Multiomics and spatial mapping characterizes human CD8 + T cell states in cancer

Author:

Naulaerts Stefan1234ORCID,Datsi Angeliki5ORCID,Borras Daniel M.1,Antoranz Martinez Asier6ORCID,Messiaen Julie6ORCID,Vanmeerbeek Isaure1ORCID,Sprooten Jenny1ORCID,Laureano Raquel S.1ORCID,Govaerts Jannes1,Panovska Dena6,Derweduwe Marleen6ORCID,Sabel Michael C.7,Rapp Marion7,Ni Weiming8,Mackay Sean8,Van Herck Yannick9,Gelens Lendert10ORCID,Venken Tom1112ORCID,More Sanket13ORCID,Bechter Oliver9ORCID,Bergers Gabriele1415ORCID,Liston Adrian161718ORCID,De Vleeschouwer Steven192021ORCID,Van Den Eynde Benoit J.234ORCID,Lambrechts Diether1112ORCID,Verfaillie Michiel22,Bosisio Francesca23ORCID,Tejpar Sabine24ORCID,Borst Jannie25ORCID,Sorg Rüdiger V.5ORCID,De Smet Frederik6ORCID,Garg Abhishek D.1ORCID

Affiliation:

1. Laboratory of Cell Stress & Immunity, Department of Cellular and Molecular Medicine, KU Leuven, Leuven 3000, Belgium.

2. Ludwig Institute for Cancer Research, Brussels 1200, Belgium.

3. Nuffield Department of Clinical Medicine, University of Oxford, Oxford OX1 4BH, UK.

4. De Duve Institute, UCLouvain, Brussels 1200, Belgium.

5. Institute for Transplantation Diagnostics and Cell Therapeutics, Medical Faculty, Heinrich Heine University Hospital, Düsseldorf 40225, Germany.

6. Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven 3000, Belgium.

7. Department of Neurosurgery, Medical Faculty, Heinrich Heine University Hospital, Düsseldorf 40225, Germany.

8. IsoPlexis Corporation, Branford, CT 06405-2801, USA.

9. Laboratory of Experimental Oncology, Department of Oncology, KU Leuven and Department of General Medical Oncology, UZ Leuven, Leuven 3000, Belgium.

10. Laboratory of Dynamics in Biological Systems, Department of Cellular and Molecular Medicine, KU Leuven, Leuven 3000, Belgium.

11. Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven 3000, Belgium.

12. VIB Center for Cancer Biology, VIB, Leuven 3000, Belgium.

13. Department of Cellular and Molecular Medicine, KU Leuven, Leuven 3000, Belgium.

14. Laboratory of Tumor Microenvironment and Therapeutic Resistance, Department of Oncology, VIB Center for Cancer Biology, KU Leuven, Leuven 3000, Belgium.

15. Department of Neurological Surgery, UCSF Comprehensive Cancer Center, UCSF, San Francisco, CA 94143-0350, USA.

16. VIB Center for Brain and Disease Research, Leuven 3000, Belgium.

17. Department of Microbiology, Immunology, and Transplantation, KU Leuven, Leuven 3000, Belgium.

18. Laboratory of Lymphocyte Signalling and Development, The Babraham Institute, Cambridge CB22 3AT, UK.

19. Department of Neurosurgery, University Hospitals Leuven, Leuven 3000, Belgium.

20. Laboratory of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.

21. Leuven Brain Institute (LBI), Leuven 3000, Belgium.

22. Neurosurgery Department, Europaziekenhuizen – Cliniques de l’Europe, Sint-Elisabeth, Brussels 1180, Belgium.

23. Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven 3000, Belgium.

24. Laboratory for Molecular Digestive Oncology, Department of Oncology, KU Leuven, Leuven 3000, Belgium.

25. Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden 2333 ZA, Netherlands.

Abstract

Clinically relevant immunological biomarkers that discriminate between diverse hypofunctional states of tumor-associated CD8 + T cells remain disputed. Using multiomics analysis of CD8 + T cell features across multiple patient cohorts and tumor types, we identified tumor niche–dependent exhausted and other types of hypofunctional CD8 + T cell states. CD8 + T cells in “supportive” niches, like melanoma or lung cancer, exhibited features of tumor reactivity–driven exhaustion (CD8 + T EX ). These included a proficient effector memory phenotype, an expanded T cell receptor (TCR) repertoire linked to effector exhaustion signaling, and a cancer-relevant T cell–activating immunopeptidome composed of largely shared cancer antigens or neoantigens. In contrast, “nonsupportive” niches, like glioblastoma, were enriched for features of hypofunctionality distinct from canonical exhaustion. This included immature or insufficiently activated T cell states, high wound healing signatures, nonexpanded TCR repertoires linked to anti-inflammatory signaling, high T cell–recognizable self-epitopes, and an antiproliferative state linked to stress or prodeath responses. In situ spatial mapping of glioblastoma highlighted the prevalence of dysfunctional CD4 + :CD8 + T cell interactions, whereas ex vivo single-cell secretome mapping of glioblastoma CD8 + T cells confirmed negligible effector functionality and a promyeloid, wound healing–like chemokine profile. Within immuno-oncology clinical trials, anti–programmed cell death protein 1 (PD-1) immunotherapy facilitated glioblastoma’s tolerogenic disparities, whereas dendritic cell (DC) vaccines partly corrected them. Accordingly, recipients of a DC vaccine for glioblastoma had high effector memory CD8 + T cells and evidence of antigen-specific immunity. Collectively, we provide an atlas for assessing different CD8 + T cell hypofunctional states in immunogenic versus nonimmunogenic cancers.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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