Predictive Biomarkers for Checkpoint Inhibitor-Based Immunotherapy: The Galectin-3 Signature in NSCLCs

Carlo Capalbo1,2, Giorgia Scafetta3, Marco Filetti4

  • 1Department of Medical Oncology, Sant'Andrea University Hospital, 00189 Rome, Italy. carlo.capalbo@uniroma1.it.

Insights

A new galectin signature, specifically galectin-3 expression, may predict patient response to checkpoint inhibitor immunotherapy in non-small cell lung cancer (NSCLC). High galectin-3 indicates poor response, while low expression suggests a durable response to treatment.

Area of Science:

  • Oncology
  • Immunotherapy
  • Biomarker Discovery

Background:

  • Checkpoint inhibitor immunotherapy shows promise in oncology but lacks reliable predictive markers for tumor responsiveness.
  • Accurate patient selection for immunotherapy is crucial to optimize treatment outcomes and minimize costs.

Purpose of the Study:

  • To identify predictive biomarkers for tumor responsiveness to anti-PD-1 immunotherapy in non-small cell lung cancer (NSCLC).
  • To evaluate the potential of a "galectin signature" as a predictive marker for immunotherapy response.

Main Methods:

  • Retrospective immuno-phenotypic analysis of tumor biopsies from 34 patients with PD-L1-positive NSCLC treated with pembrolizumab.
  • Assessment of galectin-3 expression levels in tumor cells and correlation with treatment response.

Main Results:

  • A high galectin-3 tumor expression (score 3+) was associated with early and dramatic disease progression in approximately 90% of patients.
  • Negative or low/intermediate galectin-3 expression correlated with early and durable objective responses to pembrolizumab.

Conclusions:

  • The galectin-3 signature shows potential as a predictive marker for selecting NSCLC patients for immunotherapy.
  • Identifying galectin-3 expression could improve patient selection, reduce unnecessary treatment exposure, and lower social costs.

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