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Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population

MicroRNAs (miRNAs) are key regulators of gene expression; however, the extent to which single nucleotide polymorphisms (SNPs) interfere with miRNA gene regulation and affect cervical cancer (CC) susceptibility remains largely unknown. Here, we systematically analyzed miRNA-related SNPs and their ass...

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Autores principales: Jin, Tianbo, Wu, Xiaohong, Yang, Hua, Liu, Ming, He, Yongjun, He, Xue, Shi, Xugang, Wang, Fengjiao, Du, Shuli, Ma, Yajuan, Bao, Shan, Yuan, Dongya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363537/
https://www.ncbi.nlm.nih.gov/pubmed/27765929
http://dx.doi.org/10.18632/oncotarget.12299
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author Jin, Tianbo
Wu, Xiaohong
Yang, Hua
Liu, Ming
He, Yongjun
He, Xue
Shi, Xugang
Wang, Fengjiao
Du, Shuli
Ma, Yajuan
Bao, Shan
Yuan, Dongya
author_facet Jin, Tianbo
Wu, Xiaohong
Yang, Hua
Liu, Ming
He, Yongjun
He, Xue
Shi, Xugang
Wang, Fengjiao
Du, Shuli
Ma, Yajuan
Bao, Shan
Yuan, Dongya
author_sort Jin, Tianbo
collection PubMed
description MicroRNAs (miRNAs) are key regulators of gene expression; however, the extent to which single nucleotide polymorphisms (SNPs) interfere with miRNA gene regulation and affect cervical cancer (CC) susceptibility remains largely unknown. Here, we systematically analyzed miRNA-related SNPs and their association with CC risk, and performed a case-control study of miR-17-5p SNPs and CC risk in a Chinese population. Sixteen SNPs were genotyped in 247 CC cases and 285 controls. Three were associated with CC risk (p < 0.05): the minor allele (A) of rs217727 in H19 increased risk (OR = 1.53, p = 0.002), while the minor alleles (T) of rs9931702 and (T) of rs9302648 in AKTIP decreased CC risk (p = 0.018, p = 0.014). Analysis of the SNPs after stratification based on CC clinical stage and subtype revealed that rs1048512, rs6659346, rs217727, rs9931702, and rs9302648 were associated with CC risk in clinical stages I-II; rs2862833, rs2732044, rs1030389, and rs1045935 were associated with CC risk in clinical stages III-IV; and rs217727, rs9931702, and rs9302648 were associated with CC risk in squamous carcinomas. These data could serve as a useful resource for understanding the miR-17 function, identification of miRNAs associated with CC, and development of better CC screening strategies.
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spelling pubmed-53635372017-03-29 Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population Jin, Tianbo Wu, Xiaohong Yang, Hua Liu, Ming He, Yongjun He, Xue Shi, Xugang Wang, Fengjiao Du, Shuli Ma, Yajuan Bao, Shan Yuan, Dongya Oncotarget Research Paper MicroRNAs (miRNAs) are key regulators of gene expression; however, the extent to which single nucleotide polymorphisms (SNPs) interfere with miRNA gene regulation and affect cervical cancer (CC) susceptibility remains largely unknown. Here, we systematically analyzed miRNA-related SNPs and their association with CC risk, and performed a case-control study of miR-17-5p SNPs and CC risk in a Chinese population. Sixteen SNPs were genotyped in 247 CC cases and 285 controls. Three were associated with CC risk (p < 0.05): the minor allele (A) of rs217727 in H19 increased risk (OR = 1.53, p = 0.002), while the minor alleles (T) of rs9931702 and (T) of rs9302648 in AKTIP decreased CC risk (p = 0.018, p = 0.014). Analysis of the SNPs after stratification based on CC clinical stage and subtype revealed that rs1048512, rs6659346, rs217727, rs9931702, and rs9302648 were associated with CC risk in clinical stages I-II; rs2862833, rs2732044, rs1030389, and rs1045935 were associated with CC risk in clinical stages III-IV; and rs217727, rs9931702, and rs9302648 were associated with CC risk in squamous carcinomas. These data could serve as a useful resource for understanding the miR-17 function, identification of miRNAs associated with CC, and development of better CC screening strategies. Impact Journals LLC 2016-09-28 /pmc/articles/PMC5363537/ /pubmed/27765929 http://dx.doi.org/10.18632/oncotarget.12299 Text en Copyright: © 2016 Jin et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Jin, Tianbo
Wu, Xiaohong
Yang, Hua
Liu, Ming
He, Yongjun
He, Xue
Shi, Xugang
Wang, Fengjiao
Du, Shuli
Ma, Yajuan
Bao, Shan
Yuan, Dongya
Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title_full Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title_fullStr Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title_full_unstemmed Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title_short Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
title_sort association of the mir-17-5p variants with susceptibility to cervical cancer in a chinese population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5363537/
https://www.ncbi.nlm.nih.gov/pubmed/27765929
http://dx.doi.org/10.18632/oncotarget.12299
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