Literature DB >> 28470677

Genetic polymorphisms associated with pancreatic cancer survival: a genome-wide association study.

Hongwei Tang1, Peng Wei2, Ping Chang1, Yanan Li1, Dong Yan1, Chang Liu1, Manal Hassan1, Donghui Li1.   

Abstract

Previous findings on the association of genetic factors and pancreatic cancer survival are limited and inconsistent. In a two-stage study, we analyzed the existing genome-wide association study dataset of 868 pancreatic cancer patients from MD Anderson Cancer Center in relation to overall survival using Cox regression. Top hits were selected for replication in another 820 patients from the same institution using the Taqman genotyping method. Functional annotation, pathway analysis and gene expression analysis were conducted using existing software and databases. We discovered genome-wide significant associations of patient survival with three imputed SNPs which, in complete LD (r2  = 1), were intronic SNPs of the PAIP2B (rs113988120) and DYSF genes (rs112493246 and rs138529893) located on Chromosome 2. The variant alleles were associated with a 3.06-fold higher risk of death [95% confidence interval (CI) = 2.10-4.47, p=6.4 × 10-9] after adjusting for clinical factors. Eleven SNPs were tested in the replication study and the association of rs113988120 with survival was confirmed (hazard ratio: 1.57, 95% CI: 1.13-2.20,  p=0.008). In silico analysis found rs1139988120 might lead to altered motif. This locus is in LD (D' = 0.77) with three eQTL SNPs near or belong to the NAGK and MCEE genes. According to The Cancer Genome Atlas data and our previous RNA-sequencing data, the mRNA expression level of PAIP2B but not NAGK, MCEE or DYSF was significantly lower in pancreatic tumors than in normal adjacent tissues. Additional validation efforts and functional studies are warranted to demonstrate whether PAIP2B is a novel tumor suppressor gene and a potential therapeutic target for pancreatic cancer.
© 2017 UICC.

Entities:  

Keywords:  GWAS; SNP; pancreatic cancer; prognosis; survival

Mesh:

Substances:

Year:  2017        PMID: 28470677      PMCID: PMC5851439          DOI: 10.1002/ijc.30762

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


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