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MiRNA Polymorphisms and Hepatocellular Carcinoma Susceptibility: A Systematic Review and Network Meta-Analysis.
Zhang, Qimeng; Xu, Xueying; Wu, Mingcheng; Qin, Tiantian; Wu, Shaoning; Liu, Hongbo.
Afiliação
  • Zhang Q; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
  • Xu X; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
  • Wu M; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
  • Qin T; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
  • Wu S; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
  • Liu H; Department of Health Statistics, School of Public Health, China Medical University, Shenyang, China.
Front Oncol ; 10: 562019, 2020.
Article em En | MEDLINE | ID: mdl-33542895
ABSTRACT

BACKGROUND:

Hepatocellular carcinoma (HCC) is an intractable public health threat worldwide, representing the second leading cause of cancer-related mortality, with limited early detection and therapeutic options. Recent findings have revealed that the susceptibility of HCC is closely related to microRNA (miRNA). We performed this systematic review with a network meta-analysis to investigated four single nucleotide polymorphisms (SNPs) that most regularly reported in miRNAs, exploring their involvement in HCC susceptibility and interaction with hepatitis B virus (HBV).

METHODS:

Databases were reviewed for related studies published up to May 2019 to identify all studies that compared genotypes of miR-146a rs2910164, miR-149 rs2292832, miR-196a2 rs11614913, and miR-499 rs3746444 with no language and date restrictions. A pairwise meta-analysis was performed to estimate pooled odds ratios and 95% confidence intervals incorporating heterogeneity to assess the relationship between four miRNA polymorphisms and HCC. To further clarify the effect of polymorphisms on HCC, a Bayesian network meta-analysis was conducted to combine the effective sizes of direct and indirect comparisons. Calculations were performed by R version 3.6.1 and STATA 14.0. All steps were performed according to PRISMA guidelines.

RESULTS:

A total of 20 studies were enrolled in this network meta-analysis, providing 5,337 hepatocellular carcinoma cases and 6,585 controls. All included studies had an acceptable quality. Pairwise meta-analysis demonstrated that miR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, while the other three SNPs were not found to have a significant association. In the analysis of HCC patients under different HBV infection status, only miR-196a2 revealed correlation of threefold risk. The network results showed no significant difference in the distribution of genotype frequencies except for miR-196a2, which appeared to have the highest superiority index when comparing and ranking four SNPs.

CONCLUSION:

MiR-196a2 rs11614913 was significantly associated with the susceptibility of HCC, especially for HBV- related HCC, and that individuals with TC/CC were more susceptible. No significant association was found in the other three miRNA genes. MiR-196a2 could serve as the best predictor of susceptibility in HCC.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Screening_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Screening_studies / Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article