Evidence map›Paper›PMID 40438325›Full record

ArticleFrontiers in genetics2025

EGFR polymorphisms drive lung cancer risk and survival disparities: a genotype-expression-outcome cohort study.

Chao Zuo, Ziqiang Wang, Yi Liu, Jing Cheng, Dongli Yang, Yu Wang, Yongchao Qiao

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Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chao ZuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Ziqiang WangResearch Center of Clinical Laboratory Science, Bengbu Medical University, Bengbu, Anhui, China.
Yi LiuDepartment of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Jing ChengDepartment of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Dongli YangDepartment of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Yu WangDepartment of Geriatrics, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Yongchao QiaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the correlation between single-nucleotide polymorphisms (SNPs) of the Epidermal growth factor receptor (EGFR) gene and its protein expression with susceptibility and survival prognosis of lung cancer (LC) patients. Methods: Using SNP-scan high-throughput technology, the EGFR gene's rs2227983, rs2293347, and rs884225 locations were analyzed in 300 LC patients and 150 healthy individuals. And small cell lung cancer (SCLC), lung adenocarcinoma (LUAD), and lung squamous carcinoma (LUSC) were subdivided into groups for lung cancer patients. Chi-square test and logistic regression analysis were used to assess the susceptibility of LC. The correlation between SNP haplotypes and LC risk was analyzed using the SHEsis website. KM curves and Cox regression were used to analyse the association between polymorphisms and survival prognosis of LC patients. Expression differences in protein levels were analyzed using immunohistochemistry. Results: EGFR rs2293347 was associated with LUAD, LUSC, and SCLC susceptibility, and rs884225 was associated with LUAD susceptibility. Haplotype ATT was associated with LC and histological type LUAD and SCLC susceptibility. Meanwhile, rs2293347-TT and rs884225-TT were associated with worse prognosis, and rs2293347-TT was an independent risk factor for prognosis in patients with LC. Furthermore, tumor tissue EGFR protein levels were elevated in patients with both genotypes. Conclusion: EGFR rs2293347 (pan-subtype) and rs884225 (LUAD-specific) polymorphisms increase LC risk through elevated protein expression, with rs2293347-TT conferring worse survival. These genotype-protein correlations highlight their dual role as susceptibility markers and prognostic predictors in precision oncology.

Indexed as

EGFRlung cancerpolymorphismprognosissusceptibility

Identifiers

PMID40438325
PMCPMC12116501

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