Evidence map›Paper›PMID 41857425›Full record

ArticleJournal of cancer research and clinical oncology2026

KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population.

Jerin Thomas, Sophia Kennedy, Stella Darcy, Henrique Malaco, Nyasha Chambwe, Dev Kamdar, Lucio Periera, Andrew Salama, Danielle Scarola, Brett Miles and 3 more

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Article in Journal of cancer research and clinical oncology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Jerin ThomasNorthwell , New Hyde Park, NY, USA.
Sophia KennedyNorthwell , New Hyde Park, NY, USA.
Stella DarcyNorthwell , New Hyde Park, NY, USA.
Henrique MalacoNorthwell , New Hyde Park, NY, USA.
Nyasha ChambweNorthwell , New Hyde Park, NY, USA.
Dev KamdarNorthwell , New Hyde Park, NY, USA.
Lucio PerieraNorthwell , New Hyde Park, NY, USA.
Andrew SalamaNorthwell , New Hyde Park, NY, USA.
Danielle ScarolaNorthwell , New Hyde Park, NY, USA.
Brett MilesNorthwell , New Hyde Park, NY, USA.
Douglas FrankNorthwell , New Hyde Park, NY, USA.
Nagashree SeetharamuNorthwell , New Hyde Park, NY, USA.
Rajarsi MandalNorthwell , New Hyde Park, NY, USA. rmandal1@northwell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEmerging evidence indicates that granzyme K expressing tumor infiltrating CD8 + T-cells play a critical role in mediating anti-tumor T-cell immunity and immunotherapy treatment response. However, precise characterization and cell surface markers for the viable isolation of these cells from tumor samples are lacking.

methodsWe constructed a tumor-infiltrating CD8 + T cell subpopulation atlas (n = 286,827 cells) by integrating single-cell RNA sequencing datasets from two immunotherapy-treated patient cohorts with aerodigestive tract malignancies. This unified dataset facilitated detailed mapping of transcriptional trajectories and stringent identification of distinctive cell surface markers across major CD8 + tumor-infiltrating lymphocyte (TIL) compartments.

resultsAnalysis of the CD3 + CD8+ TIL transcriptional landscape revealed three predominant populations across all tumor types and treatment conditions: stem-like cells, dysfunctional effector cells, and GZMK+ effector cells. Notably, the GZMK+ effector population displayed a distinctive transcriptional profile lacking positive enrichment of pre-defined gene sets, suggesting a previously poorly characterized subpopulation without established cell surface markers. We performed high-dimensional flow cytometry on primary human tumor samples to validate candidate CD8 + TIL subpopulations. Through validation in primary human tumors, we established that cell surface KLRG1 reliably identifies and enables viable isolation of the GZMK+ effector TIL population. Concurrently, we demonstrated that dysfunctional and stem-like populations can be effectively isolated as KLRG1-CD39 + and KLRG1-CD39- CD55 + subsets, respectively. Importantly, accurate enrichment occurs despite decreased starting cell type proportion.

conclusionsOur characterization of CD8 + TIL subpopulations and validation of their distinguishing surface markers establishes a robust platform for isolation and protein-level granzyme assessment of these key cells in patient samples.

Indexed as

CD8-Positive T-LymphocytesGranzymesLectins, C-TypeLymphocytes, Tumor-InfiltratingReceptors, ImmunologicHumansGranzymesKLRG1 protein, humanLectins, C-TypeReceptors, ImmunologicGranzyme KHead and neck cancerImmunotherapySingle cell RNA sequencingTumor infiltrating lymphocyte

Identifiers

PMID41857425
PMCPMC13003044

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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.