Differential Responses to Targeted Therapies in Non-Small Cell Lung Cancer: A Comparative Analysis of Outcomes in

Linh Tu Le1,2, Nhung Viet Nguyen3, Huy Le Trinh4,5

  • 1Department of Oncology, National Lung Hospital, Hanoi, 100000, Vietnam.

Abstract

Insights

Concurrent gene alterations in EGFR-mutant non-small cell lung cancer (NSCLC) reduce the effectiveness of EGFR tyrosine kinase inhibitors (TKIs). Patients with KRAS, BRAF, ROS1, or MET mutations show poorer outcomes with EGFR-TKI therapy.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are a standard treatment for EGFR mutation-positive non-small cell lung cancer (NSCLC).
  • The presence of concurrent gene alterations in EGFR-mutant NSCLC may impact treatment efficacy.
  • Understanding these impacts is crucial for optimizing patient care and predicting treatment response.

Purpose of the Study:

  • To evaluate the treatment outcomes of EGFR-mutant NSCLC patients with concurrent gene alterations.
  • To determine the predictive significance of these concurrent alterations on response to EGFR-TKI therapy.

Main Methods:

  • A retrospective cohort study was conducted using next-generation sequencing (NGS) data from January 2019 to June 2023.
  • Patients were categorized into two groups: single EGFR mutation and concurrent EGFR mutations.
  • Treatment responses and progression-free survival (PFS) were analyzed.

Main Results:

  • The overall response rate (ORR) was 67% and disease control rate (DCR) was 82.6% in the study cohort.
  • Progression-free survival (PFS) was significantly shorter in patients with concurrent EGFR mutations (11.00 months) compared to those with single EGFR mutations (15.03 months) (P = 0.001).
  • Among concurrent mutations, ALK alterations showed the longest PFS (13.43 months), while MET alterations had the shortest PFS (4.77 months).

Conclusions:

  • Concurrent gene alterations in EGFR-mutant NSCLC are associated with reduced efficacy of EGFR-TKIs.
  • Patients with KRAS, BRAF, ROS1, or MET mutations exhibit poorer predictive outcomes when treated with EGFR-TKIs.
  • These findings highlight the importance of comprehensive genomic profiling for predicting EGFR-TKI treatment response in NSCLC.

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