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

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

doi:10.3389/fonc.2023.1180099

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

Front Oncol. 2023 Sep 7:13:1180099. doi: 10.3389/fonc.2023.1180099. eCollection 2023.

Authors

Yaqi Wu¹, Jun Zhou¹, Jun Zhang¹, Zhijian Tang¹, Xi Chen^{2

3}, Lulu Huang⁴, Shengwen Liu¹, Hong Chen⁵, Yu Wang¹

Affiliations

¹ Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
² School of Health, Brooks College, Sunnyvale, CA, United States.
³ Department of Epidemiology and Statistics, School of Public Health, Medical College, Zhejiang University, Hangzhou, China.
⁴ Medical Affairs, the Department of ICON Pharma Development Solutions (IPD), ICON Public Limited Company (ICON Plc), Beijing, China.
⁵ Dediatric Department, School of Clinical Medicine for Women and Children, China Three Gorges University, Yichang Maternal and Child Health Hospital, Yichang, China.

Abstract

Background: Previous genetic-epidemiological studies considered TERT (rs2736100), CCDC26 (rs4295627), CDKN2A/B (rs4977756) and RTEL1 (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) TERT gene rs2736100 polymorphism, CCDC26 gene rs4295627 polymorphism, CDKN2A/B gene rs4977756 polymorphism and RTEL1 gene rs6010620 polymorphisms increased the risk of glioma in Caucasians to different degrees. In Asian populations, the CCDC26 gene rs4295627 polymorphism and CDKN2A/B 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 TERT (rs2736100), CCDC26 (rs4295627), CDKN2A/B (rs4977756) and RTEL1 (rs6010620) genes in glioma might increase risk of glioma, but there are ethnic differences. Further studies evaluating these polymorphisms and glioma risk are warranted.

Keywords: genetic model; glioma; meta-analysis; risk; single nucleotide polymorphism.

Publication types

Systematic Review

Grants and funding

This work was supported by the National Natural Science Foundation of China (grant number 81901895 to SL).