Abstract
Women with epithelial ovarian cancer (EOC) are usually treated with platinum/taxane therapy after cytoreductive surgery but there is considerable inter-individual variation in response. To identify germline single-nucleotide polymorphisms (SNPs) that contribute to variations in individual responses to chemotherapy, we carried out a multi-phase genome-wide association study (GWAS) in 1,244 women diagnosed with serous EOC who were treated with the same first-line chemotherapy, carboplatin and paclitaxel. We identified two SNPs (rs7874043 and rs72700653) in TTC39B (best P=7×10−5, HR=1.90, for rs7874043) associated with progression-free survival (PFS). Functional analyses show that both SNPs lie in a putative regulatory element (PRE) that physically interacts with the promoters of PSIP1, CCDC171 and an alternative promoter of TTC39B. The C allele of rs7874043 is associated with poor PFS and showed increased binding of the Sp1 transcription factor, which is critical for chromatin interactions with PSIP1. Silencing of PSIP1 significantly impaired DNA damage-induced Rad51 nuclear foci and reduced cell viability in ovarian cancer lines. PSIP1 (PC4 and SFRS1 Interacting Protein 1) is known to protect cells from stress-induced apoptosis, and high expression is associated with poor PFS in EOC patients. We therefore suggest that the minor allele of rs7874043 confers poor PFS by increasing PSIP1 expression.
Highlights
Ovarian cancer is the fifth leading cause of cancer deaths among women worldwide with an estimated 225,500 new cases annually [1]
We have carried out the first Genome-wide association studies (GWAS) of progression-free survival (PFS) in European women diagnosed with epithelial ovarian cancer (EOC)
We identified two single-nucleotide polymorphisms (SNPs) in strong linkage disequilibrium (LD) in an intron of the TTC39B gene that were associated with worse PFS in patients with serous EOC
Summary
Ovarian cancer is the fifth leading cause of cancer deaths among women worldwide with an estimated 225,500 new cases annually [1]. We and others have used the candidate gene approach to identify ATPbinding cassette family members that might be associated with PFS [4, 5]. These findings have not been convincingly validated [5, 6]. It has been difficult to compile germline DNA and detailed treatment and clinical follow-up information on a sufficiently large number of patients to provide enough statistical power to detect loci associated with PFS or overall survival (OS)
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