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Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population
As promising biomarkers and therapy targets, microRNAs (miRNAs) are involved in various physiological and tumorigenic processes. Genetic variants in miRNA‐binding sites can lead to dysfunction of miRNAs and contribute to disease. However, systematic investigation of the miRNA‐related single nucleoti...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011162/ https://www.ncbi.nlm.nih.gov/pubmed/31880394 http://dx.doi.org/10.1111/jcmm.14906 |
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author | Ke, Juntao Peng, Xiating Mei, Shufang Tian, Jianbo Ying, Pingting Yang, Nan Wang, Xiaoyang Zou, Danyi Yang, Yang Zhu, Ying Gong, Yajie Gong, Jing Zhong, Rong Chang, Jiang Fang, Zemin Miao, Xiaoping |
author_facet | Ke, Juntao Peng, Xiating Mei, Shufang Tian, Jianbo Ying, Pingting Yang, Nan Wang, Xiaoyang Zou, Danyi Yang, Yang Zhu, Ying Gong, Yajie Gong, Jing Zhong, Rong Chang, Jiang Fang, Zemin Miao, Xiaoping |
author_sort | Ke, Juntao |
collection | PubMed |
description | As promising biomarkers and therapy targets, microRNAs (miRNAs) are involved in various physiological and tumorigenic processes. Genetic variants in miRNA‐binding sites can lead to dysfunction of miRNAs and contribute to disease. However, systematic investigation of the miRNA‐related single nucleotide polymorphisms (SNPs) for pancreatic cancer (PC) risk remains elusive. We performed integrative bioinformatics analyses to select 31 SNPs located in miRNA‐target binding sites using the miRNASNP v2.0, a solid database providing miRNA‐related SNPs for genetic research, and investigated their associations with risk of PC in two large case‐control studies totally including 1847 cases and 5713 controls. We observed that the SNP rs3802266 is significantly associated with increased risk of PC (odds ratio (OR) = 1.21, 95% confidence intervals (CI) = 1.11‐1.31, P = 1.29E‐05). Following luciferase reporter gene assays show that rs3802266‐G creates a stronger binding site for miR‐181a‐2‐3p in 3′ untranslated region (3′UTR) of the gene ZHX2. Expression quantitative trait loci (eQTL) analysis suggests that ZHX2 expression is lower in individuals carrying rs3802266‐G with increased PC risk. In conclusion, our findings highlight the involvement of miRNA‐binding SNPs in PC susceptibility and provide new clues for PC carcinogenesis. |
format | Online Article Text |
id | pubmed-7011162 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70111622020-02-18 Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population Ke, Juntao Peng, Xiating Mei, Shufang Tian, Jianbo Ying, Pingting Yang, Nan Wang, Xiaoyang Zou, Danyi Yang, Yang Zhu, Ying Gong, Yajie Gong, Jing Zhong, Rong Chang, Jiang Fang, Zemin Miao, Xiaoping J Cell Mol Med Original Articles As promising biomarkers and therapy targets, microRNAs (miRNAs) are involved in various physiological and tumorigenic processes. Genetic variants in miRNA‐binding sites can lead to dysfunction of miRNAs and contribute to disease. However, systematic investigation of the miRNA‐related single nucleotide polymorphisms (SNPs) for pancreatic cancer (PC) risk remains elusive. We performed integrative bioinformatics analyses to select 31 SNPs located in miRNA‐target binding sites using the miRNASNP v2.0, a solid database providing miRNA‐related SNPs for genetic research, and investigated their associations with risk of PC in two large case‐control studies totally including 1847 cases and 5713 controls. We observed that the SNP rs3802266 is significantly associated with increased risk of PC (odds ratio (OR) = 1.21, 95% confidence intervals (CI) = 1.11‐1.31, P = 1.29E‐05). Following luciferase reporter gene assays show that rs3802266‐G creates a stronger binding site for miR‐181a‐2‐3p in 3′ untranslated region (3′UTR) of the gene ZHX2. Expression quantitative trait loci (eQTL) analysis suggests that ZHX2 expression is lower in individuals carrying rs3802266‐G with increased PC risk. In conclusion, our findings highlight the involvement of miRNA‐binding SNPs in PC susceptibility and provide new clues for PC carcinogenesis. John Wiley and Sons Inc. 2019-12-27 2020-02 /pmc/articles/PMC7011162/ /pubmed/31880394 http://dx.doi.org/10.1111/jcmm.14906 Text en © 2019 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and 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 | Original Articles Ke, Juntao Peng, Xiating Mei, Shufang Tian, Jianbo Ying, Pingting Yang, Nan Wang, Xiaoyang Zou, Danyi Yang, Yang Zhu, Ying Gong, Yajie Gong, Jing Zhong, Rong Chang, Jiang Fang, Zemin Miao, Xiaoping Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title | Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title_full | Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title_fullStr | Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title_full_unstemmed | Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title_short | Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population |
title_sort | evaluation of polymorphisms in microrna‐binding sites and pancreatic cancer risk in chinese population |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011162/ https://www.ncbi.nlm.nih.gov/pubmed/31880394 http://dx.doi.org/10.1111/jcmm.14906 |
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