Pertinence of Glioma and Single Nucleotide Polymorphism of TERT, CCDC26, CDKN2A/B and RTEL1 Genes in Glioma: a Meta-analysis

Overview

Journal Front Oncol

Specialty Oncology

Date 2023 Sep 25

PMID 37746290

Authors

Yaqi Wu

Jun Zhou

Jun Zhang

Zhijian Tang

Xi Chen

Lulu Huang

Shengwen Liu

Hong Chen

Yu Wang

Affiliations

Soon will be listed here.

Abstract

Background: Previous genetic-epidemiological studies considered (rs2736100), (rs4295627), (rs4977756) and (rs6010620) gene polymorphisms as the risk factors specific to glioma. However, the data samples of previous genetic-epidemiological studies are modest to determine whether they have definite association with glioma.

Method: The study paid attention to systematically searching databases of PubMed, Embase, Web of Science (WoS), Scopus, Cochrane Library and Google Scholars. Meta-analysis under 5 genetic models, namely recessive model (RM), over-dominant model (O-DM), allele model (AM), co-dominant model (C-DM) and dominant model (DM) was conducted for generating odds ratios (ORs) and 95% confidence intervals (CIs). That was accompanied by subgroup analyses according to various racial groups. The software STATA 17.0 MP was implemented in the study.

Result: 21 articles were collected. According to data analysis results, in four genetic models (AM, RM, DM and C-DM) gene rs2736100 polymorphism, gene rs4295627 polymorphism, gene rs4977756 polymorphism and gene rs6010620 polymorphisms increased the risk of glioma in Caucasians to different degrees. In Asian populations, the gene rs4295627 polymorphism and gene rs4977756 polymorphism did not exhibit a relevance to the risk of glioma. It is suggested to cautiously explain these results as the sample size is small.

Conclusion: The current meta-analysis suggested that the SNP of (rs2736100), (rs4295627), (rs4977756) and (rs6010620) genes in glioma might increase risk of glioma, but there are ethnic differences. Further studies evaluating these polymorphisms and glioma risk are warranted.

Citing Articles

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