Real-World Approach for Molecular Analysis of Acquired EGFR Tyrosine Kinase Inhibitor Resistance Mechanisms in NSCLC

Liesbeth M Hondelink1, Merel Jebbink2, Jan H von der Thüsen3

  • 1Department of Pathology, Leiden University Medical Center (LUMC), Leiden, The Netherlands.

Abstract

Insights

Detecting resistance mechanisms after EGFR tyrosine kinase inhibitor (TKI) treatment is crucial. A parallel approach using DNA NGS, RNA NGS, MET ISH, and HER2 ISH/IHC is recommended for optimal molecular diagnostics in NSCLC.

Area of Science:

  • Oncology
  • Molecular Diagnostics
  • Genetics

Background:

  • The advent of first-line osimertinib for stage IV EGFR-mutated NSCLC necessitates robust methods for detecting resistance mechanisms.
  • Current guidelines for analyzing these resistance mechanisms are insufficient, creating a need for standardized diagnostic approaches.

Purpose of the Study:

  • To provide recommendations for optimal molecular diagnostics in the context of post-EGFR tyrosine kinase inhibitor (TKI) resistance.
  • To evaluate and compare molecular workup strategies in real-world clinical settings.

Main Methods:

  • A comparative analysis of molecular workup strategies across three hospitals.
  • Inclusion of 161 first- or second-generation EGFR TKI-treated cases and 159 osimertinib-treated cases.
  • Utilization of DNA next-generation sequencing (NGS), RNA NGS, in situ hybridization (ISH), and immunohistochemistry (IHC).

Main Results:

  • Resistance mechanisms were identified in 51% of early TKI cases and 57% of osimertinib cases.
  • RNA NGS detected fusions or exon-skipping events in 4% of early TKI cases and 10% of osimertinib cases.
  • ISH or IHC exclusively detected 10 out of 30 MET and HER2 amplifications, often missed by DNA NGS due to low tumor cell percentage or heterogeneity.

Conclusions:

  • A parallel combination of DNA NGS, RNA NGS, MET ISH, and HER2 ISH/IHC is supported by real-world data for molecular diagnostics.
  • Simultaneous RNA and DNA isolation minimizes dropout rates.
  • A sequential approach (RNA NGS only if initial tests are negative) is a less optimal alternative under resource constraints, risking missed multiple resistance mechanisms.