Dataset Information

The genetic epidemiology of early-onset epithelial ovarian cancer: a population-based study.

ABSTRACT: We conducted a population-based study to determine the contribution of germline mutations in known candidate genes to ovarian cancer diagnosed at age <30 years. Women with epithelial ovarian cancer were identified through cancer registries. DNA samples were analyzed for mutations in BRCA1, the "ovarian cancer-cluster region" (nucleotides 3139-7069) of BRCA2, and the mismatch-repair genes hMSH2 and hMLH1. Probable germline mutations in hMLH1 were identified in 2 (2%; 95% confidence interval 1%-8%) of 101 women with invasive ovarian cancer diagnosed at age <30 years. No germline mutations were identified in any of the other genes analyzed. There were no striking pedigrees suggestive of families with either breast/ovarian cancer or hereditary nonpolyposis colorectal cancer (HNPCC). There was a significantly increased incidence of all cancers in first-degree relatives of women with invasive disease (relative risk [RR] = 1.6, P=.01) but not in second-degree relatives or in relatives of women with borderline cases. First-degree relatives of women with invasive disease had increased risks of ovarian cancer (RR = 4.8, P=.03), myeloma (RR = 10, P=.01), and non-Hodgkin lymphoma (RR = 7, P=.004). Germline mutations in BRCA1, BRCA2, msh2, and mlh1 contribute to only a minority of cases of early-onset epithelial ovarian cancer. Our data suggest that early-onset ovarian cancer is not associated with a greatly increased risk of cancer in close relatives.

SUBMITTER: Stratton JF

PROVIDER: S-EPMC1288384 | biostudies-literature | 1999 Dec

REPOSITORIES: biostudies-literature

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The genetic epidemiology of early-onset epithelial ovarian cancer: a population-based study.

Stratton J F JF Thompson D D Bobrow L L Dalal N N Gore M M Bishop D T DT Scott I I Evans G G Daly P P Easton D F DF Ponder B A BA

American journal of human genetics 19991201 6

We conducted a population-based study to determine the contribution of germline mutations in known candidate genes to ovarian cancer diagnosed at age <30 years. Women with epithelial ovarian cancer were identified through cancer registries. DNA samples were analyzed for mutations in BRCA1, the "ovarian cancer-cluster region" (nucleotides 3139-7069) of BRCA2, and the mismatch-repair genes hMSH2 and hMLH1. Probable germline mutations in hMLH1 were identified in 2 (2%; 95% confidence interval 1%-8% ...[more]

PMID: 10577927

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Project description:IntroductionLess than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to OC disparities.Methods and analysisWe will use the Surveillance Epidemiology and Ends Results dataset linked with Medicare claims data from 9744 patients with OC ages 65 years and older. We will recruit 1641 patients with OC (413 black, 299 Hispanic and 929 white) from cancer registries in nine US states. We will examine HCA dimensions in relation to three main outcomes: (1) receipt of quality, guideline adherent initial treatment and supportive care, (2) quality of life based on patient-reported outcomes and (3) survival. We will obtain saliva and vaginal microbiome samples to examine prognostic biomarkers. We will use hierarchical regression models to estimate the impact of HCA dimensions across patient, neighbourhood, provider and hospital levels, with random effects to account for clustering. Multilevel structural equation models will estimate the total, direct and indirect effects of race on treatment mediated through HCA dimensions.Ethics and disseminationResult dissemination will occur through presentations at national meetings and in collaboration with collaborators, community partners and colleagues across othercancer centres. We will disclose findings to key stakeholders, including scientists, providers and community members. This study has been approved by the Duke Institutional Review Board (Pro00101872). Safety considerations include protection of patient privacy. All disseminated data will be deidentified and summarised.

Dataset Information

The genetic epidemiology of early-onset epithelial ovarian cancer: a population-based study.

Publications

The genetic epidemiology of early-onset epithelial ovarian cancer: a population-based study.

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