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Gao G, McClellan J, Barbeira AN, Fiorica PN, Li JL, Mu Z, Olopade OI, Huo D, Im HK. A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer. Am J Hum Genet 2024; 111:1100-1113. [PMID: 38733992 PMCID: PMC11179262 DOI: 10.1016/j.ajhg.2024.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 04/13/2024] [Accepted: 04/15/2024] [Indexed: 05/13/2024] Open
Abstract
Splicing-based transcriptome-wide association studies (splicing-TWASs) of breast cancer have the potential to identify susceptibility genes. However, existing splicing-TWASs test the association of individual excised introns in breast tissue only and thus have limited power to detect susceptibility genes. In this study, we performed a multi-tissue joint splicing-TWAS that integrated splicing-TWAS signals of multiple excised introns in each gene across 11 tissues that are potentially relevant to breast cancer risk. We utilized summary statistics from a meta-analysis that combined genome-wide association study (GWAS) results of 424,650 women of European ancestry. Splicing-level prediction models were trained in GTEx (v.8) data. We identified 240 genes by the multi-tissue joint splicing-TWAS at the Bonferroni-corrected significance level; in the tissue-specific splicing-TWAS that combined TWAS signals of excised introns in genes in breast tissue only, we identified nine additional significant genes. Of these 249 genes, 88 genes in 62 loci have not been reported by previous TWASs, and 17 genes in seven loci are at least 1 Mb away from published GWAS index variants. By comparing the results of our splicing-TWASs with previous gene-expression-based TWASs that used the same summary statistics and expression prediction models trained in the same reference panel, we found that 110 genes in 70 loci that are identified only by the splicing-TWASs. Our results showed that for many genes, expression quantitative trait loci (eQTL) did not show a significant impact on breast cancer risk, whereas splicing quantitative trait loci (sQTL) showed a strong impact through intron excision events.
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Affiliation(s)
- Guimin Gao
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Julian McClellan
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Alvaro N Barbeira
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Peter N Fiorica
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - James L Li
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - Zepeng Mu
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Olufunmilayo I Olopade
- Section of Hematology and Oncology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
| | - Hae Kyung Im
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
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2
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Jia Z, Huang Y, Liu J, Liu G, Li J, Xu H, Jiang Y, Zhang S, Wang Y, Chen G, Qiao G, Li Y. Single nucleotide polymorphisms associated with female breast cancer susceptibility in Chinese population. Gene 2023; 884:147676. [PMID: 37524136 DOI: 10.1016/j.gene.2023.147676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/09/2023] [Accepted: 07/28/2023] [Indexed: 08/02/2023]
Abstract
Breast cancer is a complex disease influenced by both external and internal factors, among which genetic factors play a critical role. Single-nucleotide polymorphisms (SNPs) are major contributors to the heritability of breast cancer, and their frequencies vary across ethnic groups. In this study, we aimed to investigate the association between 34 SNPs identified in previous genome-wide association studies (GWAS) and overall breast cancer risk, as well as breast cancer subtypes, in the Chinese female population. To accomplish this, we conducted an extensive association analysis using the high-throughput Sequenom MassARRAY® platform in a case-control study comprising 1848 breast cancer patients and 709 healthy controls. Our analysis, which utilized the SNPassoc package in R based on chi-squared (χ2) test and genetic model analysis, identified significant associations between breast cancer risk and SNP rs12493607 (TGFBR2, risk allele C, OR = 1.28 [1.11-1.47], P = 0.0005), as well as a less conservatively significant association with rs4784227 (CASC16, risk allele T, OR = 1.24 [1.08-1.42], P = 0.0017) and rs2046210 (ESR1, risk allele A, OR = 1.50 [1.16-1.95], P = 0.0016). Furthermore, our stratified analyses revealed that rs12493607 was significantly associated with invasive carcinoma, estrogen receptor (ER)-positive, progesterone receptor (PR)-positive, HER2-negative, and young (aged younger than 45) breast cancer. SNP rs4784227 and rs3803662 (CASC16) were associated with invasive carcinoma and ER-positive breast cancer, while rs2046210 was linked to ductal carcinoma in situ, ER-negative, PR-negative, HER2-positive, and elder (aged more than 45) breast cancers. SNPs rs10484919 (ESR1) and rs1038304 (CCDC170) showed links to HER2-positive breast cancer, and rs616488 (PEX14) with premenopausal breast cancer. In summary, our study shed light on the relationship between SNPs and breast cancer susceptibility within a vast Chinese cohort, supporting the development of polygenetic risk scores for the Chinese population. These findings provide valuable insights into the genetic basis of breast cancer and have important implications for risk prediction, early detection, and personalized treatment of this disease.
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Affiliation(s)
- Ziqi Jia
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Yansong Huang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; School of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Jiaqi Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Gang Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jiayi Li
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; School of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Hengyi Xu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; School of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Yiwen Jiang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; School of Clinical Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Song Zhang
- Department of Breast Surgery, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Yidan Wang
- Department of Breast Surgery, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Gang Chen
- Department of Breast Surgery, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Guangdong Qiao
- Department of Breast Surgery, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai 264000, China
| | - Yalun Li
- Department of Breast Surgery, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai 264000, China.
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3
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Zheng L, Zhang Y, Wang Z, Wang H, Hao C, Li C, Zhao Y, Lyu Z, Song F, Chen K, Huang Y, Song F. Comparisons of clinical characteristics, prognosis, epidemiological factors, and genetic susceptibility between HER2-low and HER2-zero breast cancer among Chinese females. Cancer Med 2023; 12:14937-14948. [PMID: 37387469 PMCID: PMC10417066 DOI: 10.1002/cam4.6129] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 05/08/2023] [Accepted: 05/13/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Traditional human epidermal growth factor receptor 2 (HER2)-negative breast cancer (BC) is recommended to be divided into HER2-low and HER2-zero subtypes due to different prognosis. However, few studies investigated their differences in clinical characteristics and prognosis among Chinese HER2-negative BC and their stratified differences by hormone receptor (HR), while fewer studies investigated their differences in epidemiological factors and genetic susceptibility. METHODS A total of 11,911 HER2-negative BC were included to compare the clinical characteristics and prognosis between HER2-zero and HER2-low BC, and 4227 of the 11,911 HER2-negative BC were further compared to 5653 controls to investigate subtype-specific epidemiological factors and single nucleotide polymorphisms(SNPs). RESULTS Overall, 64.2% of HER2-negative BC were HER2-low BC, and the stratified proportions of HER2-low BC were 61.9% and 75.2% for HR-positive and HR-negative BC, respectively. Compared to HER2-zero BC, HER2-low BC among HR-positive BC showed younger age at diagnosis, later stage, poorer differentiation, and higher Ki-67, while elder age at diagnosis and lower mortality were observed for HER2-low BC among HR-negative BC (all p values <0.05). Compared to healthy controls, both HER2-low and HER2-zero BC are associated with similar epidemiological factors and SNPs. However, stronger interaction between epidemiological factors and polygenic risk scores were observed for HER2-zero BC than HER2-low BC among either HR-positive [odds ratios: 10.71 (7.55-15.17) and 8.84 (6.19-12.62) for the highest risk group compared to the lowest risk group] or HR-negative BC [7.00 (3.14-15.63) and 5.70 (3.26-9.98)]. CONCLUSIONS HER2-low BC should deserve more attention than HER2-zero BC, especially in HR-negative BC, due to larger proportion, less clinical heterogeneity, better prognosis, and less susceptibility to risk factors.
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Affiliation(s)
- Lu Zheng
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Yunmeng Zhang
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Zhipeng Wang
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Huan Wang
- Department of Infectious Disease Control and PreventionHeping Centers for Disease Control and Prevention of TianjinTianjinChina
| | - Chunfang Hao
- Department of Breast Cancer, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Chenyang Li
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Yanrui Zhao
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Zhangyan Lyu
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Yubei Huang
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Tianjin's Key Laboratory of Molecular Cancer Epidemiology, National Clinical Research Center for CancerTianjin Medical University Cancer Institute and Hospital, Tianjin Medical UniversityTianjinChina
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4
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Zou S, Lin Y, Yu X, Eriksson M, Lin M, Fu F, Yang H. Genetic and lifestyle factors for breast cancer risk assessment in Southeast China. Cancer Med 2023; 12:15504-15514. [PMID: 37264741 PMCID: PMC10417168 DOI: 10.1002/cam4.6198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 04/01/2023] [Accepted: 05/23/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND Despite the rising incidence and mortality of breast cancer among women in China, there are currently few predictive models for breast cancer in the Chinese population and with low accuracy. This study aimed to identify major genetic and life-style risk factors in a Chinese population for potential application in risk assessment models. METHODS A case-control study in southeast China was conducted including 1321 breast cancer patients and 2045 controls during 2013-2016, in which the data were randomly divided into a training set and a test set on a 7:3 scale. The association between genetic and life-style factors and breast cancer was examined using logistic regression models. Using AUC curves, we also compared the performance of the logistic model to machine learning models, namely LASSO regression model and support vector machine (SVM), and the scores calculated from CKB, Gail and Tyrer-Cuzick models in the test set. RESULTS Among all factors considered, the best model was achieved when polygenetic risk score, lifestyle, and reproductive factors were considered jointly in the logistic regression model (AUC = 0.73; 95% CI: 0.70-0.77). The models created in this study performed better than those using scores calculated from the CKB, Gail, and Tyrer-Cuzick models. However, the logistic model and machine learning models did not significantly differ from one another. CONCLUSION In summary, we have found genetic and lifestyle risk predictors for breast cancer with moderate discrimination, which might provide reference for breast cancer screening in southeast China. Further population-based studies are needed to validate the model for future applications in personalized breast cancer screening programs.
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Affiliation(s)
- Shuqing Zou
- Department of Epidemiology and Health Statistics, School of Public HealthFujian Medical UniversityFuzhouChina
| | - Yuxiang Lin
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Xingxing Yu
- Department of Epidemiology and Health Statistics, School of Public HealthFujian Medical UniversityFuzhouChina
| | - Mikael Eriksson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | | | - Fangmeng Fu
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Haomin Yang
- Department of Epidemiology and Health Statistics, School of Public HealthFujian Medical UniversityFuzhouChina
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
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5
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Jia G, Ping J, Shu X, Yang Y, Cai Q, Kweon SS, Choi JY, Kubo M, Park SK, Bolla MK, Dennis J, Wang Q, Guo X, Li B, Tao R, Aronson KJ, Chan TL, Gao YT, Hartman M, Ho WK, Ito H, Iwasaki M, Iwata H, John EM, Kasuga Y, Kim MK, Kurian AW, Kwong A, Li J, Lophatananon A, Low SK, Mariapun S, Matsuda K, Matsuo K, Muir K, Noh DY, Park B, Park MH, Shen CY, Shin MH, Spinelli JJ, Takahashi A, Tseng C, Tsugane S, Wu AH, Yamaji T, Zheng Y, Dunning AM, Pharoah PDP, Teo SH, Kang D, Easton DF, Simard J, Shu XO, Long J, Zheng W. Genome- and transcriptome-wide association studies of 386,000 Asian and European-ancestry women provide new insights into breast cancer genetics. Am J Hum Genet 2022; 109:2185-2195. [PMID: 36356581 PMCID: PMC9748250 DOI: 10.1016/j.ajhg.2022.10.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 10/20/2022] [Indexed: 11/10/2022] Open
Abstract
By combining data from 160,500 individuals with breast cancer and 226,196 controls of Asian and European ancestry, we conducted genome- and transcriptome-wide association studies of breast cancer. We identified 222 genetic risk loci and 137 genes that were associated with breast cancer risk at a p < 5.0 × 10-8 and a Bonferroni-corrected p < 4.6 × 10-6, respectively. Of them, 32 loci and 15 genes showed a significantly different association between ER-positive and ER-negative breast cancer after Bonferroni correction. Significant ancestral differences in risk variant allele frequencies and their association strengths with breast cancer risk were identified. Of the significant associations identified in this study, 17 loci and 14 genes are located 1Mb away from any of the previously reported breast cancer risk variants. Pathways analyses including 221 putative risk genes identified multiple signaling pathways that may play a significant role in the development of breast cancer. Our study provides a comprehensive understanding of and new biological insights into the genetics of this common malignancy.
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Affiliation(s)
- Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Jie Ping
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Xiang Shu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Sue K Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kristan J Aronson
- Department of Public Health Sciences and Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR, China; Department of Molecular Pathology, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mikael Hartman
- Department of Surgery, National University Hospital, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Weang Kee Ho
- Department of Applied Mathematics, Faculty of Engineering, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center, Nagoya, Aichi, Japan
| | - Esther M John
- Departments of Epidemiology, Cancer Prevention Institute of California, Fremont, CA, USA; Departments of Health Research and Policy, School of Medicine, Stanford University, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Yoshio Kasuga
- Department of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan
| | - Mi-Kyung Kim
- Division of Cancer Epidemiology and Management, National Cancer Center, Goyang, Korea
| | - Allison W Kurian
- Departments of Health Research and Policy, School of Medicine, Stanford University, Stanford, CA, USA
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR, China; Department of Surgery, University of Hong Kong, Hong Kong SAR, China; Department of Surgery, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China
| | - Jingmei Li
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Human Genetics, Genome Institute of Singapore, Singapore, Singapore; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK; Institute of Population Health, University of Manchester, Manchester, UK
| | - Siew-Kee Low
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK; Institute of Population Health, University of Manchester, Manchester, UK
| | - Dong-Young Noh
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea; Department of Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Boyoung Park
- Department of Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Min-Ho Park
- Department of Surgery, Chonnam National University Medical School, Gwangju, Korea
| | - Chen-Yang Shen
- College of Public Health, China Medical University, Taichong, Taiwan; Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - John J Spinelli
- Department of Cancer Control Research, British Columbia Cancer Agency, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Atsushi Takahashi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shoichiro Tsugane
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia; Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpar, Malaysia
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval, Research Center, Québec City, QC, Canada
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, USA.
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6
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Zavala VA, Casavilca-Zambrano S, Navarro-Vásquez J, Castañeda CA, Valencia G, Morante Z, Calderón M, Abugattas JE, Gómez H, Fuentes HA, Liendo-Picoaga R, Cotrina JM, Monge C, Neciosup SP, Huntsman S, Hu D, Sánchez SE, Williams MA, Núñez-Marrero A, Godoy L, Hechmer A, Olshen AB, Dutil J, Ziv E, Zabaleta J, Gelaye B, Vásquez J, Gálvez-Nino M, Enriquez-Vera D, Vidaurre T, Fejerman L. Association between Ancestry-Specific 6q25 Variants and Breast Cancer Subtypes in Peruvian Women. Cancer Epidemiol Biomarkers Prev 2022; 31:1602-1609. [PMID: 35654312 PMCID: PMC9662925 DOI: 10.1158/1055-9965.epi-22-0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/07/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Breast cancer incidence in the United States is lower in Hispanic/Latina (H/L) compared with African American/Black or Non-Hispanic White women. An Indigenous American breast cancer-protective germline variant (rs140068132) has been reported near the estrogen receptor 1 gene. This study tests the association of rs140068132 and other polymorphisms in the 6q25 region with subtype-specific breast cancer risk in H/Ls of high Indigenous American ancestry. METHODS Genotypes were obtained for 5,094 Peruvian women with (1,755) and without (3,337) breast cancer. Associations between genotype and overall and subtype-specific risk for the protective variant were tested using logistic regression models and conditional analyses, including other risk-associated polymorphisms in the region. RESULTS We replicated the reported association between rs140068132 and breast cancer risk overall [odds ratio (OR), 0.53; 95% confidence interval (CI), 0.47-0.59], as well as the lower odds of developing hormone receptor negative (HR-) versus HR+ disease (OR, 0.77; 95% CI, 0.61-0.97). Models, including HER2, showed further heterogeneity with reduced odds for HR+HER2+ (OR, 0.68; 95% CI, 0.51-0.92), HR-HER2+ (OR, 0.63; 95% CI, 0.44-0.90) and HR-HER2- (OR, 0.77; 95% CI, 0.56-1.05) compared with HR+HER2-. Inclusion of other risk-associated variants did not change these observations. CONCLUSIONS The rs140068132 polymorphism is associated with decreased risk of breast cancer in Peruvians and is more protective against HR- and HER2+ diseases independently of other breast cancer-associated variants in the 6q25 region. IMPACT These results could inform functional analyses to understand the mechanism by which rs140068132-G reduces risk of breast cancer development in a subtype-specific manner. They also illustrate the importance of including diverse individuals in genetic studies.
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Affiliation(s)
- Valentina A. Zavala
- Department of Public Health Sciences, University of California Davis, Davis, California
| | | | | | | | | | - Zaida Morante
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | - Henry Gómez
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | | | - Claudia Monge
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | - Scott Huntsman
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Donglei Hu
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Sixto E. Sánchez
- Universidad Peruana de Ciencias Aplicadas, Lima, Peru and Asociación Civil Proyectos en Salud (PROESA), Lima, Peru
| | - Michelle A. Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Angel Núñez-Marrero
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Lenin Godoy
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Aaron Hechmer
- Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Adam B. Olshen
- Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Julie Dutil
- Department of Biochemistry, Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | - Jovanny Zabaleta
- Department of Pediatrics and Stanley S. Scott Cancer Center LSUHSC, New Orleans, Louisiana
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jule Vásquez
- Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru
| | | | | | | | - Laura Fejerman
- Department of Public Health Sciences, University of California Davis, Davis, California
- UC Davis Comprehensive Cancer Center, University of California Davis, Davis, California
- Corresponding Author: Laura Fejerman, UC Davis Comprehensive Cancer Center, 451 Health Sciences Drive, Davis, CA 95616. Phone: 530-754-1690; E-mail:
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7
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Yang Y, Tao R, Shu X, Cai Q, Wen W, Gu K, Gao YT, Zheng Y, Kweon SS, Shin MH, Choi JY, Lee ES, Kong SY, Park B, Park MH, Jia G, Li B, Kang D, Shu XO, Long J, Zheng W. Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Breast Cancer Risk Prediction Among Asian Women. JAMA Netw Open 2022; 5:e2149030. [PMID: 35311964 PMCID: PMC8938714 DOI: 10.1001/jamanetworkopen.2021.49030] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
IMPORTANCE Polygenic risk scores (PRSs) have shown promise in breast cancer risk prediction; however, limited studies have been conducted among Asian women. OBJECTIVE To develop breast cancer risk prediction models for Asian women incorporating PRSs and nongenetic risk factors. DESIGN, SETTING, AND PARTICIPANTS This diagnostic study included women of Asian ancestry from the Asia Breast Cancer Consortium. PRSs were developed using data from genomewide association studies (GWASs) of breast cancer conducted among 123 041 women with Asian ancestry (including 18 650 women with breast cancer) using 3 approaches: (1) reported PRS for women with European ancestry; (2) breast cancer-associated single-nucleotide variations (SNVs) identified by fine-mapping of GWAS-identified risk loci; and (3) genomewide risk prediction algorithms. A nongenetic risk score (NGRS) was built, including 7 well-established nongenetic risk factors, using data of 416 case participants and 1558 control participants from a prospective cohort study. PRSs were initially validated in an independent data set including 1426 case participants and 1323 control participants and further evaluated, along with the NGRS, in the second data set including 368 case participants and 736 control participants nested within a prospective cohort study. MAIN OUTCOMES AND MEASURES Logistic regression was used to examine associations of risk scores with breast cancer risk to estimate odds ratios (ORs) with 95% CIs and area under the receiver operating characteristic curve (AUC). RESULTS A total of 126 894 women of Asian ancestry were included; 20 444 (16.1%) had breast cancer. The mean (SD) age ranged from 49.1 (10.8) to 54.4 (10.4) years for case participants and 50.6 (9.5) to 54.0 (7.4) years for control participants among studies that provided demographic characteristics. In the prospective cohort, a PRS with 111 SNVs developed using the fine-mapping approach (PRS111) showed a prediction performance comparable with a genomewide PRS that included more than 855 000 SNVs. The OR per SD increase of PRS111 score was 1.67 (95% CI, 1.46-1.92), with an AUC of 0.639 (95% CI, 0.604-0.674). The NGRS had a limited predictive ability (AUC, 0.565; 95% CI, 0.529-0.601). Compared with the average risk group (40th-60th percentile), women in the top 5% of PRS111 and NGRS were at a 3.84-fold (95% CI, 2.30-6.46) and 2.10-fold (95% CI, 1.22-3.62) higher risk of breast cancer, respectively. The prediction model including both PRS111 and NGRS achieved the highest prediction accuracy (AUC, 0.648; 95% CI, 0.613-0.682). CONCLUSIONS AND RELEVANCE In this study, PRSs derived using breast cancer risk-associated SNVs had similar predictive performance in Asian and European women. Including nongenetic risk factors in models further improved prediction accuracy. These findings support the utility of these models in developing personalized screening and prevention strategies.
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Affiliation(s)
- Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Xiang Shu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kai Gu
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai Institutes of Preventive Medicine, Shanghai, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Zheng
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, South Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, South Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Eun-Sook Lee
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
- Hospital, National Cancer Center, Goyang, South Korea
- Research Institute, National Cancer Center, Goyang, South Korea
| | - Sun-Young Kong
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, South Korea
- Hospital, National Cancer Center, Goyang, South Korea
- Research Institute, National Cancer Center, Goyang, South Korea
| | - Boyoung Park
- Research Institute, National Cancer Center, Goyang, South Korea
- Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Min Ho Park
- Department of Surgery, Chonnam National University Medical School & Hospital, Hwasun, South Korea
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, South Korea
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
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Wang YS, Guo R, Yang DC, Xu Y, Hui YX, Li DD, Tang SC, Tang YY. The Interaction of NTN4 and miR-17-92 Polymorphisms on Breast Cancer Susceptibility in a Chinese Population. Clin Breast Cancer 2021; 22:e544-e551. [DOI: 10.1016/j.clbc.2021.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/31/2021] [Accepted: 12/05/2021] [Indexed: 11/03/2022]
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9
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A Personal Breast Cancer Risk Stratification Model Using Common Variants and Environmental Risk Factors in Japanese Females. Cancers (Basel) 2021; 13:cancers13153796. [PMID: 34359697 PMCID: PMC8345053 DOI: 10.3390/cancers13153796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/23/2021] [Accepted: 07/24/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Breast cancer remains the most common cancer in females, warranting the development of new approaches to prevention. One such approach is personalized prevention using genetic risk models. Here, we developed a risk model using both genetic and environmental risk factors. Results showed that a genetic risk score defined by the number of risk alleles for 14 breast cancer risk SNPs clearly stratified breast cancer risk. Moreover, the combination of this genetic risk score model with an environmental risk model which included established environmental risk factors showed significantly better C-statistics than the environmental risk model alone. This genetic risk score model in combination with the environmental model may be suitable for stratifying individual breast cancer risk, and may form the basis for a new personalized approach to breast cancer prevention. Abstract Personalized approaches to prevention based on genetic risk models have been anticipated, and many models for the prediction of individual breast cancer risk have been developed. However, few studies have evaluated personalized risk using both genetic and environmental factors. We developed a risk model using genetic and environmental risk factors using 1319 breast cancer cases and 2094 controls from three case–control studies in Japan. Risk groups were defined based on the number of risk alleles for 14 breast cancer susceptibility loci, namely low (0–10 alleles), moderate (11–16) and high (17+). Environmental risk factors were collected using a self-administered questionnaire and implemented with harmonization. Odds ratio (OR) and C-statistics, calculated using a logistic regression model, were used to evaluate breast cancer susceptibility and model performance. Respective breast cancer ORs in the moderate- and high-risk groups were 1.69 (95% confidence interval, 1.39–2.04) and 3.27 (2.46–4.34) compared with the low-risk group. The C-statistic for the environmental model of 0.616 (0.596–0.636) was significantly improved by combination with the genetic model, to 0.659 (0.640–0.678). This combined genetic and environmental risk model may be suitable for the stratification of individuals by breast cancer risk. New approaches to breast cancer prevention using the model are warranted.
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10
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Xu J, Li G, Chen M, Li W, Wu Y, Zhang X, Cui Y, Zhang B. rs12537 Is a Novel Susceptibility SNP Associated With Estrogen Receptor Positive Breast Cancer in Chinese Han Population. Front Med (Lausanne) 2021; 8:708644. [PMID: 34395483 PMCID: PMC8355624 DOI: 10.3389/fmed.2021.708644] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 06/21/2021] [Indexed: 01/15/2023] Open
Abstract
Genetic testing is widely used in breast cancer and has identified a lot of susceptibility genes and single nucleotide polymorphisms (SNPs). However, for many SNPs, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are not in place. A recent genome-wide long non-coding RNA (lncRNA) association study in Chinese Han has verified a genetic association between rs12537 and breast cancer. This study is aimed at investigating the association between rs12537 and the phenotype. We collected the clinical information of 5,634 breast cancer patients and 6,308 healthy controls in the early study. And χ2 test was used for the comparison between different groups in genotype. The frequency of genotypic distribution among SNP rs12537 has no statistically significant correlation with family history (p = 0.8945), menopausal status (p = 0.3245) or HER-2 (p = 0.2987), but it is statistically and significantly correlated with ER (p = 0.004006) and PR (p = 0.01379). Most importantly, compared to the healthy control, rs12537 variant is significantly correlated with ER positive patients and the p-value has reached the level of the whole genome (p = 1.66E-08 <5.00E-08). Furthermore, we found rs12537 associated gene MTMR3 was lower expressed in breast cancer tissues but highly methylated. In conclusion, our findings indicate that rs12537 is a novel susceptibility gene in ER positive breast cancer in Chinese Han population and it may influence the methylation of MTMR3.
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Affiliation(s)
- Jingkai Xu
- Department of Dermatology, China-Japan Friendship Hospital, Beijing, China.,Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Guozheng Li
- School of Life Sciences, Anhui Medical University, Hefei, China.,Department of Oncology, No. 2 Hospital, Anhui Medical University, Hefei, China
| | - Mengyun Chen
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenjing Li
- School of Life Sciences, Anhui Medical University, Hefei, China.,Department of Oncology, No. 2 Hospital, Anhui Medical University, Hefei, China
| | - Yaxing Wu
- School of Life Sciences, Anhui Medical University, Hefei, China.,Department of Oncology, No. 2 Hospital, Anhui Medical University, Hefei, China
| | - Xuejun Zhang
- Department of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yong Cui
- Department of Dermatology, China-Japan Friendship Hospital, Beijing, China
| | - Bo Zhang
- School of Life Sciences, Anhui Medical University, Hefei, China.,Department of Oncology, No. 2 Hospital, Anhui Medical University, Hefei, China
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11
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A transposon screen identifies enhancement of NF-κB pathway as a mechanism of resistance to eribulin. Breast Cancer 2021; 28:884-895. [PMID: 33616862 DOI: 10.1007/s12282-021-01224-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 02/07/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND Eribulin mesylate (eribulin) is an efficient microtubule inhibitor that is used for metastatic breast cancer. However, breast cancer can develop resistance to eribulin. This resistance mechanism needs to be elucidated. METHODS A transposon mutagenesis screen was conducted using a pPB-SB-CMV-puro-SD plasmid and pCMV-PBase transposase. Viability and cytotoxicity were analyzed by MTT assay and flow cytometry, respectively. Real-time PCR and western blot were used for gene expression analysis. In addition, vivo study was also designed to analyze therapy efficiency. RESULTS TAB2, which is part of the nuclear factor-kappa B (NF-κB) pathway, was identified as a candidate eribulin-resistant gene. TAB2 down-regulation resulted in significantly lower cell viability and higher cytotoxicity of cells treated with eribulin, while TAB2 up-regulation showed opposite results. Similarly, combination of NF-κB inhibitors [Bay-117082 and QNZ (quinazoline derivative)] with eribulin showed significantly lower cell viability and higher drug cytotoxicity than single agent treatment with eribulin in MDA-MB-231 cells. However, QNZ increased NF-κB activity in MCF7 cells by up-regulating TAB2, which reduced the sensitivity to eribulin. Furthermore, combination of Bay-117082 with eribulin induced greater regression of MDA-MB-231 tumors compared to eribulin monotherapy in vivo. CONCLUSIONS These results consistently illustrated that TAB2-NF-κB pathway may increases resistance to eribulin in breast cancer models. Moreover, these results support the use of a combination strategy of eribulin with NF-κB inhibitors, and provide evidence that transposon mutagenesis screens are capable of identifying drug-resistant genes.
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12
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Coignard J, Lush M, Beesley J, O'Mara TA, Dennis J, Tyrer JP, Barnes DR, McGuffog L, Leslie G, Bolla MK, Adank MA, Agata S, Ahearn T, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Arnold N, Aronson KJ, Arun BK, Augustinsson A, Azzollini J, Barrowdale D, Baynes C, Becher H, Bermisheva M, Bernstein L, Białkowska K, Blomqvist C, Bojesen SE, Bonanni B, Borg A, Brauch H, Brenner H, Burwinkel B, Buys SS, Caldés T, Caligo MA, Campa D, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Chung WK, Claes KBM, Clarke CL, Collée JM, Conroy DM, Czene K, Daly MB, Devilee P, Diez O, Ding YC, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, Garcia-Barberan V, García-Closas M, García-Sáenz JA, Gaudet MM, Gayther SA, Gehrig A, Georgoulias V, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, He W, Hogervorst FBL, Hollestelle A, Hopper JL, Horcasitas DJ, Hulick PJ, Hunter DJ, Imyanitov EN, Jager A, Jakubowska A, James PA, Jensen UB, John EM, Jones ME, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khusnutdinova E, Kiiski JI, Ko YD, Kosma VM, Kraft P, Kurian AW, Laitman Y, Lambrechts D, Le Marchand L, Lester J, Lesueur F, Lindstrom T, Lopez-Fernández A, Loud JT, Luccarini C, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mebirouk N, Meindl A, Miller A, Milne RL, Montagna M, Nathanson KL, Neuhausen SL, Nevanlinna H, Nielsen FC, O'Brien KM, Olopade OI, Olson JE, Olsson H, Osorio A, Ottini L, Park-Simon TW, Parsons MT, Pedersen IS, Peshkin B, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Polley EC, Poppe B, Presneau N, Pujana MA, Punie K, Radice P, Rantala J, Rashid MU, Rennert G, Rennert HS, Robson M, Romero A, Rossing M, Saloustros E, Sandler DP, Santella R, Scheuner MT, Schmidt MK, Schmidt G, Scott C, Sharma P, Soucy P, Southey MC, Spinelli JJ, Steinsnyder Z, Stone J, Stoppa-Lyonnet D, Swerdlow A, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Teulé A, Thull DL, Tischkowitz M, Toland AE, Torres D, Trainer AH, Truong T, Tung N, Vachon CM, Vega A, Vijai J, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wolk A, Yadav S, Yang XR, Yannoukakos D, Zheng W, Ziogas A, Zorn KK, Park SK, Thomassen M, Offit K, Schmutzler RK, Couch FJ, Simard J, Chenevix-Trench G, Easton DF, Andrieu N, Antoniou AC. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers. Nat Commun 2021; 12:1078. [PMID: 33597508 PMCID: PMC7890067 DOI: 10.1038/s41467-020-20496-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 11/19/2020] [Indexed: 02/02/2023] Open
Abstract
Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P < 10-8, at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD, SP11 and EIF1, genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.
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Affiliation(s)
- Juliette Coignard
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- PSL University Paris, Paris, France
- Paris Sud University, Orsay, France
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Tracy A O'Mara
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan P Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Daniel R Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Goska Leslie
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Muriel A Adank
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Simona Agata
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Thomas Ahearn
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics University of Toronto, Toronto, ON, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Norbert Arnold
- Department of Gynaecology and Obstetrics University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
- Institute of Clinical Molecular Biology University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute Queen's University, Kingston, ON, Canada
| | - Banu K Arun
- Department of Breast Medical Oncology University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Heiko Becher
- Institute for Medical Biometrics and Epidemiology University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
| | - Leslie Bernstein
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Katarzyna Białkowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital University of Helsinki, Helsinki, Finland
- Department of Oncology Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences University of Copenhagen, Copenhagen, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Ake Borg
- Department of Oncology Lund University and Skåne University Hospital, Lund, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence University of Tübingen, Tübingen, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, C080 German Cancer Research Center (DKFZ), Heidelberg, Germany
- Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg University of Heidelberg, Heidelberg, Germany
| | - Saundra S Buys
- Department of Medicine Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Trinidad Caldés
- Molecular Oncology Laboratory CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain
| | - Maria A Caligo
- SOD Genetica Molecolare University Hospital, Pisa, Italy
| | - Daniele Campa
- Department of Biology University of Pisa, Pisa, Italy
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Brian D Carter
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Jose E Castelao
- Oncology and Genetics Unit Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA
| | | | - Christine L Clarke
- Westmead Institute for Medical Research University of Sydney, Sydney, NSW, Australia
| | - J Margriet Collée
- Department of Clinical Genetics Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics Fox Chase Cancer Center Philadelphia, Philadelphia, PA, USA
| | - Peter Devilee
- Department of Pathology Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics Leiden University Medical Center, Leiden, The Netherlands
| | - Orland Diez
- Oncogenetics Group Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Clinical and Molecular Genetics Area University Hospital Vall d'Hebron, Barcelona, Spain
| | - Yuan Chun Ding
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Susan M Domchek
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Miriam Dwek
- School of Life Sciences University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine University of Southampton, Southampton, UK
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - D Gareth Evans
- Genomic Medicine, Division of Evolution and Genomic Sciences The University of Manchester, Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK
- Genomic Medicine, North West Genomics hub Manchester Academic Health Science Centre, Manchester Universities Foundation Trust, St Mary's Hospital, Manchester, UK
| | - Peter A Fasching
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology University of California at Los Angeles, Los Angeles, CA, USA
- Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN University Hospital Erlangen, Friedrich-Alexander-University, Erlangen-Nuremberg, Erlangen, Germany
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital Copenhagen University Hospital, Herlev, Denmark
| | - Florentia Fostira
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Eitan Friedman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine Tel Aviv University, Ramat Aviv, Israel
| | - Lin Fritschi
- School of Public Health Curtin University, Perth, Western Australia, Australia
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center University of California, San Diego La Jolla, CA, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Judy Garber
- Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vanesa Garcia-Barberan
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group American Cancer Society Atlanta, Atlanta, GA, USA
| | - Simon A Gayther
- Center for Bioinformatics and Functional Genomics and the Cedars Sinai Genomics Core Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrea Gehrig
- Department of Human Genetics University Würzburg, Würzburg, Germany
| | | | - Graham G Giles
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, QC, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital McGill University Montréal, Montréal, QC, Canada
| | - David E Goldgar
- Huntsman Cancer Institute and Department of Dermatology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Anna González-Neira
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Lothar Haeberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine University of Southern California, Los Angeles, CA, USA
| | | | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Patricia A Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Wei He
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Frans B L Hogervorst
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Darling J Horcasitas
- New Mexico Oncology Hematology Consultants, University of New Mexico, Albuquerque, NM, USA
| | - Peter J Hulick
- Center for Medical Genetics NorthShore University HealthSystem, Evanston, IL, USA
- The University of Chicago Pritzker School of Medicine Chicago, Chicago, IL, USA
| | - David J Hunter
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
- Nuffield Department of Population Health University of Oxford, Oxford, UK
| | | | - Agnes Jager
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Anna Jakubowska
- Department of Genetics and Pathology Pomeranian Medical University Szczecin, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics Pomeranian Medical University, Szczecin, Poland
| | - Paul A James
- Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia
- Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia
| | - Uffe Birk Jensen
- Department of Clinical Genetics Aarhus, University Hospital, Aarhus, Denmark
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha Kapoor
- Division of Cancer Epidemiology German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Genetics and Epidemiology The Institute of Cancer Research, London, UK
| | - Beth Y Karlan
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany
- David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Renske Keeman
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Division of Molecular Pathology The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Johanna I Kiiski
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Yon-Dschun Ko
- Department of Obstetrics and Gynecology, Helsinki University Hospital University of Helsinki, Helsinki, Finland
| | - Veli-Matti Kosma
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany
- Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Peter Kraft
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | - Allison W Kurian
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Yael Laitman
- The Susanne Levy Gertner Oncogenetics Unit Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Human Genetics University of Leuven, Leuven, Belgium
| | - Loic Le Marchand
- Epidemiology Program University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jenny Lester
- Faculty of Medicine University of Heidelberg, Heidelberg, Germany
- David Geffen School of Medicine, Department of Obstetrics and Gynecology University of California at Los Angeles, Los Angeles, CA, USA
| | - Fabienne Lesueur
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- PSL University Paris, Paris, France
| | - Tricia Lindstrom
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Adria Lopez-Fernández
- High Risk and Cancer Prevention Group Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Jennifer T Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute, Bethesda, MD, USA
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Arto Mannermaa
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH Johanniter Krankenhaus, Bonn, Germany
- Translational Cancer Research Area University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine University of Eastern Finland, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Medical Oncology and Hematology Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Noura Mebirouk
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France
- Institut Curie Paris, Paris, France
- Mines ParisTech Fontainebleau, Paris, France
- PSL University Paris, Paris, France
| | - Alfons Meindl
- Department of Gynecology and Obstetrics University of Munich, Campus Grosshadern, Munich, Germany
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Roger L Milne
- Cancer Epidemiology Division Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
| | - Marco Montagna
- Immunology and Molecular Oncology, Unit Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Katherine L Nathanson
- Basser Center for BRCA, Abramson Cancer Center University of Pennsylvania, Philadelphia, PA, USA
| | - Susan L Neuhausen
- Department of Population Sciences Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Heli Nevanlinna
- Department of Genetics and Fundamental Medicine Bashkir State Medical University, Ufa, Russia
| | - Finn C Nielsen
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Katie M O'Brien
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | | | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences Lund University, Lund, 22242, Sweden
| | - Ana Osorio
- Human Cancer Genetics Programme Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Laura Ottini
- Department of Molecular Medicine University La Sapienza, Rome, Italy
| | | | - Michael T Parsons
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Inge Sokilde Pedersen
- Molecular Diagnostics Aalborg University Hospital, Aalborg, Denmark
- Clinical Cancer Research Center Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine Aalborg University, Aalborg, Denmark
| | - Beth Peshkin
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Paolo Peterlongo
- Genome Diagnostics Program IFOM - the FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology London School of Hygiene and Tropical Medicine, London, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Kelly-Anne Phillips
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology The University of Melbourne, Melbourne, VIC, Australia
| | - Eric C Polley
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bruce Poppe
- Centre for Medical Genetics Ghent University, Gent, Belgium
| | - Nadege Presneau
- School of Life Sciences University of Westminster, London, UK
| | - Miquel Angel Pujana
- Translational Research Laboratory IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Kevin Punie
- Leuven Multidisciplinary Breast Center, Department of Oncology Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy
| | | | - Muhammad U Rashid
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Basic Sciences Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore, Pakistan
| | - Gad Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Mark Robson
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Atocha Romero
- Medical Oncology Department Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Maria Rossing
- Center for Genomic Medicine Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Dale P Sandler
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
| | - Regina Santella
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Maren T Scheuner
- Cancer Genetics and Prevention Program University of California San Francisco, San Francisco, CA, USA
| | - Marjanka K Schmidt
- Womenís Cancer Program at the Samuel Oschin Comprehensive Cancer Institute Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Psychosocial Research and Epidemiology The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Gunnar Schmidt
- Institute of Human Genetics Hannover Medical School, Hannover, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Priyanka Sharma
- Department of Internal Medicine, Division of Medical Oncology University of Kansas Medical Center, Westwood, KS, USA
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval Research Center, Québec City, QC, Canada
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Clayton, VIC, Australia
- Department of Clinical Pathology The University of Melbourne, Melbourne, VIC, Australia
| | - John J Spinelli
- Population Oncology BC Cancer, Vancouver, BC, Canada
- School of Population and Public Health University of British Columbia, Vancouver, BC, Canada
| | - Zoe Steinsnyder
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jennifer Stone
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- The Curtin UWA Centre for Genetic Origins of Health and Disease Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Dominique Stoppa-Lyonnet
- Service de Génétique Institut Curie, Paris, France
- Department of Tumour Biology INSERM U830, Paris, France
- Université Paris Descartes, Paris, France
| | - Anthony Swerdlow
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Division of Breast Cancer Research Institute of Cancer Research, London, UK
| | - Rulla M Tamimi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology Harvard TH Chan School of Public Health, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics Harvard TH Chan School of Public Health Boston, Boston, MA, USA
| | | | - Jack A Taylor
- Epidemiology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Durham, NC, USA
- Epigenetic and Stem Cell Biology Laboratory National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Alex Teulé
- Hereditary Cancer Program ONCOBELL-IDIBELL-IDIBGI-IGTP, Catalan Institute of Oncology, CIBERONC, Barcelona, Spain
| | - Darcy L Thull
- Department of Medicine Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology McGill University, Montréal, QC, Canada
- Department of Medical Genetics, National Institute for Health Research Cambridge Biomedical Research Center, University of Cambridge, Cambridge, UK
| | - Amanda E Toland
- Department of Cancer Biology and Genetics The Ohio State University, Columbus, OH, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics Pontificia Universidad Javeriana, Bogota, Colombia
| | - Alison H Trainer
- Parkville Familial Cancer Centre Peter MacCallum Cancer Center, Melbourne, VIC, Australia
- Department of medicine University Of Melbourne, Melbourne, VIC, Australia
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP) INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Nadine Tung
- Department of Medical Oncology Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology Mayo Clinic, Rochester, MN, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica-SERGAS, Instituto de Investigación Sanitaria Santiago de Compostela (IDIS); CIBERER, Santiago de Compostela, Spain
| | - Joseph Vijai
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Barbara Wappenschmidt
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, NIH Research Triangle Park, Triangle Park, NC, USA
| | | | - Camilla Wendt
- Department of Clinical Science and Education, Södersjukhuset Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences Uppsala University, Uppsala, Sweden
| | | | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES National Centre for Scientific Research íDemokritosí, Athens, Greece
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Argyrios Ziogas
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Kristin K Zorn
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sue K Park
- Department of Preventive Medicine Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute Seoul National University, Seoul, Korea
| | - Mads Thomassen
- Department of Clinical Genetics Odense University Hospital, Odence C, Denmark
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO) Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology Mayo Clinic, Rochester, MN, USA
| | - Jacques Simard
- Department of Epidemiology, Genetic Epidemiology Research Institute University of California Irvine, Irvine, CA, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology University of Cambridge, Cambridge, UK
| | - Nadine Andrieu
- Genetic Epidemiology of Cancer team, Inserm, U900, Paris, France.
- Institut Curie Paris, Paris, France.
- Mines ParisTech Fontainebleau, Paris, France.
- PSL University Paris, Paris, France.
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
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13
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Han SA, Kim SW. BRCA and Breast Cancer-Related High-Penetrance Genes. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1187:473-490. [PMID: 33983595 DOI: 10.1007/978-981-32-9620-6_25] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Genetic susceptibility explains 5-10% of all breast cancer cases. High-penetrance breast cancer susceptibility genes deliberate a greater than tenfold relative risk of breast cancer. BRCA1 and BRCA2 genes are the most common cause of hereditary breast cancer, and TP53, PTEN, and SKT11 (LKB1) are rarely present. The prevalence of BRCA1 and BRCA2 genetic alterations differ in various ethnic groups. The Korean Hereditary Breast Cancer (KOHBRA) Study, nationwide-scale study, was established to acquire evidence for the accurate risk assessment and management of hereditary breast and ovarian cancer (HBOC) in Korea prospectively since 2007. In this chapter, we review previous research related to hereditary breast cancer and summarize the present concepts and research results centered on the Korean Hereditary Breast Cancer Research at this time.
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Affiliation(s)
- Sang-Ah Han
- Kyung Hee University, School of Medicine, Seoul, South Korea.
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14
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Expanding cancer predisposition genes with ultra-rare cancer-exclusive human variations. Sci Rep 2020; 10:13462. [PMID: 32778766 PMCID: PMC7418036 DOI: 10.1038/s41598-020-70494-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 07/28/2020] [Indexed: 12/18/2022] Open
Abstract
It is estimated that up to 10% of cancer incidents are attributed to inherited genetic alterations. Despite extensive research, there are still gaps in our understanding of genetic predisposition to cancer. It was theorized that ultra-rare variants partially account for the missing heritable component. We harness the UK BioBank dataset of ~ 500,000 individuals, 14% of which were diagnosed with cancer, to detect ultra-rare, possibly high-penetrance cancer predisposition variants. We report on 115 cancer-exclusive ultra-rare variations and nominate 26 variants with additional independent evidence as cancer predisposition variants. We conclude that population cohorts are valuable source for expanding the collection of novel cancer predisposition genes.
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15
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Afzaljavan F, Moezzi A, Vahednia E, Khorshid Shamshiri A, Vakili F, Homaei Shandiz F, Pasdar A. Predictive and prognostic value of LSP1 rs3817198 in sporadic breast cancer in northeastern population of Iran. Exp Mol Pathol 2020; 116:104514. [PMID: 32738313 DOI: 10.1016/j.yexmp.2020.104514] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/25/2020] [Accepted: 07/25/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Fahimeh Afzaljavan
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran; Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Atefeh Moezzi
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran; Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Elham Vahednia
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran
| | - Asma Khorshid Shamshiri
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran; Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Vakili
- Midwifery department, Faculty of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Alireza Pasdar
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran; Division of Applied Medicine, Medical School, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK; Bioinformatics Research Group, Mashhad University of Medical Sciences, Mashhad, Iran.
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16
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López-Cortés A, Paz-Y-Miño C, Guerrero S, Cabrera-Andrade A, Barigye SJ, Munteanu CR, González-Díaz H, Pazos A, Pérez-Castillo Y, Tejera E. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine. Sci Rep 2020; 10:5285. [PMID: 32210335 PMCID: PMC7093549 DOI: 10.1038/s41598-020-62279-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 03/02/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diagnosed cancer worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic targets, a better understanding of BC molecular processes is required. Here we focused on elucidating the molecular hallmarks of BC heterogeneity and the oncogenic mutations involved in precision medicine that remains poorly defined. To fill this gap, we established an OncoOmics strategy that consists of analyzing genomic alterations, signaling pathways, protein-protein interactome network, protein expression, dependency maps in cell lines and patient-derived xenografts in 230 previously prioritized genes to reveal essential genes in breast cancer. As results, the OncoOmics BC essential genes were rationally filtered to 140. mRNA up-regulation was the most prevalent genomic alteration. The most altered signaling pathways were associated with basal-like and Her2-enriched molecular subtypes. RAC1, AKT1, CCND1, PIK3CA, ERBB2, CDH1, MAPK14, TP53, MAPK1, SRC, RAC3, BCL2, CTNNB1, EGFR, CDK2, GRB2, MED1 and GATA3 were essential genes in at least three OncoOmics approaches. Drugs with the highest amount of clinical trials in phases 3 and 4 were paclitaxel, docetaxel, trastuzumab, tamoxifen and doxorubicin. Lastly, we collected ~3,500 somatic and germline oncogenic variants associated with 50 essential genes, which in turn had therapeutic connectivity with 73 drugs. In conclusion, the OncoOmics strategy reveals essential genes capable of accelerating the development of targeted therapies for precision oncology.
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Affiliation(s)
- Andrés López-Cortés
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Mariscal Sucre Avenue, Quito, 170129, Ecuador.
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruna, 15071, Spain.
- Red Latinoamericana de Implementación y Validación de Guías Clínicas Farmacogenómicas (RELIVAF-CYTED), Quito, Ecuador.
| | - César Paz-Y-Miño
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Mariscal Sucre Avenue, Quito, 170129, Ecuador
| | - Santiago Guerrero
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Mariscal Sucre Avenue, Quito, 170129, Ecuador
| | - Alejandro Cabrera-Andrade
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruna, 15071, Spain
- Carrera de Enfermería, Facultad de Ciencias de la Salud, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador
| | - Stephen J Barigye
- Department of Chemistry, McGill University, 801 Sherbrooke Street West, Montreal, QC, H3A 0B8, Canada
| | - Cristian R Munteanu
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruna, 15071, Spain
- Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruna (CHUAC), A Coruna, 15006, Spain
- Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC), Campus de Elviña s/n, A Coruna, 15071, Spain
| | - Humberto González-Díaz
- Department of Organic Chemistry II, University of the Basque Country UPV/EHU, Leioa, 48940, Biscay, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, 48011, Biscay, Spain
| | - Alejandro Pazos
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruna, 15071, Spain
- Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruna (CHUAC), A Coruna, 15006, Spain
- Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC), Campus de Elviña s/n, A Coruna, 15071, Spain
| | - Yunierkis Pérez-Castillo
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador
- Escuela de Ciencias Físicas y Matemáticas, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador
| | - Eduardo Tejera
- Grupo de Bio-Quimioinformática, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador.
- Facultad de Ingeniería y Ciencias Agropecuarias, Universidad de Las Américas, Avenue de los Granados, Quito, 170125, Ecuador.
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17
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Shu X, Long J, Cai Q, Kweon SS, Choi JY, Kubo M, Park SK, Bolla MK, Dennis J, Wang Q, Yang Y, Shi J, Guo X, Li B, Tao R, Aronson KJ, Chan KYK, Chan TL, Gao YT, Hartman M, Kee Ho W, Ito H, Iwasaki M, Iwata H, John EM, Kasuga Y, Soon Khoo U, Kim MK, Kong SY, Kurian AW, Kwong A, Lee ES, Li J, Lophatananon A, Low SK, Mariapun S, Matsuda K, Matsuo K, Muir K, Noh DY, Park B, Park MH, Shen CY, Shin MH, Spinelli JJ, Takahashi A, Tseng C, Tsugane S, Wu AH, Xiang YB, Yamaji T, Zheng Y, Milne RL, Dunning AM, Pharoah PDP, García-Closas M, Teo SH, Shu XO, Kang D, Easton DF, Simard J, Zheng W. Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants. Nat Commun 2020; 11:1217. [PMID: 32139696 PMCID: PMC7057957 DOI: 10.1038/s41467-020-15046-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 02/10/2020] [Indexed: 02/08/2023] Open
Abstract
Known risk variants explain only a small proportion of breast cancer heritability, particularly in Asian women. To search for additional genetic susceptibility loci for breast cancer, here we perform a meta-analysis of data from genome-wide association studies (GWAS) conducted in Asians (24,206 cases and 24,775 controls) and European descendants (122,977 cases and 105,974 controls). We identified 31 potential novel loci with the lead variant showing an association with breast cancer risk at P < 5 × 10-8. The associations for 10 of these loci were replicated in an independent sample of 16,787 cases and 16,680 controls of Asian women (P < 0.05). In addition, we replicated the associations for 78 of the 166 known risk variants at P < 0.05 in Asians. These findings improve our understanding of breast cancer genetics and etiology and extend previous findings from studies of European descendants to Asian women.
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Affiliation(s)
- Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Sue K Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Yaohua Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jiajun Shi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bingshan Li
- Department of Molecular Physiology & Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kristan J Aronson
- Department of Public Health Sciences and Queen's Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Kelvin Y K Chan
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
- Department of Obstetrics & Gynaecology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR, China
- Department of Molecular Pathology, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mikael Hartman
- Department of Surgery, National University Hospital, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Weang Kee Ho
- Department of Applied Mathematics, Faculty of Engineering, University of Nottingham Malaysia Campus, Semenyih, Selangor, Malaysia
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center, Nagoya, Aichi, Japan
| | - Esther M John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, CA, USA
- Departments of Health Research and Policy, School of Medicine, Stanford University, California, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, California, CA, USA
| | - Yoshio Kasuga
- Department of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan
| | - Ui Soon Khoo
- Department of Pathology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - Mi-Kyung Kim
- Division of Cancer Epidemiology and Management, National Cancer Center, Goyang, Korea
| | - Sun-Young Kong
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Republic of Korea
- Hospital, National Cancer Center, Goyang, Republic of Korea
- Research Institute, National Cancer Center, Goyang, Republic of Korea
| | - Allison W Kurian
- Departments of Health Research and Policy, School of Medicine, Stanford University, California, CA, USA
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR, China
- Department of Surgery, University of Hong Kong, Hong Kong SAR, China
- Department of Surgery, Hong Kong Sanatorium & Hospital, Hong Kong SAR, China
| | - Eun-Sook Lee
- National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Republic of Korea
- Hospital, National Cancer Center, Goyang, Republic of Korea
- Research Institute, National Cancer Center, Goyang, Republic of Korea
| | - Jingmei Li
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Siew-Kee Low
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Dong-Young Noh
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Boyoung Park
- Department of Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Min-Ho Park
- Department of Surgery, Chonnam National University Medical School, Seoul, Korea
| | - Chen-Yang Shen
- College of Public Health, China Medical University, Taichong, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - John J Spinelli
- Population Oncology, BC Cancer, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Atsushi Takahashi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpar, Malaysia
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Korea
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec - Université Laval, Research Center, Québec City, QC, Canada
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
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18
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Kapoor PM, Lindström S, Behrens S, Wang X, Michailidou K, Bolla MK, Wang Q, Dennis J, Dunning AM, Pharoah PDP, Schmidt MK, Kraft P, García-Closas M, Easton DF, Milne RL, Chang-Claude J. Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk, in the Breast Cancer Association Consortium. Int J Epidemiol 2020; 49:216-232. [PMID: 31605532 PMCID: PMC7426027 DOI: 10.1093/ije/dyz193] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Previous gene-environment interaction studies of breast cancer risk have provided sparse evidence of interactions. Using the largest available dataset to date, we performed a comprehensive assessment of potential effect modification of 205 common susceptibility variants by 13 established breast cancer risk factors, including replication of previously reported interactions. METHODS Analyses were performed using 28 176 cases and 32 209 controls genotyped with iCOGS array and 44 109 cases and 48 145 controls genotyped using OncoArray from the Breast Cancer Association Consortium (BCAC). Gene-environment interactions were assessed using unconditional logistic regression and likelihood ratio tests for breast cancer risk overall and by estrogen-receptor (ER) status. Bayesian false discovery probability was used to assess the noteworthiness of the meta-analysed array-specific interactions. RESULTS Noteworthy evidence of interaction at ≤1% prior probability was observed for three single nucleotide polymorphism (SNP)-risk factor pairs. SNP rs4442975 was associated with a greater reduction of risk of ER-positive breast cancer [odds ratio (OR)int = 0.85 (0.78-0.93), Pint = 2.8 x 10-4] and overall breast cancer [ORint = 0.85 (0.78-0.92), Pint = 7.4 x 10-5) in current users of estrogen-progesterone therapy compared with non-users. This finding was supported by replication using OncoArray data of the previously reported interaction between rs13387042 (r2 = 0.93 with rs4442975) and current estrogen-progesterone therapy for overall disease (Pint = 0.004). The two other interactions suggested stronger associations between SNP rs6596100 and ER-negative breast cancer with increasing parity and younger age at first birth. CONCLUSIONS Overall, our study does not suggest strong effect modification of common breast cancer susceptibility variants by established risk factors.
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Affiliation(s)
- Pooja Middha Kapoor
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xiaoliang Wang
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Electron Microscopy/Molecular Pathology and Cyprus School of Molecular Medicine, Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, Monash University, Clayton, VIC, Australia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), Hamburg, Germany
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19
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Guo X, Long J, Chen Z, Shu XO, Xiang YB, Wen W, Zeng C, Gao YT, Cai Q, Zheng W. Discovery of rare coding variants in OGDHL and BRCA2 in relation to breast cancer risk in Chinese women. Int J Cancer 2019; 146:2175-2181. [PMID: 31837001 DOI: 10.1002/ijc.32825] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Accepted: 11/27/2019] [Indexed: 12/26/2022]
Abstract
The missing heritability of breast cancer could be partially attributed to rare variants (MAF < 0.5%). To identify breast cancer-associated rare coding variants, we conducted whole-exome sequencing (~50×) in genomic DNA samples obtained from 831 breast cancer cases and 839 controls of Chinese females. Using burden tests for each gene that included rare missense or predicted deleterious variants, we identified 29 genes showing promising associations with breast cancer risk. We replicated the association for two genes, OGDHL and BRCA2, at a Bonferroni-corrected p < 0.05, by genotyping an independent set of samples from 1,628 breast cancer cases and 1,943 controls. The association for OGDHL was primarily driven by three predicted deleterious variants (p.Val827Met, p.Pro839Leu, p.Phe836Ser; p < 0.01 for all). For BRCA2, we characterized a total of 27 disruptive variants, including 18 nonsense, six frameshift and three splicing variants, whereas they were only detected in cases, but none of the controls. All of these variants were either very rare (AF < 0.1%) or not detected in >4,500 East Asian women from the genome Aggregation database (gnomAD), providing additional support to our findings. Our study revealed a potential novel gene and multiple disruptive variants of BRCA2 for breast cancer risk, which may identify high-risk women in Chinese populations.
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Affiliation(s)
- Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Chenjie Zeng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
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Identification of two novel breast cancer loci through large-scale genome-wide association study in the Japanese population. Sci Rep 2019; 9:17332. [PMID: 31757997 PMCID: PMC6874604 DOI: 10.1038/s41598-019-53654-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 10/26/2019] [Indexed: 12/21/2022] Open
Abstract
Genome-wide association studies (GWAS) have successfully identified about 70 genomic loci associated with breast cancer. Owing to the complexity of linkage disequilibrium and environmental exposures in different populations, it is essential to perform regional GWAS for better risk prediction. This study aimed to investigate the genetic architecture and to assess common genetic risk model of breast cancer with 6,669 breast cancer patients and 21,930 female controls in the Japanese population. This GWAS identified 11 genomic loci that surpass genome-wide significance threshold of P < 5.0 × 10−8 with nine previously reported loci and two novel loci that include rs9862599 on 3q13.11 (ALCAM) and rs75286142 on 21q22.12 (CLIC6-RUNX1). Validation study was carried out with 981 breast cancer cases and 1,394 controls from the Aichi Cancer Center. Pathway analyses of GWAS signals identified association of dopamine receptor medicated signaling and protein amino acid deacetylation with breast cancer. Weighted genetic risk score showed that individuals who were categorized in the highest risk group are approximately 3.7 times more likely to develop breast cancer compared to individuals in the lowest risk group. This well-powered GWAS is a representative study to identify SNPs that are associated with breast cancer in the Japanese population.
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21
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Li Y, Giorgi EE, Beckman KB, Caberto C, Kazma R, Lum-Jones A, Haiman CA, Marchand LL, Stram DO, Saxena R, Cheng I. Association between mitochondrial genetic variation and breast cancer risk: The Multiethnic Cohort. PLoS One 2019; 14:e0222284. [PMID: 31577800 PMCID: PMC6774509 DOI: 10.1371/journal.pone.0222284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 08/26/2019] [Indexed: 01/17/2023] Open
Abstract
Background The mitochondrial genome encodes for thirty-seven proteins, among them thirteen are essential for the oxidative phosphorylation (OXPHOS) system. Inherited variation in mitochondrial genes may influence cancer development through changes in mitochondrial proteins, altering the OXPHOS process and promoting the production of reactive oxidative species. Methods To investigate the association between mitochondrial genetic variation and breast cancer risk, we tested 314 mitochondrial SNPs (mtSNPs), capturing four complexes of the mitochondrial OXPHOS pathway and mtSNP groupings for rRNA and tRNA, in 2,723 breast cancer cases and 3,260 controls from the Multiethnic Cohort Study. Results We examined the collective set of 314 mtSNPs as well as subsets of mtSNPs grouped by mitochondrial OXPHOS pathway, complexes, and genes, using the sequence kernel association test and adjusting for age, sex, and principal components of global ancestry. We also tested haplogroup associations using unconditional logistic regression and adjusting for the same covariates. Stratified analyses were conducted by self-reported maternal race/ethnicity. No significant mitochondrial OXPHOS pathway, gene, and haplogroup associations were observed in African Americans, Asian Americans, Latinos, and Native Hawaiians. In European Americans, a global test of all genetic variants of the mitochondrial genome identified an association with breast cancer risk (P = 0.017, q = 0.102). In mtSNP-subset analysis, the gene MT-CO2 (P = 0.001, q = 0.09) in Complex IV (cytochrome c oxidase) and MT-ND2 (P = 0.004, q = 0.19) in Complex I (NADH dehydrogenase (ubiquinone)) were significantly associated with breast cancer risk. Conclusions In summary, our findings suggest that collective mitochondrial genetic variation and particularly in the MT-CO2 and MT-ND2 may play a role in breast cancer risk among European Americans. Further replication is warranted in larger populations and future studies should evaluate the contribution of mitochondrial proteins encoded by both the nuclear and mitochondrial genomes to breast cancer risk.
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Affiliation(s)
- Yuqing Li
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, California, United States of America
| | - Elena E. Giorgi
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Kenneth B. Beckman
- University of Minnesota Genomics Center, Minneapolis, Minnesota, United States of America
| | - Christian Caberto
- Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Remi Kazma
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, Switzerland
| | - Annette Lum-Jones
- Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Daniel O. Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Richa Saxena
- Center for Human Genetic Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Program of Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, Massachusetts, United States of America
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, California, United States of America
- * E-mail:
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22
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Associations between TAB2 Gene Polymorphisms and Epithelial Ovarian Cancer in a Chinese Population. DISEASE MARKERS 2019; 2019:8012979. [PMID: 31485280 PMCID: PMC6710735 DOI: 10.1155/2019/8012979] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 07/03/2019] [Accepted: 07/17/2019] [Indexed: 02/05/2023]
Abstract
Background Epithelial ovarian cancer (EOC) is highly lethal worldwide. Factors involved in the inflammation and hormone-associated signaling pathway play vital roles in EOC carcinogenesis. The transforming growth factor-β- (TGF-β-) activated kinase 1 (MAP3K7) binding protein 2 (TAB2), mediating convergence of inflammatory and estrogen, may be implicated in EOC. The present study is aimed at exploring the association between the TAB2 gene polymorphisms and EOC. Methods Three single nucleotide polymorphisms (SNPs) (rs237028, rs521845, and rs652921) of TAB2 were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in 221 patients and 252 healthy controls. Associations between SNPs and clinical characteristics were performed either with the χ 2 test or with Fisher's exact test. The Kaplan-Meier method and Cox proportional hazard models were used to detect associations between genotypes and overall survival. Results The rs237028 polymorphism was significantly associated with an increased risk of EOC with an allelic genetic model (A vs. G; OR = 1.45; 95%CI = 1.07-1.96; P = 0.016), dominant genetic model (AA vs. AG-GG; OR = 1.66; CI 1.14-2.41; P = 0.008), and overdominant genetic model (AA-GG vs. AG; OR = 1.60; CI 1.08-2.36; P = 0.017). However, no significant association was observed between rs237028 polymorphism and overall survival. Conclusions Our study indicated that the rs237028 polymorphism in the TAB2 gene was associated with EOC susceptibility and the TAB2 gene might contribute to the initiation of EOC.
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Gebreslasie AT, Faggad A, Zaki HY, Abdalla BE. Association of ESR1 polymorphisms (rs3020314 and rs1514348) with breast cancer in Sudanese women. A pilot study. GENE REPORTS 2019. [DOI: 10.1016/j.genrep.2019.100396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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El Bouchtaoui M, Do Cruzeiro M, Leboeuf C, Loisel-Ferreira I, Fedronie C, Ferreira C, Ait El Far R, Ziol M, Espié M, Falgarone G, Cassinat B, Kiladjian JJ, Feugeas JP, Janin A, Bousquet G. A Constitutional Activating MET Mutation Makes the Genetic Link between Malignancies and Chronic Inflammatory Diseases. Clin Cancer Res 2019; 25:4504-4515. [DOI: 10.1158/1078-0432.ccr-18-3261] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 02/16/2019] [Accepted: 04/15/2019] [Indexed: 11/16/2022]
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25
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Lima ZS, Ghadamzadeh M, Arashloo FT, Amjad G, Ebadi MR, Younesi L. Recent advances of therapeutic targets based on the molecular signature in breast cancer: genetic mutations and implications for current treatment paradigms. J Hematol Oncol 2019; 12:38. [PMID: 30975222 PMCID: PMC6460547 DOI: 10.1186/s13045-019-0725-6] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
Breast cancer is the most common malignancy in women all over the world. Genetic background of women contributes to her risk of having breast cancer. Certain inherited DNA mutations can dramatically increase the risk of developing certain cancers and are responsible for many of the cancers that run in some families. Regarding the widespread multigene panels, whole exome sequencing is capable of providing the evaluation of genetic function mutations for development novel strategy in clinical trials. Targeting the mutant proteins involved in breast cancer can be an effective therapeutic approach for developing novel drugs. This systematic review discusses gene mutations linked to breast cancer, focusing on signaling pathways that are being targeted with investigational therapeutic strategies, where clinical trials could be potentially initiated in the future are being highlighted.
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Affiliation(s)
- Zeinab Safarpour Lima
- Shahid Akbar Abadi Clinical Research Development Unit (ShCRDU), Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mostafa Ghadamzadeh
- Departement of Radiology, Hasheminejad Kidney Centre (HKC), Iran University of Medical Sciences, Tehran, Iran
| | | | - Ghazaleh Amjad
- Shahid Akbar Abadi Clinical Research Development Unit (ShCRDU), Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Mohammad Reza Ebadi
- Shohadaye Haft-e-tir Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Ladan Younesi
- Shahid Akbar Abadi Clinical Research Development Unit (ShCRDU), Iran University of Medical Sciences (IUMS), Tehran, Iran
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26
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Zavala VA, Serrano-Gomez SJ, Dutil J, Fejerman L. Genetic Epidemiology of Breast Cancer in Latin America. Genes (Basel) 2019; 10:E153. [PMID: 30781715 PMCID: PMC6410045 DOI: 10.3390/genes10020153] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 12/20/2022] Open
Abstract
The last 10 years witnessed an acceleration of our understanding of what genetic factors underpin the risk of breast cancer. Rare high- and moderate-penetrance variants such as those in the BRCA genes account for a small proportion of the familial risk of breast cancer. Low-penetrance alleles are expected to underlie the remaining heritability. By now, there are about 180 genetic polymorphisms that are associated with risk, most of them of modest effect. In combination, they can be used to identify women at the lowest or highest ends of the risk spectrum, which might lead to more efficient cancer prevention strategies. Most of these variants were discovered in populations of European descent. As a result, we might be failing to discover additional polymorphisms that could explain risk in other groups. This review highlights breast cancer genetic epidemiology studies conducted in Latin America, and summarizes the information that they provide, with special attention to similarities and differences with studies in other populations. It includes studies of common variants, as well as moderate- and high-penetrance variants. In addition, it addresses the gaps that need to be bridged in order to better understand breast cancer genetic risk in Latin America.
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Affiliation(s)
- Valentina A Zavala
- Department of Medicine, Division of General Internal Medicine, University of California San Francisco, San Francisco, CA 94143-1793, USA.
| | - Silvia J Serrano-Gomez
- Grupo de investigación en biología del cáncer, Instituto Nacional de Cancerología, Bogotá 11001000, Colombia.
| | - Julie Dutil
- Cancer Biology Division, Ponce Research Institute, Ponce Health Sciences University, Ponce, PR 00732, USA.
| | - Laura Fejerman
- Department of Medicine, Division of General Internal Medicine, University of California San Francisco, San Francisco, CA 94143-1793, USA.
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27
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Wendt C, Margolin S. Identifying breast cancer susceptibility genes - a review of the genetic background in familial breast cancer. Acta Oncol 2019; 58:135-146. [PMID: 30606073 DOI: 10.1080/0284186x.2018.1529428] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Heritage is the most important risk factor for breast cancer. About 15-20% of breast cancer is familial, referring to affected women who have one or more first- or second-degree relatives with the disease. The heritable component in these families is substantial, especially in families with aggregation of breast cancer with low age at onset. Identifying breast cancer susceptibility genes: Since the discovery of the highly penetrant autosomal dominant susceptibility genes BRCA1 and BRCA2 in the 1990s, several more breast cancer genes that confer a moderate to high risk of breast cancer have been identified. Furthermore, during the last decade, advances in genomic technologies have led to large scale genotyping in genome-wide association studies that have identified a considerable amount of common low penetrance loci. In total, the high risk genes, BRCA1, BRCA2, TP53, STK11, CD1 and PTEN account for approximately 20% of the familial risk. Moderate risk variants account for up to 5% of the inherited familial risk. The more than 180 identified low-risk loci explain 18% of the familial risk. Altogether more than half of the genetic background in familial breast cancer remains unclear. Other genes and low risk loci that explain a part the remaining fraction will probably be identified. Clinical aspects and future perspectives: Definitive clinical recommendations can be drawn only for carriers of germline variants in a limited number of high and moderate risk genes for which an association with breast cancer has been established. Future progress in evaluating previously identified breast cancer candidate variants and low risk loci as well as exploring new ones can play an important role in improving individual risk prediction in familial breast cancer.
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Affiliation(s)
- Camilla Wendt
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
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Identification of novel common breast cancer risk variants at the 6q25 locus among Latinas. Breast Cancer Res 2019; 21:3. [PMID: 30642363 PMCID: PMC6332913 DOI: 10.1186/s13058-018-1085-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 12/04/2018] [Indexed: 12/26/2022] Open
Abstract
Background Breast cancer is a partially heritable trait and genome-wide association studies (GWAS) have identified over 180 common genetic variants associated with breast cancer. We have previously performed breast cancer GWAS in Latinas and identified a strongly protective single nucleotide polymorphism (SNP) at 6q25, with the protective minor allele originating from indigenous American ancestry. Here we report on fine mapping of the 6q25 locus in an expanded sample of Latinas. Methods We performed GWAS in 2385 cases and 6416 controls who were either US Latinas or Mexican women. We replicated the top SNPs in 2412 cases and 1620 controls of US Latina, Mexican, and Colombian women. In addition, we validated the top novel variants in studies of African, Asian and European ancestry. In each dataset we used logistic regression models to test the association between SNPs and breast cancer risk and corrected for genetic ancestry using either principal components or genetic ancestry inferred from ancestry informative markers using a model-based approach. Results We identified a novel set of SNPs at the 6q25 locus associated with genome-wide levels of significance (p = 3.3 × 10− 8 - 6.0 × 10− 9) not in linkage disequilibrium (LD) with variants previously reported at this locus. These SNPs were in high LD (r2 > 0.9) with each other, with the top SNP, rs3778609, associated with breast cancer with an odds ratio (OR) and 95% confidence interval (95% CI) of 0.76 (0.70–0.84). In a replication in women of Latin American origin, we also observed a consistent effect (OR 0.88; 95% CI 0.78–0.99; p = 0.037). We also performed a meta-analysis of these SNPs in East Asians, African ancestry and European ancestry populations and also observed a consistent effect (rs3778609, OR 0.95; 95% CI 0.91–0.97; p = 0.0017). Conclusion Our study adds to evidence about the importance of the 6q25 locus for breast cancer susceptibility. Our finding also highlights the utility of performing additional searches for genetic variants for breast cancer in non-European populations. Electronic supplementary material The online version of this article (10.1186/s13058-018-1085-9) contains supplementary material, which is available to authorized users.
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29
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Dai Z, Tian T, Wang M, Yang T, Li H, Lin S, Hao Q, Xu P, Deng Y, Zhou L, Li N, Diao Y. Genetic polymorphisms of estrogen receptor genes are associated with breast cancer susceptibility in Chinese women. Cancer Cell Int 2019; 19:11. [PMID: 30636932 PMCID: PMC6325673 DOI: 10.1186/s12935-019-0727-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 01/02/2019] [Indexed: 12/21/2022] Open
Abstract
Background Estrogen exposure is a widely known risk factor for BC. And the interaction of estrogen with estrogen receptor (ER) plays an important role in breast cancer development. This case-control study aims to assess the association of genetic polymorphisms in the estrogen receptor genes with breast cancer (BC) susceptibility in Chinese Han women. Methods Four polymorphisms (rs2881766, rs9383951, rs9340799 in ESR1 and rs3020449 in ESR2) were genotyped in 459 patients and 549 healthy controls using the Sequenom MassARRAY method. Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated to evaluate the associations. False-positive report probability (FPRP) was utilized to examine the noteworthiness of significant findings. Results We observed that rs2881766 was associated with a decreased BC risk (GG vs. TT: OR = 0.63, 95% CI = 0.44-0.91; GG vs. TT/GT: OR = 0.68, 95% CI = 0.49-0.95), while rs3020449 was associated with an increased risk of BC (CT vs. TT: OR = 1.58, 95% CI = 1.21-2.06; CT/CC vs. TT: OR = 1.54, 95% CI = 1.20-1.98; TT/CC vs. CT: OR = 1.48, 95% CI = 1.15-1.90). The other two polymorphisms have no relation with BC susceptibility. In addition, rs2881766 was correlated with lymph node metastasis and ER expression, and rs3020449 was related to tumor size, histological grade and ER expression. The values of false-positive report probability indicated that the significant associations of BC risk with both rs2881766 and rs3020449 were noteworthy. Conclusions Our study suggests that polymorphisms rs2881766 and rs3020449 in estrogen receptor genes were associated with BC susceptibility as well as clinical features in Chinese women. These findings need further validation in a large population.
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Affiliation(s)
- Zhijun Dai
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Tian Tian
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Meng Wang
- 2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Tielin Yang
- 3School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049 China
| | - Hongtao Li
- 4Department of Breast Head and Neck Surgery, The 3rd Affiliated Teaching Hospital of Xinjiang Medical University (Affiliated Tumor Hospital), Urumqi, 830000 China
| | - Shuai Lin
- 2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Qian Hao
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Peng Xu
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China
| | - Yujiao Deng
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Linghui Zhou
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Na Li
- 1Department of Breast Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 510623 Guangdong China.,2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
| | - Yan Diao
- 2Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004 China
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Torres D, Lorenzo Bermejo J, Garcia Mesa K, Gilbert M, Briceño I, Pohl-Zeidler S, González Silos R, Boekstegers F, Plass C, Hamann U. Interaction between genetic ancestry and common breast cancer susceptibility variants in Colombian women. Int J Cancer 2019; 144:2181-2191. [PMID: 30485434 DOI: 10.1002/ijc.32023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 11/05/2018] [Indexed: 01/31/2023]
Abstract
Latino women show lower incidences of breast cancer (BC) than non-Hispanic whites. Large-scale genetic association studies have identified variants robustly associated with BC risk in European women. We examine here the relevance of these variants to Colombian BC and possible interactions with genetic ancestry. Native American, European and African proportions were estimated for 1022 Colombian BC cases and 1023 controls. Logistic regression was applied to assess the association between 78 variants and BC risk and interactions between the variants and ancestry proportions. We constructed a multifactorial risk score combining established BC risk factors, associated risk variants and individual ancestry proportions. Each 1% increase in the Native American proportion translated into a 2.2% lower BC risk (95% CI: 1.4-2.9). Thirteen variants were associated with BC in Colombian women, with allele frequencies and risk effects partially different from European women. Ancestry proportions moderated the risk effects of two variants. The ability of Native American proportions to separate Colombian cases and controls (area-under-the-curve (AUC) = 0.61) was similar to the discriminative ability of family history of BC in first-degree female relatives (AUC = 0.58) or the combined effect of all 13 associated risk variants (AUC = 0.57). Our findings demonstrate ample potential for individualized BC prevention in Hispanic women taking advantage of individual Native American proportions, information on established susceptibility factors and recently identified common risk variants.
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Affiliation(s)
- Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Justo Lorenzo Bermejo
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Karen Garcia Mesa
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Michael Gilbert
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ignacio Briceño
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia.,Universidad de la Sabana, Bogota, Colombia
| | - Svenja Pohl-Zeidler
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rosa González Silos
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Felix Boekstegers
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Christoph Plass
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Hao W, Xu X, Shi H, Zhang C, Chen X. No association of TP53 codon 72 and intron 3 16-bp duplication polymorphisms with breast cancer risk in Chinese Han women: new evidence from a population-based case-control investigation. Eur J Med Res 2018; 23:47. [PMID: 30309383 PMCID: PMC6180397 DOI: 10.1186/s40001-018-0345-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 09/25/2018] [Indexed: 11/21/2022] Open
Abstract
Background Many studies have demonstrated that the genetic variants of tumor suppressor gene TP53 contribute to the prediction of breast cancer risk. However, most of them focused on Europeans and Americans; the investigations about Asians, especially Chinese women, are scarce. Thus, the aim of this study was to explore the influence of TP53 codon 72 and intron 3 16-bp duplication polymorphisms on the breast cancer risk in Chinese women, especially those from eastern China. Methods Blood samples collected from 254 breast cancer patients and 252 healthy female individuals were investigated. Genotypes of the two polymorphisms were determined by direct sequencing and conventional PCR, respectively. Results Heterozygous Arg/Pro and homozygous Del/Del were the most frequent genotypes of the two polymorphisms, respectively. Heterozygous Arg/Pro had a higher prevalence in breast cancer cases (Padj = 0.10; ORadj = 1.43, 95% CI 0.93–2.18), and no homozygous 16-bp duplication (Ins/Ins) genotype was found in the whole 506 clinical samples. For the distributions of allele and haplotype frequencies, no statistically significant difference was observed between the two groups when multiple (additive, dominant and recessive) genetic models were utilized in the analysis (Padj > 0.05). Conclusion The results suggested that the two TP53 polymorphisms did not affect breast cancer risk in Chinese Han women, but the heterozygous Arg/Pro may exist as the possible risk genotype of the codon 72 polymorphism in contrast to the homozygous Arg/Arg and Pro/Pro. Electronic supplementary material The online version of this article (10.1186/s40001-018-0345-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Weiming Hao
- Institute of Life Sciences, Jiangsu University, Zhenjiang, China.,Pathogen Diagnostic Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Xia Xu
- Department of Chemotherapy, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, Nanjing, 210009, Jiangsu, People's Republic of China
| | - Haifeng Shi
- Institute of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Chiyu Zhang
- Pathogen Diagnostic Center, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Xiaoxiang Chen
- Department of Gynecologic Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer Hospital, 42# Baiziting Street, Nanjing, 210009, Jiangsu, People's Republic of China.
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Holy P, Kloudova A, Soucek P. Importance of genetic background of oxysterol signaling in cancer. Biochimie 2018; 153:109-138. [DOI: 10.1016/j.biochi.2018.04.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 04/27/2018] [Indexed: 12/14/2022]
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Rivandi M, Martens JWM, Hollestelle A. Elucidating the Underlying Functional Mechanisms of Breast Cancer Susceptibility Through Post-GWAS Analyses. Front Genet 2018; 9:280. [PMID: 30116257 PMCID: PMC6082943 DOI: 10.3389/fgene.2018.00280] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 07/09/2018] [Indexed: 12/12/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified more than 170 single nucleotide polymorphisms (SNPs) associated with the susceptibility to breast cancer. Together, these SNPs explain 18% of the familial relative risk, which is estimated to be nearly half of the total familial breast cancer risk that is collectively explained by low-risk susceptibility alleles. An important aspect of this success has been the access to large sample sizes through collaborative efforts within the Breast Cancer Association Consortium (BCAC), but also collaborations between cancer association consortia. Despite these achievements, however, understanding of each variant's underlying mechanism and how these SNPs predispose women to breast cancer remains limited and represents a major challenge in the field, particularly since the vast majority of the GWAS-identified SNPs are located in non-coding regions of the genome and are merely tags for the causal variants. In recent years, fine-scale mapping studies followed by functional evaluation of putative causal variants have begun to elucidate the biological function of several GWAS-identified variants. In this review, we discuss the findings and lessons learned from these post-GWAS analyses of 22 risk loci. Identifying the true causal variants underlying breast cancer susceptibility and their function not only provides better estimates of the explained familial relative risk thereby improving polygenetic risk scores (PRSs), it also increases our understanding of the biological mechanisms responsible for causing susceptibility to breast cancer. This will facilitate the identification of further breast cancer risk alleles and the development of preventive medicine for those women at increased risk for developing the disease.
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Affiliation(s)
- Mahdi Rivandi
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands.,Department of Modern Sciences and Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - John W M Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands.,Cancer Genomics Centre, Utrecht, Netherlands
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Hirata T, Koga K, Johnson TA, Morino R, Nakazono K, Kamitsuji S, Akita M, Kawajiri M, Kami A, Hoshi Y, Tada A, Ishikawa K, Hine M, Kobayashi M, Kurume N, Fujii T, Kamatani N, Osuga Y. Japanese GWAS identifies variants for bust-size, dysmenorrhea, and menstrual fever that are eQTLs for relevant protein-coding or long non-coding RNAs. Sci Rep 2018; 8:8502. [PMID: 29855537 PMCID: PMC5981393 DOI: 10.1038/s41598-018-25065-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 04/13/2018] [Indexed: 02/05/2023] Open
Abstract
Traits related to primary and secondary sexual characteristics greatly impact females during puberty and day-to-day adult life. Therefore, we performed a GWAS analysis of 11,348 Japanese female volunteers and 22 gynecology-related phenotypic variables, and identified significant associations for bust-size, menstrual pain (dysmenorrhea) severity, and menstrual fever. Bust-size analysis identified significant association signals in CCDC170-ESR1 (rs6557160; P = 1.7 × 10-16) and KCNU1-ZNF703 (rs146992477; P = 6.2 × 10-9) and found that one-third of known European-ancestry associations were also present in Japanese. eQTL data points to CCDC170 and ZNF703 as those signals' functional targets. For menstrual fever, we identified a novel association in OPRM1 (rs17181171; P = 2.0 × 10-8), for which top variants were eQTLs in multiple tissues. A known dysmenorrhea signal near NGF replicated in our data (rs12030576; P = 1.1 × 10-19) and was associated with RP4-663N10.1 expression, a putative lncRNA enhancer of NGF, while a novel dysmenorrhea signal in the IL1 locus (rs80111889; P = 1.9 × 10-16) contained SNPs previously associated with endometriosis, and GWAS SNPs were most significantly associated with IL1A expression. By combining regional imputation with colocalization analysis of GWAS/eQTL signals along with integrated annotation with epigenomic data, this study further refines the sets of candidate causal variants and target genes for these known and novel gynecology-related trait loci.
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Affiliation(s)
- Tetsuya Hirata
- Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kaori Koga
- Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | | | - Ryoko Morino
- EverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | | | | | | | | | - Azusa Kami
- EverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | - Yuria Hoshi
- Life Science Group, Healthcare Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | - Asami Tada
- EverGene Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | | | - Maaya Hine
- LunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | - Miki Kobayashi
- LunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | - Nami Kurume
- LunaLuna Division, Department of Healthcare Business, MTI Ltd., Shinjuku-ku, Tokyo, 163-1435, Japan
| | - Tomoyuki Fujii
- Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | | | - Yutaka Osuga
- Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8655, Japan.
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35
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Flister MJ, Bergom C. Genetic Modifiers of the Breast Tumor Microenvironment. Trends Cancer 2018; 4:429-444. [PMID: 29860987 DOI: 10.1016/j.trecan.2018.04.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 04/13/2018] [Accepted: 04/16/2018] [Indexed: 02/06/2023]
Abstract
Multiple nonmalignant cell types in the tumor microenvironment (TME) impact breast cancer risk, metastasis, and response to therapy, yet most heritable mechanisms that influence TME cell function and breast cancer outcomes are largely unknown. Breast cancer risk is ∼30% heritable and >170 genetic loci have been associated with breast cancer traits. However, the majority of candidate genes have poorly defined mechanistic roles in breast cancer biology. Research indicates that breast cancer risk modifiers directly impact cancer cells, yet it is equally plausible that some modifier alleles impact the nonmalignant TME. The objective of this review is to examine the list of current breast cancer candidate genes that may modify breast cancer risk and outcome through the TME.
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Affiliation(s)
- Michael J Flister
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Carmen Bergom
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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A Comprehensive cis-eQTL Analysis Revealed Target Genes in Breast Cancer Susceptibility Loci Identified in Genome-wide Association Studies. Am J Hum Genet 2018; 102:890-903. [PMID: 29727689 DOI: 10.1016/j.ajhg.2018.03.016] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 03/13/2018] [Indexed: 11/22/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified more than 150 common genetic loci for breast cancer risk. However, the target genes and underlying mechanisms remain largely unknown. We conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using normal or tumor breast transcriptome data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), The Cancer Genome Atlas (TCGA), and the Genotype-Tissue Expression (GTEx) project. We identified a total of 101 genes for 51 lead variants after combing the results of a meta-analysis of METABRIC and TCGA, and the results from GTEx at a Benjamini-Hochberg (BH)-adjusted p < 0.05. Using luciferase reporter assays in both estrogen-receptor positive (ER+) and negative (ER-) cell lines, we showed that alternative alleles of potential functional single-nucleotide polymorphisms (SNPs), rs11552449 (DCLRE1B), rs7257932 (SSBP4), rs3747479 (MRPS30), rs2236007 (PAX9), and rs73134739 (ATG10), could significantly change promoter activities of their target genes compared to reference alleles. Furthermore, we performed in vitro assays in breast cancer cell lines, and our results indicated that DCLRE1B, MRPS30, and ATG10 played a vital role in breast tumorigenesis via certain disruption of cell behaviors. Our findings revealed potential target genes for associations of genetic susceptibility risk loci and provided underlying mechanisms for a better understanding of the pathogenesis of breast cancer.
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37
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Wang T, Wang H, Yang S, Guo H, Zhang B, Guo H, Wang L, Zhu G, Zhang Y, Zhou H, Zhang X, Li H, Su H. Association of APEX1 and OGG1 gene polymorphisms with breast cancer risk among Han women in the Gansu Province of China. BMC MEDICAL GENETICS 2018; 19:67. [PMID: 29720094 PMCID: PMC5930440 DOI: 10.1186/s12881-018-0578-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 04/18/2018] [Indexed: 11/17/2022]
Abstract
Background Genetic variations in key DNA repair genes may influence DNA repair capacity, DNA damage and breast carcinogenesis. The current study aimed to estimate the association of APEX1 and OGG1 polymorphisms with the risk of breast cancer development. Methods A total of 518 patients with histopathologically confirmed breast cancer and 921 region- and age-matched cancer-free controls were genotyped for the APEX1 polymorphisms rs3136817 and rs1130409 and the OGG1 polymorphisms rs1052133 and rs2072668 using a QuantStudio™ 12 K Flex Real-Time PCR System. Results The rs3136817 heterozygous TC genotype along with the rs3136817 dominant model (TC + CC) was strongly associated with breast cancer susceptibility (odds ratio [OR] = 0.670, 95% confidence interval [95% CI]: 0.513 - 0.873, P = 0.003; OR = 0.682, 95% CI: 0.526 - 0.883, P = 0.004, respectively). No significant associations were observed among rs1130409, rs1052133, rs2072668 and breast cancer risk. Furthermore, an allele combination analysis revealed that APEX1 haplotypes containing C-T (alleles rs3136817 and rs1130409) conferred a significantly lower risk (corrected P < 0.001). Conclusion This research is the latest report showing that an APEX1 rs3136817 heterozygous genotype may have a positive influence on DNA repair capacity in patients with breast cancer and thus may have a potential protective effect for Chinese Han women. Electronic supplementary material The online version of this article (10.1186/s12881-018-0578-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tao Wang
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Haitao Wang
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Suisheng Yang
- Department of Breast Surgery, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, 730050, People's Republic of China
| | - Hongyun Guo
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Binming Zhang
- Department of Breast Surgery, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, 730050, People's Republic of China
| | - Huan Guo
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Lan Wang
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Gongjian Zhu
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Yongdong Zhang
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Haihong Zhou
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Xiuli Zhang
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Haining Li
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China
| | - Haixiang Su
- Research Center of Translational Medicine, Gansu Provincial Academic Institute for Medical Research, NO. 2 Xiaoxihu East Street, Lanzhou, Gansu, 730050, People's Republic of China.
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Reiner AS, Sisti J, John EM, Lynch CF, Brooks JD, Mellemkjær L, Boice JD, Knight JA, Concannon P, Capanu M, Tischkowitz M, Robson M, Liang X, Woods M, Conti DV, Duggan D, Shore R, Stram DO, Thomas DC, Malone KE, Bernstein L, Bernstein JL. Breast Cancer Family History and Contralateral Breast Cancer Risk in Young Women: An Update From the Women's Environmental Cancer and Radiation Epidemiology Study. J Clin Oncol 2018; 36:1513-1520. [PMID: 29620998 DOI: 10.1200/jco.2017.77.3424] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Purpose The Women's Environmental Cancer and Radiation Epidemiology (WECARE) study demonstrated the importance of breast cancer family history on contralateral breast cancer (CBC) risk, even for noncarriers of deleterious BRCA1/2 mutations. With the completion of WECARE II, updated risk estimates are reported. Additional analyses that exclude women negative for deleterious mutations in ATM, CHEK2*1100delC, and PALB2 were performed. Patients and Methods The WECARE Study is a population-based case-control study that compared 1,521 CBC cases with 2,212 individually matched unilateral breast cancer (UBC) controls. Participants were younger than age 55 years when diagnosed with a first invasive breast cancer between 1985 and 2008. Women were interviewed about breast cancer risk factors, including family history. A subset of women was screened for deleterious mutations in BRCA1/2, ATM, CHEK2*1100delC, and PALB2. Rate ratios (RRs) were estimated using multivariable conditional logistic regression. Cumulative absolute risks (ARs) were estimated by combining RRs from the WECARE Study and population-based SEER*Stat cancer incidence data. Results Women with any first-degree relative with breast cancer had a 10-year AR of 8.1% for CBC (95% CI, 6.7% to 9.8%). Risks also were increased if the relative was diagnosed at an age younger than 40 years (10-year AR, 13.5%; 95% CI, 8.8% to 20.8%) or with CBC (10-year AR, 14.1%; 95% CI, 9.5% to 20.7%). These risks are comparable with those seen in BRCA1/2 deleterious mutation carriers (10-year AR, 18.4%; 95% CI, 16.0% to 21.3%). In the subset of women who tested negative for deleterious mutations in BRCA1/2, ATM, CHEK2*1100delC, and PALB2, estimates were unchanged. Adjustment for known breast cancer single-nucleotide polymorphisms did not affect estimates. Conclusion Breast cancer family history confers a high CBC risk, even after excluding women with deleterious mutations. Clinicians are urged to use detailed family histories to guide treatment and future screening decisions for young women with breast cancer.
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Affiliation(s)
- Anne S Reiner
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Julia Sisti
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Esther M John
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Charles F Lynch
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jennifer D Brooks
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Lene Mellemkjær
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - John D Boice
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Julia A Knight
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Patrick Concannon
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Marinela Capanu
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Marc Tischkowitz
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Mark Robson
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Xiaolin Liang
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Meghan Woods
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - David V Conti
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - David Duggan
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Roy Shore
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Daniel O Stram
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Duncan C Thomas
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Kathleen E Malone
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Leslie Bernstein
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Jonine L Bernstein
- Anne S. Reiner, Julia Sisti, Marinela Capanu, Mark Robson, Xiaolin Liang, Meghan Woods, and Jonine L. Bernstein, Memorial Sloan Kettering Cancer Center; Mark Robson, Cornell University; Roy Shore, New York University School of Medicine, New York, NY; Esther M. John, Cancer Prevention Institute of California, Fremont, and Stanford School of Medicine, Stanford; David V. Conti, Daniel O. Stram, and Duncan C. Thomas, University of Southern California, Los Angeles; Leslie Bernstein, City of Hope National Medical Center, Duarte, CA; Charles F. Lynch, University of Iowa, Iowa City, IA; Jennifer D. Brooks and Julia A. Knight, University of Toronto; Julia A. Knight, Sinai Health System, Toronto, Ontario, Canada; Lene Mellemkjær, Danish Cancer Society Research Center, Copenhagen, Denmark; John D. Boice, Vanderbilt University Medical Center and the Vanderbilt-Ingram Cancer Center, Nashville, TN; Patrick Concannon, University of Florida, Gainesville, FL; Marc Tischkowitz, University of Cambridge, Cambridge, United Kingdom; David Duggan, Translational Genomics Research Institute, Phoenix, AZ; and Kathleen E. Malone, Fred Hutchinson Cancer Research Center, Seattle, WA
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Lilyquist J, Ruddy KJ, Vachon CM, Couch FJ. Common Genetic Variation and Breast Cancer Risk-Past, Present, and Future. Cancer Epidemiol Biomarkers Prev 2018; 27:380-394. [PMID: 29382703 PMCID: PMC5884707 DOI: 10.1158/1055-9965.epi-17-1144] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 01/05/2018] [Accepted: 01/11/2018] [Indexed: 11/16/2022] Open
Abstract
Breast cancer is the most common cancer among women in the United States, with up to 30% of those diagnosed displaying a family history of breast cancer. To date, 18% of the familial risk of breast cancer can be explained by SNPs. This review summarizes the discovery of risk-associated SNPs using candidate gene and genome-wide association studies (GWAS), including discovery and replication in large collaborative efforts such as The Collaborative Oncologic Gene-environment Study and OncoArray. We discuss the evolution of GWAS studies, efforts to discover additional SNPs, and methods for identifying causal variants. We summarize findings associated with overall breast cancer, pathologic subtypes, and mutation carriers (BRCA1, BRCA2, and CHEK2). In addition, we summarize the development of polygenic risk scores (PRS) using the risk-associated SNPs and show how PRS can contribute to estimation of individual risks for developing breast cancer. Cancer Epidemiol Biomarkers Prev; 27(4); 380-94. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | | | - Celine M Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Fergus J Couch
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
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Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese. Oncotarget 2018; 9:12796-12804. [PMID: 29560110 PMCID: PMC5849174 DOI: 10.18632/oncotarget.24374] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 01/25/2018] [Indexed: 11/25/2022] Open
Abstract
Genome-wide association studies (GWAS) have proven highly successful in identifying single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. The majority of these studies are on European populations, with limited SNP association data in other populations. We genotyped 51 GWAS-identified SNPs in two independent cohorts of Singaporean Chinese. Cohort 1 comprised 1294 BC cases and 885 controls and was used to determine odds ratios (ORs); Cohort 2 had 301 BC cases and 243 controls for deriving polygenic risk scores (PRS). After age-adjustment, 11 SNPs were found to be significantly associated with BC risk. Five SNPs were present in <1% of Cohort 1 and were excluded from further PRS analysis. To assess the cumulative effect of the remaining 46 SNPs on BC risk, we generated three PRS models: Model-1 included 46 SNPs; Model-2 included 11 statistically significant SNPs; and Model-3 included the SNPs in Model-2 but excluded SNPs that were in strong linkage disequilibrium with the others. Across Models-1, -2 and -3, women in the highest PRS quartile had the greatest ORs of 1.894 (95% CI = 1.157–3.100), 2.013 (95% CI = 1.227–3.302) and 1.751 (95% CI = 1.073–2.856) respectively, suggesting a direct correlation between PRS and BC risk. Given the potential of PRS in BC risk stratification, our findings suggest the need to tailor the selection of SNPs to be included in an ethnic-specific PRS model.
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Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M, Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K, Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Auber B, Auer PL, Ausems MGEM, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury AR, Brand JS, Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan SB, Chang-Claude J, Chanock SJ, Chen X, Cheng TYD, Chiquette J, Christiansen H, Claes KBM, Clarke CL, Conner T, Conroy DM, Cook J, Cordina-Duverger E, Cornelissen S, Coupier I, Cox A, Cox DG, Cross SS, Cuk K, Cunningham JM, Czene K, Daly MB, Damiola F, Darabi H, Davidson R, De Leeneer K, Devilee P, Dicks E, Diez O, Ding YC, Ditsch N, Doheny KF, Domchek SM, Dorfling CM, Dörk T, Dos-Santos-Silva I, Dubois S, Dugué PA, Dumont M, Dunning AM, Durcan L, Dwek M, Dworniczak B, Eccles D, Eeles R, Ehrencrona H, Eilber U, Ejlertsen B, Ekici AB, Eliassen AH, Engel C, Eriksson M, Fachal L, Faivre L, Fasching PA, Faust U, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Foulkes WD, Friedman E, Fritschi L, Frost D, Gabrielson M, Gaddam P, Gammon MD, Ganz PA, Gapstur SM, Garber J, Garcia-Barberan V, García-Sáenz JA, Gaudet MM, Gauthier-Villars M, Gehrig A, Georgoulias V, Gerdes AM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Goodfellow P, Greene MH, Alnæs GIG, Grip M, Gronwald J, Grundy A, Gschwantler-Kaulich D, Guénel P, Guo Q, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hallberg E, Hamann U, Hamel N, Hankinson S, Hansen TVO, Harrington P, Hart SN, Hartikainen JM, Healey CS, Hein A, Helbig S, Henderson A, Heyworth J, Hicks B, Hillemanns P, Hodgson S, Hogervorst FB, Hollestelle A, Hooning MJ, Hoover B, Hopper JL, Hu C, Huang G, Hulick PJ, Humphreys K, Hunter DJ, Imyanitov EN, Isaacs C, Iwasaki M, Izatt L, Jakubowska A, James P, Janavicius R, Janni W, Jensen UB, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kast K, Keeman R, Kerin MJ, Kets CM, Keupers M, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Konstantopoulou I, Kosma VM, Kristensen VN, Kruse TA, Kwong A, Lænkholm AV, Laitman Y, Lalloo F, Lambrechts D, Landsman K, Lasset C, Lazaro C, Le Marchand L, Lecarpentier J, Lee A, Lee E, Lee JW, Lee MH, Lejbkowicz F, Lesueur F, Li J, Lilyquist J, Lincoln A, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Loud JT, Lubinski J, Luccarini C, Lush M, MacInnis RJ, Maishman T, Makalic E, Kostovska IM, Malone KE, Manoukian S, Manson JE, Margolin S, Martens JWM, Martinez ME, Matsuo K, Mavroudis D, Mazoyer S, McLean C, Meijers-Heijboer H, Menéndez P, Meyer J, Miao H, Miller A, Miller N, Mitchell G, Montagna M, Muir K, Mulligan AM, Mulot C, Nadesan S, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Niederacher D, Nielsen SF, Nordestgaard BG, Norman A, Nussbaum RL, Olah E, Olopade OI, Olson JE, Olswold C, Ong KR, Oosterwijk JC, Orr N, Osorio A, Pankratz VS, Papi L, Park-Simon TW, Paulsson-Karlsson Y, Lloyd R, Pedersen IS, Peissel B, Peixoto A, Perez JIA, Peterlongo P, Peto J, Pfeiler G, Phelan CM, Pinchev M, Plaseska-Karanfilska D, Poppe B, Porteous ME, Prentice R, Presneau N, Prokofieva D, Pugh E, Pujana MA, Pylkäs K, Rack B, Radice P, Rahman N, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rennert HS, Rhenius V, Rhiem K, Richardson A, Rodriguez GC, Romero A, Romm J, Rookus MA, Rudolph A, Ruediger T, Saloustros E, Sanders J, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seal S, Senter L, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng X, Shimelis H, Shrubsole MJ, Shu XO, Side LE, Singer CF, Sohn C, Southey MC, Spinelli JJ, Spurdle AB, Stegmaier C, Stoppa-Lyonnet D, Sukiennicki G, Surowy H, Sutter C, Swerdlow A, Szabo CI, Tamimi RM, Tan YY, Taylor JA, Tejada MI, Tengström M, Teo SH, Terry MB, Tessier DC, Teulé A, Thöne K, Thull DL, Tibiletti MG, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Tranchant M, Truong T, Tucker K, Tung N, Tyrer J, Ulmer HU, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van Rensburg EJ, Varesco L, Varon-Mateeva R, Vega A, Viel A, Vijai J, Vincent D, Vollenweider J, Walker L, Wang Z, Wang-Gohrke S, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wesseling J, Whittemore AS, Wijnen JT, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yang XR, Yannoukakos D, Zaffaroni D, Zheng W, Zhu B, Ziogas A, Ziv E, Zorn KK, Gago-Dominguez M, Mannermaa A, Olsson H, Teixeira MR, Stone J, Offit K, Ottini L, Park SK, Thomassen M, Hall P, Meindl A, Schmutzler RK, Droit A, Bader GD, Pharoah PDP, Couch FJ, Easton DF, Kraft P, Chenevix-Trench G, García-Closas M, Schmidt MK, Antoniou AC, Simard J. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet 2017; 49:1767-1778. [PMID: 29058716 PMCID: PMC5808456 DOI: 10.1038/ng.3785] [Citation(s) in RCA: 247] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 01/11/2017] [Indexed: 12/14/2022]
Abstract
Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10-8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.
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Affiliation(s)
- Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Karoline B Kuchenbaecker
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Jonathan Beesley
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Siddhartha Kar
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Shirley Hui
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Audrey Lemaçon
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Hilary Finucane
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lesley McGuffog
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Cora M Aalfs
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, the Netherlands
| | - Marcia Adams
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Julian Adlard
- Yorkshire Regional Genetics Service, Chapel Allerton Hospital, Leeds, UK
| | - Simona Agata
- Immunology and Molecular Oncology Unit, Istituto Oncologico Veneto (IOV), IRCCS, Padua, Italy
| | - Shahana Ahmed
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Habibul Ahsan
- Center for Cancer Epidemiology and Prevention, University of Chicago, Chicago, Illinois, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Fares Al-Ejeh
- Personalised Medicine Team, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jamie Allen
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Christopher I Amos
- Center for Genomic Medicine, Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California, Irvine, Irvine, California, USA
| | - Natalia N Antonenkova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Norbert Arnold
- Institute of Clinical Molecular Biology / Department of Gynecology and Obstetrics, University Hospital of Schleswig-Holstein, Campus Kiel, Christian-Albrechts University Kiel, Kiel, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Bernd Auber
- Institute of Human Genetics, Hannover Medical School, Hannover, Germany
| | - Paul L Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - Margreet G E M Ausems
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jacopo Azzollini
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - François Bacot
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Judith Balmaña
- Department of Medical Oncology, University Hospital, Vall d'Hebron, Barcelona, Spain
| | - Monica Barile
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia, Milan, Italy
| | | | - Rosa B Barkardottir
- Laboratory of Cell Biology, Department of Pathology, Landspitali, Reykjavik, Iceland
- BMC (Biomedical Centre), Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Myrto Barrdahl
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel Barnes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Daniel Barrowdale
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matthias W Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Javier Benitez
- Human Genotyping Unit -Centro Nacional de Genotipado (CEGEN), Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Human Genetics Group, Human Cancer Genetics Programme, Spanish National Cancer Centre (CNIO), Madrid, Spain
- Spanish Network on Rare Diseases (CIBERER), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Scientific Center of the Russian Academy of Sciences, Ufa, Russian Federation
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Yves-Jean Bignon
- Université Clermont Auvergne, INSERM, U1240, Imagerie Moléculaire et Stratégies Théranostiques, Centre Jean Perrin, Clermont-Ferrand, France
| | | | - Marinus J Blok
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
- International Epidemiology Institute, Rockville, Maryland, USA
| | - Kristie Bobolis
- City of Hope Clinical Cancer Genomics Community Research Network, Duarte, California, USA
| | - Bram Boeckx
- Vesalius Research Center, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Natalia V Bogdanova
- N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Anders Bojesen
- Department of Clinical Genetics, Vejle Hospital, Vejle, Denmark
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia, Milan, Italy
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Aniko Bozsik
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Angela R Bradbury
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Judith S Brand
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | | | - Carole Brewer
- Department of Clinical Genetics, Royal Devon and Exeter Hospital, Exeter, UK
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Per Broberg
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Joan Brunet
- Genetic Counseling Unit, Hereditary Cancer Program, IDIBGI (Institut d'Investigació Biomèdica de Girona), Catalan Institute of Oncology, Girona, Spain
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Saundra S Buys
- Department of Medicine, Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Jinyoung Byun
- Center for Genomic Medicine, Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Trinidad Caldés
- Medical Oncology Department, CIBERONC, Hospital Clínico San Carlos, Madrid, Spain
| | - Maria A Caligo
- Section of Molecular Genetics, Department of Laboratory Medicine, University of Pisa and University Hospital of Pisa, Pisa, Italy
| | - Ian Campbell
- Research Department, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Olivier Caron
- Gustave Roussy, Biopathology Department, Villejuif, France
| | - Angel Carracedo
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servizo Galego de Saúde SERGAS, Santiago de Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER) and Centro Nacional de Genotipado (CEGEN-PRB2), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Brian D Carter
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - J Esteban Castelao
- Oncology and Genetics Unit, Instituto de Investigación Biomédica (IBI) de Orense-Pontevedra-Vigo, Xerencia de Xestión Integrada de Vigo, Servizo Galego de Saúde SERGAS, Vigo, Spain
| | | | - Virginie Caux-Moncoutier
- Service de Génétique Oncologique and INSERM U830, Institut Curie, Paris, France - Université Paris Descartes, Sorbonne Paris Cité
| | | | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Xiaoqing Chen
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ting-Yuan David Cheng
- Division of Cancer Prevention and Population Sciences, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Jocelyne Chiquette
- Unité de Recherche en Santé des Populations, Centre des Maladies du Sein Deschênes-Fabia, Hôpital du Saint-Sacrement, Québec City, Québec, Canada
| | - Hans Christiansen
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | | | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Thomas Conner
- Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jackie Cook
- Sheffield Clinical Genetics Service, Sheffield Children's Hospital, Sheffield, UK
| | - Emilie Cordina-Duverger
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Sten Cornelissen
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Isabelle Coupier
- Unité d'Oncogénétique, CHU Arnaud de Villeneuve, Montpellier, France
| | - Angela Cox
- Academic Unit of Molecular Oncology, Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - David G Cox
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- INSERM U1052, Cancer Research Center of Lyon, Lyon, France
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Katarina Cuk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | | | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Rosemarie Davidson
- Department of Clinical Genetics, South Glasgow University Hospitals, Glasgow, UK
| | - Kim De Leeneer
- Center for Medical Genetics, Ghent University, Ghent, Belgium
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - Ed Dicks
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Orland Diez
- Oncogenetics Group, Vall d'Hebron Institute of Oncology (VHIO), Clinical and Molecular Genetics Area, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Yuan Chun Ding
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Nina Ditsch
- Department of Gynecology and Obstetrics, Ludwig Maximilians University of Munich, Munich, Germany
| | - Kimberly F Doheny
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Susan M Domchek
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Cecilia M Dorfling
- Cancer Genetics Laboratory, Department of Genetics, University of Pretoria, Arcadia, South Africa
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Stéphane Dubois
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Pierre-Antoine Dugué
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Martine Dumont
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Lorraine Durcan
- Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Miriam Dwek
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Bernd Dworniczak
- Institute of Human Genetics, University of Münster, Münster, Germany
| | - Diana Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Ros Eeles
- Oncogenetics Team, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK
| | - Hans Ehrencrona
- Department of Clinical Genetics, Lund University Hospital, Lund, Sweden
| | - Ursula Eilber
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bent Ejlertsen
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE-Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Laurence Faivre
- Genetics Department, Dijon University Hospital, Dijon, France
- Oncogenetics, Centre Georges-François Leclerc, Dijon, France
| | - Peter A Fasching
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
- Division of Hematology and Oncology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Ulrike Faust
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Usher Institute of Population Health Sciences and Informatics, CRUK Edinburgh Centre, University of Edinburgh Medical School, Edinburgh, UK
| | - Dieter Flesch-Janys
- Institute for Medical Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Cancer Epidemiology, Clinical Cancer Registry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Olivia Fletcher
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - William D Foulkes
- Program in Cancer Genetics, Departments of Human Genetics and Oncology, McGill University, Montréal, Québec, Canada
| | - Eitan Friedman
- Susanne Levy Gertner Oncogenetics Unit, Institute of Human Genetics, Chaim Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Debra Frost
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Pragna Gaddam
- Clinical Cancer Genetics Laboratory, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Marilie D Gammon
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Patricia A Ganz
- Division of Cancer Prevention and Control Research, Jonsson Comprehensive Cancer Center, Schools of Medicine and Public Health, University of California, Los Angeles, Los Angeles, California, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Judy Garber
- Cancer Risk and Prevention Clinic, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | | | - José A García-Sáenz
- Medical Oncology Department, CIBERONC, Hospital Clínico San Carlos, Madrid, Spain
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Marion Gauthier-Villars
- Service de Génétique Oncologique and INSERM U830, Institut Curie, Paris, France - Université Paris Descartes, Sorbonne Paris Cité
| | - Andrea Gehrig
- Centre of Familial Breast and Ovarian Cancer, Department of Medical Genetics, Institute of Human Genetics, University Würzburg, Würzburg, Germany
| | | | - Anne-Marie Gerdes
- Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Gord Glendon
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Andrew K Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, Québec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, Québec, Canada
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Anna González-Neira
- Human Genotyping Unit -Centro Nacional de Genotipado (CEGEN), Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Paul Goodfellow
- Department of Obstetrics and Gynecology, Ohio State University James Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Grethe I Grenaker Alnæs
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Anne Grundy
- Centre de Recherche du Centre Hospitalier de Université de Montréal (CHUM), Montréal, Québec, Canada
| | - Daphne Gschwantler-Kaulich
- Department of Obstetrics and Gynaecology and Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - Pascal Guénel
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Qi Guo
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lothar Haeberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie Hamel
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Susan Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Amherst, Massachusetts, USA
| | - Thomas V O Hansen
- Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Patricia Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Jaana M Hartikainen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Catherine S Healey
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Alexander Hein
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Sonja Helbig
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Alex Henderson
- Institute of Genetic Medicine, Centre for Life, Newcastle-upon-Tyne Hospitals NHS Trust, Newcastle-upon-Tyne, UK
| | - Jane Heyworth
- School of Population Health, University of Western Australia, Perth, Western Australia, Australia
| | - Belynda Hicks
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Shirley Hodgson
- Medical Genetics Unit, St George's, University of London, London, UK
| | - Frans B Hogervorst
- Family Cancer Clinic, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Bob Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Chunling Hu
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Guanmengqian Huang
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter J Hulick
- Center for Medical Genetics, NorthShore University HealthSystem, Evanston, Illinois, USA
- Pritzker School of Medicine, University of Chicago, Evanston, Illinois, USA
| | - Keith Humphreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Claudine Isaacs
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Louise Izatt
- Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Paul James
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Ramunas Janavicius
- State Research Institute Centre for Innovative Medicine, Vilnius, Lithuania
| | - Wolfgang Janni
- Department of Gynaecology and Obstetrics, University of Ulm, Ulm, Germany
| | - Uffe Birk Jensen
- Department of Clinical Genetics, Aarhus University Hospital, Aarhus, Denmark
| | - Esther M John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, California, USA
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA
| | - Nichola Johnson
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Kristine Jones
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Michael Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Kabisch
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katarzyna Kaczmarek
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Karin Kast
- Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Renske Keeman
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Michael J Kerin
- School of Medicine, National University of Ireland, Galway, Ireland
| | - Carolien M Kets
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands
| | - Machteld Keupers
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Sofia Khan
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of the Russian Academy of Sciences, Ufa, Russian Federation
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - Johanna I Kiiski
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Sung-Won Kim
- Department of Obstetrics and Gynaecology and Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - Julia A Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Veli-Matti Kosma
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Vessela N Kristensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Torben A Kruse
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong
- Department of Surgery, University of Hong Kong, Hong Kong
- Department of Surgery, Hong Kong Sanatorium and Hospital, Hong Kong
| | - Anne-Vibeke Lænkholm
- Department of Pathology, University Hospital of Region Zealand, Division Slagelse, Slagelse, Denmark
| | - Yael Laitman
- Susanne Levy Gertner Oncogenetics Unit, Institute of Human Genetics, Chaim Sheba Medical Center, Ramat Gan, Israel
| | - Fiona Lalloo
- Genetic Medicine, Manchester Academic Health Sciences Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | | | - Christine Lasset
- Unité de Prévention et d'Epidémiologie Génétique, Centre Léon Bérard, Lyon, France
| | - Conxi Lazaro
- Molecular Diagnostic Unit, Hereditary Cancer Program, IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, Barcelona, Spain
| | | | - Julie Lecarpentier
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Andrew Lee
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Eunjung Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Jong Won Lee
- Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Republic of Korea
| | - Min Hyuk Lee
- Department of Surgery, Soonchunhyang University and Hospital, Seoul, Republic of Korea
| | | | - Fabienne Lesueur
- Institut Curie, Paris, France
- PSL Research University, Paris, France
- INSERM U900, Paris, France
- Mines Paris Tech, Fontainebleau, France
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, Arizona, USA
| | - Anne Lincoln
- Clinical Genetics Research Laboratory, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | | | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jennifer T Loud
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Michael Lush
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Tom Maishman
- Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Enes Makalic
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Ivana Maleva Kostovska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Macedonian Academy of Sciences and Arts, Skopje, Macedonia
| | - Kathleen E Malone
- Division of Public Health Sciences, Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sara Margolin
- Department of Oncology, Pathology, Karolinska Institutet, Stockholm, Sweden
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Maria Elena Martinez
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - Sylvie Mazoyer
- Lyon Neuroscience Research Center-CRNL, INSERM U1028, CNRS UMR 5292, University of Lyon, Lyon, France
| | - Catriona McLean
- Anatomical Pathology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Hanne Meijers-Heijboer
- Department of Clinical Genetics, Academic Medical Center, Amsterdam, the Netherlands
- Department of Clinical Genetics, VU University Medical Centre, Amsterdam, the Netherlands
| | | | - Jeffery Meyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Austin Miller
- NRG Oncology, Statistics and Data Management Center, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Nicola Miller
- School of Medicine, National University of Ireland, Galway, Ireland
| | - Gillian Mitchell
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Marco Montagna
- Immunology and Molecular Oncology Unit, Istituto Oncologico Veneto (IOV), IRCCS, Padua, Italy
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, UK
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Claire Mulot
- Université Paris Sorbonne Cité, INSERM UMRS 1147, Paris, France
| | - Sue Nadesan
- City of Hope Clinical Cancer Genomics Community Research Network, Duarte, California, USA
| | - Katherine L Nathanson
- Department of Medicine, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Ines Nevelsteen
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Dieter Niederacher
- Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sune F Nielsen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Aaron Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Robert L Nussbaum
- Department of Medicine, University of California, San Francisco,San Francisco, California, USA
| | - Edith Olah
- Department of Molecular Genetics, National Institute of Oncology, Budapest, Hungary
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, University of Chicago, Chicago, Illinois, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Kai-Ren Ong
- West Midlands Regional Genetics Service, Birmingham Women's Hospital Healthcare NHS Trust, Edgbaston, Birmingham, UK
| | - Jan C Oosterwijk
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Nick Orr
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Ana Osorio
- Human Genetics Group, Human Cancer Genetics Programme, Spanish National Cancer Centre (CNIO), Madrid, Spain
- Spanish Network on Rare Diseases (CIBERER), Madrid, Spain
| | - V Shane Pankratz
- University of New Mexico Health Sciences Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - Laura Papi
- Unit of Medical Genetics, Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Florence, Italy
| | | | | | - Rachel Lloyd
- Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Western Australia, Australia
| | - Inge Søkilde Pedersen
- Section of Molecular Diagnostics, Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
| | - Bernard Peissel
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Ana Peixoto
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
| | - Jose I A Perez
- Servicio de Cirugía General y Especialidades, Hospital Monte Naranco, Oviedo, Spain
| | - Paolo Peterlongo
- IFOM, FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Georg Pfeiler
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Catherine M Phelan
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Mila Pinchev
- Clalit National Cancer Control Center, Haifa, Israel
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Macedonian Academy of Sciences and Arts, Skopje, Macedonia
| | - Bruce Poppe
- Center for Medical Genetics, Ghent University, Ghent, Belgium
| | - Mary E Porteous
- South East of Scotland Regional Genetics Service, Western General Hospital, Edinburgh, UK
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Nadege Presneau
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Darya Prokofieva
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - Elizabeth Pugh
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Miquel Angel Pujana
- ProCURE, Catalan Institute of Oncology, IDIBELL (Bellvitge Biomedical Research Institute), Barcelona, Spain
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Brigitte Rack
- Department of Gynecology and Obstetrics, Ludwig Maximilians University of Munich, Munich, Germany
- Department of Gynaecology and Obstetrics, University of Ulm, Ulm, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Nazneen Rahman
- Section of Cancer Genetics, The Institute of Cancer Research, London, UK
| | - Johanna Rantala
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | | | - Gad Rennert
- Clalit National Cancer Control Center, Haifa, Israel
- Carmel Medical Center and B. Rappaport Faculty of Medicine-Technion, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Haifa, Israel
- Carmel Medical Center and B. Rappaport Faculty of Medicine-Technion, Haifa, Israel
| | - Valerie Rhenius
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Kerstin Rhiem
- Center for Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Andrea Richardson
- Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Gustavo C Rodriguez
- Division of Gynecologic Oncology, NorthShore University HealthSystem, University of Chicago, Evanston, Illinois, USA
| | - Atocha Romero
- Medical Oncology Department, CIBERONC, Hospital Clínico San Carlos, Madrid, Spain
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Jane Romm
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matti A Rookus
- Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Thomas Ruediger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | | | - Joyce Sanders
- Department of Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
| | | | - Elinor J Sawyer
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Daniel F Schmidt
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Peter Schürmann
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Lukas Schwentner
- Department of Gynaecology and Obstetrics, University of Ulm, Ulm, Germany
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Rodney J Scott
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, New South Wales, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, New South Wales, Australia
| | - Sheila Seal
- Section of Cancer Genetics, The Institute of Cancer Research, London, UK
| | - Leigha Senter
- Clinical Cancer Genetics Program, Division of Human Genetics, Department of Internal Medicine, Comprehensive Cancer Center, Ohio State University, Columbus, Ohio, USA
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Priyanka Sharma
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Xin Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Hermela Shimelis
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Lucy E Side
- North East Thames Regional Genetics Service, Great Ormond Street Hospital for Children NHS Trust, London, UK
| | - Christian F Singer
- Department of Obstetrics and Gynaecology and Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - Christof Sohn
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Melissa C Southey
- Department of Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Amanda B Spurdle
- Cancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | | | - Dominique Stoppa-Lyonnet
- Service de Génétique Oncologique and INSERM U830, Institut Curie, Paris, France - Université Paris Descartes, Sorbonne Paris Cité
| | - Grzegorz Sukiennicki
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Harald Surowy
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christian Sutter
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg, Germany
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Csilla I Szabo
- National Human Genome Research Institute, US National Institutes of Health, Bethesda, Maryland, USA
| | - Rulla M Tamimi
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yen Y Tan
- Department of Obstetrics and Gynaecology and Comprehensive Cancer Centre, Medical University of Vienna, Vienna, Austria
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Maria-Isabel Tejada
- Molecular Genetics Laboratory, Clinical Genetics Service, Cruces University Hospital and BioCruces Health Research Institute, Barakaldo, Spain
| | - Maria Tengström
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Soo H Teo
- Cancer Research Malaysia, Subang Jaya, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Mary B Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Daniel C Tessier
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Alex Teulé
- Genetic Counseling Unit, Hereditary Cancer Program, IDIBELL (Bellvitge Biomedical Research Institute), Catalan Institute of Oncology, Barcelona, Spain
| | - Kathrin Thöne
- Department of Cancer Epidemiology, Clinical Cancer Registry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Darcy L Thull
- Magee-Womens Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | | | | | - Marc Tischkowitz
- Program in Cancer Genetics, Departments of Human Genetics and Oncology, McGill University, Montréal, Québec, Canada
- Department of Medical Genetics, Addenbrooke's Treatment Centre, Addenbrooke's Hospital, Cambridge, UK
| | - Amanda E Toland
- Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, Ohio State University, Columbus, Ohio, USA
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Ling Tong
- Center for Cancer Epidemiology and Prevention, University of Chicago, Chicago, Illinois, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Martine Tranchant
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Thérèse Truong
- Cancer and Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Kathy Tucker
- Hereditary Cancer Clinic, Department of Medical Oncology, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Nadine Tung
- Department of Medical Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jonathan Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Elizabeth J van Rensburg
- Cancer Genetics Laboratory, Department of Genetics, University of Pretoria, Arcadia, South Africa
| | - Liliana Varesco
- Unit of Hereditary Cancer, Department of Epidemiology, Prevention and Special Functions, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico) AOU San Martino, IST Istituto Nazionale per la Ricerca sul Cancro, Genoa, Italy
| | | | - Ana Vega
- Fundación Pública Galega de Medicina Xenómica, Servizo Galego de Saúde SERGAS, Instituto de Investigaciones Sanitarias (IDIS), Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alessandra Viel
- Unit of Functional Onco-genomics and Genetics, CRO Aviano, National Cancer Institute, Aviano, Italy
| | - Joseph Vijai
- Clinical Genetics Research Laboratory, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Daniel Vincent
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Jason Vollenweider
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lisa Walker
- Oxford Regional Genetics Service, Churchill Hospital, Oxford, UK
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Shan Wang-Gohrke
- Department of Gynaecology and Obstetrics, University of Ulm, Ulm, Germany
| | - Barbara Wappenschmidt
- Center for Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, US National Institutes of Health, Research Triangle Park, North Carolina, USA
| | | | - Camilla Wendt
- Department of Oncology, Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Jelle Wesseling
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Department of Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Alice S Whittemore
- Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California, USA
- Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Juul T Wijnen
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Walter Willett
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, INRASTES, National Centre for Scientific Research 'Demokritos', Athens, Greece
| | - Daniela Zaffaroni
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California, Irvine, Irvine, California, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California, USA
| | | | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servizo Galego de Saúde SERGAS, Santiago de Compostela, Spain
- Moores Cancer Center, University of California, San Diego, La Jolla, California, USA
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Jennifer Stone
- Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Western Australia, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, Victoria, Australia
| | - Kenneth Offit
- Clinical Genetics Research Laboratory, Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Laura Ottini
- Department of Molecular Medicine, University La Sapienza, Rome, Italy
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Mads Thomassen
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, South General Hospital, Stockholm, Sweden
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - Rita K Schmutzler
- Center for Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Arnaud Droit
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
| | - Gary D Bader
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
- Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Québec, Canada
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Michailidou K, Lindström S, Dennis J, Beesley J, Hui S, Kar S, Lemaçon A, Soucy P, Glubb D, Rostamianfar A, Bolla MK, Wang Q, Tyrer J, Dicks E, Lee A, Wang Z, Allen J, Keeman R, Eilber U, French JD, Qing Chen X, Fachal L, McCue K, McCart Reed AE, Ghoussaini M, Carroll JS, Jiang X, Finucane H, Adams M, Adank MA, Ahsan H, Aittomäki K, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Arun B, Auer PL, Bacot F, Barrdahl M, Baynes C, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brand JS, Brauch H, Brennan P, Brenner H, Brinton L, Broberg P, Brock IW, Broeks A, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Butterbach K, Cai Q, Cai H, Caldés T, Canzian F, Carracedo A, Carter BD, Castelao JE, Chan TL, David Cheng TY, Seng Chia K, Choi JY, Christiansen H, Clarke CL, Collée M, Conroy DM, Cordina-Duverger E, Cornelissen S, Cox DG, Cox A, Cross SS, Cunningham JM, Czene K, Daly MB, Devilee P, Doheny KF, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Elvira M, Engel C, Eriksson M, Fasching PA, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Fritschi L, Gaborieau V, Gabrielson M, Gago-Dominguez M, Gao YT, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hamel N, Hankinson S, Harrington P, Hart SN, Hartikainen JM, Hartman M, Hein A, Heyworth J, Hicks B, Hillemanns P, Ho DN, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Hou MF, Hsiung CN, Huang G, Humphreys K, Ishiguro J, Ito H, Iwasaki M, Iwata H, Jakubowska A, Janni W, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kasuga Y, Kerin MJ, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Kosma VM, Kristensen VN, Krüger U, Kwong A, Lambrechts D, Le Marchand L, Lee E, Lee MH, Lee JW, Neng Lee C, Lejbkowicz F, Li J, Lilyquist J, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Lophatananon A, Lubinski J, Luccarini C, Lux MP, Ma ESK, MacInnis RJ, Maishman T, Makalic E, Malone KE, Kostovska IM, Mannermaa A, Manoukian S, Manson JE, Margolin S, Mariapun S, Martinez ME, Matsuo K, Mavroudis D, McKay J, McLean C, Meijers-Heijboer H, Meindl A, Menéndez P, Menon U, Meyer J, Miao H, Miller N, Taib NAM, Muir K, Mulligan AM, Mulot C, Neuhausen SL, Nevanlinna H, Neven P, Nielsen SF, Noh DY, Nordestgaard BG, Norman A, Olopade OI, Olson JE, Olsson H, Olswold C, Orr N, Pankratz VS, Park SK, Park-Simon TW, Lloyd R, Perez JIA, Peterlongo P, Peto J, Phillips KA, Pinchev M, Plaseska-Karanfilska D, Prentice R, Presneau N, Prokofyeva D, Pugh E, Pylkäs K, Rack B, Radice P, Rahman N, Rennert G, Rennert HS, Rhenius V, Romero A, Romm J, Ruddy KJ, Rüdiger T, Rudolph A, Ruebner M, Rutgers EJT, Saloustros E, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Scott RJ, Scott C, Seal S, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng G, Sherman ME, Shrubsole MJ, Shu XO, Smeets A, Sohn C, Southey MC, Spinelli JJ, Stegmaier C, Stewart-Brown S, Stone J, Stram DO, Surowy H, Swerdlow A, Tamimi R, Taylor JA, Tengström M, Teo SH, Beth Terry M, Tessier DC, Thanasitthichai S, Thöne K, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Truong T, Tseng CC, Tsugane S, Ulmer HU, Ursin G, Untch M, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van der Kolk L, van der Luijt RB, Vincent D, Vollenweider J, Waisfisz Q, Wang-Gohrke S, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yamaji T, Yang XR, Har Yip C, Yoo KY, Yu JC, Zheng W, Zheng Y, Zhu B, Ziogas A, Ziv E, Lakhani SR, Antoniou AC, Droit A, Andrulis IL, Amos CI, Couch FJ, Pharoah PDP, Chang-Claude J, Hall P, Hunter DJ, Milne RL, García-Closas M, Schmidt MK, Chanock SJ, Dunning AM, Edwards SL, Bader GD, Chenevix-Trench G, Simard J, Kraft P, Easton DF. Association analysis identifies 65 new breast cancer risk loci. Nature 2017; 551:92-94. [PMID: 29059683 PMCID: PMC5798588 DOI: 10.1038/nature24284] [Citation(s) in RCA: 861] [Impact Index Per Article: 123.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 09/17/2017] [Indexed: 12/19/2022]
Abstract
Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10-8. The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.
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Affiliation(s)
- Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Sara Lindström
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Shirley Hui
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Siddhartha Kar
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Audrey Lemaçon
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada
| | - Penny Soucy
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada
| | - Dylan Glubb
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Asha Rostamianfar
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jonathan Tyrer
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Ed Dicks
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Andrew Lee
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Zhaoming Wang
- Department of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Jamie Allen
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Ursula Eilber
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Juliet D French
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Xiao Qing Chen
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Laura Fachal
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Karen McCue
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Amy E McCart Reed
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
| | - Maya Ghoussaini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jason S Carroll
- Cancer Research UK Cambridge Research Institute, University of Cambridge, Li Ka Shing Centre, Cambridge, UK
| | - Xia Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Hilary Finucane
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Marcia Adams
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Muriel A Adank
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Habibul Ahsan
- Center for Cancer Epidemiology and Prevention, The University of Chicago, Chicago, Illinois, USA
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California, USA
| | - Natalia N Antonenkova
- N. N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, Ontario, Canada
| | - Banu Arun
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Paul L Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
| | - François Bacot
- McGill University and Génome Québec Innovation Centre, Montréal, Quebec, Canada
| | - Myrto Barrdahl
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Matthias W Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
| | - Leslie Bernstein
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Natalia V Bogdanova
- N. N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk, Belarus
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Stig E Bojesen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia, Milan, Italy
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Judith S Brand
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hiltrud Brauch
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Louise Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Per Broberg
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Ian W Brock
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Annegien Broeks
- Division of Molecular Pathology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Sara Y Brucker
- Department of Gynecology and Obstetrics, University of Tübingen, Tübingen, Germany
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum, Bochum, Germany
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Trinidad Caldés
- Medical Oncology Department, Hospital Clínico San Carlos, IdISSC (Centro Investigacion Biomedica en Red), CIBERONC (Instituto de Investigación Sanitaria San Carlos), Madrid, Spain
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angel Carracedo
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB2), Universidad de Santiago de Compostela, Santiago De Compostela, Spain
| | - Brian D Carter
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Jose E Castelao
- Oncology and Genetics Unit, Instituto de Investigacion Biomedica (IBI) Orense-Pontevedra-Vigo, Xerencia de Xestion Integrada de Vigo-SERGAS, Vigo, Spain
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Happy Valley, Hong Kong
- Department of Pathology, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong
| | - Ting-Yuan David Cheng
- Division of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Hans Christiansen
- Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Christine L Clarke
- Westmead Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Margriet Collée
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Don M Conroy
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Emilie Cordina-Duverger
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Sten Cornelissen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - David G Cox
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- INSERM U1052, Cancer Research Center of Lyon, Lyon, France
| | - Angela Cox
- Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mary B Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Kimberly F Doheny
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Isabel Dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Martine Dumont
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada
| | - Lorraine Durcan
- Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Miriam Dwek
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Diana M Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Carolina Ellberg
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
- Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Mingajeva Elvira
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE-Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter A Fasching
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California, USA
| | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK
| | - Dieter Flesch-Janys
- Institute for Medical Biometrics and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Cancer Epidemiology, Clinical Cancer Registry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Olivia Fletcher
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Henrik Flyger
- Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Australia
| | | | - Marike Gabrielson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, SERGAS, Santiago De Compostela, Spain
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - José A García-Sáenz
- Medical Oncology Department, Hospital Clínico San Carlos, IdISSC (Centro Investigacion Biomedica en Red), CIBERONC (Instituto de Investigación Sanitaria San Carlos), Madrid, Spain
| | - Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | | | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Gord Glendon
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Mark S Goldberg
- Department of Medicine, McGill University, Montréal, Quebec, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, Quebec, Canada
| | - David E Goldgar
- Department of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Anna González-Neira
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Grethe I Grenaker Alnæs
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Jacek Gronwald
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Anne Grundy
- Centre de Recherche du Centre Hospitalier de Université de Montréal (CHUM), Université de Montréal, Montréal, Quebec, Canada
| | - Pascal Guénel
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Lothar Haeberle
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Eric Hahnen
- Center for Hereditary Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nathalie Hamel
- McGill University and Génome Québec Innovation Centre, Montréal, Quebec, Canada
| | - Susan Hankinson
- Department of Biostatistics & Epidemiology, University of Massachusetts, Amherst, Amherst, Massachusetts, USA
| | - Patricia Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Jaana M Hartikainen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Surgery, National University Health System, Singapore, Singapore
| | - Alexander Hein
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Jane Heyworth
- School of Population Health, University of Western Australia, Perth, Australia
| | - Belynda Hicks
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Peter Hillemanns
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Dona N Ho
- Department of Pathology, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Ming-Feng Hou
- Division of Breast Surgery, Department of Surgery, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Ni Hsiung
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Guanmengqian Huang
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Keith Humphreys
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Junko Ishiguro
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hidemi Ito
- Division of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, University Hospital Ulm, Ulm, Germany
| | - Esther M John
- Department of Epidemiology, Cancer Prevention Institute of California, Fremont, California, USA
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Nichola Johnson
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Kristine Jones
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Michael Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Kabisch
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katarzyna Kaczmarek
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Daehee Kang
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yoshio Kasuga
- Department of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan
| | - Michael J Kerin
- School of Medicine, National University of Ireland, Galway, Ireland
| | - Sofia Khan
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Johanna I Kiiski
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary's Hospital, Seoul, South Korea
| | - Julia A Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Veli-Matti Kosma
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Vessela N Kristensen
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - Ute Krüger
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Happy Valley, Hong Kong
- Department of Surgery, The University of Hong Kong, Pok Fu Lam, Hong Kong
- Department of Surgery, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | | | - Eunjung Lee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Min Hyuk Lee
- Department of Surgery, Soonchunhyang University College of Medicine and Soonchunhyang University Hospital, Seoul, South Korea
| | - Jong Won Lee
- Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea
| | - Chuen Neng Lee
- Department of Surgery, National University Health System, Singapore, Singapore
- Department of Cardiac, Thoracic and Vascular Surgery, National University Health System, Singapore, Singapore
| | - Flavio Lejbkowicz
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jenna Lilyquist
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center & Institute of Oncology, Warsaw, Poland
| | - Wing-Yee Lo
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | | | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Michael P Lux
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Edmond S K Ma
- Hong Kong Hereditary Breast Cancer Family Registry, Happy Valley, Hong Kong
- Department of Pathology, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Tom Maishman
- Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Enes Makalic
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Kathleen E Malone
- Division of Public Health Sciences, Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ivana Maleva Kostovska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Siranoush Manoukian
- Unit of Medical Genetics, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sara Margolin
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | | | - Maria Elena Martinez
- Moores Cancer Center, University of California San Diego, La Jolla, California, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, California, USA
| | - Keitaro Matsuo
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Dimitrios Mavroudis
- Department of Medical Oncology, University Hospital of Heraklion, Heraklion, Greece
| | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Catriona McLean
- Anatomical Pathology, The Alfred Hospital, Melbourne, Australia
| | - Hanne Meijers-Heijboer
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | | | - Usha Menon
- Gynaecological Cancer Research Centre, Department of Women's Cancer, Institute for Women's Health, University College London, London, UK
| | - Jeffery Meyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hui Miao
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Nicola Miller
- School of Medicine, National University of Ireland, Galway, Ireland
| | - Nur Aishah Mohd Taib
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Anna Marie Mulligan
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Claire Mulot
- Université Paris Sorbonne Cité, INSERM UMR-S1147, Paris, France
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California, USA
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Patrick Neven
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Sune F Nielsen
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Dong-Young Noh
- Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Børge G Nordestgaard
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Aaron Norman
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, The University of Chicago, Chicago, Illinois, USA
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Nick Orr
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - V Shane Pankratz
- University of New Mexico Health Sciences Center, University of New Mexico, Albuquerque, New Mexico, USA
| | - Sue K Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | | | - Rachel Lloyd
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Australia
| | - Jose I A Perez
- Servicio de Cirugía General y Especialidades, Hospital Monte Naranco, Oviedo, Spain
| | - Paolo Peterlongo
- IFOM, The FIRC (Italian Foundation for Cancer Research) Institute of Molecular Oncology, Milan, Italy
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Kelly-Anne Phillips
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Peter MacCallum Cancer Center, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Australia
| | - Mila Pinchev
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Nadege Presneau
- Department of Biomedical Sciences, Faculty of Science and Technology, University of Westminster, London, UK
| | - Darya Prokofyeva
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Elizabeth Pugh
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Brigitte Rack
- Department of Gynecology and Obstetrics, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico) Istituto Nazionale dei Tumori (INT), Milan, Italy
| | - Nazneen Rahman
- Section of Cancer Genetics, The Institute of Cancer Research, London, UK
| | - Gadi Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Hedy S Rennert
- Clalit National Cancer Control Center, Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Valerie Rhenius
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Atocha Romero
- Medical Oncology Department, Hospital Clínico San Carlos, IdISSC (Centro Investigacion Biomedica en Red), CIBERONC (Instituto de Investigación Sanitaria San Carlos), Madrid, Spain
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Jane Romm
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kathryn J Ruddy
- Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas Rüdiger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Ruebner
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Emiel J T Rutgers
- Department of Surgery, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | | | - Elinor J Sawyer
- Research Oncology, Guy's Hospital, King's College London, London, UK
| | - Daniel F Schmidt
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Rita K Schmutzler
- Center for Hereditary Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology (CIO), University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Andreas Schneeweiss
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Fredrick Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio, USA
| | - Peter Schürmann
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Rodney J Scott
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, Newcastle, Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, Faculty of Health, University of Newcastle, Callaghan, Australia
| | - Christopher Scott
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Sheila Seal
- Section of Cancer Genetics, The Institute of Cancer Research, London, UK
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Priyanka Sharma
- Department of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Grace Sheng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Mark E Sherman
- Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland, USA
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ann Smeets
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Christof Sohn
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Sarah Stewart-Brown
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
| | - Jennifer Stone
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Curtin University and University of Western Australia, Perth, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne and the Royal Women's Hospital, Melbourne, Australia
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Harald Surowy
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, C080, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Rulla Tamimi
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Maria Tengström
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Soo H Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Daniel C Tessier
- McGill University and Génome Québec Innovation Centre, Montréal, Quebec, Canada
| | | | - Kathrin Thöne
- Department of Cancer Epidemiology, Clinical Cancer Registry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Ling Tong
- Center for Cancer Epidemiology and Prevention, The University of Chicago, Chicago, Illinois, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Thérèse Truong
- Cancer & Environment Group, Center for Research in Epidemiology and Population Health (CESP), INSERM, University Paris-Sud, University Paris-Saclay, Villejuif, France
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | | | - Giske Ursin
- Cancer Registry of Norway, Oslo, Norway
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Michael Untch
- Department of Gynecology and Obstetrics, Helios Clinics Berlin-Buch, Berlin, Germany
| | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - David Van Den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | | | - Lizet van der Kolk
- Family Cancer Clinic, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Rob B van der Luijt
- Division of Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Daniel Vincent
- McGill University and Génome Québec Innovation Centre, Montréal, Quebec, Canada
| | - Jason Vollenweider
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Quinten Waisfisz
- Department of Clinical Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Shan Wang-Gohrke
- Department of Gynaecology and Obstetrics, University of Ulm, Ulm, Germany
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, North Carolina, USA
| | - Camilla Wendt
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Alice S Whittemore
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, Stanford, California, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Hans Wildiers
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Walter Willett
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Lucy Xia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Cheng Har Yip
- Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | - Keun-Young Yoo
- Seoul National University College of Medicine, Seoul, South Korea
- Armed Forces Capital Hospital, Seongnam, South Korea
| | - Jyh-Cherng Yu
- Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Bin Zhu
- Cancer Genomics Research Laboratory (CGR), Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California Irvine, Irvine, California, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Sunil R Lakhani
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia
- Pathology Queensland, The Royal Brisbane and Women's Hospital, Brisbane 4029, Australia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Arnaud Droit
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada
| | - Irene L Andrulis
- Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Center for Genomic Medicine, Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Roger L Milne
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Stacey L Edwards
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Quebec, Canada
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
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Yuan J, Zhang N, Zhu H, Liu J, Xing H, Ma F, Yang M. CHST9 rs1436904 genetic variant contributes to prognosis of triple-negative breast cancer. Sci Rep 2017; 7:11802. [PMID: 28924212 PMCID: PMC5603563 DOI: 10.1038/s41598-017-12306-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 09/06/2017] [Indexed: 12/13/2022] Open
Abstract
Triple-negative breast cancer (TNBC) refers to one aggressive histological subtype of breast cancer with high heterogeneity and poor prognosis after standard therapy. Lack of clearly established molecular mechanism driving TNBC progression makes personalized therapy more difficult. Thus, identification of genetic variants associated with TNBC prognosis will show clinic significance for individualized treatments. Our study is aimed to evaluate the prognostic value of the genome wide association study (GWAS)-identified CHST9 rs1436904 and AQP4 rs527616 genetic variants in our established early-stage TNBC sample database. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). CHST9 rs1436904G allele was significantly associated with decreased disease-free survival time (DFS) (8.5 months shorter in GG genotype carriers compared to TT genotype carriers, HR = 1.70, 95% CI = 1.03–2.81, P = 0.038). Stratified analyses showed an increased risk of cancer progression in CHST9 rs1436904G allele carriers harboring larger tumor (tumor size > 2 cm), without lymph-node metastasis, being premenopausal at diagnosis or with vascular invasion (P = 0.032, 0.017, 0.008 or 0.003). Our findings demonstrate that the GWAS-identified 18q11.2 CHST9 rs1436904 polymorphism significantly contributes to prognosis of early-stage TNBC, suggesting its clinical potential in the screening of high-risk TNBC patients for recurrence and the possibility of patient-tailored therapeutic decisions.
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Affiliation(s)
- Jupeng Yuan
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Nasha Zhang
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China.,Department of Radiation Oncology, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Hui Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Jibing Liu
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Huaixin Xing
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China
| | - Fei Ma
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
| | - Ming Yang
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong Province, China.
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Shi M, Ma F, Liu J, Xing H, Zhu H, Yu J, Yang M. A functional BRCA1 coding sequence genetic variant contributes to prognosis of triple-negative breast cancer, especially after radiotherapy. Breast Cancer Res Treat 2017; 166:109-116. [PMID: 28744749 DOI: 10.1007/s10549-017-4395-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 07/08/2017] [Indexed: 01/14/2023]
Abstract
PURPOSE As a subtype of breast cancer, triple-negative breast cancer (TNBC) shows poor prognosis and high heterogeneity. Precise identification of TNBC subgroups relevant to clinical prognosis is crucial in the design and administration of individualized treatments. This study aimed to evaluate the prognostic value of the functional BRCA1 rs799917 genetic variant in TNBC. METHODS Associations between the rs799917 polymorphism and progression risk were investigated after genotyping 370 TNBC patients. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated by Cox regression. RESULTS: We found that the rs799917T allele was associated with a significantly increased risk of disease progression and shortened progression-free survival time (PFS) (P = 0.001 for log-rank test). Notably, TNBC patients with the rs799917 CC genotype showed about 22 months prolonged PFS compared to the TT genotype after radiotherapy (HR 4.44, 95% CI 1.98-9.93; P = 2.9 × 10-4). Additionally, in overweight patients, the mean PFS of the rs799917TT genotype was 10 months shorter than that of the CC genotype (HR 3.57, 95% CI 1.46-8.73, P = 0.005). CONCLUSIONS Our findings demonstrate that the functional BRCA1 genetic variant contributes to prognosis of TNBC. Our study also highlights the clinical potential of this polymorphism in the screening of high-risk TNBC patients for recurrence and the possibility of patient-tailored decisions especially during radiotherapy.
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Affiliation(s)
- Meng Shi
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China.,College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
| | - Fei Ma
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jibing Liu
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China
| | - Huaixin Xing
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China
| | - Hui Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China
| | - Jinming Yu
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China. .,Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China.
| | - Ming Yang
- Shandong Provincial Key Laboratory of Radiation Oncology, Cancer Research Center, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, China.
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Zhao LC, Shen BY, Deng XX, Chen H, Zhu ZG, Peng CH. TMEM45B promotes proliferation, invasion and migration and inhibits apoptosis in pancreatic cancer cells. MOLECULAR BIOSYSTEMS 2017; 12:1860-70. [PMID: 27108650 DOI: 10.1039/c6mb00203j] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
In the present study, we focused on the expression and biological functions of TMEM45B in pancreatic cancer tissues and cell lines. Real-time PCR and Western blotting were used to examine the expression levels of TMEM45B in pancreatic cancer tissues and cell lines. The functions of TMEM45B were evaluated using CCK-8, flow cytometry and transwell analysis. Our results showed that TMEM45B exhibited high expression in pancreatic cancer tissues and cell lines compared with the normal pancreatic tissues and cells. Using gene set enrichment analysis (GSEA), we found that TMEM45B may regulate multiple genes involved in the cell cycle and metastasis pathways. Downregulation of TMEM45B by RNA interference significantly reduced proliferation, invasion and migration of SW1990 and PANC-1 cells, accompanied by the induction of cell cycle arrest and apoptosis, whereas overexpression of TMEM45B promoted proliferation, invasion and migration of CFPAC-1 cells as well as apoptosis inhibition. Taken together, our study provides evidence that TMEM45B is an oncogene involved in the tumorigenesis of pancreatic cancer and may represent a new molecular target for pancreatic cancer treatment.
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Affiliation(s)
- Liang-Chao Zhao
- Department of General Surgery, Ruijin Hospital North Affiliated to Shanghai Jiaotong University School of Medicine, 999 Xiwang Road, Jiading District, Shanghai 201801, China
| | - Bai-Yong Shen
- Department of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 197 Ruijin 2 Road, Huangpu District, Shanghai 200025, China.
| | - Xia-Xing Deng
- Department of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 197 Ruijin 2 Road, Huangpu District, Shanghai 200025, China.
| | - Hao Chen
- Department of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 197 Ruijin 2 Road, Huangpu District, Shanghai 200025, China.
| | - Zheng-Gang Zhu
- Department of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 197 Ruijin 2 Road, Huangpu District, Shanghai 200025, China.
| | - Cheng-Hong Peng
- Department of General Surgery, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 197 Ruijin 2 Road, Huangpu District, Shanghai 200025, China.
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Park SL, Cheng I, Haiman CA. Genome-Wide Association Studies of Cancer in Diverse Populations. Cancer Epidemiol Biomarkers Prev 2017. [PMID: 28637795 DOI: 10.1158/1055-9965.epi-17-0169] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies (GWAS) of cancer have identified more than 700 risk loci, of which approximately 80% were first discovered in European ancestry populations, approximately 15% in East Asians, 3% in multiethnic scans, and less than 1% in African and Latin American populations. These percentages closely mirror the distribution of samples included in the discovery phase of cancer GWAS to date (84% European, 11% East Asian, 4% African, and 1% Latin American ancestry). GWAS in non-European ancestry populations have provided insight into ancestry-specific variation in cancer and have pointed to regions of susceptibility that are of particular importance in certain populations. Uncovering and characterizing cancer risk loci in diverse populations is critical for understanding underlying biological mechanisms and developing future genetic risk prediction models in non-European ancestry populations. New GWAS and continued collaborations will be required to eliminate population inequalities in the number of studies, sample sizes, and variant content on GWAS arrays, and to better align genetic research in cancer to the global distribution of race/ethnicity Cancer Epidemiol Biomarkers Prev; 27(4); 405-17. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Sungshim L Park
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California.,Stanford Cancer Institute, Palo Alto, California
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
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Onuki R, Yamaguchi R, Shibuya T, Kanehisa M, Goto S. Revealing phenotype-associated functional differences by genome-wide scan of ancient haplotype blocks. PLoS One 2017; 12:e0176530. [PMID: 28445522 PMCID: PMC5406033 DOI: 10.1371/journal.pone.0176530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 04/12/2017] [Indexed: 11/18/2022] Open
Abstract
Genome-wide scans for positive selection have become important for genomic medicine, and many studies aim to find genomic regions affected by positive selection that are associated with risk allele variations among populations. Most such studies are designed to detect recent positive selection. However, we hypothesize that ancient positive selection is also important for adaptation to pathogens, and has affected current immune-mediated common diseases. Based on this hypothesis, we developed a novel linkage disequilibrium-based pipeline, which aims to detect regions associated with ancient positive selection across populations from single nucleotide polymorphism (SNP) data. By applying this pipeline to the genotypes in the International HapMap project database, we show that genes in the detected regions are enriched in pathways related to the immune system and infectious diseases. The detected regions also contain SNPs reported to be associated with cancers and metabolic diseases, obesity-related traits, type 2 diabetes, and allergic sensitization. These SNPs were further mapped to biological pathways to determine the associations between phenotypes and molecular functions. Assessments of candidate regions to identify functions associated with variations in incidence rates of these diseases are needed in the future.
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Affiliation(s)
- Ritsuko Onuki
- Bioinformatics Team, Advanced Analysis Center, National Agriculture and Food Research Organization (NARO), 2-1-2 Kannondai, Tsukuba, Ibaraki, Japan
| | - Rui Yamaguchi
- Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Tetsuo Shibuya
- Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, Japan
| | - Minoru Kanehisa
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
| | - Susumu Goto
- Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, Japan
- * E-mail:
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48
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Feng Y, Rhie SK, Huo D, Ruiz-Narvaez EA, Haddad SA, Ambrosone CB, John EM, Bernstein L, Zheng W, Hu JJ, Ziegler RG, Nyante S, Bandera EV, Ingles SA, Press MF, Deming SL, Rodriguez-Gil JL, Zheng Y, Yao S, Han YJ, Ogundiran TO, Rebbeck TR, Adebamowo C, Ojengbede O, Falusi AG, Hennis A, Nemesure B, Ambs S, Blot W, Cai Q, Signorello L, Nathanson KL, Lunetta KL, Sucheston-Campbell LE, Bensen JT, Chanock SJ, Marchand LL, Olshan AF, Kolonel LN, Conti DV, Coetzee GA, Stram DO, Olopade OI, Palmer JR, Haiman CA. Characterizing Genetic Susceptibility to Breast Cancer in Women of African Ancestry. Cancer Epidemiol Biomarkers Prev 2017; 26:1016-1026. [PMID: 28377418 DOI: 10.1158/1055-9965.epi-16-0567] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 10/07/2016] [Accepted: 03/15/2017] [Indexed: 01/01/2023] Open
Abstract
Background: Genome-wide association studies have identified approximately 100 common genetic variants associated with breast cancer risk, the majority of which were discovered in women of European ancestry. Because of different patterns of linkage disequilibrium, many of these genetic markers may not represent signals in populations of African ancestry.Methods: We tested 74 breast cancer risk variants and conducted fine-mapping of these susceptibility regions in 6,522 breast cancer cases and 7,643 controls of African ancestry from three genetic consortia (AABC, AMBER, and ROOT).Results: Fifty-four of the 74 variants (73%) were found to have ORs that were directionally consistent with those previously reported, of which 12 were nominally statistically significant (P < 0.05). Through fine-mapping, in six regions (3p24, 12p11, 14q13, 16q12/FTO, 16q23, 19p13), we observed seven markers that better represent the underlying risk variant for overall breast cancer or breast cancer subtypes, whereas in another two regions (11q13, 16q12/TOX3), we identified suggestive evidence of signals that are independent of the reported index variant. Overlapping chromatin features and regulatory elements suggest that many of the risk alleles lie in regions with biological functionality.Conclusions: Through fine-mapping of known susceptibility regions, we have revealed alleles that better characterize breast cancer risk in women of African ancestry.Impact: The risk alleles identified represent genetic markers for modeling and stratifying breast cancer risk in women of African ancestry. Cancer Epidemiol Biomarkers Prev; 26(7); 1016-26. ©2017 AACR.
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Affiliation(s)
- Ye Feng
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
| | - Suhn Kyong Rhie
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | | | - Stephen A Haddad
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christine B Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, New York
| | - Esther M John
- Cancer Prevention Institute of California, Fremont, California.,Department of Health Research and Policy (Epidemiology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, California
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida
| | - Regina G Ziegler
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Sarah Nyante
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Elisa V Bandera
- Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Michael F Press
- Department of Pathology, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Sandra L Deming
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Jorge L Rodriguez-Gil
- Sylvester Comprehensive Cancer Center and Department of Epidemiology and Public Health, University of Miami Miller School of Medicine, Miami, Florida
| | - Yonglan Zheng
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Song Yao
- Roswell Park Cancer Institute, Buffalo, New York
| | - Yoo-Jeong Han
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Temidayo O Ogundiran
- Department of Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Timothy R Rebbeck
- Dana Farber Cancer Institute & Harvard T. H. Chan School of Public Health, Boston, Maryland
| | - Clement Adebamowo
- Department of Epidemiology & Preventive Medicine, University of Maryland, Baltimore, Maryland
| | - Oladosu Ojengbede
- Center for Population and Reproductive Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adeyinka G Falusi
- Institute for Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Anselm Hennis
- Chronic Disease Research Centre, Tropical Medicine Research Institute, University of the West Indies, Bridgetown, Barbados.,Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, New York
| | - Barbara Nemesure
- Department of Preventive Medicine, State University of New York at Stony Brook, Stony Brook, New York
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, Maryland
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, and Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Lisa Signorello
- Cancer Prevention Fellowship Program, National Cancer Institute, Bethesda, Maryland
| | | | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | | | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Stephen J Chanock
- Epidemiology and Biostatistics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Andrew F Olshan
- Department of Epidemiology, Gillings School of Global Public Health and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Laurence N Kolonel
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - David V Conti
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Gerhard A Coetzee
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Julie R Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
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Li J, Wang Y, Zhu Y, Gong Y, Yang Y, Tian J, Zhang Y, Zou D, Peng X, Ke J, Gong J, Zhong R, Chang J. Breast cancer risk-associated variants at 6q25.1 influence risk of hepatocellular carcinoma in a Chinese population. Carcinogenesis 2017; 38:447-454. [PMID: 28334234 DOI: 10.1093/carcin/bgx024] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 03/02/2017] [Indexed: 12/16/2022] Open
Abstract
The gender disparity observed in the incidence of hepatocellular carcinoma (HCC) suggests an important role of estrogens in HCC pathogenesis. In this study, we conducted a case-control study to investigate whether breast cancer risk-associated single nucleotide polymorphisms (SNPs) located at estrogens loci identified by genome-wide association studies (GWASs) also predispose to HCC in a Chinese population. Three candidate SNPs at 6q25.1 were genotyped in 2025 HCC cases and 2032 healthy controls. Differential expression analyses and expression quantitative trait loci (eQTL) analyses were conducted to further explore the potential function of significant SNPs and genes they reside in. Two of the three candidate SNPs (rs9383951 and rs9485372) were observed to be significantly associated with HCC risk. Under a dominant model, the odds ratios (OR) for rs9383951 and rs9485372 were 1.28 (95% CI: 1.10-1.49, P = 0.002) and 1.34 (95% CI: 1.17-1.53, P = 2.75 × 10-5), respectively. We also found a significant accumulative effect of these two SNPs and there was a gradual increase in OR with a greater number of hazard genotypes. Moreover, the association between rs9383951 and HCC risk was specific in males. Lower ESR1 and TAB2 expressions were investigated in hepatic tumor tissues than adjacent normal tissues. We found a significant association between rs9383951 and ESR1 expression (P = 0.047). Besides, ESR1 expression was significantly correlated with the expression of TAB2. Taken together, our study identified two genetic variants at 6q25.1 newly associated with HCC risk, suggesting ESR1 and estrogen signaling may play a role in mediating susceptibility to HCC in Chinese population.
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Affiliation(s)
- Jiaoyuan Li
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Ying Wang
- Department of Virology, Wuhan Centers for Disease Prevention and Control, Wuhan, Hubei, China
| | - Ying Zhu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Yajie Gong
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Yang Yang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Jianbo Tian
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Yi Zhang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Danyi Zou
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Xiating Peng
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Juntao Ke
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Jing Gong
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Rong Zhong
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China and
| | - Jiang Chang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Lynce F, Graves KD, Jandorf L, Ricker C, Castro E, Moreno L, Augusto B, Fejerman L, Vadaparampil ST. Genomic Disparities in Breast Cancer Among Latinas. Cancer Control 2017; 23:359-372. [PMID: 27842325 DOI: 10.1177/107327481602300407] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Breast cancer is the most common cancer diagnosed among Latinas in the United States and the leading cause of cancer-related death among this population. Latinas tend to be diagnosed at a later stage and have worse prognostic features than their non-Hispanic white counterparts. Genetic and genomic factors may contribute to observed breast cancer health disparities in Latinas. METHODS We provide a landscape of our current understanding and the existing gaps that need to be filled across the cancer prevention and control continuum. RESULTS We summarize available data on mutations in high and moderate penetrance genes for inherited risk of breast cancer and the associated literature on disparities in awareness of and uptake of genetic counseling and testing in Latina populations. We also discuss common genetic polymorphisms and risk of breast cancer in Latinas. In the treatment setting, we examine tumor genomics and pharmacogenomics in Latina patients with breast cancer. CONCLUSIONS As the US population continues to diversify, extending genetic and genomic research into this underserved and understudied population is critical. By understanding the risk of breast cancer among ethnically diverse populations, we will be better positioned to make treatment advancements for earlier stages of cancer, identify more effective and ideally less toxic treatment regimens, and increase rates of survival.
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Affiliation(s)
- Filipa Lynce
- Health Outcomes and Behavior Program, Moffitt Cancer Center, Tampa, FL, USA.
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