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细胞因子基因多态性与癌前病变和宫颈癌易感性的关联:系统评价与荟萃分析。

Association of Polymorphisms in Cytokine genes with susceptibility to Precancerous Lesions and Cervical Cancer: A systematic review with meta-analysis.

机构信息

Laboratory of Molecular Biology and Gene Expression (LABMEG), Federal University of Alagoas (UFAL), Arapiraca, Alagoas, Brazil.

Post-graduation Program in Health Science, Institute of Biological Sciences and Health (ICBS), Federal University of Alagoas (UFAL), Maceió, Alagoas, Brazil.

出版信息

Immunol Invest. 2021 Jul;50(5):492-526. doi: 10.1080/08820139.2020.1778023. Epub 2020 Jun 30.

DOI:10.1080/08820139.2020.1778023
PMID:32602796
Abstract

: This study investigated the relationship between single-nucleotide polymorphisms (SNPs) in cytokine genes and the susceptibility to Squamous Intraepithelial Lesions (SIL), cervical cancer and HPV infection through a systematic review with meta-analysis. To verify the effect of SNPs, we also analyzed the transcription factor binding affinity using bioinformatics tools.: Seven electronic databases (MEDLINE, Scielo, BIREME, PubMed, Scopus, Web of Science and Science Direct) were searched for case-control studies.: A total of 35 relevant case-control studies were meta-analyzed, including 7 cytokine genes and 15 SNPs. SNPs in (rs2275913, rs3748067); (rs763780); (rs568408); (rs3212227); (rs1800629, rs361525); (rs16944); (rs1800795); (rs1800896) genes were associated with increased risk for cervical cancer. No association was observed between meta-analyzed polymorphisms and SIL. Additional bioinformatics analysis suggested a possible transcriptional regulation pathway of the and genes through the MZF1 ( -308 G > A and  - 1082A>G) and ZNF263 ( -238 G > A) transcription factors binding.: Overall, 10 SNPs in cytokine genes were associated with increased risk for cervical cancer. Therefore, in our meta-analysis, these SNPs demonstrated to be potential biomarkers for predicting or identifying cases of high risk for SIL and cervical cancer.

摘要

本研究通过系统评价和荟萃分析,探讨了细胞因子基因单核苷酸多态性(SNP)与鳞状上皮内病变(SIL)、宫颈癌和 HPV 感染易感性之间的关系。为了验证 SNP 的影响,我们还使用生物信息学工具分析了转录因子结合亲和力。通过检索 MEDLINE、Scielo、BIREME、PubMed、Scopus、Web of Science 和 Science Direct 这 7 个电子数据库,共纳入了 35 项相关的病例对照研究,涉及 7 个细胞因子基因和 15 个 SNP。结果发现,基因 (rs2275913、rs3748067); (rs763780); (rs568408); (rs3212227); (rs1800629、rs361525); (rs16944); (rs1800795); (rs1800896)中的 SNP 与宫颈癌风险增加相关。然而,荟萃分析的 SNP 与 SIL 之间没有关联。此外,生物信息学分析表明,通过 MZF1(-308 G > A 和 -1082A>G)和 ZNF263(-238 G > A)转录因子结合,可能存在细胞因子基因的转录调控途径。综上所述,细胞因子基因中的 10 个 SNP 与宫颈癌风险增加相关。因此,在我们的荟萃分析中,这些 SNP 被证明是预测或识别 SIL 和宫颈癌高危病例的潜在生物标志物。

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