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Sun X, Verma SP, Jia G, Wang X, Ping J, Guo X, Shu XO, Chen J, Derkach A, Cai Q, Liang X, Long J, Offit K, Hun Oh J, Reiner AS, Watt GP, Woods M, Yang Y, Ambrosone CB, Ambs S, Chen Y, Concannon P, Garcia-Closas M, Gu J, Haiman CA, Hu JJ, Huo D, John EM, Knight JA, Li CI, Lynch CF, Mellemkjær L, Nathanson KL, Nemesure B, Olopade OI, Olshan AF, Pal T, Palmer JR, Press MF, Sanderson M, Sandler DP, Troester MA, Zheng W, Bernstein JL, Buas MF, Shu X. Case-Case Genome-Wide Analyses Identify Subtype-Informative Variants That Confer Risk for Breast Cancer. Cancer Res 2024; 84:2533-2548. [PMID: 38832928 PMCID: PMC11293972 DOI: 10.1158/0008-5472.can-23-3854] [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: 12/08/2023] [Revised: 03/15/2024] [Accepted: 05/31/2024] [Indexed: 06/06/2024]
Abstract
Breast cancer includes several subtypes with distinct characteristic biological, pathologic, and clinical features. Elucidating subtype-specific genetic etiology could provide insights into the heterogeneity of breast cancer to facilitate the development of improved prevention and treatment approaches. In this study, we conducted pairwise case-case comparisons among five breast cancer subtypes by applying a case-case genome-wide association study (CC-GWAS) approach to summary statistics data of the Breast Cancer Association Consortium. The approach identified 13 statistically significant loci and eight suggestive loci, the majority of which were identified from comparisons between triple-negative breast cancer (TNBC) and luminal A breast cancer. Associations of lead variants in 12 loci remained statistically significant after accounting for previously reported breast cancer susceptibility variants, among which, two were genome-wide significant. Fine mapping implicated putative functional/causal variants and risk genes at several loci, e.g., 3q26.31/TNFSF10, 8q22.3/NACAP1/GRHL2, and 8q23.3/LINC00536/TRPS1, for TNBC as compared with luminal cancer. Functional investigation further identified rs16867605 at 8q22.3 as a SNP that modulates the enhancer activity of GRHL2. Subtype-informative polygenic risk scores (PRS) were derived, and patients with a high subtype-informative PRS had an up to two-fold increased risk of being diagnosed with TNBC instead of luminal cancers. The CC-GWAS PRS remained statistically significant after adjusting for TNBC PRS derived from traditional case-control GWAS in The Cancer Genome Atlas and the African Ancestry Breast Cancer Genetic Consortium. The CC-GWAS PRS was also associated with overall survival and disease-specific survival among patients with breast cancer. Overall, these findings have advanced our understanding of the genetic etiology of breast cancer subtypes, particularly for TNBC. Significance: The discovery of subtype-informative genetic risk variants for breast cancer advances our understanding of the etiologic heterogeneity of breast cancer, which could accelerate the identification of targets and personalized strategies for prevention and treatment.
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Affiliation(s)
- Xiaohui Sun
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Epidemiology, Zhejiang Chinese Medical University, Zhejiang, China
| | - Shiv Prakash Verma
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xinjun Wang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jie Ping
- 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
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jianhong Chen
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Andriy Derkach
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anne S. Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gordon P. Watt
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Meghan Woods
- Department of Epidemiology and 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, Nashville, TN, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA, USA
| | - Christine B. Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yu Chen
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Patrick Concannon
- Genetics Institute and Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
| | - Montserrat Garcia-Closas
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jennifer J. Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Esther M. John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Julia A. Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I. Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Charles F. Lynch
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, USA
| | - Lene Mellemkjær
- Diet, Cancer and Health, Danish Cancer Institute, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Katherine L. Nathanson
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Barbara Nemesure
- Stony Brook Medicine, Department of Family, Population, and Preventive Medicine, Stony Brook, NY, USA
| | | | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tuya Pal
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Michael F. Press
- Department of Pathology, Keck School of Medicine, USC/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, TN, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Melissa A. Troester
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jonine L. Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew F. Buas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiang Shu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Tebeka S, Gloaguen E, Mullaert J, He Q, Boland A, Deleuze JF, Jamet C, Ramoz N, Dubertret C. Genome-wide association study of early-onset and late-onset postpartum depression: the IGEDEPP prospective study. Eur Psychiatry 2024; 67:1-36. [PMID: 38555957 PMCID: PMC11059250 DOI: 10.1192/j.eurpsy.2024.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 04/02/2024] Open
Abstract
Postpartum depression (PPD) appears at two peak periods: early-onset prior to 2 months after delivery and late-onset (2 months after delivery and beyond). The aim of our study is to evaluate the different genetic factors associated with early- and late-onset PPD. With the French multicenter interaction of gene and environment of depression during postpartum (IGEDEPP) cohort, we conducted a genome-wide association study (GWAS) on 234 women with early-onset PPD and 223 women with late-onset PPD, as well as 1,204 controls with no history of lifetime depression. We performed post-GWAS analyses: functional mapping and annotation of GWAS results using MAGMA thanks to Functional Mapping and Annotation of Genome-Wide Association Studies (FUMA), expression quantitative trait loci (QTL) analyses, mapping using data from the PsychENCODE and GTEx, and polygenic risk score (PRS) analysis based on published GWAS. We found two new significant candidate loci for early-onset PPD, rs6436132 in PTPRN gene on chromosome 2 and rs184644645 in RAD18 on chromosome 14, respectively, and one region of interest with five significant associated SNPs in chromosome 20 for late-onset PPD. Variant rs6436132 is the most significant associated with early-onset PPD, and it is a QTL that significantly modifies the expression and splicing of the PTPRN gene in different brain tissues. We also found an enrichment of uterus tissue in the early expression of PPD genes. PRS analysis showed a genetic overlap between both early and late-onset PPD and major depressive disorder, but only early-onset PPD overlaps with bipolar disorder. Our study presents two GWAS separately, highlighting two candidate loci for early-onset PPD and one different region of interest for late-onset PPD. These results have important consequences in our understanding of these disorders, especially since our data reinforce the hormonal pathophysiological hypotheses for early-onset PPD.
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Affiliation(s)
- Sarah Tebeka
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, team 1, 75014 Paris, France
- Department of Psychiatry, AP-HP, Louis Mourier Hospital, Colombes, France
| | - Emilie Gloaguen
- Department of Epidemiology, Biostatistics and Clinical Research, AP-HP, Hôpital Bichat, Paris, France
| | - Jimmy Mullaert
- Department of Epidemiology, Biostatistics and Clinical Research, AP-HP, Hôpital Bichat, Paris, France
- IAME, INSERM, Université Paris Cité, Paris, France
| | - Qin He
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, team 1, 75014 Paris, France
| | - Anne Boland
- CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, Evry, France
| | - Jean-Francois Deleuze
- CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, Evry, France
| | - Camille Jamet
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, team 1, 75014 Paris, France
- Department of Psychiatry, AP-HP, Louis Mourier Hospital, Colombes, France
| | - Nicolas Ramoz
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, team 1, 75014 Paris, France
| | - Caroline Dubertret
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, team 1, 75014 Paris, France
- Department of Psychiatry, AP-HP, Louis Mourier Hospital, Colombes, France
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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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Lacson JCA, Kim Y, Roetzheim RG, Sutton SK, Vadaparampil ST, Kanetsky PA. Predictors of genetic risk recall among the participants of a randomized controlled precision prevention trial against melanoma. Genet Med 2023; 25:100005. [PMID: 36629029 PMCID: PMC10085824 DOI: 10.1016/j.gim.2023.100005] [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: 07/08/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/09/2023] Open
Abstract
PURPOSE Inherited variation in MC1R imparts low to moderate risk of melanoma. Research on genetic risk recall, factors predicting recall, and whether recall influences adoption of preventive behaviors is limited. METHODS Participants (n = 447) enrolled in a melanoma precision prevention trial were provided with MC1R risk information (average or higher) and after 6 and 12 months, were asked to recall their genetic risk. Predictors of recall were identified using backward stepwise selection. Intervention effects were reassessed after stratifying by recall. RESULTS Participants at higher risk were 2 to 3 times more likely to misremember or not recall than participants with average risk. Misremembering was almost exclusively observed among participants at higher risk. Among the participants with average risk, lower health numeracy and not completing the telephone follow-up were associated with not recalling or misremembering. Among the participants at higher risk, lower education was associated with not recalling and lower perceived comparative chance of developing melanoma was associated with misremembering. In general, participants at higher risk who correctly recalled had modestly stronger intervention effects on sun protection behaviors than those who misremembered or did not recall. CONCLUSION Future studies should examine different strategies to increase genetic risk recall, which may result in improved behavioral outcomes, especially among participants with lower education and health numeracy.
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Affiliation(s)
- John Charles A Lacson
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Youngchul Kim
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Richard G Roetzheim
- Department of Family Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Steven K Sutton
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Susan T Vadaparampil
- Department of Health Outcomes and Behavior, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Peter A Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
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Lacson JCA, Doyle SH, Del Rio J, Forgas SM, Carvajal R, Gonzalez-Calderon G, Ramírez Feliciano A, Kim Y, Roetzheim RG, Sutton SK, Vadaparampil ST, Soto-Torres B, Kanetsky PA. A randomized clinical trial of precision prevention materials incorporating MC1R genetic risk to improve skin cancer prevention activities among Hispanics. CANCER RESEARCH COMMUNICATIONS 2022; 2:28-38. [PMID: 35845857 PMCID: PMC9286490 DOI: 10.1158/2767-9764.crc-21-0114] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose Skin cancer incidence is increasing among Hispanics, who experience worse outcomes than non-Hispanic Whites. Precision prevention incorporating genetic testing for MC1R, a skin cancer susceptibility marker, may improve prevention behavior. Patients and Methods Hispanic participants (n=920) from Tampa, FL and Ponce, PR, were block-randomized within MC1R higher- and average-risk groups to precision prevention or generic prevention arms. We collected baseline information on demographics, family history of cancer, phenotypic characteristics, health literacy, health numeracy, and psychosocial measures. Participants reported weekday and weekend sun exposure (in hours), number of sunburns, frequency of five sun protection behaviors, intentional outdoor and indoor tanning, and skin examinations at baseline, three months, and nine months. Participants also reported these outcomes for their eldest child ≤10 years old. Results Among MC1R higher-risk participants, precision prevention increased sunscreen use (OR=1.74, p=0.03) and receipt of a clinical skin exam (OR=6.51, p=0.0006); and it decreased weekday sun exposure hours (β=-0.94, p=0.005) and improved sun protection behaviors (β=0.93, p=0.02) in their children. There were no significant intervention effects among MC1R average risk participants. The intervention did not elevate participant cancer worry. We also identified moderators of the intervention effect among both average- and higher-risk participants. Conclusions Receipt of MC1R precision prevention materials improved some skin cancer prevention behaviors among higher-risk participants and their children and did not result in reduced prevention activities among average-risk participants. Despite these encouraging findings, levels of sun protection behaviors remained suboptimal among participants, warranting more awareness and prevention campaigns targeted to Hispanics.
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Affiliation(s)
- John Charles A. Lacson
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Scarlet H. Doyle
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Jocelyn Del Rio
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Stephanie M. Forgas
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Rodrigo Carvajal
- Biostatistics and Bioinformatics Shared Resources, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Guillermo Gonzalez-Calderon
- Biostatistics and Bioinformatics Shared Resources, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | | | - Youngchul Kim
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Richard G. Roetzheim
- Department of Family Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | - Steven K. Sutton
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Susan T. Vadaparampil
- Department of Health and Behavioral Outcomes, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Brenda Soto-Torres
- Public Health Program, Ponce Health Sciences University, Ponce, Puerto Rico
| | - Peter A. Kanetsky
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida.,Corresponding Author: Peter A. Kanetsky, Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, MRC-CANCONT, Tampa, FL 33612-9416. Phone: 813-745-2299; E-mail:
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6
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Ahearn TU, Zhang H, Michailidou K, Milne RL, Bolla MK, Dennis J, Dunning AM, Lush M, Wang Q, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baten A, Becher H, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Clarke CL, Collée JM, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Evans DG, Fasching PA, Figueroa J, Floris G, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haiman CA, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Jakimovska M, Jakubowska A, John EM, Jones ME, Jung A, Kaaks R, Kauppila S, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Koutros S, Kristensen VN, Krüger U, Kubelka-Sabit K, Kurian AW, Kyriacou K, Lambrechts D, Lee DG, Lindblom A, Linet M, Lissowska J, Llaneza A, Lo WY, MacInnis RJ, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, McLean C, Meindl A, Menon U, Nevanlinna H, Newman WG, Nodora J, Offit K, Olsson H, Orr N, Park-Simon TW, Patel AV, Peto J, Pita G, Plaseska-Karanfilska D, Prentice R, Punie K, Pylkäs K, Radice P, Rennert G, Romero A, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Schmutzler RK, Schoemaker MJ, Schöttker B, Sherman ME, Shu XO, Smichkoska S, Southey MC, Spinelli JJ, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Teras LR, Terry MB, Torres D, Troester MA, Vachon CM, van Deurzen CHM, van Veen EM, Wagner P, Weinberg CR, Wendt C, Wesseling J, Winqvist R, Wolk A, Yang XR, Zheng W, Couch FJ, Simard J, Kraft P, Easton DF, Pharoah PDP, Schmidt MK, García-Closas M, Chatterjee N. Common variants in breast cancer risk loci predispose to distinct tumor subtypes. Breast Cancer Res 2022; 24:2. [PMID: 34983606 PMCID: PMC8725568 DOI: 10.1186/s13058-021-01484-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 11/02/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
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Affiliation(s)
- Thomas U Ahearn
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Haoyu Zhang
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kyriaki Michailidou
- Institute of Neurology & Genetics, Biostatistics Unit, Nicosia, Cyprus
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Cyprus School of Molecular Medicine, Institute of Neurology & Genetics, Nicosia, Cyprus
| | - 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
| | - 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
| | - Alison M Dunning
- 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
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - 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 Medicine, 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
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, Kingston, ON, Canada
| | - Paul L Auer
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Annelie Augustinsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Adinda Baten
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Heiko Becher
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Sabine Behrens
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Javier Benitez
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
- Biomedical Network On Rare Diseases (CIBERER), Madrid, Spain
| | - Marina Bermisheva
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Saint Petersburg State University, Saint-Petersburg, Russia
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
- Department of Oncology, Örebro University Hospital, Örebro, Sweden
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
- Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Anne-Lise Børresen-Dale
- 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
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- iFIT-Cluster of Excellence, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Tübingen, Tübingen, 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), National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Angela Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Thomas Brüning
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute, Ruhr University Bochum (IPA), Bochum, Germany
| | - Barbara Burwinkel
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), C080, 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
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - 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 GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Georgia Chenevix-Trench
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - 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
| | - Angela Cox
- Department of Oncology and Metabolism, Sheffield Institute for Nucleic Acids (SInFoNiA), University of Sheffield, Sheffield, UK
| | - Simon S Cross
- Department of Neuroscience, Academic Unit of Pathology, University of Sheffield, Sheffield, 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, PA, USA
| | - Peter Devilee
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Miriam Dwek
- School of Life Sciences, University of Westminster, London, UK
| | - Diana M Eccles
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - D Gareth Evans
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Peter A Fasching
- Department of Gynecology and Obstetrics Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Jonine Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
| | - Giuseppe Floris
- Leuven Multidisciplinary Breast Center, Department of Oncology, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, 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, GA, USA
| | - José A García-Sáenz
- Medical Oncology Department, Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Hospital Clínico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - 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
| | - Mark S Goldberg
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montréal, QC, Canada
- Department of Medicine, McGill University, Montréal, QC, Canada
| | - Anna González-Neira
- Human Cancer Genetics Programme, Spanish National Cancer Research Centre (CNIO), 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
| | - Pascal Guénel
- Center for Research in Epidemiology and Population Health (CESP), Team Exposome and Heredity, INSERM, University Paris-Saclay, Villejuif, France
| | - 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
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Nightingale & Genesis Prevention Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Unit, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | | | | | | | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Robert N Hoover
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Anthony Howell
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Milena Jakimovska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", MASA, Skopje, Republic of North Macedonia
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Audrey Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Saila Kauppila
- Department of Pathology, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yon-Dschun Ko
- Department of Internal Medicine, Johanniter Kliniken Bonn, Johanniter Krankenhaus, Bonn, Germany
| | - Stella Koutros
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vessela N Kristensen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Ute Krüger
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Katerina Kubelka-Sabit
- Department of Histopathology and Cytology, Clinical Hospital Acibadem Sistina, Skopje, Republic of North Macedonia
| | - Allison W Kurian
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyriacos Kyriacou
- Cyprus School of Molecular Medicine, Institute of Neurology & Genetics, Nicosia, Cyprus
- Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, University of Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Derrick G Lee
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
- Department of Mathematics and Statistics, St. Francis Xavier University, Antigonish, NS, Canada
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
| | - Martha Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Ana Llaneza
- General and Gastroenterology Surgery Service, Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Wing-Yee Lo
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Robert J MacInnis
- 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
| | - Arto Mannermaa
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland
| | - Mehdi Manoochehri
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Margolin
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset Stockholm, Sweden
| | | | - Catriona McLean
- Anatomical Pathology, The Alfred Hospital, Melbourne, VIC, Australia
| | - Alfons Meindl
- Department of Gynecology and Obstetrics, University of Munich, Campus Großhadern, Munich, Germany
| | - Usha Menon
- Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - William G Newman
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Jesse Nodora
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Kenneth Offit
- Clinical Genetics Research Lab, Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Håkan Olsson
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Nick Orr
- Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, Ireland, UK
| | | | - Alpa V Patel
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, School of Hygiene and Tropical Medicine, London, UK
| | - Guillermo Pita
- Human Genotyping-CEGEN Unit, Human Cancer Genetic Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Dijana Plaseska-Karanfilska
- Research Centre for Genetic Engineering and Biotechnology "Georgi D. Efremov", MASA, Skopje, Republic of North Macedonia
| | - Ross Prentice
- Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kevin Punie
- Department of General Medical Oncology and Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, University of Oulu, Biocenter Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre Oulu, Oulu, Finland
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Fondazione IRCCS Istituto Nazionale Dei Tumori (INT), Milan, Italy
| | - Gad Rennert
- Technion Faculty of Medicine, Clalit National Cancer Control Center, Carmel Medical Center, Haifa, Israel
| | - Atocha Romero
- Medical Oncology Department, Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Thomas Rüdiger
- Institute of Pathology, Staedtisches Klinikum Karlsruhe, Karlsruhe, Germany
| | | | - Sarah Sampson
- Prevent Breast Cancer Centre and Nightingale Breast Screening Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Elinor J Sawyer
- School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, King's College London, London, UK
| | - Rita K Schmutzler
- Center for Integrated Oncology (CIO), Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Familial Breast and Ovarian Cancer, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Snezhana Smichkoska
- Medical Faculty, Ss. Cyril and Methodius University in Skopje, University Clinic of Radiotherapy and Oncology, Skopje, Republic of North Macedonia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- 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
| | - Anthony J 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 M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | | | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
- Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Lauren R Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Mary Beth Terry
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Melissa A Troester
- Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Celine M Vachon
- Department of Health Science Research, Division of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | | | - Elke M van Veen
- North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Philippe Wagner
- Department of Cancer Epidemiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Camilla Wendt
- Department of Oncology, Södersjukhuset, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset Stockholm, Sweden
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, University of Oulu, Biocenter 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
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Jacques Simard
- Genomics Center, Department of Molecular Medicine, Centre Hospitalier Universitaire de Québec, Université Laval Research Center, Université Laval, Québec City, QC, Canada
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 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
| | - 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
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and GeneticsDepartment of Health and Human Services, Medical Center Drive, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, John Hopkins University, Baltimore, MD, USA
- Department of Oncology, School of Medicine, John Hopkins University, Baltimore, MD, USA
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7
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A Randomized Trial of Precision Prevention Materials to Improve Primary and Secondary Melanoma Prevention Activities among Individuals with Limited Melanoma Risk Phenotypes. Cancers (Basel) 2021; 13:cancers13133143. [PMID: 34201795 PMCID: PMC8267659 DOI: 10.3390/cancers13133143] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 06/10/2021] [Accepted: 06/15/2021] [Indexed: 11/29/2022] Open
Abstract
Simple Summary Inherited genetic variation at the MC1R gene is associated with increased risk of melanoma among non-Hispanic whites (NHWs), especially among those with skin and pigmentation characteristics that are associated with average to lower melanoma risk, for whom MC1R genetic testing may reveal unrecognized melanoma risk. We conducted a randomized trial to examine whether providing MC1R genetic risk information together with precision prevention materials would increase primary and secondary melanoma preventive behaviors compared to providing generic prevention materials only. We found that among participants with MC1R variants associated with higher risk of melanoma, the intervention increased shade-seeking or using an umbrella, increased wearing sleeved shirts, and decreased sunburns among their young children. We conclude that MC1R genetic testing and precision prevention materials may increase the practice of some sun-protective behaviors. Abstract Inherited variation at MC1R is associated with elevated melanoma risk among non-Hispanic whites (NHWs). MC1R genetic testing may unmask previously unrecognized disease risk, especially among individuals with few melanoma phenotypic risk factors. We recruited NHW individuals with limited phenotypic risk factors from two primary care clinics in west-central Florida. Participants (n = 1134) were randomized within MC1R genotype risk group (average/higher) to receive mailed precision prevention (i.e., intervention) or generic prevention materials. Participants reported hours of weekday and weekend sun exposure, frequency of intentional outdoor tanning and sun protection behaviors, number of sunburns, indoor tanning episodes, and skin examinations at baseline, and after 6 and 12 months. Among MC1R higher-risk participants, the intervention increased the likelihood of often or always wearing a shirt with sleeves (OR = 1.49, p = 0.03) and seeking shade or using an umbrella (OR = 1.42, p = 0.046), and it decreased the number of sunburns among their young children (β = −0.13, p = 0.03). Intervention effects were not noted among MC1R average-risk participants. Moderation analyses identified intervention effects within subgroups in average-risk and higher-risk participants. Precision prevention information conveying MC1R testing results can increase the practice of some sun protection behaviors among at-risk individuals with limited melanoma risk phenotypes and may provide a cross-generational tool to counteract increasing incidence of melanoma.
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8
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Alanazi IO, Shaik JP, Parine NR, Al Naeem A, Azzam NA, Almadi MA, Aljebreen AM, Alharbi O, Alanazi MS, Khan Z. NOTCH Single Nucleotide Polymorphisms in the Predisposition of Breast and Colorectal Cancers in Saudi Patients. Pathol Oncol Res 2021; 27:616204. [PMID: 34257585 PMCID: PMC8262141 DOI: 10.3389/pore.2021.616204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 03/17/2021] [Indexed: 11/13/2022]
Abstract
Breast cancer (BC) is a heterogeneous disease and is one of the most common malignancy affecting women worldwide while colorectal cancer (CRC) is estimated to be the third common cancer and second leading cause of cancer related death globally. Both BC and CRC involve multiple genetic and epigenetic alterations in genes belonging to various signaling pathways including NOTCH that has been implicated in the development of these cancers. We investigated four single nucleotide polymorphisms, each in genes encoding NOTCH1-4 receptors for their role in susceptibility to breast and colorectal cancers in Saudi population. In this case-control study, TaqMan genotypic analysis of rs3124591 in NOTCH1 and rs3820041 in NOTCH4 did not exhibit association with breast as well as colorectal cancers. However, a strong association of rs11249433 which is in close proximity to NOTCH2 was observed with breast cancer susceptibility especially with those having an early onset of the disease. Interestingly, the rs1043994 located in NOTCH3 showed gender preference and was found to be significantly associated with colorectal cancers in males. Validation of these findings in bigger populations of different ethnicities may prove beneficial in identifying rs11249433 and rs1043994 as genetic screening markers for early detection of breast and colorectal carcinomas, respectively.
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Affiliation(s)
- Ibrahim O Alanazi
- National Center for Biotechnology, King Abdulaziz City for Science and Technology, Riyadh, Kingdom of Saudi Arabia
| | - Jilani Purusottapatnam Shaik
- Genome Research Chair, Department of Biochemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Narasimha Reddy Parine
- Genome Research Chair, Department of Biochemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Abdulrahman Al Naeem
- Basic Sciences Department, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia.,Department of Women's Imaging, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia
| | - Nahla A Azzam
- College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.,Division of Gastroenterology, Department of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Majid A Almadi
- College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.,Division of Gastroenterology, Department of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Abdulrahman M Aljebreen
- College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.,Division of Gastroenterology, Department of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Othman Alharbi
- College of Medicine, King Saud University, Riyadh, Kingdom of Saudi Arabia.,Division of Gastroenterology, Department of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Mohammad Saud Alanazi
- Genome Research Chair, Department of Biochemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Zahid Khan
- Genome Research Chair, Department of Biochemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia
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9
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Ellsworth DL, Turner CE, Ellsworth RE. A Review of the Hereditary Component of Triple Negative Breast Cancer: High- and Moderate-Penetrance Breast Cancer Genes, Low-Penetrance Loci, and the Role of Nontraditional Genetic Elements. JOURNAL OF ONCOLOGY 2019; 2019:4382606. [PMID: 31379942 PMCID: PMC6652078 DOI: 10.1155/2019/4382606] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 06/23/2019] [Indexed: 12/31/2022]
Abstract
Triple negative breast cancer (TNBC), representing 10-15% of breast tumors diagnosed each year, is a clinically defined subtype of breast cancer associated with poor prognosis. The higher incidence of TNBC in certain populations such as young women and/or women of African ancestry and a unique pathological phenotype shared between TNBC and BRCA1-deficient tumors suggest that TNBC may be inherited through germline mutations. In this article, we describe genes and genetic elements, beyond BRCA1 and BRCA2, which have been associated with increased risk of TNBC. Multigene panel testing has identified high- and moderate-penetrance cancer predisposition genes associated with increased risk for TNBC. Development of large-scale genome-wide SNP assays coupled with genome-wide association studies (GWAS) has led to the discovery of low-penetrance TNBC-associated loci. Next-generation sequencing has identified variants in noncoding RNAs, viral integration sites, and genes in underexplored regions of the human genome that may contribute to the genetic underpinnings of TNBC. Advances in our understanding of the genetics of TNBC are driving improvements in risk assessment and patient management.
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Affiliation(s)
| | - Clesson E. Turner
- Murtha Cancer Center/Research Program, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Rachel E. Ellsworth
- Murtha Cancer Center/Research Program, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
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10
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Akhter N, Alzahrani FA, Dar SA, Wahid M, Sattar RSA, Hussain S, Haque S, Ansari SA, Jawed A, Mandal RK, Almalki S, Alharbi RA, Husain SA. AA genotype of cyclin D1 G870A polymorphism increases breast cancer risk: Findings of a case-control study and meta-analysis. J Cell Biochem 2019; 120:16452-16466. [PMID: 31243808 DOI: 10.1002/jcb.28800] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/29/2019] [Accepted: 02/04/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cyclin D1 (CCND1) polymorphisms, a regulator of the cell cycle progress from G1 to the S phase, may lead to uncontrolled cell proliferation and lack of apoptosis. G870A, a common single-nucleotide polymorphism in CCND1 influences breast cancer risk. However, the association between G870A polymorphism and breast cancer risk is ambiguous so far. MATERIALS AND METHODS In this case-control study, we analyzed the role of G870A polymorphism with breast cancer risk in Indian women. A meta-analysis of 18 studies was also performed to elucidate this association by increasing statistical power. RESULTS In our case-control study, significant risk association of the CCND1 G870A AA genotype with breast cancer in total cohort (odds ratio [OR], 2.98; 95% confidence interval [CI], 1.64-5.42; P value, 4.96e-04) and premenopausal women (OR, 3.31; 95% CI, 1.54-7.08; P value, .003) was found. The results of the meta-analysis showed that AA genotype of the CCND1 G870A polymorphism significantly increases breast cancer risk in total pooled data (AA vs GG+GA: OR = 1.20; 95% CI = 1.03 to 1.39; P value, 0.016*) and Caucasian (AA vs GG+GA: OR = 1.22; 95% CI = 0.99 to 1.51; P value, .056*) but not in Asian population. Further, a significant protective association with breast cancer was also found in the GA vs AA comparison model in pooled data (OR = 0.73; 95% CI = 0.58 to 0.92; P value, .007*) as well as in Caucasian subgroup (OR = 0.62; 95% CI = 0.49 to 0.94; P value, .022*). CONCLUSION CCND1 G870A AA genotype was found associated with breast cancer risk. Future association studies considering the environmental impact on gene expression are required to validate/explore this association.
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Affiliation(s)
- Naseem Akhter
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Faisal Abdulrahman Alzahrani
- Department of Biological Sciences, Rabigh College of Science and Arts, King Abdulaziz University, Rabigh, Saudi Arabia
| | - Sajad Ahmad Dar
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Mohd Wahid
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | | | - Showket Hussain
- Division of Molecular OncologyAnchor, AnchorNational Institute of Cancer Prevention and Research (ICMR), Noida, India
| | - Shafiul Haque
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.,Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Shakeel Ahmed Ansari
- AnchorAnchorCenter of Excellence in Genomic Medicine Research, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Arshad Jawed
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Raju K Mandal
- Research and Scientific Studies Unit, College of Nursing & Allied Health Sciences, Jazan University, Jazan, Saudi Arabia
| | - Shaia Almalki
- Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Raed A Alharbi
- Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Albaha University, Al Bahah, Saudi Arabia
| | - Syed Akhtar Husain
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India
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11
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RAD51B (rs8017304 and rs2588809), TRIB1 (rs6987702, rs4351379, and rs4351376), COL8A1 (rs13095226), and COL10A1 (rs1064583) Gene Variants with Predisposition to Age-Related Macular Degeneration. DISEASE MARKERS 2019; 2019:5631083. [PMID: 31191752 PMCID: PMC6525907 DOI: 10.1155/2019/5631083] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 03/27/2019] [Indexed: 12/16/2022]
Abstract
Background Age-related macular degeneration (AMD) is a progressive neurodegenerative disease of a central part of the neural retina (macula) and a leading cause of blindness in elderly people. While it is known that the AMD is a multifactorial disease, genetic factors involved in lipid metabolism, inflammation, and neovascularization are currently being widely studied in genome-wide association studies (GWAS). The aim of our study was to evaluate the impact of new single nucleotide polymorphisms (SNPs) in RAD51B, TRIB1, COL8A1, and COL10A1 genes on AMD development. Methods Case-control study involved 254 patients diagnosed with early AMD, 244 patients with exudative AMD, and 942 control subjects. The genotyping of RAD51B (rs8017304 and rs2588809), TRIB1 (rs6987702, rs4351379, and rs4351376), COL8A1 (rs13095226), and COL10A1 (rs1064583) was carried out using TaqMan assays by a real-time polymerase chain reaction (RT-PCR) method. Results Statistically significant difference was found in genotype (TT, TC, and CC) distribution of COL8A1 rs13095226 between exudative AMD and control groups (60.2%, 33.6%, and 6.1% vs. 64.9%, 32.3%, and 2.9%, respectively, p = 0.036). Also, comparing with TT+TC, rs13095226 CC genotype was associated with 3.5-fold increased odds of exudative AMD development (OR = 3.540; 95% CI: 1.415-8.856; p = 0.007). Conclusion Our study revealed a strong association between a variant in COL8A1 (rs13095226) and exudative AMD development.
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12
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Hartkopf AD, Müller V, Wöckel A, Lux MP, Janni W, Nabieva N, Taran FA, Ettl J, Lüftner D, Belleville E, Schütz F, Fasching PA, Fehm TN, Kolberg HC, Overkamp F, Schneeweiss A, Tesch H. Update Breast Cancer 2019 Part 1 - Implementation of Study Results of Novel Study Designs in Clinical Practice in Patients with Early Breast Cancer. Geburtshilfe Frauenheilkd 2019; 79:256-267. [PMID: 30880824 PMCID: PMC6414304 DOI: 10.1055/a-0842-6614] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 01/28/2019] [Indexed: 12/18/2022] Open
Abstract
For many years, small but significant advancements have been made time and again in the prevention and treatment of early breast cancer. The so-called panel gene analyses are becoming more and more important in prevention, since the risk due to the tested genes is better understood and as a result, concepts for integration in health care can be developed. In the adjuvant situation, the first study in the so-called post-neoadjuvant situation was able to demonstrate a clear improvement in the prognosis with an absent pathological complete remission following trastuzumab or pertuzumab + trastuzumab. Additional studies with this post-neoadjuvant therapeutic concept are still being conducted at present. The CDK4/6 inhibitors which had shown a significant improvement in progression-free survival in a metastatic situation are currently being tested in the adjuvant situation in large therapeutic studies. These and other new data for the treatment or prevention of primary breast cancer are presented in this review against the backdrop of current studies.
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Affiliation(s)
- Andreas D. Hartkopf
- Department of Obstetrics and Gynecology, University of Tübingen, Tübingen, Germany
| | - Volkmar Müller
- Department of Gynecology, Hamburg-Eppendorf University Medical Center, Hamburg, Germany
| | - Achim Wöckel
- Department of Gynecology and Obstetrics, University Hospital Würzburg, Würzburg, Germany
| | - Michael P. Lux
- Erlangen University Hospital, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, Ulm University Hospital, Ulm, Germany
| | - Naiba Nabieva
- Erlangen University Hospital, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Florin-Andrei Taran
- Department of Obstetrics and Gynecology, University of Tübingen, Tübingen, Germany
| | - Johannes Ettl
- Department of Obstetrics and Gynecology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Diana Lüftner
- Charité University Hospital, Campus Benjamin Franklin, Department of Hematology, Oncology and Tumour Immunology, Berlin, Germany
| | | | - Florian Schütz
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Peter A. Fasching
- Erlangen University Hospital, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Tanja N. Fehm
- Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Düsseldorf, Germany
| | | | | | - Andreas Schneeweiss
- National Center for Tumor Diseases, Division Gynecologic Oncology, University Hospital Heidelberg, Heidelberg, Germany
| | - Hans Tesch
- Oncology Practice at Bethanien Hospital Frankfurt, Frankfurt, Germany
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13
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Ren S, Gaykalova D, Wang J, Guo T, Danilova L, Favorov A, Fertig E, Bishop J, Khan Z, Flam E, Wysocki PT, DeJong P, Ando M, Liu C, Sakai A, Fukusumi T, Haft S, Sadat S, Califano JA. Discovery and development of differentially methylated regions in human papillomavirus-related oropharyngeal squamous cell carcinoma. Int J Cancer 2018; 143:2425-2436. [PMID: 30070359 DOI: 10.1002/ijc.31778] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 05/30/2018] [Accepted: 07/04/2018] [Indexed: 12/15/2022]
Abstract
Human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC) exhibits a different composition of epigenetic alterations. In this study, we identified differentially methylated regions (DMRs) with potential utility in screening for HPV-positive OPSCC. Genome wide DNA methylation was measured using methyl-CpG binding domain protein-enriched genome sequencing (MBD-seq) in 50 HPV-positive OPSCC tissues and 25 normal tissues. Fifty-one DMRs were defined with maximal methylation specificity to cancer samples. The Cancer Genome Atlas (TCGA) methylation array data was used to evaluate the performance of the proposed candidates. Supervised hierarchical clustering of 51 DMRs found that HPV-positive OPSCC had significantly higher DNA methylation levels compared to normal samples, and non-HPV-related head and neck squamous cell carcinoma (HNSCC). The methylation levels of all top 20 DNA methylation biomarkers in HPV-positive OPSCC were significantly higher than those in normal samples. Further confirmation using quantitative methylation specific PCR (QMSP) in an independent set of 24 HPV-related OPSCCs and 22 controls showed that 16 of the 20 candidates had significant higher methylation levels in HPV-positive OPSCC samples compared with controls. One candidate, OR6S1, had a sensitivity of 100%, while 17 candidates (KCNA3, EMBP1, CCDC181, DPP4, ITGA4, BEND4, ELMO1, SFMBT2, C1QL3, MIR129-2, NID2, HOXB4, ZNF439, ZNF93, VSTM2B, ZNF137P and ZNF773) had specificities of 100%. The prediction accuracy of the 20 candidates rang from 56.2% to 99.8% by receiver operating characteristic analysis. We have defined 20 highly specific DMRs in HPV-related OPSCC, which can potentially be applied to molecular-based detection tests and improve disease management.
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Affiliation(s)
- Shuling Ren
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Department of Otolaryngology - Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Daria Gaykalova
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Jennifer Wang
- Department of Head and Neck Surgery, MD Anderson Cancer Center, Houston, TX
| | - Theresa Guo
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Ludmila Danilova
- Division of Oncology Biostatistics, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD.,Laboratory of Systems Biology and Computational Genetics, Vavilov Institute of General Genetics, RAS, Moscow, Russia
| | - Alexander Favorov
- Division of Oncology Biostatistics, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD.,Laboratory of Systems Biology and Computational Genetics, Vavilov Institute of General Genetics, RAS, Moscow, Russia
| | - Elana Fertig
- Division of Oncology Biostatistics, Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Justin Bishop
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Zubair Khan
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Emily Flam
- Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Piotr T Wysocki
- Laboratory of Human Cancer Genetics, Center of New Technologies, University of Warsaw, Warsaw, Poland.,The Maria Sklodowska-Curie Institute Oncology Center, Warsaw, Poland
| | - Peter DeJong
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,College of Human Medicine, Michigan State University, East Lansing, MI
| | - Mizuo Ando
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Department of Otolaryngology-Head and Neck Surgery, Tokyo University, Tokyo, Japan
| | - Chao Liu
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Department of Otolaryngology - Head and Neck Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Akihiro Sakai
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Department of Otolaryngology, Center of Head and Neck Surgery, Tokai University, Isehara, Japan
| | - Takahito Fukusumi
- Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Sunny Haft
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, CA
| | - Sayed Sadat
- Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - Joseph A Califano
- Moores Cancer Center, University of California San Diego, La Jolla, CA.,Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, MD.,Division of Otolaryngology - Head and Neck Surgery, Department of Surgery, University of California San Diego, La Jolla, CA
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14
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Cox DG, Curtit E, Romieu G, Fumoleau P, Rios M, Bonnefoi H, Bachelot T, Soulié P, Jouannaud C, Bourgeois H, Petit T, Tennevet I, Assouline D, Mathieu MC, Jacquin JP, Lavau-Denes S, Darut-Jouve A, Ferrero JM, Tarpin C, Lévy C, Delecroix V, Trillet-Lenoir V, Cojocarasu O, Meunier J, Pierga JY, Faure-Mercier C, Blanché H, Sahbatou M, Boland A, Bacq D, Besse C, Deleuze JF, Pauporté I, Thomas G, Pivot X. GWAS in the SIGNAL/PHARE clinical cohort restricts the association between the FGFR2 locus and estrogen receptor status to HER2-negative breast cancer patients. Oncotarget 2018; 7:77358-77364. [PMID: 27764800 PMCID: PMC5363591 DOI: 10.18632/oncotarget.12669] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Accepted: 09/14/2016] [Indexed: 01/23/2023] Open
Abstract
Genetic polymorphisms are associated with breast cancer risk. Clinical and epidemiological observations suggest that clinical characteristics of breast cancer, such as estrogen receptor or HER2 status, are also influenced by hereditary factors. To identify genetic variants associated with pathological characteristics of breast cancer patients, a Genome Wide Association Study was performed in a cohort of 9365 women from the French nationwide SIGNAL/PHARE studies (NCT00381901/RECF1098). Strong association between the FGFR2 locus and ER status of breast cancer patients was observed (ER-positive n=6211, ER-negative n=2516; rs3135718 OR=1.34 p=5.46×10-12). This association was limited to patients with HER2-negative tumors (ER-positive n=4267, ER-negative n=1185; rs3135724 OR=1.85 p=1.16×10-11). The FGFR2 locus is known to be associated with breast cancer risk. This study provides sound evidence for an association between variants in the FGFR2 locus and ER status among breast cancer patients, particularly among patients with HER2-negative disease. This refinement of the association between FGFR2 variants and ER-status to HER2-negative disease provides novel insight to potential biological and clinical influence of genetic polymorphisms on breast tumors.
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Affiliation(s)
- David G Cox
- Centre de Recherche en Cancérologie de Lyon, INSERM U1052 - Centre Léon Bérard, 69373 Lyon, France
| | - Elsa Curtit
- Hôpital Jean-Minjoz, Centre Hospitalier Universitaire, Boulevard Fleming, 25030 Besançon, France
| | - Gilles Romieu
- Oncologie Sénologie, ICM Institut Régional du Cancer, 34298 Montpellier Cedex, France
| | | | - Maria Rios
- Institut de Cancérologie de Lorraine - Alexis Vautrin, Département d'Oncologie Médicale, 54511 Vandœuvre-lès-Nancy Cedex, France
| | - Hervé Bonnefoi
- Institut Bergonié, Département d'Oncologie Médicale, 33000 Bordeaux, France
| | - Thomas Bachelot
- Centre Léon Bérard, Département de Cancérologie Médicale, Lyon Cedex 08, France
| | - Patrick Soulié
- Institut de Cancérologie de l'Ouest, Service Oncologie Médicale, 49993 Angers Cedex 09, France
| | | | - Hugues Bourgeois
- Clinique Victor Hugo-Centre Jean Bernard, 72015 Le Mans Cedex 2, France
| | - Thierry Petit
- Centre Paul Strauss, Service d'Oncologie Médicale, 67065 Strasbourg Cedex, France
| | | | - David Assouline
- Institut Daniel Hollard, Service Oncologie Médicale, 38028 Grenoble Cedex 01, France
| | | | - Jean-Philippe Jacquin
- Institut de Cancérologie Lucien Neuwirth, Service Oncologie Médicale, 42270 Saint Priest en Jarez, France
| | - Sandrine Lavau-Denes
- Centre Hospitalier de Limoges, Service d'Oncologie Médicale, 87042 Limoges Cedex, France
| | - Ariane Darut-Jouve
- Clinique Drévon, Centre d'Oncologie et de Radiothérapie du Parc, 21000 Dijon, France
| | - Jean-Marc Ferrero
- Centre Antoine Lacassagne, Département Oncologie Médicale, 06189 Nice Cedex 02, France
| | - Carole Tarpin
- Institut Paoli-Calmettes, Département d'Oncologie Médicale, 13009 Marseille, France
| | | | - Valérie Delecroix
- Pôle Mutualiste, Service Oncologie Médicale, 44606 Saint Nazaire, France
| | | | - Oana Cojocarasu
- Centre Hospitalier Le Mans, Service d'Onco-Hématologie et Médecine interne, 72037 Le Mans Cedex, France
| | - Jérôme Meunier
- Centre Hospitalier Régional d'Orléans, Service d'Oncologie Médicale, 45032 Orleans Cedex 1, France
| | - Jean-Yves Pierga
- Institut Curie, Department of Medical Oncology, 75248 Paris Cedex 05, France
| | - Céline Faure-Mercier
- Institut National du Cancer, Direction de la Recherche, 92513 Boulogne-Billancourt, France
| | - Hélène Blanché
- Fondation Jean Dausset, Centre d'Etudes du Polymorphisme Humain, 75010 Paris, France
| | - Mourad Sahbatou
- Fondation Jean Dausset, Centre d'Etudes du Polymorphisme Humain, 75010 Paris, France
| | - Anne Boland
- Centre National du Génotypage, Institut de Génomique, CEA, CP 5721, 91057 Evry Cedex, France
| | - Delphine Bacq
- Centre National du Génotypage, Institut de Génomique, CEA, CP 5721, 91057 Evry Cedex, France
| | - Céline Besse
- Centre National du Génotypage, Institut de Génomique, CEA, CP 5721, 91057 Evry Cedex, France
| | - Jean-François Deleuze
- Fondation Jean Dausset, Centre d'Etudes du Polymorphisme Humain, 75010 Paris, France.,Centre National du Génotypage, Institut de Génomique, CEA, CP 5721, 91057 Evry Cedex, France
| | - Iris Pauporté
- Institut National du Cancer, Direction de la Recherche, 92513 Boulogne-Billancourt, France
| | - Gilles Thomas
- Synergie Lyon Cancer, Centre Léon Bérard, Lyon Cedex 08, France
| | - Xavier Pivot
- Hôpital Jean-Minjoz, Centre Hospitalier Universitaire, Boulevard Fleming, 25030 Besançon, France
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15
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Golmard L, Castéra L, Krieger S, Moncoutier V, Abidallah K, Tenreiro H, Laugé A, Tarabeux J, Millot GA, Nicolas A, Laé M, Abadie C, Berthet P, Polycarpe F, Frébourg T, Elan C, de Pauw A, Gauthier-Villars M, Buecher B, Stern MH, Stoppa-Lyonnet D, Vaur D, Houdayer C. Contribution of germline deleterious variants in the RAD51 paralogs to breast and ovarian cancers. Eur J Hum Genet 2017; 25:1345-1353. [PMID: 29255180 DOI: 10.1038/s41431-017-0021-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 09/20/2017] [Accepted: 09/22/2017] [Indexed: 12/11/2022] Open
Abstract
RAD51 paralogs (RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3) have recently been involved in breast and ovarian cancer predisposition: RAD51B, RAD51C, and RAD51D in ovarian cancer, RAD51B and XRCC2 in breast cancer. The aim of this study was to estimate the contribution of deleterious variants in the five RAD51 paralogs to breast and ovarian cancers. The five RAD51 paralog genes were analyzed by next-generation sequencing technologies in germline DNA from 2649 consecutive patients diagnosed with breast and/or ovarian cancer. Twenty-one different deleterious variants were identified in the RAD51 paralogs in 30 patients: RAD51B (n = 4), RAD51C (n = 12), RAD51D (n = 7), XRCC2 (n = 2), and XRCC3 (n = 5). The overall deleterious variant rate was 1.13% (95% confidence interval (CI): 0.72-1.55%) (30/2649), including 15 variants in breast cancer only cases (15/2063; 0.73% (95% CI: 0.34-1.11%)) and 15 variants in cases with at least one ovarian cancer (15/570; 2.63% (95% CI: 1.24-4.02%)). This study is the first evaluation of the five RAD51 paralogs in breast and ovarian cancer predisposition and it demonstrates that deleterious variants can be present in breast cancer only cases. Moreover, this is the first time that XRCC3 deleterious variants have been identified in breast and ovarian cancer cases.
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Affiliation(s)
- Lisa Golmard
- Department of Tumour Biology, Institut Curie, Paris, 75005, France. .,Inserm U830, Institut Curie, Paris, 75005, France.
| | - Laurent Castéra
- Department of Cancer Biology and Genetics, CCC François Baclesse, Caen, 14000, France.,Inserm U1079, Normandy Center for Genomic and Personalized Medicine, Rouen, 76183, France
| | - Sophie Krieger
- Department of Cancer Biology and Genetics, CCC François Baclesse, Caen, 14000, France.,Inserm U1079, Normandy Center for Genomic and Personalized Medicine, Rouen, 76183, France.,University of Caen, Normandie, 14032, France
| | | | | | | | - Anthony Laugé
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | - Julien Tarabeux
- Department of Tumour Biology, Institut Curie, Paris, 75005, France.,Inserm U830, Institut Curie, Paris, 75005, France
| | - Gael A Millot
- Institut Curie, PSL Research University, CNRS UMR3244, Paris, 75005, France.,Sorbonne Universités, UPMC Univ Paris 06, CNRS UMR3244, Paris, 75005, France
| | - André Nicolas
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | - Marick Laé
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | - Caroline Abadie
- Department of Genetics, Centre Hospitalo-Universitaire, Rennes, 35033, France
| | - Pascaline Berthet
- Department of Genetics, Centre François Baclesse, Caen, 14000, France
| | | | - Thierry Frébourg
- Inserm U1079, Normandy Center for Genomic and Personalized Medicine, Rouen, 76183, France.,Department of Genetics, Centre Hospitalo-Universitaire, Rouen, 76000, France.,University of Rouen, IRIB, Rouen, 76183, France
| | - Camille Elan
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | - Antoine de Pauw
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | | | - Bruno Buecher
- Department of Tumour Biology, Institut Curie, Paris, 75005, France
| | - Marc-Henri Stern
- Department of Tumour Biology, Institut Curie, Paris, 75005, France.,Inserm U830, Institut Curie, Paris, 75005, France.,Institut Curie, PSL Research University, Paris, 75005, France
| | - Dominique Stoppa-Lyonnet
- Department of Tumour Biology, Institut Curie, Paris, 75005, France.,Inserm U830, Institut Curie, Paris, 75005, France.,Paris Descartes University, Sorbonne Paris Cité, Paris, 75006, France
| | - Dominique Vaur
- Department of Cancer Biology and Genetics, CCC François Baclesse, Caen, 14000, France.,Inserm U1079, Normandy Center for Genomic and Personalized Medicine, Rouen, 76183, France
| | - Claude Houdayer
- Department of Tumour Biology, Institut Curie, Paris, 75005, France.,Inserm U830, Institut Curie, Paris, 75005, France.,Paris Descartes University, Sorbonne Paris Cité, Paris, 75006, France
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16
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Holm J, Eriksson L, Ploner A, Eriksson M, Rantalainen M, Li J, Hall P, Czene K. Assessment of Breast Cancer Risk Factors Reveals Subtype Heterogeneity. Cancer Res 2017; 77:3708-3717. [PMID: 28512241 DOI: 10.1158/0008-5472.can-16-2574] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Revised: 02/05/2017] [Accepted: 04/19/2017] [Indexed: 11/16/2022]
Abstract
Subtype heterogeneity for breast cancer risk factors has been suspected, potentially reflecting etiologic differences and implicating risk prediction. However, reports are conflicting regarding the presence of heterogeneity for many exposures. To examine subtype heterogeneity across known breast cancer risk factors, we conducted a case-control analysis of 2,632 breast cancers and 15,945 controls in Sweden. Molecular subtype was predicted from pathology record-derived IHC markers by a classifier trained on PAM50 subtyping. Multinomial logistic regression estimated separate ORs for each subtype by the exposures parity, age at first birth, breastfeeding, menarche, hormone replacement therapy use, somatotype at age 18, benign breast disease, mammographic density, polygenic risk score, family history of breast cancer, and BRCA mutations. We found clear subtype heterogeneity for genetic factors and breastfeeding. Polygenic risk score was associated with all subtypes except for the basal-like (Pheterogeneity < 0.0001). "Never breastfeeding" was associated with increased risk of basal-like subtype [OR 4.17; 95% confidence interval (CI) 1.89-9.21] compared with both nulliparity (reference) and breastfeeding. Breastfeeding was not associated with risk of HER2-overexpressing type, but protective for all other subtypes. The observed heterogeneity in risk of distinct breast cancer subtypes for germline variants supports heterogeneity in etiology and has implications for their use in risk prediction. The association between basal-like subtype and breastfeeding merits more research into potential causal mechanisms and confounders. Cancer Res; 77(13); 3708-17. ©2017 AACR.
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Affiliation(s)
- Johanna Holm
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden.
| | - Louise Eriksson
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden.,Department of Oncology and Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden
| | - Alexander Ploner
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Mikael Eriksson
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Mattias Rantalainen
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Jingmei Li
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Per Hall
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden.,Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
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17
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Bodelon C, Oh H, Chatterjee N, Garcia-Closas M, Palakal M, Sherman ME, Pfeiffer RM, Geller B, Vacek P, Weaver DL, Chicoine R, Papathomas D, Xiang J, Patel DA, Khodr ZG, Linville L, Clare SE, Visscher DW, Mies C, Hewitt SM, Brinton LA, Storniolo AMV, He C, Chanock SJ, Gierach GL, Figueroa JD. Association between breast cancer genetic susceptibility variants and terminal duct lobular unit involution of the breast. Int J Cancer 2016; 140:825-832. [PMID: 27859137 DOI: 10.1002/ijc.30512] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 10/05/2016] [Indexed: 01/06/2023]
Abstract
Terminal duct lobular units (TDLUs) are the predominant source of future breast cancers, and lack of TDLU involution (higher TDLU counts, higher acini count per TDLU and the product of the two) is a breast cancer risk factor. Numerous breast cancer susceptibility single nucleotide polymorphisms (SNPs) have been identified, but whether they are associated with TDLU involution is unknown. In a pooled analysis of 872 women from two studies, we investigated 62 established breast cancer SNPs and relationships with TDLU involution. Poisson regression models with robust variance were used to calculate adjusted per-allele relative risks (with the non-breast cancer risk allele as the referent) and 95% confidence intervals between TDLU measures and each SNP. All statistical tests were two-sided; P < 0.05 was considered statistically significant. Overall, 36 SNPs (58.1%) were related to higher TDLU counts although this was not statistically significant (p = 0.25). Six of the 62 SNPs (9.7%) were nominally associated with at least one TDLU measure: rs616488 (PEX14), rs11242675 (FOXQ1) and rs6001930 (MKL1) were associated with higher TDLU count (p = 0.047, 0.045 and 0.031, respectively); rs1353747 (PDE4D) and rs6472903 (8q21.11) were associated with higher acini count per TDLU (p = 0.007 and 0.027, respectively); and rs1353747 (PDE4D) and rs204247 (RANBP9) were associated with the product of TDLU and acini counts (p = 0.024 and 0.017, respectively). Our findings suggest breast cancer SNPs may not strongly influence TDLU involution. Agnostic genome-wide association studies of TDLU involution may provide new insights on its biologic underpinnings and breast cancer susceptibility.
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Affiliation(s)
- Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Hannah Oh
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | - Maya Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Mark E Sherman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.,Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | | | | | | | - Daphne Papathomas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Jackie Xiang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Deesha A Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Zeina G Khodr
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Laura Linville
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Susan E Clare
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Carolyn Mies
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
| | - Stephen M Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Anna Maria V Storniolo
- Susan G. Komen Tissue Bank at the Indiana University Simon Cancer Center, Indianapolis, IN
| | - Chunyan He
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.,Usher Institute of Population Health Sciences and Informatics and Edinburgh Cancer Research Centre, University of Edinburgh, Edinburgh, UK
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18
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Skol AD, Sasaki MM, Onel K. The genetics of breast cancer risk in the post-genome era: thoughts on study design to move past BRCA and towards clinical relevance. Breast Cancer Res 2016; 18:99. [PMID: 27716388 PMCID: PMC5048663 DOI: 10.1186/s13058-016-0759-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
More than 12 % of women will be diagnosed with breast cancer in their lifetime. Although there have been tremendous advances in elucidating genetic risk factors underlying both familial and sporadic breast cancer, much of the genetic contribution to breast cancer etiology remains unknown. The discovery of BRCA1 and BRCA2 over 20 years ago remains the seminal event in the field and has paved the way for the discovery of other high-penetrance susceptibility genes by linkage analysis. The advent of genome-wide association studies made possible the next wave of discoveries, in which over 80 low-penetrance and moderate-penetrance variants were identified. Although these studies were highly successful at discovering variants associated with both familial and sporadic breast cancer, the variants identified to date explain only 50 % of the heritability of breast cancer. In this review, we look back at the investigative strategies that have led to our current understanding of breast cancer genetics, consider the challenges of performing association studies in heterogeneous complex diseases such as breast cancer, and look ahead toward the types of study designs that may lead to the identification of the genetic variation accounting for the remaining missing heritability.
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Affiliation(s)
- Andrew D Skol
- Department of Pediatrics, The University of Chicago, Chicago, IL, 60637, USA
| | - Mark M Sasaki
- Department of Biology, Hamilton College, Clinton, NY, 13323, USA
| | - Kenan Onel
- Department of Pediatrics, The University of Chicago, Chicago, IL, 60637, USA. .,Section of Hematology/Oncology, Department of Pediatrics, The University of Chicago, KCBD 5140, 900 East 57th Street, Chicago, IL, 60637, USA.
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19
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Horne HN, Chung CC, Zhang H, Yu K, Prokunina-Olsson L, Michailidou K, Bolla MK, Wang Q, Dennis J, Hopper JL, Southey MC, Schmidt MK, Broeks A, Muir K, Lophatananon A, Fasching PA, Beckmann MW, Fletcher O, Johnson N, Sawyer EJ, Tomlinson I, Burwinkel B, Marme F, Guénel P, Truong T, Bojesen SE, Flyger H, Benitez J, González-Neira A, Anton-Culver H, Neuhausen SL, Brenner H, Arndt V, Meindl A, Schmutzler RK, Brauch H, Hamann U, Nevanlinna H, Khan S, Matsuo K, Iwata H, Dörk T, Bogdanova NV, Lindblom A, Margolin S, Mannermaa A, Kosma VM, Chenevix-Trench G, Wu AH, ven den Berg D, Smeets A, Zhao H, Chang-Claude J, Rudolph A, Radice P, Barile M, Couch FJ, Vachon C, Giles GG, Milne RL, Haiman CA, Marchand LL, Goldberg MS, Teo SH, Taib NAM, Kristensen V, Borresen-Dale AL, Zheng W, Shrubsole M, Winqvist R, Jukkola-Vuorinen A, Andrulis IL, Knight JA, Devilee P, Seynaeve C, García-Closas M, Czene K, Darabi H, Hollestelle A, Martens JWM, Li J, Lu W, Shu XO, Cox A, Cross SS, Blot W, Cai Q, Shah M, Luccarini C, Baynes C, Harrington P, Kang D, Choi JY, Hartman M, Chia KS, Kabisch M, Torres D, Jakubowska A, Lubinski J, Sangrajrang S, Brennan P, Slager S, Yannoukakos D, Shen CY, Hou MF, Swerdlow A, Orr N, Simard J, Hall P, Pharoah PDP, Easton DF, Chanock SJ, Dunning AM, Figueroa JD. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus. PLoS One 2016; 11:e0160316. [PMID: 27556229 PMCID: PMC4996485 DOI: 10.1371/journal.pone.0160316] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 07/18/2016] [Indexed: 02/02/2023] Open
Abstract
The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.
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Affiliation(s)
- Hisani N. Horne
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
- Food and Drug Administration, Silver Spring, MD, United States of America
| | - Charles C. Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Kyriaki Michailidou
- 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
| | - 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
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Melissa C. Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Annegien Broeks
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Kenneth Muir
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
- Institute of Population Health, University of Manchester, Manchester, UK
| | - Artitaya Lophatananon
- Division of Health Sciences, Warwick Medical School, Warwick University, Coventry, UK
| | - 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, CA, United States of America
| | - Matthias W. Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Elinor J. Sawyer
- Research Oncology, Guy’s Hospital, King's College London, London, UK
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Frederik Marme
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Pascal Guénel
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif, France
- University Paris-Sud, Villejuif, France
| | - Thérèse Truong
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif, France
- University Paris-Sud, Villejuif, France
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras, Valencia, Spain
| | - Anna González-Neira
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, CA, United States of America
| | - Susan L. Neuhausen
- Beckman Research Institute of City of Hope, Duarte, CA, United States of America
| | - 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), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - Rita K. Schmutzler
- Division of Molecular Gyneco-Oncology, Department of Gynaecology and Obstetrics, University Hospital of Cologne, Cologne, Germany
- Center of Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany
- Center for Integrated Oncology, University Hospital of Cologne, Cologne, Germany
- Center for Molecular Medicine, University Hospital of Cologne, Cologne, Germany
| | - Hiltrud Brauch
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Sofia Khan
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Keitaro Matsuo
- Department of Preventive Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Hiroji Iwata
- Department of Breast Oncology, Aichi Cancer Center Hospital, Aichi, Japan
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | | | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sara Margolin
- Department of Oncology - Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Arto Mannermaa
- Cancer Center, Kuopio University Hospital, 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
| | - Veli-Matti Kosma
- Cancer Center, Kuopio University Hospital, 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
| | | | | | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - David ven den Berg
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Ann Smeets
- University Hospital Gashuisberg, Leuven, Belgium
| | - Hui Zhao
- Vesalius Research Center, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - 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
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 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
| | - Monica Barile
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia, Milan, Italy
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Celine Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America
| | - Loic Le Marchand
- University of Hawaii Cancer Center, Honolulu, HI, United States of America
| | - Mark S. Goldberg
- Department of Medicine, McGill University, Montreal, Canada
- Division of Clinical Epidemiology, Royal Victoria Hospital, McGill University, Montreal, Canada
| | - Soo H. Teo
- Cancer Research Initiatives Foundation, Subang Jaya, Selangor, Malaysia
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, KualaLumpur, Malaysia
| | - Nur A. M. Taib
- Breast Cancer Research Unit, Cancer Research Institute, University Malaya Medical Centre, KualaLumpur, Malaysia
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Radiumhospitalet, Oslo University Hospital, Oslo University Hospital, 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
| | - Anne-Lise Borresen-Dale
- Department of Genetics, Institute for Cancer Research, Radiumhospitalet, Oslo University Hospital, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Martha Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre NordLab, Oulu, Finland
| | | | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Julia A. Knight
- Prosserman Centre for Health Research, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - John W. M. Martens
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wei Lu
- Shanghai Center for Disease Control and Prevention, Shanghai, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology, University of Sheffield, Sheffield, UK
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - William Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States of America
- International Epidemiology Institute, Rockville, MD, United States of America
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, United States of America
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Patricia Harrington
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Surgery, National University Health System, Singapore, Singapore
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Maria Kabisch
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | | | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, IRRP, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - Chen-Yang Shen
- School of Public Health, China Medical University, Taichung, Taiwan
- Taiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Ming-Feng Hou
- Cancer Center and Department of Surgery, Chung-Ho Memorial Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Anthony Swerdlow
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Nick Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Jacques Simard
- Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Canada
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - 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
| | - 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
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Jonine D. Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Edinburgh Cancer Research UK Centre, University of Edinburgh, Edinburgh, UK
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20
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Chen L, Kang H, Jin GJ, Chen X, Zhang QY, Lao WT, Li R. The association between a novel polymorphism (rs1062577) in ESR1 and breast cancer susceptibility in the Han Chinese women. Gynecol Endocrinol 2016; 32:553-6. [PMID: 26850117 DOI: 10.3109/09513590.2016.1138462] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of the present study was to analyze the genetic association between the three estrogen receptor 1 (ESR1) single nucleotide polymorphisms (SNPs; rs1062577, rs2881766, and rs9479118) and breast cancer risk in Han Chinese women. METHODS/MATERIALS To investigate the possible association of genetic polymorphisms of any of the three ESR1 SNPs in breast cancer patients (n = 198) and healthy controls (n = 218) collected from the college hospital, peripheral blood mononuclear cells samples were analyzed by high-resolution melt-polymerase chain reaction. Odds ratios and 95% confidence intervals were used to evaluate the association between the ESR1 SNPs and breast cancer. RESULTS Patients genotyped AA for ESR1 rs1062577 showed increased breast cancer risk (p = 0.005). In the menarche at ≤ 13-year-old group, there were significant differences in alleles A versus T at rs1062577 and alleles G versus T at rs2881766 between the breast cancer group and the control group. In the > 13-year-old group, the AA genotype at rs1062577, the GG genotype at rs2881766, and the CC genotype at rs9479118 increased breast cancer susceptibility. CONCLUSIONS These results showed that the ESR1 rs1062577 polymorphism increased breast cancer risk in Han Chinese women, which might be used as a new SNP marker.
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Affiliation(s)
- Li Chen
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Hui Kang
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Guo-Jiang Jin
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Xin Chen
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Qing-Yang Zhang
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Wen-Ting Lao
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
| | - Rui Li
- a Department of Laboratory Medicine , The First Affiliated Hospital of China Medical University , Shenyang , Liaoning Province , China
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21
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Hang D, Zhou W, Jia M, Wang L, Zhou J, Yin Y, Ma H, Hu Z, Li N, Shen H. Genetic variants within microRNA-binding site of RAD51B are associated with risk of cervical cancer in Chinese women. Cancer Med 2016; 5:2596-601. [PMID: 27334422 PMCID: PMC5055154 DOI: 10.1002/cam4.797] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 04/30/2016] [Accepted: 05/19/2016] [Indexed: 12/19/2022] Open
Abstract
RAD51B plays a central role in homologous recombinational repair (HRR) of DNA double-strand breaks (DSBs), which is important to prevent genomic instability, a hallmark of cancer. Recent studies suggested that common genetic variants of RAD51B may contribute to cancer susceptibility. In this study, we aimed to investigate whether potentially functional variants within miRNA-binding sites of RAD51B are associated with risk of cervical cancer. A total of 1486 cervical cancer patients and 1536 cancer-free controls were enrolled, and two genetic variants, rs963917 (A > G) and rs963918 (T > C), were genotyped in all participants. Using multivariate logistic regression analyses, we found that G allele of rs963917 conferred lower risk of cervical cancer compared to A allele (adjusted OR = 0.89, 95% CI = 0.80-0.99, P = 0.039). Similarly, rs963918 allele C was associated with a decreased risk for cervical cancer compared with allele T (adjusted OR = 0.84, 95% CI = 0.74-0.94, P = 0.004). Haplotype analyses showed that haplotype GC was also correlated with lower risk (OR = 0.83, 95% CI = 0.73-0.95, P = 0.005) compared with the most common haplotype AT. In summary, our study suggested that miRNA-binding site genetic variants of RAD51B may modify the susceptibility to cervical cancer, which is important to identify individuals with differential risk for this malignancy and to improve the effectiveness of preventive intervention.
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Affiliation(s)
- Dong Hang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wen Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meiqun Jia
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lihua Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jing Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China
| | - Ni Li
- National Office for Cancer Prevention and Control, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China.
| | - Hongbin Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China. .,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
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22
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Pelttari LM, Khan S, Vuorela M, Kiiski JI, Vilske S, Nevanlinna V, Ranta S, Schleutker J, Winqvist R, Kallioniemi A, Dörk T, Bogdanova NV, Figueroa J, Pharoah PDP, Schmidt MK, Dunning AM, García-Closas M, Bolla MK, Dennis J, Michailidou K, Wang Q, Hopper JL, Southey MC, Rosenberg EH, Fasching PA, Beckmann MW, Peto J, dos-Santos-Silva I, Sawyer EJ, Tomlinson I, Burwinkel B, Surowy H, Guénel P, Truong T, Bojesen SE, Nordestgaard BG, Benitez J, González-Neira A, Neuhausen SL, Anton-Culver H, Brenner H, Arndt V, Meindl A, Schmutzler RK, Brauch H, Brüning T, Lindblom A, Margolin S, Mannermaa A, Hartikainen JM, Chenevix-Trench G, Van Dyck L, Janssen H, Chang-Claude J, Rudolph A, Radice P, Peterlongo P, Hallberg E, Olson JE, Giles GG, Milne RL, Haiman CA, Schumacher F, Simard J, Dumont M, Kristensen V, Borresen-Dale AL, Zheng W, Beeghly-Fadiel A, Grip M, Andrulis IL, Glendon G, Devilee P, Seynaeve C, Hooning MJ, Collée M, Cox A, Cross SS, Shah M, Luben RN, Hamann U, Torres D, Jakubowska A, Lubinski J, Couch FJ, Yannoukakos D, Orr N, Swerdlow A, Darabi H, Li J, Czene K, Hall P, Easton DF, Mattson J, Blomqvist C, Aittomäki K, Nevanlinna H. RAD51B in Familial Breast Cancer. PLoS One 2016; 11:e0153788. [PMID: 27149063 PMCID: PMC4858276 DOI: 10.1371/journal.pone.0153788] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Accepted: 04/04/2016] [Indexed: 02/02/2023] Open
Abstract
Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study was to investigate the role of RAD51B variants in breast cancer predisposition, particularly in the context of familial breast cancer in Finland. We sequenced the coding region of RAD51B in 168 Finnish breast cancer patients from the Helsinki region for identification of possible recurrent founder mutations. In addition, we studied the known rs999737, rs2588809, and rs1314913 SNPs and RAD51B haplotypes in 44,791 breast cancer cases and 43,583 controls from 40 studies participating in the Breast Cancer Association Consortium (BCAC) that were genotyped on a custom chip (iCOGS). We identified one putatively pathogenic missense mutation c.541C>T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.
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Affiliation(s)
- Liisa M. Pelttari
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sofia Khan
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mikko Vuorela
- Laboratory of Cancer Genetics and Tumor Biology, Cancer Research and Translational Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Johanna I. Kiiski
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Sara Vilske
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Viivi Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Salla Ranta
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Johanna Schleutker
- BioMediTech, University of Tampere, Tampere, Finland
- Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland
- Tyks Microbiology and Genetics, Department of Medical Genetics, Turku University Hospital, Turku, Finland
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Cancer Research and Translational Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
- Laboratory of Cancer Genetics and Tumor Biology, Northern Finland Laboratory Centre NordLab, Oulu, Finland
| | - Anne Kallioniemi
- BioMediTech, University of Tampere, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | | | - Jonine Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Paul D. P. Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of Melbourne, Melbourne, Australia
| | - Melissa C. Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Efraim H. Rosenberg
- Netherlands Cancer Institute, Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - 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 Los Angeles, Los Angeles, California, United States of America
| | - Matthias W. Beckmann
- Department of Gynaecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Julian Peto
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Isabel dos-Santos-Silva
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Elinor J. Sawyer
- Research Oncology, Guy’s Hospital, King's College London, London, United Kingdom
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Harald Surowy
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pascal Guénel
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif, France
- University Paris-Sud, Villejuif, France
| | - Thérèse Truong
- Environmental Epidemiology of Cancer, Center for Research in Epidemiology and Population Health, INSERM, Villejuif, France
- University Paris-Sud, Villejuif, France
| | - Stig E. Bojesen
- Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Børge G. Nordestgaard
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras, Valencia, Spain
| | - Anna González-Neira
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
| | - Susan L. Neuhausen
- Beckman Research Institute of City of Hope, Duarte, California, United States of America
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California Irvine, Irvine, California, United States of America
| | - 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
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - 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
| | - Hiltrud Brauch
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- 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
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sara Margolin
- Department of Oncology—Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Arto Mannermaa
- Cancer Center, Kuopio University Hospital, 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
| | - Jaana M. Hartikainen
- Cancer Center, Kuopio University Hospital, 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
| | | | - kConFab/AOCS Investigators
- Department of Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Peter MacCallum Cancer Center, The University of Melbourne, Melbourne, Australia
| | - Laurien Van Dyck
- Vesalius Research Center, VIB, Leuven, Belgium
- Laboratory for Translational Genetics, Department of Oncology, University of Leuven, Leuven, Belgium
| | - Hilde Janssen
- Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
| | - 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
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 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
| | - Paolo Peterlongo
- IFOM, Fondazione Istituto FIRC (Italian Foundation of Cancer Research) di Oncologia Molecolare, Milan, Italy
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Roger L. Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of Melbourne, Melbourne, Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Jacques Simard
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Canada
| | - Martine Dumont
- Genomics Center, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec City, Canada
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, 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
| | - Anne-Lise Borresen-Dale
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway
- K.G. Jebsen Center for Breast Cancer Research, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Alicia Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America
| | - Mervi Grip
- Department of Surgery, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Irene L. Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
| | - Gord Glendon
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Canada
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Caroline Seynaeve
- 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
| | - Margriet Collée
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Angela Cox
- Sheffield Cancer Research, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Robert N. Luben
- Clinical Gerontology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota, Colombia
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory, IRRP, National Centre for Scientific Research "Demokritos", Athens, Greece
| | - Nick Orr
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Hatef Darabi
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jingmei Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Johanna Mattson
- Department of Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Kristiina Aittomäki
- Department of Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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23
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Wadt KAW, Aoude LG, Golmard L, Hansen TVO, Sastre-Garau X, Hayward NK, Gerdes AM. Germline RAD51B truncating mutation in a family with cutaneous melanoma. Fam Cancer 2016; 14:337-40. [PMID: 25600502 DOI: 10.1007/s10689-015-9781-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Known melanoma predisposition genes only account for around 40% of high-density melanoma families. Other rare mutations are likely to play a role in melanoma predisposition. RAD51B plays an important role in DNA repair through homologous recombination, and inactivation of RAD51B has been implicated in tumorigenesis. Thus RAD51B is a good candidate melanoma susceptibility gene, and previously, a germline splicing mutation in RAD51B has been identified in a family with early-onset breast cancer. In order to find genetic variants associated with melanoma predisposition, whole-exome sequencing was carried out on blood samples from a three-case cutaneous melanoma family. We identified a novel germline RAD51B nonsense mutation, and we demonstrate reduced expression of RAD51B in melanoma cells indicating inactivation of RAD51B. This is only the second report of a germline truncating RAD51B mutation. While this case report is consistent with melanoma being part of the RAD51B cancer spectrum further population-based screening of large case-control sample series will be needed to definitively establish if this is the case.
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Affiliation(s)
- Karin A W Wadt
- Department of Clinical Genetics, Rigshospitalet, 4062, Blegdamsvej 9, 2100, Copenhagen, Denmark,
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24
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Gaudet MM, Barrdahl M, Lindström S, Travis RC, Auer PL, Buring JE, Chanock SJ, Eliassen AH, Gapstur SM, Giles GG, Gunter M, Haiman C, Hunter DJ, Joshi AD, Kaaks R, Khaw KT, Lee IM, Le Marchand L, Milne RL, Peeters PHM, Sund M, Tamimi R, Trichopoulou A, Weiderpass E, Yang XR, Prentice RL, Feigelson HS, Canzian F, Kraft P. Interactions between breast cancer susceptibility loci and menopausal hormone therapy in relationship to breast cancer in the Breast and Prostate Cancer Cohort Consortium. Breast Cancer Res Treat 2016; 155:531-40. [PMID: 26802016 PMCID: PMC5757510 DOI: 10.1007/s10549-016-3681-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 01/04/2016] [Indexed: 01/12/2023]
Abstract
Current use of menopausal hormone therapy (MHT) has important implications for postmenopausal breast cancer risk, and observed associations might be modified by known breast cancer susceptibility loci. To provide the most comprehensive assessment of interactions of prospectively collected data on MHT and 17 confirmed susceptibility loci with invasive breast cancer risk, a nested case-control design among eight cohorts within the NCI Breast and Prostate Cancer Cohort Consortium was used. Based on data from 13,304 cases and 15,622 controls, multivariable-adjusted logistic regression analyses were used to estimate odds ratios (OR) and 95 % confidence intervals (CI). Effect modification of current and past use was evaluated on the multiplicative scale. P values <1.5 × 10(-3) were considered statistically significant. The strongest evidence of effect modification was observed for current MHT by 9q31-rs865686. Compared to never users of MHT with the rs865686 GG genotype, the association between current MHT use and breast cancer risk for the TT genotype (OR 1.79, 95 % CI 1.43-2.24; P interaction = 1.2 × 10(-4)) was less than expected on the multiplicative scale. There are no biological implications of the sub-multiplicative interaction between MHT and rs865686. Menopausal hormone therapy is unlikely to have a strong interaction with the common genetic variants associated with invasive breast cancer.
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Affiliation(s)
- Mia M Gaudet
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA.
| | - Myrto Barrdahl
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sara Lindström
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, University of Oxford, UK
| | - Paul L Auer
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Julie E Buring
- Divisions of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Department of Ambulatory Care and Prevention, Harvard Medical School, Boston, MA, 02115, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
- Core Genotyping Facility Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - A Heather Eliassen
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Graham G Giles
- Cancer Epidemiology Centre Melbourne, Cancer Council Victoria, Carlton South, Melbourne, VIC, 3004, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Faculty of Medicine, Monash University, Melbourne, VIC, 3800, Australia
| | - Marc Gunter
- Department of Epidemiology Biostatistics, School of Public Health, Imperial College, South Kensington Campus, London, SW7 2AZ, UK
| | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Amit D Joshi
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK
| | - I-Min Lee
- Divisions of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Roger L Milne
- Cancer Epidemiology Centre Melbourne, Cancer Council Victoria, Carlton South, Melbourne, VIC, 3004, Australia
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Petra H M Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 6 NL-3508, Stratenum, The Netherlands
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, South Kensington Campus, London, SW7 2AZ, UK
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Surgery, Umeå University, 90185, Umeå, Sweden
| | - Rulla Tamimi
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 13 Kaisareias and Alexandroupoleos Street, 115 27, Athens, Greece
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, 9037, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Fridtjof Nansens vei 19, 0304, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 17177, Stockholm, Sweden
- Samfundet Folkhälsan, Topeliusgatan 20, 00250, Helsinki, Finland
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ross L Prentice
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA
| | | | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
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25
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Scarbrough PM, Weber RP, Iversen ES, Brhane Y, Amos CI, Kraft P, Hung RJ, Sellers TA, Witte JS, Pharoah P, Henderson BE, Gruber SB, Hunter DJ, Garber JE, Joshi AD, McDonnell K, Easton DF, Eeles R, Kote-Jarai Z, Muir K, Doherty JA, Schildkraut JM. A Cross-Cancer Genetic Association Analysis of the DNA Repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast, and Colorectal Cancer. Cancer Epidemiol Biomarkers Prev 2016; 25:193-200. [PMID: 26637267 PMCID: PMC4713268 DOI: 10.1158/1055-9965.epi-15-0649] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 10/05/2015] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND DNA damage is an established mediator of carcinogenesis, although genome-wide association studies (GWAS) have identified few significant loci. This cross-cancer site, pooled analysis was performed to increase the power to detect common variants of DNA repair genes associated with cancer susceptibility. METHODS We conducted a cross-cancer analysis of 60,297 single nucleotide polymorphisms, at 229 DNA repair gene regions, using data from the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) Network. Our analysis included data from 32 GWAS and 48,734 controls and 51,537 cases across five cancer sites (breast, colon, lung, ovary, and prostate). Because of the unavailability of individual data, data were analyzed at the aggregate level. Meta-analysis was performed using the Association analysis for SubSETs (ASSET) software. To test for genetic associations that might escape individual variant testing due to small effect sizes, pathway analysis of eight DNA repair pathways was performed using hierarchical modeling. RESULTS We identified three susceptibility DNA repair genes, RAD51B (P < 5.09 × 10(-6)), MSH5 (P < 5.09 × 10(-6)), and BRCA2 (P = 5.70 × 10(-6)). Hierarchical modeling identified several pleiotropic associations with cancer risk in the base excision repair, nucleotide excision repair, mismatch repair, and homologous recombination pathways. CONCLUSIONS Only three susceptibility loci were identified, which had all been previously reported. In contrast, hierarchical modeling identified several pleiotropic cancer risk associations in key DNA repair pathways. IMPACT Results suggest that many common variants in DNA repair genes are likely associated with cancer susceptibility through small effect sizes that do not meet stringent significance testing criteria.
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Affiliation(s)
- Peter M Scarbrough
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina. Cancer Prevention, Detection, and Control Research Program, Duke Cancer Institute, Durham, North Carolina. Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina
| | - Rachel Palmieri Weber
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina. Cancer Prevention, Detection, and Control Research Program, Duke Cancer Institute, Durham, North Carolina
| | - Edwin S Iversen
- Department of Statistical Science, Duke University, Durham, North Carolina
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | | | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - John S Witte
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California. Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Paul Pharoah
- Department of Oncology, University of Cambridge, Cambridge, United Kingdom. Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Brian E Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California. Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Stephen B Gruber
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California. Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts
| | - Judy E Garber
- Cancer Risk and Prevention Clinic, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Amit D Joshi
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts
| | - Kevin McDonnell
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California. Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Doug F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Ros Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom. Royal Marsden NHS Foundation Trust, London and Sutton, United Kingdom
| | - Zsofia Kote-Jarai
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom. Royal Marsden NHS Foundation Trust, London and Sutton, United Kingdom
| | - Kenneth Muir
- Institute of Population Health, University of Manchester, Manchester, United Kingdom. Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | | | - Joellen M Schildkraut
- Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina. Cancer Prevention, Detection, and Control Research Program, Duke Cancer Institute, Durham, North Carolina. Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
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26
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Polymorphisms of homologous recombination RAD51, RAD51B, XRCC2, and XRCC3 genes and the risk of prostate cancer. Anal Cell Pathol (Amst) 2015; 2015:828646. [PMID: 26339569 PMCID: PMC4538310 DOI: 10.1155/2015/828646] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Revised: 07/10/2015] [Accepted: 07/15/2015] [Indexed: 02/06/2023] Open
Abstract
Genetic polymorphisms in DNA repair genes may induce individual variations in DNA repair capacity, which may in turn contribute to the risk of cancer developing. Homologous recombination repair (HRR) plays a critical role in maintaining chromosomal integrity and protecting against carcinogenic factors. The aim of the present study was to evaluate the relationship between prostate cancer risk and the presence of single nucleotide polymorphisms (SNPs) in the genes involved in HRR, that is, RAD51 (rs1801320 and rs1801321), RAD51B (rs10483813 and rs3784099), XRCC2 (rs3218536), and XRCC3 (rs861539). Polymorphisms were analyzed by PCR-RFLP and Real-Time PCR in 101 patients with prostate adenocarcinoma and 216 age- and sex-matched controls. A significant relationship was detected between the RAD51 gene rs1801320 polymorphism and increased prostate cancer risk. Our results indicate that the RAD51 gene rs1801320 polymorphism may contribute to prostate cancer susceptibility in Poland.
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27
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Song N, Choi JY, Sung H, Jeon S, Chung S, Park SK, Han W, Lee JW, Kim MK, Lee JY, Yoo KY, Han BG, Ahn SH, Noh DY, Kang D. Prediction of breast cancer survival using clinical and genetic markers by tumor subtypes. PLoS One 2015; 10:e0122413. [PMID: 25867717 PMCID: PMC4395109 DOI: 10.1371/journal.pone.0122413] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2014] [Accepted: 02/20/2015] [Indexed: 12/20/2022] Open
Abstract
PURPOSE To identify the genetic variants associated with breast cancer survival, a genome-wide association study (GWAS) was conducted of Korean breast cancer patients. METHODS From the Seoul Breast Cancer Study (SEBCS), 3,226 patients with breast cancer (1,732 in the discovery and 1,494 in the replication set) were included in a two-stage GWAS on disease-free survival (DFS) by tumor subtypes based on hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2). The associations of the re-classified combined prognostic markers through recursive partitioning analysis (RPA) of DFS for breast cancer were assessed with the Cox proportional hazard model. The prognostic predictive values of the clinical and genetic models were evaluated by Harrell's C. RESULTS In the two-stage GWAS stratified by tumor subtypes, rs166870 and rs10825036 were consistently associated with DFS in the HR+ HER2- and HR- HER2- breast cancer subtypes, respectively (Prs166870 = 2.88 × 10(-7) and Prs10825036 = 3.54 × 10(-7) in the combined set). When patients were classified by the RPA in each subtype, genetic factors contributed significantly to differentiating the high risk group associated with DFS inbreast cancer, specifically the HR+ HER2- (P discovery=1.18 × 10(-8) and P replication = 2.08 × 10(-5)) and HR- HRE2- subtypes (P discovery = 2.35 × 10(-4) and P replication = 2.60 × 10(-2)). The inclusion of the SNPs tended to improve the performance of the prognostic models consisting of age, TNM stage and tumor subtypes based on ER, PR, and HER2 status. CONCLUSION Combined prognostic markers that include clinical and genetic factors by tumor subtypes could improve the prediction of survival in breast cancer.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Ji-Yeob Choi
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hyuna Sung
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Division of Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
| | - Sujee Jeon
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seokang Chung
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Sue K. Park
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Wonshik Han
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Jong Won Lee
- Department of Surgery, University of Ulsan College of Medicine and ASAN Medical Center, Seoul, Korea
| | - Mi Kyung Kim
- Division of Cancer Epidemiology and Management, National Cancer Center, Goyang-si, Gyeonggi-do, Korea
| | - Ji-Young Lee
- Cardiovascular Research Institute and Cardiovascular Genome Center, Yonsei University Health System, Seoul, Korea
| | - Keun-Young Yoo
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Bok-Ghee Han
- Center for Genome Science, Korea National Institute of Health, Osong, Korea
| | - Sei-Hyun Ahn
- Department of Surgery, University of Ulsan College of Medicine and ASAN Medical Center, Seoul, Korea
| | - Dong-Young Noh
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Daehee Kang
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- * E-mail:
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28
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Pelttari LM, Kiiski JI, Ranta S, Vilske S, Blomqvist C, Aittomäki K, Nevanlinna H. RAD51, XRCC3, and XRCC2 mutation screening in Finnish breast cancer families. SPRINGERPLUS 2015; 4:92. [PMID: 25918678 PMCID: PMC4404470 DOI: 10.1186/s40064-015-0880-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Accepted: 02/06/2015] [Indexed: 12/25/2022]
Abstract
Majority of the known breast cancer susceptibility genes have a role in DNA repair and the most important high-risk genes BRCA1 and BRCA2 are specifically involved in the homologous recombination repair (HRR) of DNA double-strand breaks. A central player in HRR is RAD51 that binds DNA at the damage site. The RAD51 paralogs RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3 facilitate the binding of RAD51 to DNA. While germline mutations in RAD51C and RAD51D are associated with high ovarian cancer risk and RAD51B polymorphisms with breast cancer, the contribution of RAD51, XRCC3, and XRCC2 is more unclear. To investigate the role of RAD51, XRCC3, and XRCC2 in breast cancer predisposition and to identify putative recurrent founder mutations in the Finnish population where such mutations have been observed in most of the currently known susceptibility genes, we screened 182 familial Finnish breast or ovarian cancer patients for germline variation in the RAD51and XRCC3 genes and 342 patients for variation in XRCC2, with a subset of the patients selected on the basis of decreased RAD51 protein expression on tumors. We also performed haplotype analyses for 1516 breast cancer cases and 1234 controls to assess the common variation in these genes. No pathogenic mutations were detected in any of the genes and the distribution of haplotypes was similar between cases and controls. Our results suggest that RAD51, XRCC3, and XRCC2 do not substantially contribute to breast cancer predisposition in the Finnish population.
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Affiliation(s)
- Liisa M Pelttari
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki, P.O. Box 700, FIN-00029 Helsinki, Finland
| | - Johanna I Kiiski
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki, P.O. Box 700, FIN-00029 Helsinki, Finland
| | - Salla Ranta
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki, P.O. Box 700, FIN-00029 Helsinki, Finland
| | - Sara Vilske
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki, P.O. Box 700, FIN-00029 Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, University of Helsinki and Helsinki University Hospital, P.O. Box 180, FIN-00029 Helsinki, Finland
| | - Kristiina Aittomäki
- Department of Clinical Genetics, University of Helsinki and Helsinki University Hospital, P.O. Box 160, FIN-00029 Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Biomedicum Helsinki, P.O. Box 700, FIN-00029 Helsinki, Finland
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29
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Fasching PA, Brucker SY, Fehm TN, Overkamp F, Janni W, Wallwiener M, Hadji P, Belleville E, Häberle L, Taran FA, Lüftner D, Lux MP, Ettl J, Müller V, Tesch H, Wallwiener D, Schneeweiss A. Biomarkers in Patients with Metastatic Breast Cancer and the PRAEGNANT Study Network. Geburtshilfe Frauenheilkd 2015; 75:41-50. [PMID: 25684786 DOI: 10.1055/s-0034-1396215] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2014] [Revised: 01/05/2015] [Accepted: 01/06/2015] [Indexed: 12/17/2022] Open
Abstract
Progress has been made in the treatment of metastatic breast cancer in recent decades, but very few therapies use patient or tumor-specific characteristics to tailor individualized treatment. More than ten years after the publication of the reference human genome sequence, analysis methods have improved enormously, fostering the hope that biomarkers can be used to individualize therapies and offer precise treatment based on tumor and patient characteristics. Biomarkers at every level of the system (genetics, epigenetics, gene expression, micro-RNA, proteomics and others) can be used for this. This has led to changes in clinical study designs, with drug developments often only focusing on small or very small subgroups of patients and tumors. The screening and registration of patients and their molecular tumor data has therefore become very important for the successful completion of clinical studies. This new form of medicine presents particular challenges for patients and physicians. Even in this new age of genome-wide analysis, the focus should still be on the patients' quality of life. This review summarizes recent developments and describes how the PRAEGNANT study network manages the aforementioned medical challenges and changes to create a professional infrastructure for patients and physicians.
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Affiliation(s)
- P A Fasching
- Frauenklinik des Universitätsklinikums Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen ; Wissenschaftliche Leitung PRAEGNANT-Studiennetzwerk
| | - S Y Brucker
- Forschungsinstitut für Frauengesundheit, Department für Frauengesundheit, Universitätsklinikum Tübingen, Eberhard Karls Universität Tübingen, Tübingen ; Wissenschaftliche Leitung PRAEGNANT-Studiennetzwerk
| | - T N Fehm
- Universitäts-Frauenklinik Düsseldorf, Heinrich-Heine Universität Düsseldorf, Düsseldorf
| | - F Overkamp
- Oncologianova GmbH Recklinghausen, Recklinghausen
| | - W Janni
- Universitätsfrauenklinik Ulm, Ulm
| | - M Wallwiener
- Universitätsfrauenklinik Heidelberg, Ruprecht-Karls-Universität Heidelberg, Heidelberg
| | - P Hadji
- Krankenhaus Nordwest, Klinik für Gynäkologie und Geburtshilfe, Frankfurt am Main
| | | | - L Häberle
- Frauenklinik des Universitätsklinikums Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen ; Unit of Biostatistics, Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen
| | - F-A Taran
- Universitäts-Frauenklinik, Department für Frauengesundheit, Universitätsklinikum Tübingen, Eberhard Karls Universität Tübingen, Tübingen
| | - D Lüftner
- Medizinische Klinik mit Schwerpunkt Hämatologie und Onkologie; Charité Campus Benjamin Franklin Berlin, Berlin
| | - M P Lux
- Frauenklinik des Universitätsklinikums Erlangen, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - J Ettl
- Abteilung Gynäkologie und Geburtshilfe, Klinikum rechts der Isar, Technische Universität München, Munich
| | - V Müller
- Klinik für Gynäkologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - H Tesch
- Onkologie Bethanien, Frankfurt am Main ; Studienleitung PRAEGNANT-Studie
| | - D Wallwiener
- Universitäts-Frauenklinik, Department für Frauengesundheit, Universitätsklinikum Tübingen, Eberhard Karls Universität Tübingen, Tübingen ; Studienleitung PRAEGNANT-Studie
| | - A Schneeweiss
- Universitätsfrauenklinik Ulm, Ulm ; Nationales Centrum für Tumorerkrankungen, Heidelberg
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Maass N, Schütz F, Fasching PA, Fehm T, Janni W, Kümmel S, Kolberg HC, Lüftner D, Wallwiener M, Lux MP. Breast Cancer Update 2014 - Focus on the Patient and the Tumour. Geburtshilfe Frauenheilkd 2015; 75:170-182. [PMID: 25797960 PMCID: PMC4361168 DOI: 10.1055/s-0035-1545704] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2015] [Revised: 01/27/2015] [Accepted: 01/27/2015] [Indexed: 02/06/2023] Open
Abstract
The therapy for patients with breast cancer has developed markedly in the past ten years. Our understanding of the molecular biology of tumours and the characteristics of the patients has shaped the recent advances. In this review we present the latest knowledge about the therapy for breast cancer. There are new tests and options not only in the field of anti-HER2 therapy but also in the management of triple negative and hormone receptor-positive patients. Comprehension of prognosis and therapeutic response to chemotherapies is little by little helping to define patient groups who will not respond to chemotherapy or who do not need treatment because their prognosis is extremely good. In the field of anti-HER2 therapy, work is continuing on the development of drugs suitable for and able to overcome trastuzumab resistance. For hormone receptor-positive cancers, we now have a better understanding of which therapy groups will benefit from which anti-endocrine drugs, and which will be able to overcome a possible resistance (treatment of the PI3K pathways, inhibition of the cell cycle). Molecular tests are still being evaluated with regard to the clinical situations in which they may have the greatest relevance for therapeutic decision-making; however, evidence is also increasing as to the fields in which good predictions for the prognosis can be obtained. On the whole, more work is needed to promote our understanding of the new developments in diagnostics and therapy and to involve both physicians and patients equally in the procedures.
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Affiliation(s)
- N. Maass
- Department of Gynecology and Obstetrics, University Hospital Aachen, Aachen
| | - F. Schütz
- Frauenklinik, Universitätsklinikum Heidelberg, Heidelberg
| | - P. A. Fasching
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen
| | - T. Fehm
- Department of Gynecology and Obstetrics, University Hospital Düsseldorf, Heinrich Heine Universität Düsseldorf, Düsseldorf
| | - W. Janni
- Frauenklinik, Klinikum der Universität Ulm, Ulm
| | - S. Kümmel
- Brustzentrum, Kliniken Essen Mitte, Evang. Huyssens-Stiftung/Knappschaft GmbH, Essen
| | - H.-C. Kolberg
- Klinik für Gynäkologie und Geburtshilfe, Marienhospital Bottrop, Bottrop
| | - D. Lüftner
- Medizinische Klinik und Poliklinik II, Campus Charité Mitte, Berlin
| | - M. Wallwiener
- Frauenklinik, Universitätsklinikum Heidelberg, Heidelberg
| | - M. P. Lux
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen
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Nyante SJ, Gammon MD, Kaufman JS, Bensen JT, Lin DY, Barnholtz-Sloan JS, Hu Y, He Q, Luo J, Millikan RC. Genetic variation in estrogen and progesterone pathway genes and breast cancer risk: an exploration of tumor subtype-specific effects. Cancer Causes Control 2014; 26:121-31. [PMID: 25421376 DOI: 10.1007/s10552-014-0491-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Accepted: 11/04/2014] [Indexed: 12/23/2022]
Abstract
PURPOSE To determine whether associations between estrogen pathway-related single nucleotide polymorphisms (SNPs) and breast cancer risk differ by molecular subtype, we evaluated associations between SNPs in cytochrome P450 family 19 subfamily A polypeptide 1 (CYP19A1), estrogen receptor (ESR1), 3-beta hydroxysteroid dehydrogenase type I (HSD3B1), 17-beta hydroxysteroid dehydrogenase type II (HSD17B2), progesterone receptor (PGR), and sex hormone-binding globulin (SHBG) and breast cancer risk in a case-control study in North Carolina. METHODS Cases (n = 1,972) were women 20-74 years old and diagnosed with breast cancer between 1993 and 2001. Population-based controls (n = 1,776) were frequency matched to cases by age and race. A total of 195 SNPs were genotyped, and linkage disequilibrium was evaluated using the r (2) statistic. Odds ratios (ORs) and 95 % confidence intervals (CIs) for associations with breast cancer overall and by molecular subtype were estimated using logistic regression. Monte Carlo methods were used to control for multiple comparisons; two-sided p values <3.3 × 10(-4) were statistically significant. Heterogeneity tests comparing the two most common subtypes, luminal A (n = 679) and basal-like (n = 200), were based on the Wald statistic. RESULTS ESR1 rs6914211 (AA vs. AT+TT, OR 2.24, 95 % CI 1.51-3.33), ESR1 rs985191 (CC vs. AA, OR 2.11, 95 % CI 1.43-3.13), and PGR rs1824128 (TT+GT vs. GG, OR 1.33, 95 % CI 1.14-1.55) were associated with risk after accounting for multiple comparisons. Rs6914211 and rs985191 were in strong linkage disequilibrium among controls (African-Americans r (2) = 0.70; whites r (2) = 0.95). There was no evidence of heterogeneity between luminal A and basal-like subtypes, and the three SNPs were also associated with elevated risk of the less common luminal B, HER2+/ER-, and unclassified subtypes. CONCLUSIONS ESR1 and PGR SNPs were associated with risk, but lack of heterogeneity between subtypes suggests variants in hormone-related genes may play similar roles in the etiology of breast cancer molecular subtypes.
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Affiliation(s)
- Sarah J Nyante
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA,
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Haynes B, Saadat N, Myung B, Shekhar MPV. Crosstalk between translesion synthesis, Fanconi anemia network, and homologous recombination repair pathways in interstrand DNA crosslink repair and development of chemoresistance. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2014; 763:258-66. [PMID: 25795124 DOI: 10.1016/j.mrrev.2014.11.005] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 11/10/2014] [Accepted: 11/11/2014] [Indexed: 12/12/2022]
Abstract
Bifunctional alkylating and platinum based drugs are chemotherapeutic agents used to treat cancer. These agents induce DNA adducts via formation of intrastrand or interstrand (ICL) DNA crosslinks, and DNA lesions of the ICL type are particularly toxic as they block DNA replication and/or DNA transcription. However, the therapeutic efficacies of these drugs are frequently limited due to the cancer cell's enhanced ability to repair and tolerate these toxic DNA lesions. This ability to tolerate and survive the DNA damage is accomplished by a set of specialized low fidelity DNA polymerases called translesion synthesis (TLS) polymerases since high fidelity DNA polymerases are unable to replicate the damaged DNA template. TLS is a crucial initial step in ICL repair as it synthesizes DNA across the lesion thus preparing the damaged DNA template for repair by the homologous recombination (HR) pathway and Fanconi anemia (FA) network, processes critical for ICL repair. Here we review the molecular features and functional roles of TLS polymerases, discuss the collaborative interactions and cross-regulation of the TLS DNA damage tolerance pathway, the FA network and the BRCA-dependent HRR pathway, and the impact of TLS hyperactivation on development of chemoresistance. Finally, since TLS hyperactivation results from overexpression of Rad6/Rad18 ubiquitinating enzymes (fundamental components of the TLS pathway), increased PCNA ubiquitination, and/or increased recruitment of TLS polymerases, the potential benefits of selectively targeting critical components of the TLS pathway for enhancing anti-cancer therapeutic efficacy and curtailing chemotherapy-induced mutagenesis are also discussed.
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Affiliation(s)
- Brittany Haynes
- Department of Oncology, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States; Karmanos Cancer Institute, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States
| | - Nadia Saadat
- Department of Oncology, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States; Karmanos Cancer Institute, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States
| | - Brian Myung
- Karmanos Cancer Institute, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States
| | - Malathy P V Shekhar
- Department of Oncology, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States; Karmanos Cancer Institute, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States; Department of Pathology, Wayne State University, 110 East Warren Avenue, Detroit, MI 48201, United States.
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Joshi AD, Lindström S, Hüsing A, Barrdahl M, VanderWeele TJ, Campa D, Canzian F, Gaudet MM, Figueroa JD, Baglietto L, Berg CD, Buring JE, Chanock SJ, Chirlaque MD, Diver WR, Dossus L, Giles GG, Haiman CA, Hankinson SE, Henderson BE, Hoover RN, Hunter DJ, Isaacs C, Kaaks R, Kolonel LN, Krogh V, Le Marchand L, Lee IM, Lund E, McCarty CA, Overvad K, Peeters PH, Riboli E, Schumacher F, Severi G, Stram DO, Sund M, Thun MJ, Travis RC, Trichopoulos D, Willett WC, Zhang S, Ziegler RG, Kraft P. Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium. Am J Epidemiol 2014; 180:1018-27. [PMID: 25255808 PMCID: PMC4224360 DOI: 10.1093/aje/kwu214] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2013] [Accepted: 07/18/2014] [Indexed: 12/31/2022] Open
Abstract
Additive interactions can have public health and etiological implications but are infrequently reported. We assessed departures from additivity on the absolute risk scale between 9 established breast cancer risk factors and 23 susceptibility single-nucleotide polymorphisms (SNPs) identified from genome-wide association studies among 10,146 non-Hispanic white breast cancer cases and 12,760 controls within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium. We estimated the relative excess risk due to interaction and its 95% confidence interval for each pairwise combination of SNPs and nongenetic risk factors using age- and cohort-adjusted logistic regression models. After correction for multiple comparisons, we identified a statistically significant relative excess risk due to interaction (uncorrected P = 4.51 × 10(-5)) between a SNP in the DNA repair protein RAD51 homolog 2 gene (RAD51L1; rs10483813) and body mass index (weight (kg)/height (m)(2)). We also compared additive and multiplicative polygenic risk prediction models using per-allele odds ratio estimates from previous studies for breast-cancer susceptibility SNPs and observed that the multiplicative model had a substantially better goodness of fit than the additive model.
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Affiliation(s)
- Amit D. Joshi
- Correspondence to Dr. Amit D. Joshi, Department of Epidemiology, Harvard School of Public Health, 655 Huntington Avenue, Building II, Room 205, Boston, MA 02115 (e-mail: )
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Park SL, Caberto CP, Lin Y, Goodloe RJ, Dumitrescu L, Love SA, Matise TC, Hindorff LA, Fowke JH, Schumacher FR, Beebe-Dimmer J, Chen C, Hou L, Thomas F, Deelman E, Han Y, Peters U, North KE, Heiss G, Crawford DC, Haiman CA, Wilkens LR, Bush WS, Kooperberg C, Cheng I, Le Marchand L. Association of cancer susceptibility variants with risk of multiple primary cancers: The population architecture using genomics and epidemiology study. Cancer Epidemiol Biomarkers Prev 2014; 23:2568-78. [PMID: 25139936 PMCID: PMC4221293 DOI: 10.1158/1055-9965.epi-14-0129] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Multiple primary cancers account for approximately 16% of all incident cancers in the United States. Although genome-wide association studies (GWAS) have identified many common genetic variants associated with various cancer sites, no study has examined the association of these genetic variants with risk of multiple primary cancers (MPC). METHODS As part of the National Human Genome Research Institute (NHGRI) Population Architecture using Genomics and Epidemiology (PAGE) study, we used data from the Multiethnic Cohort (MEC) and Women's Health Initiative (WHI). Incident MPC (IMPC) cases (n = 1,385) were defined as participants diagnosed with more than one incident cancer after cohort entry. Participants diagnosed with only one incident cancer after cohort entry with follow-up equal to or longer than IMPC cases served as controls (single-index cancer controls; n = 9,626). Fixed-effects meta-analyses of unconditional logistic regression analyses were used to evaluate the associations between 188 cancer risk variants and IMPC risk. To account for multiple comparisons, we used the false-positive report probability (FPRP) to determine statistical significance. RESULTS A nicotine dependence-associated and lung cancer variant, CHRNA3 rs578776 [OR, 1.16; 95% confidence interval (CI), 1.05-1.26; P = 0.004], and two breast cancer variants, EMBP1 rs11249433 and TOX3 rs3803662 (OR, 1.16; 95% CI, 1.04-1.28; P = 0.005 and OR, 1.13; 95% CI, 1.03-1.23; P = 0.006), were significantly associated with risk of IMPC. The associations for rs578776 and rs11249433 remained (P < 0.05) after removing subjects who had lung or breast cancers, respectively (P ≤ 0.046). These associations did not show significant heterogeneity by smoking status (Pheterogeneity ≥ 0.53). CONCLUSIONS Our study has identified rs578776 and rs11249433 as risk variants for IMPC. IMPACT These findings may help to identify genetic regions associated with IMPC risk.
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Affiliation(s)
- S Lani Park
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California.
| | | | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Robert J Goodloe
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee
| | - Logan Dumitrescu
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee. Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee
| | - Shelly-Ann Love
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Tara C Matise
- Department of Statistics and Biostatistics, Rutgers University, Piscataway, New Jersey
| | - Lucia A Hindorff
- Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Jay H Fowke
- Vanderbilt Epidemiology Center, Vanderbilt University, Nashville, Tennessee
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer Beebe-Dimmer
- School of Medicine, Wayne State University, Detroit, Michigan. Karmanos Cancer Institute, Detroit, Michigan
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Lifang Hou
- Department of Preventative Medicine, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Fridtjof Thomas
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Ewa Deelman
- USC Information Sciences Institute, University of Southern California, Marina del Rey, California
| | - Ying Han
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina. Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, California
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
| | - Dana C Crawford
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio
| | - Christopher A Haiman
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Lynne R Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - William S Bush
- Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
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Genetic polymorphism of ESR1 rs2881766 increases breast cancer risk in Korean women. J Cancer Res Clin Oncol 2014; 141:633-45. [DOI: 10.1007/s00432-014-1849-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Accepted: 10/04/2014] [Indexed: 11/25/2022]
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Lee PS, Fang J, Jessop L, Myers T, Raj P, Hu N, Wang C, Taylor PR, Wang J, Khan J, Jasin M, Chanock SJ. RAD51B Activity and Cell Cycle Regulation in Response to DNA Damage in Breast Cancer Cell Lines. BREAST CANCER-BASIC AND CLINICAL RESEARCH 2014; 8:135-44. [PMID: 25368520 PMCID: PMC4213955 DOI: 10.4137/bcbcr.s17766] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2014] [Revised: 07/17/2014] [Accepted: 07/18/2014] [Indexed: 12/12/2022]
Abstract
Common genetic variants mapping to two distinct regions of RAD51B, a paralog of RAD51, have been associated with breast cancer risk in genome-wide association studies (GWAS). RAD51B is a plausible candidate gene because of its established role in the homologous recombination (HR) process. How germline genetic variation in RAD51B confers susceptibility to breast cancer is not well understood. Here, we investigate the molecular function of RAD51B in breast cancer cell lines by knocking down RAD51B expression by small interfering RNA and treating cells with DNA-damaging agents, namely cisplatin, hydroxyurea, or methyl-methanesulfonate. Our results show that RAD51B-depleted breast cancer cells have increased sensitivity to DNA damage, reduced efficiency of HR, and altered cell cycle checkpoint responses. The influence of RAD51B on the cell cycle checkpoint is independent of its role in HR and further studies are required to determine whether these functions can explain the RAD51B breast cancer susceptibility alleles.
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Affiliation(s)
- Phoebe S Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jun Fang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lea Jessop
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Timothy Myers
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Preethi Raj
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Chaoyu Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jianjun Wang
- Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Javed Khan
- Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Jasin
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Feigelson HS, Goddard KAB, Hollombe C, Tingle SR, Gillanders EM, Mechanic LE, Nelson SA. Approaches to integrating germline and tumor genomic data in cancer research. Carcinogenesis 2014; 35:2157-63. [PMID: 25115441 DOI: 10.1093/carcin/bgu165] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Cancer is characterized by a diversity of genetic and epigenetic alterations occurring in both the germline and somatic (tumor) genomes. Hundreds of germline variants associated with cancer risk have been identified, and large amounts of data identifying mutations in the tumor genome that participate in tumorigenesis have been generated. Increasingly, these two genomes are being explored jointly to better understand how cancer risk alleles contribute to carcinogenesis and whether they influence development of specific tumor types or mutation profiles. To understand how data from germline risk studies and tumor genome profiling is being integrated, we reviewed 160 articles describing research that incorporated data from both genomes, published between January 2009 and December 2012, and summarized the current state of the field. We identified three principle types of research questions being addressed using these data: (i) use of tumor data to determine the putative function of germline risk variants; (ii) identification and analysis of relationships between host genetic background and particular tumor mutations or types; and (iii) use of tumor molecular profiling data to reduce genetic heterogeneity or refine phenotypes for germline association studies. We also found descriptive studies that compared germline and tumor genomic variation in a gene or gene family, and papers describing research methods, data sources, or analytical tools. We identified a large set of tools and data resources that can be used to analyze and integrate data from both genomes. Finally, we discuss opportunities and challenges for cancer research that integrates germline and tumor genomics data.
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Affiliation(s)
- Heather Spencer Feigelson
- Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA, Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA and Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Katrina A B Goddard
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA and
| | - Celine Hollombe
- Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA and
| | - Sharna R Tingle
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Elizabeth M Gillanders
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Leah E Mechanic
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
| | - Stefanie A Nelson
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
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Anderson WF, Rosenberg PS, Prat A, Perou CM, Sherman ME. How many etiological subtypes of breast cancer: two, three, four, or more? J Natl Cancer Inst 2014; 106:dju165. [PMID: 25118203 PMCID: PMC4148600 DOI: 10.1093/jnci/dju165] [Citation(s) in RCA: 177] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Revised: 05/01/2014] [Accepted: 05/13/2014] [Indexed: 12/11/2022] Open
Abstract
Breast cancer is a heterogeneous disease, divisible into a variable number of clinical subtypes. A fundamental question is how many etiological classes underlie the clinical spectrum of breast cancer? An etiological subtype reflects a grouping with a common set of causes, whereas a clinical subtype represents a grouping with similar prognosis and/or prediction. Herein, we review the evidence for breast cancer etiological heterogeneity. We then evaluate the etiological evidence with mRNA profiling data. A bimodal age distribution at diagnosis with peak frequencies near ages 50 and 70 years is a fundamental characteristic of breast cancer for important tumor features, clinical characteristics, risk factor profiles, and molecular subtypes. The bimodal peak frequencies at diagnosis divide breast cancer overall into a "mixture" of two main components in varying proportions in different cancer populations. The first breast cancer tends to arise early in life with modal age-at-diagnosis near 50 years and generally behaves aggressively. The second breast cancer occurs later in life with modal age near 70 years and usually portends a more indolent clinical course. These epidemiological and molecular data are consistent with a two-component mixture model and compatible with a hierarchal view of breast cancers arising from two main cell types of origin. Notwithstanding the potential added value of more detailed categorizations for personalized breast cancer treatment, we suggest that the development of better criteria to identify the two proposed etiologic classes would advance breast cancer research and prevention.
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Affiliation(s)
- William F Anderson
- Division of Cancer Epidemiology and Genetics Biostatistics Branch (WFA, PSR), and Division of Cancer Prevention (MES), National Cancer Institute, National Institutes of Health, Bethesda, MD; Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain (AP); Department of Genetics and Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC (CMP).
| | - Philip S Rosenberg
- Division of Cancer Epidemiology and Genetics Biostatistics Branch (WFA, PSR), and Division of Cancer Prevention (MES), National Cancer Institute, National Institutes of Health, Bethesda, MD; Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain (AP); Department of Genetics and Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC (CMP)
| | - Aleix Prat
- Division of Cancer Epidemiology and Genetics Biostatistics Branch (WFA, PSR), and Division of Cancer Prevention (MES), National Cancer Institute, National Institutes of Health, Bethesda, MD; Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain (AP); Department of Genetics and Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC (CMP)
| | - Charles M Perou
- Division of Cancer Epidemiology and Genetics Biostatistics Branch (WFA, PSR), and Division of Cancer Prevention (MES), National Cancer Institute, National Institutes of Health, Bethesda, MD; Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain (AP); Department of Genetics and Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC (CMP)
| | - Mark E Sherman
- Division of Cancer Epidemiology and Genetics Biostatistics Branch (WFA, PSR), and Division of Cancer Prevention (MES), National Cancer Institute, National Institutes of Health, Bethesda, MD; Translational Genomics Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain (AP); Department of Genetics and Pathology & Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC (CMP)
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Yu K, Zhang H, Wheeler W, Horne HN, Chen J, Figueroa JD. A robust association test for detecting genetic variants with heterogeneous effects. Biostatistics 2014; 16:5-16. [PMID: 25057183 DOI: 10.1093/biostatistics/kxu036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
One common strategy for detecting disease-associated genetic markers is to compare the genotype distributions between cases and controls, where cases have been diagnosed as having the disease condition. In a study of a complex disease with a heterogeneous etiology, the sampled case group most likely consists of people having different disease subtypes. If we conduct an association test by treating all cases as a single group, we maximize our chance of finding genetic risk factors with a homogeneous effect, regardless of the underlying disease etiology. However, this strategy might diminish the power for detecting risk factors whose effect size varies by disease subtype. We propose a robust statistical procedure to identify genetic risk factors that have either a uniform effect for all disease subtypes or heterogeneous effects across different subtypes, in situations where the subtypes are not predefined but can be characterized roughly by a set of clinical and/or pathologic markers. We demonstrate the advantage of the new procedure through numeric simulation studies and an application to a breast cancer study.
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Affiliation(s)
- Kai Yu
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, MD 20850, USA
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, MD 20850, USA
| | - William Wheeler
- Information Management Services, Inc., Rockville, MD 20892, USA
| | - Hisani N Horne
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, MD 20850, USA
| | - Jinbo Chen
- Department of Biostatistics and Epidemiology, School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, MD 20850, USA
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Purrington KS, Slager S, Eccles D, Yannoukakos D, Fasching PA, Miron P, Carpenter J, Chang-Claude J, Martin NG, Montgomery GW, Kristensen V, Anton-Culver H, Goodfellow P, Tapper WJ, Rafiq S, Gerty SM, Durcan L, Konstantopoulou I, Fostira F, Vratimos A, Apostolou P, Konstanta I, Kotoula V, Lakis S, Dimopoulos MA, Skarlos D, Pectasides D, Fountzilas G, Beckmann MW, Hein A, Ruebner M, Ekici AB, Hartmann A, Schulz-Wendtland R, Renner SP, Janni W, Rack B, Scholz C, Neugebauer J, Andergassen U, Lux MP, Haeberle L, Clarke C, Pathmanathan N, Rudolph A, Flesch-Janys D, Nickels S, Olson JE, Ingle JN, Olswold C, Slettedahl S, Eckel-Passow JE, Anderson S, Visscher DW, Cafourek VL, Sicotte H, Prodduturi N, Weiderpass E, Bernstein L, Ziogas A, Ivanovich J, Giles GG, Baglietto L, Southey M, Kosma VM, Fischer HP, Reed MW, Cross SS, Deming-Halverson S, Shrubsole M, Cai Q, Shu XO, Daly M, Weaver J, Ross E, Klemp J, Sharma P, Torres D, Rüdiger T, Wölfing H, Ulmer HU, Försti A, Khoury T, Kumar S, Pilarski R, Shapiro CL, Greco D, Heikkilä P, Aittomäki K, Blomqvist C, Irwanto A, Liu J, Pankratz VS, Wang X, Severi G, Mannermaa A, Easton D, Hall P, Brauch H, Cox A, Zheng W, Godwin AK, Hamann U, Ambrosone C, Toland AE, Nevanlinna H, Vachon CM, Couch FJ. Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer. Carcinogenesis 2014; 35:1012-9. [PMID: 24325915 PMCID: PMC4004200 DOI: 10.1093/carcin/bgt404] [Citation(s) in RCA: 114] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Revised: 11/04/2013] [Accepted: 11/27/2013] [Indexed: 11/14/2022] Open
Abstract
Triple-negative (TN) breast cancer is an aggressive subtype of breast cancer associated with a unique set of epidemiologic and genetic risk factors. We conducted a two-stage genome-wide association study of TN breast cancer (stage 1: 1529 TN cases, 3399 controls; stage 2: 2148 cases, 1309 controls) to identify loci that influence TN breast cancer risk. Variants in the 19p13.1 and PTHLH loci showed genome-wide significant associations (P < 5 × 10(-) (8)) in stage 1 and 2 combined. Results also suggested a substantial enrichment of significantly associated variants among the single nucleotide polymorphisms (SNPs) analyzed in stage 2. Variants from 25 of 74 known breast cancer susceptibility loci were also associated with risk of TN breast cancer (P < 0.05). Associations with TN breast cancer were confirmed for 10 loci (LGR6, MDM4, CASP8, 2q35, 2p24.1, TERT-rs10069690, ESR1, TOX3, 19p13.1, RALY), and we identified associations with TN breast cancer for 15 additional breast cancer loci (P < 0.05: PEX14, 2q24.1, 2q31.1, ADAM29, EBF1, TCF7L2, 11q13.1, 11q24.3, 12p13.1, PTHLH, NTN4, 12q24, BRCA2, RAD51L1-rs2588809, MKL1). Further, two SNPs independent of previously reported signals in ESR1 [rs12525163 odds ratio (OR) = 1.15, P = 4.9 × 10(-) (4)] and 19p13.1 (rs1864112 OR = 0.84, P = 1.8 × 10(-) (9)) were associated with TN breast cancer. A polygenic risk score (PRS) for TN breast cancer based on known breast cancer risk variants showed a 4-fold difference in risk between the highest and lowest PRS quintiles (OR = 4.03, 95% confidence interval 3.46-4.70, P = 4.8 × 10(-) (69)). This translates to an absolute risk for TN breast cancer ranging from 0.8% to 3.4%, suggesting that genetic variation may be used for TN breast cancer risk prediction.
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Affiliation(s)
| | - Susan Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Diana Eccles
- Faculty of Medicine, University of Southampton SO17 1BJ, Southampton, UK
| | - Drakoulis Yannoukakos
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | - Peter A. Fasching
- Department of Medicine, Division of Hematology/Oncology, University of California at Los Angeles, David Geffen School of Medicine, Los Angeles, CA 90095, USA
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Penelope Miron
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Jane Carpenter
- Australian Breast Cancer Tissue Bank, University of Sydney at the Westmead Millennium Institute, Westmead, New South Wales, NSW 2145 Australia
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Nicholas G. Martin
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Queensland, QLD 4006 Australia
| | - Grant W. Montgomery
- QIMR GWAS Collective, Queensland Institute of Medical Research, Brisbane, Queensland, QLD 4006 Australia
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo 0316, Norway
- Faculty of Medicine (Faculty Division Ahus), Universitetet i Oslo, Oslo 0316, Norway
| | - Hoda Anton-Culver
- Department of Epidemiology, University of California–Irvine, Irvine, CA 92697, USA
| | - Paul Goodfellow
- Washington University School of Medicine, Barnes-Jewish Hospital and Siteman Cancer Center, St Louis, MO 63110, USA
| | - William J. Tapper
- Faculty of Medicine, University of Southampton SO17 1BJ, Southampton, UK
| | - Sajjad Rafiq
- Faculty of Medicine, University of Southampton SO17 1BJ, Southampton, UK
| | - Susan M. Gerty
- Faculty of Medicine, University of Southampton SO17 1BJ, Southampton, UK
| | - Lorraine Durcan
- Faculty of Medicine, University of Southampton SO17 1BJ, Southampton, UK
| | - Irene Konstantopoulou
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | - Florentia Fostira
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | - Athanassios Vratimos
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | - Paraskevi Apostolou
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | - Irene Konstanta
- Molecular Diagnostics Laboratory INRASTES, National Centre for Scientific Research “Demokritos”, Athens 153 10, Greece
| | | | - Sotiris Lakis
- Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki 54124, Greece
| | - Meletios A. Dimopoulos
- Department of Clinical Therapeutics, “Alexandra” Hospital, University of Athens School of Medicine, Athens 115 27, Greece
| | - Dimosthenis Skarlos
- Second Department of Medical Oncology, “Metropolitan” Hospital, Athens 151 25, Greece
| | - Dimitrios Pectasides
- Second Department of Internal Medicine, Oncology Section, “Hippokration” Hospital, University of Athens School of Medicine, Athens 115 27, Greece
| | - George Fountzilas
- Department of Medical Oncology, “Papageorgiou” Hospital, Aristotle University of Thessaloniki School of Medicine, Thessaloniki 54124, Greece
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Alexander Hein
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | | | | | - Ruediger Schulz-Wendtland
- Institute of Diagnostic Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Stefan P. Renner
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Wolfgang Janni
- Department of Gynecology and Obstetrics, University Hospital Ulm, Ulm 89069, Germany
| | - Brigitte Rack
- Department of Gynecology and Obstetrics, University Hospital Ludwig Maximilians University, Campus Innenstadt, Munich 80539, Germany
| | - Christoph Scholz
- Department of Gynecology and Obstetrics, University Hospital Ulm, Ulm 89069, Germany
| | - Julia Neugebauer
- Department of Gynecology and Obstetrics, University Hospital Ludwig Maximilians University, Campus Innenstadt, Munich 80539, Germany
| | - Ulrich Andergassen
- Department of Gynecology and Obstetrics, University Hospital Ludwig Maximilians University, Campus Innenstadt, Munich 80539, Germany
| | - Michael P. Lux
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Lothar Haeberle
- Department of Gynecology and Obstetrics, University Breast Center Franconia, University Hospital Erlangen; Friedrich-Alexander University Erlangen-Nuremberg, Erlangen D-91012, Germany
| | - Christine Clarke
- Westmead Institute for Cancer Research, Sydney Medical School Westmead, University of Sydney at the Westmead Millennium Institute, Westmead, New South Wales NSW 2145, Australia
| | - Nirmala Pathmanathan
- Westmead Breast Cancer Institute, Westmead Hospital, Westmead, New South Wales NSW 2145, Australia
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Dieter Flesch-Janys
- Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Stefan Nickels
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Janet E. Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Curtis Olswold
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Seth Slettedahl
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | | | - S.Keith Anderson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Daniel W. Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Hugues Sicotte
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Naresh Prodduturi
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Elisabete Weiderpass
- Department of Community Medicine, University of Tromsø, Tromsø 9019, Norway
- Folkhälsan Research Cancer Centre, Helsinki 00250, Finland
- Cancer Registry of Norway, Oslo N-0304, Norway
| | - Leslie Bernstein
- Department of Population Sciences, Division of Cancer Etiology, Beckman Research Institute, City of Hope, Duarte 91010, USA
| | - Argyrios Ziogas
- Department of Epidemiology, University of California–Irvine, Irvine, CA 92697, USA
| | - Jennifer Ivanovich
- Washington University School of Medicine, Barnes-Jewish Hospital and Siteman Cancer Center, St Louis, MO 63110, USA
| | - Graham G. Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria VIC 3053, Australia
| | - Laura Baglietto
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria VIC 3053, Australia
| | - Melissa Southey
- Department of Pathology, The University of Melbourne, Melbourne, Victoria VIC 3053, Australia
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine; Biocenter Kuopio, Cancer Center of Eastern Finland, and Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, University of Eastern Finland, Kuopio 80130, Finland
| | - Hans-Peter Fischer
- Department of Pathology, Medical Faculty University Bonn, Bonn 53127, Germany
| | - The GENICA Network
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart and University of Tuebingen, Tuebingen 72074, Germany, 72074
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn 53127, Germany
- Institute for Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum D-44789, Germany
- Institute of Pathology, Medical Faculty of the University of Bonn, Bonn 53127, Germany
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Malcom W.R. Reed
- Department of Oncology, Cancer Research UK/Yorkshire Cancer Research Sheffield Cancer Research Centre and
| | - Simon S. Cross
- Department of Neuroscience, University of Sheffield, Sheffield S10 2TN, UK
| | - Sandra Deming-Halverson
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Martha Shrubsole
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Qiuyin Cai
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Xiao-Ou Shu
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Mary Daly
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA 19111-2497, USA
| | - JoEllen Weaver
- PennMed Biobank, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA
| | - Eric Ross
- Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA 19111-2497, USA
| | - Jennifer Klemp
- Department of Oncology/Hematology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Priyanka Sharma
- Department of Oncology/Hematology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Diana Torres
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
- Institute of Human Genetics, Pontificia University Javeriana, Bogota D.C. 11001000, Colombia
| | - Thomas Rüdiger
- Institute of Pathology, Städtisches Klinikum Karlsruhe, Karlsruhe 76133, Germany
| | - Heidrun Wölfing
- Institute of Pathology, Städtisches Klinikum Karlsruhe, Karlsruhe 76133, Germany
| | - Hans-Ulrich Ulmer
- Frauenklinik der Stadtklinik Baden-Baden, Baden-Baden 76530, Germany
| | - Asta Försti
- Center for Primary Health Care Research, University of Lund, Malmö 223 63, Sweden
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | | | - Shicha Kumar
- Department of Surgical Oncology, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Robert Pilarski
- Department of Internal Medicine, Division of Human Genetics and
| | - Charles L. Shapiro
- Department of Internal Medicine, Division of Medical Oncology, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | | | | | | | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Helsinki 00014, Finland
| | - Astrid Irwanto
- Human Genetics Division, Genome Institute of Singapore, Singapore 138672 Singapore
| | - Jianjun Liu
- Human Genetics Division, Genome Institute of Singapore, Singapore 138672 Singapore
| | | | - Xianshu Wang
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria VIC 3053, Australia
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine; Biocenter Kuopio, Cancer Center of Eastern Finland, and Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, University of Eastern Finland, Kuopio 80130, Finland
| | - Douglas Easton
- Department of Public Health and Primary Care, Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge CB2 1TN, UK
| | - Per Hall
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Hiltrud Brauch
- Dr Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart and University of Tuebingen, Tuebingen 72074, Germany, 72074
| | - Angela Cox
- Department of Oncology, Cancer Research UK/Yorkshire Cancer Research Sheffield Cancer Research Centre and
| | - Wei Zheng
- Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Andrew K. Godwin
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Ute Hamann
- Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
| | - Christine Ambrosone
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY 14263, USA
| | - Amanda Ewart Toland
- Departments of Internal Medicine and Molecular Virology, Immunology and Medical Genetics, Division of Human Cancer Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | | | - Celine M. Vachon
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Fergus J. Couch
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
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41
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Dong H, Gao Z, Li C, Wang J, Jin M, Rong H, Niu Y, Liu J. Analyzing 395,793 samples shows significant association between rs999737 polymorphism and breast cancer. Tumour Biol 2014; 35:6083-7. [PMID: 24729084 DOI: 10.1007/s13277-014-1805-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 02/26/2014] [Indexed: 01/30/2023] Open
Abstract
Large-scale genome-wide association studies (GWAS) have been conducted and reported the association between rs999737 polymorphism at 14q24.1 (RAD51L1) and breast cancer risk. Following studies investigated rs999737 polymorphism in European and Asian populations. However, some of these studies reported weak and no significant association. Here, we reevaluated this association using large-scale samples from previous 11 studies (n=395,793; 162,261 cases and 233,532 controls) from the PubMed database. We evaluated the genetic heterogeneity among the selected studies. The pooled odds ratio (OR) is calculated by the fixed effect model. All statistical tests for heterogeneity and meta-analysis were computed using R package. We did not identify significant heterogeneity among the included studies using the allele model (P=0.1314 and I (2)=33.4 %). We observed significant association between rs999737 and breast cancer using the allele model (P=2.47E - 35, OR=0.92, 95 % confidence interval (CI) 0.91-0.93). Our analysis further supports previous findings that the rs999737 polymorphism contributes to breast cancer susceptibility. We believe that our finding will be very useful for future genetic studies in breast cancer.
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Affiliation(s)
- Haiying Dong
- Institute of Pathology, Qiqihar Medical University, Qiqihar, 161006, China
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Sawyer E, Roylance R, Petridis C, Brook MN, Nowinski S, Papouli E, Fletcher O, Pinder S, Hanby A, Kohut K, Gorman P, Caneppele M, Peto J, dos Santos Silva I, Johnson N, Swann R, Dwek M, Perkins KA, Gillett C, Houlston R, Ross G, De Ieso P, Southey MC, Hopper JL, Provenzano E, Apicella C, Wesseling J, Cornelissen S, Keeman R, Fasching PA, Jud SM, Ekici AB, Beckmann MW, Kerin MJ, Marme F, Schneeweiss A, Sohn C, Burwinkel B, Guénel P, Truong T, Laurent-Puig P, Kerbrat P, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Milne RL, Perez JIA, Menéndez P, Benitez J, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Meindl A, Lichtner P, Schmutzler RK, Lochmann M, Brauch H, Fischer HP, Ko YD, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova NV, Dörk T, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Chenevix-Trench G, Lambrechts D, Weltens C, Van Limbergen E, Hatse S, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Radice P, Peterlongo P, Bonanni B, Volorio S, Giles GG, Severi G, Baglietto L, Mclean CA, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Simard J, Goldberg MS, Labrèche F, Dumont M, Kristensen V, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Kauppila S, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Devillee P, Tollenaar RAEM, Seynaeve CM, Kriege M, Figueroa J, Chanock SJ, Sherman ME, Hooning MJ, Hollestelle A, van den Ouweland AMW, van Deurzen CHM, Li J, Czene K, Humphreys K, Cox A, Cross SS, Reed MWR, Shah M, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Couch FJ, Hallberg E, González-Neira A, Pita G, Alonso MR, Tessier DC, Vincent D, Bacot F, Bolla MK, Wang Q, Dennis J, Michailidou K, Dunning AM, Hall P, Easton D, Pharoah P, Schmidt MK, Tomlinson I, Garcia-Closas M. Genetic predisposition to in situ and invasive lobular carcinoma of the breast. PLoS Genet 2014; 10:e1004285. [PMID: 24743323 PMCID: PMC3990493 DOI: 10.1371/journal.pgen.1004285] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 02/17/2014] [Indexed: 01/09/2023] Open
Abstract
Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09-1.18), P = 6.0 × 10(-10); P-het for ILC vs IDC ER+ tumors = 1.8 × 10(-4)). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P<0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, P-het = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11, rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but distinct etiological pathways within ER+ breast cancer between morphological subtypes.
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Affiliation(s)
- Elinor Sawyer
- Research Oncology, Division of Cancer Studies, Kings College London, Guy's Hospital, London, United Kingdom
| | - Rebecca Roylance
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Christos Petridis
- Research Oncology, Division of Cancer Studies, Kings College London, Guy's Hospital, London, United Kingdom
| | - Mark N. Brook
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom
| | - Salpie Nowinski
- Research Oncology, Division of Cancer Studies, Kings College London, Guy's Hospital, London, United Kingdom
| | - Efterpi Papouli
- Biomedical Research Centre, King's College London, Guy's Hospital, London, United Kingdom
| | - Olivia Fletcher
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Sarah Pinder
- Research Oncology, Division of Cancer Studies, Kings College London, Guy's Hospital, London, United Kingdom
| | - Andrew Hanby
- Leeds Institute of Molecular Medicine, St James's University Hospital, Leeds, United Kingdom
| | - Kelly Kohut
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Patricia Gorman
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Michele Caneppele
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Julian Peto
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
| | - Ruth Swann
- Department of Molecular and Applied Biosciences, University of Westminster, London, United Kingdom
| | - Miriam Dwek
- Department of Molecular and Applied Biosciences, University of Westminster, London, United Kingdom
| | - Katherine-Anne Perkins
- Department of Molecular and Applied Biosciences, University of Westminster, London, United Kingdom
| | - Cheryl Gillett
- Research Oncology, Division of Cancer Studies, Kings College London, Guy's Hospital, London, United Kingdom
| | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom
| | - Gillian Ross
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Paolo De Ieso
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Melissa C. Southey
- Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - John L. Hopper
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Elena Provenzano
- NIHR Cambridge Biomedical Research Centre, Addenbrookes Hospital, Cambridge, United Kingdom
| | - Carmel Apicella
- Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Jelle Wesseling
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Sten Cornelissen
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Renske Keeman
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Peter A. Fasching
- David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, University of California at Los Angeles, Los Angeles, California, United States of America
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Sebastian M. Jud
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Arif B. Ekici
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-EMN, Erlangen, Germany
| | - Michael J. Kerin
- Surgery, Clinical Science Institute, National University of Ireland, Galway, Ireland
| | - Federick Marme
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Andreas Schneeweiss
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases, University of Heidelberg, Heidelberg, Germany
| | - Christof Sohn
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
| | - Barbara Burwinkel
- Department of Obstetrics and Gynecology, University of Heidelberg, Heidelberg, Germany
- Molecular Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pascal Guénel
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- University Paris-Sud, UMRS 1018, Villejuif, France
| | - Therese Truong
- Inserm (National Institute of Health and Medical Research), CESP (Center for Research in Epidemiology and Population Health), U1018, Environmental Epidemiology of Cancer, Villejuif, France
- University Paris-Sud, UMRS 1018, Villejuif, France
| | | | - Pierre Kerbrat
- Centre Eugène Marquis, Department of Medical Oncology, Rennes, France
| | - Stig E. Bojesen
- Copenhagen General Population Study and Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Børge G. Nordestgaard
- Copenhagen General Population Study and Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Sune F. Nielsen
- Copenhagen General Population Study and Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Flyger
- Department of Breast Surgery, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Roger L. Milne
- Genetic & Molecular Epidemiology Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre [CNIO], Madrid, Spain
| | | | | | - Javier Benitez
- Human Genetics Group, Human Cancer Genetics Program, Spanish National Cancer Research Centre [CNIO], Madrid, Spain
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Aida Karina Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Alfons Meindl
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - Peter Lichtner
- Institute of Human Genetics, Technische Universität, Munich, Germany
| | - Rita K. Schmutzler
- Centre for Familial Breast and Ovarian Cancer and Centre for Integrated Oncology, University Hospital Cologne, Cologne, Germany
| | - Magdalena Lochmann
- Division of Gynaecology and Obstetrics, Technische Universität München, Munich, Germany
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Hans-Peter Fischer
- Institute of Pathology, Medical Faculty of the University of Bonn, Bonn, Germany
| | - Yon-Dschun Ko
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
| | - The GENICA Network
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- Institute for Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr-University Bochum (IPA), Bochum, Germany
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Taru A. Muranen
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Kristiina Aittomäki
- Department of Clinical Genetics, Helsinki University Central Hospital, Helsinki, Finland
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Central Hospital, Helsinki, Finland
| | | | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Sara Margolin
- Department of Oncology - Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Arto Mannermaa
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Joensuu, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
| | - Vesa Kataja
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Joensuu, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
| | - Veli-Matti Kosma
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Joensuu, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
| | - Jaana M. Hartikainen
- School of Medicine, Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Joensuu, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
| | | | | | - Diether Lambrechts
- Vesalius Research Center (VRC), VIB, Leuven, Belgium
- Department of Oncology, University of Leuven, Leuven, Belgium
| | | | | | - Sigrid Hatse
- University Hospital Gashuisberg, Leuven, Belgium
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anja Rudolph
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Petra Seibold
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dieter Flesch-Janys
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paolo Radice
- Unit of Molecular Bases of Genetic Risk and Genetic Testing, Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Tumori (INT), Milan, Italy
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy
| | - Paolo Peterlongo
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy
| | - Bernardo Bonanni
- Division of Cancer Prevention and Genetics, Istituto Europeo di Oncologia (IEO), Milan, Italy
| | - Sara Volorio
- IFOM, Fondazione Istituto FIRC di Oncologia Molecolare and Cogentech Cancer Genetic Test Laboratory, Milan, Italy
| | - Graham G. Giles
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Gianluca Severi
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Laura Baglietto
- Cancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Australia
- Centre for Molecular, Environmental, Genetic, and Analytic Epidemiology, The University of Melbourne, Melbourne, Australia
| | - Catriona A. Mclean
- Department of Pathology, The Alfred Hospital, Prahran, Victoria, Australia
| | - Christopher A. Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Brian E. Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Fredrick Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Loic Le Marchand
- Epidemiology Program, Cancer Research Center, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Jacques Simard
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec Research Center and Laval University, Quebec, Canada
| | - Mark S. Goldberg
- Department of Medicine, McGill University, Montreal, Quebec, Canada
- Division of Clinical Epidemiology, McGill University Health Centre, Royal Victoria Hospital, Montreal, Quebec, Canada
| | - France Labrèche
- Département de médecine sociale et préventive, Département de santé environnementale et santé au travail, Université de Montréal, Montreal, Quebec, Canada
| | - Martine Dumont
- Cancer Genomics Laboratory, Centre Hospitalier Universitaire de Québec Research Center and Laval University, Quebec, Canada
| | - Vessela Kristensen
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, Radiumhospitalet, Oslo, Norway
- Faculty of Medicine (Faculty Division Ahus), UiO, Oslo, Norway
| | - Robert Winqvist
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, NordLab/Oulu University Hospital, Oulu, Finland
| | - Katri Pylkäs
- Laboratory of Cancer Genetics and Tumor Biology, Department of Clinical Chemistry and Biocenter Oulu, University of Oulu, NordLab/Oulu University Hospital, Oulu, Finland
| | | | - Saila Kauppila
- Department of Oncology, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Irene L. Andrulis
- Ontario Cancer Genetics Network, Fred A. Litwin Center for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Julia A. Knight
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Gord Glendon
- Ontario Cancer Genetics Network, Fred A. Litwin Center for Cancer Genetics, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anna Marie Mulligan
- Laboratory Medicine Program, University Health Network, Toronto, Ontario; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Peter Devillee
- Department of Human Genetics & Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Rob A. E. M. Tollenaar
- Department of Surgical Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Caroline M. Seynaeve
- Family Cancer Clinic, Department of Medical Oncology, Erasmus MC-Daniel den Hoed Cancer Center, Rotterdam, The Netherlands
| | - Mieke Kriege
- Family Cancer Clinic, Department of Medical Oncology, Erasmus MC-Daniel den Hoed Cancer Center, Rotterdam, The Netherlands
| | - Jonine Figueroa
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Stephen J. Chanock
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Mark E. Sherman
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Maartje J. Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Antoinette Hollestelle
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | | | - Jingmei Li
- Human Genetics Division, Genome Institute of Singapore, Singapore
| | - Kamila Czene
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Keith Humphreys
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Angela Cox
- CRUK/YCR Sheffield Cancer Research Centre, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Simon S. Cross
- Academic Unit of Pathology, Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
| | - Malcolm W. R. Reed
- CRUK/YCR Sheffield Cancer Research Centre, Department of Oncology, University of Sheffield, Sheffield, United Kingdom
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Anna Jakubowska
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Jan Lubinski
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Katarzyna Jaworska-Bieniek
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
- Postgraduate School of Molecular Medicine, Warsaw Medical University, Warsaw, Poland
| | - Katarzyna Durda
- Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - Anthony Swerdlow
- Division of Genetics and Epidemiology and Division of Breast Cancer Research, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Alan Ashworth
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Nicholas Orr
- Breakthrough Breast Cancer Research Centre, Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Minouk Schoemaker
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Emily Hallberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Anna González-Neira
- Human Genotyping-CEGEN Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre [CNIO], Madrid, Spain
| | - Guillermo Pita
- Human Genotyping-CEGEN Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre [CNIO], Madrid, Spain
| | - M. Rosario Alonso
- Human Genotyping-CEGEN Unit, Human Cancer Genetics Program, Spanish National Cancer Research Centre [CNIO], Madrid, Spain
| | - Daniel C. Tessier
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Daniel Vincent
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Francois Bacot
- McGill University and Génome Québec Innovation Centre, Montréal, Québec, Canada
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Per Hall
- Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Doug Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Marjanka K. Schmidt
- Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics and Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Montserrat Garcia-Closas
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom
- Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
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Song N, Choi JY, Sung H, Chung S, Song M, Park SK, Han W, Lee JW, Kim MK, Yoo KY, Ahn SH, Noh DY, Kang D. Heterogeneity of epidemiological factors by breast tumor subtypes in Korean women: a case-case study. Int J Cancer 2014; 135:669-81. [PMID: 24916400 DOI: 10.1002/ijc.28685] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Accepted: 12/05/2013] [Indexed: 01/14/2023]
Abstract
Breast cancer is heterogeneous in clinical behavior by subtypes; however, it is unclear how this heterogeneity is related to epidemiological factors. To evaluate the differences in epidemiological factors by breast tumor subtypes, we investigated the associations of epidemiological factors between tumor subtypes in Korean women. From the Seoul Breast Cancer Study, a total of 3,058 patients with breast cancer were included in the analyses. Tumor subtypes were classified based on hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) statuses. The epidemiological factors of each subtype were compared through case-case analyses using multivariate a polytomous logistic regression model adjusted for age and recruiting centers. The distribution of the subtypes was as follows: 1,714 HR+ HER2- (56.0%), 414 HR+ HER2+ (13.5%), 423 HR- HER2+ (13.9%) and 507 HR- HER2- (16.6%) patients with breast cancer. There were significant differences in age, menopausal status, age at menarche, number of children, age at first full-term pregnancy (FFTP), duration of breastfeeding and duration of endogenous estrogen exposure between tumor subtypes (p < 0.05). Compared to HR+ HER2- patients, the other subtype patients showed more frequency in having more numbers of children and less frequency in having earlier menarche, later FFTP and longer endogenous estrogen exposure. Although HR- HER2+ patients were less obese, HR- HER2- patients were younger and more obese. In conclusion, age, body mass index and reproductive factors were differentially associated with breast tumor subtypes suggesting a possible distinct etiology for tumor progression.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
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44
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Horne HN, Sherman ME, Garcia-Closas M, Pharoah PD, Blows FM, Yang XR, Hewitt SM, Conway CM, Lissowska J, Brinton LA, Prokunina-Olsson L, Dawson SJ, Caldas C, Easton DF, Chanock SJ, Figueroa JD. Breast cancer susceptibility risk associations and heterogeneity by E-cadherin tumor tissue expression. Breast Cancer Res Treat 2014; 143:181-7. [PMID: 24292867 PMCID: PMC4159747 DOI: 10.1007/s10549-013-2771-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 11/09/2013] [Indexed: 10/26/2022]
Abstract
E-cadherin is involved in cell-cell adhesion and epithelial-to-mesenchymal transitions. In cancers, loss or inactivation of E-cadherin is associated with epithelial cell proliferation and invasion. Here, we sought to determine, if risk associations for 18 breast cancer susceptibility single nucleotide polymorphisms (SNPs) differed by E-cadherin tumor tissue expression in the Polish Breast Cancer Study (PBCS), using data on 1,347 invasive breast cancer cases and 2,366 controls. E-cadherin expression (low/high) was assessed using immunohistochemical staining of tumor tissue microarrays. Replication data on 2,006 cases and 6,714 controls from the Study of Epidemiology and Risk Factors in Cancer Heredity was used to follow-up promising findings from PBCS. In PBCS, we found the rs11249433 SNP at the 1p11.2 locus to be more strongly associated with risk of E-cadherin low tumors (OR = 1.30, 95 % CI = 1.08-1.56) than with E-cadherin high tumors [OR = 1.06, 95 % CI = 0.95-1.18; case-only p-heterogeneity (p-het) = 0.05]. Findings in PBCS for rs11249433 were replicated in SEARCH. Combined analyses of the two datasets for SNP rs11249433 revealed significant heterogeneity by E-cadherin expression (combined case-only p-het = 0.004). Further, among carriers of rs11249433, the highest risk was seen for E-cadherin low tumors that were ER-positive and of lobular histology. Our results in two independent data sets suggest that rs11249433, which is located between the NOTCH2 and FCGR1B genes within the 1p11.2 locus, is more strongly associated with risk of breast tumors with low or absent E-cadherin expression, and suggest that evaluation of E-cadherin tumor tissue expression may be useful in clarifying breast cancer risk factor associations.
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Affiliation(s)
- Hisani N Horne
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA,
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Maxwell KN, Nathanson KL. Common breast cancer risk variants in the post-COGS era: a comprehensive review. Breast Cancer Res 2013; 15:212. [PMID: 24359602 PMCID: PMC3978855 DOI: 10.1186/bcr3591] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Breast cancer has a strong heritable component, with approximately 15% of cases exhibiting a family history of the disease. Mutations in genes such as BRCA1, BRCA2 and TP53 lead to autosomal dominant inherited cancer susceptibility and confer a high lifetime risk of breast cancers. Identification of mutations in these genes through clinical genetic testing enables patients to undergo screening and prevention strategies, some of which provide overall survival benefit. In addition, a number of mutant alleles have been identified in genes such as CHEK2, PALB2, ATM and BRIP1, which often display incomplete penetrance and confer moderate lifetime risks of breast cancer. Studies are underway to determine how to use the identification of mutations in these genes to guide clinical practice. Altogether, however, mutations in high and moderate penetrance genes probably account for approximately 25% of familial breast cancer risk; the remainder may be due to mutations in as yet unidentified genes or lower penetrance variants. Common low penetrance alleles, which have been mainly identified through genome-wide association studies (GWAS), are generally present at 10 to 50% population frequencies and confer less than 1.5-fold increases in breast cancer risk. A number of single nucleotide polymorphisms (SNPs) have been identified and risk associations extensively replicated in populations of European ancestry, the number of which has substantially increased as a result of GWAS performed by the Collaborative Oncological Gene–environment Study consortium. It is now estimated that 28% of familial breast cancer risk is explained by common breast cancer susceptibility loci. In some cases, SNP associations may be specific to different subsets of women with breast cancer, as defined by ethnicity or estrogen receptor status. Although not yet clinically established, it is hoped that identification of common risk variants may eventually allow identification of women at higher risk of breast cancer and enable implementation of breast cancer screening, prevention or treatment strategies that provide clinical benefit.
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Wu HC, Delgado-Cruzata L, Machella N, Wang Q, Santella RM, Terry MB. DNA double-strand break repair genotype and phenotype and breast cancer risk within sisters from the New York site of the Breast Cancer Family Registry (BCFR). Cancer Causes Control 2013; 24:2157-68. [PMID: 24062231 DOI: 10.1007/s10552-013-0292-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2012] [Accepted: 09/13/2013] [Indexed: 12/11/2022]
Abstract
PURPOSE We previously observed that poor DNA repair phenotype is associated with increased breast cancer (BC) risk within families. Here, we examined whether genetic variation in double-strand break repair (DSBR) genes is associated with BC risk and if genotypes are related to phenotype in unaffected women. METHODS Using data from the New York site of the Breast Cancer Family Registry, we investigated 25 single-nucleotide polymorphism (SNPs) involved in DSBR using biospecimens from 337 BC cases and 410 unaffected sister controls. RESULTS Genotypes in XRCC4 were associated with BC risk, with ORs of 1.67 (95 % CI 1.01-2.76) for the combined GA/AA of rs1805377 and 1.69 (95 % CI 1.03-2.77) for rs1056503 TG/GG; these associations were no longer statistically significant in multivariable conditional logistic regression models. When examining the association of SNPs with phenotype, we found that genotypes of XRCC5 rs3834 and rs1051685, which were highly correlated with each other, were associated with end-joining (EJ) capacity; women with the XRCC5 rs3834 GA genotype had better DNA repair as measured by higher levels of EJ capacity (37.8 ± 14.1 % for GA vs. 27.9 ± 11.8 % for GG carriers p = 0.0006). Women with the AA genotype of BRCA1 rs799917 also had higher EJ capacity (35.1 ± 9.2 %) than those with GG (26.4 ± 10.1 %, p = 0.02). CONCLUSIONS Overall, we found that selected DSBR genotypes were associated with phenotype, although they were not associated with BC risk itself, suggesting that phenotypic measures are influenced by endogenous and exogenous factors across the life course and may be better markers than genotypic measures for ascertaining BC risk.
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Affiliation(s)
- Hui-Chen Wu
- Department of Epidemiology, Mailman School of Public Health of Columbia University, 722 West 168th St., 724A, New York, NY, 10032, USA
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Bogdanova N, Helbig S, Dörk T. Hereditary breast cancer: ever more pieces to the polygenic puzzle. Hered Cancer Clin Pract 2013; 11:12. [PMID: 24025454 PMCID: PMC3851033 DOI: 10.1186/1897-4287-11-12] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Accepted: 09/02/2013] [Indexed: 12/21/2022] Open
Abstract
Several susceptibility genes differentially impact on the lifetime risk for breast cancer. Technological advances over the past years have enabled the detection of genetic risk factors through high-throughput screening of large breast cancer case-control series. High- to intermediate penetrance alleles have now been identified in more than 20 genes involved in DNA damage signalling and repair, and more than 70 low-penetrance loci have been discovered through recent genome-wide association studies. In addition to classical germ-line mutation and single-nucleotide polymorphism, copy number variation and somatic mosaicism have been proposed as potential predisposing mechanisms. Many of the identified loci also appear to influence breast tumour characteristics such as estrogen receptor status. In this review, we briefly summarize present knowledge about breast cancer susceptibility genes and discuss their implications for risk prediction and clinical practice.
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Affiliation(s)
- Natalia Bogdanova
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
- Clinics of Radiation Oncology, Hannover Medical School, Hannover, Germany
| | - Sonja Helbig
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Thilo Dörk
- Clinics of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
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Assessing interactions between the association of common genetic variant at 1p11 (rs11249433) and hormone receptor status with breast cancer risk. PLoS One 2013; 8:e72487. [PMID: 23977306 PMCID: PMC3745461 DOI: 10.1371/journal.pone.0072487] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2013] [Accepted: 07/10/2013] [Indexed: 02/07/2023] Open
Abstract
Background The association between rs11249433 polymorphism on 1p11 and breast cancer (BC) has been widely evaluated since it was first identified through genome-wide association approach. However, the results have been inconclusive. To investigate this inconsistency, we performed a meta-analysis of all available studies dealing with the relationship between the 1p11-rs11249433 polymorphism and BC. Methods Databases including Pubmed, SCOPUS, ISI web of knowledge, Embase and Cochrane databases were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. The random-effects model was applied, addressing heterogeneity and publication bias. Results A total of 15 articles involving 90,291 cases and 137,525 controls were included. In a combined analysis, the summary per-allele odds ratio (OR) for BC of 1p11-rs11249433 polymorphism was 1.09 (95% CI: 1.06–1.12; P<10−5). Significant associations were also observed under dominant and recessive genetic models. In the subgroup analysis by ethnicity, significantly increased risks were found in Caucasians; whereas no significant associations were found among Asians and Africans. In addition, our data indicate that 1p11-rs11249433 polymorphism is involved in BC susceptibility and confer its effect primarily in estrogen receptor-positive and progesterone receptor-positive tumors. Conclusions In conclusion, this meta-analysis demonstrated that the G allele of 1p11-rs11249433 is a risk factor associated with increased breast cancer susceptibility, but these associations vary in different ethnic populations.
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Wu S, Cai J, Wang H, Zhang H, Yang W. Association between 1p11-rs11249433 polymorphism and breast cancer susceptibility: evidence from 15 case-control studies. PLoS One 2013; 8:e72526. [PMID: 23977314 PMCID: PMC3744559 DOI: 10.1371/journal.pone.0072526] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Accepted: 07/15/2013] [Indexed: 01/10/2023] Open
Abstract
Genome-wide association studies have identified SNP rs11249433 at chromosome 1p11 as a new breast cancer (BC) susceptibility locus in populations of European descent. Since then, the relationship between 1p11- rs11249433 and breast cancer has been reported in various ethnic groups; however, these studies have yielded inconsistent results. To investigate this inconsistency, we performed a meta-analysis of 15 studies involving a total of 90,154 cases and 137,238 controls for 1p11-rs11249433 polymorphism to evaluate its effect on genetic susceptibility for breast cancer. An overall random effects odds ratio of 1.09 (95% CI: 1.06-1.12, P<10-5) was found for rs11249433-G variant. Significant results were also observed for heterozygous (OR=1.09, 95% CI: 1.05-1.12, P<10-5) and homozygote (OR=1.14, 95% CI: 1.08-1.21, P<10-5). There was strong evidence of heterogeneity, which largely disappeared after stratification by ethnicity. After stratified by ethnicity, significant associations were found among Caucasians. However, no significant associations were detected among East Asian and African populations. In addition, we found that rs11249433 polymorphism on 1p11 confer risk, exclusively for ER-positive tumors with per-allele OR of 1.13 (95% CI: 1.08-1.18; P <10-5) compared to ER-negative tumors of 1.01 (95% CI: 0.98-1.04; P=0.49). Similar results were also observed when stratified by PR status. Our findings demonstrated that rs11249433-G allele is a risk-conferring factor for the development of breast cancer, especially in Caucasians.
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Affiliation(s)
- Sheng Wu
- Department of General Surgery, Zhongshan Hospital, Qingpu Branch, Fudan University, Shanghai, People’s Republic of China
| | - Jungang Cai
- Department of General Surgery, Zhongshan Hospital, Qingpu Branch, Fudan University, Shanghai, People’s Republic of China
| | - Hong Wang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- * E-mail: (HW); (HWZ)
| | - Hongwei Zhang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
- * E-mail: (HW); (HWZ)
| | - Weige Yang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
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Warren Andersen S, Trentham-Dietz A, Gangnon RE, Hampton JM, Figueroa JD, Skinner HG, Engelman CD, Klein BE, Titus LJ, Newcomb PA. The associations between a polygenic score, reproductive and menstrual risk factors and breast cancer risk. Breast Cancer Res Treat 2013; 140:427-34. [PMID: 23893088 DOI: 10.1007/s10549-013-2646-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Accepted: 07/18/2013] [Indexed: 11/30/2022]
Abstract
We evaluated whether 13 single nucleotide polymorphisms (SNPs) identified in genome-wide association studies interact with one another and with reproductive and menstrual risk factors in association with breast cancer risk. DNA samples and information on parity, breastfeeding, age at menarche, age at first birth, and age at menopause were collected through structured interviews from 1,484 breast cancer cases and 1,307 controls who participated in a population-based case-control study conducted in three US states. A polygenic score was created as the sum of risk allele copies multiplied by the corresponding log odds estimate. Logistic regression was used to test the associations between SNPs, the score, reproductive and menstrual factors, and breast cancer risk. Nonlinearity of the score was assessed by the inclusion of a quadratic term for polygenic score. Interactions between the aforementioned variables were tested by including a cross-product term in models. We confirmed associations between rs13387042 (2q35), rs4973768 (SLC4A7), rs10941679 (5p12), rs2981582 (FGFR2), rs3817198 (LSP1), rs3803662 (TOX3), and rs6504950 (STXBP4) with breast cancer. Women in the score's highest quintile had 2.2-fold increased risk when compared to women in the lowest quintile (95 % confidence interval: 1.67-2.88). The quadratic polygenic score term was not significant in the model (p = 0.85), suggesting that the established breast cancer loci are not associated with increased risk more than the sum of risk alleles. Modifications of menstrual and reproductive risk factors associations with breast cancer risk by polygenic score were not observed. Our results suggest that the interactions between breast cancer susceptibility loci and reproductive factors are not strong contributors to breast cancer risk.
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Affiliation(s)
- Shaneda Warren Andersen
- University of Wisconsin Carbone Cancer Center, 610 Walnut St, WARF Room 307, Madison, WI 53726, USA.
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