Evidence map›Paper›PMID 41686210›Full record

ArticleCancer immunology research2026

Ex Vivo Expansion of Melanoma Tumor-Infiltrating Lymphocytes Leads to a Dominant Exhausted T-cell Population with a Lack of Memory Markers.

Gianfilippo Coppola, Samuel Kerr, Pei-Chun Cha, Alexey Bersenev, Kelly Olino, Harriet M Kluger, Mario Sznol, Sarah A Weiss, Marcus W Bosenberg, Steven H Kleinstein and 3 more

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

13 authors.

Gianfilippo CoppolaDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-2675-783X
Samuel KerrDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-3736-1881
Pei-Chun ChaDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0009-0008-1941-6395
Alexey BersenevDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-1442-0009
Kelly OlinoDepartment of Surgery (Oncology), Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-6209-5218
Harriet M KlugerYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-4932-9873
Mario SznolYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-4137-9662
Sarah A WeissYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-1106-7089
Marcus W BosenbergDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-0166-1612
Steven H KleinsteinDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-4957-1544
Diane S KrauseDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-9420-6947
Michael E HurwitzYale Cancer Center, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-1326-7308
Samuel G KatzDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-1744-8568

Funding

Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI MARCUS W BOSENBERG, Harriet M. Kluger · 2006 to 2026
$43.9M
Enhancing Melanoma TIL Efficacy with Multifactor mRNA-Mediated T Cell ReprogrammingR21CA282629 · NCI · YALE UNIVERSITY · PI HURWITZ, MICHAEL E, KATZ, SAMUEL G · 2023 to 2024
$539k
Engineering the ER Stress Response to Promote the Survival and Cytotoxic Specificity of CAR T cellsF31CA247018 · NCI · YALE UNIVERSITY · PI KERR, SAMUEL ROBERT · 2020 to 2021
$92k
National Institutes of Health (NIH) F31CA247018National Institutes of Health (NIH) R21CA282629NCI NIH HHS P50 CA121974NCI NIH HHS R21 CA282629U.S. Department of Defense (DOD) ME220220
6 · The paper itself

Abstract

Tumor-infiltrating lymphocytes (TIL) can be isolated from patient tumors, greatly expanded ex vivo, and returned to the patient for therapeutic effect. Recent clinical trials have highlighted the efficacy of TILs for a subset of patients and supported FDA approval for melanoma. How TILs evolve during the manufacturing process is still unknown and likely critical to improving the therapy for more patients. To characterize cell modification during TIL expansion, we performed single-cell RNA and T-cell receptor sequencing of TILs isolated from patient tumors and their paired ex vivo expanded cell products. We found large transcriptional differences between pre- and post-expansion TILs. Post-expansion TILs were predominantly exhausted and lacked naïve or memory cell phenotypes, including a decreased percentage of CD39/CD69 double-negative (DN) "stem-like" T cells. Coactivating receptors CD137 and CD27 decreased, whereas CD30 increased. Among coinhibitory receptors, PDCD1 (PD-1) decreased, whereas HAVCR2 (TIM3) and LAG3 showed the largest increases with expansion. Other gene families that showed large increases with ex vivo growth included cytotoxicity- and APC-associated genes. Individual clonotypes were distributed among multiple cell differentiation states, which exhibited high degrees of plasticity during expansion. Although ex vivo expanded TILs are predominantly terminally differentiated, exhausted, and transcriptionally highly distinct from the initial TILs, there is also a large progenitor exhausted CD8 T-cell population, and DN numbers increase. Future work to amplify subpopulations of TILs with memory cell phenotypes, such as the DN cells, will likely further improve this therapy.

Indexed as

Immunologic MemoryLymphocytes, Tumor-InfiltratingMelanomaHumansMemory T CellsT-Cell Exhaustion

Identifiers

PMID41686210
PMCPMC13032746

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.