The progesterone receptor gene (PGR) is a strong candidate gene for invasive epithelial ovarian cancer (ovarian cancer) susceptibility based on both experimental and epidemiologic observations. Progesterone shows a strong inhibitory effect on ovarian tumor cell proliferation and progesterone receptor (PR) expression is down regulated in ovarian tumor cells relative to normal ovarian surface epithelial cells. Also, PR-positive tumors are associated with improved prognosis and frequent loss of heterozygosity at the PGR locus is observed in ovarian tumors. Both pregnancy and oral contraceptive (OC) use, which represent states of higher progesterone, are protective against ovarian cancer. We have shown that a single nucleotide polymorphism (SNP) in the PGR, rs608995, and the two haplotypes on which it resides, is associated with an approximately 3-fold increased risk of ovarian cancer in two case-control studies conducted in Los Angeles County over the past decade. This application seeks to narrow down the 90 kb genomic region of the PGR which harbors an ovarian cancer susceptibility allele(s). This important step of narrowing down this region will help guide functional studies that could identify the causal allele(s) and possibly lead to preventive and therapeutic interventions. To accomplish this objective we are proposing to genotype additional SNPs in a multiethnic gene characterization panel of healthy women and to conduct SNP discovery among ovarian cancer cases and controls to refine the linkage disequilibrium (block) structure of the risk region. After examining the haplotypic diversity of the newly refined risk region, we will identify the SNPs required to describe the diversity and genotype them in a new case-control study sample including 338 cases and 380 controls. We will also test our previous two case-control studies for any additional identified SNPs, including 326 cases and 493 controls (many of the SNPs have already been tested in these populations).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Research Grants (R03)
Project #
5R03CA113148-02
Application #
6951379
Study Section
Special Emphasis Panel (ZCA1-SRRB-Q (O1))
Program Officer
Arena, Jose Fernando
Project Start
2004-09-22
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2007-08-31
Support Year
2
Fiscal Year
2005
Total Cost
$81,292
Indirect Cost
Name
University of Southern California
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Harris, Holly R; Babic, Ana; Webb, Penelope M et al. (2018) Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 27:174-182
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Peres, Lauren C; Risch, Harvey; Terry, Kathryn L et al. (2018) Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies. Int J Epidemiol 47:460-472
Liu, Gang; Mukherjee, Bhramar; Lee, Seunggeun et al. (2018) Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. Am J Epidemiol 187:366-377
Ong, Jue-Sheng; Hwang, Liang-Dar; Cuellar-Partida, Gabriel et al. (2018) Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study. Int J Epidemiol 47:450-459
Earp, Madalene; Tyrer, Jonathan P; Winham, Stacey J et al. (2018) Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility. PLoS One 13:e0197561
Praestegaard, Camilla; Jensen, Allan; Jensen, Signe M et al. (2017) Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies. Int J Cancer 140:2422-2435
Reid, Brett M; Permuth, Jennifer B; Chen, Y Ann et al. (2017) Integration of Population-Level Genotype Data with Functional Annotation Reveals Over-Representation of Long Noncoding RNAs at Ovarian Cancer Susceptibility Loci. Cancer Epidemiol Biomarkers Prev 26:116-125
Minlikeeva, Albina N; Freudenheim, Jo L; Eng, Kevin H et al. (2017) History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium. Cancer Epidemiol Biomarkers Prev 26:1470-1473
Kar, Siddhartha P; Adler, Emily; Tyrer, Jonathan et al. (2017) Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. Br J Cancer 116:524-535

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