Journal Articles

A radiopharmaceutical enhances CAR T cells against radio-sensitive and radio-resistant neuroblastoma by tumor sensitization and TME remodeling Spotlight 

Rodriguez and Edinger et al. showed that pre-treatment with VLA-4-targeted, low-dose radiopharmaceutical therapy (RPT) using [67Cu] Cu-LLP2A enhanced GD2 or B7-H3 CAR T cell efficacy, resulting in significant tumor regression in xenogeneic, preclinical neuroblastoma models. The mechanism of action varied with tumor radiosensitivity. In radiosensitive tumors, RPT was directly tumoricidal and enhanced CAR T cell efficacy via TNF-α, leading to paracrine T cell activation. In radioresistant tumors, RPT remodeled the TIME by decreasing the number of M2-like TAMs and stimulating the formation of enriched cytotoxic CD4+ and CD8+ T cell clusters.

Contributed by Katherine Turner

Rodriguez and Edinger et al. showed that pre-treatment with VLA-4-targeted, low-dose radiopharmaceutical therapy (RPT) using [67Cu] Cu-LLP2A enhanced GD2 or B7-H3 CAR T cell efficacy, resulting in significant tumor regression in xenogeneic, preclinical neuroblastoma models. The mechanism of action varied with tumor radiosensitivity. In radiosensitive tumors, RPT was directly tumoricidal and enhanced CAR T cell efficacy via TNF-α, leading to paracrine T cell activation. In radioresistant tumors, RPT remodeled the TIME by decreasing the number of M2-like TAMs and stimulating the formation of enriched cytotoxic CD4+ and CD8+ T cell clusters.

Contributed by Katherine Turner

ABSTRACT: Chimeric antigen receptor (CAR) T cell therapy has limited efficacy against solid tumors such as neuroblastoma (NB). Key obstacles include extensive tumor burden and the presence of an immunosuppressive tumor microenvironment (TME). We employ targeted radiopharmaceutical therapy (RPT) using [(67)Cu]Cu-LLP2A and show that it potentiated the anti-tumor activity of CAR T cells in radio-sensitive and radio-resistant NB models via distinct mechanisms. In radio-sensitive NB, RPT is directly tumoricidal while also enhancing CAR T cell efficacy through pro-immune pathways, most notably via the TNF-_ pathway, leading to paracrine activation of T cells. In radio-resistant NB, RPT improves CAR T cells by remodeling the myeloid compartment in the TME and increasing the formation of immunological niches of cytotoxic CD8(+) GZMB(+) and CD4(+) GZMB(+) CAR T cells. While neither treatment modality alone can effectively treat NB, the combination of VLA-4-targeted RPT and GD2 or B7-H3 CAR T cells augments anti-tumor efficacy, resulting in marked tumor regression in preclinical NB models.

Author Info: (1) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (2) Department of Radiation Oncology, Univer

Author Info: (1) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (2) Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA. (3) Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA; Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. (4) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (5) Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (6) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (7) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (8) Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (9) Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (10) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (11) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (12) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (13) Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA. (14) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (15) Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. (16) Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. (17) Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. (18) Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (19) Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (20) Rutgers Cancer Institute, New Brunswick, NJ, USA; Department of Pediatrics, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA. (21) Departments of Chemistry and Radiology, University of Missouri, Columbia, MO, USA. (22) Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: freddy.escorcia@gmail.com. (23) Department of Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA; Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Department of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: patelr20@upmc.edu. (24) Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: hongharosa.nguyen@nih.gov.

Tumor suppressor genotype influences the extent and mode of immunosurveillance in lung cancer Spotlight 

Using genetically engineered conditional mouse models and lentiviral-mediated somatic gene inactivation, Adler and Xu et al. developed models that allowed them to quantify immunoediting by evaluating fixed neoantigen expression against genotypic tumor backgrounds defined by common driver mutations and different tumor suppressor genes. While genetic features promoting tumor proliferation generally correlated with increased sensitivity to immunosurveillance, different genotypes differentially affected immune cell recruitment, selection of tumor cells with neoantigen silencing, tumor growth, and mechanisms of immune evasion.

Contributed by Lauren Hitchings

Using genetically engineered conditional mouse models and lentiviral-mediated somatic gene inactivation, Adler and Xu et al. developed models that allowed them to quantify immunoediting by evaluating fixed neoantigen expression against genotypic tumor backgrounds defined by common driver mutations and different tumor suppressor genes. While genetic features promoting tumor proliferation generally correlated with increased sensitivity to immunosurveillance, different genotypes differentially affected immune cell recruitment, selection of tumor cells with neoantigen silencing, tumor growth, and mechanisms of immune evasion.

Contributed by Lauren Hitchings

ABSTRACT: The impact of cancer driving mutations on immunosurveillance throughout tumor development remains poorly understood. To better understand the contribution of tumor genotype to immunosurveillance, we generated and validated lentiviral-based vectors that create increasingly immunogenic neoantigens. This vector system is compatible with autochthonous Cre-regulated cancer models, CRISPR/Cas9-mediated somatic genome editing, and tumor barcoding. Here, we show that in the context of oncogenic KRAS-driven lung cancer and strong neoantigen expression, tumor suppressor genotype dictates the degree of immune cell recruitment, positive selection of tumors with neoantigen silencing, and tumor outgrowth. By quantifying the impact of 11 commonly inactivated tumor suppressor genes on tumor growth across neoantigenic contexts, we show that the growth-promoting effects of tumor suppressor gene inactivation correlate with increasing sensitivity to immunosurveillance. Importantly, some genotypes also dramatically changed sensitivity to immunosurveillance independently of their growth-promoting effects. We propose a model of immunoediting in which tumor suppressor gene inactivation works in tandem with neoantigen expression to shape tumor immunosurveillance and immunoediting such that the same neoantigens uniquely modulate tumor immunoediting depending on the genetic context.

Author Info: (1) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medi

Author Info: (1) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. (2) Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. Department of Biology, Stanford University School of Medicine, Stanford, CA, USA. (3) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. (4) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. (5) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. (6) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. (7) Department of Biology, Stanford University School of Medicine, Stanford, CA, USA. (8) Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. mwinslow@stanford.edu. Department of Biology, Stanford University School of Medicine, Stanford, CA, USA. mwinslow@stanford.edu. Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. mwinslow@stanford.edu. (9) Department of Cancer Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. dfeldser@upenn.edu. Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. dfeldser@upenn.edu. Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. dfeldser@upenn.edu.

An ICAM1-targeting chimeric costimulatory receptor mimics the immune synapse and enhances tumor-specific T cell function Spotlight 

Min et al. developed an ICAM1-specific 4-1BB fusion protein. Engagement of this chimeric costimulatory receptor (ICCR) enhanced tumor cell conjugation and force-dependent immune synapse stability, triggered NF-κB-signaling, and amplified TCR-driven functional activation of engineered T cells, particularly against targets with lower antigen density. In a patient-derived orthotropic xenograft model of aggressive, incurable thyroid cancer, autologous ICCR+ T cells showed selective expansion and prolongation of survival. ICCR+ T cells exhibited reduced TCR diversity, and upregulation of cytotoxicity, TCR signaling, costimulation, and exhaustion genes.

Contributed by Ute Burkhardt

Min et al. developed an ICAM1-specific 4-1BB fusion protein. Engagement of this chimeric costimulatory receptor (ICCR) enhanced tumor cell conjugation and force-dependent immune synapse stability, triggered NF-κB-signaling, and amplified TCR-driven functional activation of engineered T cells, particularly against targets with lower antigen density. In a patient-derived orthotropic xenograft model of aggressive, incurable thyroid cancer, autologous ICCR+ T cells showed selective expansion and prolongation of survival. ICCR+ T cells exhibited reduced TCR diversity, and upregulation of cytotoxicity, TCR signaling, costimulation, and exhaustion genes.

Contributed by Ute Burkhardt

ABSTRACT: Engineered T cell therapies, such as chimeric antigen receptor (CAR) and T cell receptor (TCR)-based approaches, have transformed outcomes in hematological malignancies, yet their efficacy in solid tumors remains limited by tumor antigen escape, immunosuppressive microenvironments, and insufficient activation of CAR or TCR signaling. To overcome these barriers, we developed an intercellular adhesion molecule 1 (ICAM1)-specific chimeric costimulatory receptor (ICCR) engineered for expression in T cells to augment their activation. ICAM1 is broadly expressed across solid tumors and is further upregulated by IFN_ released during early T cell engagement, creating a feed-forward loop that reinforces tumor recognition. ICCR engagement with ICAM1 triggered NF_B signaling independently of TCR-p/MHC engagement; however, full T cell activation and cytotoxic function remained dependent on intact TCR signaling. In primary T cells, ICCR increased proliferation, cytokine production, and cytotoxicity, resulting in improved tumor control in two anaplastic thyroid cancer xenograft models treated with allogeneic or autologous ICCR-T cells. Mechanistically, ICCR strengthened tumor cell engagement, promoted selection and expansion of tumor-specific TCR clonotypes, and amplified downstream signaling pathways. These findings identify ICCR as a strategy that leverages an immune synapse-mimetic mechanism to enhance the function of low-activity tumor-specific TCRs and improve T cell responses in solid tumor microenvironments.

Author Info: (1) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (2) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (3) Weill Corn

Author Info: (1) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (2) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (3) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (4) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (5) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (6) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (7) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (8) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (9) AffyImmune Therapeutics, Inc. Natick, MA United States. (10) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (11) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (12) Houston Methodist Research Institute Houston, TX United States. (13) Weill Cornell Medicine New York, New York United States. ROR: https://ror.org/02r109517 (14) Weill Cornell Medicine New York, New York United States. ROR: https://ror.org/02r109517 (15) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171 (16) New York Presbyterian Hospital - Weill Cornell Medical College New York, NY United States. (17) Weill Cornell New York, NY United States. (18) Houston Methodist Houston, TX United States. ROR: https://ror.org/027zt9171

Cuproptosis-immunity crosstalk informs strategy to overcome immunotherapy resistance Spotlight 

Lei, Lu, and Xu et al. showed that cuproptosis induced immunogenic cell death, releasing DAMPs that drove DC maturation, DC-dependent cross-priming, and M1-like TAM and effector CD8+ T cell remodeling, with enhanced tumor suppression in immunocompetent hosts. CD8+ T cell-derived IFNγ activated STAT1–IRF1 signaling to upregulate mitochondrial FDX1 in tumor cells, increasing protein lipoylation and sensitization to cuproptosis. In breast, lung, and pancreatic tumor models, combining cuproptosis inducers with anti-PD-L1 amplified tumoral cuproptosis, increased intratumoral CD8+ T cell functions, and overcame intrinsic and acquired ICB resistance.

Contributed by Shishir Pant

Lei, Lu, and Xu et al. showed that cuproptosis induced immunogenic cell death, releasing DAMPs that drove DC maturation, DC-dependent cross-priming, and M1-like TAM and effector CD8+ T cell remodeling, with enhanced tumor suppression in immunocompetent hosts. CD8+ T cell-derived IFNγ activated STAT1–IRF1 signaling to upregulate mitochondrial FDX1 in tumor cells, increasing protein lipoylation and sensitization to cuproptosis. In breast, lung, and pancreatic tumor models, combining cuproptosis inducers with anti-PD-L1 amplified tumoral cuproptosis, increased intratumoral CD8+ T cell functions, and overcame intrinsic and acquired ICB resistance.

Contributed by Shishir Pant

ABSTRACT: Cuproptosis is a recently identified form of copper-dependent cell death that depends on ferredoxin 1 (FDX1)-mediated protein lipoylation. Here, we reveal that CD8(+) T cell-mediated antitumor immunity enhances tumor cell susceptibility to cuproptosis, leading to a more potent tumor-suppressive effect of cuproptosis inducers in immunocompetent hosts compared with immunodeficient ones. Mechanistically, cuproptotic tumor cells act as a form of immunogenic cell death, releasing damage-associated molecular patterns that activate dendritic cells and enhance antitumor immunity. Reciprocally, CD8(+) T cell-derived interferon (IFN)-_ enhances FDX1 transcription in tumor cells by activating the signal transducer and activator of transcription 1 (STAT1)-IFN regulatory factor-1 (IRF1) signaling axis, resulting in heightened tumor cell sensitivity to cuproptosis. Consequently, combining a cuproptosis inducer with anti-programmed cell death ligand 1 (PD-L1) therapy amplifies tumoral cuproptosis and demonstrates efficacy in overcoming PD-L1 therapy resistance across multiple preclinical models. Our findings unveil a previously unrecognized connection between antitumor immunity and cuproptosis and highlight a potential therapeutic approach to counteract tumor immunotherapy resistance by targeting this unique cell death pathway.

Author Info: (1) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: guanglei_csu@163.com. (2) Departme

Author Info: (1) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: guanglei_csu@163.com. (2) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (3) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (4) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (5) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (6) Department of Molecular and Cellular Oncology, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (7) Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (8) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (9) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (10) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (11) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (12) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (13) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (14) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (15) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (16) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (17) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (18) Department of Biostatistics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (19) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (20) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (21) Department of Molecular and Cellular Oncology, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (22) Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (23) Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (24) Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (25) Department of Biostatistics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (26) Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (27) Department of Thoracic and Cardiovascular Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (28) Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (29) Department of Molecular and Cellular Oncology, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (30) Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (31) Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA. (32) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (33) Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (34) Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA. (35) Department of Biostatistics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (36) Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA. Electronic address: bgan@mdanderson.org.

The critical role of the endogenous immune compartment after CAR T cell therapy in recurrent GBM Spotlight 

Freeburg and Chafamo et al. performed longitudinal single-cell profiling of CSF and tumors from 18 patients with recurrent GBM treated with a single intracerebroventricular dose of bivalent EGFR-IL13Rα2 CAR T cells. CAR T cells peaked at 7 days and showed increased cytotoxicity and exhaustion in CSF. Endogenous cytotoxic NK cells, Tregs, and “scavenger” myeloid cells also increased dose-dependently. Responses correlated with increased CD56dimCD16+ NK cells, while Treg expansion and a high baseline number of immunosuppressive myeloid cells correlated with non-response, emphasizing the endogenous immune system’s role in CAR T cell efficacy.

Contributed by Katherine Turner

Freeburg and Chafamo et al. performed longitudinal single-cell profiling of CSF and tumors from 18 patients with recurrent GBM treated with a single intracerebroventricular dose of bivalent EGFR-IL13Rα2 CAR T cells. CAR T cells peaked at 7 days and showed increased cytotoxicity and exhaustion in CSF. Endogenous cytotoxic NK cells, Tregs, and “scavenger” myeloid cells also increased dose-dependently. Responses correlated with increased CD56dimCD16+ NK cells, while Treg expansion and a high baseline number of immunosuppressive myeloid cells correlated with non-response, emphasizing the endogenous immune system’s role in CAR T cell efficacy.

Contributed by Katherine Turner

ABSTRACT: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with a median survival of under 15 months and no effective treatment after recurrence. A recent phase 1 trial of intracerebroventricular bivalent chimeric antigen receptor (CAR) T cells in recurrent GBM, registered at ClinicalTrials.gov (NCT05168423), showed promising responses, including tumor reduction and prolonged survival. However, relapse remains common. We performed in-depth profiling of longitudinal cerebrospinal fluid (CSF) and tumor samples from responders and non-responders to characterize immune dynamics following infusion. Our study reveals that, although CAR T cells activate post infusion across all patients, outcomes were defined by divergent remodeling of the endogenous immune landscape. Cytotoxic natural killer cell expansion characterized responders, whereas regulatory T cell expansion and abundant baseline immunosuppressive scavenger myeloid cells characterized non-responders. These findings indicate that host immune cells play a critical role in CAR T cell therapy for GBM, suggesting that combinatorial strategies modulating the endogenous immune compartment could improve next-generation treatments.

Author Info: (1) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (2) Cancer Biology Department, Perelman School of Medicin

Author Info: (1) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (2) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (3) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (4) Department of Pathology, Case Western Reserve University School of Medicine and Case Comprehensive Cancer Center, Cleveland, OH, USA. (5) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (6) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (7) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Cell and Molecular Biology Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (8) Department of Pathology, Case Western Reserve University School of Medicine and Case Comprehensive Cancer Center, Cleveland, OH, USA. (9) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (10) Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (11) Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (12) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (13) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (14) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (15) Neuroscience Graduate Group, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (16) Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, USA. (17) UniversitŽ Paris CitŽ, INSERM, PARCC, Paris, France; Department of Immunology, APHP, H™pital EuropŽen Georges Pompidou (HEGP)-H™pital Necker, Paris, France. (18) Centre de Recherche des Cordeliers, Sorbonne UniversitŽ, INSERM, UniversitŽ Paris CitŽ, 75006 Paris, France. (19) CellAction, Center for Cancer Immunotherapy, INSERM U932, Institut Curie, Saint-Cloud, France. (20) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (21) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (22) Clinical Immunology Laboratory, Institut Curie, Paris, France. (23) Institut Curie, PSL University, INSERM U932, Immunity and Cancer, 75005 Paris, France. (24) Department of Translational Research, PSL University, Institut Curie, Paris, France; INSERM U1330, PSL University, Institut Curie Research Center, Paris, France. (25) CellAction, Center for Cancer Immunotherapy, INSERM U932, Institut Curie, Saint-Cloud, France. (26) CellAction, Center for Cancer Immunotherapy, INSERM U932, Institut Curie, Saint-Cloud, France; Clinical Hematology Unit, Institut Curie, Saint-Cloud, France. (27) Departments of Dermatology and Pathology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (28) Department of Dermatology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. (29) Kite, a Gilead Company, Santa Monica, CA, USA. (30) Comparative Pathology Core, Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA. (31) Comparative Pathology Core, Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA. (32) Comparative Pathology Core, Department of Pathobiology, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA. (33) Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Division of Hematology and Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (34) Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Division of Hematology and Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (35) Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Division of Hematology and Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (36) Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA. (37) Centre de Recherche des Cordeliers, Sorbonne UniversitŽ, INSERM, UniversitŽ Paris CitŽ, 75006 Paris, France; ƒquipe labellisŽe Ligue Contre le Cancer, Centre de Recherche des Cordeliers, 15 rue de l'Žcole de mŽdecine, 75006 Paris, France. (38) Centre de Recherche des Cordeliers, Sorbonne UniversitŽ, INSERM, UniversitŽ Paris CitŽ, 75006 Paris, France; ƒquipe labellisŽe Ligue Contre le Cancer, Centre de Recherche des Cordeliers, 15 rue de l'Žcole de mŽdecine, 75006 Paris, France. (39) UniversitŽ Paris CitŽ, INSERM, PARCC, Paris, France; Department of Immunology, APHP, H™pital EuropŽen Georges Pompidou (HEGP)-H™pital Necker, Paris, France. (40) Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Institute for Immunology and Immune Health, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (41) Institut Curie, PSL University, INSERM U932, Immunity and Cancer, 75005 Paris, France. (42) Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Microbiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Philadelphia, PA, USA. (43) GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (44) Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (45) Department of Pathology, Case Western Reserve University School of Medicine and Case Comprehensive Cancer Center, Cleveland, OH, USA; Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA. (46) GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Division of Hematology and Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. (47) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Parker Institute for Cancer Immunotherapy, University of Pennsylvania, Philadelphia, PA, USA. (48) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; GBM Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: binderz@pennmedicine.upenn.edu. (49) Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; UniversitŽ Paris CitŽ, INSERM, PARCC, Paris, France; Clinical Laboratory, H™pital Foch, Suresnes, France. Electronic address: c.alanio@hopital-foch.com. (50) Cancer Biology Department, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: dana.silverbush@pennmedicine.upenn.edu.

FAP-CD40 and PD1-IL2v combination therapy reprograms immunologically cold tumors through de novo intratumoral T cell-dendritic cell clusters Spotlight 

In a KPC tumor model, Nguyen et al. combined a FAP-targeted CD40 agonist (FAP-CD40; localizes CD40 stimulation to the TME) and PD1–IL-2v (targets a mutated IL-2 to PD-1+ T cells and not Tregs). FAP-CD40 alone activated TME cDC1s, which migrated to tdLNs. Combination therapy expanded TME T cells and increased CD4+/CD8+/cDC1 clustering and therapeutic efficacy (dependent on both CD4+ and CD8+ T cells) compared to monotherapies. FTY720 blockade of LN egress did not preclude clustering or efficacy, suggesting activation of TME T cells. Combination therapy boosted TME T cell Th1 gene expression, TNFα/IFNγ production, and Nur77 promoter activity.

Contributed by Alex Najibi

In a KPC tumor model, Nguyen et al. combined a FAP-targeted CD40 agonist (FAP-CD40; localizes CD40 stimulation to the TME) and PD1–IL-2v (targets a mutated IL-2 to PD-1+ T cells and not Tregs). FAP-CD40 alone activated TME cDC1s, which migrated to tdLNs. Combination therapy expanded TME T cells and increased CD4+/CD8+/cDC1 clustering and therapeutic efficacy (dependent on both CD4+ and CD8+ T cells) compared to monotherapies. FTY720 blockade of LN egress did not preclude clustering or efficacy, suggesting activation of TME T cells. Combination therapy boosted TME T cell Th1 gene expression, TNFα/IFNγ production, and Nur77 promoter activity.

Contributed by Alex Najibi

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains a major challenge for immunotherapy due to its immunologically cold tumor nature, characterized by poor T cell infiltration and a highly suppressive tumor microenvironment. Here, we propose a novel strategy, combining fibroblast activation protein (FAP)-CD40 to activate dendritic cells (DCs) in the tumor microenvironment and programmed cell death protein-1 (PD1)-interleukin 2v (IL2v) to promote the expansion and differentiation of tumor-infiltrating T cells. We hypothesize that this combination will synergistically enhance both T cell priming and expansion directly within pancreatic 4662 KPC tumors, which recapitulate the immunologically cold features of human PDAC. METHODS: Immune cell distribution and abundance following FAP-CD40/PD1-IL2v monotherapy or combination therapy were analyzed using multiplexed confocal imaging (3D immune phenotyping). FTY720 studies assessed the contribution of lymph node priming in treatment efficacy, while CD4+/CD8+ T cell depletion experiments identified the roles of these subsets in combination therapy. T cell functionality was further assessed through ex vivo restimulation assays and single-cell RNA sequencing. RESULTS: Combination therapy induced dense intratumoral clusters of CD4(+) and CD8(+) T cells, colocalized with type 1 conventional DCs, termed as T cell-DC clusters (TDCs). These TDCs were strongly associated with tumor regression, which required both CD4(+) and CD8(+) T cells. Furthermore, T cells from combination-treated tumors showed enhanced functionality, with increased tumor necrosis factor-alpha and interferon-gamma production compared with monotherapy groups. Single-cell RNA sequencing revealed polarization of CD4(+) T cells toward a T helper cell 1 phenotype in combination-treated tumors. CONCLUSION: The combination of FAP-CD40 and PD1-IL2v offers a promising strategy for treating poorly infiltrated, cold tumors. By driving T cell infiltration, promoting de novo TDC formation and orchestrating local antitumor immunity, this strategy provides a foundation for future therapies targeting immunotherapy-resistant tumors.

Author Info: (1) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (2) Roche Pharma Research and Early Development, Roche Innovation Center Ba

Author Info: (1) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (2) Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland. (3) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (4) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (5) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (6) Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland. (7) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (8) Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland. (9) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (10) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (11) Institute of Experimental Immunology, UniversitŠt ZŸrich, ZŸrich, Switzerland. Department of Immunology, Heidelberg University Medical Faculty Mannheim, Mannheim, Germany. (12) Roche Pharma Research and Early Development, Roche Innovation Center Zurich, Schlieren, Switzerland. (13) Roche Pharma Research and Early Development, Roche Innovation Center Basel, Basel, Switzerland leo.kunz@roche.com.

Pembrolizumab plus high-dose IL-2 in advanced clear cell renal cell carcinoma: six-year survival outcomes and molecular signatures from a phase 2 trial Spotlight 

In a phase 2 clinical trial of a short-course regimen (median 7 months) of pembrolizumab (anti-PD-1) plus high-dose IL-2 in patients with advanced ccRCC, Johnson et al. reported that at a median follow-up of over 6 years, the ORR was 73%, with 42% CRs and a 92% DCR. Median OS was over 84 months, and median PFS was 19.3 months. Patients were able to remain off treatment for a median of 23.8 months, with 42% of patients off treatment at 5 years. Potential biomarkers for durable clinical benefit included elevated CD16+ NK cells, enhanced innate immunity, reduced PD-1+ T cells, and patterns of IL-2-induced immune remodeling.

Contributed by Lauren Hitchings

In a phase 2 clinical trial of a short-course regimen (median 7 months) of pembrolizumab (anti-PD-1) plus high-dose IL-2 in patients with advanced ccRCC, Johnson et al. reported that at a median follow-up of over 6 years, the ORR was 73%, with 42% CRs and a 92% DCR. Median OS was over 84 months, and median PFS was 19.3 months. Patients were able to remain off treatment for a median of 23.8 months, with 42% of patients off treatment at 5 years. Potential biomarkers for durable clinical benefit included elevated CD16+ NK cells, enhanced innate immunity, reduced PD-1+ T cells, and patterns of IL-2-induced immune remodeling.

Contributed by Lauren Hitchings

ABSTRACT: Prolonged or indefinite systemic therapy remains standard for advanced clear cell renal cell carcinoma (ccRCC), often resulting in cumulative toxicities and treatment burden. We conducted a single-arm phase 2 trial (ClinicalTrials.gov identifier: NCT02964078) of a fixed-duration regimen of anti-PD1 pembrolizumab plus high-dose interleukin-2 in treatment-naive advanced ccRCC. Primary objectives of safety and response were previously reported. The study met its primary endpoint with an overall response rate exceeding the pre-specified threshold of 45%. Here we report long-term follow-up (median follow-up of 76.4 months) including overall response, progression-free survival, treatment-free interval, and correlative analysis. Among 26 patients treated, the objective response rate was 73%, with complete responses in 42% of patients. Median overall survival was >84 months with a 5-year restricted mean survival time of 48.6 months. Median progression-free survival was 19.3 months, and median treatment-free interval was 23.8 months. 42% of patients remained treatment-free at the 5-year timepoint. No grade 5 adverse events occurred, and no patients with durable disease control experienced persistent grade ≥2 toxicities. Correlative analyses identified exploratory immune patterns associated with durable benefit, including enrichment of CD16⁺ natural killer cells, suppression of PD-1⁺ T-cell frequencies, and coordinated chemokine, complement, and PKC/TGF-β pathway activation.

Author Info: (1) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (2) USF Health Morsani College of Medicine, Tampa, FL, USA. (3) Department of Genitourinary

Author Info: (1) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (2) USF Health Morsani College of Medicine, Tampa, FL, USA. (3) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (4) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (5) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (6) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (7) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (8) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (9) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (10) Department of Genitourinary Oncology, Weill Cornell Medicine, New York, NY, USA. (11) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (12) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (13) Department of Anatomic Pathology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (14) Immune Monitoring Core, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (15) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (16) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (17) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (18) Department of Pharmacy, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (19) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (20) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (21) Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (22) Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, Tampa, FL, USA. (23) USF Health Morsani College of Medicine, Tampa, FL, USA. Tampa General Hospital Cancer Institute, Tampa, FL, USA. (24) Department of Genitourinary Oncology, Orlando Health Cancer Institute, Orlando, FL, USA. Jad.Chahoud@orlandohealth.com.

Reprogramming CAR with cytokine signaling increases the efficacy of CAR-T cell therapy in solid tumour treatment and confers sustained immune memory Spotlight 

To improve CAR T cell efficacy for solid tumors, Sun and Liu et al. designed a series of CARs that enabled antigen-dependent “cytokine” co-activation, while preserving second-generation CAR structure. Incorporating compact IL-2/IL-15 receptor (IL2RB)-derived STAT5 docking motifs (Y392 and Y510) within the CD3ζITAM2/3 regions resulted in antigen-specific co-activation upon CAR engagement. The best candidate S71 CAR exhibited superior efficacy and dose-dependent memory in multiple xenograft tumor models (EDB-fibronectin, CD19, and CLDN), improved mitochondrial function, and supported durable and persistent T cell activity, with less exhaustion.

Contributed by Katherine Turner

To improve CAR T cell efficacy for solid tumors, Sun and Liu et al. designed a series of CARs that enabled antigen-dependent “cytokine” co-activation, while preserving second-generation CAR structure. Incorporating compact IL-2/IL-15 receptor (IL2RB)-derived STAT5 docking motifs (Y392 and Y510) within the CD3ζITAM2/3 regions resulted in antigen-specific co-activation upon CAR engagement. The best candidate S71 CAR exhibited superior efficacy and dose-dependent memory in multiple xenograft tumor models (EDB-fibronectin, CD19, and CLDN), improved mitochondrial function, and supported durable and persistent T cell activity, with less exhaustion.

Contributed by Katherine Turner

ABSTRACT: Chimeric antigen receptor (CAR) T-cell therapy has shown remarkable efficacy in hematologic malignancies but remains limited in solid tumors because of the immunosuppressive microenvironment, tumor heterogeneity, poor immune-cell infiltration, and progressive T-cell dysfunction. Because cytokine costimulation is critical for maintaining T-cell fitness, we developed a modular engineering strategy, distinct from previous approaches based on direct insertion of large cytokine receptor fragments, in which the intracellular CAR signaling domain was reconstructed to incorporate compact IL-2/IL-15 receptor-derived activation motifs, thereby enabling antigen-dependent coactivation while preserving the overall architecture of the parental CAR. Through systematic screening, we identified S71 as the optimal construct, with significantly greater antitumor activity than other mutants across multiple solid and hematologic tumor targets. Mechanistically, S71 rewired CAR signaling and reprogrammed tumor-induced metabolic responses through a self-sustaining mechanism, improving mitochondrial function and supporting durable T-cell activity. Functionally, S71 promoted enhanced persistence and robust immune memory responses against solid tumors. These findings demonstrate that modular integration of cytokine signaling motifs into CAR intracellular domains can improve CAR T-cell fitness and antitumor efficacy, and they establish S71 as a promising strategy for overcoming barriers to CAR T-cell therapy in solid tumors.

Author Info: (1) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (2) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (3) China Pharma

Author Info: (1) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (2) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (3) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (4) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (5) China Pharmaceutical University China. ROR: https://ror.org/01sfm2718 (6) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (7) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (8) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (9) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (10) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (11) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (12) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718 (13) China Pharmaceutical University Nanjing China. ROR: https://ror.org/01sfm2718

Immune-remodeling mRNAs expressing IRF8 or NIK generate durable antitumor immunity in multiple cancer models Spotlight 

In mice, i.t. or i.v. delivery of CKK-E12-LNPs loaded with immune-remodeling mRNAs (IR-mRNAs) encoding NF-κB-inducing kinase (NIK) or IFN regulatory factor 8 (IRF8) induced (1) APC activation and maturation into cDC1s, (2) a release of immunostimulatory cytokines, (3) accumulation of NKT and γδT cells in tumors, and (4) priming of antitumor CD8+ T cells, which infiltrated and eliminated tumors and protected mice from rechallenge. In combination with mRNA encoding OVA, IR-mRNA prevented growth of OVA+ tumors. IR-mRNAs also synergized with anti-PD-1, and enhanced humoral and adaptive immune responses to infectious disease antigens.

Contributed by Lauren Hitchings

In mice, i.t. or i.v. delivery of CKK-E12-LNPs loaded with immune-remodeling mRNAs (IR-mRNAs) encoding NF-κB-inducing kinase (NIK) or IFN regulatory factor 8 (IRF8) induced (1) APC activation and maturation into cDC1s, (2) a release of immunostimulatory cytokines, (3) accumulation of NKT and γδT cells in tumors, and (4) priming of antitumor CD8+ T cells, which infiltrated and eliminated tumors and protected mice from rechallenge. In combination with mRNA encoding OVA, IR-mRNA prevented growth of OVA+ tumors. IR-mRNAs also synergized with anti-PD-1, and enhanced humoral and adaptive immune responses to infectious disease antigens.

Contributed by Lauren Hitchings

ABSTRACT: Although immunotherapy has benefited a subset of persons with cancer, its broader efficacy remains limited, primarily because of an immunosuppressive tumor microenvironment characterized by insufficient numbers of functional tumor-specific T cells, antigen-presenting cells (APCs) and tumor-infiltrating lymphocytes. Here we engineer immune cells in the tumor microenvironment using lipid nanoparticles (LNPs) to deliver immune-remodeling mRNAs (IR-mRNAs) encoding NF-κB-inducing kinase or interferon regulatory factor 8. These IR-mRNAs activate APCs in tumors, significantly increasing activated type 1 conventional dendritic cells, immunostimulatory cytokines and priming antitumor CD8+ T cells. IR-mRNAs encapsulated in LNPs elicited durable antitumor responses in multiple syngeneic mouse tumor models through both intratumoral and intravenous delivery. Coadministration of IR-mRNA and ovalbumin mRNA elicited a ~10-fold increase in antigen-specific CD8+ T cell responses, sustained long-term memory and effectively prevented tumor growth in vaccinated mice. Additionally, coadministration of IR-mRNA and hemagglutinin mRNA enhanced the humoral response ~5-fold and the cellular response ~15-fold, underscoring their potential as adjuvants for boosting adaptive immunity.

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

Author Info: (1) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (2) Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA. (3) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (4) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (5) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (6) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, USA. (7) Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA. (8) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (9) Bioinformatics & Computing Core Facility of the Swanson Biotechnology Center, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. (10) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (11) Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA. Department of Systems Biology, Harvard Medical School, Boston, MA, USA. Department of Radiology, Massachusetts General Brigham, Boston, MA, USA. (12) Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA. cgarris@mgh.harvard.edu. Department of Pathology, Massachusetts General Hospital, Boston, MA, USA. cgarris@mgh.harvard.edu. (13) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu.

Polymer-mRNA complexes for monocyte-trafficked, lymph node-targeted cancer vaccination Spotlight 

To improve mRNA vaccine delivery to lymph nodes, Ren, Zhao, and Zhou et al. developed a DTC-modified, PEI-based, transferrin receptor-associating polyplex (TRAP) that enters cells by binding to TfR1, which is highly expressed on monocytes. In mice, s.c. TRAPs induced local inflammation, leading to monocyte recruitment, and effectively bound to and were taken up by TfR1high monocytes, inducing both differentiation into mo-DCs and HEV-mediated trafficking to draining lymph nodes, where mRNA translation and antigen presentation occurred. In tumor models, TRAP-mRNA vaccines elicited strong, antigen-specific, cytotoxic T cell responses, and reduced tumor progression.

Contributed by Lauren Hitchings

To improve mRNA vaccine delivery to lymph nodes, Ren, Zhao, and Zhou et al. developed a DTC-modified, PEI-based, transferrin receptor-associating polyplex (TRAP) that enters cells by binding to TfR1, which is highly expressed on monocytes. In mice, s.c. TRAPs induced local inflammation, leading to monocyte recruitment, and effectively bound to and were taken up by TfR1high monocytes, inducing both differentiation into mo-DCs and HEV-mediated trafficking to draining lymph nodes, where mRNA translation and antigen presentation occurred. In tumor models, TRAP-mRNA vaccines elicited strong, antigen-specific, cytotoxic T cell responses, and reduced tumor progression.

Contributed by Lauren Hitchings

ABSTRACT: Lymph nodes are the primary sites where adaptive immunity is initiated, yet most messenger RNA cancer vaccines reach them inefficiently and instead accumulate in organs such as the liver, limiting therapeutic potency and increasing systemic toxicity. Here we developed a transferrin receptor-associating polyplex formed by electrostatic complexation of mRNA with low-molecular-weight polyethylenimine that had been chemically modified with cyclic disulfide monomers to enhance nucleic acid binding stability, enable thiol-based transferrin receptor engagement and reduce off-target liver uptake. After subcutaneous administration, these polyplexes activated innate immunity, rapidly recruited monocytes with high transferrin receptor expression and bound these cells through cyclic disulfide-mediated interactions. Monocytes then trafficked the vaccine to draining lymph nodes, where mRNA translation and antigen presentation occurred. Delivery of ovalbumin and interleukin 12 mRNA elicited strong antigen-specific cytotoxic T cell responses and inhibited melanoma progression and metastatic disease. Studies using Survivin and human papillomavirus antigens in distinct tumour models demonstrated broad applicability. This monocyte-driven lymph node-targeting strategy enables potent and selective delivery of mRNA cancer vaccines.

Author Info: 1Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, P. R. China. 2Institutes of Biology and Medical Scien

Author Info: 1Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, P. R. China. 2Institutes of Biology and Medical Science, Soochow University, Suzhou, P. R. China. 3Catug Biotechnology Co. Ltd, Suzhou, P. R. China. 4Department of Biosciences and Bioinformatics, School of Science, Xi'an Jiaotong-Liverpool University, Suzhou, P. R. China. 5School of Pharmacy, Shanghai Jiao Tong University, Shanghai, P. R. China. 6College of Pharmaceutical Sciences, Soochow University, Suzhou, P. R. China. 7Suzhou Abogen Biosciences Co. Ltd, Suzhou, P. R. China. 8Institutes of Biology and Medical Science, Soochow University, Suzhou, P. R. China. zhoufangfang@suda.edu.cn. 9Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, P. R. China. xucc@suda.edu.cn. 10College of Pharmaceutical Sciences, Soochow University, Suzhou, P. R. China. xucc@suda.edu.cn. 11International College of Pharmaceutical Innovation, Soochow University, Suzhou, P. R. China. xucc@suda.edu.cn. 12Biomedical Polymers Laboratory, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, P. R. China. zyzhong@suda.edu.cn. 13College of Pharmaceutical Sciences, Soochow University, Suzhou, P. R. China. zyzhong@suda.edu.cn. 14International College of Pharmaceutical Innovation, Soochow University, Suzhou, P. R. China. zyzhong@suda.edu.cn. #Contributed equally.

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