Evidence map›Paper›PMID 38416133›Full record

ArticleCancer discovery2024

Glioblastoma-Infiltrating CD8+ T Cells Are Predominantly a Clonally Expanded GZMK+ Effector Population.

Anthony Z Wang, Bryce L Mashimo, Maximilian O Schaettler, Ngima D Sherpa, Lydia A Leavitt, Alexandra J Livingstone, Saad M Khan, Mao Li, Markus I Anzaldua-Campos, Joseph D Bradley and 11 more

Open access · greenAbstract read
In one paragraph

Article in Cancer discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
10.3field-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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Abundant CD8British journal of cancer · 2026
    Article
  5. Article
  6. All-trans retinoic acid suppresses CD8Signal transduction and targeted therapy · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. KLRG1 defines a distinct tumor-infiltrating granzyme K+ CD8 + T cell population.Journal of cancer research and clinical oncology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. 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

21 authors at 6 institutions in 1 country.

Anthony Z WangDepartment of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri.ORCID 0000-0003-4824-9908
Bryce L Mashimo *Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6691-4169
Maximilian O Schaettler *Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri.ORCID 0000-0001-7545-6342
Ngima D SherpaDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5392-3333
Lydia A LeavittDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-7087-1990
Alexandra J LivingstoneDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-5471-4576
Saad M KhanDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-1385-2056
Mao LiDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6058-5229
Markus I Anzaldua-CamposDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-4727-3404
Joseph D BradleyDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0009-0003-0318-8934
Eric C LeuthardtDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0003-4154-3135
Albert H KimDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-1751-8493
Joshua L DowlingDepartment of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-0340-7493
Michael R ChicoineDepartment of Neurological Surgery, University of Missouri-Columbia, Columbia, Missouri.ORCID 0000-0002-0689-8603
Pamela S JonesDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4573-3641
Bryan D ChoiDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5090-2470
Daniel P CahillDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-2552-6546
Bob S CarterDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-3586-1324
Allegra A PettiDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-6884-6107
Tanner M JohannsDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0003-1094-1528
Gavin P DunnDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-9302-4834
Massachusetts General Hospital · USWashington University in St. Louis · USBrigham and Women's Hospital · USHarvard University Press · USUniversity of Louisville · USUniversity of Missouri · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
Cancer Research Foundation (CRF)Cancer Research Institute (CRI)National Cancer Institute (NCI)NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

Recent clinical trials have highlighted the limited efficacy of T cell-based immunotherapy in patients with glioblastoma (GBM). To better understand the characteristics of tumor-infiltrating lymphocytes (TIL) in GBM, we performed cellular indexing of transcriptomes and epitopes by sequencing and single-cell RNA sequencing with paired V(D)J sequencing, respectively, on TILs from two cohorts of patients totaling 15 patients with high-grade glioma, including GBM or astrocytoma, IDH-mutant, grade 4 (G4A). Analysis of the CD8+ TIL landscape reveals an enrichment of clonally expanded GZMK+ effector T cells in the tumor compared with matched blood, which was validated at the protein level. Furthermore, integration with other cancer types highlights the lack of a canonically exhausted CD8+ T-cell population in GBM TIL. These data suggest that GZMK+ effector T cells represent an important T-cell subset within the GBM microenvironment and may harbor potential therapeutic implications. SIGNIFICANCE: To understand the limited efficacy of immune-checkpoint blockade in GBM, we applied a multiomics approach to understand the TIL landscape. By highlighting the enrichment of GZMK+ effector T cells and the lack of exhausted T cells, we provide a new potential mechanism of resistance to immunotherapy in GBM. This article is featured in Selected Articles from This Issue, p. 897.

Indexed as

Brain NeoplasmsCD8-Positive T-LymphocytesGlioblastomaHumansLymphocytes, Tumor-InfiltratingTumor Microenvironment

Identifiers

PMID38416133
PMCPMC13480461
OpenAlexW4392242076

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.