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Meta-Analysis
. 2025 Jan-Dec:39:3946320251316731.
doi: 10.1177/03946320251316731.

Meta-analysis of EGFR gene polymorphisms and lung cancer risk

Meryem Fakhkhari  1 , Ikram Salih  1 , Khaoula Errafii  2 , Salsabil Hamdi  3 , Khalid Sadki  1
Affiliations
Meta-Analysis

Meta-analysis of EGFR gene polymorphisms and lung cancer risk

Meryem Fakhkhari et al. Int J Immunopathol Pharmacol. 2025 Jan-Dec.

Abstract

Objective: This meta-analysis aims to systematically evaluate the associations of four specific Single Nucleotide Polymorphisms (SNPs)-rs712829, rs712830, rs11568315, and rs884225-located in the promoter, intronic, and 3' untranslated regions (3'UTR) of the EGFR gene, with lung cancer risk.

Introduction: The associations between EGFR gene polymorphisms and lung cancer risk is a topic of ongoing debate, which is still deemed controversial. Despite numerous studies, results are inconsistent.

Methods: We conducted a comprehensive literature search across the PubMed, Science Direct, and Web of Science databases to identify relevant case-control studies examining the association between EGFR gene polymorphisms and lung cancer risk.

Results: From an initial pool of 26,959 articles, 10 case-control studies were included, involving 2471 lung cancer patients and 4489 controls. A significant association between rs712829 and increased lung cancer risk was found across multiple genetic models. Under the allelic contrast model (G vs T), the OR was 1.31 (95% CI = [1.02; 1.68], p < 0.05), the dominant model (GG + GT vs TT) showed an OR of 1.69 (95% CI = [1.07; 2.67], p < 0.05), the homozygote model (GG vs TT) yielded an OR of 1.70 (95% CI = [1.00; 2.88], p < 0.05), and the heterozygote model (GT vs TT) had an OR of 1.64 (95% CI = [1.01; 2.66], p < 0.05). No significant associations were found for rs11568315, rs712830, and rs884225.

Conclusion: The findings from the current meta-analysis confirm that rs712829 within the EGFR gene is significantly associated with lung cancer risk according to the allele, dominant, homozygote and heterozygote models.

Keywords: EGFR gene polymorphisms; SNPs; gene-disease-association; lung cancer risk; meta-analysis.

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Conflict of interest statement

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Diagram illustrating the inclusion and exclusion criteria.
Figure 2.
Figure 2.
Search strategy flow diagram created with BioRender.com.
Figure 3.
Figure 3.
Illustration of EGFR polymorphisms created with BioRender.com.
Figure 4.
Figure 4.
Geographic distribution of selected case-control studies investigating the association between EGFR polymorphisms and lung cancer risk.
Figure 5.
Figure 5.
Forest plot illustrating the association between the EGFR rs11568315 polymorphism and lung cancer risk.
Figure 6.
Figure 6.
Forest plot illustrating the association between the EGFR rs712830 polymorphism and lung cancer risk.
Figure 7.
Figure 7.
Forest plot illustrating the association between the EGFR rs712829 polymorphism and lung cancer risk.
Figure 8.
Figure 8.
Forest plot illustrating the association between the EGFR rs884225 polymorphism and lung cancer risk.
Figure 9.
Figure 9.
Sensitivity analysis in the overall populations for rs884225 (allele model: C vs T).
Figure 10.
Figure 10.
Sensitivity analysis in the overall populations for rs712829 (allele model: T vs G).
Figure 11.
Figure 11.
Sensitivity analysis in the overall populations for rs712830 (recessive model: AA vs AC + CC).
Figure 12.
Figure 12.
Sensitivity analysis in the overall populations for rs11568315 (allele model: S vs L).
Figure 13.
Figure 13.
Funnel plot of Egger’s test assessing publication bias in the overall population for (a) rs11568315 (allele model: S vs L), (b) rs712829 (allele model: T vs G), (c) rs712830 (allele model: A vs C), (d) rs884225 (allele model: C vs T).
See this image and copyright information in PMC

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