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EGFR Polymorphism and Survival of NSCLC Patients Treated with TKIs: A Systematic Review and Meta-Analysis
Vladimir Jurisic1, Vladimir Vukovic2, Jasmina Obradovic3
1Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Abstract:
Tyrosine kinase inhibitor- (TKI-) based therapy revolutionized the overall survival and the quality of life in non-small-cell lung cancer (NSCLC) patients that have epidermal growth factor receptor (EGFR) mutations. However, EGFR is a highly polymorphic and mutation-prone gene, with over 1200 single nucleotide polymorphisms (SNPs). Since the role of EFGR polymorphism on the treatment outcome is still a matter of debate, this research analyzed the available literature data, according to the PRISMA guidelines for meta-analyses. Research includes PubMed, Scopus, ISI Web of Science, and 14 of genome-wide association studies (GWAS) electronic databases in order to provide quantitative assessment of the association between ten investigated EGFR SNPs and the survival of NSCLC patients. The pooled HR and their 95% CI for OS and PFS for different EGFR polymorphisms using a random or fixed effect model based on the calculated heterogeneity between the studies was applied. The longest and the shortest median OSs were reported for the homozygous wild genotype and a variant allele carriers for rs712829 (-216G>T), respectively. Quantitative synthesis in our study shows that out of ten investigated EGFR SNPs (rs11543848, rs11568315, rs11977388, rs2075102, rs2227983, rs2293347, rs4947492, rs712829, rs712830, and rs7809028), only four, namely, rs712829 (-216G>T), rs11568315 (CA repeat), rs2293347 (D994D), and rs4947492, have been reported to affect the outcome of TKI-based NSCLC treatment. Of these, only -216G>T and variable CA repeat polymorphisms have been confirmed by meta-analysis of available data to significantly affect OS and PFS in gefitinib- or erlotinib-treated NSCLC patients.
Insights
Epidermal growth factor receptor (EGFR) gene variations impact non-small-cell lung cancer (NSCLC) patient survival. Specific EGFR polymorphisms, like -216G>T and CA repeat, significantly affect outcomes in TKI-treated NSCLC patients.
Area of Science:
- Oncology
- Genetics
- Pharmacogenomics
Background:
- Tyrosine kinase inhibitor (TKI) therapy has improved survival for non-small-cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations.
- The EGFR gene is highly polymorphic, with over 1200 known single nucleotide polymorphisms (SNPs).
- The influence of EGFR polymorphisms on TKI treatment outcomes in NSCLC remains debated.
Purpose of the Study:
- To quantitatively assess the association between ten specific EGFR SNPs and NSCLC patient survival.
- To determine which EGFR polymorphisms significantly impact overall survival (OS) and progression-free survival (PFS) in NSCLC patients undergoing TKI therapy.
Main Methods:
- A systematic literature review and meta-analysis were conducted following PRISMA guidelines.
- Data were sourced from PubMed, Scopus, ISI Web of Science, and 14 GWAS electronic databases.
- Pooled hazard ratios (HR) and 95% confidence intervals (CI) for OS and PFS were calculated using random or fixed effect models.
Main Results:
- Out of ten investigated EGFR SNPs, only four (rs712829, rs11568315, rs2293347, rs4947492) showed a reported association with TKI treatment outcomes.
- The rs712829 (-216G>T) polymorphism showed the longest median OS for homozygous wild genotype and shortest for variant allele carriers.
- Meta-analysis confirmed that rs712829 (-216G>T) and rs11568315 (CA repeat) polymorphisms significantly affect OS and PFS in NSCLC patients treated with gefitinib or erlotinib.
Conclusions:
- Specific EGFR polymorphisms, notably rs712829 (-216G>T) and the CA repeat polymorphism (rs11568315), significantly influence treatment outcomes in NSCLC patients receiving TKI therapy.
- These findings highlight the potential role of pharmacogenomics in personalizing NSCLC treatment strategies.
- Further research is warranted to fully elucidate the impact of EGFR genetic variations on TKI efficacy and patient prognosis.
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