Evidence map›Paper›PMID 38323282›Full record

ArticleAmerican journal of cancer research2024

LAG-3 transcriptomic expression correlates linearly with other checkpoints, but not with clinical outcomes.

Jacob J Adashek, Shumei Kato, Daisuke Nishizaki, Sarabjot Pabla, Mary K Nesline, Rebecca A Previs, Jeffrey M Conroy, Paul DePietro, Razelle Kurzrock

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. 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

9 authors.

Jacob J AdashekDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Hospital Baltimore, MD 21287, USA.
Shumei KatoCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center La Jolla, CA 92093, USA.
Daisuke NishizakiCenter for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center La Jolla, CA 92093, USA.
Sarabjot PablaLabcorp Oncology Durham, NC 27560, USA.
Mary K NeslineLabcorp Oncology Durham, NC 27560, USA.
Rebecca A PrevisLabcorp Oncology Durham, NC 27560, USA.
Jeffrey M ConroyLabcorp Oncology Durham, NC 27560, USA.
Paul DePietroLabcorp Oncology Durham, NC 27560, USA.
Razelle KurzrockWIN Consortium Paris 94550, France.

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Medical College of Wisconsin Lead Academic Participating Site RenewalUG1CA233198 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI William H Bradley, Elizabeth M Gore · 2019 to 2026
$5.0M
NCI NIH HHS P30 CA023100NCI NIH HHS U10 CA180888NCI NIH HHS UG1 CA233198
6 · The paper itself

Abstract

Immune checkpoint inhibitors have revolutionized the treatment landscape for patients with cancer. Multi-omics, including next-generation DNA and RNA sequencing, have enabled the identification of exploitable targets and the evaluation of immune mediator expression. There is one FDA-approved LAG-3 inhibitor and multiple in clinical trials for numerous cancers. We analyzed LAG-3 transcriptomic expression among 514 patients with diverse cancers, including 489 patients with clinical annotation for their advanced malignancies. Transcriptomic LAG-3 expression was highly variable between histologies/cancer types and within the same histology/cancer type. LAG-3 RNA levels correlated linearly, albeit weakly, with high RNA levels of other checkpoints, including PD-L1 (Pearson's R

Indexed as

biomarkercancercheckpointsimmunotherapyLAG-3

Identifiers

PMID38323282
PMCPMC10839320

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.