Journal Articles

In situ reprogramming of glioma stem cells into dendritic cell-like cells for glioblastoma immunotherapy

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Chunwei Tang (1,4), Weiyi Sun (1,4), Zhenmei Yang (1,4), Xiaotian Zhao (1), Jian Gao (1), Kun Han (1), Zichao Yao (1), Xianghui Dong (1), Miaoyan Liu (1), Jing Zhang (1), Zhaoyu Chen (2), Xiao Yue (1), Zhipeng Fu (1), Yan Wang (1), Maosen Han (1), Ying Liu (1), Jinxin Gao (1), Yulin Zhang (3), Xinyi Jiang (1), Chen Chen (1), Xin Wen (1), Kun Zhao (1) & Jingyi Han (1).

Nature communications

Tang, Sun, Yang, et al. reprogrammed glioma stem cells (GSCs) into cDC1-like cells in situ by administering a hydrogel to the post-op tumor cavity for slow and local delivery of CD133-targeting LNPs carrying plasmids encoding PIB (PU.1, IRF8, BATF3) and costimulatory TNFSF9. In vivo, GSCs were preferentially targeted and acquired a cDC1-like phenotype with increased antigen presentation, costimulatory signaling, and proinflammatory cytokine secretion, supporting enhanced antigen-specific effector and memory T cell responses that cleared tumor cells, improved survival and neurological outcomes, and protected against relapse and rechallenge.

Contributed by Lauren Hitchings

Chunwei Tang (1,4), Weiyi Sun (1,4), Zhenmei Yang (1,4), Xiaotian Zhao (1), Jian Gao (1), Kun Han (1), Zichao Yao (1), Xianghui Dong (1), Miaoyan Liu (1), Jing Zhang (1), Zhaoyu Chen (2), Xiao Yue (1), Zhipeng Fu (1), Yan Wang (1), Maosen Han (1), Ying Liu (1), Jinxin Gao (1), Yulin Zhang (3), Xinyi Jiang (1), Chen Chen (1), Xin Wen (1), Kun Zhao (1) & Jingyi Han (1).

Nature communications

Tang, Sun, Yang, et al. reprogrammed glioma stem cells (GSCs) into cDC1-like cells in situ by administering a hydrogel to the post-op tumor cavity for slow and local delivery of CD133-targeting LNPs carrying plasmids encoding PIB (PU.1, IRF8, BATF3) and costimulatory TNFSF9. In vivo, GSCs were preferentially targeted and acquired a cDC1-like phenotype with increased antigen presentation, costimulatory signaling, and proinflammatory cytokine secretion, supporting enhanced antigen-specific effector and memory T cell responses that cleared tumor cells, improved survival and neurological outcomes, and protected against relapse and rechallenge.

Contributed by Lauren Hitchings

ABSTRACT: Immunotherapy has revolutionized the treatment landscape for many cancers, but fails to improve the outcomes of glioblastoma multiforme (GBM), in which low tumor antigen presentation restricts the recognition and eradication of cancerous cells by immunocytes. We here report an approach to in situ reprogramming hypoimmunogenic glioblastoma stem cells (GSCs) into type 1 conventional dendritic cell (cDC1)-like cells for presenting endogenous tumor antigens and priming sustained tumoricidal T-cell responses. Specifically, our cavity-injectable nucleobase-derived lipid nanoparticle (LNP)-hydrogel superstructure efficiently delivers transcription factors (PU.1, IRF8, BATF3) and the costimulatory molecule (TNFSF9) into GSCs to induce cDC1-like reprogramming. These cDC1-like cells potentiate GBM immunogenicity, elicit robust adaptive immunity and long-term antitumor memory, thereby inhibiting tumor growth and preventing postoperative GBM relapse in mice. Collectively, this work establishes in situ tumor cell reprogramming into licensed cDC1-like cells as a therapeutic paradigm for converting immunologically “cold” tumors into a self-vaccinating immune niche with broad translational potential for hypoimmunogenic malignancy treatment.

Author Info: (1) Department of Thoracic Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Targeted Drug Delivery and Advanced Pharmaceutics, NMPA Key Laboratory fo

Author Info: (1) Department of Thoracic Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Targeted Drug Delivery and Advanced Pharmaceutics, NMPA Key Laboratory for Technology Research and Evaluation of Drug Products and Key Laboratory of Chemical Biology (Ministry of Education), Department of Pharmaceutics, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.(2) Shandong University of Traditional Chinese Medicine, Jinan, China. (3) Department of Neurosurgery, Qilu Hospital and Institute of Brain and Brain-Inspired Science, Cheeloo College of Medicine, Shandong University, Jinan, China. (4)These authors contributed equally: Chunwei Tang, Weiyi Sun, Zhenmei Yang. e-mail: xinyijiang@sdu.edu.cn; chenchen27@sdu.edu.cn; wxzbc@mail.sdu.edu.cn; kzhao2013@sdu.edu.cn; jyhantw@email.sdu.edu.cn

Citation: nat com 2026

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    IL-2/CD25 acts within the tumor microenvironment to reprogram tumor-specific cytotoxic CD8+ T cells while restraining regulatory T-cell accumulation

    Spotlight 

    (1) LaPorte KM (2) Pöder J (3) Ivanova D (4) Dalzell M (5) Serafini P (6) Villarino AV (7) Malek TR

    Journal for immunotherapy of cancer | Free PMC Article

    LaPorte et al. show that high-dose mouse IL-2/CD25 fusion protein (mIL-2/CD25) reprograms the CT26 and MC38 tumor microenvironments to favor tumor-specific CD8+ T cells over Tregs. HD mIL-2/CD25 promoted chemokine and inflammatory programs that increased intratumoral CD8+ T cell infiltration, clonal expansion, and differentiation into effector and stem-like states. In contrast, intratumoral Tregs showed impaired IL-2R signaling and effector Treg differentiation, failed to upregulate Foxp3 and CD25, and were prone to cell death. Combination with anti-PD-1 enhanced multiple tumor-specific CD8⁺ T cell effector programs and limited Treg infiltration.

    Contributed by Shishir Pant

    (1) LaPorte KM (2) Pöder J (3) Ivanova D (4) Dalzell M (5) Serafini P (6) Villarino AV (7) Malek TR

    Journal for immunotherapy of cancer | Free PMC Article

    LaPorte et al. show that high-dose mouse IL-2/CD25 fusion protein (mIL-2/CD25) reprograms the CT26 and MC38 tumor microenvironments to favor tumor-specific CD8+ T cells over Tregs. HD mIL-2/CD25 promoted chemokine and inflammatory programs that increased intratumoral CD8+ T cell infiltration, clonal expansion, and differentiation into effector and stem-like states. In contrast, intratumoral Tregs showed impaired IL-2R signaling and effector Treg differentiation, failed to upregulate Foxp3 and CD25, and were prone to cell death. Combination with anti-PD-1 enhanced multiple tumor-specific CD8⁺ T cell effector programs and limited Treg infiltration.

    Contributed by Shishir Pant

    BACKGROUND: Targeting the high-affinity interleukin-2 receptor (IL-2R) on CD8(+) T effector cells elicits potent antitumor responses that are augmented when co-administered with programmed cell death protein 1 (PD-1) blockade. METHODS: Using the mouse IL-2/CD25 fusion protein (mIL-2/CD25) at a high dose (HD) and anti-PD-1 checkpoint blockade, with the CT26 and MC38 colon carcinomas as models, the current study investigated how antitumor responses occurred when regulatory T cells (Tregs) are also a target of HD mIL-2/CD25. Single-cell RNA sequencing (scRNA-seq) and T-cell receptor (TCR) repertoire analysis of tumor-associated immune cells were used to identify how combination therapy reshaped the tumor microenvironment (TME). These data were cross-referenced with published datasets to (1) corroborate TCR specificity and (2) identify how CD8(+) T-cell differentiation is affected by different IL-2/PD-1 strategies. RESULTS: Here, we show that effective antitumor immunity by the combination therapy is a result of HD mIL-2/CD25-dependent reprogramming of CD8(+) tumor-specific T cells that increases their function and supports their expansion within the TME, the latter also shaped by PD-1 blockade. This therapy supports antitumor responses by chemokines and inflammatory cytokines that selectively favor the migration of CD8(+) T cells but not Tregs deep within the tumor. After HD mIL-2/CD25 treatment, Tregs within the TME showed impaired downstream IL-2R signaling, reflected by failed upregulation of forkhead box P3 and CD25, impaired development into effector Tregs, and enhanced cell death, the latter which likely offsets Treg proliferation. Many similarities were noted after direct comparison of these scRNA-seq findings with another study where IL-2 activity was targeted to PD-1(+) CD8(+) T cells. Notably, HD mIL-2/CD25 and anti-PD-1 combination promotes effector and 'stem-like' CD8(+) T-cell subsets, perhaps even to a greater extent than the PD-1-targeted IL-2 strategy. CONCLUSIONS: The efficient differentiation of exhausted CD8(+) T cells into highly functional cells and the resulting potent antitumor responses by HD mIL-2/CD25 plus anti-PD-1 suggest that this approach may augment durable response rates more than currently achieved with checkpoint blockade monotherapy.

    Author Info: (1) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. Laboratory of Allergic Diseases, National Institute of Allergy and

    Author Info: (1) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. Laboratory of Allergic Diseases, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA. (2) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. (3) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. (4) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. (5) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. (6) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA. (7) Department of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, Florida, USA tmalek@med.miami.edu.

    Citation: J Immunother Cancer 2026 Sep 29 14: Epub09/29/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42810810

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    Senescence-directed nanotherapy ameliorates fibrosis and overcomes immune exclusion in cancer Spotlight 

    (1) Hinterleitner C (2) Barthet VJA (3) Goldberg HV (4) Vogt KC (5) Perea AM (6) Hillger LR (7) Ruiz S (8) McHugh D (9) Ho YJ (10) Chaves-Perez A (11) Skamagki M (12) Flowers S (13) Styers HC (14) Rekhtman N (15) Zhuang X (16) Dessotti Barretto G (17) Li X (18) Watson JT (19) Luan W (20) Simon J (21) Tammela T (22) Gardner R (23) Rudin CM (24) Romesser PB (25) Bott MJ (26) Filliol A (27) Heller DA (28) Lowe SW

    Science

    Hinterleitner, Barthet, and Goldberg et al. showed that senescent-like cells in fibrotic human and mouse tissues expressed P-selectin, and the team developed fucoidan-based senescence-modulating nanoparticles (SMNPs) to target these cells. SMNPs selectively depleted P-selectin+ senescent-like macrophages (Sen+MP) and reduced liver and lung fibrosis with limited toxicities. In fibrotic liver and lung tumor models, SMNPs remodeled stromal and myeloid barriers, increased DC and T cell infiltration, and improved response to ICB. P-selectin+ Sen+MP were enriched in immune-excluded human tumors and correlated with poor response to neoadjuvant ICB plus chemotherapy.

    Contributed by Shishir Pant

    (1) Hinterleitner C (2) Barthet VJA (3) Goldberg HV (4) Vogt KC (5) Perea AM (6) Hillger LR (7) Ruiz S (8) McHugh D (9) Ho YJ (10) Chaves-Perez A (11) Skamagki M (12) Flowers S (13) Styers HC (14) Rekhtman N (15) Zhuang X (16) Dessotti Barretto G (17) Li X (18) Watson JT (19) Luan W (20) Simon J (21) Tammela T (22) Gardner R (23) Rudin CM (24) Romesser PB (25) Bott MJ (26) Filliol A (27) Heller DA (28) Lowe SW

    Science

    Hinterleitner, Barthet, and Goldberg et al. showed that senescent-like cells in fibrotic human and mouse tissues expressed P-selectin, and the team developed fucoidan-based senescence-modulating nanoparticles (SMNPs) to target these cells. SMNPs selectively depleted P-selectin+ senescent-like macrophages (Sen+MP) and reduced liver and lung fibrosis with limited toxicities. In fibrotic liver and lung tumor models, SMNPs remodeled stromal and myeloid barriers, increased DC and T cell infiltration, and improved response to ICB. P-selectin+ Sen+MP were enriched in immune-excluded human tumors and correlated with poor response to neoadjuvant ICB plus chemotherapy.

    Contributed by Shishir Pant

    ABSTRACT: Fibrotic remodeling of tissues and tumors establishes immunosuppressive microenvironments that drive organ dysfunction and, in cancer, limit response to immunotherapy. Senescent-like cells are conserved drivers of fibrosis and therapeutic targets, yet their functional heterogeneity complicates therapeutic intervention. Here, we show that P-selectin is expressed by a subset of senescent-like cells in fibrotic tissues and tumors. Leveraging fucoidan-based nanoparticles that bind P-selectin, we developed senescence-modulating nanoparticles (SMNPs) to selectively target these disease-associated states. SMNPs exerted potent antifibrotic and immunomodulatory effects while improving the therapeutic index. Mechanistically, we identified a pathogenic, immunosuppressive macrophage population as a functional target in vivo. In fibrotic tumors, niche remodeling restored immune infiltration and sensitized tumors to immune checkpoint-based therapies. These findings establish SMNPs as a generalizable strategy to target pathogenic senescent cell subsets across fibrosis and cancer.

    Author Info: (1) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (2) Cancer Biology and Genetics Program, Sloan Ketter

    Author Info: (1) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (2) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (3) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA. (4) Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (5) Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Cancer Engineering Program, Gerstner Sloan Kettering School for Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (6) Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (7) Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA. Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (8) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (9) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (10) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (11) Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (12) Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (13) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Cancer Engineering Program, Gerstner Sloan Kettering School for Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (14) Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (15) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (16) Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (17) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (18) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (19) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (20) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (21) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (22) Flow Cytometry Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (23) Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA. Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (24) Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Early Drug Development Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (25) Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (26) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (27) Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA. Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (28) Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

    Citation: Science 2026 Sep 24 393:eaeg4791 Epub09/24/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42784692

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    ANKRD11 deficiency reprograms CD8+ T cell differentiation to enhance immunity in chronic infection and cancer

    Spotlight 

    (1) Xu W (2) Guo J (3) Cao X (4) Li L (5) Xiao P (6) Zhang X (7) Jin Q (8) Zhang F (9) Hou B (10) Li M (11) Zhou X

    Nature immunology

    Using novel Tg mouse models, Xu et al. identified a TCR specific for a clinically relevant epitope rarely expressed on CD8+ T cells in chronic HBV infection. Efficacy of the specific TCR+ CD8+ T cells in a murine chronic HBV infection model was restrained by the immunosuppressive liver environment. Genome-wide CRISPR-Cas9 KO screening identified the mediator of such T cell restraint as ankyrin repeat domain11 (Ankrd11), a chromatin regulator that acts to break AP-1 family gene transcription. Ankrd11 deficiency in T cells boosted T cell expansion and differentiation of TPEX and PD-1-TOX- tolerant cells into effectors of murine antiviral and antitumor responses.

    Contributed by Paula Hochman

    (1) Xu W (2) Guo J (3) Cao X (4) Li L (5) Xiao P (6) Zhang X (7) Jin Q (8) Zhang F (9) Hou B (10) Li M (11) Zhou X

    Nature immunology

    Using novel Tg mouse models, Xu et al. identified a TCR specific for a clinically relevant epitope rarely expressed on CD8+ T cells in chronic HBV infection. Efficacy of the specific TCR+ CD8+ T cells in a murine chronic HBV infection model was restrained by the immunosuppressive liver environment. Genome-wide CRISPR-Cas9 KO screening identified the mediator of such T cell restraint as ankyrin repeat domain11 (Ankrd11), a chromatin regulator that acts to break AP-1 family gene transcription. Ankrd11 deficiency in T cells boosted T cell expansion and differentiation of TPEX and PD-1-TOX- tolerant cells into effectors of murine antiviral and antitumor responses.

    Contributed by Paula Hochman

    ABSTRACT: CD8(+) T cell dysfunction is a major obstacle to hepatitis B virus (HBV) clearance and antitumor immunity. Here, using a humanized mouse model, we identify a T cell receptor targeting a clinically relevant HBV epitope and reveal ANKRD11 as a key epigenetic regulator of CD8(+) T cell dysfunction in chronic infection and tumors. Ankrd11 knockout in CD8(+) T cells enhances HBV-specific T cell proliferation and effector differentiation, especially under immunosuppressive conditions, via AP-1 family gene upregulation. Loss of Ankrd11 both drives the conversion of progenitor exhausted T cells into terminally exhausted T cells, and reprograms PD-1(-)TOX(-) tolerant cells into functional effectors, improving antiviral and antitumor responses. Ankrd11-deficient T cells show increased granzyme and superior effector function, enhancing viral control and tumor regression. These findings position ANKRD11 as a promising immunotherapy target for chronic HBV infection and cancer.

    Author Info: (1) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Acad

    Author Info: (1) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (2) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. (3) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (4) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (5) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (6) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (7) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (8) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. Medical School, University of Chinese Academy of Sciences, Beijing, China. (9) Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China. (10) Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, China. wuhm2000@sina.com. HBV Infection, Clinical Cure and Immunology Joint Laboratory for Clinical Medicine, Capital Medical University, Beijing, China. wuhm2000@sina.com. Department of Hepatology Division 2, Peking University Ditan Teaching Hospital, Beijing, China. wuhm2000@sina.com. (11) Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China. zhouxy@im.ac.cn. Medical School, University of Chinese Academy of Sciences, Beijing, China. zhouxy@im.ac.cn.

    Citation: Nat Immunol 2026 Sep 11 Epub09/11/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42728401

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    FasL-mediated death of activated intratumoral T cells drives secondary resistance to cancer immunotherapy Spotlight 

    (1) Qing C (2) Ghorani E (3) Foster KA (4) Uddin I (5) Beattie G (6) Costoya C (7) Galvez-Cancino F (8) Walczak H (9) Amann M (10) Peggs KS (11) Quezada SA

    Cancer immunology research

    Qing and Ghorani et al. explored mechanisms of secondary resistance (2°R) to therapy (Treg depletion via anti-CD25 mAb + GM-CSF-expressing tumor cell vaccine) in B16 tumor- bearing mice. At 2°R, the TME had reductions in activated, cycling, and effector T cells compared to at initial response, and the activated T cells showed evidence of clonal expansion, tumor-specific TCR engagement, and Fas/death receptor (DR) expression. Adding anti-FasL + repeated anti-CD25 dosing to the therapeutic regimen extended survival. In patients receiving ICB, T cell activation also correlated with DR expression, and these T cells became lost over time.

    Contributed by Alex Najibi

    (1) Qing C (2) Ghorani E (3) Foster KA (4) Uddin I (5) Beattie G (6) Costoya C (7) Galvez-Cancino F (8) Walczak H (9) Amann M (10) Peggs KS (11) Quezada SA

    Cancer immunology research

    Qing and Ghorani et al. explored mechanisms of secondary resistance (2°R) to therapy (Treg depletion via anti-CD25 mAb + GM-CSF-expressing tumor cell vaccine) in B16 tumor- bearing mice. At 2°R, the TME had reductions in activated, cycling, and effector T cells compared to at initial response, and the activated T cells showed evidence of clonal expansion, tumor-specific TCR engagement, and Fas/death receptor (DR) expression. Adding anti-FasL + repeated anti-CD25 dosing to the therapeutic regimen extended survival. In patients receiving ICB, T cell activation also correlated with DR expression, and these T cells became lost over time.

    Contributed by Alex Najibi

    ABSTRACT: Cancer progression following an initial response to immunotherapy (secondary resistance; 2°R) is a major and poorly understood problem. We treated mice bearing B16 melanoma with a combination of a regulatory T cell (Treg) depleting, non-IL-2 blocking antibody (anti-CD25NIB) and an autologous cancer cell vaccine (GVAX). The regimen yielded initial tumor shrinkage followed by 2°R; lethal progression occurred in ~90% of partially responsive (PR) tumors by days 35-50. Cell lines derived from 2°R tumors retained treatment sensitivity upon re-implantation into naïve mice, suggesting resistance was related to a loss of immune control over time. Profiling PR and 2°R tumors by flow cytometry and single-cell RNA/TCR sequencing, we found that activated CD8⁺ T cells with tumor-reactive features declined in abundance, whereas non-activated T cells and Tregs increased. Activated CD8⁺ cells showed heightened TCR stimulation, clonal expansion, and expression of apoptotic signatures and death receptors, including Fas. Their loss was not explained by lymph node accumulation or differentiation to non-activated states. These findings were validated in a clinically relevant MC38 colon carcinoma model treated with anti-PD-L1 checkpoint blockade, confirming that depletion of activated, tumor-reactive clones is a shared mechanism of 2°R across therapeutic modalities. Fas ligand (FasL) blockade reversed this loss and prolonged survival. Longitudinal transcriptional and tissue staining data from human checkpoint blockade studies similarly indicated that activated T cells decline in abundance over time and at 2°R. These findings implicate death of activated T cells as a mechanism of 2°R and suggest Fas-FasL blockade may extend response durability.

    Author Info: (1) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (2) University College London Cancer Institute, London United Kingdom. (3) Dana-Farber Cancer In

    Author Info: (1) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (2) University College London Cancer Institute, London United Kingdom. (3) Dana-Farber Cancer Institute Boston United States. ROR: https://ror.org/02jzgtq86 (4) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (5) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (6) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (7) University of Oxford Oxford United Kingdom. ROR: https://ror.org/052gg0110 (8) University College London London United Kingdom. ROR: https://ror.org/02jx3x895 (9) Roche (Switzerland) Schlieren Switzerland. ROR: https://ror.org/00by1q217 (10) University College London Cancer Institute, London United Kingdom. (11) University College London London United Kingdom. ROR: https://ror.org/02jx3x895

    Citation: Cancer Immunol Res 2026 Sep 15 Epub09/15/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42743199

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    A serpin-myeloid axis in pancreatic cancer heterogeneity and immune evasion Spotlight 

    (1) Falcomatà C (2) Schaefer MM (3) Singh B (4) Chhamalwan D (5) Tepper A (6) Nielsen SR (7) Potak HT (8) Dhainaut M (9) Mollaoglu G (10) Park MD (11) Merad M (12) Baccarini A (13) Brown BD

    Nature

    Falcomatà et al. used perturb-map spatial functional genomics to identify tumor-derived extracellular factors that promote PDAC immune evasion. SERPINE1 (encoding PAI1) and SERPINB2 promoted fibrin-rich ECM niches that retained and polarized macrophages toward immunosuppressive states while excluding cytotoxic CD8+ T cells. Loss of serpins or pharmacologic inhibition of PAI1 improved tumor control and sensitized orthotopic KPC PDAC tumors to anti-PD-1. In human PDACs, SERPINB1/2-expressing tumor cells were embedded within immunosuppressive niches enriched with SPP1+MARCO+ macrophages.

    Contributed by Shishir Pant

    (1) Falcomatà C (2) Schaefer MM (3) Singh B (4) Chhamalwan D (5) Tepper A (6) Nielsen SR (7) Potak HT (8) Dhainaut M (9) Mollaoglu G (10) Park MD (11) Merad M (12) Baccarini A (13) Brown BD

    Nature

    Falcomatà et al. used perturb-map spatial functional genomics to identify tumor-derived extracellular factors that promote PDAC immune evasion. SERPINE1 (encoding PAI1) and SERPINB2 promoted fibrin-rich ECM niches that retained and polarized macrophages toward immunosuppressive states while excluding cytotoxic CD8+ T cells. Loss of serpins or pharmacologic inhibition of PAI1 improved tumor control and sensitized orthotopic KPC PDAC tumors to anti-PD-1. In human PDACs, SERPINB1/2-expressing tumor cells were embedded within immunosuppressive niches enriched with SPP1+MARCO+ macrophages.

    Contributed by Shishir Pant

    ABSTRACT: Pancreatic ductal carcinoma (PDAC) is characterized by a highly immunosuppressive, extracellular matrix-rich microenvironment, yet tumours display marked heterogeneity(1-4). This raises the question of whether immune resistance is a global tumour property or is organized within spatially restricted niches. Here, using Perturb-map spatial functional genomics, we determine how different genes shape the growth and cellular environments of PDAC clones across space and time. This analysis revealed early gene-driven remodelling of local immune neighbourhoods preceding late-stage spatial clonal dominance. We identify SERPINE1 (encoding plasminogen activator inhibitor 1 (PAI1)) and SERPINB2 (encoding PAI2) as dominant regulators of tumour microenvironment control and immune evasion. These serpins promote stabilization of fibrin-rich extracellular matrix niches that spatially retain and programme macrophages towards immunosuppressive states while excluding cytotoxic T cells. Loss of Serpine1 or Serpinb2, or pharmacological inhibition of PAI1 or CD18, improves tumour control in mice and synergizes with anti-PD-1. Multimodal spatial analysis of patient tumours revealed that immunosuppressive niches form around rare SERPINB2- and SERPINE1-expressing PDAC subpopulations, dominated by SPP1+/MARCO+ macrophages. These findings identify cancer-derived SERPINE1 and SERPINB2 as local spatial organizers of immune suppression, linking tumour-intrinsic heterogeneity to local microenvironmental control and immunotherapy resistance in PDAC.

    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. (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. (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. (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. (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. (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. (7) 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. (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. Tisch Cancer 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) Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Tisch Cancer 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) Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Tisch Cancer 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. brian.brown@mssm.edu. Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. brian.brown@mssm.edu. Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. brian.brown@mssm.edu. Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. brian.brown@mssm.edu.

    Citation: Nature 2026 Sep 9 Epub09/09/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42717081

    Tags:

    PLA2G2D in tumour-draining lymph nodes regulates anti-tumour immunity Featured  

    (1) van Krimpen A (2) Huang J (3) Eterman M (4) Gerretsen V (5) Umetani M (6) Janssen JC (7) van Nimwegen M (8) Rozendaal N (9) van den Bosch TPP (10) Jiang X (11) Logronio K (12) Liu AZ (13) Liu YR (14) Nagasaki Y (15) Murakami M (16) Onrust-Van Schoonhoven A (17) Leliveld A (18) Vadgama D (19) Langeveld H (20) van Wijck R (21) Bindels E (22) von der ThŸsen J (23) Mooyaart A (24) van Maldegem F (25) Brenis CM (26) Verwaerde S (27) Hendriks RW (28) Lambrecht BN (29) GrŸnhagen DJ (30) Verhoef C (31) Aerts JGJV (32) Lee LF (33) Lu KV (34) Stadhouders R (35) Dammeijer F

    Nature

    Van Krimpen and Huang et al. performed spatial proteogenomics studies on tdLNs from patients with melanoma. In addition to identifying a spatial neighborhood in the tdLN paracortex linked to poor prognosis, the researchers also identified a population of lymph node macrophages secreting PLA2G2D, which acted as an immune checkpoint that limited CD8+ T cell-mediated antitumor immunity. Blocking PLA2G2D reduced immunosuppression and enhanced antitumor immunity, resulting in reduced tumor growth, which could be further reduced in combination with anti-PD-1. PLA2G2D was also associated with poor prognosis in patient data.

    (1) van Krimpen A (2) Huang J (3) Eterman M (4) Gerretsen V (5) Umetani M (6) Janssen JC (7) van Nimwegen M (8) Rozendaal N (9) van den Bosch TPP (10) Jiang X (11) Logronio K (12) Liu AZ (13) Liu YR (14) Nagasaki Y (15) Murakami M (16) Onrust-Van Schoonhoven A (17) Leliveld A (18) Vadgama D (19) Langeveld H (20) van Wijck R (21) Bindels E (22) von der ThŸsen J (23) Mooyaart A (24) van Maldegem F (25) Brenis CM (26) Verwaerde S (27) Hendriks RW (28) Lambrecht BN (29) GrŸnhagen DJ (30) Verhoef C (31) Aerts JGJV (32) Lee LF (33) Lu KV (34) Stadhouders R (35) Dammeijer F

    Nature

    Van Krimpen and Huang et al. performed spatial proteogenomics studies on tdLNs from patients with melanoma. In addition to identifying a spatial neighborhood in the tdLN paracortex linked to poor prognosis, the researchers also identified a population of lymph node macrophages secreting PLA2G2D, which acted as an immune checkpoint that limited CD8+ T cell-mediated antitumor immunity. Blocking PLA2G2D reduced immunosuppression and enhanced antitumor immunity, resulting in reduced tumor growth, which could be further reduced in combination with anti-PD-1. PLA2G2D was also associated with poor prognosis in patient data.

    ABSTRACT: Systemic anti-tumour immunity results from T cell priming in tumour-draining lymph nodes (TDLNs)(1-4). Although the suppression of T cells in tumours is well characterized(5-8), whether this occurs in TDLNs-and if so, through which mechanisms-remains poorly understood. Here, using imaging mass cytometry of TDLNs from patients with melanoma, we identify a spatial neighbourhood in the TDLN paracortex that is linked to the development of distant metastases. Targeted spatial transcriptomics of cells inside this neighbourhood revealed activated CD8(+) T cells engaging with myeloid cells that expressed high levels of the immunosuppressive secretory phospholipase PLA2G2D. PLA2G2D(+) myeloid cells were substantially more abundant in TDLNs than they were in primary tumours or metastases. Genetic loss-of-function or antibody-mediated inhibition of PLA2G2D reduced tumour growth markedly, and single-cell transcriptomics in melanoma-bearing mice revealed that expression of Pla2g2d is confined to lymph-node macrophages. Mechanistically, PLA2G2D directly suppressed the early proliferation of T cells in vitro, and inhibiting PLA2G2D resulted in an expansion of tumour-specific T cells in TDLNs, leading to an increase in these T cells in the circulation and subsequently in tumours. Notably, PLA2G2D and PD-1 act as non-redundant immune checkpoints, with combination treatment showing additive or synergistic efficacy in humanized mice treated with human-specific antibodies. Collectively, our in-depth spatial profiling identifies PLA2G2D as a TDLN-centred targetable immune checkpoint for cancer immunotherapy.

    Author Info: (1) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam

    Author Info: (1) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (2) Apeximmune Therapeutics, Burlingame, CA, USA. (3) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (4) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Centre for Inflammation Research, Ghent, Belgium. (5) Apeximmune Therapeutics, Burlingame, CA, USA. Department of Pharmacological and Pharmaceutical Sciences, University of Houston, Houston, TX, USA. (6) Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Department of Surgical Oncology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (7) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (8) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (9) Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (10) Apeximmune Therapeutics, Burlingame, CA, USA. (11) Apeximmune Therapeutics, Burlingame, CA, USA. (12) Apeximmune Therapeutics, Burlingame, CA, USA. (13) Taipei Medical University, Taipei City, Taiwan. (14) Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. (15) Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, University of Tokyo, Tokyo, Japan. (16) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (17) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (18) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (19) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (20) Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (21) Department of Haematology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (22) Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (23) Department of Pathology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (24) Department of Molecular Cell Biology and Immunology, Amsterdam UMC, Amsterdam, The Netherlands. (25) Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Centre for Inflammation Research, Ghent, Belgium. Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium. (26) Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Centre for Inflammation Research, Ghent, Belgium. Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium. (27) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (28) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Laboratory of Immunoregulation and Mucosal Immunology, VIB-UGent Centre for Inflammation Research, Ghent, Belgium. Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium. (29) Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Department of Surgical Oncology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (30) Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Department of Surgical Oncology, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (31) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. (32) Apeximmune Therapeutics, Burlingame, CA, USA. llee@apeximmune.com. (33) Apeximmune Therapeutics, Burlingame, CA, USA. klu@apeximmune.com. (34) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. r.stadhouders@erasmusmc.nl. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. r.stadhouders@erasmusmc.nl. (35) Department of Pulmonary Medicine, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. f.dammeijer@erasmusmc.nl. Erasmus MC Cancer Institute, Erasmus MC University Medical Centre, Rotterdam, The Netherlands. f.dammeijer@erasmusmc.nl.

    Citation: Nature 2026 Sep 9 Epub09/09/2026

    Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42717091

    Tags:

    Molecular heterogeneity and clonal origin of CCR8+ effector regulatory T cells in human cancer

    Spotlight 

    Julian Swatler (1,5), Simone Puccio (1,2,5), Emanuele Voulaz (1,3), Giuseppe Marulli (1,3), Matthew Wheeler (4), Sharmila Sambanthamoorthy (4), Eloise Scamardella (1), Simona Feno (1), Sabina Testa (1), Chiara Camisaschi (1), Emilia Maria Cristina Mazza (1), Enrico Lugli (1)

    Nature communications

    Swatler, Puccio, et al. used scRNsSeq and flow cytometry to define Treg subsets and analyze heterogeneity and TCR overlap across tissues from 9 tumor types. A common intratumoral Treg signature of 88 genes was defined, and four Treg subsets were further resolved (CCR7+ quiescent; CCR8+ effector; CD161+ Th17-like; intermediate lacking strong functional markers). In NSCLC, CCR8+ effector abundance correlated negatively, and CD161+ Th17-like abundance correlated positively with relapse-free survival. CCR8+ Tregs showed strong tumor localization with clonotype expansion, strong overlap with Tregs in dLN, and some overlap with normal adjacent tissue Tregs and intratumoral Tconv.

    Contributed by Ed Fritsch

    Julian Swatler (1,5), Simone Puccio (1,2,5), Emanuele Voulaz (1,3), Giuseppe Marulli (1,3), Matthew Wheeler (4), Sharmila Sambanthamoorthy (4), Eloise Scamardella (1), Simona Feno (1), Sabina Testa (1), Chiara Camisaschi (1), Emilia Maria Cristina Mazza (1), Enrico Lugli (1)

    Nature communications

    Swatler, Puccio, et al. used scRNsSeq and flow cytometry to define Treg subsets and analyze heterogeneity and TCR overlap across tissues from 9 tumor types. A common intratumoral Treg signature of 88 genes was defined, and four Treg subsets were further resolved (CCR7+ quiescent; CCR8+ effector; CD161+ Th17-like; intermediate lacking strong functional markers). In NSCLC, CCR8+ effector abundance correlated negatively, and CD161+ Th17-like abundance correlated positively with relapse-free survival. CCR8+ Tregs showed strong tumor localization with clonotype expansion, strong overlap with Tregs in dLN, and some overlap with normal adjacent tissue Tregs and intratumoral Tconv.

    Contributed by Ed Fritsch

    ABSTRACT: CD4+CD25+FOXP3+ regulatory T cells (Treg) are highly activated in tumors and promote disease progression. Specific, universal targeting of these effector Treg cells is limited by the lack of a conserved signature across human cancers and information on their origin. Here we combine analysis of single-cell RNA-sequencing datasets with spectral flow cytometry and identify a core signature of 88 genes consistently upregulated in intratumoral Treg cells among 9 epithelial cancers. We describe 4 Treg cell subsets – CCR7+ quiescent, CCR8+ effector, CD161+ and intermediate, with distinct tissue distribution, function, differentiation trajectories and molecular drivers. By single-cell T cell receptor sequencing, we observe that protumoral, effector CCR8+ Treg cells exhibit little clonal relationship with other Treg cell subsets inside tumors, but are clonally related to Treg cells in tumor-draining lymph nodes, as well as conventional T cells in tumors. This resource provides insights for development and fine-tuning of CCR8+ Treg cell-targeting therapies in cancer.

    Author Info: 1-IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy. 2- Institute of Genetic and Biomedical Research, UoS Milan, National Research Council, Rozzano, Milan, Italy. 3- Departm

    Author Info: 1-IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy. 2- Institute of Genetic and Biomedical Research, UoS Milan, National Research Council, Rozzano, Milan, Italy. 3- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy. 4- Discovery Biology, Bristol Myers Squibb Company, Redwood City, California, CA, USA. 5- These authors contributed equally: Julian Swatler, Simone Puccio. e-mail: julian.swatler@humanitasresearch.it; enrico.lugli@humanitasresearch.it

    Citation: Nat com 2026

    Tags:

      Tumor immune microenvironment remodeling predicts response to checkpoint inhibitor therapy Spotlight 

      (1) Lin Z (2) Chandra M (3) Srinivas N (4) Ugurel S (5) Becker JC (6) Aran D

      Cancer cell

      Lin et al. developed a longitudinal scRNAseq atlas of 441 ICI-treated tumors from 241 patients across 10 cancer types, and identified 4 conserved TIME states. ICI induced temporal TIME remodeling with early T cell activation, resolution of distinct ISG patterns, and progressive stromal and immune restructuring. During treatment, approximately 40% of tumors transitioned between TIME states, with inflamed or B cell-enriched transitions associated with response and survival, while myeloid-dominant states associated with resistance. A baseline 59-gene transition signature was predictive of ICI response and survival across 1,383 tumors from 19 independent cohorts.

      Contributed by Shishir Pant

      (1) Lin Z (2) Chandra M (3) Srinivas N (4) Ugurel S (5) Becker JC (6) Aran D

      Cancer cell

      Lin et al. developed a longitudinal scRNAseq atlas of 441 ICI-treated tumors from 241 patients across 10 cancer types, and identified 4 conserved TIME states. ICI induced temporal TIME remodeling with early T cell activation, resolution of distinct ISG patterns, and progressive stromal and immune restructuring. During treatment, approximately 40% of tumors transitioned between TIME states, with inflamed or B cell-enriched transitions associated with response and survival, while myeloid-dominant states associated with resistance. A baseline 59-gene transition signature was predictive of ICI response and survival across 1,383 tumors from 19 independent cohorts.

      Contributed by Shishir Pant

      ABSTRACT: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, yet the basis of variable patient responses remains unclear. We assemble a longitudinal single-cell RNA sequencing atlas of 441 samples from 241 patients across ten cancer entities to map treatment-associated remodeling of the tumor immune microenvironment (TIME). With a hierarchical reference-guided deep-phenotyping framework, we define 77 immune and stromal subtypes and resolve four conserved TIME subtypes. Approximately 40% of tumors shift between states during therapy, and the transition is more predictive of outcome than the baseline state. Favorable transitions toward inflamed or B cell-enriched subtype track with improved response and survival, while persistence in or shifts toward myeloid dominance indicate resistance. We derive a 59-gene signature that predicted response and survival for 1,383 baseline tumors across 19 independent cohorts. These findings establish immunotype transitions as a central determinant of ICI efficacy, offering new avenues for response prediction and rational immunotherapy design.

      Author Info: (1) Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel. (2) Translational Skin Cancer Research, German Cancer Consortium (DKTK), Partner Site Essen, Medical

      Author Info: (1) Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel. (2) Translational Skin Cancer Research, German Cancer Consortium (DKTK), Partner Site Essen, Medical Faculty, University of Duisburg-Essen, Essen, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany. (3) Translational Skin Cancer Research, German Cancer Consortium (DKTK), Partner Site Essen, Medical Faculty, University of Duisburg-Essen, Essen, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Dermatology, University Hospital Essen, Essen, Germany. (4) German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Dermatology, University Hospital Essen, Essen, Germany. (5) Translational Skin Cancer Research, German Cancer Consortium (DKTK), Partner Site Essen, Medical Faculty, University of Duisburg-Essen, Essen, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Dermatology, University Hospital Essen, Essen, Germany. Electronic address: j.becker@dkfz-heidelberg.de. (6) Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel; The Taub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel. Electronic address: dviraran@technion.ac.il.

      Citation: Cancer Cell 2026 Sep 1 Epub09/01/2026

      Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42679812

      Tags:

      Spatiotemporal multiomics uncover tumor ecosystem dynamics during metastatic colonization Spotlight 

      (1) Sun Y (2) Zhong Y (3) Liu S (4) Zhang Z (5) Wang C (6) Liu Y (7) Chen J (8) Guo W (9) Gu X (10) Rao K (11) Wang Z (12) Cao M (13) Wang Y (14) Huang W (15) Zou X (16) Chen X (17) Qiu S (18) Shi Y (19) Sun H (20) Huang X (21) Wang Y (22) Wang J (23) Wu Z (24) Tian R (25) Zhang Y (26) Gu J (27) Jiang M (28) Bai Y (29) Li G (30) Xie M (31) Xi F (32) Peng L (33) Liu S (34) Yang S (35) Zhang Y (36) Esteban MA (37) Jin X (38) Chen A (39) Wang J (40) Cang Y (41) Peng DH (42) Xu X (43) Zhou J (44) Wu L (45) Fan J

      Science

      Sun et al. performed multi-omics analysis across nine stages of mouse HCC lung metastatic colonization, with supporting human data, to map the co-evolution of disseminated tumor cells (DTCs) and host immune niches. A rare transient, quiescent subpopulation of Phgdhhigh DTCs survived neutrophil- and NK cell-mediated clearance. PHGDH-driven one-carbon metabolism increased S-adenosylmethionine and H3K27me3-mediated silencing of Ccl2 and Cxcl10 to establish an immune-scarce niche. Eventually, CX3CR1high interstitial macrophages accumulated, recruited immunosuppressive cells, and activated IGF1–IGF1R signaling to promote DTC outgrowth.

      Contributed by Shishir Pant

      (1) Sun Y (2) Zhong Y (3) Liu S (4) Zhang Z (5) Wang C (6) Liu Y (7) Chen J (8) Guo W (9) Gu X (10) Rao K (11) Wang Z (12) Cao M (13) Wang Y (14) Huang W (15) Zou X (16) Chen X (17) Qiu S (18) Shi Y (19) Sun H (20) Huang X (21) Wang Y (22) Wang J (23) Wu Z (24) Tian R (25) Zhang Y (26) Gu J (27) Jiang M (28) Bai Y (29) Li G (30) Xie M (31) Xi F (32) Peng L (33) Liu S (34) Yang S (35) Zhang Y (36) Esteban MA (37) Jin X (38) Chen A (39) Wang J (40) Cang Y (41) Peng DH (42) Xu X (43) Zhou J (44) Wu L (45) Fan J

      Science

      Sun et al. performed multi-omics analysis across nine stages of mouse HCC lung metastatic colonization, with supporting human data, to map the co-evolution of disseminated tumor cells (DTCs) and host immune niches. A rare transient, quiescent subpopulation of Phgdhhigh DTCs survived neutrophil- and NK cell-mediated clearance. PHGDH-driven one-carbon metabolism increased S-adenosylmethionine and H3K27me3-mediated silencing of Ccl2 and Cxcl10 to establish an immune-scarce niche. Eventually, CX3CR1high interstitial macrophages accumulated, recruited immunosuppressive cells, and activated IGF1–IGF1R signaling to promote DTC outgrowth.

      Contributed by Shishir Pant

      ABSTRACT: The mechanisms underlying the interactions between disseminated tumor cells (DTCs) and their tissue microenvironment during metastatic colonization are currently poorly understood. We integrated multimodal single-cell and spatial profiling from liver cancer mouse models and human metastases to track the spatiotemporal dynamics of DTCs and their microenvironments from single-cell seeding to overt lung metastasis. We identified a residual population of quiescent Phgdh(high) DTCs that survived initial innate immune clearance and became transiently enriched in micrometastases. These cells shaped an immune-scarce microenvironment through PHGDH-dependent, H3K27me3-mediated epigenetic silencing of chemokine transcription, thereby promoting metastatic expansion. Cx3cr1(high) interstitial macrophages were also transiently enriched before DTC expansion, creating an immune-privileged niche for metastatic outgrowth by recruiting immunosuppressive cells. Inactivating the PHGDH-H3K27me3 axis in DTCs or depleting interstitial macrophages restored immune surveillance and inhibited metastatic colonization. These findings provide insights into the development of micrometastasis-targeting regimens.

      Author Info: (1) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Insti

      Author Info: (1) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (2) BGI Research, Chongqing, China. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, China. (3) BGI Research, Chongqing, China. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Ruijin Yangtze River Delta Health Institute, Wuxi Branch of Ruijin Hospital, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. (4) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (5) BGI Research, Chongqing, China. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (6) School of Life Science and Technology, ShanghaiTech University, Shanghai, China. (7) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (8) Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (9) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (10) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (11) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. (12) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (13) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (14) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (15) BGI Research, Chongqing, China. Department of Neurology, Hubei Provincial Clinical Research Center for Parkinson's Disease, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China. (16) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. (17) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (18) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (19) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (20) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (21) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (22) Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China. (23) Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China. First Hospital of Shanxi Medical University, Taiyuan, China. Molecular Imaging Precision Medical Collaborative Innovation Center, Shanxi Medical University, Taiyuan, China. (24) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (25) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. (26) Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. (27) BGI Research, Chongqing, China. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. (28) BGI Research, Hangzhou, China. (29) BGI Research, Chongqing, China. (30) BGI Research, Chongqing, China. (31) BGI Research, Chongqing, China. (32) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. (33) BGI Research, Hangzhou, China. (34) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China. BGI, Shenzhen, China. (35) Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. Department of Oral and Maxillofacial Surgery, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Stomatology, Zhongshan Hospital Fudan University, Shanghai, China. (36) 3DC STAR Lab, BGI CELL, Shenzhen, China. Prince Fahad bin Sultan Research Chair for Biomedical Research, University of Tabuk, Tabuk, Saudi Arabia. (37) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China. (38) BGI Research, Chongqing, China. JFL-BGI STOmics Center, Jinfeng Laboratory, Chongqing, China. (39) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. (40) School of Life Science and Technology, ShanghaiTech University, Shanghai, China. (41) Dunwill Med-Tech, Shanghai, China. (42) State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China. (43) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China. (44) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. BGI Research, Chongqing, China. State Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen, China. Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan, China. (45) Zhongshan-BGI Precision Medical Center, Zhongshan Hospital, Fudan University, Shanghai, China. Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.

      Citation: Science 2026 Jul 30 393:eadz7928 Epub07/30/2026

      Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42531396

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