Journal Articles

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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Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma Spotlight 

(1) Asano Y (2) Veatch JR (3) Sung CJ (4) Tang TH (5) Mazziotta F (6) Natsuki S (7) McAfee M (8) Bakhtiari J (9) Lee B (10) Martin L (11) Rizzi A (12) Zhang T (13) Smith CW (14) Paulson KG (15) Schmitt TM (16) Newell EW (17) Elz AE (18) Chen DG (19) Su Y (20) Gustafson HH (21) Yeung CCS (22) Seaton B (23) Hunter D (24) Koelle DM (25) Bhatia S (26) Hall ET (27) Voillet V (28) Cao J (29) Gooley T (30) Greenberg PD (31) Gottardo R (32) Oda SK (33) Nghiem P (34) Chapuis AG

Science translational medicine

Asano, Veatch, and Sung et al. identified TCRMCC1, a high-avidity HLA-A*02:01-restricted TCR targeting Merkel cell polyomavirus large-T antigen and treated seven patients who had ICI-refractory metastatic MCC using autologous TCRMCC1-transduced T cells plus ICB. TTCR-MCC1 cells trafficked to tumors and induced regression in two patients, but HLA class I silencing limited activity. In one patient, delayed regression coincided with endogenous effector T cell activation and restored tumor HLA expression. TTCR-MCC1 cells armored with CD8αβ and a CD200R-CD28 switch receptor showed enhanced tumor infiltration, HLA expression, and control of HLA-low MCC in vivo.

Contributed by Shishir Pant

(1) Asano Y (2) Veatch JR (3) Sung CJ (4) Tang TH (5) Mazziotta F (6) Natsuki S (7) McAfee M (8) Bakhtiari J (9) Lee B (10) Martin L (11) Rizzi A (12) Zhang T (13) Smith CW (14) Paulson KG (15) Schmitt TM (16) Newell EW (17) Elz AE (18) Chen DG (19) Su Y (20) Gustafson HH (21) Yeung CCS (22) Seaton B (23) Hunter D (24) Koelle DM (25) Bhatia S (26) Hall ET (27) Voillet V (28) Cao J (29) Gooley T (30) Greenberg PD (31) Gottardo R (32) Oda SK (33) Nghiem P (34) Chapuis AG

Science translational medicine

Asano, Veatch, and Sung et al. identified TCRMCC1, a high-avidity HLA-A*02:01-restricted TCR targeting Merkel cell polyomavirus large-T antigen and treated seven patients who had ICI-refractory metastatic MCC using autologous TCRMCC1-transduced T cells plus ICB. TTCR-MCC1 cells trafficked to tumors and induced regression in two patients, but HLA class I silencing limited activity. In one patient, delayed regression coincided with endogenous effector T cell activation and restored tumor HLA expression. TTCR-MCC1 cells armored with CD8αβ and a CD200R-CD28 switch receptor showed enhanced tumor infiltration, HLA expression, and control of HLA-low MCC in vivo.

Contributed by Shishir Pant

ABSTRACT: Immune checkpoint inhibitors (ICIs) have transformed Merkel cell carcinoma (MCC) outcomes, but most patients with MCC develop resistance. We identified T cell receptor (TCR)MCC1, a highly avid, HLA-A*02:01-restricted TCR targeting the Merkel cell polyomavirus (MCPyV) oncoprotein large-T antigen15-23. Seven patients with ICI-refractory metastatic MCPyV+ MCC received TCRMCC1-transduced cells (TTCR-MCC1 cells) after lymphodepleting chemotherapy or HLA-enhancing interventions [radiation or interferon gamma-1b (Actimmune)], with concurrent ICIs (NCT03747484). TTCR-MCC1 cells trafficked to tumor sites and expressed a gene expression profile compatible with T cell activation, with tumor regression observed in two patients. However, therapeutic activity was limited by HLA class I silencing, a common mechanism of immune escape in MCC. In one patient, delayed tumor regression coincided with endogenous effector immune activation and restoration of MCC HLA expression, implying that robust local responses could reverse HLA silencing. To overcome this barrier, we engineered CD4 and CD8 TTCR-MCC1 cells to coexpress CD8αβ and a CD200R-CD28 switch receptor, enabling CD4 T cell engagement and T cell costimulation. These modifications enhanced tumor infiltration, increased HLA expression, and improved control of HLAlow MCC in vivo in mice. These findings support the feasibility of TCR-engineered cell therapy for MCPyV+ MCC and provide a blueprint for overcoming immune evasion via targeted localized enhancement of antigen presentation.

Author Info: (1) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (2) Translational Science and Therapeutics Division, Fred Hutchinson Can

Author Info: (1) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (2) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (3) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (4) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (5) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (6) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (7) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (8) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. (9) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (10) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (11) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (12) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (13) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (14) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (15) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (16) Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (17) Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (18) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (19) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (20) Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195, USA. Ben Towne Center for Childhood Cancer and Blood Disorders Research, Seattle Children's Research Institute, Seattle, WA 98105, USA. (21) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. (22) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (23) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (24) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Global Health, University of Washington School of Medicine, Seattle, WA 98195, USA. Benaroya Research Institute, Seattle, WA 98101, USA. (25) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (26) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (27) Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (28) Shared Resources, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (29) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (30) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Immunology, University of Washington School of Medicine, Seattle, WA 98195, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA. (31) Biomedical Data Science Center, Centre Hospitalier Universitaire Vaudois, 1010 Lausanne, Switzerland. University of Lausanne, 1015 Lausanne, Switzerland. School of Life Sciences, EPFL, 1015 Lausanne, Switzerland. (32) Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195, USA. Ben Towne Center for Childhood Cancer and Blood Disorders Research, Seattle Children's Research Institute, Seattle, WA 98105, USA. (33) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Dermatology, University of Washington School of Medicine, Seattle, WA 98195, USA. (34) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA.

Citation: Sci Transl Med 2026 Sep 9 18:eaea8773 Epub09/09/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42715345

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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

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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

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Enfortumab vedotin induces immunogenic cell death and shows enhanced preclinical antitumor activity when combined with a PD-1 inhibitor Featured  

(1) Olson DJ (2) Liu BA (3) Younan P (4) Blahnik-Fagan G (5) Stacey RG (6) Gosink J (7) Snead K (8) Tenn E (9) Hensley K (10) Sahetya D (11) Nesterova A (12) Zaval M (13) Cao A (14) O'Day C (15) Heiser RA (16) Lewis TS (17) Gardai SJ (18) Nakazawa T (19) Shimazaki M (20) Carosino C (21) Szeto GL (22) Sandall S

Cell reports. Medicine

Untangling the mechanism of enfortumab vedotin – an antibody–drug conjugate that targets Nectin-4 on cancer cells – Olson and Liu et al. showed that upon target binding, the drug is imported into the cell and transported to the lysosome, where MMAE is released, inducing direct cytotoxicity by disrupting microtubule formation and inducing ER stress and immunogenic cell death (ICD). Upon ICD, MMAE is released from the cell, killing nearby bystander cells. ICD also induces macrophage and DC activation, initiating protective antitumor immunity against both Nectin-4+ and Nectin-4- tumor cells. Enfortuman vedotin also synergized with anti-PD-1.

(1) Olson DJ (2) Liu BA (3) Younan P (4) Blahnik-Fagan G (5) Stacey RG (6) Gosink J (7) Snead K (8) Tenn E (9) Hensley K (10) Sahetya D (11) Nesterova A (12) Zaval M (13) Cao A (14) O'Day C (15) Heiser RA (16) Lewis TS (17) Gardai SJ (18) Nakazawa T (19) Shimazaki M (20) Carosino C (21) Szeto GL (22) Sandall S

Cell reports. Medicine

Untangling the mechanism of enfortumab vedotin – an antibody–drug conjugate that targets Nectin-4 on cancer cells – Olson and Liu et al. showed that upon target binding, the drug is imported into the cell and transported to the lysosome, where MMAE is released, inducing direct cytotoxicity by disrupting microtubule formation and inducing ER stress and immunogenic cell death (ICD). Upon ICD, MMAE is released from the cell, killing nearby bystander cells. ICD also induces macrophage and DC activation, initiating protective antitumor immunity against both Nectin-4+ and Nectin-4- tumor cells. Enfortuman vedotin also synergized with anti-PD-1.

ABSTRACT: Enfortumab vedotin is a Nectin-4-directed antibody-drug conjugate designed to deliver the microtubule-disrupting agent monomethyl auristatin E (MMAE) to tumor cells. Using preclinical models of urothelial cancer (UC), we expand the understanding of the multifaceted mechanism of action for enfortumab vedotin that includes direct cytotoxicity on Nectin-4-positive tumor cells, indirect bystander effect on neighboring Nectin-4-negative tumor cells, and MMAE-mediated induction of immunogenic cell death (ICD) and associated increase in activated immune cells in the tumor microenvironment. Importantly, vaccination with enfortumab vedotin-treated tumor cells results in protection against tumor rechallenge in mice, consistent with antitumor immunity. MMAE-mediated ICD induction modulates the tumor microenvironment in a complementary manner to immune checkpoint inhibition. Accordingly, enfortumab vedotin plus PD-1 inhibitor shows enhanced antitumor activity in vivo. These preclinical findings provide mechanistic hypotheses that may be relevant to the improved clinical outcomes observed for enfortumab vedotin plus pembrolizumab relative to chemotherapy.

Author Info: (1) Pfizer, Inc., Bothell, WA 98021, USA. (2) Pfizer, Inc., Bothell, WA 98021, USA. (3) Seagen, Inc., Bothell, WA 98021, USA. (4) Pfizer, Inc., Bothell, WA 98021, USA. (5) Pfizer,

Author Info: (1) Pfizer, Inc., Bothell, WA 98021, USA. (2) Pfizer, Inc., Bothell, WA 98021, USA. (3) Seagen, Inc., Bothell, WA 98021, USA. (4) Pfizer, Inc., Bothell, WA 98021, USA. (5) Pfizer, Inc., Bothell, WA 98021, USA. (6) Pfizer, Inc., Bothell, WA 98021, USA. (7) Pfizer, Inc., Bothell, WA 98021, USA. (8) Seagen, Inc., Bothell, WA 98021, USA. (9) Pfizer, Inc., Bothell, WA 98021, USA. (10) Pfizer, Inc., Bothell, WA 98021, USA. (11) Pfizer, Inc., Bothell, WA 98021, USA. (12) Seagen, Inc., Bothell, WA 98021, USA. (13) Seagen, Inc., Bothell, WA 98021, USA. (14) Pfizer, Inc., Bothell, WA 98021, USA. (15) Pfizer, Inc., Bothell, WA 98021, USA. (16) Seagen, Inc., Bothell, WA 98021, USA. (17) Seagen, Inc., Bothell, WA 98021, USA. (18) Astellas Pharma Inc., Tsukuba, Ibaraki, Japan. (19) Astellas Research Institute of America LLC, Northbrook, IL 60062, USA. (20) Pfizer, Inc., Bothell, WA 98021, USA. (21) Pfizer, Inc., Bothell, WA 98021, USA. (22) Pfizer, Inc., Bothell, WA 98021, USA. Electronic address: sharsti.sandall@pfizer.com.

Citation: Cell Rep Med 2026 Sep 2 103021 Epub09/02/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42685702

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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

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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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UV irradiation drives lineage-specific MITF-mediated transcription of PD-L1 to confer immune tolerance to UV-mutated melanocytes Featured  

(1) Lo JA (2) Rachmin I (3) Flesher JL (4) Wu X (5) Kawakami A (6) Hejna M (7) Boozer JR (8) Nguyen N (9) King AD (10) Ji Y (11) Germana S (12) Kemeny LV (13) van der Sande AAJ (14) Cheng JB (15) Lotem M (16) Utne TR (17) Zhan Y (18) Roider EM (19) Mujahid N (20) Byrne EH (21) Singh S (22) Saidani M (23) Martineau S (24) Holic N (25) Baldeschi C (26) Martinat C (27) Freeman GJ (28) Hacohen N (29) Flaherty KT (30) Boland GM (31) Song JS (32) Sharpe AH (33) Demehri S (34) Yee C (35) Allouche J (36) Fisher DE

Immunity

Lo et al. found that in melanocytes, MITF mediates upregulation of PD-L1 by binding to an enhancer, inducing high baseline PD-L1 that is further upregulated upon exposure to UVR. This mechanism has a tolerogenic effect, protecting melanocytes from immune-mediated elimination, even after the accumulation of UV-induced mutations. While this mechanism did not appear to play a major role in immune-hot melanomas with high IFNγ expression, it did show an effect in less infiltrated melanomas, and could contribute to their development.

(1) Lo JA (2) Rachmin I (3) Flesher JL (4) Wu X (5) Kawakami A (6) Hejna M (7) Boozer JR (8) Nguyen N (9) King AD (10) Ji Y (11) Germana S (12) Kemeny LV (13) van der Sande AAJ (14) Cheng JB (15) Lotem M (16) Utne TR (17) Zhan Y (18) Roider EM (19) Mujahid N (20) Byrne EH (21) Singh S (22) Saidani M (23) Martineau S (24) Holic N (25) Baldeschi C (26) Martinat C (27) Freeman GJ (28) Hacohen N (29) Flaherty KT (30) Boland GM (31) Song JS (32) Sharpe AH (33) Demehri S (34) Yee C (35) Allouche J (36) Fisher DE

Immunity

Lo et al. found that in melanocytes, MITF mediates upregulation of PD-L1 by binding to an enhancer, inducing high baseline PD-L1 that is further upregulated upon exposure to UVR. This mechanism has a tolerogenic effect, protecting melanocytes from immune-mediated elimination, even after the accumulation of UV-induced mutations. While this mechanism did not appear to play a major role in immune-hot melanomas with high IFNγ expression, it did show an effect in less infiltrated melanomas, and could contribute to their development.

ABSTRACT: UV radiation (UVR) drives high mutational burdens, yet precursor melanocytes accumulate these mutations without triggering immune clearance. Here, we investigated whether melanocyte-intrinsic transcriptional program(s) underlie immune tolerance to mutations resulting from UVR exposure. In primary human melanocytes, expression of PD-L1 (CD274) was dependent on microphthalmia-associated transcription factor (MITF), a crucial regulator of melanocyte development and an intermediate in the UV-tanning pathway. MITF directly activated PD-L1 transcription by binding a conserved upstream enhancer containing functional E-box elements. MITF determined both baseline melanocytic PD-L1 expression in healthy skin and its induction following UVR, independent of interferon signaling. Melanocyte-restricted Pd-l1 deletion in mice triggered CD8(+) T cell infiltration and depigmentation after long-term UVB exposure, recapitulating features of human vitiligo. PD-L1-deficient human induced pluripotent stem cell (iPSC)-derived melanocytes underwent increased apoptosis and were more susceptible than PD-L1-intact melanocytes to gp100-specific CD8(+) T cell killing. Thus, a melanocyte-intrinsic MITF-PD-L1 tolerance program protects melanocytes from autoimmune destruction, potentially facilitating early immune evasion during melanoma development and conversely underlying the responsiveness of melanoma to PD-1/PD-L1 blockade.

Author Info: (1) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Dermatology, Beth

Author Info: (1) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Dermatology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. (2) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (3) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (4) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (5) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Dermatology, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto 606-8507, Japan. (6) Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA. (7) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (8) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (9) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (10) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Stomatology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, Shandong, China. (11) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (12) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; HCEMM-SU Translational Dermatology Research Group, Semmelweis University, Budapest 1085, Hungary; Department of Physiology, Faculty of Medicine, Semmelweis University, Budapest 1094, Hungary; Department of Dermatology, Venereology and Dermatooncology, Faculty of Medicine, Semmelweis University, Budapest 1085, Hungary; MTA-SE LendŸlet "Momentum" Dermatology Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest 1085, Hungary. (13) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (14) Department of Dermatology, University of California, San Francisco, San Francisco, CA 94143, USA; Dermatology Service, San Francisco Veterans Administration Health Care System, San Francisco, CA 94121, USA. (15) Lautenberg Center for Immunology and Cancer Research, The Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel; Center for Melanoma and Cancer Immunotherapy, Sharett Institute of Oncology, Jerusalem 91120, Israel; Hadassah Cancer Research Institute, Hadassah Hebrew University Medical Center, Jerusalem 91120, Israel. (16) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (17) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (18) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Dermatology, University Hospital of Basel, 4031 Basel, Switzerland. (19) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; Department of Dermatology, University of Utah, Salt Lake City, UT 84132, USA. (20) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (21) Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (22) IStem, CECS, Corbeil-Essonnes 91100, France. (23) UniversitŽ Paris-Saclay, UniversitŽ d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes 91100, France. (24) UniversitŽ Paris-Saclay, UniversitŽ d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes 91100, France. (25) UniversitŽ Paris-Saclay, UniversitŽ d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes 91100, France. (26) UniversitŽ Paris-Saclay, UniversitŽ d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes 91100, France. (27) Department of Medical Oncology, Dana-Farber Cancer Institute, Department of Medicine, Harvard Medical School, Boston, MA 02215, USA. (28) Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02142, USA. (29) Mass General Brigham Cancer Institute, Boston, MA 02114, USA. (30) Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA; Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02114, USA. (31) Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA. (32) Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02115, USA. (33) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. (34) Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Parker Institute of Cancer Immunotherapy, San Francisco, CA 94129, USA. (35) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA; UniversitŽ Paris-Saclay, UniversitŽ d'Evry, Inserm, IStem, UMR861, Corbeil-Essonnes 91100, France. Electronic address: jeallouche@gmail.com. (36) Cutaneous Biology Research Center, Department of Dermatology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA. Electronic address: dfisher3@mgh.harvard.edu.

Citation: Immunity 2026 Aug 13 Epub08/13/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42594873

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Spatial biology reveals altered macrophage states in immunosuppressed non-melanoma skin cancer Spotlight 

(1) Naara S (2) Kochat V (3) Rao X (4) Arslan E (5) Saddawi-Konefka R (6) Satpati S (7) Garbarino J (8) Anderson JL (9) Gleber-Netto FO (10) Nagarajan P (11) Kerr TD (12) Akhter S (13) Li S (14) Fodor R (15) Koyfman SA (16) Yaniv D (17) Xie T (18) Glaun M (19) Bobian M (20) Padron WI (21) Ng C (22) Gunaratne PH (23) Thevasagayampillai S (24) Migden MR (25) Abbas HA (26) Reville PK (27) Tsai KY (28) McGrail DJ (29) Wang J (30) Myers JN (31) Gross ND (32) Rai K (33) Amit M

Cell

Naara, Kochat, and Rao et al. compared the TIMEs of immunocompetent non-melanoma skin cancer (NMSC) patients and systemically immunosuppressed (IS) patients (organ transplant recipients or hematological cancer) who had reduced survival. Spatial multiomics revealed immunosuppression did not correlate with overall immune cell abundance, but with decreased numbers of intratumoral CD68+ macrophages, decreased T cell repertoire diversity, altered APC distribution, function, and cell–cell interactions, and distinct fibroblast-rich niches. Specific TIME niches showed distinct epigenetic regulation of transcription factors linked to poor immune function in IS patients.

Contributed by Katherine Turner

(1) Naara S (2) Kochat V (3) Rao X (4) Arslan E (5) Saddawi-Konefka R (6) Satpati S (7) Garbarino J (8) Anderson JL (9) Gleber-Netto FO (10) Nagarajan P (11) Kerr TD (12) Akhter S (13) Li S (14) Fodor R (15) Koyfman SA (16) Yaniv D (17) Xie T (18) Glaun M (19) Bobian M (20) Padron WI (21) Ng C (22) Gunaratne PH (23) Thevasagayampillai S (24) Migden MR (25) Abbas HA (26) Reville PK (27) Tsai KY (28) McGrail DJ (29) Wang J (30) Myers JN (31) Gross ND (32) Rai K (33) Amit M

Cell

Naara, Kochat, and Rao et al. compared the TIMEs of immunocompetent non-melanoma skin cancer (NMSC) patients and systemically immunosuppressed (IS) patients (organ transplant recipients or hematological cancer) who had reduced survival. Spatial multiomics revealed immunosuppression did not correlate with overall immune cell abundance, but with decreased numbers of intratumoral CD68+ macrophages, decreased T cell repertoire diversity, altered APC distribution, function, and cell–cell interactions, and distinct fibroblast-rich niches. Specific TIME niches showed distinct epigenetic regulation of transcription factors linked to poor immune function in IS patients.

Contributed by Katherine Turner

ABSTRACT: Immunosuppressed patients with non-melanoma skin cancer experience worse clinical outcomes, yet the tumor immune microenvironment associated with systemic immunosuppression remains incompletely defined. Using integrated single-cell, spatial transcriptomic, multiplex immunofluorescence, and spatial epigenomic profiling across immunocompetent and immunosuppressed tumors, we found that overall immune-cell composition was largely preserved despite differences in immune-cell distribution, spatial organization, and T cell clonality. Immunosuppressed tumors demonstrated reduced intratumoral macrophage densities, decreased T cell clonal diversity, altered antigen-presenting cell and T cell spatial interactions, and distinct fibroblast- and macrophage-associated spatial niches. Multi-cohort validation across complementary spatial and single-cell platforms identified consistent alterations in innate-adaptive immune organization in immunosuppressed tumors. Together, these findings define spatial and functional remodeling of the tumor immune microenvironment under systemic immunosuppression and provide a framework for future therapeutic investigation in high-risk patients.

Author Info: (1) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (2) MD Anderson Epigenomics Therapy Initiative, Department of Genomic

Author Info: (1) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (2) MD Anderson Epigenomics Therapy Initiative, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (3) Department of Bioinformatics and Computational Biology, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (4) MD Anderson Epigenomics Therapy Initiative, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (5) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Otolaryngology-Head and Neck Surgery, Gleiberman Head and Neck Cancer Center, Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA. (6) MD Anderson Epigenomics Therapy Initiative, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (7) AtlasXomics, Pierce Laboratory, 290 Congress Ave, New Haven, CT, USA. (8) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (9) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: fonetto@mdanderson.org. (10) Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: pnagarajan@mdanderson.org. (11) Department of Cancer Sciences, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH, USA. (12) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (13) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (14) Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA. (15) Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA. (16) Department of Otolaryngology, Head and Neck Surgery, Rabin Medical Center, Petah Tikva, Israel. (17) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (18) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (19) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (20) MD Anderson Epigenomics Therapy Initiative, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (21) AtlasXomics, Pierce Laboratory, 290 Congress Ave, New Haven, CT, USA. (22) Department of Biology and Biochemistry, University of Houston Sequencing Core, University of Houston, Houston, TX, USA; Department of Molecular and Cellular Biology, Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX , USA. (23) Department of Biology and Biochemistry, University of Houston Sequencing Core, University of Houston, Houston, TX, USA; Department of Molecular and Cellular Biology, Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX , USA. (24) Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: mrmigden@mdanderson.org. (25) Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (26) Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (27) Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. (28) Department of Cancer Sciences, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH, USA. Electronic address: mcgraid@ccf.org. (29) Department of Bioinformatics and Computational Biology, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (30) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (31) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. (32) MD Anderson Epigenomics Therapy Initiative, Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: krai@mdanderson.org. (33) Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; UTHealth Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Cancer Neuroscience Program, UT MD Anderson Cancer Center, Houston, TX, USA. Electronic address: mamit@mdanderson.org.

Citation: Cell 2026 Aug 5 Epub08/05/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42556334

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Dendritic cell circadian clocks shape memory CD8+ T cell differentiation

Spotlight 

(1) Vleeshouwers W (2) van Duikeren S (3) de Graaf JF (4) Veerkamp DMB (5) Linger ME (6) Jorritsma SHT (7) Myeni SK (8) Kervezee L (9) Arens R

Science advances | Free PMC Article

Vleeshouwers et al. showed that the time of antigen encounter determines the differentiation of antigen-specific CD8+ T cells and antiviral immunity. In mice vaccinated with mRNA-1273, active-phase (dark period for mice [nocturnal]) immunization favored progenitor-like memory CD8+ T cells and enhanced T cell-mediated protection against SARS-CoV-2 infection, whereas resting-phase vaccination skewed toward effector-memory phenotypes. The molecular circadian clock in DCs, rather than in CD8+ T cells, regulated time-of-day-dependent CD8+ T cell differentiation and function through CD70–CD27 costimulatory signaling, independent of CD28.

Contributed by Shishir Pant

(1) Vleeshouwers W (2) van Duikeren S (3) de Graaf JF (4) Veerkamp DMB (5) Linger ME (6) Jorritsma SHT (7) Myeni SK (8) Kervezee L (9) Arens R

Science advances | Free PMC Article

Vleeshouwers et al. showed that the time of antigen encounter determines the differentiation of antigen-specific CD8+ T cells and antiviral immunity. In mice vaccinated with mRNA-1273, active-phase (dark period for mice [nocturnal]) immunization favored progenitor-like memory CD8+ T cells and enhanced T cell-mediated protection against SARS-CoV-2 infection, whereas resting-phase vaccination skewed toward effector-memory phenotypes. The molecular circadian clock in DCs, rather than in CD8+ T cells, regulated time-of-day-dependent CD8+ T cell differentiation and function through CD70–CD27 costimulatory signaling, independent of CD28.

Contributed by Shishir Pant

ABSTRACT: Circadian rhythms regulate diverse immune processes, yet how they influence memory CD8(+) T cell differentiation remains unclear. Here, we show that the time of day of antigen encounter shapes CD8(+) T cell fate and antiviral immunity. Immunization during the active phase promotes the generation of progenitor-like memory CD8(+) T cells and enhances T cell-mediated protection upon viral challenge. Mechanistically, dendritic cell-intrinsic circadian clocks regulate expression of the costimulatory ligand CD70, thereby directing T cell differentiation. These findings uncover a dendritic cell-mediated circadian mechanism that governs memory T cell fate decisions and suggest that aligning immune priming with circadian time may be leveraged to optimize T cell immunity.

Author Info: (1) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (2) Department of Immunology, Leiden University Medical Center, Alb

Author Info: (1) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (2) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (3) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (4) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (5) Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (6) Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (7) Leiden University Center for Infectious Diseases, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands. (8) Department of Cell and Chemical Biology, Leiden University Medical Center, Einthovenweg 20, 2333 ZC Leiden, The Netherlands. (9) Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.

Citation: Sci Adv 2026 Jul 31 12:eaeh3719 Epub07/31/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42536728

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