Integrative multi-omics reveals a regulatory and exhausted T-cell landscape in CLL and identifies galectin-9 as an immunotherapy target
- Nat Commun. 2025 Aug 7;16(1):7271. doi: 10.1038/s41467-025-61822-x.
- 1. Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- 2. Tumor Stroma Interactions, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg.
- 3. Faculty of Biosciences, University of Heidelberg, Heidelberg, Germany.
- 4. CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany.
- 5. Institute for Computational Biomedicine, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Heidelberg, Germany.
- 6. Department of Internal Medicine V, Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany.
- 7. European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
- 8. Molecular Medicine Partnership Unit (MMPU), Heidelberg, Germany.
- 9. scOpenLab, German Cancer Research Center, Heidelberg, Germany.
- 10. National Cytometry Platform, Luxembourg Institute of Health, Luxembourg, Luxembourg.
- 11. RareCyte, Seattle, WA, USA.
- 12. Institute for Pathology, University of Würzburg, Würzburg, Germany.
- 13. Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hematopathology Unit, Hospital Clinic, CIBERONC, Barcelona, Spain.
- 14. Translational Spatial Profiling Center (TSPC), Heidelberg University Hospital, Heidelberg, Germany.
- 15. Institute of Pathology, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Heidelberg, Germany.
- 16. Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany. [email protected].
- # Contributed equally.
T-cell exhaustion contributes to immunotherapy failure in Chronic Lymphocytic Leukemia (CLL). Here, we analyze T cells from CLL patients' blood, bone marrow, and Lymph Nodes, as well as from a CLL mouse model, using single-cell RNA Sequencing, mass cytometry, and tissue imaging. T cells in CLL Lymph Nodes show the most distinct profiles, with accumulation of regulatory T cells and CD8+ T cells in various exhaustion states, including precursor (TPEX) and terminally exhausted (TEX) cells. Integration of T-cell receptor Sequencing data and use of the predicTCR classifier suggest an enrichment of CLL-reactive T cells in Lymph Nodes. Interactome studies reveal potential immunotherapy targets, notably Galectin-9, a Tim3 Ligand. Inhibiting Galectin-9 in mice reduces disease progression and Tim3+ T cells. Galectin-9 expression also correlates with worse survival in CLL and other cancers, suggesting its role in immune evasion and potential as a therapeutic target.
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