Evidence map›Paper›PMID 39900903›Full record

ArticleNature communications2025

A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types.

Zhen Zeng, Tianbei Zhang, Jiajia Zhang, Shuai Li, Sydney Connor, Boyang Zhang, Yimin Zhao, Jordan Wilson, Dipika Singh, Rima Kulikauskas and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. HLA-II Expression Marks Activated and Clonally Expanded CD8International journal of molecular sciences · 2026
    Article
  2. Article
  3. Article
  4. Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Preexisting TCR Clones Drive Major Pathologic Responses in Patients with HNSCC Treated with Dual Immune Checkpoint Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Functional tumor-reactive CD8 + T cells in pancreatic cancer.Journal of experimental & clinical cancer research : CR · 2025
    Article
  18. Article
  19. Review
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

19 authors.

Zhen ZengBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.
Tianbei ZhangBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.ORCID http://orcid.org/0009-0003-3287-620X
Jiajia ZhangDavid Geffen School of Medicine, University of California, Los Angeles, CA, US.
Shuai LiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US.
Sydney ConnorBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.
Boyang ZhangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US.
Yimin ZhaoDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US.
Jordan WilsonDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US.
Dipika SinghBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.
Rima KulikauskasFred Hutchinson Cancer Center, Seattle, WA, US.ORCID http://orcid.org/0000-0003-1092-1594
Candice D ChurchFred Hutchinson Cancer Center, Seattle, WA, US.
Thomas H PulliamFred Hutchinson Cancer Center, Seattle, WA, US.
Saumya JaniFred Hutchinson Cancer Center, Seattle, WA, US.
Paul NghiemFred Hutchinson Cancer Center, Seattle, WA, US.ORCID http://orcid.org/0000-0003-2784-963X
Suzanne L TopalianBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.ORCID http://orcid.org/0000-0002-0821-8587
Patrick M FordeBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.ORCID http://orcid.org/0000-0001-6925-6344
Drew M PardollBloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US.ORCID http://orcid.org/0000-0001-6215-1013
Hongkai Ji *Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, US.ORCID http://orcid.org/0000-0002-6480-0141
Kellie N Smith *Bloomberg~Kimmel Institute for Cancer Immunotherapy, Baltimore, MD, US. kellie@jhmi.edu.ORCID http://orcid.org/0000-0002-6295-8930

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI WARNER KING HUH, TZYY-CHOOU WU · 2003 to 2026
$53.5M
Understand & overcome resistance to PD-1P01CA225517 · NCI · UNIVERSITY OF WASHINGTON · PI Cecilia C Yeung · 2019 to 2026
$22.7M
Interdisciplinary Tranining in Cancer ResearchT32CA080416 · NCI · UNIVERSITY OF WASHINGTON · PI STODDARD, BARRY L. · 1998 to 2023
$9.7M
Immunogenomic determinants of response and resistance to neoadjuvant anti-PD-1 in resectable NSCLCR37CA251447 · NCI · JOHNS HOPKINS UNIVERSITY · PI Kellie Nicole Smith · 2021 to 2026
$2.2M
Big Data Methods for Decoding Gene RegulationR01HG009518 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JI, HONGKAI · 2018 to 2021
$1.7M
Computational tools for regulome mapping using single-cell genomic dataR01HG010889 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI JI, HONGKAI · 2019 to 2022
$1.6M
Analytical Infrastructure for Multiple Sample Single Cell Genomic DataR01HG013409 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI Hongkai Ji · 2024 to 2026
$1.1M
Cancer Research Institute (CRI) CRI4946NCI NIH HHS P01 CA225517NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA098252NCI NIH HHS R37 CA251447NCI NIH HHS T32 CA080416NHGRI NIH HHS R01 HG009518NHGRI NIH HHS R01 HG010889NHGRI NIH HHS R01 HG013409U.S. Department of Health & Human Services | National Institutes of Health (NIH) P01CA255517U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30CA006973U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG009518U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG010889U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HG013409U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32CA080416U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37CA251447
6 · The paper itself

Abstract

Identifying tumor-specific T cell clones that mediate immunotherapy responses remains challenging. Mutation-associated neoantigen (MANA) -specific CD8+ tumor-infiltrating lymphocytes (TIL) have been shown to express high levels of CXCL13 and CD39 (ENTPD1), and low IL-7 receptor (IL7R) levels in many cancer types, but their collective relevance to T cell functionality has not been established. Here we present an integrative tool to identify MANA-specific TIL using weighted expression levels of these three genes in lung cancer and melanoma single-cell RNAseq datasets. Our three-gene "MANAscore" algorithm outperforms other RNAseq-based algorithms in identifying validated neoantigen-specific CD8+ clones, and accurately identifies TILs that recognize other classes of tumor antigens, including cancer testis antigens, endogenous retroviruses and viral oncogenes. Most of these TIL are characterized by a tissue resident memory gene expression program. Putative tumor-reactive cells (pTRC) identified via MANAscore in anti-PD-1-treated lung tumors had higher expression of checkpoint and cytotoxicity-related genes relative to putative non-tumor-reactive cells. pTRC in pathologically responding tumors showed distinguished gene expression patterns and trajectories. Collectively, we show that MANAscore is a robust tool that can greatly enrich candidate tumor-specific T cells and be used to understand the functional programming of tumor-reactive TIL.

Indexed as

Antigens, NeoplasmLung NeoplasmsLymphocytes, Tumor-InfiltratingNeoplasmsAlgorithmsCD8-Positive T-LymphocytesGene Expression Regulation, NeoplasticHumansImmunotherapyMelanomaMutationSingle-Cell AnalysisAntigens, Neoplasm

Identifiers

PMID39900903
PMCPMC11791090

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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.