Research Papers:
Association of the miR-17-5p variants with susceptibility to cervical cancer in a Chinese population
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Abstract
Tianbo Jin1,2,3,4,*, Xiaohong Wu5,*, Hua Yang4, Ming Liu6, Yongjun He1,2,3, Xue He1,2,3, Xugang Shi4, Fengjiao Wang4, Shuli Du4, Yajuan Ma4, Shan Bao7, Dongya Yuan1,2,3
1Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi 712082, China
2Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi 712082, China
3Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi 712082, China
4Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi 710075, China
5Department of Maternity care, Xi’an Maternal and Child Health Hospital, Xi’an, Shaanxi 710002, China
6Department of Obstetrics and Gynecology, Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an 710004, China
7Clinic of Gynecology and Obstetrics, Hainan Provincial People’s Hospital, Haikou, 570102, China
*Joint first authors
Correspondence to:
Shan Bao, email: [email protected]
Dongya Yuan, email: [email protected]
Keywords: cervical cancer, case-control studies, miR-17-5p, single nucleotide polymorphisms (SNPs)
Received: July 25, 2016 Accepted: August 30, 2016 Published: September 28, 2016
ABSTRACT
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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