AUTHOR=Wu Yaqi , Zhou Jun , Zhang Jun , Tang Zhijian , Chen Xi , Huang Lulu , Liu Shengwen , Chen Hong , Wang Yu 

TITLE=Pertinence of glioma and single nucleotide polymorphism of TERT, CCDC26, CDKN2A/B and RTEL1 genes in glioma: a meta-analysis

JOURNAL=Frontiers in Oncology

VOLUME=13

YEAR=2023

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1180099

DOI=10.3389/fonc.2023.1180099

ISSN=2234-943X

ABSTRACT=<sec><title>Background</title><p>Previous genetic-epidemiological studies considered <italic>TERT</italic> (rs2736100), <italic>CCDC26</italic> (rs4295627), <italic>CDKN2A/B</italic> (rs4977756) and <italic>RTEL1</italic> (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.</p></sec><sec><title>Method</title><p>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.</p></sec><sec><title>Result</title><p>21 articles were collected. According to data analysis results, in four genetic models (AM, RM, DM and C-DM) <italic>TERT</italic> gene rs2736100 polymorphism, <italic>CCDC26</italic> gene rs4295627 polymorphism, <italic>CDKN2A/B</italic> gene rs4977756 polymorphism and <italic>RTEL1</italic> gene rs6010620 polymorphisms increased the risk of glioma in Caucasians to different degrees. In Asian populations, the <italic>CCDC26</italic> gene rs4295627 polymorphism and <italic>CDKN2A/B</italic> 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.</p></sec><sec><title>Conclusion</title><p>The current meta-analysis suggested that the SNP of <italic>TERT</italic> (rs2736100), <italic>CCDC26</italic> (rs4295627), <italic>CDKN2A/B</italic> (rs4977756) and <italic>RTEL1</italic> (rs6010620) genes in glioma might increase risk of glioma, but there are ethnic differences. Further studies evaluating these polymorphisms and glioma risk are warranted.</p></sec>