Open AccessAssociation study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
Author(s) -
Cao Dongliang,
Meng Yixuan,
Li Shuwei,
Xin Junyi,
Ben Shuai,
Cheng Yifei,
Wang Meilin,
Hua Lixin,
Cheng Gong
Publication year - 2020
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.3538
Subject(s) - prostate cancer , single nucleotide polymorphism , expression quantitative trait loci , odds ratio , genome wide association study , biology , prostate , snp , oncology , genotype , cancer , genetic association , medicine , genetics , gene , bioinformatics
Background Evidence suggests that serum retinol level is associated with prostate cancer risk, but the association between genetic variants in the retinol metabolism pathway genes and prostate cancer risk remains unclarified. Methods Single‐nucleotide polymorphisms (SNPs) in 31 genes in the retinol metabolism pathway were genotyped to evaluate the association with prostate cancer risk in 4,662 cases and 3,114 controls from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. The gene expression analysis was evaluated using data from the Gene Expression Omnibus (GEO) datasets and the Cancer Genome Atlas (TCGA) database. Data from the Genotype‐Tissue Expression (GTEx) project dataset were utilized to perform the expression quantitative trait loci (eQTL) analysis. Results Two SNPs were significantly associated with prostate cancer risk [rs1330286 in ALDH1A1 : odds ratio (OR) = 0.88, 95% confidence interval (CI) = 0.83‐0.94, p = 2.45 × 10 −4 ; rs4646653 in ALDH1A3 : OR = 1.17, 95% CI =1.07‐1.27, p = 4.33 × 10 −4 ]. Moreover, the mRNA level of ALDH1A3 was significantly higher in prostate cancer tissues than in normal tissues in both TCGA datasets and GEO datasets ( p = 1.63 × 10 −12 and p = 4.33 × 10 −2 , respectively). rs1330286 was an eQTL of ALDH1A1 ( P = 2.90 × 10 −3 ). Conclusion Our findings highlight that genetic variants in retinol metabolism pathway genes are associated with prostate cancer risk.