Journal Articles

Lymph node colonization induces tissue remodeling via immunosuppressive fibroblast-myeloid cell niches supporting metastatic tolerance

Spotlight 

Haist and Baertsch et al. studied the impact of tumor cell colonization of lymph nodes (LN) in patients with HNSCC and in a LN metastasis melanoma model. Primary tumors and paired LNs of node-positive patients showed an enrichment of spatially organized niches of immunosuppressive myeloid cells and CAFs that extended to adjacent tumor-free LNs, were absent in non-cancer patients, and were associated with T cell dysfunction. In the mouse model, LN colonization led to myeloid–CAF niches linked to T cell dysfunction (PD-L1hi CD86low) and Treg activation, suggesting LN colonization was an active driver of systemic immunosuppression.

Contributed by Katherine Turner

Haist and Baertsch et al. studied the impact of tumor cell colonization of lymph nodes (LN) in patients with HNSCC and in a LN metastasis melanoma model. Primary tumors and paired LNs of node-positive patients showed an enrichment of spatially organized niches of immunosuppressive myeloid cells and CAFs that extended to adjacent tumor-free LNs, were absent in non-cancer patients, and were associated with T cell dysfunction. In the mouse model, LN colonization led to myeloid–CAF niches linked to T cell dysfunction (PD-L1hi CD86low) and Treg activation, suggesting LN colonization was an active driver of systemic immunosuppression.

Contributed by Katherine Turner

ABSTRACT: Lymph node (LN) colonization in cancer is linked to poor prognosis. Evidence suggests that LN colonization induces systemic immunosuppression, facilitating distant metastasis. We investigated LN-mediated immunosuppression in patients with head-and-neck cancer using spatial proteomics, spatial transcriptomics, and an in vivo model of melanoma LN metastasis. Both primary tumors and paired LNs of nodal-positive patients exhibit enhanced interferon-γ signaling and an enrichment of immunosuppressive myeloid cells and cancer-associated fibroblasts (CAFs). The spatial intersection of these myeloid-CAF-enriched niches with perifollicular T cell zones and LN follicles is linked to enhanced T cell dysfunction and Treg activation therein, thereby driving architectural LN remodeling. These immune suppressive changes extend to adjacent non-tumor-involved LN regions and nearby tumor-free LNs, but were not detected in LNs of non-cancer patients, reflecting a systemic effect that compromises anti-tumor immunity beyond the tumor-involved LN. Hence, our findings establish LN colonization as an active driver of systemic immunosuppression, facilitating metastatic progression.

Author Info: 1- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA 2- Department of Pathology, Stanford University School of Medicine, Stanford

Author Info: 1- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA 2- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA 3- Department of Dermatology, University Medical Center Mainz, Mainz, Germany 4- Department of Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany 5- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center, Heidelberg, Germany 6- Department of Otolaryngology, Stanford University, Stanford, CA, USA 7- Molecular Biosciences/Cancer Biology Program, Heidelberg University, Heidelberg, Germany 8- German Cancer Research Center, DKFZ, Heidelberg, Germany 9- Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany 10- Stanford Cancer Institute, Stanford University, Stanford, CA, USA 11- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA 12- Departments of Biological Sciences and Computer Science, Purdue University, West Lafayette, IN, USA 13- Department of Radiation Oncology, Stanford University, Stanford, CA, USA 14- Department of Pathology, University Medical Center Mainz, Mainz, Germany 15- Department of Radiation Oncology and Radiotherapy, University Medical Center Mainz, Mainz, Germany 16- Department of Medicine, Stanford University, Stanford, CA, USA 17- Department of Radiology, Stanford University, Stanford, CA, USA 18- Department of Biomedical Engineering, Duke University, Durham, NC, USA 19- These authors contributed equally 20- Lead contact

Stepwise epigenetic signal integration drives adaptive programming of cytotoxic lymphocytes Spotlight 

Grassmann and Santosa et al. showed that temporal integration of antigen and inflammatory cytokine signals, not solely signal availability, determined lymphocyte fate. Antigen receptor engagement before IL-12 signaling initiated an adaptive NK cell response during MCMV infection, whereas IL-12 signaling without prior antigen exposure enforced terminal effector differentiation. Antigen priming led to chromatin changes that redirected STAT4 genomic binding away from ETS/RUNX motifs and toward AP-1 binding sites. In CD8+ T cells, AP-1/STAT4 cooperation depended on TCR avidity and signal strength, and determined effector versus memory differentiation.

Contributed by Shishir Pant

Grassmann and Santosa et al. showed that temporal integration of antigen and inflammatory cytokine signals, not solely signal availability, determined lymphocyte fate. Antigen receptor engagement before IL-12 signaling initiated an adaptive NK cell response during MCMV infection, whereas IL-12 signaling without prior antigen exposure enforced terminal effector differentiation. Antigen priming led to chromatin changes that redirected STAT4 genomic binding away from ETS/RUNX motifs and toward AP-1 binding sites. In CD8+ T cells, AP-1/STAT4 cooperation depended on TCR avidity and signal strength, and determined effector versus memory differentiation.

Contributed by Shishir Pant

ABSTRACT: Lymphocyte differentiation during infection depends on the integration of antigen and cytokine signals, yet how the timing and sequence of these cues program cell fate remains unclear. We found that interleukin-12 (IL-12) plays a context-dependent role in immune memory formation. Without prior antigen-receptor signaling, IL-12 drove cytotoxic lymphocytes toward terminal effector differentiation. In contrast, antigen signaling redirected IL-12-STAT4 activity through cooperation with AP-1 transcription factors to promote memory formation. This stepwise signal integration enabled lymphocytes to acquire memory rather than effector fates. Whereas CD8(+) T cells were protected from premature IL-12 signaling by delayed receptor expression, natural killer (NK) cells, which constitutively express the IL-12 receptor, must engage their antigen receptor before cytokine signaling for efficient adaptive programming. Together, these findings define a framework in which sequential antigen and cytokine signaling coordinates effector versus memory differentiation, ensuring both robust primary responses and selective enrichment of high-avidity memory clones.

Author Info: (1) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: grassmas@mskcc.org. (2) Immunology Program, Memorial Sloan Kettering Ca

Author Info: (1) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: grassmas@mskcc.org. (2) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Immunology and Microbial Pathogenesis, Weill Cornell Medical College, New York, NY 10065, USA. (3) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Louis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. (4) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Immunology and Microbial Pathogenesis, Weill Cornell Medical College, New York, NY 10065, USA. (5) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. (6) Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. (7) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Immunology and Microbial Pathogenesis, Weill Cornell Medical College, New York, NY 10065, USA. (8) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Immunology and Microbial Pathogenesis, Weill Cornell Medical College, New York, NY 10065, USA. (9) Institute for Medical Microbiology, Immunology and Hygiene, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany. (10) Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA. (11) Immuno-Oncology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA. (12) Institute for Medical Microbiology, Immunology and Hygiene, TUM School of Medicine and Health, Technical University of Munich (TUM), 81675 Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany. (13) Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA. (14) Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Immunology and Microbial Pathogenesis, Weill Cornell Medical College, New York, NY 10065, USA. Electronic address: sunj@mskcc.org.

Scalable TCR synthesis and screening enable antigen reactivity mapping in vitiligo

Spotlight 

Gaglione et al. developed TCRAFT, a pooled synthesis method to rapidly assemble large TCR libraries (>104) with high accuracy (>99%) and native ɑ/β chain pairing. Integration with RAPTR, a pMHC-targeted lentiviral screening approach for detection of activated T cells, enabled one-pot library/library antigen reactivity screening. The method elucidated specific TCR/peptide pairs among 3,808 vitiligo-derived TCRs with similar fidelity to peptide/APC screening. Overlay of clonotype identity with scRNAseq data revealed a signature of melanocyte-reactive clones and enabled comparisons between identical clones involved in melanoma and vitiligo.

Contributed by Morgan Janes

Gaglione et al. developed TCRAFT, a pooled synthesis method to rapidly assemble large TCR libraries (>104) with high accuracy (>99%) and native ɑ/β chain pairing. Integration with RAPTR, a pMHC-targeted lentiviral screening approach for detection of activated T cells, enabled one-pot library/library antigen reactivity screening. The method elucidated specific TCR/peptide pairs among 3,808 vitiligo-derived TCRs with similar fidelity to peptide/APC screening. Overlay of clonotype identity with scRNAseq data revealed a signature of melanocyte-reactive clones and enabled comparisons between identical clones involved in melanoma and vitiligo.

Contributed by Morgan Janes

ABSTRACT: T cells initiate targeted immune responses using T cell receptors (TCRs) to recognize specific antigens. Mapping TCRs to antigens at scale remains a major challenge. Here, we developed an approach to synthesize and functionally screen tens of thousands of TCRs simultaneously. TCR rapid assembly for functional testing (TCRAFT) uses a modular strategy to rapidly and inexpensively construct large pools of TCRs from sequences while maintaining TCRα/β pairing. We applied TCRAFT to reconstruct over 3,800 TCRs from vitiligo blister fluid and mapped these TCRs to specific peptide-major histocompatibility complexes using RAPTR, an activation-based library-on-library screening approach. Vitiligo antigen-specific T cells displayed pronounced clonal expansion and transcriptomic signatures similar to antigen-specific T cells in melanoma, pointing to shared features of disease-relevant T cells in autoimmunity and cancer. Demonstrating scalability, we synthesized and screened over 30,800 TCRs from donors with pancreatic ductal adenocarcinoma to capture antigen-reactive TCRs. Our approach expands the scale and accessibility of TCR-antigen screening, which is critical to understanding immunity and developing new immunotherapies.

Author Info: (1) Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Koch Institute for Integrative Cancer Research, Cambridge, MA, USA. (2) Koch Inst

Author Info: (1) Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Koch Institute for Integrative Cancer Research, Cambridge, MA, USA. (2) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (3) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (4) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Immunology, Harvard Medical School, Boston, MA, USA. (5) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (6) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (7) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (8) Department of Immunology, Harvard Medical School, Boston, MA, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA. (9) Department of Dermatology, University of Massachusetts Chan Medical School, 364 Plantation St, Worcester, MA, USA. (10) Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA. (11) Department of Medicine, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. (12) Department of Immunology, Harvard Medical School, Boston, MA, USA; Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. (13) Fletcher Biosciences, Inc., Cambridge, MA, USA. (14) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (15) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (16) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (17) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (18) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (19) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (20) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA. (21) Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA. (22) Department of Medicine, Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA. (23) Department of Immunology, Harvard Medical School, Boston, MA, USA; Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. (24) Department of Dermatology, University of Massachusetts Chan Medical School, 364 Plantation St, Worcester, MA, USA. (25) Inflammation & Immunology Research Unit, Pfizer Inc., Cambridge, MA 02139, USA. (26) Koch Institute for Integrative Cancer Research, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA. Electronic address: mbirnb@mit.edu.

BACH2 dosage establishes the hierarchy of stemness and fine-tunes antitumor immunity in CAR T cells

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Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

ABSTRACT: Stem-like T cells promote the efficacy of immunotherapy and are heterogeneous in stemness, with long-term (LT) stem-like T cells at the apex of this hierarchy. How the stemness hierarchy is regulated in chimeric antigen receptor (CAR) T cells and how it affects antitumor function are unclear. Here we show that BACH2 dose-dependently regulates LT stem-like differentiation and antitumor immunity of CAR T cells. LT stem-like CAR T cells that appear before infusion and re-emerge after tumor clearance have superior antitumor immunity and the greatest BACH2 expression. BACH2 promotes the antitumor response of CAR T cells and the LT stem-like transcriptional program. Temporal and quantitative induction of BACH2 expression in CAR T cells during manufacturing using chemical switches fine-tunes the degree of stemness and imprints greater control of solid tumors. Together, these data show that BACH2 dosage defines stemness hierarchy in CAR T cells and can be temporally and tunably controlled to optimize differentiation and antitumor efficacy.

Author Info: (1) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. (2) Department of Immunology, University of Texas Southwestern Medical Center, Dalla

Author Info: (1) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. (2) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Immunology PhD Program, University of Texas Southwestern Medical Center, Dallas, TX, USA. (3) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. (4) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Immunology PhD Program, University of Texas Southwestern Medical Center, Dallas, TX, USA. (5) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. (6) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. (7) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. Cancer Biology PhD Program, University of Texas Southwestern Medical Center, Dallas, TX, USA. (8) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. chen.yao@utsouthwestern.edu. Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA. chen.yao@utsouthwestern.edu. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA. chen.yao@utsouthwestern.edu. (9) Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA. tuoqi.wu@utsouthwestern.edu. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA. tuoqi.wu@utsouthwestern.edu. Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA. tuoqi.wu@utsouthwestern.edu.

Fine-tuning BACH2 dosage balances stemness and effector function to enhance antitumor T cell therapy

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Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

ABSTRACT: Adoptive T cell therapies are limited by poor persistence of transferred cells. Attempts to enhance persistence have focused on genetic induction of constitutively hyperactivated but potentially oncogenic T cell states. Physiological T cell responses are maintained by quiescent stem-like/memory cells dependent upon the transcription factor BACH2. Here we show that quantitative control of BACH2 dosage regulates differentiation along the continuum of stem and effector CD8_ T cell states, enabling engineering of synthetic states with persistent antitumor activity. While conventional high-level overexpression of BACH2 enforces quiescence and hinders tumor control, low-dose BACH2 expression promotes persistence without compromising effector function, enhancing anticancer efficacy. Mechanistically, low-dose BACH2 partially attenuates Jun occupancy at highly AP-1-dependent genes, restraining terminal differentiation while preserving effector programs. Similarly, dose optimization enables effective deployment of quiescence factor FOXO1. Thus, quantitative control of gene payloads yields qualitative effects on outcome with implications for quiescence factor deployment in cell therapy.

Author Info: (1) Department of Pathology, University of Cambridge, Cambridge, UK. agc53@cam.ac.uk. (2) Department of Pathology, University of Cambridge, Cambridge, UK. ace46@cam.ac.uk. (3) Depa

Author Info: (1) Department of Pathology, University of Cambridge, Cambridge, UK. agc53@cam.ac.uk. (2) Department of Pathology, University of Cambridge, Cambridge, UK. ace46@cam.ac.uk. (3) Department of Pathology, University of Cambridge, Cambridge, UK. (4) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia. (5) Department of Pathology, University of Cambridge, Cambridge, UK. (6) Department of Pathology, University of Cambridge, Cambridge, UK. (7) Department of Pathology, University of Cambridge, Cambridge, UK. (8) Department of Pathology, University of Cambridge, Cambridge, UK. (9) Department of Pathology, University of Cambridge, Cambridge, UK. (10) Department of Pathology, University of Cambridge, Cambridge, UK. (11) Department of Pathology, University of Cambridge, Cambridge, UK. (12) Department of Pathology, University of Cambridge, Cambridge, UK. (13) Department of Pathology, University of Cambridge, Cambridge, UK. (14) Department of Pathology, University of Cambridge, Cambridge, UK. (15) Department of Pathology, University of Cambridge, Cambridge, UK. (16) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. (17) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia. (18) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. (19) Department of Pathology, University of Cambridge, Cambridge, UK. Department of Oncology, University of Oxford, Oxford, UK. Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK. (20) Division of Cell Signalling and Immunology, School of Life Sciences, University of Dundee, Dundee, UK. (21) Department of Pathology, University of Cambridge, Cambridge, UK. (22) UniversitŽ de Lille, CNRS, Inserm, CHU Lille, UMR9020-U1277 CANTHER, Lille, France. (23) Department of Pathology, University of Cambridge, Cambridge, UK. (24) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia. (25) Department of Pathology, University of Cambridge, Cambridge, UK. rr257@cam.ac.uk.

BACH2 regulates T cell lineage state to enhance CAR T cell function

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Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

Three papers assessed the role of BACH2 as a way to fine-tune T cell differentiation to improve the efficacy of cellular therapies. Conti, Evans, von Linde, Deguit et al. found that controlling BACH2 dosage can help promote persistence of adoptive T cell transfer products through limiting terminal differentiation and preserving effector functions. Hu, Zhu, Luo, et al. detected an essential role for BACH2 expression during CAR-T manufacturing for the maintenance of long term stem-like CAR T cells. Chang et al. assessed BACH2 in tonic signaling of CAR-T, and found that modulating BACH2 expression could prevent CAR-T exhaustion while maintaining effector function.

ABSTRACT: Nearly all chimeric antigen receptors (CARs) signal in the absence of antigen, referred to as 'tonic signaling'. Tonic signaling of CARs containing 41BB domains enhances T cell fitness and function, in contrast to the exhaustion driven by CD28-containing CARs. Here we show that 41BB induces BACH2, a transcriptional regulator that directs stem and memory programs. Overexpression of BACH2 successfully prevented exhaustion but locked CAR T cells in a quiescent state. We linked BACH2 to a degradation domain to tune BACH2, enabling us to prevent exhaustion while enabling potent effector function that broadly enhanced the long-term efficacy of CAR T cells targeting liquid and solid tumors. Through interrogation of clinical CAR products, we further found an association between BACH2 activity and clinical outcomes in patients with leukemia. These data identify a central function for BACH2 in regulating CAR T cell efficacy.

Author Info: (1) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington Univ

Author Info: (1) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (2) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (3) Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. Department of Medicine, Washington University School of Medicine, St Louis, MO, USA. (4) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (5) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (6) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (7) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (8) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (9) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (10) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (11) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (12) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (13) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (14) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (15) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (16) Saint Louis University School of Medicine, St Louis, MO, USA. (17) Department of Genetics, Washington University School of Medicine, St Louis, MO, USA. (18) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (19) Department of Genetics, Washington University School of Medicine, St Louis, MO, USA. (20) Division of Oncology, Department of Pediatrics, The Children's Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, PA, USA. (21) Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA. (22) Department of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, TN, USA. Center for Infectious Diseases Research, St Jude Children's Research Hospital, Memphis, TN, USA. (23) Department of Host-Microbe Interactions, St Jude Children's Research Hospital, Memphis, TN, USA. Center for Infectious Diseases Research, St Jude Children's Research Hospital, Memphis, TN, USA. (24) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. (25) Department of Bone Marrow Transplantation and Cellular Therapy, St Jude Children's Research Hospital, Memphis, TN, USA. (26) Division of Oncology, Section of Cellular Therapies, Washington University School of Medicine, St Louis, MO, USA. nathan.singh@wustl.edu. Center for Genetic and Cellular Immunotherapy, Washington University School of Medicine, St Louis, MO, USA. nathan.singh@wustl.edu.

Pseudomonas aeruginosa induces tumor pyroptosis and immune activation to enhance checkpoint blockade in colorectal cancer Spotlight 

Hu et al. demonstrated that Pseudomonas aeruginosa (P.a) initiates caspase-3-dependent apoptosis in MC38 CRC cell lines. Pyroptosis – characterized by GSDME cleavage, intracellular ROS accumulation, and release of damage-associated molecular patterns, such as HMGB1 – is a form of immunogenic cell death that induces inflammatory cytokine secretion, PD-L1 upregulation on tumor cells, and functional maturation of dendritic cells in vitro. Intratumoral injection of P.a reprogrammed TMEs, increased CD8+ T cell infiltration, and led to synergistic tumor regression, without systemic toxicity when combined with anti-PD-L1 in an MC38 tumor model.

Contributed by Shishir Pant

Hu et al. demonstrated that Pseudomonas aeruginosa (P.a) initiates caspase-3-dependent apoptosis in MC38 CRC cell lines. Pyroptosis – characterized by GSDME cleavage, intracellular ROS accumulation, and release of damage-associated molecular patterns, such as HMGB1 – is a form of immunogenic cell death that induces inflammatory cytokine secretion, PD-L1 upregulation on tumor cells, and functional maturation of dendritic cells in vitro. Intratumoral injection of P.a reprogrammed TMEs, increased CD8+ T cell infiltration, and led to synergistic tumor regression, without systemic toxicity when combined with anti-PD-L1 in an MC38 tumor model.

Contributed by Shishir Pant

ABSTRACT: Colorectal cancer (CRC) exhibits limited responsiveness to immune checkpoint inhibitors (ICIs), largely due to its immunosuppressive tumor microenvironment (TME) and poor baseline immunogenicity. Here, we report that Pseudomonas aeruginosa (P. aeruginosa) triggers caspase-3-dependent pyroptosis in murine CRC MC38 cells, characterized by GSDME cleavage, intracellular reactive oxygen species (ROS) accumulation, and the release of damage-associated molecular patterns (DAMPs). This form of immunogenic cell death promotes robust inflammatory cytokine secretion, upregulation of PD-L1 on tumor cells, and functional maturation of bone marrow-derived dendritic cells (BMDCs) in vitro. In vivo, intratumoral injection of P. aeruginosa leads to significant reprogramming of the TME, including increased expression of proinflammatory genes, DC maturation, and enhanced infiltration of CD8(+) T lymphocytes. Notably, combination therapy with P. aeruginosa and an anti-PD-L1 antibody results in synergistic tumor regression, markedly outperforming either monotherapy, without inducing detectable systemic toxicity. Together, our findings reveal that P. aeruginosa-induced pyroptosis serves as a potent immunogenic stimulus that reshapes the CRC tumor microenvironment and overcomes resistance to immune checkpoint blockade. This strategy represents a promising approach to enhance immunotherapy efficacy in poorly immunogenic solid tumors.

Author Info: (1) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. (2) Department of Neurology, Xindu District People's Hospital of Chengdu, Chengdu, 610500,

Author Info: (1) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. (2) Department of Neurology, Xindu District People's Hospital of Chengdu, Chengdu, 610500, China. (3) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. (4) Department of Clinical Microbiology, School of Laboratory Medicine, Chengdu Medical College, Clinical IVD Joint Research Center of Chengdu Medical College-Maccura Biotechnology, Chengdu, 610500, China. Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, Chengdu Medical College, Chengdu, 610500, China. (5) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. (6) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. (7) Department of Clinical Microbiology, School of Laboratory Medicine, Chengdu Medical College, Clinical IVD Joint Research Center of Chengdu Medical College-Maccura Biotechnology, Chengdu, 610500, China. Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, Chengdu Medical College, Chengdu, 610500, China. (8) Department of Clinical Microbiology, School of Laboratory Medicine, Chengdu Medical College, Clinical IVD Joint Research Center of Chengdu Medical College-Maccura Biotechnology, Chengdu, 610500, China. Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, Chengdu Medical College, Chengdu, 610500, China. (9) Taishan Community Health Service Center, Jiangbei New District, Nanjing, 210032, China. (10) Department of Neurology, Xindu District People's Hospital of Chengdu, Chengdu, 610500, China. 501838695@qq.com. (11) Department of Clinical Microbiology, School of Laboratory Medicine, Chengdu Medical College, Clinical IVD Joint Research Center of Chengdu Medical College-Maccura Biotechnology, Chengdu, 610500, China. renke@cmc.edu.cn. Sichuan Provincial Engineering Laboratory for Prevention and Control Technology of Veterinary Drug Residue in Animal-Origin Food, Chengdu Medical College, Chengdu, 610500, China. renke@cmc.edu.cn. (12) The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210032, China. 2608236988@qq.com.

CAR-T triggers TAM reeducation and adaptive anti-tumor response via TREM2 deficiency or CD40 agonist Spotlight 

Liu, Gao, Xi, et al. showed that TREM2⁺ TAMs drive GPC3-CAR-T resistance in hepatocellular carcinoma. Trem2 deletion synergized with CAR-T therapy to enhance effector functionality (with reduced exhaustion in endogenous tumor-specific T cells), metabolically reprogram TAMs toward an antitumor CXCL9hi/SPP1lo phenotype, and achieve durable control in an HCC tumor model. The dual intervention enhanced oxidative metabolism and suppressed glycolysis via AMPK and STAT1 signaling and PI3K–AKT–mTOR inhibition. CD40 agonism phenocopied Trem2 loss, with sotigalimab promoting human CD8⁺ T cell migration and CAR-T responses.

Contributed by Shishir Pant

Liu, Gao, Xi, et al. showed that TREM2⁺ TAMs drive GPC3-CAR-T resistance in hepatocellular carcinoma. Trem2 deletion synergized with CAR-T therapy to enhance effector functionality (with reduced exhaustion in endogenous tumor-specific T cells), metabolically reprogram TAMs toward an antitumor CXCL9hi/SPP1lo phenotype, and achieve durable control in an HCC tumor model. The dual intervention enhanced oxidative metabolism and suppressed glycolysis via AMPK and STAT1 signaling and PI3K–AKT–mTOR inhibition. CD40 agonism phenocopied Trem2 loss, with sotigalimab promoting human CD8⁺ T cell migration and CAR-T responses.

Contributed by Shishir Pant

ABSTRACT: Chimeric antigen receptor (CAR)-T therapy targeting GPC3 shows unsatisfactory clinical efficacy in hepatocellular carcinoma (HCC). Combining clinical data and the immunocompetent orthotopic HCC model, we demonstrate that TREM2(+) tumor-associated macrophages (TAMs) are critical mediators of GPC3-CAR-T resistance. We find that Trem2 deficiency synergizes with GPC3-CAR-T to enhance tumor control by expanding endogenous tumor-specific CD8(+) T cells (not CAR-T amplification) and reeducating TAMs to an anti-tumor CXCL9(hi)/SPP1(lo) phenotype via metabolic reprogramming. Mechanistically, this combination enhances oxidative metabolism while suppressing glycolysis through JAK-STAT1 triggering, AMPK activation, and PI3K-AKT-mTOR inhibition. Crucially, Trem2 deficiency up-regulates CD40 expression, enabling CD40 agonism to phenocopy Trem2-deficiency effects via AMPK activation and STAT1-driven CXCL9 production. Notably, the clinical agonist sotigalimab similarly enhances human CD8(+) T cell migration in vitro. Our findings highlight the significance of combining GPC3-CAR-T therapy with CD40 agonist as a critical pre-requisite for eliciting reeducation of TAMs and enhancing the efficacy of CAR-T therapy in HCC.

Author Info: (1) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Prov

Author Info: (1) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China; State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (2) Department of Clinical Laboratory, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510600, China. (3) School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China; Department of Gastrointestinal Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510080, China. (4) The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China. (5) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (6) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (7) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (8) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (9) The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China. (10) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. (11) The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Clinical Laboratory/State Key Laboratory of Traditional Chinese Medicine Syndrome, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China; State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong 510120, China. Electronic address: huangxz020@163.com. (12) The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China. Electronic address: fwzhe@mail.sysu.edu.cn. (13) The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China. Electronic address: tanjzh@mail.sysu.edu.cn.

Armored macrophage-targeted CAR-T cells reset and reprogram the tumor microenvironment and control metastatic cancer growth Featured  

Mateus-Tique et al. developed a CAR-T targeting FOLR2-expressing immunosuppressive tumor-associated macrophages (TAMs) with an IL-12 payload for local delivery. While high doses were toxic in a murine ovarian cancer model, injection with a low dose without lymphodepletion was tolerated and led to remodeling of the TME, including depletion of immunosuppressive TAMs and an increase in immune-stimulatory macrophages, resulting in reduced tumor growth and improved survival. Treatment induced endogenous antitumor CD8+ T cell responses, and the therapeutic effect was partially dependent on FAS. Targeting TREM2 with the same CAR-T strategy in a lung cancer model had similar effects.

Mateus-Tique et al. developed a CAR-T targeting FOLR2-expressing immunosuppressive tumor-associated macrophages (TAMs) with an IL-12 payload for local delivery. While high doses were toxic in a murine ovarian cancer model, injection with a low dose without lymphodepletion was tolerated and led to remodeling of the TME, including depletion of immunosuppressive TAMs and an increase in immune-stimulatory macrophages, resulting in reduced tumor growth and improved survival. Treatment induced endogenous antitumor CD8+ T cell responses, and the therapeutic effect was partially dependent on FAS. Targeting TREM2 with the same CAR-T strategy in a lung cancer model had similar effects.

ABSTRACT: Tumor-associated macrophages (TAMs), which commonly express FOLR2 or TREM2, are enriched in solid tumors and keep the tumor microenvironment (TME) immunosuppressed. Here, we introduce IL-12-expressing CAR-T cells targeting FOLR2 or TREM2 to deplete pro-tumor TAMs and reprogram the TME. Treatment with IL-12-armored anti-TAM CAR-T leads to significantly improved survival in metastatic ovarian and lung cancer models. The CAR-T mediates benefit at low cell dose and without lymphodepletion, and remains largely restricted to tumors with no overt toxicity. Spatial transcriptomics reveals that IL-12 anti-TAM CAR-T mediates sustained remodeling of the TME, even after CAR-T contraction, with the expansion of CXCL9+ immunostimulatory macrophages and endogenous tumor-specific cytotoxic T cells. Tumor clearance depends, in part, on FAS expression on cancer cells, revealing an IL-12-FAS axis for IL-12-armored CAR-T activity. These findings position IL-12-producing, myeloid-directed CAR-T as a broad strategy to remodel the TME and drive anti-tumor immunity for solid cancers.

Author Info: (1) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Author Info: (1) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (2) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (3) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (4) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (5) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (6) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (7) Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (8) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (9) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (10) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (11) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (12) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (13) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (14) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (15) Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (16) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (17) Department of Pathology and Immunology, Washington University, St Louis, MO, USA. (18) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (19) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (20) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: miriam.merad@mssm.edu. (21) Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: brian.brown@mssm.edu.

IGSF11-VISTA is a critical and targetable immune checkpoint axis in diffuse midline glioma Spotlight 

Using a multiomics approach on human and murine diffuse midline glioma samples, Collot, Ruiz-Moreno, Honhoff, et al. identified an MES pattern with mesenchymal tumor cells and blood-derived immune cells, and an AOO-pattern enriched with astrocyte, oligodendrocyte, and oligodendrocyte precursor-like cancer cell populations, alongside homeostatic-like microglia. Cancer cells in AOO niches expressed high levels of IGSF11 that signaled through VISTA on microglia. Targeting IGSF11–VISTA resulted in microglia-dependent, T cell-independent tumor reduction and survival benefit.

Contributed by Shishir Pant

Using a multiomics approach on human and murine diffuse midline glioma samples, Collot, Ruiz-Moreno, Honhoff, et al. identified an MES pattern with mesenchymal tumor cells and blood-derived immune cells, and an AOO-pattern enriched with astrocyte, oligodendrocyte, and oligodendrocyte precursor-like cancer cell populations, alongside homeostatic-like microglia. Cancer cells in AOO niches expressed high levels of IGSF11 that signaled through VISTA on microglia. Targeting IGSF11–VISTA resulted in microglia-dependent, T cell-independent tumor reduction and survival benefit.

Contributed by Shishir Pant

ABSTRACT: Diffuse midline glioma (DMG) is an aggressive pediatric brain tumor with no curative treatment, and lacks a comprehensive understanding of immune-tumor cell interactions within their spatial context. Our multi-omics approach, integrating single-nuclei RNA sequencing, spatial transcriptomics, and high-dimensional imaging, utilizes patient samples and an experimental murine DMG model to unveil two spatially distinct regions. MES-patterns are defined by mesenchymal (MES) tumor cells and blood-derived immune cells, whereas AOO-patterns are enriched with astrocyte (AC)-, oligodendrocyte (OC)-, and oligodendrocyte precursor cell (OPC)-like cancer populations, alongside homeostatic-like microglia. The less-studied immune checkpoint, IGSF11, is primarily expressed by AOO-associated cancer cells, while its receptor VISTA is detected mainly in homeostatic microglia. Targeting IGSF11-VISTA results in tumor reduction and survival benefit, mediated by brain-resident microglia and independent of T cell infiltration. This positions IGSF11-VISTA as a promising immune checkpoint treatment axis to harness the local brain immune response against DMG.

Author Info: (1) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (2) Princess M‡xima Center for Pediatric Oncology, Utrecht,

Author Info: (1) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (2) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Molecular Biology, Faculty of Science, Radboud University, Nijmegen, the Netherlands. (3) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (4) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (5) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (6) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (7) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (8) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (9) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (10) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (11) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (12) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (13) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (14) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (15) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (16) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (17) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (18) Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands. (19) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; University Medical Center Utrecht, Utrecht, the Netherlands; Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany; Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Research Consortium (DKTK), Heidelberg, Germany. (20) Department of Bioengineering, Stanford University Schools of Engineering and Medicine, Stanford, CA, USA. (21) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (22) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (23) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands. (24) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (25) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands. (26) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Molecular Biology, Faculty of Science, Radboud University, Nijmegen, the Netherlands. (27) Princess M‡xima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands; Department of Biology, Faculty of Science, Utrecht University, Utrecht, the Netherlands. Electronic address: a.c.rios@prinsesmaximacentrum.nl.

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