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BIBTEX RIS

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

2020; Taylor & Francis; Volume: 50; Issue: 5 Linguagem: Inglês

10.1080/08820139.2020.1778023

1532-4311

Edilson Leite de Moura, Ana Caroline Melo dos Santos, Denise Macêdo da Silva, Bruna Brandão dos Santos, Diego de Siqueira Figueredo, Alexandre Wendell Araújo Moura, Adriely Ferreira da Silva, Ithallo Sathio Bessoni Tanabe, Eloiza Lopes de Lira Tanabe, Abel Barbosa Lira Neto, Aline Cristine Pereira e Silva, Carlos Alberto de Carvalho Fraga, Josè Luiz de Lima Filho, Karol Fireman de Farias, Elaine V.M. Souza,

Cancer-related molecular mechanisms research

Objectives: 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.Methods: Seven electronic databases (MEDLINE, Scielo, BIREME, PubMed, Scopus, Web of Science and Science Direct) were searched for case-control studies.Results: A total of 35 relevant case-control studies were meta-analyzed, including 7 cytokine genes and 15 SNPs. SNPs in IL-17A (rs2275913, rs3748067); IL-17 F (rs763780); IL-12A (rs568408); IL-12B (rs3212227); TNFA (rs1800629, rs361525); IL-1B (rs16944); IL-6 (rs1800795); IL-10 (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 TNFA and IL-10 genes through the MZF1 (TNFA -308 G > A and IL-10 - 1082A>G) and ZNF263 (TNFA -238 G > A) transcription factors binding.Conclusion: 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.