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Landowski M, Gogoi P, Ikeda S, Ikeda A. Roles of transmembrane protein 135 in mitochondrial and peroxisomal functions - implications for age-related retinal disease. FRONTIERS IN OPHTHALMOLOGY 2024; 4:1355379. [PMID: 38576540 PMCID: PMC10993500 DOI: 10.3389/fopht.2024.1355379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Aging is the most significant risk factor for age-related diseases in general, which is true for age-related diseases in the eye including age-related macular degeneration (AMD). Therefore, in order to identify potential therapeutic targets for these diseases, it is crucial to understand the normal aging process and how its mis-regulation could cause age-related diseases at the molecular level. Recently, abnormal lipid metabolism has emerged as one major aspect of age-related symptoms in the retina. Animal models provide excellent means to identify and study factors that regulate lipid metabolism in relation to age-related symptoms. Central to this review is the role of transmembrane protein 135 (TMEM135) in the retina. TMEM135 was identified through the characterization of a mutant mouse strain exhibiting accelerated retinal aging and positional cloning of the responsible mutation within the gene, indicating the crucial role of TMEM135 in regulating the normal aging process in the retina. Over the past decade, the molecular functions of TMEM135 have been explored in various models and tissues, providing insights into the regulation of metabolism, particularly lipid metabolism, through its action in multiple organelles. Studies indicated that TMEM135 is a significant regulator of peroxisomes, mitochondria, and their interaction. Here, we provide an overview of the molecular functions of TMEM135 which is crucial for regulating mitochondria, peroxisomes, and lipids. The review also discusses the age-dependent phenotypes in mice with TMEM135 perturbations, emphasizing the importance of a balanced TMEM135 function for the health of the retina and other tissues including the heart, liver, and adipose tissue. Finally, we explore the potential roles of TMEM135 in human age-related retinal diseases, connecting its functions to the pathobiology of AMD.
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Affiliation(s)
- Michael Landowski
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, United States
- McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, United States
| | - Purnima Gogoi
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, United States
| | - Sakae Ikeda
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, United States
- McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, United States
| | - Akihiro Ikeda
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, United States
- McPherson Eye Research Institute, University of Wisconsin-Madison, Madison, WI, United States
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Sun X, Reiner AS, Tran AP, Watt GP, Oh JH, Mellemkjær L, Lynch CF, Knight JA, John EM, Malone KE, Liang X, Woods M, Derkach A, Concannon P, Bernstein JL, Shu X. A genome-wide association study of contralateral breast cancer in the Women's Environmental Cancer and Radiation Epidemiology Study. Breast Cancer Res 2024; 26:16. [PMID: 38263039 PMCID: PMC10807183 DOI: 10.1186/s13058-024-01765-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 01/06/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Contralateral breast cancer (CBC) is the most common second primary cancer diagnosed in breast cancer survivors, yet the understanding of the genetic susceptibility of CBC, particularly with respect to common variants, remains incomplete. This study aimed to investigate the genetic basis of CBC to better understand this malignancy. FINDINGS We performed a genome-wide association analysis in the Women's Environmental Cancer and Radiation Epidemiology (WECARE) Study of women with first breast cancer diagnosed at age < 55 years including 1161 with CBC who served as cases and 1668 with unilateral breast cancer (UBC) who served as controls. We observed two loci (rs59657211, 9q32, SLC31A2/FAM225A and rs3815096, 6p22.1, TRIM31) with suggestive genome-wide significant associations (P < 1 × 10-6). We also found an increased risk of CBC associated with a breast cancer-specific polygenic risk score (PRS) comprised of 239 known breast cancer susceptibility single nucleotide polymorphisms (SNPs) (rate ratio per 1-SD change: 1.25; 95% confidence interval 1.14-1.36, P < 0.0001). The protective effect of chemotherapy on CBC risk was statistically significant only among patients with an elevated PRS (Pheterogeneity = 0.04). The AUC that included the PRS and known breast cancer risk factors was significantly elevated. CONCLUSIONS The present GWAS identified two previously unreported loci with suggestive genome-wide significance. We also confirm that an elevated risk of CBC is associated with a comprehensive breast cancer susceptibility PRS that is independent of known breast cancer risk factors. These findings advance our understanding of genetic risk factors involved in CBC etiology.
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Affiliation(s)
- Xiaohui Sun
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
- Department of Epidemiology, Zhejiang Chinese Medical University, Zhejiang, China
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
| | - Anh Phong Tran
- Department of Medical Physics, 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, 10017, USA
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lene Mellemkjær
- Diet, Cancer and Health, Danish Cancer Institute, Strandboulevarden 49, 2100, Copenhagen, Denmark
| | - Charles F Lynch
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, 52242, USA
| | - Julia A Knight
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Esther M John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Kathleen E Malone
- Epidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
| | - Meghan Woods
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
| | - Andriy Derkach
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
| | - Patrick Concannon
- Department of Pathology, Immunology and Laboratory Medicine, Genetics Institute, University of Florida, Gainesville, FL, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA
| | - Xiang Shu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10017, USA.
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Grinman DY, Boras-Granic K, Takyar FM, Dann P, Hens JR, Marmol C, Lee J, Choi J, Chodosh LA, Sola MEG, Wysolmerski JJ. PTHrP induces STAT5 activation, secretory differentiation and accelerates mammary tumor development. Breast Cancer Res 2022; 24:30. [PMID: 35440032 PMCID: PMC9020078 DOI: 10.1186/s13058-022-01523-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/29/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Parathyroid hormone-related protein (PTHrP) is required for embryonic breast development and has important functions during lactation, when it is produced by alveolar epithelial cells and secreted into the maternal circulation to mobilize skeletal calcium used for milk production. PTHrP is also produced by breast cancers, and GWAS studies suggest that it influences breast cancer risk. However, the exact functions of PTHrP in breast cancer biology remain unsettled. METHODS We developed a tetracycline-regulated, MMTV (mouse mammary tumor virus)-driven model of PTHrP overexpression in mammary epithelial cells (Tet-PTHrP mice) and bred these mice with the MMTV-PyMT (polyoma middle tumor-antigen) breast cancer model to analyze the impact of PTHrP overexpression on normal mammary gland biology and in breast cancer progression. RESULTS Overexpression of PTHrP in luminal epithelial cells caused alveolar hyperplasia and secretory differentiation of the mammary epithelium with milk production. This was accompanied by activation of Stat5 and increased expression of E74-like factor-5 (Elf5) as well as a delay in post-lactation involution. In MMTV-PyMT mice, overexpression of PTHrP (Tet-PTHrP;PyMT mice) shortened tumor latency and accelerated tumor growth, ultimately reducing overall survival. Tumors overproducing PTHrP also displayed increased expression of nuclear pSTAT5 and Elf5, increased expression of markers of secretory differentiation and milk constituents, and histologically resembled secretory carcinomas of the breast. Overexpression of PTHrP within cells isolated from tumors, but not PTHrP exogenously added to cell culture media, led to activation of STAT5 and milk protein gene expression. In addition, neither ablating the Type 1 PTH/PTHrP receptor (PTH1R) in epithelial cells nor treating Tet-PTHrP;PyMT mice with an anti-PTH1R antibody prevented secretory differentiation or altered tumor latency. These data suggest that PTHrP acts in a cell-autonomous, intracrine manner. Finally, expression of PTHrP in human breast cancers is associated with expression of genes involved in milk production and STAT5 signaling. CONCLUSIONS Our study suggests that PTHrP promotes pathways leading to secretory differentiation and proliferation in both normal mammary epithelial cells and in breast tumor cells.
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Affiliation(s)
- Diego Y Grinman
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, TAC S120, Box 208020, New Haven, CT, 06520-8020, USA.
| | - Kata Boras-Granic
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, TAC S120, Box 208020, New Haven, CT, 06520-8020, USA
| | - Farzin M Takyar
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Pamela Dann
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, TAC S120, Box 208020, New Haven, CT, 06520-8020, USA
| | - Julie R Hens
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, TAC S120, Box 208020, New Haven, CT, 06520-8020, USA
| | | | - Jongwon Lee
- Brain Korea 21 Plus Project for Biomedical Science, Korea University College of Medicine, Seoul, Korea
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.,Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Lewis A Chodosh
- Department of Cancer Biology, Perlman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Martin E Garcia Sola
- Departamento de Fisiología y Biología Molecular y Celular, Instituto de Fisiología, Biología Molecular y Neurociencias (IFIByNE), CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - John J Wysolmerski
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale School of Medicine, 300 Cedar Street, TAC S120, Box 208020, New Haven, CT, 06520-8020, USA
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Beasley HK, Rodman TA, Collins GV, Hinton A, Exil V. TMEM135 is a Novel Regulator of Mitochondrial Dynamics and Physiology with Implications for Human Health Conditions. Cells 2021; 10:cells10071750. [PMID: 34359920 PMCID: PMC8303332 DOI: 10.3390/cells10071750] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/05/2021] [Accepted: 07/06/2021] [Indexed: 12/16/2022] Open
Abstract
Transmembrane proteins (TMEMs) are integral proteins that span biological membranes. TMEMs function as cellular membrane gates by modifying their conformation to control the influx and efflux of signals and molecules. TMEMs also reside in and interact with the membranes of various intracellular organelles. Despite much knowledge about the biological importance of TMEMs, their role in metabolic regulation is poorly understood. This review highlights the role of a single TMEM, transmembrane protein 135 (TMEM135). TMEM135 is thought to regulate the balance between mitochondrial fusion and fission and plays a role in regulating lipid droplet formation/tethering, fatty acid metabolism, and peroxisomal function. This review highlights our current understanding of the various roles of TMEM135 in cellular processes, organelle function, calcium dynamics, and metabolism.
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Affiliation(s)
- Heather K. Beasley
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA; (H.K.B.); (T.A.R.)
| | - Taylor A. Rodman
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA; (H.K.B.); (T.A.R.)
| | - Greg V. Collins
- Fraternal Order of Eagles Diabetes Research Center, Iowa City, IA 52242, USA;
- Department of Pediatrics-Cardiology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Antentor Hinton
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA; (H.K.B.); (T.A.R.)
- Correspondence: (A.H.J.); (V.E.)
| | - Vernat Exil
- Fraternal Order of Eagles Diabetes Research Center, Iowa City, IA 52242, USA;
- Department of Pediatrics-Cardiology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
- Correspondence: (A.H.J.); (V.E.)
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Wang H, Liu H, Dai W, Luo S, Amos CI, Lee JE, Li X, Yue Y, Nan H, Wei Q. Association of genetic variants of TMEM135 and PEX5 in the peroxisome pathway with cutaneous melanoma-specific survival. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:396. [PMID: 33842617 PMCID: PMC8033299 DOI: 10.21037/atm-20-2117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background Peroxisomes are ubiquitous and dynamic organelles that are involved in the metabolism of reactive oxygen species (ROS) and lipids. However, whether genetic variants in the peroxisome pathway genes are associated with survival in patients with melanoma has not been established. Therefore, our aim was to identify additional genetic variants in the peroxisome pathway that may provide new prognostic biomarkers for cutaneous melanoma (CM). Methods We assessed the associations between 8,397 common single-nucleotide polymorphisms (SNPs) in 88 peroxisome pathway genes and CM disease-specific survival (CMSS) in a two-stage analysis. For the discovery, we extracted the data from a published genome-wide association study from The University of Texas MD Anderson Cancer Center (MDACC). We then replicated the results in another dataset from the Nurse Health Study (NHS)/Health Professionals Follow-up Study (HPFS). Results Overall, 95 (11.1%) patients in the MDACC dataset and 48 (11.7%) patients in the NHS/HPFS dataset died of CM. We found 27 significant SNPs in the peroxisome pathway genes to be associated with CMSS in both datasets after multiple comparison correction using the Bayesian false-discovery probability method. In stepwise Cox proportional hazards regression analysis, with adjustment for other covariates and previously published SNPs in the MDACC dataset, we identified 2 independent SNPs (TMEM135 rs567403 C>G and PEX5 rs7969508 A>G) that predicted CMSS (P=0.003 and 0.031, respectively, in an additive genetic model). The expression quantitative trait loci analysis further revealed that the TMEM135 rs567403 GG and PEX5 rs7969508 GG genotypes were associated with increased and decreased levels of mRNA expression of their genes, respectively. Conclusions Once our findings are replicated by other investigators, these genetic variants may serve as novel biomarkers for the prediction of survival in patients with CM.
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Affiliation(s)
- Haijiao Wang
- Department of Gynecology Oncology, The First Hospital of Jilin University, Changchun, Jilin, China.,Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Hongliang Liu
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Wei Dai
- Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Sheng Luo
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey E Lee
- Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Xin Li
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Ying Yue
- Department of Gynecology Oncology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Hongmei Nan
- Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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6
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Kramer I, Hooning MJ, Mavaddat N, Hauptmann M, Keeman R, Steyerberg EW, Giardiello D, Antoniou AC, Pharoah PDP, Canisius S, Abu-Ful Z, Andrulis IL, Anton-Culver H, Aronson KJ, Augustinsson A, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Bremer M, Brucker SY, Burwinkel B, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Choi JY, Clarke CL, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Evans DG, Fasching PA, Flyger H, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Giles GG, Goldgar DE, González-Neira A, Haiman CA, Håkansson N, Hamann U, Hartman M, Heemskerk-Gerritsen BAM, Hollestelle A, Hopper JL, Hou MF, Howell A, Ito H, Jakimovska M, Jakubowska A, Janni W, John EM, Jung A, Kang D, Kets CM, Khusnutdinova E, Ko YD, Kristensen VN, Kurian AW, Kwong A, Lambrechts D, Le Marchand L, Li J, Lindblom A, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Meindl A, Milne RL, Mulligan AM, Muranen TA, Neuhausen SL, Nevanlinna H, Newman WG, Olshan AF, Olson JE, Olsson H, Park-Simon TW, Peto J, Petridis C, Plaseska-Karanfilska D, Presneau N, Pylkäs K, Radice P, Rennert G, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmutzler RK, Schwentner L, Scott C, See MH, Shah M, Shen CY, Shu XO, Siesling S, Slager S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tapper WJ, Tengström M, Teo SH, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Vachon CM, van Ongeval C, van Veen EM, Winqvist R, Wolk A, Zheng W, Ziogas A, Easton DF, Hall P, Schmidt MK. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk. Am J Hum Genet 2020; 107:837-848. [PMID: 33022221 PMCID: PMC7675034 DOI: 10.1016/j.ajhg.2020.09.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 09/02/2020] [Indexed: 12/18/2022] Open
Abstract
Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS313) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS313 was quantified using Cox regression analyses. We assessed PRS313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10th percentile and 20.5% at the 90th percentile of PRS313. We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies.
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Affiliation(s)
- Iris Kramer
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Pathology, Amsterdam 1066 CX, the Netherlands
| | - Maartje J Hooning
- Erasmus MC Cancer Institute, Department of Medical Oncology, Rotterdam 3015 CN, the Netherlands
| | - Nasim Mavaddat
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge CB1 8RN, UK
| | - Michael Hauptmann
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Department of Epidemiology and Biostatistics, Amsterdam 1066 CX, the Netherlands; Brandenburg Medical School Theodor Fontane, Institute of Biostatistics and Registry Research, Neuruppin 16816, Germany
| | - Renske Keeman
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Pathology, Amsterdam 1066 CX, the Netherlands
| | - Ewout W Steyerberg
- Leiden University Medical Center, Department of Biomedical Data Sciences, Leiden 2333 ZA, the Netherlands; Erasmus MC, Department of Public Health, Rotterdam 3015 GD, the Netherlands
| | - Daniele Giardiello
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Pathology, Amsterdam 1066 CX, the Netherlands; Leiden University Medical Center, Department of Biomedical Data Sciences, Leiden 2333 ZA, the Netherlands
| | - Antonis C Antoniou
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge CB1 8RN, UK
| | - Paul D P Pharoah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge CB1 8RN, UK; University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge CB1 8RN, UK
| | - Sander Canisius
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Pathology, Amsterdam 1066 CX, the Netherlands; The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Carcinogenesis, Amsterdam 1066 CX, the Netherlands
| | - Zumuruda Abu-Ful
- Carmel Medical Center and Technion Faculty of Medicine, Clalit National Cancer Control Center, Haifa 35254, Israel
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Fred A. Litwin Center for Cancer Genetics, Toronto, ON M5G 1X5, Canada; University of Toronto, Department of Molecular Genetics, Toronto, ON M5S 1A8, Canada
| | - Hoda Anton-Culver
- University of California Irvine, Department of Epidemiology, Genetic Epidemiology Research Institute, Irvine, CA 92617, USA
| | - Kristan J Aronson
- Queen's University, Department of Public Health Sciences, and Cancer Research Institute, Kingston, ON K7L 3N6, Canada
| | - Annelie Augustinsson
- Lund University, Department of Cancer Epidemiology, Clinical Sciences, Lund 222 42, Sweden
| | - Heiko Becher
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg 20246, Germany; Charité -Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology, Berlin 10117, Germany
| | - Matthias W Beckmann
- University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, Erlangen 91054, Germany
| | - Sabine Behrens
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg 69120, Germany
| | - Javier Benitez
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid 28029, Spain; Spanish National Cancer Research Centre (CNIO), Human Cancer Genetics Programme, Madrid 28029, Spain
| | - Marina Bermisheva
- Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa 450054, Russia
| | - Natalia V Bogdanova
- Hannover Medical School, Department of Radiation Oncology, Hannover 30625, Germany; Hannover Medical School, Gynaecology Research Unit, Hannover 30625, Germany; N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk 223040, Belarus
| | - Stig E Bojesen
- Copenhagen University Hospital, Copenhagen General Population Study, Herlev and Gentofte Hospital, Herlev 2730, Denmark; Copenhagen University Hospital, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Herlev 2730, Denmark; University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2200, Denmark
| | - Manjeet K Bolla
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge CB1 8RN, UK
| | - Bernardo Bonanni
- IEO, European Institute of Oncology IRCCS, Division of Cancer Prevention and Genetics, Milan 20141, Italy
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart 70376, Germany; University of Tübingen, iFIT-Cluster of Excellence, Tübingen 72074, Germany; German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Partner Site Tübingen, Tübingen 72074, Germany
| | - Michael Bremer
- Hannover Medical School, Department of Radiation Oncology, Hannover 30625, Germany
| | - Sara Y Brucker
- University of Tübingen, Department of Gynecology and Obstetrics, Tübingen 72076, Germany
| | - Barbara Burwinkel
- German Cancer Research Center (DKFZ), Molecular Epidemiology Group, C080, Heidelberg 69120, Germany; University of Heidelberg, Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, Heidelberg 69120, Germany
| | - Jose E Castelao
- Instituto de Investigacion Sanitaria Galicia Sur (IISGS), Xerencia de Xestion Integrada de Vigo-SERGAS, Oncology and Genetics Unit, Vigo 36312, Spain
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong; Hong Kong Sanatorium and Hospital, Department of Pathology, Happy Valley, Hong Kong
| | - Jenny Chang-Claude
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg 69120, Germany; University Medical Center Hamburg-Eppendorf, Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), Hamburg 20246, Germany
| | - Stephen J Chanock
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD 20850, USA
| | - Georgia Chenevix-Trench
- QIMR Berghofer Medical Research Institute, Department of Genetics and Computational Biology, Brisbane, QLD 4006, Australia
| | - Ji-Yeob Choi
- Seoul National University Graduate School, Department of Biomedical Sciences, Seoul 03080, Korea; Seoul National University, Cancer Research Institute, Seoul 03080, Korea
| | - Christine L Clarke
- University of Sydney, Westmead Institute for Medical Research, Sydney, NSW 2145, Australia
| | - J Margriet Collée
- Erasmus University Medical Center, Department of Clinical Genetics, Rotterdam 3015 CN, the Netherlands
| | - Fergus J Couch
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN 55905, USA
| | - Angela Cox
- University of Sheffield, Sheffield Institute for Nucleic Acids (SInFoNiA), Department of Oncology and Metabolism, Sheffield S10 2TN, UK
| | - Simon S Cross
- University of Sheffield, Academic Unit of Pathology, Department of Neuroscience, Sheffield S10 2TN, UK
| | - Kamila Czene
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm 171 65, Sweden
| | - Mary B Daly
- Fox Chase Cancer Center, Department of Clinical Genetics, Philadelphia, PA 19111, USA
| | - Peter Devilee
- Leiden University Medical Center, Department of Pathology, Leiden 2333 ZA, the Netherlands; Leiden University Medical Center, Department of Human Genetics, Leiden 2333 ZA, the Netherlands
| | - Thilo Dörk
- Hannover Medical School, Gynaecology Research Unit, Hannover 30625, Germany
| | - Isabel Dos-Santos-Silva
- London School of Hygiene and Tropical Medicine, Department of Non-Communicable Disease Epidemiology, London WC1E 7HT, UK
| | - Alison M Dunning
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge CB1 8RN, UK
| | - Miriam Dwek
- University of Westminster, School of Life Sciences, London W1B 2HW, UK
| | - Diana M Eccles
- University of Southampton, Faculty of Medicine, Southampton SO17 1BJ, UK
| | - D Gareth Evans
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester M13 9WL, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester M13 9WL, UK
| | - Peter A Fasching
- University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Department of Gynecology and Obstetrics, Comprehensive Cancer Center ER-EMN, Erlangen 91054, Germany; University of California at Los Angeles, David Geffen School of Medicine, Department of Medicine Division of Hematology and Oncology, Los Angeles, CA 90095, USA
| | - Henrik Flyger
- Copenhagen University Hospital, Department of Breast Surgery, Herlev and Gentofte Hospital, Herlev 2730, Denmark
| | - Manuela Gago-Dominguez
- Grupo de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Galega de Medicina Xenómica, Santiago de Compostela 15706, Spain; University of California San Diego, Moores Cancer Center, La Jolla, CA 92037, USA
| | - Montserrat García-Closas
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD 20850, USA
| | - José A García-Sáenz
- Instituto de Investigación Sanitaria San Carlos (IdISSC), Centro Investigación Biomédica en Red de Cáncer (CIBERONC), Medical Oncology Department, Hospital Clínico San Carlos, Madrid 28040, Spain
| | - Graham G Giles
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, VIC 3004, Australia; The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC 3010, Australia; Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, VIC 3168, Australia
| | - David E Goldgar
- Huntsman Cancer Institute, University of Utah School of Medicine, Department of Dermatology, Salt Lake City, UT 84112, USA
| | - Anna González-Neira
- Spanish National Cancer Research Centre (CNIO), Human Cancer Genetics Programme, Madrid 28029, Spain
| | - Christopher A Haiman
- University of Southern California, Department of Preventive Medicine, Keck School of Medicine, Los Angeles, CA 90033, USA
| | - Niclas Håkansson
- Karolinska Institutet, Institute of Environmental Medicine, Stockholm 171 77, Sweden
| | - Ute Hamann
- German Cancer Research Center (DKFZ), Molecular Genetics of Breast Cancer, Heidelberg 69120, Germany
| | - Mikael Hartman
- National University of Singapore and National University Health System, Saw Swee Hock School of Public Health, Singapore 119077, Singapore; National University Health System, Department of Surgery, Singapore 119228, Singapore
| | | | - Antoinette Hollestelle
- Erasmus MC Cancer Institute, Department of Medical Oncology, Rotterdam 3015 CN, the Netherlands
| | - John L Hopper
- The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC 3010, Australia
| | - Ming-Feng Hou
- Kaohsiung Medical University, Chung-Ho Memorial Hospital, Kaohsiung 807, Taiwan
| | - Anthony Howell
- University of Manchester, Division of Cancer Sciences, Manchester M13 9PL, UK
| | - Hidemi Ito
- Aichi Cancer Center Research Institute, Division of Cancer Epidemiology and Prevention, Nagoya 464-8681, Japan; Nagoya University Graduate School of Medicine, Division of Cancer Epidemiology, Nagoya 466-8550, Japan
| | - Milena Jakimovska
- MASA, Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Skopje 1000, Republic of North Macedonia
| | - Anna Jakubowska
- Pomeranian Medical University, Department of Genetics and Pathology, Szczecin 71-252, Poland; Pomeranian Medical University, Independent Laboratory of Molecular Biology and Genetic Diagnostics, Szczecin 71-252, Poland
| | - Wolfgang Janni
- University Hospital Ulm, Department of Gynaecology and Obstetrics, Ulm 89075, Germany
| | - Esther M John
- Stanford Cancer Institute, Stanford University School of Medicine, Department of Epidemiology & Population Health, Stanford, CA 94304, USA
| | - Audrey Jung
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg 69120, Germany
| | - Daehee Kang
- Seoul National University Graduate School, Department of Biomedical Sciences, Seoul 03080, Korea; Seoul National University, Cancer Research Institute, Seoul 03080, Korea; Seoul National University College of Medicine, Department of Preventive Medicine, Seoul 03080, Korea
| | - C Marleen Kets
- the Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Department of Clinical Genetics, Amsterdam 1066 CX, the Netherlands
| | - Elza Khusnutdinova
- Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, Ufa 450054, Russia; Bashkir State University, Department of Genetics and Fundamental Medicine, Ufa 450000, Russia
| | - Yon-Dschun Ko
- Johanniter Krankenhaus, Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Bonn 53177, Germany
| | - Vessela N Kristensen
- Oslo University Hospital-Radiumhospitalet, Department of Cancer Genetics, Institute for Cancer Research, Oslo 0379, Norway; Oslo University Hospital and University of Olso, Department of Medical Genetics, Oslo 0379, Norway
| | - Allison W Kurian
- Stanford Cancer Institute, Stanford University School of Medicine, Department of Epidemiology & Population Health, Stanford, CA 94304, USA; Stanford University School of Medicine, Department of Health Research and Policy, Stanford, CA 94305, USA
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong; The University of Hong Kong, Department of Surgery, Pok Fu Lam, Hong Kong; Hong Kong Sanatorium and Hospital, Cancer Genetics Center and Department of Surgery, Happy Valley, Hong Kong
| | - Diether Lambrechts
- VIB Center for Cancer Biology, Leuven 3001, Belgium; University of Leuven, Laboratory for Translational Genetics, Department of Human Genetics, Leuven 3000, Belgium
| | - Loic Le Marchand
- University of Hawaii Cancer Center, Epidemiology Program, Honolulu, HI 96813, USA
| | - Jingmei Li
- Genome Institute of Singapore, Human Genetics Division, Singapore 138672, Singapore
| | - Annika Lindblom
- Karolinska Institutet, Department of Molecular Medicine and Surgery, Stockholm 171 76, Sweden; Karolinska University Hospital, Department of Clinical Genetics, Stockholm 171 76, Sweden
| | - Jan Lubiński
- Pomeranian Medical University, Department of Genetics and Pathology, Szczecin 71-252, Poland
| | - Arto Mannermaa
- University of Eastern Finland, Translational Cancer Research Area, Kuopio 70210, Finland; University of Eastern Finland, Institute of Clinical Medicine, Pathology and Forensic Medicine, Kuopio 70210, Finland; Kuopio University Hospital, Biobank of Eastern Finland, Kuopio 70210, Finland
| | - Mehdi Manoochehri
- German Cancer Research Center (DKFZ), Molecular Genetics of Breast Cancer, Heidelberg 69120, Germany
| | - Sara Margolin
- Södersjukhuset, Department of Oncology, Stockholm 118 83, Sweden; Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm 118 83, Sweden
| | - Keitaro Matsuo
- Aichi Cancer Center Research Institute, Division of Cancer Epidemiology and Prevention, Nagoya 464-8681, Japan; Nagoya University Graduate School of Medicine, Division of Cancer Epidemiology, Nagoya 466-8550, Japan
| | - Dimitrios Mavroudis
- University Hospital of Heraklion, Department of Medical Oncology, Heraklion 711 10, Greece
| | - Alfons Meindl
- University of Munich, Campus Großhadern, Department of Gynecology and Obstetrics, Munich 81377, Germany
| | - Roger L Milne
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, VIC 3004, Australia; The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC 3010, Australia; Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, VIC 3168, Australia
| | - Anna Marie Mulligan
- University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, ON M5S 1A8, Canada; University Health Network, Laboratory Medicine Program, Toronto, ON M5G 2C4, Canada
| | - Taru A Muranen
- Helsinki University Hospital, Department of Obstetrics and Gynecology, University of Helsinki, Helsinki 00290, Finland
| | - Susan L Neuhausen
- Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA 91010, USA
| | - Heli Nevanlinna
- Helsinki University Hospital, Department of Obstetrics and Gynecology, University of Helsinki, Helsinki 00290, Finland
| | - William G Newman
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester M13 9WL, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester M13 9WL, UK
| | - Andrew F Olshan
- University of North Carolina at Chapel Hill, Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC 27599, USA
| | - Janet E Olson
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN 55905, USA
| | - Håkan Olsson
- Lund University, Department of Cancer Epidemiology, Clinical Sciences, Lund 222 42, Sweden
| | | | - Julian Peto
- London School of Hygiene and Tropical Medicine, Department of Non-Communicable Disease Epidemiology, London WC1E 7HT, UK
| | - Christos Petridis
- King's College London, Research Oncology, Guy's Hospital, London SE1 9RT, UK
| | - Dijana Plaseska-Karanfilska
- MASA, Research Centre for Genetic Engineering and Biotechnology 'Georgi D. Efremov', Skopje 1000, Republic of North Macedonia
| | - Nadege Presneau
- University of Westminster, School of Life Sciences, London W1B 2HW, UK
| | - Katri Pylkäs
- University of Oulu, Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu 90220, Finland; Northern Finland Laboratory Centre Oulu, Laboratory of Cancer Genetics and Tumor Biology, Oulu 90220, Finland
| | - Paolo Radice
- Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Research, Milan 20133, Italy
| | - Gad Rennert
- Carmel Medical Center and Technion Faculty of Medicine, Clalit National Cancer Control Center, Haifa 35254, Israel
| | - Atocha Romero
- Hospital Universitario Puerta de Hierro, Medical Oncology Department, Madrid 28222, Spain
| | - Rebecca Roylance
- UCLH Foundation Trust, Department of Oncology, London NW1 2PG, UK
| | | | - Elinor J Sawyer
- King's College London, School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, London SE1 1UL, UK
| | - Rita K Schmutzler
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne 50937, Germany; Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology (CIO), Cologne 50937, Germany; Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Molecular Medicine Cologne (CMMC), Cologne 50931, Germany
| | - Lukas Schwentner
- University Hospital Ulm, Department of Gynaecology and Obstetrics, Ulm 89075, Germany
| | - Christopher Scott
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN 55905, USA
| | - Mee-Hoong See
- University of Malaya, Breast Cancer Research Unit, University Malaya Cancer Research Institute, Faculty of Medicine, Kuala Lumpur 50603, Malaysia
| | - Mitul Shah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge CB1 8RN, UK
| | - Chen-Yang Shen
- Academia Sinica, Institute of Biomedical Sciences, Taipei 115, Taiwan; China Medical University, School of Public Health, Taichung 40402, Taiwan
| | - Xiao-Ou Shu
- Vanderbilt University School of Medicine, Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Sabine Siesling
- Netherlands Comprehensive Cancer Organisation (IKNL), Department of Research, Utrecht 3511 DT, the Netherlands; University of Twente, Department of Health Technology and Service Research, Technical Medical Center, Enschede 7522 NB, the Netherlands
| | - Susan Slager
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN 55905, USA
| | - Christof Sohn
- University Hospital and German Cancer Research Center, National Center for Tumor Diseases, Heidelberg 69120, Germany
| | - Melissa C Southey
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, VIC 3004, Australia; Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, VIC 3168, Australia; The University of Melbourne, Department of Clinical Pathology, Melbourne, VIC 3010, Australia
| | - John J Spinelli
- BC Cancer, Population Oncology, Vancouver, BC V5Z 1G1, Canada; University of British Columbia, School of Population and Public Health, Vancouver, BC V6T 1Z4, Canada
| | - Jennifer Stone
- The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC 3010, Australia; Curtin University and University of Western Australia, The Curtin UWA Centre for Genetic Origins of Health and Disease, Perth, WA 6000, Australia
| | - William J Tapper
- University of Southampton, Faculty of Medicine, Southampton SO17 1BJ, UK
| | - Maria Tengström
- University of Eastern Finland, Translational Cancer Research Area, Kuopio 70210, Finland; Kuopio University Hospital, Department of Oncology, Cancer Center, Kuopio 70210, Finland; University of Eastern Finland, Institute of Clinical Medicine, Oncology, Kuopio 70210, Finland
| | - Soo Hwang Teo
- Cancer Research Malaysia, Breast Cancer Research Programme, Subang Jaya, Selangor 47500, Malaysia; University of Malaya, Department of Surgery, Faculty of Medicine, Kuala Lumpur 50603, Malaysia
| | - Mary Beth Terry
- Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY 10032, USA
| | - Rob A E M Tollenaar
- Leiden University Medical Center, Department of Surgery, Leiden 2333 ZA, the Netherlands
| | - Ian Tomlinson
- University of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham B15 2TT, UK; University of Oxford, Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, Oxford OX3 7BN, UK
| | - Melissa A Troester
- University of North Carolina at Chapel Hill, Department of Epidemiology, Gillings School of Global Public Health and UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC 27599, USA
| | - Celine M Vachon
- Mayo Clinic, Department of Health Science Research, Division of Epidemiology, Rochester, MN 55905, USA
| | - Chantal van Ongeval
- Leuven Cancer Institute, University Hospitals Leuven, Leuven Multidisciplinary Breast Center, Department of Radiology, Leuven 3000, Belgium
| | - Elke M van Veen
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester M13 9WL, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester M13 9WL, UK
| | - Robert Winqvist
- University of Oulu, Laboratory of Cancer Genetics and Tumor Biology, Cancer and Translational Medicine Research Unit, Biocenter Oulu, Oulu 90220, Finland; Northern Finland Laboratory Centre Oulu, Laboratory of Cancer Genetics and Tumor Biology, Oulu 90220, Finland
| | - Alicja Wolk
- Karolinska Institutet, Institute of Environmental Medicine, Stockholm 171 77, Sweden; Uppsala University, Department of Surgical Sciences, Uppsala 751 05, Sweden
| | - Wei Zheng
- Vanderbilt University School of Medicine, Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37232, USA
| | - Argyrios Ziogas
- University of California Irvine, Department of Epidemiology, Genetic Epidemiology Research Institute, Irvine, CA 92617, USA
| | - Douglas F Easton
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge CB1 8RN, UK; University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge CB1 8RN, UK
| | - Per Hall
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm 171 65, Sweden; Södersjukhuset, Department of Oncology, Stockholm 118 83, Sweden
| | - Marjanka K Schmidt
- The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Molecular Pathology, Amsterdam 1066 CX, the Netherlands; The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Division of Psychosocial Research and Epidemiology, Amsterdam 1066 CX, the Netherlands.
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7
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Kramer I, Schaapveld M, Oldenburg HSA, Sonke GS, McCool D, van Leeuwen FE, Van de Vijver KK, Russell NS, Linn SC, Siesling S, Menke-van der Houven van Oordt CW, Schmidt MK. The Influence of Adjuvant Systemic Regimens on Contralateral Breast Cancer Risk and Receptor Subtype. J Natl Cancer Inst 2020; 111:709-718. [PMID: 30698719 DOI: 10.1093/jnci/djz010] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Revised: 08/01/2018] [Accepted: 10/15/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND An increasing number of breast cancer (BC) survivors are at risk of developing contralateral breast cancer (CBC). We aimed to investigate the influence of various adjuvant systemic regimens on, subtype-specific, risk of CBC. METHODS This population-based cohort study included female patients diagnosed with first invasive BC between 2003 and 2010; follow-up was complete until 2016. Clinico-pathological data were obtained from the Netherlands Cancer Registry and additional data on receptor status through linkage with PALGA: the Dutch Pathology Registry. Cumulative incidences (death and distant metastases as competing risk) and hazard ratios (HRs) were estimated for all invasive metachronous CBC and CBC subtypes. RESULTS Of 83 144 BC patients, 2816 developed a CBC; the 10-year cumulative incidence was 3.8% (95% confidence interval [CI] = 3.7% to 4.0%). Overall, adjuvant chemotherapy (HR = 0.70, 95% CI = 0.62 to 0.80), endocrine therapy (HR = 0.46, 95% CI = 0.41 to 0.52), and trastuzumab with chemotherapy (HR = 0.57, 95% CI = 0.45 to 0.73) were strongly associated with a reduced CBC risk. Specifically, taxane-containing chemotherapy (HR = 0.48, 95% CI = 0.36 to 0.62) and aromatase inhibitors (HR = 0.32, 95% CI = 0.23 to 0.44) were associated with a large CBC risk reduction. More detailed analyses showed that endocrine therapy statistically significantly decreased the risk of estrogen receptor (ER)-positive CBC (HR = 0.41, 95% CI = 0.36 to 0.47) but not ER-negative CBC (HR = 1.32, 95% CI = 0.90 to 1.93) compared with no endocrine therapy. Patients receiving chemotherapy for ER-negative first BC had a higher risk of ER-negative CBC from 5 years of follow-up (HR = 2.84, 95% CI = 1.62 to 4.99) compared with patients not receiving chemotherapy for ER-negative first BC. CONCLUSION Endocrine therapy, chemotherapy, as well as trastuzumab with chemotherapy reduce CBC risk. However, each adjuvant therapy regimen had a different impact on the CBC subtype distribution. Taxane-containing chemotherapy and aromatase inhibitors were associated with the largest CBC risk reduction.
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Affiliation(s)
- Iris Kramer
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.,Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | - Hester S A Oldenburg
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | | | | | | | - Koen K Van de Vijver
- Department of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Nicola S Russell
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sabine C Linn
- Department of Surgical Oncology.,Department of Pathology, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Sabine Siesling
- Department of Research, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, the Netherlands.,Department of Health Technology and Service Research, Technical Medical Center, University of Twente, Enschede, the Netherlands
| | | | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.,Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
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8
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Tong Y, Tang Y, Li S, Zhao F, Ying J, Qu Y, Niu X, Mu D. Cumulative evidence of relationships between multiple variants in 8q24 region and cancer incidence. Medicine (Baltimore) 2020; 99:e20716. [PMID: 32590746 PMCID: PMC7328976 DOI: 10.1097/md.0000000000020716] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Genome-wide association studies (GWAS) have identified multiple independent cancer susceptibility loci at chromosome 8q24. We aimed to evaluate the associations between variants in the 8q24 region and cancer susceptibility. A comprehensive research synopsis and meta-analysis was performed to evaluate associations between 28 variants in 8q24 and risk of 7 cancers using data from 103 eligible articles totaling 146,932 cancer cases and 219,724 controls. Results: 20 variants were significantly associated with risk of prostate cancer, colorectal cancer, thyroid cancer, breast cancer, bladder cancer, stomach cancer, and glioma, including 1 variant associated with prostate cancer, colorectal cancer, and thyroid cancer. Cumulative epidemiological evidence of an association was graded as strong for DG8S737 -8 allele, rs10090154, rs7000448 in prostate cancer, rs10808556 in colorectal cancer, rs55705857 in gliomas, rs9642880 in bladder cancer, moderate for rs16901979, rs1447295, rs6983267, rs7017300, rs7837688, rs1016343, rs620861, rs10086908 associated in prostate cancer, rs10505477, rs6983267 in colorectal cancer, rs6983267 in thyroid cancer, rs13281615 in breast cancer, and rs1447295 in stomach cancer, weak for rs6983561, rs13254738, rs7008482, rs4242384 in prostate cancer. Data from ENCODE suggested that these variants with strong evidence and other correlated variants might fall within putative functional regions. Our study provides summary evidence that common variants in the 8q24 are associated with risk of multiple cancers in this large-scale research synopsis and meta-analysis. Further studies are needed to explore the mechanisms underlying variants in the 8q24 involved in various human cancers.
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Affiliation(s)
- Yu Tong
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Ying Tang
- Department of Pediatrics
- Department of Diagnostic Ultrasound
| | - Shiping Li
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Fengyan Zhao
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Junjie Ying
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Yi Qu
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Xiaoyu Niu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Dezhi Mu
- Department of Pediatrics
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
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9
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Wang X, He X, Guo H, Tong Y. Variants in the 8q24 region associated with risk of breast cancer: Systematic research synopsis and meta-analysis. Medicine (Baltimore) 2020; 99:e19217. [PMID: 32080114 PMCID: PMC7034712 DOI: 10.1097/md.0000000000019217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Breast cancer is a molecularly heterogeneous disorder associated with high lethal malignant tumors among women worldwide. Genetic factors play an important role in breast cancer development. Several single nucleotide polymorphisms in the 8q24 region associated with risk of breast cancer have been identified. Fifteen studies including 32,955 cases and 43,716 controls were collected to conduct a meta-analysis to evaluate the associations between variants in 8q24 region and risk of breast cancer. Our study showed that only rs13281615 is associated with breast cancer risk in this large-scale research synopsis and meta-analysis. Further studies are needed to explore the role of the 8q24 variants in the development of breast cancer.
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Affiliation(s)
- Xuedong Wang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Xian He
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
| | - Hui Guo
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yu Tong
- Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province, China
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10
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Association between the BRCA2 rs144848 polymorphism and cancer susceptibility: a meta-analysis. Oncotarget 2018; 8:39818-39832. [PMID: 28418854 PMCID: PMC5503656 DOI: 10.18632/oncotarget.16242] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 02/06/2017] [Indexed: 01/11/2023] Open
Abstract
The BRCA2 gene plays an important role in cancer carcinogenesis, and polymorphisms in this gene have been associated with cancer risk. The BRCA2 rs144848 polymorphism has been associated with several cancers, but results have been inconsistent. In the present study, a meta-analysis was performed to assess the association between the rs144848 polymorphism and cancer risk. Literature was searched from the databases of PubMed, Embase and Google Scholar before April 2016. The fixed or random effects model was used to calculate pooled odd ratios on the basis of heterogeneity. Meta-regression, sensitivity analysis, subgroup analysis and publication bias assessment were also performed using STATA 11.0 software according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2009. A total of 40 relevant studies from 30 publications including 34,911 cases and 48,329 controls were included in the final meta-analysis. Among them, 22 studies focused on breast cancer, seven on ovarian cancer, five on non-Hodgkin lymphoma, and the remaining six studies examined various other cancers. The meta-analysis results showed that there were significant associations between the rs144848 polymorphism and cancer risk in all genetic models. Stratified by cancer type, the rs144848 polymorphism was associated with non-Hodgkin lymphoma. Stratified by study design, the allele model was associated with breast cancer risk in population-based studies. The meta-analysis suggests that the BRCA2 rs144848 polymorphism may play a role in cancer risk. Further well-designed studies are warranted to confirm these results.
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11
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Shi X, Jin H, Peng M, Li B, She M, Zhu T, Wen S, Qin D. Association between NME1 polymorphisms and cancer susceptibility: A meta-analysis based on 1644 cases and 2038 controls. Pathol Res Pract 2018. [PMID: 29525404 DOI: 10.1016/j.prp.2018.02.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The association between polymorphisms in the nucleoside diphosphate kinase 1 (NME1) gene and overall risk of cancer remains to be elucidated. Here, we performed a meta-analysis of the association between rs16949649, rs2302254, and rs34214448 polymorphisms in the NME1 gene and cancer risk. PubMed, Web of Science, and CNKI databases (as of June 6, 2017) were searched. Eight studies, encompassing 1644 cases and 2038 controls, were selected. The results revealed no significant relationship between NME1 polymorphisms and overall cancer susceptibility. Interestingly, the rs16949649 polymorphism was associated with increased susceptibility to gynecological cancer (heterozygous model: odds ratio [OR] = 1.74, 95% confidence interval [CI] = 1.06-2.86, P = 0.029). The rs2302254 polymorphism was linked to decreased susceptibility to gastric cancer in the other groups (recessive model: OR = 0.53, 95% CI = 0.28-0.98, P = 0.045). The rs34214448 polymorphism correlated significantly with increased susceptibility to non-small cell lung cancer according to all genetic models (P < 0.05) and was linked to decreased risk in cervical cancer (recessive model: OR = 0.51, 95% CI = 0.27-0.94, P = 0.031). Thus, our meta-analysis found rs16949649 associated with increased susceptibility to gynecological cancer and rs2302254 was linked to reduced gastric cancer risk; additional, larger studies are required to confirm these findings.
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Affiliation(s)
- Xiaoqing Shi
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, Henan, China
| | - Huifang Jin
- Department of Blood Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengle Peng
- Department of Clinical Laboratory, The Third People's Hospital of Henan Province, Zhengzhou, China
| | - Bingjie Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, Henan, China
| | - Mingcong She
- Genetic and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Tao Zhu
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, Henan, China
| | - Shuang Wen
- Reproductive Medical Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongchun Qin
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, Henan, China.
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12
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Association between 8q24 (rs13281615 and rs6983267) polymorphism and breast cancer susceptibility: a meta-analysis involving 117,355 subjects. Oncotarget 2018; 7:68002-68011. [PMID: 27634905 PMCID: PMC5356534 DOI: 10.18632/oncotarget.12009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 08/27/2016] [Indexed: 01/09/2023] Open
Abstract
Published data on the association between 8q24 polymorphism and breast cancer (BC) risk are inconclusive. Thus, we conducted a meta-analysis to evaluate the relationship between 8q24 (rs13281615 and rs6983267) polymorphism and BC risk. We searched PubMed, EMBASE, Web of Science and the Cochrane Library up to August 13, 2015 for relevant studies. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to estimate the strength of associations. Twenty-six studies published from 2008 to 2014, with a total of 52,683 cases and 64,672 controls, were included in this meta-analysis. The pooled results showed that there was significant association between 8q24 rs13281615 polymorphism and BC risk in any genetic model. In the subgroup analysis by ethnicity, the effects remained in Asians and Caucasians. However, no genetic models reached statistical association in Africans. There was no association in any genetic model in rs6983267. This meta-analysis suggests that 8q24 rs13281615 polymorphism is a risk factor for susceptibility to BC in Asians, Caucasians and in overall population, While, there was no association in Africans. The rs6983267 polymorphism has no association with BC risk in any genetic model. Further large scale multicenter epidemiological studies are warranted to confirm this finding.
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13
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Diagnosis of Fanconi Anaemia by ionising radiation- or mitomycin C-induced micronuclei. DNA Repair (Amst) 2017; 61:17-24. [PMID: 29154021 DOI: 10.1016/j.dnarep.2017.11.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/25/2017] [Accepted: 11/03/2017] [Indexed: 11/22/2022]
Abstract
Fanconi Anaemia (FA) is an autosomal recessive disorder characterised by defects in DNA repair, associated with chromosomal instability and cellular hypersensitivity to DNA cross-linking agents such as mitomycin C (MMC). The FA repair pathway involves complex DNA repair mechanisms crucial for genomic stability. Deficiencies in DNA repair genes give rise to chromosomal radiosensitivity. FA patients have shown increased clinical radiosensitivity by exhibiting adverse normal tissue side-effects. The study aimed to investigate chromosomal radiosensitivity of homozygous and heterozygous carriers of FA mutations using three micronucleus (MN) assays. The G0 and S/G2MN assays are cytogenetic assays to evaluate DNA damage induced by ionising radiation in different phases of the cell cycle. The MMC MN assay detects DNA damage induced by a crosslinking agent in the G0 phase. Patients with a clinical diagnosis of FA and their parents were screened for the complete coding region of 20 FA genes. Blood samples of all FA patients and parents were exposed to ionising radiation of 2 and 4Gy. Chromosomal radiosensitivity was evaluated in the G0 and S/G2 phase. Most of our patients were homozygous for the founder mutation FANCG c.637_643delTACCGCC; p.(Tyr213Lysfs*6) while one patient was compound heterozygous for FANCG c.637_643delTACCGCC and FANCG c.1379G > A, p.(Gly460Asp), a novel missense mutation. Another patient was compound heterozygous for two deleterious FANCA mutations. In FA patients, the G0- and S/G2-MN assays show significantly increased chromosomal radiosensitivity and genomic instability. Moreover, chromosomal damage was significantly elevated in MMC treated FA cells. We also observed an increase in chromosomal radiosensitivity and genomic instability in the parents using 3 assays. The effect was significant using the MMC MN assay. The MMC MN assay is advantageous as it is less labour intense, time effective and has potential as a reliable alternative method for detecting FA patients from parents and controls.
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14
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Robson ME, Reiner AS, Brooks JD, Concannon PJ, John EM, Mellemkjaer L, Bernstein L, Malone KE, Knight JA, Lynch CF, Woods M, Liang X, Haile RW, Duggan DJ, Shore RE, Smith SA, Thomas DC, Stram DO, Bernstein JL. Association of Common Genetic Variants With Contralateral Breast Cancer Risk in the WECARE Study. J Natl Cancer Inst 2017; 109:3611466. [PMID: 28521362 DOI: 10.1093/jnci/djx051] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 02/27/2017] [Indexed: 12/17/2022] Open
Abstract
Background Women with unilateral breast cancer (UBC) are at risk of developing a subsequent contralateral breast cancer (CBC). Common variants are associated with breast cancer risk. Whether these influence CBC risk is unknown. Methods Participants were breast cancer cases from the population-based Women's Environmental Cancer and Radiation Epidemiology (WECARE) Study. Sixty-seven established breast cancer risk loci were genotyped directly or by imputation in 1459 case subjects with CBC and 2126 UBC control subjects. An unweighted polygenic risk score (PRS) was created by summing the number of risk alleles for each directly genotyped single nucleotide polymorphism (SNP), or for imputed loci, the imputed dosage. A weighted PRS was calculated similarly, but where each SNP's contribution was weighted by the published per-allele log odds ratio. Unweighted and weighted polygenic risk scores and CBC risk were modeled using conditional logistic regression. Cumulative CBC risk was estimated and benchmarked using Surveillance, Epidemiology, and End Results population incidence rates. Results Both unweighted and weighted PRS were statistically significantly associated with CBC risk. The adjusted risk ratio of CBC in women in the upper quartile of unweighted PRS compared with the lowest quartile was 1.63 (95% confidence interval [CI] = 1.33 to 2.00). The estimated 10-year cumulative risk for women in the upper quartile of the unweighted PRS was 7.4% (95% CI = 6.0% to 9.1%). For women in the upper quartile of the weighted PRS, the risk ratio for CBC was 1.75 (95% CI = 1.41 to 2.18) compared with women in the lowest quartile. There was no statistically significant heterogeneity by age, treatment (radiation therapy dose, tamoxifen, chemotherapy), estrogen receptor status of the first primary, histology of the first primary, length of at-risk period for CBC, or breast cancer family history. Conclusions Common genomic variants associated with the development of first primary breast cancer are also associated with the development of CBC; the risk is strongest among those who carry more risk alleles.
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Affiliation(s)
- Mark E Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Medicine, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Anne S Reiner
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA
| | - Jennifer D Brooks
- Epidemiology Division, University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, ON, Canada
| | | | - Esther M John
- Division of Epidemiology, Department of Health Research and Policy, Cancer Prevention Institute of California, Fremont, CA, USA.,Stanford School of Medicine, Stanford, CA, USA
| | | | - Leslie Bernstein
- Division of Cancer Etiology, Department of Population Sciences, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA, USA
| | - Kathleen E Malone
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julia A Knight
- Epidemiology Division, University of Toronto, Dalla Lana School of Public Health Sciences, Toronto, ON, Canada.,Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
| | - Meghan Woods
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.,Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiaolin Liang
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.,Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert W Haile
- Stanford School of Medicine, Stanford, CA, USA.,Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University, California
| | - David J Duggan
- Integrated Cancer Genomics Division, Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Roy E Shore
- Department of Population Health, New York University, New York, NY, USA
| | - Susan A Smith
- Department of Radiation Physics, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.,Division of Biostatistics and Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | - Daniel O Stram
- Division of Biostatistics and Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA.,Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York,NY, USA.,Memorial Sloan Kettering Cancer Center, New York, NY, USA
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15
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Fletcher NM, Belotte J, Saed MG, Memaj I, Diamond MP, Morris RT, Saed GM. Specific point mutations in key redox enzymes are associated with chemoresistance in epithelial ovarian cancer. Free Radic Biol Med 2017; 102:122-132. [PMID: 27890641 DOI: 10.1016/j.freeradbiomed.2016.11.028] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 11/06/2016] [Accepted: 11/14/2016] [Indexed: 01/30/2023]
Abstract
Oxidative stress plays an important role in the pathophysiology of ovarian cancer. Resistance to chemotherapy presents a significant challenge for ovarian cancer treatment. Specific single nucleotide polymorphisms (SNPs) in key redox enzymes have been associated with ovarian cancer survival and progression. The objective of this study was to determine whether chemotherapy induces point mutations in key redox enzymes that lead to the acquisition of chemoresistance in epithelial ovarian cancer (EOC). Human EOC cell lines and their chemoresistant counterpart were utilized for this study. Specific SNPs in key redox enzymes were analyzed by TaqMan SNP Genotyping. Activities and levels of key redox enzymes were determined by real-time RT-PCR, ELISA and a greiss assay. Point mutations in key redox enzymes were introduced into sensitive EOC cells via the CRISPR/Cas9 system. Cell viability and IC50 for cisplatin were determined by the MTT Cell Proliferation Assay. Data was analyzed with SPSS using Student's two-tailed t-tests and One-way ANOVA followed by Dunnett's or Tukey's post hoc tests, p<0.05. Here, we demonstrate that chemoresistant EOC cells are characterized by a further enhancement in oxidative stress as compared to sensitive counterparts. Additionally, chemoresistant EOC cells manifested specific point mutations, which are associated with altered enzymatic activity, in key redox enzymes that are not detected in sensitive counterparts. Supplementation of an antioxidant was able to successfully sensitize EOC cells to chemotherapeutics. Causality was established by the induction of these point mutations in sensitive EOC cells, which resulted in a significant increase in the level of chemoresistance. These findings indicate that chemotherapy induces specific point mutations in key redox enzymes that contribute to the acquisition of chemoresistance in EOC cells, highlighting a potential novel mechanism. Identification of targets for chemoresistance with either biomarker and/or screening potential will have a significant impact for the treatment of this disease.
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Affiliation(s)
- Nicole M Fletcher
- Department of Obstetrics and Gynecology, The C.S. Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI 48201, USA.
| | - Jimmy Belotte
- Department of Obstetrics and Gynecology, The C.S. Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI 48201, USA.
| | - Mohammed G Saed
- Department of Obstetrics and Gynecology, The C.S. Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI 48201, USA.
| | - Ira Memaj
- Department of Obstetrics and Gynecology, The C.S. Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI 48201, USA; Department of Obstetrics and Gynecology, Augusta University, Augusta, GA 30912, USA; Karmanos Cancer Institute, Detroit, MI 48201, USA.
| | - Michael P Diamond
- Department of Obstetrics and Gynecology, Augusta University, Augusta, GA 30912, USA.
| | | | - Ghassan M Saed
- Department of Obstetrics and Gynecology, The C.S. Mott Center for Human Growth and Development, Wayne State University School of Medicine, Detroit, MI 48201, USA.
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16
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Variants of FGFR2 and their associations with breast cancer risk: a HUGE systematic review and meta-analysis. Breast Cancer Res Treat 2016; 155:313-35. [PMID: 26728143 DOI: 10.1007/s10549-015-3670-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Accepted: 12/25/2015] [Indexed: 10/22/2022]
Abstract
Extensive epidemiological studies have demonstrated that there are associations between variants in intron 2 of FGFR2 and the breast cancer risk in various populations; however, the relationships are not yet conclusively established. To comprehensively review the epidemiological studies showing associations between the variants of FGFR2 and the breast cancer risk, and to establish correlations via a meta-analysis. The PubMed and MEDLINE databases were searched for eligible studies. The associations between the variants and breast cancer risk were evaluated using a random-effects model. The heterogeneity among the studies and the potential publication bias were also evaluated. Fifty-three studies with a total of 121,740 cases and 198,549 controls have examined the associations between 23 variants in intron 2 of FGFR2 and the breast cancer risk. The relationships for the 10 most frequently evaluated variants-rs1078806, rs11200014, rs1219648, rs2420946, rs2981578, rs2981579, rs2981582, rs3135718, rs10736303, and rs3750817-were synthesized based on a meta-analysis. Interestingly, we found that all 10 variants were significantly associated with the risk of breast cancer. In studies stratified by ethnicity, we found that the associations were more notable in Caucasians and Asians compared to Africans. Similar pooled results were found in population-based and hospital-based case-control studies and in studies with small and large sample sizes. FGFR2 is a breast cancer susceptibility gene, and various variants of FGFR2 are significantly associated with the breast cancer risk. However, the biological mechanisms underlying the associations need to be elucidated in future studies.
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17
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Karageorgos I, Mizzi C, Giannopoulou E, Pavlidis C, Peters BA, Zagoriti Z, Stenson PD, Mitropoulos K, Borg J, Kalofonos HP, Drmanac R, Stubbs A, van der Spek P, Cooper DN, Katsila T, Patrinos GP. Identification of cancer predisposition variants in apparently healthy individuals using a next-generation sequencing-based family genomics approach. Hum Genomics 2015; 9:12. [PMID: 26092435 PMCID: PMC4499216 DOI: 10.1186/s40246-015-0034-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Accepted: 06/11/2015] [Indexed: 11/29/2022] Open
Abstract
Cancer, like many common disorders, has a complex etiology, often with a strong genetic component and with multiple environmental factors contributing to susceptibility. A considerable number of genomic variants have been previously reported to be causative of, or associated with, an increased risk for various types of cancer. Here, we adopted a next-generation sequencing approach in 11 members of two families of Greek descent to identify all genomic variants with the potential to predispose family members to cancer. Cross-comparison with data from the Human Gene Mutation Database identified a total of 571 variants, from which 47 % were disease-associated polymorphisms, 26 % disease-associated polymorphisms with additional supporting functional evidence, 19 % functional polymorphisms with in vitro/laboratory or in vivo supporting evidence but no known disease association, 4 % putative disease-causing mutations but with some residual doubt as to their pathological significance, and 3 % disease-causing mutations. Subsequent analysis, focused on the latter variant class most likely to be involved in cancer predisposition, revealed two variants of prime interest, namely MSH2 c.2732T>A (p.L911R) and BRCA1 c.2955delC, the first of which is novel. KMT2D c.13895delC and c.1940C>A variants are additionally reported as incidental findings. The next-generation sequencing-based family genomics approach described herein has the potential to be applied to other types of complex genetic disorder in order to identify variants of potential pathological significance.
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Affiliation(s)
- Ioannis Karageorgos
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion GR-26504, Patras, Greece
| | - Clint Mizzi
- Department of Physiology and Biochemistry, Faculty of Health Sciences, University of Malta, Msida, Malta.,Department of Bioinformatics, School of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Efstathia Giannopoulou
- Clinical Oncology Laboratory, Division of Oncology, Department of Medicine, University of Patras, Patras, Greece
| | - Cristiana Pavlidis
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion GR-26504, Patras, Greece
| | - Brock A Peters
- Complete Genomics Inc., Mountain View, CA, USA.,BGI-Shenzhen, Shenzhen, 51803, China
| | - Zoi Zagoriti
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion GR-26504, Patras, Greece
| | - Peter D Stenson
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Joseph Borg
- Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.,Department of Cell Biology and Genetics, School of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Haralabos P Kalofonos
- Clinical Oncology Laboratory, Division of Oncology, Department of Medicine, University of Patras, Patras, Greece
| | - Radoje Drmanac
- Complete Genomics Inc., Mountain View, CA, USA.,BGI-Shenzhen, Shenzhen, 51803, China
| | - Andrew Stubbs
- Department of Bioinformatics, School of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Peter van der Spek
- Department of Bioinformatics, School of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Theodora Katsila
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion GR-26504, Patras, Greece
| | - George P Patrinos
- Department of Pharmacy, University of Patras, School of Health Sciences, University Campus, Rion GR-26504, Patras, Greece. .,Department of Bioinformatics, School of Medicine and Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands.
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Abstract
An increasingly large proportion of women with unilateral breast cancer are treated with bilateral mastectomy. The rationale behind bilateral surgery is to prevent a second primary breast cancer and thereby to avoid the resultant therapy and eliminate the risk of death from contralateral breast cancer. Bilateral mastectomy has been proposed to benefit women at high risk of contralateral cancer, such as carriers of BRCA1 and BRCA2 mutations, but for women without such mutations, the decision to remove the contralateral breast is controversial. It is important to evaluate the risk of contralateral breast cancer on an individual basis, and to tailor surgical treatment accordingly. On average, the annual risk of contralateral breast cancer is approximately 0.5%, but increases to 3% in carriers of a BRCA1 or BRCA2 mutation. Risk factors for contralateral breast cancer include a young age at first diagnosis of breast cancer and a family history of breast cancer. Contralateral mastectomy has not been proven to reduce mortality from breast cancer, but the benefit of such surgery is not expected to become apparent until the second decade after treatment. An alternative to contralateral mastectomy is adjuvant hormonal therapy (such as tamoxifen), but the extent of risk reduction is smaller (approximately 50%) compared to 95% or more for contralateral mastectomy. This Review focuses on the risk factors for contralateral breast cancer, and discusses the evidence that bilateral mastectomy might reduce mortality in patients with unilateral breast cancer.
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Affiliation(s)
- Steven A Narod
- Women's College Research Institute, Women's College Hospital, 790 Bay Street, Toronto, ON M5G 1N8, Canada
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19
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Ethnicity modifies the association between functional microRNA polymorphisms and breast cancer risk: a HuGE meta-analysis. Tumour Biol 2013; 35:529-43. [DOI: 10.1007/s13277-013-1074-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2013] [Accepted: 08/05/2013] [Indexed: 12/18/2022] Open
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20
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Yu Y, Chen Z, Wang H, Zhang Y. Quantitative assessment of common genetic variants on chromosome 5p12 and hormone receptor status with breast cancer risk. PLoS One 2013; 8:e72154. [PMID: 23977236 PMCID: PMC3747047 DOI: 10.1371/journal.pone.0072154] [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: 04/07/2013] [Accepted: 07/06/2013] [Indexed: 12/14/2022] Open
Abstract
Several genome-wide association studies on breast cancer (BC) have reported similar findings of a new susceptibility locus, 5p12. After that, a number of studies reported that the rs10941679, rs4415084, and rs981782 polymorphism in chromosome 5p12 has been implicated in BC risk. However, the studies have yielded contradictory results. To derive a more precise estimation of the relationship, a meta-analysis of 131,983 BC cases and 200,314 controls from 24 published case-control studies was performed. Overall, significantly elevated BC risk was associated with rs10941679, rs4415084, and rs981782 risk allele when all studies were pooled into the meta-analysis. In the subgroup analysis by ethnicity, significantly increased risks were found for the rs10941679 and rs4415084 polymorphism among Caucasians and East Asians, while no significant associations were observed for the two polymorphisms in African and other ethnic populations. For 5p12-rs981782, significant associations were only detected among Caucasians. In addition, we found that rs10941679 and rs4415084 on 5p12 confer risk, exclusively for estrogen receptor (ER)-positive tumors with per-allele OR of 1.16 (95% CI: 1.11-1.21; P<10(-5)) and of 1.14 (95% CI: 1.09-1.19; P<10(-5)) respectively. Ethnicity was identified as a potential source of between-study heterogeneity. In conclusion, this meta-analysis demonstrated that common variations are a risk factor associated with increased BC susceptibility, but these associations vary in different ethnic populations.
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Affiliation(s)
- Yanmin Yu
- Department of Breast Surgery, Huangpu Central Hospital of Shanghai, Shanghai, People’s Republic of China
| | - Zenggan Chen
- Department of Orthopedics, Zhongshan Hospital, 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); (YZ)
| | - Yan Zhang
- Department of Radiology, Huangpu Central Hospital of Shanghai, Shanghai, People’s Republic of China
- * E-mail: (HW); (YZ)
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21
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Huang T, Hong J, Lin W, Yang Q, Ni K, Wu Q, Sun J. Assessing interactions between common genetic variant on 2q35 and hormone receptor status with breast cancer risk: evidence based on 26 studies. PLoS One 2013; 8:e69056. [PMID: 23976942 PMCID: PMC3745398 DOI: 10.1371/journal.pone.0069056] [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: 02/23/2013] [Accepted: 06/04/2013] [Indexed: 01/17/2023] Open
Abstract
Genome-wide association studies have identified 2q35-rs13387042 as a new breast cancer (BC) susceptibility locus in populations of European descent. Since then, the relationship between 2q35-rs13387042 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 26 studies involving a total of 101,529 cases and 167,363 controls for 2q35-rs13387042 polymorphism to evaluate its effect on genetic susceptibility for breast cancer. An overall random effects odds ratio of 1.14 (95% CI: 1.11-1.16, P<10⁻⁵) was found for rs13387042-A variant. Significant results were also observed using dominant (OR = 1.14, 95% CI: 1.12-1.17, P<10⁻⁵), recessive (OR = 1.17, 95% CI: 1.13-1.21, P<10⁻⁵) and co-dominant genetic model (heterozygous: OR = 1.15, 95% CI: 1.12-1.19, P<10⁻⁵; homozygous: OR = 1.20, 95% CI: 1.15-1.24, P<10⁻⁵). There was strong evidence of heterogeneity, which largely disappeared after stratification by ethnicity. Significant associations were found in East Asians, and White populations when stratified by ethnicity; while no significant associations were observed in Africans and other ethnic populations. An association was observed for both ER-positive (OR = 1.17, 95% 1.15-1.19; P<10⁻⁵) and ER-negative disease (OR = 1.08, 95% CI: 1.04-1.13; P<10⁻⁴) and both progesterone receptor (PR)-positive (OR = 1.18, 95% CI: 1.15-1.21; P<10⁻⁵) and PR-negative disease (OR = 1.10, 95% CI: 1.05-1.15; P<10⁻⁴). In conclusion, this meta-analysis demonstrated that the A allele of 2q35-rs13387042 is a risk factor associated with increased breast cancer susceptibility.
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Affiliation(s)
- Tao Huang
- Department of General Surgery, Shanghai Eighth People's Hospital, Shanghai, People's Republic of China
| | - Jun Hong
- Department of General Surgery, Shanghai Putuo District Center Hospital, Shanghai, People's Republic of China
| | - Wanlong Lin
- Department of Oncology, Shanghai Zhabei District Shibei Hospital, Shanghai, People's Republic of China
| | - Qungqing Yang
- Department of General Surgery, Shanghai Zhabei District Shibei Hospital, Shanghai, People's Republic of China
| | - Keliang Ni
- Department of General Surgery, Shanghai Zhabei District Shibei Hospital, Shanghai, People's Republic of China
| | - Qingyu Wu
- Department of General Surgery, Shanghai Zhabei District Shibei Hospital, Shanghai, People's Republic of China
- * E-mail: (QYW); (JS)
| | - Jie Sun
- Department of General Surgery, Shanghai Zhabei District Shibei Hospital, Shanghai, People's Republic of China
- * E-mail: (QYW); (JS)
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Gu C, Zhou L, Yu J. Quantitative assessment of 2q35-rs13387042 polymorphism and hormone receptor status with breast cancer risk. PLoS One 2013; 8:e66979. [PMID: 23894282 PMCID: PMC3718795 DOI: 10.1371/journal.pone.0066979] [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: 03/19/2013] [Accepted: 05/15/2013] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The association between rs13387042 polymorphism on 2q35 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 2q35-rs13387042 polymorphism and BC. METHODS Databases including MEDLINE, PubMed, EMBASE, ISI web of science and CNKI (China National Knowledge Infrastructure) 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 24 articles involving 99,772 cases and 164,985 controls were included. In a combined analysis, the summary per-allele odds ratio (OR) for BC of 2q35-rs13387042 polymorphism was 1.13 (95% CI: 1.11-1.16; P<10(-5)). Significant associations were also detected under co-dominant, dominant and recessive genetic models. In the subgroup analysis by ethnicity, significantly increased risks were found in Asians, Caucasians and Hispanic whites for the polymorphism in all comparisons; whereas no significant associations were found among Africans. In addition, we find 2q35-rs13387042 polymorphism conferred significantly risks for both ER-positive and ER-negative tumors. Furthermore, significant associations were also detected both in PR-positive and PR-negative cancer. CONCLUSIONS Our findings demonstrated that rs13387042-A allele is a risk-conferring factors for the development of BC, especially in Asians, Caucasians and Hispanic whites.
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Affiliation(s)
- Chao Gu
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Liang Zhou
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jianping Yu
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, People's Republic of China
- * E-mail:
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23
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Brooks JD, Teraoka SN, Bernstein L, Mellemkjær L, Malone KE, Lynch CF, Haile RW, Concannon P, Reiner AS, Duggan DJ, Schiermeyer K, Bernstein JL, Figueiredo JC. Common variants in genes coding for chemotherapy metabolizing enzymes, transporters, and targets: a case-control study of contralateral breast cancer risk in the WECARE Study. Cancer Causes Control 2013; 24:1605-14. [PMID: 23775025 PMCID: PMC3709075 DOI: 10.1007/s10552-013-0237-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2012] [Accepted: 05/21/2013] [Indexed: 11/27/2022]
Abstract
Purpose Women who receive chemotherapy for a first primary breast cancer have been observed to have a reduced risk of contralateral breast cancer (CBC), however, whether the genetic profile of a patient modifies this protective effect is currently not understood. The purpose of this study is to investigate the impact of germline genetic variation in genes coding for drug metabolizing enzymes, transporters, and targets on the association between chemotherapy and risk of CBC. Methods From the population-based Women’s Environment Cancer and Radiation Epidemiology (WECARE) Study, we included 636 Caucasian women with CBC (cases) and 1,224 women with unilateral breast cancer (controls). The association between common chemotherapeutic regimens, CMF and FAC/FEC, and risk of CBC stratified by genotype of 180 single nucleotide polymorphisms in 14 genes selected for their known involvement in metabolism, action, and transport of breast cancer chemotherapeutic agents, were determined using conditional logistic regression. Results CMF (RR = 0.5, 95 % CI 0.4, 0.7) and FAC/FEC (RR = 0.7, 95 % CI 0.4, 1.0) are associated with lower CBC risk relative to no chemotherapy in multivariable-adjusted models. Here we show that genotype of selected genes involved in the metabolism and uptake of these therapeutic agents does not significantly alter the protective effect of either CMF or FAC/FEC on risk of CBC. Conclusion The results of this study show that germline genetic variation in selected gene does not significantly alter the protective effect of CMF, FAC, and FEC on risk of CBC. Electronic supplementary material The online version of this article (doi:10.1007/s10552-013-0237-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jennifer D Brooks
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 E 63rd Street, 3rd Floor, New York, NY, USA.
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24
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Lanara Z, Giannopoulou E, Fullen M, Kostantinopoulos E, Nebel JC, Kalofonos HP, Patrinos GP, Pavlidis C. Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection. Hum Genomics 2013; 7:14. [PMID: 23738773 PMCID: PMC3686617 DOI: 10.1186/1479-7364-7-14] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Accepted: 05/01/2013] [Indexed: 12/12/2022] Open
Abstract
A large number of common disorders, including cancer, have complex genetic traits, with multiple genetic and environmental components contributing to susceptibility. A literature search revealed that even among several meta-analyses, there were ambiguous results and conclusions. In the current study, we conducted a thorough meta-analysis gathering the published meta-analysis studies previously reported to correlate any random effect or predictive value of genome variations in certain genes for various types of cancer. The overall analysis was initially aimed to result in associations (1) among genes which when mutated lead to different types of cancer (e.g. common metabolic pathways) and (2) between groups of genes and types of cancer. We have meta-analysed 150 meta-analysis articles which included 4,474 studies, 2,452,510 cases and 3,091,626 controls (5,544,136 individuals in total) including various racial groups and other population groups (native Americans, Latinos, Aborigines, etc.). Our results were not only consistent with previously published literature but also depicted novel correlations of genes with new cancer types. Our analysis revealed a total of 17 gene-disease pairs that are affected and generated gene/disease clusters, many of which proved to be independent of the criteria used, which suggests that these clusters are biologically meaningful.
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Affiliation(s)
- Zoi Lanara
- Faculty of Mathematical, Physical and Natural Sciences, Department of Biological Sciences, University of Trieste, Trieste, 34128, Italy
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25
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Single nucleotide polymorphism 8q24 rs13281615 and risk of breast cancer: meta-analysis of more than 100,000 cases. PLoS One 2013; 8:e60108. [PMID: 23565189 PMCID: PMC3614948 DOI: 10.1371/journal.pone.0060108] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2012] [Accepted: 02/21/2013] [Indexed: 01/13/2023] Open
Abstract
Background The onset and progression of breast cancer (BC) is influenced by many factors, including the single nucleotide polymorphism (SNP) rs13281615 at 8q24. However, studies of the potential association between rs13281615 at 8q24 and risk of BC have given inconsistent results. We performed a meta-analysis to address this controversy. Methods PubMed, EMBASE and the Chinese National Knowledge Infrastructure databases were systematically searched to identify relevant studies. Two curators independently extracted data, and odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated to assess the strength of the association between rs13281615 at 8q24 and risk of BC. Results Fourteen studies are included in the meta-analysis, involving 44,283 cases (5,170 Chinese and 39,113 mixed) and 55,756 controls (5,589 Chinese and 50,167 mixed). The GG and G-allele genotypes of rs13281615 at 8q24 are significantly associated with increased risk of BC (GG vs. AG+AA, OR 1.13, 95% CI 1.08–1.19, P<0.001; G-allele vs. A-allele, OR 1.10, 95% CI 1.06–1.14, P<0.001; GG vs. AA, OR 1.20, 95% CI 1.12–1.29, P<0.001). Conversely, the AA genotype is significantly associated with decreased risk of BC (AA vs. AG+GG, OR 0.89, 95% CI 0.84–0.93, P<0.001). Conclusion G-allele genotypes of rs13281615 at 8q24 polymorphism are a risk factor for developing BC, while the AA genotype is a protective factor. Further large and well-designed studies are required to confirm this conclusion.
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Ney JT, Juhasz-Boess I, Gruenhage F, Graeber S, Bohle RM, Pfreundschuh M, Solomayer EF, Assmann G. Genetic polymorphism of the OPG gene associated with breast cancer. BMC Cancer 2013; 13:40. [PMID: 23369128 PMCID: PMC3563620 DOI: 10.1186/1471-2407-13-40] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Accepted: 01/22/2013] [Indexed: 12/20/2022] Open
Abstract
Background The receptor activator of NF-κB (RANK), its ligand (RANKL) and osteoprotegerin (OPG) have been reported to play a role in the pathophysiological bone turnover and in the pathogenesis of breast cancer. Based on this we investigated the role of single nucleotide polymorphisms (SNPs) within RANK, RANKL and OPG and their possible association to breast cancer risk. Methods Genomic DNA was obtained from Caucasian participants consisting of 307 female breast cancer patients and 396 gender-matched healthy controls. We studied seven SNPs in the genes of OPG (rs3102735, rs2073618), RANK (rs1805034, rs35211496) and RANKL (rs9533156, rs2277438, rs1054016) using TaqMan genotyping assays. Statistical analyses were performed using the χ2-tests for 2 x 2 and 2 x 3 tables. Results The allelic frequencies (OR: 1.508 CI: 1.127-2.018, p=0.006) and the genotype distribution (p=0.019) of the OPG SNP rs3102735 differed significantly between breast cancer patients and healthy controls. The minor allele C and the corresponding homo- and heterozygous genotypes are more common in breast cancer patients (minor allele C: 18.4% vs. 13.0%; genotype CC: 3.3% vs. 1.3%; genotype CT: 30.3% vs. 23.5%). No significantly changed risk was detected in the other investigated SNPs. Additional analysis showed significant differences when comparing patients with invasive vs. non-invasive tumors (OPG rs2073618) as well as in terms of tumor localization (RANK rs35211496) and body mass index (RANKL rs9533156 and rs1054016). Conclusions This is the first study reporting a significant association of the SNP rs3102735 (OPG) with the susceptibility to develop breast cancer in the Caucasian population.
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Affiliation(s)
- Jasmin Teresa Ney
- Gynecology, Obstetrics and Reproductive Medicine, University Medical School of Saarland, 66421, Homburg/Saar, Saarland, Germany.
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27
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Assessing interactions between the associations of fibroblast growth factor receptor 2 common genetic variants and hormone receptor status with breast cancer risk. Breast Cancer Res Treat 2012. [PMID: 23184080 DOI: 10.1007/s10549-012-2343-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Fibroblast growth factor receptor 2 (FGFR2) is a member of a receptor tyrosine kinase gene superfamily, involved in cell growth, invasiveness, motility, and angiogenesis, which has attracted considerable attention as a candidate gene for breast cancer (BC) since it was first identified through genome-wide association approach. In the past few years, the relationship between FGFR2 and BC has been reported in various ethnic groups; however, these studies have yielded contradictory results. To investigate this inconsistency, we performed a meta-analysis of 37 studies involving a total of 288,142 subjects for rs2981582, rs1219648, and rs2420946 polymorphism of the FGFR2 gene to evaluate the effect of FGFR2 on genetic susceptibility for BC. Overall, significantly increased BC risk was associated with these polymorphisms when all studies were pooled into the meta-analysis. In addition, our data indicate that FGFR2 is involved in BC susceptibility and confer its effect primarily in estrogen receptor-positive and progesterone receptor-positive tumors. When stratified by ethnicity, significantly increased risks were found in Caucasian and East Asian populations. However, no significant associations were detected among African descent populations. There was strong evidence of heterogeneity (P < 0.05), which largely disappeared after stratification by ethnicity. This meta-analysis demonstrated that FGFR2 polymorphism is a risk factor associated with increased BC susceptibility, but these associations vary in different ethnic populations.
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28
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Polymorphism of 8q24 rsl3281615 and breast cancer risk : a meta-analysis. Tumour Biol 2012; 34:421-8. [PMID: 23132293 DOI: 10.1007/s13277-012-0566-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Accepted: 10/19/2012] [Indexed: 01/08/2023] Open
Abstract
Several genome-wide association studies on breast cancer have reported similar findings of a new cancer susceptibility locus, 8q24 rsl3281615. Subsequent case-control studies have rapidly investigated the association between the single nucleotide polymorphism of rsl3281615 at chromosome 8q24 and breast cancer risk, but the effect of 8q24 rsl3281615 polymorphism on breast cancer is still unclear due to the inconsistence among those studies. Given the contradictory findings, a meta-analysis was performed to determine the association between 8q24 rsl3281615 polymorphism and breast cancer risk. 12 eligible case-control studies with a total of 42,508 cases and 53,928 controls were finally included into this meta-analysis by searching the PubMed, Embase, and China Biology Medicine (CBM) databases. We estimated the summary odds ratio (OR) with its corresponding 95 % confidence interval (95 % CI) to assess this association. Meta-analyses of total 12 studies showed 8q24 rsl3281615 polymorphism was significantly associated with an increased risk of breast cancer in all contrast models (OR(G vs. A) = 1.10, 95 % CI 1.05-1.14, P (OR) < 0.001; OR(GG vs. AA) = 1.20, 95 % CI 1.11-1.29, P (OR) < 0.001; OR(AG vs. AA) = 1.08, 95 % CI 1.05-1.12, P (OR) < 0.001; OR(GG vs. AA +AG) = 1.13, 95 % CI 1.07-1.19, P (OR) < 0.001; OR(GG+AG vs. AA) = 1.13, 95 % CI 1.07-1.19, P (OR) < 0.001). Meta-analyses of studies with high quality showed that 8q24 rsl3281615 polymorphism was still significantly associated with an increased risk of breast cancer under the five genetic contrast models. Sensitivity analyses by sequential omission of any individual studies and subgroup analyses by ethnicity further identified the significant association between 8q24 rsl3281615 polymorphism and breast cancer risk. Conclusively, this meta-analysis shows a significant association between 8q24 rsl3281615 polymorphism and breast cancer risk.
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Sandberg MEC, Hall P, Hartman M, Johansson ALV, Eloranta S, Ploner A, Czene K. Estrogen receptor status in relation to risk of contralateral breast cancer-a population-based cohort study. PLoS One 2012; 7:e46535. [PMID: 23056335 PMCID: PMC3466301 DOI: 10.1371/journal.pone.0046535] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Accepted: 08/31/2012] [Indexed: 02/03/2023] Open
Abstract
Background It is unclear whether estrogen receptor (ER)-status of first primary breast cancer is associated with risk of metachronous (non-simultaneous) contralateral breast cancer (CBC), and to what extent endocrine therapy affects this association. Methods We studied the effect of ER-status of the first cancer on the risk of CBC overall, and for different ER-subtypes of CBC, using a large, population-based cohort. The cohort consisted of all women diagnosed with breast cancer in the Stockholm region 1976–2005; 25715 patients, of whom 940 suffered CBC. The relative risk was analyzed mainly using standardized incidence ratios (SIR). Results Women with breast cancer had a doubled risk of CBC compared to the risk of breast cancer in the general female population (SIR: 2.22 [2.08–2.36]), for women with a previous ER-positive cancer: SIR = 2.30 (95% CI:2.11–2.50) and for women with a previous ER-negative cancer: SIR = 2.17 (95% CI:1.82–2.55). The relative risk of ER-positive and ER-negative CBC was very similar for women with ER-positive first cancer (SIR = 2.02 [95%CI: 1.80–2.27] and SIR = 1.89 [95%CI: 1.46–2.41] respectively) while for patients with ER-negative first cancer the relative risk was significantly different (SIR = 1.27 [95% CI:0.94–1.68] for ER-positive CBC and SIR = 4.96 [95%CI:3.67–6.56] for ER-negative CBC). Patients with ER-positive first cancer who received hormone therapy still had a significantly higher risk of CBC than the risk of breast cancer for the general female population (SIR = 1.74 [95% CI:1.47–2.03]). Conclusion The risk of CBC for a breast cancer patient is increased to about two-fold, compared to the risk of breast cancer in the general female population. This excess risk decreases, but does not disappear, with adjuvant endocrine therapy. Patients with ER-positive first cancers have an increased risk for CBC of both ER subtypes, while patients with ER-negative first cancer have a specifically increased risk of ER-negative CBC.
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Affiliation(s)
- Maria E C Sandberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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30
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Natrajan R, Mackay A, Lambros MB, Weigelt B, Wilkerson PM, Manie E, Grigoriadis A, A’Hern R, van der Groep P, Kozarewa I, Popova T, Mariani O, Turaljic S, Furney SJ, Marais R, Rodruigues DN, Flora AC, Wai P, Pawar V, McDade S, Carroll J, Stoppa-Lyonnet D, Green AR, Ellis IO, Swanton C, van Diest P, Delattre O, Lord CJ, Foulkes WD, Vincent-Salomon A, Ashworth A, Stern MH, Reis-Filho JS. A whole-genome massively parallel sequencing analysis of BRCA1 mutant oestrogen receptor-negative and -positive breast cancers. J Pathol 2012; 227:29-41. [PMID: 22362584 PMCID: PMC4976800 DOI: 10.1002/path.4003] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2012] [Revised: 01/29/2012] [Accepted: 01/31/2012] [Indexed: 12/12/2022]
Abstract
BRCA1 encodes a tumour suppressor protein that plays pivotal roles in homologous recombination (HR) DNA repair, cell-cycle checkpoints, and transcriptional regulation. BRCA1 germline mutations confer a high risk of early-onset breast and ovarian cancer. In more than 80% of cases, tumours arising in BRCA1 germline mutation carriers are oestrogen receptor (ER)-negative; however, up to 15% are ER-positive. It has been suggested that BRCA1 ER-positive breast cancers constitute sporadic cancers arising in the context of a BRCA1 germline mutation rather than being causally related to BRCA1 loss-of-function. Whole-genome massively parallel sequencing of ER-positive and ER-negative BRCA1 breast cancers, and their respective germline DNAs, was used to characterize the genetic landscape of BRCA1 cancers at base-pair resolution. Only BRCA1 germline mutations, somatic loss of the wild-type allele, and TP53 somatic mutations were recurrently found in the index cases. BRCA1 breast cancers displayed a mutational signature consistent with that caused by lack of HR DNA repair in both ER-positive and ER-negative cases. Sequencing analysis of independent cohorts of hereditary BRCA1 and sporadic non-BRCA1 breast cancers for the presence of recurrent pathogenic mutations and/or homozygous deletions found in the index cases revealed that DAPK3, TMEM135, KIAA1797, PDE4D, and GATA4 are potential additional drivers of breast cancers. This study demonstrates that BRCA1 pathogenic germline mutations coupled with somatic loss of the wild-type allele are not sufficient for hereditary breast cancers to display an ER-negative phenotype, and has led to the identification of three potential novel breast cancer genes (ie DAPK3, TMEM135, and GATA4).
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Affiliation(s)
- Rachael Natrajan
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Alan Mackay
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Maryou B Lambros
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Britta Weigelt
- Signal Transduction Laboratory, Cancer Research UK London Research
Institute, WC2A 3LY, UK
| | - Paul M Wilkerson
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Elodie Manie
- Institut Curie, INSERM U830, 75248 Paris, France
| | - Anita Grigoriadis
- Breakthrough Research Unit, Bermondsey Wing, Guy’s Hospital,
London, SE1 9RT, UK
| | - Roger A’Hern
- CRUK Clinical Trials Unit, The Institute of Cancer Research, Sutton,
SM2 5NG, UK
| | | | - Iwanka Kozarewa
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | | | - Odette Mariani
- Institut Curie, Department of Tumour Biology, 75248 Paris,
France
| | - Samra Turaljic
- Signal Transduction Team, Division of Cell and Molecular Biology,
The Institute of Cancer Research, London, SW3 6JB, UK
| | - Simon J Furney
- Signal Transduction Team, Division of Cell and Molecular Biology,
The Institute of Cancer Research, London, SW3 6JB, UK
| | - Richard Marais
- Signal Transduction Team, Division of Cell and Molecular Biology,
The Institute of Cancer Research, London, SW3 6JB, UK
| | - Daniel-Nava Rodruigues
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Adriana C Flora
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Patty Wai
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Vidya Pawar
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Simon McDade
- Centre for Cancer Research and Cell Biology, Queen’s
University, Belfast, BT9 7BL, Northern Ireland, UK
| | - Jason Carroll
- Nuclear Receptor Transcription Laboratory, Cancer Research UK
Cambridge Research Institute, Cambridge, CB2 0RE, UK
| | - Dominique Stoppa-Lyonnet
- Institut Curie, INSERM U830, 75248 Paris, France
- Institut Curie, Department of Tumour Biology, 75248 Paris,
France
| | - Andrew R Green
- Department of Histopathology, School of Molecular Medical Sciences,
University of Nottingham and Nottingham University Hospitals Trust, Nottingham, NG7
2UH, UK
| | - Ian O Ellis
- Department of Histopathology, School of Molecular Medical Sciences,
University of Nottingham and Nottingham University Hospitals Trust, Nottingham, NG7
2UH, UK
| | - Charles Swanton
- Translational Cancer Therapeutics Laboratory, Cancer Research UK
London Research Institute, WC2A 3LY, UK
- UCL Cancer Institute, Huntley Street, London WC1E 6DD, UK
| | - Paul van Diest
- University Medical Centre Utrecht, 3584 CX Utrecht, The
Netherlands
| | | | - Christopher J Lord
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - William D Foulkes
- Program in Cancer Genetics, Departments of Human Genetics and
Oncology, McGill University, Montreal, QC, H2W 1S6, Canada
| | - Anne Vincent-Salomon
- Institut Curie, INSERM U830, 75248 Paris, France
- Institut Curie, Department of Tumour Biology, 75248 Paris,
France
| | - Alan Ashworth
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
| | - Marc Henri Stern
- Institut Curie, INSERM U830, 75248 Paris, France
- Institut Curie, Department of Tumour Biology, 75248 Paris,
France
| | - Jorge S Reis-Filho
- The Breakthrough Breast Cancer Research Centre, The Institute of
Cancer Research, London, SW3 6JB, UK
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Gatti RA. SMRT compounds correct nonsense mutations in primary immunodeficiency and other genetic models. Ann N Y Acad Sci 2012; 1250:33-40. [PMID: 22364446 DOI: 10.1111/j.1749-6632.2012.06467.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Within less than 10 years after the realization of the double helix of DNA, the ability of aminoglycosides to influence the misreading or readthrough of premature termination codons was discovered. It took another three decades to clone and sequence disease genes and appreciate the similarity of mutation spectra for most inborn errors. Nonsense mutations once again have become the target of readthrough compounds. In this brief review, we trace the development in our laboratory of the next generation of readthrough agents, small molecule readthrough (SMRT) drug-like chemicals, and assays for comparing their in vitro activity. Possible mechanisms of action and potential clinical applications are considered.
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Affiliation(s)
- Richard A Gatti
- David Geffen/UCLA School of Medicine, Department of Pathology and Laboratory Medicine, and Human Genetics, Los Angeles, California 90095-1732, USA.
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