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Complementation of Splicing Activity by a Galectin-3 - U1 snRNP Complex on Beads
Published on: December 9, 2020
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.
Abstract:
Checkpoint inhibitor-based immunotherapy is opening a promising scenario in oncology, with objective responses registered in multiple cancer types. However, reliable predictive markers of tumor responsiveness are still lacking. These markers need to be urgently identified for a better selection of patients that can be candidates for immunotherapy. In this pilot study, a cohort of 34 consecutive patients bearing programmed death-ligand 1 (PD-L1)-positive non-small cell lung carcinoma (NSCLC), treated with pembrolizumab, was considered. The retrospective immuno-phenotypic analysis performed on the original tumor biopsies allowed for the identification of a specific "galectin signature", which strongly correlated with tumor responsiveness to anti PD-1 immunotherapy. We observed that the large majority of patients (about 90%) with high galectin-3 tumor expression (score 3+) showed an early and dramatic progression of the disease after three cycles of treatments. In contrast, all patients with negative or low/intermediate expression of galectin-3 in tumor cells showed an early and durable objective response to pembrolizumab, indicating galectin-3 as an interesting predictive marker of tumor responsiveness. The galectin-3 signature, at least in NSCLCs, promises a better selection of patient candidates for immunotherapy, reducing unnecessary treatment exposures and social costs. A large multicenter study is ongoing to validate this finding.
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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