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Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk

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 retino...

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Autores principales: Cao, Dongliang, Meng, Yixuan, Li, Shuwei, Xin, Junyi, Ben, Shuai, Cheng, Yifei, Wang, Meilin, Hua, Lixin, Cheng, Gong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774741/
https://www.ncbi.nlm.nih.gov/pubmed/33068330
http://dx.doi.org/10.1002/cam4.3538
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author Cao, Dongliang
Meng, Yixuan
Li, Shuwei
Xin, Junyi
Ben, Shuai
Cheng, Yifei
Wang, Meilin
Hua, Lixin
Cheng, Gong
author_facet Cao, Dongliang
Meng, Yixuan
Li, Shuwei
Xin, Junyi
Ben, Shuai
Cheng, Yifei
Wang, Meilin
Hua, Lixin
Cheng, Gong
author_sort Cao, Dongliang
collection PubMed
description 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.
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spelling pubmed-77747412021-01-05 Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk Cao, Dongliang Meng, Yixuan Li, Shuwei Xin, Junyi Ben, Shuai Cheng, Yifei Wang, Meilin Hua, Lixin Cheng, Gong Cancer Med Clinical Cancer Research 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. John Wiley and Sons Inc. 2020-10-17 /pmc/articles/PMC7774741/ /pubmed/33068330 http://dx.doi.org/10.1002/cam4.3538 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Cao, Dongliang
Meng, Yixuan
Li, Shuwei
Xin, Junyi
Ben, Shuai
Cheng, Yifei
Wang, Meilin
Hua, Lixin
Cheng, Gong
Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title_full Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title_fullStr Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title_full_unstemmed Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title_short Association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
title_sort association study between genetic variants in retinol metabolism pathway genes and prostate cancer risk
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774741/
https://www.ncbi.nlm.nih.gov/pubmed/33068330
http://dx.doi.org/10.1002/cam4.3538
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