Excess estrogen exposure unopposed by progesterone is associated with increased risk of endometrial cancer. Polymorphisms in genes involved in estrogen metabolism influence the levels of these hormones and may be associated with an altered risk of endometrial cancer. To date no studies of these polymorphisms have been reported in relation to endometrial cancer and little information is available on the relation between these polymorphisms and circulating hormone levels. Endometrial cancer is particularly worth studying because it is the most estrogen responsive tumor and thus modest effects of hormone-metabolizing genes may be more easily detectable. We propose to use the resources of the well-characterized cohort, the Nurses' Health Study, to ascertain the common polymorphisms in key hormone-related genes and to assess whether these genotypes are predictive of future endometrial cancer risk, as well as assessing the functional significance of the variant alleles of these genes by correlating these variants with plasma hormone levels. We will identify and characterize polymorphisms within CYP19 and the progesterone receptor, as well as quantify the association of the known polymorphisms CYP17-A2, COMT-MET, UGT-A(TA)7AA with endometrial cancer and test whether these associations are modified by established endometrial cancer risk factors. These studies will be nested in the subcohort of 32,826 women from Nurses' Health Study who gave blood samples in 1989-1990, and thus will be among the few studies able to prospectively examine these issues in a defined cohort with complete ascertainment of incident cases and comprehensive prospective information on other endometrial cancer risk factors. Matching two controls to each case we will have 98% power to detect a relative risk of 2.0 and 80% power to detect a relative risk of 1.75 for a polymorphism with an 8% homozygous mutant genotype prevalence.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA082838-01
Application #
2898831
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Verma, Mukesh
Project Start
1999-08-16
Project End
2004-05-31
Budget Start
1999-08-16
Budget End
2000-05-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02115
O'Mara, Tracy A; Glubb, Dylan M; Amant, Frederic et al. (2018) Identification of nine new susceptibility loci for endometrial cancer. Nat Commun 9:3166
Busch, Evan L; Crous-Bou, Marta; Prescott, Jennifer et al. (2018) Adiponectin, Leptin, and Insulin-Pathway Receptors as Endometrial Cancer Subtyping Markers. Horm Cancer 9:33-39
Mons, Ute; Müezzinler, Aysel; Schöttker, Ben et al. (2017) Leukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies. Am J Epidemiol 185:1317-1326
Jordan, Susan J; Na, Renhua; Johnatty, Sharon E et al. (2017) Breastfeeding and Endometrial Cancer Risk: An Analysis From the Epidemiology of Endometrial Cancer Consortium. Obstet Gynecol 129:1059-1067
Julin, Bettina; Shui, Irene M; Prescott, Jennifer et al. (2017) Plasma vitamin D biomarkers and leukocyte telomere length in men. Eur J Nutr 56:501-508
Busch, Evan L; Crous-Bou, Marta; Prescott, Jennifer et al. (2017) Endometrial Cancer Risk Factors, Hormone Receptors, and Mortality Prediction. Cancer Epidemiol Biomarkers Prev 26:727-735
Chen, Maxine M; O'Mara, Tracy A; Thompson, Deborah J et al. (2016) GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer. Hum Mol Genet 25:2612-2620
Birmann, Brenda M; Barnard, Mollie E; Bertrand, Kimberly A et al. (2016) Nurses' Health Study Contributions on the Epidemiology of Less Common Cancers: Endometrial, Ovarian, Pancreatic, and Hematologic. Am J Public Health 106:1608-15
Gadalla, Shahinaz M; Khincha, Payal P; Katki, Hormuzd A et al. (2016) The limitations of qPCR telomere length measurement in diagnosing dyskeratosis congenita. Mol Genet Genomic Med 4:475-9
Chen, Xiaoli; Gelaye, Bizu; Velez, Juan Carlos et al. (2015) Caregivers' hair cortisol: a possible biomarker of chronic stress is associated with obesity measures among children with disabilities. BMC Pediatr 15:9

Showing the most recent 10 out of 82 publications