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About this Publication
Title
Genetic variants in the cholesterol biosynthesis pathway genes and risk of prostate cancer.
Pubmed ID
33444688 (View this publication on the PubMed website)
Digital Object Identifier
Publication
Gene. 2021 Jan 12; Volume 774: Pages 145432
Authors
Cheng Y, Meng Y, Li S, Cao D, Ben S, Qin C, Hua L, Cheng G
Affiliations
  • Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
  • Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: lixinhua@njmu.edu.cn.
  • Department of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. Electronic address: gcheng@njmu.edu.cn.
Abstract

Previous studies have found the relationship between cholesterol biosynthesis pathway genes and the risk or prognosis of prostate cancer (PCa), while there is no definite evidence that genetic variants in the cholesterol biosynthesis pathway gene is related to PCa risk. Consequently, we performed this study to explore the associations of single-nucleotide polymorphisms (SNPs) in the cholesterol biosynthesis pathway with PCa risk. We systematically evaluated the association of SNPs in 21 cholesterol biosynthesis pathway genes with the risk of PCa using the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial database using a logistic regression model. Gene expression data of PCa from Gene Expression Omnibus (GEO) datasets and the Cancer Genome Atlas (TCGA) database were applied for mRNA expression analysis. The TCGA database was used to perform expression quantitative trait loci (eQTL) analysis. The interaction between demographic factors and SNPs was analyzed using two-by-four tables. We found T allele of rs67415672 in HMGCS1 is a significant protective allele of PCa [adjusted odds ratio (OR) = 0.90, 95% confidence interval (CI) = 0.83-0.97, P = 4.16 × 10-3]. Moreover, rs67415672 was an eQTL for HMGCS1 (P = 2.23 × 10-6). The expression of HMGCS1 significantly decreased in PCa primary tumors than that in normal tissues. These findings indicated that the HMGCS1 rs67415672 might be possible functional susceptibility loci for PCa.

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