Abstract

Ovarian cancer survival varies considerably among patients, to which germline variation may also contribute in addition to mutational signatures. To identify genetic markers modulating ovarian cancer outcome, we performed a genome-wide association study in 2130 Chinese ovarian cancer patients and found a hitherto unrecognized locus at 3p26.1 to be associated with the overall survival (Pcombined = 8.90 × 10−10). Subsequent statistical fine-mapping, functional annotation, and eQTL mapping prioritized a likely casual SNP rs9311399 in the non-coding regulatory region. Mechanistically, rs9311399 altered its enhancer activity through an allele-specific transcription factor binding and a long-range interaction with the promoter of a lncRNA BHLHE40-AS1. Deletion of the rs9311399-associated enhancer resulted in expression changes in several oncogenic signaling pathway genes and a decrease in tumor growth. Thus, we have identified a novel genetic locus that is associated with ovarian cancer survival possibly through a long-range gene regulation of oncogenic pathways.

Highlights

  • Ovarian cancer is the second most lethal gynecological malignancy after cervical cancer in China[1]

  • Only rs7631664 met the conventional genome-wide significance threshold of P = 5 × 10−8, with hazard ratios (HRs) of 1.60 in the discovery stage, 1.56 (1.24–1.95) in the replication stage, and 1.58 (1.37–1.83) in the joint analysis (Fig. 1b and Supplementary Table S1)

  • The removal of rs9311399associated enhancer fragments led to an alteration in cancer-related pathways and tumorigenic capacity in ovarian cancer cells. In this two-stage genome-wide association studies (GWASs) study of 2130 ovarian cancer patients on genetic factors for survival, we used four different bioinformatics and experimental approaches and identified a hitherto unrecognized survival-associated locus at 3p26.1, where a putative causal SNP rs9311399 is located, which was found to be significantly associated with overall survival (OS) of the patients

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Summary

Introduction

Ovarian cancer is the second most lethal gynecological malignancy after cervical cancer in China[1]. Several clinical features and epidemiologic risk factors, including patient age, health status, lifestyle behaviors, tumor characteristics, and response to treatment, have been used to predict ovarian cancer survival[4,5,6]. These factors only partially explain the observed heterogeneity of survival among ovarian cancer patients. In family studies[8,9,10,11] and genome-wide association studies (GWASs)[12,13,14], many rare and common germline variants have been identified to confer susceptibility to ovarian cancer.

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