Evidence map›Paper›PMID 30935099›Full record

Trial reportInternational journal of molecular sciences2019

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

Carlo Capalbo, Giorgia Scafetta, Marco Filetti, Paolo Marchetti, Armando Bartolazzi

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Hyperprogressive disease in carcinoma induced by immune checkpoint inhibitor therapy: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Pooled it
  2. Trial
  3. Article
  4. Mechanisms of primary resistance to immune checkpoint inhibitors in NSCLC.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Gal-3 blocks the binding between PD-1 and pembrolizumab.Journal for immunotherapy of cancer · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Sweet Immune Checkpoint Targets to Enhance T Cell Therapy.Journal of immunology (Baltimore, Md. : 1950) · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Carlo CapalboDepartment of Medical Oncology, Sant'Andrea University Hospital, 00189 Rome, Italy. carlo.capalbo@uniroma1.it.ORCID 0000-0001-8445-6782
Giorgia ScafettaDepartment of Oncology-Pathology Sant'Andrea University Hospital, via di Grottarossa 1035, 00189 Rome, Italy. giorge@hotmail.com.
Marco FilettiDepartment of Medical Oncology, Sant'Andrea University Hospital, 00189 Rome, Italy. marco.filetti@uniroma1.it.
Paolo MarchettiDepartment of Medical Oncology, Sant'Andrea University Hospital, 00189 Rome, Italy. paolo.marchetti@uniroma1.it.
Armando BartolazziDepartment of Oncology-Pathology Sant'Andrea University Hospital, via di Grottarossa 1035, 00189 Rome, Italy. Armando.Bartolazzi@ki.se.ORCID 0000-0001-7820-5127
Karolinska University Hospital · SESapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgedAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBiomarkers, TumorBlood ProteinsCarcinoma, Non-Small-Cell LungGalectin 3GalectinsHumansImmunohistochemistryImmunotherapyLung NeoplasmsMiddle AgedProgrammed Cell Death 1 ReceptorRetrospective StudiesAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBiomarkers, TumorBlood ProteinsGalectin 3GalectinsLGALS3 protein, humanpembrolizumabProgrammed Cell Death 1 Receptorcheckpoint inhibitorsgalectin-3non-small cell lung carcinomapembrolizumabpredictive marker

Identifiers

PMID30935099
PMCPMC6479404
OpenAlexW2934385020

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.