Tryptophan degradation by intestinal Bacteroides induces anti-tumor immunity and limits melanoma growth
(1) Olea XD (2) Beede K (3) Pereira G (4) Scott D (5) Petucci C (6) Martens E (7) Rodionov D (8) Shah A (9) Martinez MP (10) Kim H (11) Sharma AK (12) Martin A (13) Zhang T (14) Faries MB (15) Hamid O (16) Devkota S (17) Osterman A (18) Knott S (19) Voest EE (20) Ajami NJ (21) Wargo J (22) Ramer-Tait AE (23) Ronai ZA
Epigenetic landscape, key transcriptional regulators, and in vivo identification of human Tr1 cells
(1) Cepika AM (2) Amaya L (3) Waichler C (4) Narula M (5) Mantilla M (6) Thomas BC (7) Chen PP (8) Freeborn RA (9) Pavel-Dinu M (10) Nideffer J (11) Porteus M (12) Bacchetta R (13) Mller F (14) Greenleaf WJ (15) Chang HY (16) Roncarolo MG
(1) Cepika AM (2) Amaya L (3) Waichler C (4) Narula M (5) Mantilla M (6) Thomas BC (7) Chen PP (8) Freeborn RA (9) Pavel-Dinu M (10) Nideffer J (11) Porteus M (12) Bacchetta R (13) Mller F (14) Greenleaf WJ (15) Chang HY (16) Roncarolo MG
Author Info: (1) Division of General Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA. Division of Hematology, Oncology, Stem Cell Transplantation and R

Author Info: (1) Division of General Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA. Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Center for Definitive and Curative Medicine, Stanford University School of Medicine, Stanford, CA, USA. (2) Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA. Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA. (3) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (4) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (5) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (6) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (7) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (8) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (9) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Division of Immunology, Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA. (10) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA. (11) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Center for Definitive and Curative Medicine, Stanford University School of Medicine, Stanford, CA, USA. Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA. (12) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Center for Definitive and Curative Medicine, Stanford University School of Medicine, Stanford, CA, USA. Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA. (13) Integrative Cellular Biology and Bioinformatics, Saarland University, Saarbrcken, Germany. Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. (14) Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. (15) Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA. Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. Center for Personal Dynamic Regulome, Stanford University School of Medicine, Stanford, CA, USA. Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA. (16) Division of Hematology, Oncology, Stem Cell Transplantation and Regenerative Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. Center for Definitive and Curative Medicine, Stanford University School of Medicine, Stanford, CA, USA. Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Citation: Sci Adv 2026 Jul 10 12:eaec6358 Epub07/10/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42430483
The CARM1 epigenetic enzyme inhibits cross-presenting dendritic cell function in cancer immunity
(1) Zhang X (2) Xirenayi S (3) Zhao Y (4) Wang W (5) Han Y (6) Sobral M (7) Kang S (8) Zhang C (9) Barlow GL (10) Pyrdol J (11) Cho JW (12) Huang K (13) Ning X (14) Hemberg M (15) Yuan GC (16) Van Allen EM (17) Mooney DJ (18) Wucherpfennig KW
(1) Zhang X (2) Xirenayi S (3) Zhao Y (4) Wang W (5) Han Y (6) Sobral M (7) Kang S (8) Zhang C (9) Barlow GL (10) Pyrdol J (11) Cho JW (12) Huang K (13) Ning X (14) Hemberg M (15) Yuan GC (16) Van Allen EM (17) Mooney DJ (18) Wucherpfennig KW
Author Info: (1) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. (2) Department o

Author Info: (1) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. (2) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Broad Institute of Harvard and MIT, Cambridge, MA, USA. Systems, Synthetic, and Quantitative Biology Graduate Program, Harvard University, Cambridge, MA, USA. (3) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. (4) Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (5) Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. (6) Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. (7) Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. (8) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. (9) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. (10) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. (11) Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. (12) Molecular Imaging Core, Dana-Farber Cancer Institute, Boston, MA, USA. (13) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. (14) Broad Institute of Harvard and MIT, Cambridge, MA, USA. Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. (15) Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Tisch Cancer Institute, Black Family Stem Cell Institute, Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. (16) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Broad Institute of Harvard and MIT, Cambridge, MA, USA. Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA, USA. (17) Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. (18) Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Immunology, Harvard Medical School, Boston, MA, USA. Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA.

Citation: Science 2026 Jul 9 393:eaea1200 Epub07/09/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42424445
Generalizable AI predicts immunotherapy outcomes across cancers and treatments
(1) Shen W (2) Moon I (3) Nguyen TH (4) Li MM (5) Huang Y (6) Nair N (7) Marbach D (8) Zitnik M
(1) Shen W (2) Moon I (3) Nguyen TH (4) Li MM (5) Huang Y (6) Nair N (7) Marbach D (8) Zitnik M
Author Info: (1) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China. (2) Department of Biome

Author Info: (1) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China. (2) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. (3) Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. (4) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. (5) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. (6) Roche Pharma Research and Early Development, Oncology Early Clinical Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland. (7) Computational Sciences Center of Excellence, F. Hoffmann-La Roche Ltd., Basel, Switzerland. daniel.marbach.dm1@roche.com. (8) Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. marinka@hms.harvard.edu. Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA. marinka@hms.harvard.edu. Broad Institute of MIT and Harvard, Cambridge, MA, USA. marinka@hms.harvard.edu. Harvard Data Science Initiative, Cambridge, MA, USA. marinka@hms.harvard.edu.

Citation: Nat Med 2026 Jul 3 Epub07/03/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42399673
Single-cell transcriptomic analysis reveals tumor-immune determinants of lymph node colonization and progression in thyroid cancer Spotlight
(1) Nguyen AT (2) Viramontes J (3) Vazquez I (4) McWilliam C (5) Devarakonda V (6) Henson R (7) Sacks WL (8) Mallen-St Clair J (9) Chen Y (10) Walgama E (11) Scher KS (12) Moyers J (13) Sandler HM (14) Jang JK (15) Zumsteg ZS (16) Shon W (17) Shiao SL (18) Ho AS
Nguyen et al. used single-cell RNAseq and multiplex IHC on paired primary thyroid carcinomas and metastatic lymph nodes (LNs) to define immune determinants of nodal colonization. In metastatic LNs, thyrocytes and TAMs downregulated inflammatory cytokine receptors. including TNFRSF12A and CX3CR1, and were enriched for Tregs relative to matched primary tumors, which suggests suppression of T cell-mediated cytotoxicity. Tumor-infiltrating lymphocytes in metastatic LNs showed increased IL7R expression, and high IL7R levels within nodal metastases correlated with enhanced immune activation and improved progression-free survival in a validation cohort.
Contributed by Shishir Pant
(1) Nguyen AT (2) Viramontes J (3) Vazquez I (4) McWilliam C (5) Devarakonda V (6) Henson R (7) Sacks WL (8) Mallen-St Clair J (9) Chen Y (10) Walgama E (11) Scher KS (12) Moyers J (13) Sandler HM (14) Jang JK (15) Zumsteg ZS (16) Shon W (17) Shiao SL (18) Ho AS
Nguyen et al. used single-cell RNAseq and multiplex IHC on paired primary thyroid carcinomas and metastatic lymph nodes (LNs) to define immune determinants of nodal colonization. In metastatic LNs, thyrocytes and TAMs downregulated inflammatory cytokine receptors. including TNFRSF12A and CX3CR1, and were enriched for Tregs relative to matched primary tumors, which suggests suppression of T cell-mediated cytotoxicity. Tumor-infiltrating lymphocytes in metastatic LNs showed increased IL7R expression, and high IL7R levels within nodal metastases correlated with enhanced immune activation and improved progression-free survival in a validation cohort.
Contributed by Shishir Pant
ABSTRACT: Lymph node (LN) metastases are a major driver of mortality across solid cancers, including thyroid carcinomas, which are known for high rates of nodal colonization. To elucidate the determinants of nodal spread, we isolated tumor-infiltrating leukocytes from primary thyroid tumors and matched metastatic LNs for single-cell RNA sequencing with validation by multiplex immunohistochemistry. Comparing the microenvironmental alterations between primary tumors and their LNs, we found that thyrocytes and tumor-associated macrophages down-regulate the expression of multiple inflammatory cytokine receptors, including TNFRSF12A and CX3CR1, upon LN colonization. LNs were associated with the induction of regulatory T cells to suppress T cell-mediated cytotoxicity compared to matched primary tumors. Notably, tumor-infiltrating lymphocytes within LNs demonstrated increased expression of activation markers, including interleukin-7 receptor (IL7R). High LN expression of IL7R was significantly correlated with improved outcomes and can serve as a biomarker in this heterogeneous disease. Our findings on the dynamic equilibrium within LN metastases may offer conserved mechanisms for nodal colonization across solid tumors.
Author Info: (1) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA,

Author Info: (1) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (2) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (3) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (4) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (5) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (6) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (7) Division of Endocrinology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (8) Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (9) Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (10) Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (11) Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (12) Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (13) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (14) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (15) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (16) Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (17) Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. (18) Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Citation: Sci Adv 2026 Jul 3 12:eaea4727 Epub07/03/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42397917
Sustained A2AR expression and loss paradoxically promote CD8+ T cell exhaustion
Spotlight(1) Song L (2) Kharel A (3) Xie P (4) Fan J (5) Baker A (6) Zhang Y (7) Zhang Y (8) Cui W (9) Zhang B
Using single-cell multiomics and genetic models, Song and Kharel et al. showed that, paradoxically, both sustained A2AR expression under chronic antigen exposure and hypoxia, and complete loss of A2AR drive the transition of TCFhi memory-like progenitor (Tpro) cells to exhausted T cells. A2AR expression was rapidly induced upon TCR stimulation and was required to sustain CD8+ T cell functions. Persistent A2AR expression promoted continuous TCR engagement and CD8+ T cell exhaustion via activation of the GαS-cAMP-PKA pathway. A2AR depletion led to epigenetic remodeling and activation of CD122 (IL-2Rβ)-dependent signaling, driving exhaustion.
Contributed by Ute Burkhardt
(1) Song L (2) Kharel A (3) Xie P (4) Fan J (5) Baker A (6) Zhang Y (7) Zhang Y (8) Cui W (9) Zhang B
Using single-cell multiomics and genetic models, Song and Kharel et al. showed that, paradoxically, both sustained A2AR expression under chronic antigen exposure and hypoxia, and complete loss of A2AR drive the transition of TCFhi memory-like progenitor (Tpro) cells to exhausted T cells. A2AR expression was rapidly induced upon TCR stimulation and was required to sustain CD8+ T cell functions. Persistent A2AR expression promoted continuous TCR engagement and CD8+ T cell exhaustion via activation of the GαS-cAMP-PKA pathway. A2AR depletion led to epigenetic remodeling and activation of CD122 (IL-2Rβ)-dependent signaling, driving exhaustion.
Contributed by Ute Burkhardt
ABSTRACT: Although A2AR is a key immunoregulatory receptor that suppresses CD8(+) T cell activation in response to elevated extracellular adenosine in inflamed or hypoxic microenvironments, its role in CD8(+) T cell differentiation and cell-fate decisions during chronic viral infection and cancer remains poorly understood. Using A2AR-eGFP reporter mice, we show that A2AR expression is rapidly induced by TCR stimulation and persists under chronic antigen exposure and hypoxia, with sustained expression strongly associated with terminal exhaustion via the canonical G_(s)-cAMP-PKA pathway. Paradoxically, A2AR loss does not alleviate exhaustion but instead accelerates differentiation toward the terminally exhausted state. Single-cell multiomics profiling revealed that A2AR deficiency activates CD122 (IL-2R_)-dependent signaling, driving T cell exhaustion. Genetic deletion of CD122 in A2AR-deficient CD8(+) T cells reduced terminal exhaustion, identifying CD122 signaling as a key mediator of A2AR loss-driven exhaustion. Intriguingly, both sustained A2AR expression and A2AR loss converge to promote T cell exhaustion differentiation through distinct mechanisms. These findings uncover a paradoxical role of A2AR in shaping CD8(+) T cell fate choices during chronic infection and cancer.
Author Info: (1) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611.

Author Info: (1) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611. ROR: https://ror.org/02p4far57 (2) Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611. (3) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611. ROR: https://ror.org/02p4far57 (4) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611. ROR: https://ror.org/02p4far57 (5) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611. ROR: https://ror.org/02p4far57 (6) Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611. (7) Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China. ROR: https://ror.org/056swr059 (8) Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611. (9) Department of Medicine and Hematology and Oncology Division, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine Chicago, IL 60611. ROR: https://ror.org/02p4far57

Citation: Proc Natl Acad Sci U S A 2026 Jul 7 123:e2602385123 Epub06/30/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42378284
RIG-I-targeted immunotherapy synergizes with immune checkpoint inhibition in a hepatocellular carcinoma model Spotlight
(1) Marx C (2) Teppert J (3) Marisch L (4) Formisano S (5) Senz A (6) Boehmer DFR (7) Metzger P (8) Kechur D (9) Delius L (10) Hoerth C (11) Lauber K (12) Mayr D (13) De Toni EN (14) Helms MW (15) Brunner B (16) Endres S (17) Schnurr M (18) Duewell P (19) Rothenfusser S (20) Koenig LM
Marx, Teppert, and Marisch et al. showed retinoic acid-inducible gene-I (RIG-I), the cytoplasmic sensor of short dsRNA with uncapped 5’-triphosphate (3p-RNA), was expressed in human HCC samples and induced by IFN-I on cell lines. 3p-RNA treatment given i.v. reduced tumor burden in murine orthotopic tumor models and induced immune memory. Therapeutic effects depended on CD4+ and CD8+ T, but not NK cells, and on tumor-intrinsic Fas expression, but not systemic intracellular RIG-I pathway signaling. Treatment with 3p-RNA upregulated PD-L1 expression on HCC cells and synergized with anti-PD-1 to improve efficacy in HCC mouse models.
Contributed by Paula Hochman
(1) Marx C (2) Teppert J (3) Marisch L (4) Formisano S (5) Senz A (6) Boehmer DFR (7) Metzger P (8) Kechur D (9) Delius L (10) Hoerth C (11) Lauber K (12) Mayr D (13) De Toni EN (14) Helms MW (15) Brunner B (16) Endres S (17) Schnurr M (18) Duewell P (19) Rothenfusser S (20) Koenig LM
Marx, Teppert, and Marisch et al. showed retinoic acid-inducible gene-I (RIG-I), the cytoplasmic sensor of short dsRNA with uncapped 5’-triphosphate (3p-RNA), was expressed in human HCC samples and induced by IFN-I on cell lines. 3p-RNA treatment given i.v. reduced tumor burden in murine orthotopic tumor models and induced immune memory. Therapeutic effects depended on CD4+ and CD8+ T, but not NK cells, and on tumor-intrinsic Fas expression, but not systemic intracellular RIG-I pathway signaling. Treatment with 3p-RNA upregulated PD-L1 expression on HCC cells and synergized with anti-PD-1 to improve efficacy in HCC mouse models.
Contributed by Paula Hochman
ABSTRACT: Retinoic acid-inducible gene-I (RIG-I) is a cytoplasmic pattern recognition receptor that senses short double-stranded RNA with uncapped 5'-triphosphate (3p-RNA). Upon activation, RIG-I induces type I interferons and proinflammatory cytokines, thereby promoting adaptive immunity. Thus, RIG-I activation is a promising approach for creating a proinflammatory tumor microenvironment. In this study, we investigated its therapeutic potential in hepatocellular carcinoma (HCC). We explored and confirmed RIG-I expression and signaling in human HCC samples and cell lines. The therapeutic potential of RIG-I activation by 3p-RNA for the treatment of HCC was investigated in vitro and in syngeneic murine orthotopic tumor models. In vivo, 3p-RNA treatment significantly reduced the tumor burden, delayed disease progression, and achieved partial complete remission of RIL-175 tumors with durable immune memory. However, no therapeutic effects were observed in the Hep-55.1C model. Tumor clearance depended on CD4⁺ and CD8⁺ T cells, but not NK cells. Additionally, 3p-RNA induced PD-L1 expression on HCC cells, enhancing their sensitivity to anti-PD-1 immune checkpoint therapy in vivo. RIG-I activation via 3p-RNA therapy shows promise as an immunotherapeutic strategy for hepatocellular carcinoma (HCC). Future investigations need to focus on tumor-intrinsic factors to understand heterogeneity between tumors and to overcome resistance mechanisms.
Author Info: (1) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (2) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (3) LMU Klinikum Munich Germany. ROR: https://ror.or

Author Info: (1) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (2) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (3) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (4) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (5) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (6) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (7) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (8) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (9) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (10) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (11) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (12) Ludwig-Maximilians-Universitt Mnchen Munich, Bavaria Germany. ROR: https://ror.org/05591te55 (13) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (14) Sanofi (Germany) Frankfurt Germany. ROR: https://ror.org/03ytdtb31 (15) Sanofi (Germany) Frankfurt Germany. ROR: https://ror.org/03ytdtb31 (16) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (17) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (18) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (19) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32 (20) LMU Klinikum Munich Germany. ROR: https://ror.org/02jet3w32

Citation: Mol Cancer Ther 2026 Jun 25 Epub06/25/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42345470
CDK4/6 inhibition enhances CAR-T cell therapy in solid tumors Spotlight
(1) Lelliott EJ (2) Naddaf J (3) Lu KH (4) Cummins KD (5) Ramsbottom KM (6) Reynolds DS (7) Taylor M (8) Ambani K (9) Munoz I (10) Jackson S (11) Li J (12) Chan CW (13) Britt KL (14) Beavis PA (15) Goel S (16) Oliaro J
Lelliott et al. showed that the CDK4/6 inhibitor trilaciclib enhanced the metabolic fitness of and cytotoxicity by human CD19 CAR-T cells while reducing their proliferation in vitro. In mice with RB-proficient, trilaciclib-sensitive, CD19+ leukemia, trilaciclib plus CD19 CAR-T cell therapy was more efficacious than monotherapies. In mouse models of solid (breast, ovarian) tumors, even tumors poorly sensitive to trilaciclib alone responded better to tumor antigen-directed CAR-T cells plus trilaciclib than to the single therapies. Trilaciclib reduced suppressive Treg numbers and boosted CAR-T cell persistence, tumor trafficking, and cytotoxic function per cell in solid tumors.
Contributed by Paula Hochman
(1) Lelliott EJ (2) Naddaf J (3) Lu KH (4) Cummins KD (5) Ramsbottom KM (6) Reynolds DS (7) Taylor M (8) Ambani K (9) Munoz I (10) Jackson S (11) Li J (12) Chan CW (13) Britt KL (14) Beavis PA (15) Goel S (16) Oliaro J
Lelliott et al. showed that the CDK4/6 inhibitor trilaciclib enhanced the metabolic fitness of and cytotoxicity by human CD19 CAR-T cells while reducing their proliferation in vitro. In mice with RB-proficient, trilaciclib-sensitive, CD19+ leukemia, trilaciclib plus CD19 CAR-T cell therapy was more efficacious than monotherapies. In mouse models of solid (breast, ovarian) tumors, even tumors poorly sensitive to trilaciclib alone responded better to tumor antigen-directed CAR-T cells plus trilaciclib than to the single therapies. Trilaciclib reduced suppressive Treg numbers and boosted CAR-T cell persistence, tumor trafficking, and cytotoxic function per cell in solid tumors.
Contributed by Paula Hochman
ABSTRACT: CDK4/6 inhibitors promote anti-tumor immunity through diverse mechanisms, positioning them as promising adjuvants to cancer immunotherapies. While CDK4/6 inhibitors have demonstrated strong synergy with immune checkpoint inhibitors across numerous preclinical cancer models, their combination with CAR-T cell therapy remains unexplored. In this study, we examined the efficacy of combined CDK4/6 inhibition (trilaciclib) and CAR-T therapy across a range of preclinical blood and solid cancer models. In vitro, trilaciclib enhanced human CAR-T cell cytotoxicity and metabolic fitness while reducing expansion. In vivo, the combination outperformed single agents against retinoblastoma protein (RB)-proficient, trilaciclib-sensitive CD19+ leukemia. However, in an equivalent RB-deficient model, the combination therapy was no more effective than CAR-T cells alone, suggesting that enhanced CAR-T cell function may be offset by reduced expansion. In contrast, in solid cancer models the combination was consistently more efficacious than either monotherapy. Notably, combination effects were most pronounced in immunocompetent mouse models, including a model with poor sensitivity to trilaciclib as a monotherapy. Mechanistically, CDK4/6 inhibition reduced tumor-infiltrating T-regulatory cells while enhancing CD8+ CAR-T cell persistence, tumor trafficking, and cytotoxic function within the tumor. Together, these findings suggest that trilaciclib and CAR-T cell therapy may be an effective combinatorial treatment for solid cancers.
Author Info: (1) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VI

Author Info: (1) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: emily.lelliott@petermac.org. (2) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (3) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (4) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (5) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (6) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (7) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (8) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (9) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (10) Cancer Evolution and Metastasis Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (11) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (12) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (13) Cancer Evolution and Metastasis Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (14) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (15) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: shom.goel@petermac.org. (16) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: jane.oliaro@petermac.org.

Citation: Mol Ther 2026 Jul 1 34:4021-4034 Epub03/24/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/41883164
An in vivo CRISPR screen unveils promising target genes to improve CAR-T cell efficacy in a solid tumor model Spotlight
(1) Fumagalli M (2) An D (3) Simula L (4) Combe C (5) Aziez L (6) Simoni Y (7) Alves-Guerra MC (8) Valentini A (9) Marchais M (10) Vermare A (11) Moraly J (12) Manni S (13) Quadraccia MC (14) Quintarelli C (15) De Angelis B (16) Bercovici N (17) Donnadieu E (18) Pendino F
Fumagalli et al. developed a focused CRISPR-knockout library targeting loss-of-function of 50 relevant genes to screen low-affinity EGFR CAR-T cells in an orthotopic human lung adenocarcinoma (A549) model. In vivo screening identified ZC3H12A, SOCS1, PTPN2, and CDKN2A loss as top hits that enhanced CAR-T persistence and expansion, whereas MED12, PRDM1, or BATF loss impaired long-term efficacy. Targeted validation of ZC3H12A- and PTPN2-deficient CAR-T cells confirmed improved tumor control and survival. Gene-edited CAR-T cells showed versatility and tumor context specificity, and retained iCasp9 suicide switch activity.
Contributed by Shishir Pant
(1) Fumagalli M (2) An D (3) Simula L (4) Combe C (5) Aziez L (6) Simoni Y (7) Alves-Guerra MC (8) Valentini A (9) Marchais M (10) Vermare A (11) Moraly J (12) Manni S (13) Quadraccia MC (14) Quintarelli C (15) De Angelis B (16) Bercovici N (17) Donnadieu E (18) Pendino F
Fumagalli et al. developed a focused CRISPR-knockout library targeting loss-of-function of 50 relevant genes to screen low-affinity EGFR CAR-T cells in an orthotopic human lung adenocarcinoma (A549) model. In vivo screening identified ZC3H12A, SOCS1, PTPN2, and CDKN2A loss as top hits that enhanced CAR-T persistence and expansion, whereas MED12, PRDM1, or BATF loss impaired long-term efficacy. Targeted validation of ZC3H12A- and PTPN2-deficient CAR-T cells confirmed improved tumor control and survival. Gene-edited CAR-T cells showed versatility and tumor context specificity, and retained iCasp9 suicide switch activity.
Contributed by Shishir Pant
ABSTRACT: CAR-T cell therapies are revolutionizing the treatment of refractory or relapsed hematological malignancies, but many patients do not achieve durable responses, and these therapies remain ineffective against solid tumors. Therapeutic failure is closely associated with a poor persistence of CAR-T cells in patients, highlighting the need to identify strategies promoting in vivo expansion. Although numerous gene-editing strategies have been proposed, comparative studies to identify the most effective ones are still lacking. Here, using a focused CRISPR-knockout library targeting 50 selected gene candidates, we developed a competitive screening that revealed ZC3H12A, SOCS1, PTPN2, and CDKN2A as the most robust targets to improve persistence of EGFR CAR-T cells in human lung tumor-bearing mice. Surprisingly, disruption of other genes previously reported to improve CAR-T cell efficacy in other preclinical models-MED12, PRDM1, and BATF-had a detrimental effect in this context. These results suggest that some gene-editing strategies can yield beneficial, neutral, or even deleterious effects on CAR-T cell persistence, depending on specific conditions. Altogether, these findings highlight the importance of performing context-specific evaluations of genetic modifications to accelerate the clinical translation of the most promising editing strategies for optimizing CAR-T cell therapies.
Author Info: (1) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France; Thèse Financée par la Ligue Nationa

Author Info: (1) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France; Thèse Financée par la Ligue Nationale Contre le Cancer, Paris, France. Electronic address: fumatia97@gmail.com. (2) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (3) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (4) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (5) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France. (6) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France. (7) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France. (8) Technical University of Denmark, 2800 Kongens Lyngby, Denmark. (9) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France. (10) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (11) Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. (12) Department of Onco-Haematology and Cell and Gene Therapy, Bambino Ges Children's Hospital, IRCCS, 00165 Rome, Italy. (13) Department of Onco-Haematology and Cell and Gene Therapy, Bambino Ges Children's Hospital, IRCCS, 00165 Rome, Italy. (14) Department of Onco-Haematology and Cell and Gene Therapy, Bambino Ges Children's Hospital, IRCCS, 00165 Rome, Italy; Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy. (15) Department of Onco-Haematology and Cell and Gene Therapy, Bambino Ges Children's Hospital, IRCCS, 00165 Rome, Italy. (16) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (17) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. (18) Université Paris Cité, Institut Cochin, INSERM, CNRS, 75014 Paris, France; Equipe Labélisée Ligue Nationale Contre le Cancer, Paris, France. Electronic address: frederic.pendino@inserm.fr.

Citation: Mol Ther 2026 Jul 1 34:3976-4000 Epub04/04/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/41935953
Targeting non-canonical antigens unlocks functional T-cell responses in renal cell carcinoma Spotlight
(1) Wang J (2) Zhu Y (3) He X (4) Yin S (5) He Y (6) Yao P (7) Li J (8) Li X (9) Shi P (10) Qian R (11) Xiao Z (12) Ye X (13) Xi JJ (14) Ye B
Using immunopeptidomics and exome and transcriptome sequencing, Wang et al. analyzed 22 RCC samples and identified HLA-I-presented non-canonical tumor-specific antigens (TSA) derived from human endogenous retroviruses and long non-coding RNAs, with some shared across patients. TSA-reactive T cells in the TIME primarily expressed an exhausted phenotype. T cells expressing TSA-reactive TCRs isolated using scRNA seq mediated tumor cell killing/ regression in vitro in RCC patient-derived tumor-like cell clusters cocultured with autologous peripheral lymphocytes and in mouse xenograft models, particularly combined with anti-PD-1.
Contributed by Paula Hochman
(1) Wang J (2) Zhu Y (3) He X (4) Yin S (5) He Y (6) Yao P (7) Li J (8) Li X (9) Shi P (10) Qian R (11) Xiao Z (12) Ye X (13) Xi JJ (14) Ye B
Using immunopeptidomics and exome and transcriptome sequencing, Wang et al. analyzed 22 RCC samples and identified HLA-I-presented non-canonical tumor-specific antigens (TSA) derived from human endogenous retroviruses and long non-coding RNAs, with some shared across patients. TSA-reactive T cells in the TIME primarily expressed an exhausted phenotype. T cells expressing TSA-reactive TCRs isolated using scRNA seq mediated tumor cell killing/ regression in vitro in RCC patient-derived tumor-like cell clusters cocultured with autologous peripheral lymphocytes and in mouse xenograft models, particularly combined with anti-PD-1.
Contributed by Paula Hochman
Author Info: (1) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future T

Author Info: (1) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (2) Department of Urology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. (3) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (4) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (5) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (6) Innovative Vaccine and Immunotherapy Research Center, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. (7) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (8) Department of Urology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. (9) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (10) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (11) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China. (12) Department of Urology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China jzxi@pku.edu.cn bqye@pku.edu.cn yexiongjun@cicams.ac.cn. (13) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China jzxi@pku.edu.cn bqye@pku.edu.cn yexiongjun@cicams.ac.cn. (14) State Key Laboratory of Natural and Biomimetic Drugs, Beijing Key Laboratory of Tumor Organoid and Digital Tumor Twin, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, China jzxi@pku.edu.cn bqye@pku.edu.cn yexiongjun@cicams.ac.cn.

Citation: J Immunother Cancer 2026 Jun 24 14: Epub06/24/2026
Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42342407
