Integrative Profiling of T790M-Negative EGFR-Mutated NSCLC Reveals Pervasive Lineage Transition and Therapeutic

Khi Pin Chua1, Yvonne H F Teng2,3, Aaron C Tan2,4

  • 1Genome Institute of Singapore, Singapore, Singapore.

Abstract

Insights

Drug resistance to EGFR TKIs in NSCLC is common. This study reveals distinct molecular changes in T790M-negative resistance, guiding future personalized treatments for EGFR-mutated lung cancer.

Area of Science:

  • Oncology
  • Genomics
  • Translational Research

Background:

  • Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitors (TKIs) are standard for EGFR-mutated Non-Small Cell Lung Cancer (NSCLC).
  • Acquired resistance to EGFR TKIs is a significant clinical challenge, limiting treatment options, particularly in cases lacking the T790M mutation.

Purpose of the Study:

  • To comprehensively characterize and compare the molecular alterations driving resistance in EGFR-mutated NSCLC.
  • To differentiate resistance mechanisms between T790M-positive (T790M+) and T790M-negative (T790M-) acquired resistance.
  • To explore predictive biomarkers for T790M- and T790M+ resistance using pre-treatment genomic and transcriptomic data.

Main Methods:

  • Whole-exome and transcriptome sequencing were performed on 59 patients with acquired resistance to first- and second-generation EGFR TKIs.
  • Multiplex immunohistochemistry (IHC) was used for orthogonal validation of transcriptomic findings.
  • Bayesian statistical modeling was employed to predict resistance profiles from treatment-naïve patient data.

Main Results:

  • T790M-negative resistance was associated with a loss of adenocarcinoma lineage gene expression.
  • Genomic features like TP53 alterations, 3q amplifications, and whole-genome doubling were enriched in T790M-negative tumors.
  • Nearly half of resistant tumors were classified as 'immune-hot,' with outcomes influenced by immune infiltration and T790M status.

Conclusions:

  • Divergent resistance trajectories in EGFR-mutated NSCLC are shaped by interactions between genetic alterations, cell plasticity, and the tumor immune microenvironment.
  • Genomic and transcriptomic profiling can identify distinct resistance mechanisms.
  • These insights support the development of tailored therapeutic strategies based on a tumor's adaptive potential.