Polymorphisms in MiRNA Genes Play Roles in the Initiation and Development of Cervical Cancer
Authors
Affiliations
MicroRNA deregulation is crucial for cancer development. Studies showed that polymorphisms in miRNA genes could affect miRNA expression, which might be associated with cancer development. In the current study, we investigated the association of seven single nucleotide polymorphisms (SNPs) in seven miRNA genes with the initiation and development of cervical cancer in a Chinese Han population. The SNPs of 358 cervical intraepithelial neoplasia (CIN) patients, 547 cervical cancer patients and 567 healthy individuals were genotyped using TaqMan assays. Moreover, we evaluated the association of the seven SNPs with the different stages of cervical cancer. Our results showed that rs4636297 in miR-126 was associated with susceptibility to CIN and cervical cancer (=0.019 and 0.019, respectively) and that the T allele was associated with a higher risk of CIN (=1.334, : 1.049-1.698) and cervical cancer (=1.296, : 1.044-1.609). Similarly, rs11614913 in miR-125a was associated with CIN and cervical cancer (=0.025 and 0.015, respectively), and the T allele might be the protective factor for CIN (=0.807, : 0.669-0.974) and cervical cancer (=0.814, : 0.689-0.961). Our results indicated that rs4636297 in miR-126 and rs11614913 in miR-196a2 play an important role only in the initiation of cervical cancer not in the development of CIN to cervical cancer.
Chen X, Yan Z, Liu W, Guo L, Xu J, Shi L Int J Gen Med. 2024; 17:4171-4188.
PMID: 39308972 PMC: 11414751. DOI: 10.2147/IJGM.S473133.
Association between miR-365 polymorphism and ischemic stroke in a Chinese population.
Weng Y, Yu W, Luo Y, Liu C, Gu X, Chen H Front Neurol. 2023; 14:1260230.
PMID: 37840919 PMC: 10569467. DOI: 10.3389/fneur.2023.1260230.
Mirabbasi R, Ebrahimi S, Tavakoli F, Reiisi S 3 Biotech. 2023; 13(11):349.
PMID: 37780804 PMC: 10541378. DOI: 10.1007/s13205-023-03765-y.
Effect of rs11614913 Polymorphism on Cancer Susceptibility: Evidence From an Updated Meta-Analysis.
Aziz M, Akter T, Islam M Technol Cancer Res Treat. 2022; 21:15330338221109798.
PMID: 35770306 PMC: 9251994. DOI: 10.1177/15330338221109798.
Chen K, Yan Z, Dong X, Liang Y, Yao Y, Zhang S Front Genet. 2022; 13:856505.
PMID: 35495171 PMC: 9047912. DOI: 10.3389/fgene.2022.856505.