Evidence map›Paper›PMID 38627362›Full record

ArticleNature communications2024

Uveal melanoma immunogenomics predict immunotherapy resistance and susceptibility.

Shravan Leonard-Murali, Chetana Bhaskarla, Ghanshyam S Yadav, Sudeep K Maurya, Chenna R Galiveti, Joshua A Tobin, Rachel J Kann, Eishan Ashwat, Patrick S Murphy, Anish B Chakka and 10 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
18.9field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  3. Uveal Melanoma: Changing Paradigms of Treatment.Ocular oncology and pathology · 2026
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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

20 authors at 4 institutions in 1 country.

Shravan Leonard-MuraliUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Chetana BhaskarlaUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0009-0009-6588-8083
Ghanshyam S YadavUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Sudeep K MauryaUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Chenna R GalivetiUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Joshua A TobinUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Rachel J KannUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Eishan AshwatUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Patrick S MurphyUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Anish B ChakkaDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-1095-1817
Vishal SomanDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Paul G CantalupoDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Xinming ZhuoUPMC Genome Center, University of Pittsburgh, Pittsburgh, PA, USA.
Gopi VyasUPMC Genome Center, University of Pittsburgh, Pittsburgh, PA, USA.
Dara L KozakUPMC Genome Center, University of Pittsburgh, Pittsburgh, PA, USA.
Lindsey M KellyUPMC Genome Center, University of Pittsburgh, Pittsburgh, PA, USA.
Ed SmithUPMC Genome Center, University of Pittsburgh, Pittsburgh, PA, USA.ORCID http://orcid.org/0009-0000-6024-5227
Uma R ChandranUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Yen-Michael S HsuUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Udai S KammulaUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA. kammulaus@upmc.edu.ORCID http://orcid.org/0000-0001-6894-4356
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · USUPMC Hillman Cancer Center · USUPMC Health System · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
Postdoctoral Research Training in Biotherapy of CancerT32CA113263 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Udai S Kammula · 2006 to 2026
$3.6M
Metabolic Reprogramming of Tumor Infiltrating Lymphocytes for Adoptive ImmunotherapyR01CA233521 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMMULA, UDAI S · 2019 to 2023
$1.8M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA233521NCI NIH HHS T32 CA113263NIH HHS S10 OD028483
6 · The paper itself

Abstract

Immune checkpoint inhibition has shown success in treating metastatic cutaneous melanoma but has limited efficacy against metastatic uveal melanoma, a rare variant arising from the immune privileged eye. To better understand this resistance, we comprehensively profile 100 human uveal melanoma metastases using clinicogenomics, transcriptomics, and tumor infiltrating lymphocyte potency assessment. We find that over half of these metastases harbor tumor infiltrating lymphocytes with potent autologous tumor specificity, despite low mutational burden and resistance to prior immunotherapies. However, we observe strikingly low intratumoral T cell receptor clonality within the tumor microenvironment even after prior immunotherapies. To harness these quiescent tumor infiltrating lymphocytes, we develop a transcriptomic biomarker to enable in vivo identification and ex vivo liberation to counter their growth suppression. Finally, we demonstrate that adoptive transfer of these transcriptomically selected tumor infiltrating lymphocytes can promote tumor immunity in patients with metastatic uveal melanoma when other immunotherapies are incapable.

Indexed as

MelanomaSkin NeoplasmsUveal NeoplasmsHumansImmunotherapyLymphocytes, Tumor-InfiltratingTumor MicroenvironmentUveal Melanoma

Identifiers

PMID38627362
PMCPMC11021475
OpenAlexW4394854593

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.