Evidence map›Paper›PMID 37808404›Full record

ArticleOncoimmunology2023

Lag-3 expression and clinical outcomes in metastatic melanoma patients treated with combination anti-lag-3 + anti-PD-1-based immunotherapies.

Tuba N Gide, Elizabeth C Paver, Zarwa Yaseen, Nigel Maher, Nurudeen Adegoke, Alexander M Menzies, Ines Pires da Silva, James S Wilmott, Georgina V Long, Richard A Scolyer

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06536257 (Personalised Immunotherapy Platform), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT06536257 recruitingnot on this map

Personalised Immunotherapy Platform (PIP) - Implementation of a Predictive Model of Response to Immunotherapies in Melanoma

TypeobservationalSponsorMelanoma Institute AustraliaRan2021 to 2037Enrolled1,000ConditionsMelanoma, Cutaneous Squamous Cell Carcinoma, Basal Cell Carcinoma, Merkel Cell CarcinomaArmsPredictive model
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Unraveling Relatlimab-Specific Biology Using Biomarker Analyses in Patients with Advanced Melanoma in RELATIVITY-047.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  11. Prognostic Biomarkers in Evolving Melanoma Immunotherapy.American journal of clinical dermatology · 2025
    Review
  12. Review
  13. Review
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  15. Article
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  18. Article
  19. Observational
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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

10 authors at 1 institution in 1 country.

Tuba N GideMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Elizabeth C PaverMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Zarwa YaseenMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Nigel MaherMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Nurudeen AdegokeMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Alexander M MenziesMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Ines Pires da SilvaMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
James S WilmottMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
Georgina V LongMelanoma Institute Australia, The University of Sydney, Sydney, Australia.ORCID 0000-0001-8894-3545
Richard A ScolyerMelanoma Institute Australia, The University of Sydney, Sydney, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphocyte-activation gene-3 (LAG-3), an immune checkpoint receptor, negatively regulates T-cell function and facilitates immune escape of tumors. Dual inhibition of LAG-3 and programmed cell death receptor-1 (PD-1) significantly improved progression-free survival (PFS) in metastatic melanoma patients compared to anti-PD-1 therapy alone. Investigating the utility of LAG-3 expression as a biomarker of response to anti-LAG-3 + anti-PD-1 immunotherapy is of great clinical relevance. This study sought to evaluate the association between baseline LAG-3 expression and clinical outcomes following anti-LAG-3 and anti-PD-1-based immunotherapy in metastatic melanoma. LAG-3 immunohistochemistry (clone D2G4O) was performed on pre-treatment formalin-fixed, paraffin-embedded metastatic melanoma specimens from 53 patients treated with combination anti-LAG-3 + anti-PD-1-based therapies. Eleven patients had received prior anti-PD-1-based treatment. Patients were categorized as responders (complete/partial response;

Indexed as

Biomarkers, TumorMelanomaHumansImmunohistochemistryImmunotherapyProgression-Free SurvivalBiomarkers, Tumorbiomarkerimmune checkpoint inhibitorsimmunotherapyLAG-3melanoma

Identifiers

PMID37808404
PMCPMC10558007
OpenAlexW4387341086

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.