Journal Articles

Tryptophan degradation by intestinal Bacteroides induces anti-tumor immunity and limits melanoma growth

Study of gut microbiota control of anti-tumor immunity (ATI) identifies Bacteroides rodentium and the human-related Bacteroides uniformis species to be capable of inducing ATI and limiting melanoma development in germ-free (GF), complex microbiome, or wild-type (WT) mice. Enhanced CD8(+) T cell infiltration within tumors of mice harboring B. rodentium coincides with increased expression of immune-stimulating pathways. Metabolomic analyses identify lower tryptophan levels in the cecal samples of GF mice harboring B. rodentium. In silico genomic reconstruction reveals that B. rodentium and B. uniformis harbor tryptophanase A (TnaA) and aromatic aminotransferase genes, which degrade tryptophan to indoles. Administration of B. uniformis harboring TnaA mutant fails to inhibit melanoma growth. Notably, administration of indoles effectively induces ATI and inhibits melanoma development. Correspondingly, the levels of bacterially encoded tryptophan-degrading enzymes are higher in cohorts of patients with melanoma responding to immunotherapy. These findings identify indoles as tryptophan breakdown products capable of inducing ATI resulting in melanoma inhibition.

Author Info: (1) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars S

Author Info: (1) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA; Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA. (2) Department of Food Science and Technology, Nebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA. (3) Department of Microbiology & Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA. (4) Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA. (5) Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. (6) Department of Microbiology & Immunology, University of Michigan Medical School, Ann Arbor, MI 48109, USA. (7) Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA. (8) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (9) Division of Molecular Oncology & Immunology, the Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands. (10) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (11) Human Microbiome Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (12) Human Microbiome Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (13) Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD 20892, USA. (14) The Angeles Clinic and Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90025, USA. (15) The Angeles Clinic and Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90025, USA. (16) Department of Biomedical Sciences, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA; Human Microbiome Research Institute, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (17) Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037, USA. (18) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. (19) Division of Molecular Oncology & Immunology, the Netherlands Cancer Institute, Amsterdam 1066 CX, the Netherlands. (20) Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (21) Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. (22) Department of Food Science and Technology, Nebraska Food for Health Center, University of Nebraska-Lincoln, Lincoln, NE 68588, USA. Electronic address: aramer-tai2@unl.edu. (23) Translational Research Institute, Elinor and Rendall Department of Surgery, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars Sinai Medical Center, Los Angeles, CA 90048, USA. Electronic address: zeev.ronai@csmc.edu.

Epigenetic landscape, key transcriptional regulators, and in vivo identification of human Tr1 cells

Type 1 regulatory T (Tr1) cells are CD4(+) T cells with suppressive function that are induced from conventional T cells exposed to persistent or strong antigens. Human Tr1 cells are understudied; the regulators of their antigen-driven differentiation are unknown, and identifying them in tissues, where antigen interactions occur, is challenging. Here, we conducted a multiomic profiling of human antigen-induced Tr1 cells. Using CRISPR-based functional genomics, we uncovered essential roles of transcription factors IRF4, BATF, and MAF in human Tr1 differentiation, phenotype, and function. We also derived a Tr1 transcriptional signature that detects cells with a Tr1 phenotype in single-cell datasets from patients treated with Tr1 therapy and those with solid tumors. Cross-species analysis confirmed this signature identifies bona fide Tr1 cells induced in vivo in a murine solid tumor model. These findings provide a framework for development of Tr1-based and Tr1-targeting therapies and studies of Tr1 cell biology.

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, SaarbrŸcken, 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.

The CARM1 epigenetic enzyme inhibits cross-presenting dendritic cell function in cancer immunity

The cancer-immunity cycle requires cross-presenting type I conventional dendritic cells (cDC1s) that induce T cell-mediated immunity, but therapeutic strategies for enhancing intratumoral cDC1 function are currently inadequate. We found the epigenetic enzyme CARM1 (coactivator-associated arginine methyltransferase 1) to be a selective negative regulator of cancer antigen presentation by cDC1s but not cDC2s. Inactivation of the Carm1 gene promoted cDC1 antigen cross-presentation, activation, and accumulation in tumors, and a CARM1 inhibitor enhanced cDC1-mediated priming of T cells by means of a cancer neoantigen vaccine. CARM1 inhibition increased chromatin accessibility at BATF3-Jun and RelA sites that are critical for cDC1 function and activation. Transforming growth factor-_ regulated Carm1 expression, which suggests that CARM1 inactivation enhanced intratumoral cDC1 function without altering cDC1 homeostasis. These studies identify CARM1 as a potential therapeutic target for enhancing the antitumor function of mouse and human cDC1s.

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.

Generalizable AI predicts immunotherapy outcomes across cancers and treatments

Immune checkpoint inhibitors (ICIs) are a standard treatment across cancers, yet most patients do not respond, and existing biomarkers generalize poorly across tumor types and therapies. Here we present COMPASS, a pan-cancer foundation model that predicts immunotherapy response from bulk tumor transcriptomes using a concept bottleneck transformer. COMPASS encodes gene expression through 44 biologically grounded immune concepts representing immune cell states, tumor-microenvironment interaction and signaling pathways. Trained on 10,184 tumors across 33 cancer types, COMPASS achieves better average performance than 22 methods across 16 clinical cohorts spanning seven cancers and six ICIs, improving accuracy by 8.5% and area under the precision-recall curve by 15.7% on average across cohorts. COMPASS generalizes to cancer types and treatments not represented during fine-tuning and may inform indication selection and patient stratification. In survival analyses, patients classified by COMPASS as responders had longer overall survival (hazard ratio_=_4.7, P_<_0.0001). Personalized response maps connect gene expression to immune concepts, identifying programs associated with response and resistance; in immune-inflamed non-responders, COMPASS highlights programs including TGF_ signaling, endothelial exclusion, CD4(+) T cell dysfunction and B cell deficiency. COMPASS predicts immunotherapy response and provides hypothesis-generating mechanistic insight for trial design and translational studies.

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.

Single-cell transcriptomic analysis reveals tumor-immune determinants of lymph node colonization and progression in thyroid cancer Spotlight 

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

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.

Sustained A2AR expression and loss paradoxically promote CD8+ T cell exhaustion

Spotlight 

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

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

RIG-I-targeted immunotherapy synergizes with immune checkpoint inhibition in a hepatocellular carcinoma model Spotlight 

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

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-UniversitŠt MŸnchen 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

CDK4/6 inhibition enhances CAR-T cell therapy in solid tumors Spotlight 

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

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.

An in vivo CRISPR screen unveils promising target genes to improve CAR-T cell efficacy in a solid tumor model Spotlight 

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

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.

Targeting non-canonical antigens unlocks functional T-cell responses in renal cell carcinoma Spotlight 

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

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

BACKGROUND: Renal cell carcinoma (RCC) frequently exhibits favorable responses to immunotherapy, despite a low tumor mutational burden, suggesting a critical role for non-mutational antigens presented by human leukocyte antigen class I in activating CD8(+) T cells. METHODS: To systematically identify non-canonical tumor-specific antigens, we developed an integrated proteogenomic approach to RCC samples by combining immunopeptidomics with exome and transcriptome sequencing. We subsequently primed and expanded antigen-reactive T cells in vitro, isolated a panel of antigen-specific T-cell receptors, and characterized their functionality. Finally, we investigated the tumor-killing and regression of non-canonical antigen-reactive T cells using patient-derived tumor-like cell clusters and mouse models. RESULTS: We discovered a diverse repertoire of non-canonical tumor-specific antigens derived from human endogenous retroviruses (hERVs) and long non-coding RNAs (lncRNAs), many of which were shared across patients. Single-cell RNA sequencing further revealed that T cells reactive to these antigens were enriched within exhausted subsets in the tumor microenvironment, indicative of persistent antigen-specific stimulation. Functionally, T cells engineered to recognize these non-canonical antigens mediated potent tumor cell killing both in vitro and in vivo. Our findings establish hERV-derived and lncRNA-derived antigens as key drivers of RCC immunogenicity and highlight their strong potential as targets for T-cell-based immunotherapy. CONCLUSIONS: Our work is the first to demonstrate that non-canonical antigens drive immunogenicity in low-mutation RCC, thereby resolving a key question in cancer immunology-how tumors with low mutational burden can provoke robust T-cell responses.

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.

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