Evidence map›Paper›PMID 42726782›Full record

ArticleCancer immunology research2026

Phenotypic and functional characterization of tumor-reactive T cells in malignant pleural effusions.

Noam S Gaiger, Jack Coburn, Mark N Lee, Lin Zhang, Heng-Le Chen, Gavitt A Woodard, Harriet M Kluger, David A Schoenfeld, Benjamin Y Lu

Abstract read
In one paragraph

Article in Cancer immunology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Noam S GaigerYale University New Haven, CT United States.ORCID 0000-0002-5638-1151
Jack CoburnYale University New Haven, CT United States.ORCID 0009-0003-9945-1476
Mark N LeeYale University New Haven, CT United States.ORCID 0000-0002-9576-9589
Lin ZhangYale University New Haven, CT United States.ORCID 0000-0002-0418-5706
Heng-Le ChenYale University New Haven, CT United States.ORCID 0009-0007-0383-814X
Gavitt A WoodardYale University New Haven, CT United States.ORCID 0000-0003-1985-9598
Harriet M KlugerYale University New Haven, CT United States.ORCID 0000-0002-4932-9873
David A SchoenfeldYale University New Haven, CT United States.ORCID 0000-0002-5202-3744
Benjamin Y LuYale University New Haven, CT United States.ORCID 0000-0001-8764-8384

Funding

Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI MEGAN C KING · 1985 to 2026
$85.0M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Kurt A Schalper · 2015 to 2026
$31.1M
YALE CANCER CENTER CALABRESI IMMUNO-ONCOLOGY TRAINING PROGRAMK12CA215110 · NCI · YALE UNIVERSITY · PI Harriet M. Kluger · 2018 to 2026
$6.1M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
The antigen specificity of tumor-targeting T cells in non-small cell lung cancerK08CA270191 · NCI · YALE UNIVERSITY · PI Mark N. Lee · 2023 to 2026
$1.1M
NCI NIH HHS K08 CA270191NCI NIH HHS K12 CA215110NCI NIH HHS P30 CA016359NCI NIH HHS P50 CA196530NIH HHS S10 OD030363
6 · The paper itself

Abstract

Adoptive cell therapy using tumor-infiltrating lymphocytes (TIL) is effective for treating advanced melanoma but requires surgical tumor resection. Malignant pleural effusions (MPE) may provide a more accessible source of tumor-reactive T cells. Synchronously collected MPE, lung metastasis, and blood from a patient with metastatic melanoma were analyzed using high-dimensional flow cytometry, and single-cell RNA/T cell receptor (TCR) sequencing. TCR reactivity to autologous tumor was tested in vitro. The proliferative and cytotoxic capacity of ex vivo expanded T cells was assessed in vitro. MPE contained a higher fraction of CD3+ T cells compared with tumor and was enriched for effector CD8+ T cells and effector memory CD4+ T cells. Compared with TIL, MPE T cells exhibited lower features of T cell exhaustion and higher cytotoxicity signatures. The clonal repertoire of MPE and tumor highly overlapped, including 62.2% of predicted neoantigen-specific (NeoTCR) clonotypes. MHC class I-restricted reactivity was functionally confirmed in two of four selected NeoTCR clonotypes. MPE T cells demonstrated higher proliferative capacity under high-dose IL-2 expansion relative to TIL and achieved comparable MHC class I-dependent tumor killing. Overall, MPE contains polyclonal, tumor-reactive T cells with favorable functional features, supporting MPE as an accessible source for TIL therapy.

Identifiers

PMID42726782
PMCPMC13659691

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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.