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Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing
Published on: October 10, 2025
Polymorphisms in EGFR and VEGF contribute to non-small-cell lung cancer survival in a Chinese population
Jing Dong1, Juncheng Dai, Yongqian Shu
1Department of Epidemiology and Biostatistics, Cancer Center, Nanjing Medical University, 140 Hanzhong Road, Nanjing 210029, China.
Abstract:
Over the last decades, combined chemotherapies that inhibit different signalling pathways together have been demonstrated to be more effective to treat the non-small-cell lung cancer (NSCLC). The epidermal growth factor receptor (EGFR) and the vascular endothelium growth factor (VEGF) are two key targets. Polymorphisms in EGFR and VEGF genes have been identified to be associated with therapy-response and cancer survival. In this study, we hypothesized that single-nucleotide polymorphisms (SNPs) of EGFR and VEGF genes are associated with NSCLC patients' survival in Chinese. Therefore, we screened and genotyped 54 potentially functional SNPs as well as tagging SNPs in these two genes using Illumina Golden Gate platform in 568 NSCLC patients. We found that subjects carrying EGFR rs3735061AA and rs6958497AG/GG genotypes survived significantly shorter time [median survival time (MST): 22.2 and 19.4 months, respectively] than those carrying rs3735061AG/GG (MST: 25.1 months) and rs6958497AA (MST: 25.9 months) (log-rank P = 0.015 for rs3735061 and log-rank P = 0.028 for rs6958497). However, subjects carrying EGFR rs759165AG/AA genotypes survived significantly longer (MST: 38.7 months) than those carrying rs759165GG genotype (MST: 24.7 months) (log-rank P = 0.024). Multivariate Cox regression analyses showed that the genotypes of rs3735061AA and rs6958497AG/GG were associated with a significantly increased risk of death for NSCLC [hazard ratio (HR) = 2.82, 95% confidence interval (CI) = 1.66-4.78 for rs3735061AA and HR = 1.69, 95% CI = 1.26-2.28 for rs6958497AG/GG], whereas the rs759165AG/AA were associated with a 44% significantly decreased risk of death of NSCLC (HR = 0.56, 95% CI = 0.39-0.83). Stepwise COX regression analyses suggested that EGFR rs373506, rs759165 and rs6958497 may be independent candidate biomarkers to predict NSCLC survival in this population.
Insights
Specific genetic variations in the epidermal growth factor receptor (EGFR) gene are linked to survival outcomes in Chinese patients with non-small-cell lung cancer (NSCLC). These EGFR single-nucleotide polymorphisms (SNPs) may serve as biomarkers for predicting patient survival.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Combined chemotherapies targeting multiple signaling pathways improve non-small-cell lung cancer (NSCLC) treatment efficacy.
- Epidermal growth factor receptor (EGFR) and vascular endothelium growth factor (VEGF) are critical targets in NSCLC therapy.
- Polymorphisms in EGFR and VEGF genes influence patient response to therapy and overall survival.
Purpose of the Study:
- To investigate the association between single-nucleotide polymorphisms (SNPs) in EGFR and VEGF genes and the survival of Chinese NSCLC patients.
- To identify potential genetic biomarkers for predicting NSCLC patient survival.
Main Methods:
- Genotyping of 54 potentially functional and tagging SNPs in EGFR and VEGF genes using the Illumina Golden Gate platform.
- Analysis of data from 568 NSCLC patients.
- Statistical analysis including log-rank tests and multivariate Cox regression to assess survival differences and risk factors.
Main Results:
- Specific EGFR genotypes (rs3735061AA, rs6958497AG/GG) were associated with significantly shorter median survival times.
- The EGFR genotype rs759165AG/AA was significantly associated with longer median survival times.
- Multivariate analysis confirmed that EGFR SNPs rs3735061, rs6958497, and rs759165 are independent predictors of NSCLC patient survival.
Conclusions:
- EGFR gene polymorphisms, specifically rs3735061, rs759165, and rs6958497, are significantly associated with survival in Chinese NSCLC patients.
- These identified EGFR SNPs may serve as valuable candidate biomarkers for predicting NSCLC prognosis in this population.
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