Journal Articles

Personalized neoantigen-targeting cancer vaccines in ovarian cancer: a phase 1 trial

In a phase 1 clinical trial, Sellars et al. evaluated the adjuvant use of personalized cancer vaccines in combination with nivolumab in patients with high-grade ovarian cancer treated with standard-of-care platinum-based chemotherapy. Treatment was feasible and well tolerated, with evidence of vaccine-induced T cell responses and antitumor immunity. Immune escape through several mechanisms was also observed.

In a phase 1 clinical trial, Sellars et al. evaluated the adjuvant use of personalized cancer vaccines in combination with nivolumab in patients with high-grade ovarian cancer treated with standard-of-care platinum-based chemotherapy. Treatment was feasible and well tolerated, with evidence of vaccine-induced T cell responses and antitumor immunity. Immune escape through several mechanisms was also observed.

ABSTRACT: Personalized neoantigen-targeting cancer vaccines in the adjuvant setting are of increasing interest across malignancies. Here we report the results of a phase 1 clinical trial testing the feasibility and safety of personalized neoantigen-targeting cancer vaccines for high-grade epithelial ovarian cancer. 'NeoVax' consisted of pools of synthetic long peptides targeting patient-specific neoantigens admixed with the immunostimulant poly-ICLC, was combined with delayed administration of anti-PD-1 antibody, and was tested in ten patients (one newly diagnosed patient (Cohort A) and nine patients at first recurrence (Cohort B)) with platinum-sensitive ovarian cancer following standard-of-care platinum doublet chemotherapy. Nine of 12 evaluable Cohort B patients were vaccinated (75%, 90% CI 47-93%) and 1 of 9 Cohort A patients (11%, 90% CI 0.6-43%). No unexpected safety signals were encountered and no patients discontinued treatment due to toxicity. Across patients, >70% selected targets remained detectable by noninvasive cell-free DNA analysis despite a median of 6.5 months from the time of diagnostic biopsy to vaccine administration, during which, patients received standard-of-care chemotherapy. Biomarker analysis was suggestive of biologic activity of the vaccine in six of ten patients and this was associated with broader tumor and vaccine-specific immune responses in blood and tumor following vaccination. Resistant tumor clones reflected diverse mechanisms affecting antigen presentation, indicative of immune-selective pressure exerted by vaccination. Overall, the interplay between the repertoire of antigens presented by the tumor and the breadth of induced immunity seemed to dictate clinical efficacy following vaccination. ClinicalTrials.gov identifier: NCT04024878 .

Author Info: (1) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (2) Department of Medical Oncology, Dana-Farber Cancer I

Author Info: (1) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (2) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (3) Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. (4) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. (5) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (6) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. (7) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. (8) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (9) Harvard Medical School, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. (10) Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. (11) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (12) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (13) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (14) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (15) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (16) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. (17) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. (18) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. (19) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (20) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Centre for Immuno-Oncology, Nuffield Department of Medicine, University of Oxford, Oxford, UK. (21) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (22) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (23) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (24) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. (25) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (26) Harvard Medical School, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA. (27) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. (28) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. (29) Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. (30) Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. (31) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (32) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (33) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (34) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (35) Broad Institute of MIT and Harvard, Cambridge, MA, USA. Department of Pathology, Massachusetts General Hospital, Boston, MA, USA. Department of Pathology, Harvard Medical School, Boston, MA, USA. (36) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. (37) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. (38) Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. (39) Broad Institute of MIT and Harvard, Cambridge, MA, USA. (40) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Harvard Medical School, Boston, MA, USA. Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA, USA. Broad Institute of MIT and Harvard, Cambridge, MA, USA. Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA. Department of Medical Education and Biomedical Sciences, Methodist University CFVH School of Medicine, Fayetteville, NC, USA. (41) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Panogiotis_Konstantinopoulos@dfci.harvard.edu. Harvard Medical School, Boston, MA, USA. Panogiotis_Konstantinopoulos@dfci.harvard.edu. Mellen and Eisenson Family Center for BRCA and Related Genes, Dana-Farber Cancer Institute, Boston, MA, USA. Panogiotis_Konstantinopoulos@dfci.harvard.edu. (42) Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Catherine_Wu@dfci.harvard.edu. Harvard Medical School, Boston, MA, USA. Catherine_Wu@dfci.harvard.edu. Broad Institute of MIT and Harvard, Cambridge, MA, USA. Catherine_Wu@dfci.harvard.edu. Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. Catherine_Wu@dfci.harvard.edu.

Lower airway microbiome transcriptional and metabolic activities influence responsiveness to immunotherapy in NSCLC

ABSTRACT: Immune checkpoint inhibitors (ICIs) have transformed the treatment of advanced non-small cell lung cancer (NSCLC), yet a large proportion of patients do not respond. The lung microbiome is a key modulator of antitumor immunity, however, the functional contribution of active microbial communities and their interaction with host transcriptional programs in shaping ICI outcomes remain poorly defined. Here, we prospectively analyzed bronchoalveolar lavage (BAL) samples from 71 NSCLC patients prior to ICI initiation. We profiled the microbiome and host transcriptome in the BAL to look for microbial and host signatures in the lower airways associated with treatment response. We found that enrichment of the lower airway microbiome with oral commensals was associated with disease progression and worse prognosis of patients treated with ICI. Metatranscriptomics-derived microbial clustering revealed distinct functional profiles. The microbial cluster enriched with oral commensals, which was only present among patients with poor response to ICI, had differential regulation of pathways involved in the metabolism of short-chain fatty acids, methane, and pyruvate. This cluster also correlated with host immune pathways including upregulation of interferon signaling, neutrophil degranulation, and mitophagy, all of which could contribute to the poor response to immunotherapy. In a preclinical murine model of lung cancer with dysbiosis, inoculating lung tumor-bearing mice with oral commensals increased intratumoral neutrophils and Th17 responses and impaired ICI efficacy. Our findings support the concept that microbial communities in the lower airways influence tumor-immune interactions via defined metabolic-immune axes.

Author Info: (1) NYU Langone Medical Center New York, New York United States. (2) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (3) New York University Ne

Author Info: (1) NYU Langone Medical Center New York, New York United States. (2) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (3) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (4) New York University NY, NY United States. ROR: https://ror.org/0190ak572 (5) NYU Langone Medical Center New York, New York United States. (6) New York University New York, NY United States. ROR: https://ror.org/0190ak572 (7) National Institutes of Health Bethsada, MD United States. ROR: https://ror.org/01cwqze88 (8) New York University Grossman School of Medicine New York, NY United States. (9) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (10) NYU Langone Medical Center New York, New York United States. (11) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (12) NYU Langone Health New York, New York United States. ROR: https://ror.org/005dvqh91 (13) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (14) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (15) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (16) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (17) NYU Langone Medical Center New York, New York United States. (18) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (19) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (20) New York University Grossman School of Medicine New York, New York United States. (21) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (22) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (23) NYU Langone Medical Center New York, New York United States. (24) NYU Langone Medical Center New York, New York United States. (25) NYU Langone Medical Center New York, New York United States. (26) NYU Langone's Laura and Isaac Perlmutter Cancer Center New York, NY United States. ROR: https://ror.org/00sa8g751 (27) NYU Langone's Laura and Isaac Perlmutter Cancer Center New York, NY United States. ROR: https://ror.org/00sa8g751 (28) Gutz Analytics BOULDER, CO United States. (29) Gutz Analytics United States. (30) New York University Grossman School of Medicine New York, New York United States. (31) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (32) Weill Cornell Medicine New York, NY United States. ROR: https://ror.org/02r109517 (33) NYU Langone Health New York, NY United States. ROR: https://ror.org/005dvqh91 (34) NYU Langone's Laura and Isaac Perlmutter Cancer Center New York, ny United States. ROR: https://ror.org/00sa8g751 (35) New York University New York City, NY United States. ROR: https://ror.org/0190ak572 (36) NYU Langone Medical Center New York, NY United States. (37) Simons Foundation. ROR: https://ror.org/01cmst727 (38) New York University New York, New York United States. ROR: https://ror.org/0190ak572 (39) National Institutes of Health Bethsada, MD United States. ROR: https://ror.org/01cwqze88 (40) NYU Langone Medical Center New York, New York United States.

Autologous erythrocyte microparticles drive antitumour T cell immunity via haem-mediated dendritic cell activation

Tang, Liang, Sun et al. developed a process to prepare haem-containing erythrocyte-derived microparticles (EMPs) from UV-irradiated erythrocytes as DC adjuvants. EMPs mixed with tumor cell lysates simultaneously activated and delivered antigen to DCs in vivo, providing CD8+ T cell-dependent prophylactic and therapeutic tumor control and enhanced survival. EMPs functioned by haem binding the nuclear receptor REV-ERBα, thereby inhibiting PPARγ transcription and driving DC activation. Human erythrocyte-derived EMPs were active in stimulating human DC maturation, and demonstrated in vivo activity in a humanized model.

Contributed by Ed Fritsch

Tang, Liang, Sun et al. developed a process to prepare haem-containing erythrocyte-derived microparticles (EMPs) from UV-irradiated erythrocytes as DC adjuvants. EMPs mixed with tumor cell lysates simultaneously activated and delivered antigen to DCs in vivo, providing CD8+ T cell-dependent prophylactic and therapeutic tumor control and enhanced survival. EMPs functioned by haem binding the nuclear receptor REV-ERBα, thereby inhibiting PPARγ transcription and driving DC activation. Human erythrocyte-derived EMPs were active in stimulating human DC maturation, and demonstrated in vivo activity in a humanized model.

Contributed by Ed Fritsch

ABSTRACT: Current vaccine adjuvants, such as aluminum salts and emulsions, are limited by weak induction of cytotoxic T cell immunity and restricted ability to promote T helper type 1 responses, highlighting the need for safer and more effective alternatives. Here we show that microparticles generated from erythrocytes by controlled ultraviolet irradiation function as potent T helper type 1-skewing adjuvants that enhance tumour antigen-specific cytotoxic T cell responses in vitro and in multiple mouse tumour models. Following uptake by dendritic cells, these microparticles traffic to lysosomes and deliver haem cargo that is subsequently transported to the nucleus. Mechanistically, the particles elevate lysosomal pH, promoting lysosome movement towards the nucleus and enabling haem transfer, where haem activates REV-ERB_ and forms a co-repressor complex that suppresses peroxisome proliferator-activated receptor gamma, thereby relieving inhibition of dendritic cell maturation and antigen presentation. In vaccination settings, combining tumour antigens with erythrocyte-derived microparticles enhances cytotoxic T cell activation and suppresses tumour growth with minimal toxicity. These findings establish host-derived vesicles as a promising platform for next-generation cancer vaccine adjuvants.

Author Info: (1) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ketang@hust.edu.cn. Department of Breast

Author Info: (1) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. ketang@hust.edu.cn. Department of Breast and Thyroid Surgery, Union Hospital, Huazhong University of Science and Technology, Wuhan, China. ketang@hust.edu.cn. (2) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (3) School of Medicine, Xinxiang University, Xinxiang, China. (4) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (5) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (6) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (7) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (8) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (9) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (10) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (11) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (12) Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (13) Department of Immunology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. (14) Department of Immunology and State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. (15) Department of Immunology and State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. (16) Department of Immunology and State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. (17) Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. tjhuangbo@hotmail.com. Department of Immunology and State Key Laboratory of Common Mechanism Research for Major Diseases, Institute of Basic Medical Sciences, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. tjhuangbo@hotmail.com.

Lymph node-targeted, mKRAS-specific amphiphile vaccine in pancreatic cancer: the randomized phase 2 AMPLIFY-7P trial

In a phase 2 clinical trial, patients with stage I-III KRAS-mutated PDAC recently (<6 months) cleared by standard therapy were treated with either camupepimut (a lymph-node targeting, CpG-adjuvanted vaccine targeting KRAS G12D and G12R neoantigens; n=96) or standard-of-care/observation (n=48). DFS lasted a median of 23.8 versus 21.2 months, which did not meet the primary endpoint, but an improved 6-month DFS rate of 75.7% vs. 61.7% was significantly associated with treatment. In camupepimut-treated patients, mKRAS-specific T cell responses above 9.17-fold over baseline correlated with improved DFS (NR vs. 6.08 months), with evidence of epitope spreading.

Contributed by Lauren Hitchings

In a phase 2 clinical trial, patients with stage I-III KRAS-mutated PDAC recently (<6 months) cleared by standard therapy were treated with either camupepimut (a lymph-node targeting, CpG-adjuvanted vaccine targeting KRAS G12D and G12R neoantigens; n=96) or standard-of-care/observation (n=48). DFS lasted a median of 23.8 versus 21.2 months, which did not meet the primary endpoint, but an improved 6-month DFS rate of 75.7% vs. 61.7% was significantly associated with treatment. In camupepimut-treated patients, mKRAS-specific T cell responses above 9.17-fold over baseline correlated with improved DFS (NR vs. 6.08 months), with evidence of epitope spreading.

Contributed by Lauren Hitchings

ABSTRACT: Camupepimut (ELI-002 7P) drives mutated KRAS (mKRAS)-specific T cell responses that correlated with disease-free survival (DFS) and overall survival (OS) in patients with mKRAS pancreatic adenocarcinoma (PDAC) in the phase 1 AMPLIFY-201 trial. In the phase 2 AMPLIFY-7P trial, patients with stage I-III KRAS-mutated PDAC without recurrence within 6 months of standard therapy were randomized 2:1 to camupepimut (n = 96) or standard-of-care/observation (n = 48). Stratification balanced nodal status. The primary DFS endpoint was not met (median 23.8 versus 21.2 months; HR 0.85, P = 0.5329). However, prespecified and exploratory analyses were informative. A numerical DFS advantage at 6 months of 14.0% (75.7% versus 61.7%; HR 0.55, P = 0.0557) corresponded to camupepimut dosing. Post hoc multivariate Cox regression analysis of DFS indicated an improved outcome for camupepimut (adjusted HR 0.47, P = 0.0086), a worse outcome for stage III disease (adjusted HR 2.29, P = 0.0127), an elevated baseline CA19-9 (adjusted HR 3.16, P < 0.0001) and baseline circulating tumor DNA (ctDNA) positivity (adjusted HR 5.99, P < 0.0001). Prespecified subgroup analyses addressing prognostic and predictive factors suggested DFS benefit for camupepimut (ctDNA negative: HR 0.51, P = 0.0280; no prior radiation: HR 0.59, P = 0.0221). Exploratory analysis demonstrated that ex vivo mKRAS-specific T cell responses were robust (98.9%, 89/90) and associated with antigen spreading (86.7%, 13/15). In camupepimut-treated patients, mKRAS-specific T cell response >9.17-fold over baseline (82.2%, 74/90) correlated with improved DFS (HR 0.22, P < 0.0001), with the median DFS not reached versus 6.08 months for above and below 9.17-fold, respectively. Camupepimut safety was similar to observation, with grade ≥3 adverse events in 10.4% (10/96) versus 14.6% (7/48), and few serious AEs (6.3%, 6/96 versus 8.3%, 4/48; reflecting progression/surgical complication). These efficacy and immunogenicity signals will inform a refined strategy for a confirmatory phase 3 trial. ClinicalTrials.gov identifier: NCT05726864 .

Author Info: (1) Medical College of Wisconsin, Milwaukee, WI, USA. george.ben@mayo.edu. Mayo Clinic Comprehensive Cancer Center, Rochester, MN, USA. george.ben@mayo.edu. (2) Dana Farber Cancer

Author Info: (1) Medical College of Wisconsin, Milwaukee, WI, USA. george.ben@mayo.edu. Mayo Clinic Comprehensive Cancer Center, Rochester, MN, USA. george.ben@mayo.edu. (2) Dana Farber Cancer Institute, Boston, MA, USA. (3) Northwell Health Cancer Institute, New Hyde Park, NY, USA. (4) City of Hope, Duarte, CA, USA. (5) Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA. (6) Samuel Oschin Cancer Center, Cedars Sinai, Los Angeles, CA, USA. (7) Moffitt Cancer Center, Tampa, FL, USA. (8) University of California, Irvine, Orange, CA, USA. (9) Mayo Clinic, Phoenix, AZ, USA. (10) Vanderbilt-Ingram Cancer Center, Vanderbilt Health, Nashville, TN, USA. (11) Weill-Cornell Medicine, New York, NY, USA. NYU Langone Health, New York, NY, USA. (12) City of Hope, Duarte, CA, USA. Weill-Cornell Medicine, New York, NY, USA. (13) University of Colorado School of Medicine, Aurora, CO, USA. (14) Sarah Cannon Research Institute, Nashville, TN, USA. (15) University of Iowa, Iowa City, IA, USA. (16) Mass General Hospital, Boston, MA, USA. (17) University of Pennsylvania, Philadelphia, PA, USA. (18) University of Florida, Gainesville, FL, USA. (19) UT Southwestern, Dallas, TX, USA. (20) Ochsner Health, New Orleans, LA, USA. (21) Lehigh Valley Topper Cancer Institute, Jefferson Health, Allentown, PA, USA. (22) Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, MN, USA. (23) Elicio Therapeutics, Boston, MA, USA. (24) Elicio Therapeutics, Boston, MA, USA. (25) Elicio Therapeutics, Boston, MA, USA. (26) Elicio Therapeutics, Boston, MA, USA. (27) Elicio Therapeutics, Boston, MA, USA. (28) Elicio Therapeutics, Boston, MA, USA. (29) Elicio Therapeutics, Boston, MA, USA. (30) Elicio Therapeutics, Boston, MA, USA. (31) Elicio Therapeutics, Boston, MA, USA. (32) Elicio Therapeutics, Boston, MA, USA. (33) Elicio Therapeutics, Boston, MA, USA. chris.haqq@elicio.com. (34) University of Texas, MD Anderson Cancer Center, Houston, TX, USA. (35) University of California, Los Angeles, Los Angeles, CA, USA. (36) Memorial Sloan Kettering Cancer Center, New York, NY, USA. oreillye@mskcc.org.

Targeting MDA5 induces immunogenic cell death and promotes anti-tumor immunity

Spotlight 

Niu and Cheng et al. found that the RNA sensor MDA5 promoted tumor immune evasion by suppressing the unfolded protein response and the release of DAMPs associated with immunogenic cell death (ICD). Targeting MDA5 in murine tumors enhanced ICD as well as DC antigen uptake and cross-talk with T cells, resulting in increased T cell activation, tumor infiltration, effector functions, and memory. MDA5 depletion also primed the ASK1-JNK/P38 pathway in tumors, increasing vulnerability to TNFα and IFNγ. In patient data, MDA5 was upregulated in cancer, and high pre-treatment MDA5 predicted poor survival and resistance to ICB across multiple cancers.

Contributed by Lauren Hitchings

Niu and Cheng et al. found that the RNA sensor MDA5 promoted tumor immune evasion by suppressing the unfolded protein response and the release of DAMPs associated with immunogenic cell death (ICD). Targeting MDA5 in murine tumors enhanced ICD as well as DC antigen uptake and cross-talk with T cells, resulting in increased T cell activation, tumor infiltration, effector functions, and memory. MDA5 depletion also primed the ASK1-JNK/P38 pathway in tumors, increasing vulnerability to TNFα and IFNγ. In patient data, MDA5 was upregulated in cancer, and high pre-treatment MDA5 predicted poor survival and resistance to ICB across multiple cancers.

Contributed by Lauren Hitchings

ABSTRACT: Identifying targets to enhance tumor immunity is an urgent need. Although nucleic acid sensors play critical roles in promoting tumor immune clearance, their exceptionally low mutation rate in cancers suggests potential unexplored roles in tumor progression. Here, we demonstrate that the RNA sensor melanoma differentiation-associated protein 5 (MDA5) promotes immune evasion, and its high expression is strongly predictive of poor survival and resistance to immune checkpoint blockade (ICB) therapy in patients. Targeting MDA5 reshapes the tumor microenvironment, strengthening immune memory responses and enhancing effector CD8⁺ T cell activity in preclinical models in female mice. Mechanistically, MDA5 deficiency triggers unfolded protein response driven immunogenic cell death through induction of damage-associated molecular patterns, leading to enhanced dendritic cell-mediated antigen engulfment and T cell activation. Additionally, MDA5 loss primes the ASK1-JNK/P38 signaling pathway, sensitizing tumor cells to TNF-α/IFN-γ, further amplifying this process. Consequently, targeting MDA5 enhances the efficacy of ICB therapy across multiple cancer types, positioning it as a promising therapeutic target.

Author Info: Guangdong Provincial Key laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Zhitong Niu, Bing Cheng,

Author Info: Guangdong Provincial Key laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Zhitong Niu, Bing Cheng, Yue Jiang, Yingzhen Weng, Qian Xiao, Chaoying Wei, Qiufeng Liu, Jinxin Chen, Xiaojian Wu & Wenyu WangGuangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Zhitong Niu, Bing Cheng, Yue Jiang, Yingzhen Weng, Qian Xiao, Chaoying Wei, Qiufeng Liu, Jinxin Chen, Xiaojian Wu & Wenyu WangBiomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Zhitong Niu, Bing Cheng, Yue Jiang, Yingzhen Weng, Qian Xiao, Guojie Long, Chaoying Wei, Qiufeng Liu, Jinxin Chen, Xiaofeng Wen, Yufeng Chen, Yan Huang, Weidong Pan, Xiaojian Wu & Wenyu WangDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Guojie Long, Xiaofeng Wen, Yufeng Chen, Weidong Pan & Xiaojian WuThe First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Panpan WangDepartment of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China Yan HuangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China Jing TanLaboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre Singapore, Singapore, 168583, Singapore Jing TanHainan Academy of Medical Science, Hainan Medical University, Haikou, 571199, China Jing TanPharmacy college, Jinan University, Guangzhou, 510632, China Ronghua ZhangCancer research institute, Jinan University, Guangzhou, 510632, China Ronghua ZhangGenome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Biopolis, 138672, Singapore Qiang YuDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore Qiang YuCancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, 169857, Singapore Qiang Yu

In vivo engineering of CAR natural killer cells for immunotherapy using ligand-directed lipid nanoparticles Spotlight 

Chen, Monkovic, and Mughal et al. used NK cell receptor-specific scFvs to generate NK cell-targeted LNPs (NtLNPs) that transfected up to 80% of circulating and tissue NK cells, with minimal off-target effects. NtLNP delivery of CAR mRNAs generated NK cells that specifically depleted B cells in healthy mice, restored AST/ALT to baseline levels in an autoimmune hepatitis model, and cleared antigen+ melanoma cells in a solid tumor model. NtLNPs targeting NKG2a boosted efficacy in solid tumor models by mitigating Qa-1b mediated immunosuppression. In vivo and ex vivo, NtLNP-generated human CAR NK cells induced regression in humanized lymphoma and T cell leukemia mouse models.

Contributed by Paula Hochman

Chen, Monkovic, and Mughal et al. used NK cell receptor-specific scFvs to generate NK cell-targeted LNPs (NtLNPs) that transfected up to 80% of circulating and tissue NK cells, with minimal off-target effects. NtLNP delivery of CAR mRNAs generated NK cells that specifically depleted B cells in healthy mice, restored AST/ALT to baseline levels in an autoimmune hepatitis model, and cleared antigen+ melanoma cells in a solid tumor model. NtLNPs targeting NKG2a boosted efficacy in solid tumor models by mitigating Qa-1b mediated immunosuppression. In vivo and ex vivo, NtLNP-generated human CAR NK cells induced regression in humanized lymphoma and T cell leukemia mouse models.

Contributed by Paula Hochman

ABSTRACT: Targeted lipid nanoparticles (LNPs) offer a nonviral approach for in vivo cell engineering but efficient programming of natural killer (NK) cells remains underexplored. Here we develop NK cell-targeted LNPs (NtLNPs) using engineered biparatopic NK cell ligands to drive receptor-specific uptake and mRNA delivery. Lead NtLNPs achieve up to ~80% NK cell transfection with minimal off-target effects in mice. Systemic delivery of chimeric antigen receptor (CAR) mRNA using NtLNPs generates CAR NK cells in vivo. CD19-targeted CAR NKs completely deplete circulating B cells in healthy mice and CD3-targeted CAR NKs eliminate nearly all autoreactive T cells in an autoimmune hepatitis model, highlighting a potential advantage over CAR T therapies for T cell-driven disease. In solid tumors, NtLNPs targeting the inhibitory checkpoint NKG2A enhance antitumor efficacy by relieving Qa-1(b)-mediated immunosuppression. Lastly, we optimized NtLNPs for in vivo engineering of human CAR NK cells, enabling regression of two humanized hematologic malignancy models and establishing NtLNPs as a modular immunotherapy system.

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

Author Info: (1) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (2) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (3) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. (4) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (5) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Harvard and MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. (6) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, USA. (7) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (8) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (9) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (10) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. (11) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (12) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (13) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. (14) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. (15) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA. Harvard and MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, USA. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. (16) David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu. Harvard and MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu. Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA, USA. dgander@mit.edu. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA. dgander@mit.edu.

Propionate promotes MHC class I antigen presentation and anti-tumor immunity Spotlight 

Li et al. found that dietary supplementation with the short-chain fatty acid propionate could be used to stabilize and maintain expression of MHC-I in tumor cells by binding to the E3 ligase STUB1, blocking the K30 and N34 residues, and thus the direct interactions that would lead to STUB1-mediated polyubiquitination and lysosomal degradation of MHC-I. In mice, dietary propionate increased MHC-I on tumor cells, resulting in enhanced CD8+ T cell-mediated antitumor immunity and IFNγ production, which further increased tumor MHC-I. Propionate also improved the efficacy of anti-PD-1, as did the propionate-producing probiotic A. muciniphila.

Contributed by Lauren Hitchings

Li et al. found that dietary supplementation with the short-chain fatty acid propionate could be used to stabilize and maintain expression of MHC-I in tumor cells by binding to the E3 ligase STUB1, blocking the K30 and N34 residues, and thus the direct interactions that would lead to STUB1-mediated polyubiquitination and lysosomal degradation of MHC-I. In mice, dietary propionate increased MHC-I on tumor cells, resulting in enhanced CD8+ T cell-mediated antitumor immunity and IFNγ production, which further increased tumor MHC-I. Propionate also improved the efficacy of anti-PD-1, as did the propionate-producing probiotic A. muciniphila.

Contributed by Lauren Hitchings

ABSTRACT: Defective tumor antigen presentation promotes immune evasion and resistance to immune checkpoint blockade. Here, we identified the short-chain fatty acid propionate as a potent enhancer of major histocompatibility complex class I (MHC class I) antigen presentation. Propionate stabilizes MHC class I on tumor cells, promotes CD8(+) T cell infiltration and activation, and suppresses tumor growth. Mechanistically, the E3 ubiquitin (Ub) ligase STUB1 directly interacts with human leukocyte antigen (HLA)-A to mediate K168/K170 polyubiquitination and subsequent degradation. Propionate directly binds STUB1 through hydrogen bonds involving K30 and N34, residues that overlap with the MHC class I-binding interface. This interaction blocks STUB1-mediated MHC class I polyubiquitination, thereby stabilizing MHC class I, enhancing T cell receptor (TCR) engagement and T cell activation, and restraining tumor growth. Importantly, propionate or the propionate-producing probiotic Akkermansia muciniphila markedly enhanced anti-PD-1 efficacy. These findings uncover a non-metabolic moonlighting function of short-chain fatty acids in regulating tumor immunity and provide a rationale for leveraging dietary propionate or propionate-producing probiotics to enhance immune checkpoint therapy.

Author Info: (1) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Transl

Author Info: (1) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (2) Department of Gastroenterology, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 201600, China. Electronic address: dongguo@shsmu.edu.cn. (3) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (4) Department of General Surgery, Pancreatic Disease Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. (5) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China. (6) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (7) Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China. (8) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (9) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (10) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (11) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (12) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (13) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (14) Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Zhejiang Provincial Clinical Research Center for Cancer, Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310058, China. (15) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (16) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China. (17) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (18) Center for Regeneration and Aging Medicine, The Fourth Affiliated Hospital of School of Medicine, International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang 322000, China. (19) Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Zhejiang Provincial Clinical Research Center for Cancer, Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310058, China. (20) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. (21) Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China. Electronic address: wam@zju.edu.cn. (22) Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China. Electronic address: dingyuan@zju.edu.cn. (23) Zhejiang Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang Key Laboratory of Frontier Medical Research on Cancer Metabolism, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Institute of Fundamental and Transdisciplinary Research, Zhejiang University Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310029, China; The Center for Translational Research, The Second Affiliated Hospital and Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310029, China. Electronic address: zhiminlu@zju.edu.cn.

A reciprocally masked anti-CD47/IL-2 fusion protein promotes antitumor immunity and limits systemic toxicity Spotlight 

To overcome the dose-limiting toxicity associated with both CD47-targeting antibodies and IL-2, Léchine, Cons, and Garnier et al. developed a reciprocally masked antibody-cytokine fusion (aCD47/IL-2c) that only unmasks its components when cleavable linkers are broken by MMP9 in the TIME. In mouse models, aCD47/IL-2c was better tolerated than either component alone. Antitumor efficacy was dependent on both components, which together induced pro-inflammatory macrophage polarization and increased effector CD8+ T cell infiltration. Antitumor efficacy and tolerability were also observed for a human aCD47/IL-2c in a humanized mouse model.

Contributed by Lauren Hitchings

To overcome the dose-limiting toxicity associated with both CD47-targeting antibodies and IL-2, Léchine, Cons, and Garnier et al. developed a reciprocally masked antibody-cytokine fusion (aCD47/IL-2c) that only unmasks its components when cleavable linkers are broken by MMP9 in the TIME. In mouse models, aCD47/IL-2c was better tolerated than either component alone. Antitumor efficacy was dependent on both components, which together induced pro-inflammatory macrophage polarization and increased effector CD8+ T cell infiltration. Antitumor efficacy and tolerability were also observed for a human aCD47/IL-2c in a humanized mouse model.

Contributed by Lauren Hitchings

ABSTRACT: Cancer immunotherapies have achieved meaningful clinical benefit but remain limited by systemic toxicities that restrict the use of potent immune modulators. CD47-targeting antibodies promote tumor cell phagocytosis but are hindered by hematologic toxicity, while IL-2 activates cytotoxic lymphocytes but induces broad, dose-limiting immune activation. Here, we engineered a reciprocally masked antibody-cytokine fusion (aCD47/IL-2c) designed for tumor-selective activation. In this construct, a CD47-specific antibody (aCD47) and an IL-2/IL-2 receptor complex (IL2c) sterically and functionally suppress each other via protease-cleavable linkers, preventing CD47 blockade and IL-2 receptor engagement in circulation while enabling protease-dependent unmasking within the tumor microenvironment. A human construct demonstrated masking and protease-dependent restoration of both CD47-SIRP_ blockade and IL-2 signaling, with improved systemic tolerability in human hCD47/hSIRP_ transgenic mice, supporting translational potential. A murine analog enabled mechanistic and efficacy studies in immunocompetent tumor models. The tolerability of mouse aCD47/IL-2c was improved in comparison to individual components. Antitumor activity required both CD47 blockade and IL-2 activity, and resulted in a robust antitumor efficacy, including in an immune checkpoint-resistant melanoma model. The robust antitumor efficacy was associated with inflammatory macrophage polarization and increased numbers of effector CD8_ T cells inside the tumor. Unlike conventional CD47 antibodies or IL-2 therapies, this approach enabled coordinated, tumor-localized activation of innate and adaptive immunity while limiting systemic exposure. Together, these data highlight reciprocal masking as a clinically relevant strategy to expand the therapeutic index of immune modulators constrained by systemic toxicity.

Author Info: (1) Light Chain Bioscience (Switzerland) Plan-les-Ouates Switzerland. ROR: https://ror.org/03a17f132 (2) Light Chain Bioscience (Switzerland) Plan-les-Ouates Switzerland. ROR: http

Author Info: (1) Light Chain Bioscience (Switzerland) Plan-les-Ouates Switzerland. ROR: https://ror.org/03a17f132 (2) Light Chain Bioscience (Switzerland) Plan-les-Ouates Switzerland. ROR: https://ror.org/03a17f132 (3) University of Geneva Geneva Switzerland. ROR: https://ror.org/01swzsf04 (4) Light Chain Bioscience (Switzerland) Plan-Les-Ouates, Geneva Switzerland. ROR: https://ror.org/03a17f132 (5) Light Chain Bioscience (Switzerland) Plan-Les-Ouates, Geneva Switzerland. ROR: https://ror.org/03a17f132 (6) Memorial Sloan Kettering Cancer Center New York City, New York United States. ROR: https://ror.org/02yrq0923 (7) Light Chain Bioscience. (8) Light Chain Bioscience (Switzerland) Plan-Les-Ouates, Geneva Switzerland. ROR: https://ror.org/03a17f132 (9) Geneva Medical School Geneva Switzerland. (10) University of Geneva Geneva Switzerland. ROR: https://ror.org/01swzsf04 (11) Light Chain Bioscience (Switzerland) Plan-les-Ouates, Geneva Switzerland. ROR: https://ror.org/03a17f132

The human gut microbiome primes fever after vaccination Spotlight 

Huus et al. studied the impact of the SARS-CoV-2 mRNA vaccine on the gut microbiome–immune axis in 171 healthy volunteers. Participants with temperatures ≥ 0.8ºC above personal baseline upon vaccination demonstrated chronic low-grade intestinal inflammation, high expression of flagellin, and abundance of flagellated bacteria. In mice, the microbiome from these participants drove innate immune detection of flagellin by TLR5 and NLRC4, and vaccine-induced adverse reactions. Western diet and common food additives boosted the abundance of flagellated bacteria and microbial flagellin production in vitro and in vivo.

Contributed by Ute Burkhardt

Huus et al. studied the impact of the SARS-CoV-2 mRNA vaccine on the gut microbiome–immune axis in 171 healthy volunteers. Participants with temperatures ≥ 0.8ºC above personal baseline upon vaccination demonstrated chronic low-grade intestinal inflammation, high expression of flagellin, and abundance of flagellated bacteria. In mice, the microbiome from these participants drove innate immune detection of flagellin by TLR5 and NLRC4, and vaccine-induced adverse reactions. Western diet and common food additives boosted the abundance of flagellated bacteria and microbial flagellin production in vitro and in vivo.

Contributed by Ute Burkhardt

ABSTRACT: Fever is a common adverse reaction to vaccination, contributing to vaccine hesitancy and reduced uptake. To understand variation in fever risk, we longitudinally profiled fecal microbiota, oral temperature, and serological markers in 171 healthy adults receiving Severe acute respiratory syndrome coronavirus 2 mRNA vaccines. Fever risk correlated with low-grade intestinal inflammation, increased abundance of flagellated Lachnospiraceae bacteria, and increased flagellin expression prevaccine. Microbiomes from fever-high donors triggered stronger inflammation in human intestinal organoids and drove flagellin-dependent vaccine reactions in gnotobiotic mice. Moreover, microbiome flagellin phenotypes and murine vaccine reactions were modifiable by diet. Consistent with this, human fever risk was associated with self-reported diet and metabolic markers. These findings identify the gut microbiome as a driver of vaccine-induced fever, suggesting that microbiome-targeting strategies could modulate immune tone and improve vaccine side effects.

Author Info: (1) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany.

Author Info: (1) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (2) Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. (3) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (4) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (5) Microbiome-Host Interactions, Institut Pasteur, UniversitŽ Paris CitŽ, Paris, France. (6) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (7) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (8) Mass Spectrometry Facility, Max Planck Institute for Biology TŸbingen, TŸbingen, Germany. (9) Department of Pediatrics and Child Health, University of Manitoba, Manitoba, Canada. (10) Department of Pediatrics; Center for Microbiome Innovation; Department of Computer Science and Engineering; Shu Chien-Gene Lay Department of Bioengineering; Halõcõo_lu Data Science Institute, University of California San Diego, La Jolla, CA, USA. Hong Kong University of Science and Technology Jockey Club Institute for Advanced Study, Hong Kong University of Science and Technology, Hong Kong SAR, China. (11) Department of Pediatrics and Child Health, University of Manitoba, Manitoba, Canada. (12) Department of Pediatrics and Child Health, University of Manitoba, Manitoba, Canada. (13) Department of Biochemistry, Microbiology and Immunology, University of Ottawa, Ottawa, OT, Canada. (14) Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. (15) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (16) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. (17) Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. (18) Departments of Medicine and of Epidemiology and Population Health, Stanford University, Stanford, CA, USA. (19) Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. Institute for Tropical Medicine, University of TŸbingen, TŸbingen, Germany. (20) Microbiome-Host Interactions, Institut Pasteur, UniversitŽ Paris CitŽ, Paris, France. (21) Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. Interfaculty Institute of Microbiology and Infection Medicine, University of TŸbingen, TŸbingen, Germany. Centre de Recherches Medicales de LambarŽnŽ, LambarŽnŽ, Gabon. German Center for Infection Research (DZIF), partner site TŸbingen, TŸbingen, Germany. (22) Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. (23) Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany. Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, USA. Centre de Recherches Medicales de LambarŽnŽ, LambarŽnŽ, Gabon. (24) Department of Microbiome Science, Max Planck Institute for Biology, TŸbingen, Germany. Controlling Microbes to Fight Infections (CMFI) Cluster of Excellence, TŸbingen, Germany.

Spatially tuned localization of interleukins and OX40 agonists enhances synergistic anti-tumor immunity Spotlight 

Klich et al. showed that hydrogel delivery of IL-2 and IL-12 intratumorally (IT) and CpG-adjuvanted agonistic anti-OX40 (agOX40) peritumorally (PT) increased cargo retention relative to IV delivery. Hydrogel cytokine delivery IT boosted efficacy in mouse models compared to PT or soluble IT delivery, and skewed the TIME toward antitumor Tcm cells and activated DCs. Relative to IT, PT delivery of agOX40 extended tumor control, increased Tem cells, and reduced immunosuppressive Tregs in the TdLNs and TIME. Hydrogel delivery of cytokines IT + agOX40 PT improved survival and cleared distal tumors, while IT/IT or PT/PT delivery was less active. Adding anti-PD-1 boosted long-term survival.

Contributed by Paula Hochman

Klich et al. showed that hydrogel delivery of IL-2 and IL-12 intratumorally (IT) and CpG-adjuvanted agonistic anti-OX40 (agOX40) peritumorally (PT) increased cargo retention relative to IV delivery. Hydrogel cytokine delivery IT boosted efficacy in mouse models compared to PT or soluble IT delivery, and skewed the TIME toward antitumor Tcm cells and activated DCs. Relative to IT, PT delivery of agOX40 extended tumor control, increased Tem cells, and reduced immunosuppressive Tregs in the TdLNs and TIME. Hydrogel delivery of cytokines IT + agOX40 PT improved survival and cleared distal tumors, while IT/IT or PT/PT delivery was less active. Adding anti-PD-1 boosted long-term survival.

Contributed by Paula Hochman

ABSTRACT: While advances in immunotherapy have revolutionized care for cancer patients, most approaches still fail to mount a robust anti-cancer effect. To address this challenge, the field has turned to combination immunotherapies, but systemic administration of potent combination therapies has resulted in severe immune-related adverse effects. Here, we use an injectable polymer-nanoparticle (PNP) hydrogel to rationally localize immunotherapeutic cytokines (IL-12 and IL-2) intratumorally and antibodies (OX40a) peritumorally. We hypothesize that selectively altering the biodistribution of these cargo enables tolerable and synergistic anti-cancer combinations. Using in vivo imaging, we demonstrate that administration sites are critical for redistributing cargo to either the tumor or tumor-draining lymph node (tdLN). Further, we demonstrate that this approach synergistically improved treatment efficacy in the B16F10 and MC38 tumor models and alters cellular phenotypes, resulting in significant tumor clearance in both single and double tumor models.

Author Info: (1) Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. (2) Department of Biochemistry, Stanford University, Stanford, CA 94305, USA. (3) Department of Bioe

Author Info: (1) Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. (2) Department of Biochemistry, Stanford University, Stanford, CA 94305, USA. (3) Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. (4) Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. (5) Department of Material Science and Engineering, Stanford University, Stanford, CA 94305, USA. (6) Department of Material Science and Engineering, Stanford University, Stanford, CA 94305, USA. (7) Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Material Science and Engineering, Stanford University, Stanford, CA 94305, USA; Sarafan ChEM- H, Stanford University, Stanford, CA 94305, USA; Wood Institute for the Environment, Stanford University, Stanford, CA 94305, USA; Department of Pediatrics (Endocrinology), Stanford University, Stanford, CA 94305, USA. Electronic address: eappel@stanford.edu.

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