Plasma cfDNA analysis of alectinib resistance-related gene alterations in the J-ALEX study

H Sakaguchi1, R Katayama2, M Matsumoto3

  • 1Department of Medical Oncology, Kanazawa University Hospital, Kanazawa, Japan.

ESMO Open
|September 5, 2025
PubMed
Abstract

Insights

Detecting anaplastic lymphoma kinase (ALK) mutations in plasma cell-free DNA (cfDNA) can predict resistance to alectinib in non-small cell lung cancer (NSCLC). Early identification of these mutations may personalize treatment for better outcomes.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Alectinib is a standard first-line therapy for anaplastic lymphoma kinase (ALK)-rearranged non-small cell lung cancer (NSCLC).
  • Resistance to alectinib poses a significant clinical challenge in managing ALK-rearranged NSCLC.
  • Understanding resistance mechanisms is crucial for improving patient outcomes.

Purpose of the Study:

  • To investigate alectinib resistance mechanisms in ALK-rearranged NSCLC using next-generation sequencing (NGS) of plasma cell-free DNA (cfDNA).
  • To identify specific ALK secondary mutations (SMs) and other genetic alterations associated with resistance.
  • To evaluate the correlation between detectable SMs and progression-free survival (PFS).

Main Methods:

  • Plasma samples were collected from 67 patients treated with alectinib in the J-ALEX study at multiple time points.
  • Next-generation sequencing (NGS) was performed on extracted cfDNA to detect ALK SMs and other resistance-related mutations.
  • Progression-free survival (PFS) was compared between patients with and without detectable SMs.

Main Results:

  • Alectinib-resistant ALK SMs were identified in 13% of patients, including known resistance mutations like L1196M and G1202R.
  • Patients with detectable SMs exhibited significantly shorter PFS (15.2 months) compared to those without (34.1 months).
  • Additional actionable mutations such as MET amplification and KRAS/NRAS mutations were identified, with KRAS/NRAS potentially linked to primary resistance.

Conclusions:

  • Plasma cfDNA analysis via NGS is a feasible method for identifying alectinib resistance mechanisms in NSCLC.
  • Early detection of resistance-associated mutations can inform personalized treatment strategies.
  • Further prospective studies are warranted to validate these findings and their clinical utility.