EGFR variant allele frequency predicts EGFR-TKI efficacy in lung adenocarcinoma: a multicenter study

Balazs Gieszer1, Zsolt Megyesfalvi1,2,3, Viktoria Dulai2

  • 1Department of Thoracic Surgery, Semmelweis University and National Institute of Oncology, Budapest, Hungary.

Abstract

Insights

High adjusted tumoral epidermal growth factor receptor variant allele frequency (EGFR-aVAF) predicts better outcomes for lung adenocarcinoma (LADC) patients treated with EGFR tyrosine kinase inhibitors (EGFR-TKIs). Specifically, EGFR exon 19 mutations are linked to higher EGFR-aVAF and improved progression-free and overall survival.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Lung adenocarcinoma (LADC) with sensitizing epidermal growth factor receptor (EGFR) mutations shows initial sensitivity to EGFR tyrosine kinase inhibitors (EGFR-TKIs).
  • However, acquired resistance frequently leads to disease progression, necessitating identification of predictive biomarkers.
  • The prognostic and predictive value of adjusted tumoral EGFR variant allele frequency (EGFR-aVAF) remains to be fully elucidated.

Purpose of the Study:

  • To investigate the predictive and prognostic significance of EGFR-aVAF in advanced LADC patients treated with EGFR-TKIs.
  • To determine the correlation between EGFR-aVAF and specific EGFR mutations (exon 19 vs. exon 21).
  • To assess the association of EGFR-aVAF with progression-free survival (PFS) and overall survival (OS).

Main Methods:

  • Retrospective analysis of 89 Caucasian advanced-stage LADC patients with known EGFR mutations receiving EGFR-TKI treatment.
  • Correlation analysis of EGFR-aVAF with clinicopathological variables, PFS, and OS.
  • Comparison of EGFR-aVAF and survival outcomes between patients with EGFR exon 19 and exon 21 mutations.

Main Results:

  • EGFR exon 19 mutations were associated with significantly higher tumoral EGFR-aVAF compared to exon 21 mutations (P<0.001).
  • Patients with exon 19 mutations showed significantly improved PFS (P=0.003) and OS (P=0.02) versus those with exon 21 mutations.
  • High EGFR-aVAF (≥70%) independently predicted longer PFS (median 52 vs. 26 weeks, P<0.001) and improved OS (P=0.011) irrespective of mutation type.

Conclusions:

  • High tumoral EGFR-aVAF (≥70%) is a significant predictor of treatment benefit from EGFR-TKIs in advanced LADC.
  • EGFR exon 19 mutations are associated with higher EGFR-aVAF and favorable survival outcomes.
  • EGFR-aVAF serves as a valuable biomarker for predicting response and prognosis in EGFR-mutated LADC.