Patients with NSCLCs Harboring Internal Inversions or Deletion Rearrangements of the ALK Gene Have Durable Responses

Alexa B Schrock1, Russell Madison1, Mark Rosenzweig2

  • 1Foundation Medicine, Department of Clinical Development, Cambridge, MA, USA.

Abstract

Insights

Rare ALK rearrangements in non-small cell lung cancer (NSCLC) can predict response to ALK inhibitors. Internal inversions indicate ALK fusions, while internal deletions represent distinct targetable drivers, guiding therapy selection.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • Anaplastic lymphoma kinase (ALK) fusions are established drivers in non-small cell lung cancer (NSCLC).
  • Patients with NSCLC and ALK rearrangements lacking identified DNA fusion partners also exhibit sensitivity to ALK inhibitors.
  • Complex ALK variants require characterization to predict response to ALK-targeted therapies.

Purpose of the Study:

  • To characterize complex ALK variants in NSCLC.
  • To investigate the association between specific ALK rearrangements and response to ALK inhibitors.
  • To identify novel predictive biomarkers for ALK-targeted therapy.

Main Methods:

  • Comprehensive genomic profiling (CGP) of DNA from tumor tissue or ctDNA in 39,159 NSCLC patients.
  • RNA sequencing for a subset of cases to confirm fusions.
  • Clinical data collection from treating physicians regarding treatment and response.

Main Results:

  • ALK internal inversions (0.02%) and internal deletions (0.01%) were identified as sole ALK rearrangements.
  • Internal inversions were associated with EML4-ALK fusions and durable responses to ALK inhibitors.
  • ALK internal deletions, distinct from fusions, likely represent targetable drivers, with one patient responding to multiple ALK inhibitors.

Conclusions:

  • Rare ALK internal inversions in DNA suggest ALK fusions detectable by RNA, predicting response to ALK inhibitors.
  • ALK internal deletions are not associated with ALK fusions but are likely targetable drivers themselves.
  • Supplementing DNA-based CGP with RNA or IHC testing is crucial for precise event resolution and patient stratification for effective therapies.

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