Oncotarget

Research Papers:

Correlation between polymorphisms in microRNA-regulated genes and cervical cancer susceptibility in a Xinjiang Uygur population

Jing Fang _, Ying Li, Jiayi Zhang, Mengdan Yan, Jingjie Li, Shan Bao and Tianbo Jin

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Oncotarget. 2017; 8:31758-31764. https://doi.org/10.18632/oncotarget.15970

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Abstract

Jing Fang1,*, Ying Li2,*, Jiayi Zhang3,4, Mengdan Yan3,4, Jingjie Li3,4, Shan Bao5 and Tianbo Jin3,4

1Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China

2Department of Radiology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi 710077, China

3Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China

4Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi 710075, China

5Clinic of Gynecology and Obstetrics, Hainan Provincial People’s Hospital, Haikou 570102, China

*These authors have contributed equally to this work and should be considered as joint first authors

Correspondence to:

Shan Bao, email: shanbaohainan@163.com

Tianbo Jin, email: jintianbo@gmail.com

Keywords: association study, cervical cancer, MicroRNA gene, single nucleotide polymorphisms (SNPs)

Received: November 14, 2016     Accepted: February 15, 2017     Published: March 07, 2017

ABSTRACT

We explored the correlation between single nucleotide polymorphisms (SNPs) and susceptibility to cervical cancer (CC) in a Xinjiang Uygur population. Ten SNPs in eight miRNA-regulated genes were selected for analysis. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used to detect correlations between SNPs and CC. We found that minor allele “C” of rs512715 in NEAT1 was associated with an increased risk of CC in the allele, codominant, dominant, overdominant and log-additive models. Minor allele “C” of rs4777498 in CELF6 was associated with an increased risk of CC in the recessive model. Minor allele “C” of rs3094 in RNASE4 was associated with increased risk of CC in the allele, dominant and log-additive models. In clinical stage III/IV CC patients, minor allele “C” of rs3094 in RNASE4 and minor allele “C” of rs8004334 in JDP2 were associated with increased risk. In subtype squamous carcinoma CC patients, minor allele “C” of rs512715 in NEAT1 and minor allele “C” of rs3094 in RNASE4 were associated with increased risk. In subtype adenocarcinoma CC patients, minor allele “C” of rs3094 in RNASE was associated with increased risk.


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