Evidence map›Paper›PMID 39660130›Full record

ReviewFrontiers in immunology2024

Lymphocyte-activation gene 3 in cancer immunotherapy: function, prognostic biomarker and therapeutic potentials.

Ke Ren, Hayam Hamdy, Abdo Meyiah, Eyad Elkord

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
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  4. Molecular imaging and biology · 2026
    Article
  5. Review
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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

4 authors.

Ke RenDepartment of Biosciences and Bioinformatics, School of Science, Suzhou Municipal Key Lab in Biomedical Sciences and Translational Immunology, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.
Hayam HamdyDepartment of Forensic Medicine and Toxicology, Faculty of Veterinary Medicine, New Valley University, New Valley, Egypt.
Abdo MeyiahDepartment of Biosciences and Bioinformatics, School of Science, Suzhou Municipal Key Lab in Biomedical Sciences and Translational Immunology, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.
Eyad ElkordDepartment of Biosciences and Bioinformatics, School of Science, Suzhou Municipal Key Lab in Biomedical Sciences and Translational Immunology, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphocyte-activation gene 3 (LAG-3) has emerged as a key immune checkpoint regulating immune responses in the context of cancer. The inhibitory effect of LAG-3-expressing T cells contributes to suppressing anti-tumor immunity and promoting tumor progression. This review discusses the function of LAG-3 in immune suppression, its interactions with ligands, and its potential as a prognostic biomarker for cancers. We also explore therapeutic strategies targeting LAG-3, including monoclonal antibodies, small molecule inhibitors, and CAR T cells. This review summarizes the current preclinical and clinical studies on LAG-3, highlighting the potential of therapeutic regimens targeting LAG-3 to enhance antitumor immunity and improve patients' outcomes. Further studies are needed to fully elucidate the mechanism of action of LAG-3 and optimize its application in tumor therapy.

Indexed as

Biomarkers, TumorImmunotherapyLymphocyte Activation Gene 3 ProteinNeoplasmsAnimalsAntigens, CDHumansImmune Checkpoint InhibitorsPrognosisAntigens, CDBiomarkers, TumorImmune Checkpoint InhibitorsLag3 protein, humanLymphocyte Activation Gene 3 Proteinbiomarkercancerimmune checkpointLAG-3T cells

Identifiers

PMID39660130
PMCPMC11628531

What OpenQuestion holds

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Registered trials

None linked

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.