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Epidemiology |
1Comprehensive Cancer Center, Departments of 2Community and Family Medicine, 3Obstetrics and Gynecology, and 4Surgery, Duke University Medical Center, and 5Department of Statistical Science, Duke University, Durham, North Carolina; 6Mayo Clinic College of Medicine, Rochester, Minnesota; 7Department of Cancer Epidemiology and Prevention, The M. Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Warsaw, Poland; 8Division of Cancer Epidemiology and Genetics, National Cancer Institute and 9Core Genotyping Facility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland; 10Department of Occupational and Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland; 11The Queensland Institute of Medical Research, Post Office Royal Brisbane Hospital, Australia for Australian Cancer Study and the Australian Ovarian Cancer Group; 12Peter MacCallum Center, East Melbourne, Victoria, Australia; 13H. Lee Moffitt Cancer Center, Tampa, Florida; 14Department of Preventive Medicine, USC/Keck School of Medicine, Norris Comprehensive Cancer Center, 15Department of Urology, University of Southern California Norris Comprehensive Cancer Center, and 16University of Southern California Norris Comprehensive Cancer Center, Los Angeles, California; 17Epidemiology Program, Cancer Research Center of Hawaii, University of Hawaii, Honolulu, Hawaii; 18Gynaecolgical Cancer Research Centre, University College London, EGA Institute for Women's Health, London, United Kingdom; 19Department of Virus, Hormones and Cancer, Copenhagen, Danish Cancer Society and 20The Gynaecologic Clinic, The Juliane Marie Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; 21Department of Gynecology and Obstetrics, Aarhus University Hospital, Skejby, Aarhus, Denmark; 22Cancer Research UK Genetic Epidemiology Unit and 23Cancer Research UK Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Cambridge, United Kingdom; 24Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California; 25Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, California; 26Obstetrics and Gynecology Epidemiology Center and 27Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; and 28The Ovarian Cancer Association Consortium, Durham, North Carolina
* To whom correspondence should be addressed. E-mail: schil001{at}mc.duke.edu.
| Abstract |
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The p53 protein is critical for multiple cellular functions including cell growth and DNA repair. We assessed whether polymorphisms in the region encoding TP53 were associated with risk of invasive ovarian cancer. The study population includes a total of 5,206 invasive ovarian cancer cases (2,829 of which were serous) and 8,790 controls from 13 case-control or nested case-control studies participating in the Ovarian Cancer Association Consortium (OCAC). Three of the studies performed independent discovery investigations involving genotyping of up to 23 single nucleotide polymorphisms (SNP) in the TP53 region. Significant findings from this discovery phase were followed up for replication in the other OCAC studies. Mixed effects logistic regression was used to generate posterior median per allele odds ratios (OR), 95% probability intervals (PI), and Bayes factors (BF) for genotype associations. Five SNPs showed significant associations with risk in one or more of the discovery investigations and were followed up by OCAC. Mixed effects analysis confirmed associations with serous invasive cancers for two correlated (r2 = 0.62) SNPs: rs2287498 (median per allele OR, 1.30; 95% PI, 1.07–1.57) and rs12951053 (median per allele OR, 1.19; 95% PI, 1.01–1.38). Analyses of other histologic subtypes suggested similar associations with endometrioid but not with mucinous or clear cell cancers. This large study provides statistical evidence for a small increase in risk of ovarian cancer associated with common variants in the TP53 region. [Cancer Res 2009;69(6):2349–9]
Key Words: TP53, polymorphisms, ovarian cancer, epidemiology
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