sábado, 27 de octubre de 2018

Colorectal cancer susceptibility loci and influence on survival. - PubMed - NCBI

Colorectal cancer susceptibility loci and influence on survival. - PubMed - NCBI



 2018 Oct 22. doi: 10.1002/gcc.22674. [Epub ahead of print]

Colorectal cancer susceptibility loci and influence on survival.

Song N1Kim K2Shin A1,3,4Park JW5,6Chang HJ6Shi J7Cai Q7Kim DY6Zheng W7Oh JH6.

Abstract

Genome-wide association studies (GWAS) have identified multiple single-nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. To evaluate the potential influence of colorectal cancer susceptibility SNPs on disease prognosis, we investigated whether GWAS-identified colorectal cancer risk SNPs and polygenic risk scores (PRSs) might be associated with survival among colorectal cancer patients. A total of 1374 colorectal cancer patients were recruited from the Korean National Cancer Center. For genotyping, 30 colorectal cancer-susceptibility SNPs previously identified by GWAS were selected. The Cox proportional hazard model was used to evaluate associations of these risk SNPs and PRSs with disease-free survival (DFS) and overall survival (OS). The prognostic values were compared between genetic and nongenetic models using Harrell's c index. During the follow-up period (median: 88, 91 months for DFS and OS), 570 DFS (41.5%) and 487 OS (35.4%) events were observed. We found that 5 SNPs were significantly associated with DFS or OS among colorectal cancer patients at P < .05: rs10936599 at 3q26.2 (MYNN), rs704017 at 10q22.3 (ZMIZ1-AS1), rs11196172 at 10q25.2 (TCF7L2), rs3802842 at 11q23.1 (COLCA1-2), and rs9929218 at 16q22.1 (CDH1). The PRSs constructed using these 5 SNPs were associated with worse survival (DFS: Ptrend  = .02 unweighted PRS, Ptrend  = .01 weighted PRS, OS: Ptrend  = 3.7 × 10-3 unweighted, Ptrend  = .02 weighted PRS). Our results suggest that several colorectal cancer susceptibility SNPs might also be related to survival by influencing disease progression.

KEYWORDS:

colorectal cancer; genetic epidemiology; polygenic risk score; single-nucleotide polymorphism; survival analysis

PMID:
 
30350386
 
DOI:
 
10.1002/gcc.22674

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