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18-08-2022 | Glioma | Review Article

ERCC2 rs13181 Polymorphism Association with Glioma Risk: an Update Meta-Analysis

Authors: Nader Salari, Shna Rasoulpoor, Shervin Shabani, Kamran Mansouri, Shadi Bokaee, Reza Fatahian, Negin Farshchian, Masoud Mohammadi, Melika Hosseinian-Far

Published in: Indian Journal of Surgical Oncology | Issue 1/2023

Abstract

Glioma is the most common type of primary brain tumour which accounts for about 30% of all brain and central nervous system tumours, and approximately 70% of adult malignant brain tumours. Numerous studies have been performed to assess the relationship between ERCC2 rs13181 polymorphism and the risk of glioma development, yet these findings of these studies are often inconsistent and contradictory. Therefore, the aim of this study is to conduct a systematic review and meta-analysis to assess the role of ERCC2 rs13181 in glioma developing. In this work, we have conducted a systematic review and meta-analysis. In order to collect the results of relevant studies on the association of ERCC2 rs13181 gene polymorphism with glioma, we initially searched the Scopus, Embase, Web of Science (WoS), PubMed, and ScienceDirect databases, without a lower time limit, and until June 2020. In order to analyse the eligible studies, the random effects model was used and the heterogeneity of the studies was investigated with the I² index. Data analysis was performed within the Comprehensive Meta-Analysis software (version 2). The total number of studies that focused on patients with glioma was 10. The odds ratio of GG vs TT genotype in patients with glioma based on meta-analysis was 1.08 (0.85–1.37: 95% confidence interval), which indicates the increasing effect of GG vs TT genotype by 0.08. The odds ratio of GG + TG vs TT genotype in patients with glioma was 1.22 (1.38–1.7: 95% confidence interval) based on meta-analysis, which indicates the increasing effect of GG + TG vs TT genotype as 0.22. The odds ratio of TG vs TT genotype in patients with glioma was 1.2 (0.38–1.4: 95% confidence interval), which shows the increasing effect of TG vs TT genotype by 0.2. The odds ratio of G vs T genotype in patients with glioma based on the meta-analysis was 1.15 (1.26–1.4: 95% confidence interval), which indicates the increasing effect of G vs T genotype by 0.15. The odds ratio of GG vs TG + TT genotype in patients with glioma based on meta-analysis was 1.22 (1.33–1.45: 95% confidence interval), which indicates the increasing effect of GG vs TG + TT genotype by 0.22. The results of this systematic review and meta-analysis show that ERCC2 rs13181 polymorphism and its genotypes are an important risk factor for genetic susceptibility to glioma tumour.

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Title: ERCC2 rs13181 Polymorphism Association with Glioma Risk: an Update Meta-Analysis
Authors: Nader Salari
Shna Rasoulpoor
Shervin Shabani
Kamran Mansouri
Shadi Bokaee
Reza Fatahian
Negin Farshchian
Masoud Mohammadi
Melika Hosseinian-Far
Publication date: 18-08-2022
Publisher: Springer India
Keywords: Glioma
Glioma
Glioma
Published in: Indian Journal of Surgical Oncology / Issue 1/2023
Print ISSN: 0975-7651
Electronic ISSN: 0976-6952
DOI: https://doi.org/10.1007/s13193-022-01623-6

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

ERCC2 rs13181 Polymorphism Association with Glioma Risk: an Update Meta-Analysis

Abstract

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

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