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.

Selective expansion of neoantigen-specific peripheral blood lymphocytes through antigen-presenting cell-T cell conjugate isolation

BACKGROUND: Neoantigen-specific peripheral blood lymphocytes (NeoPBL) are the circulating counterparts of neoantigen-specific tumor-infiltrating lymphocytes (TILs). A recent study showed NeoPBL exist in a less differentiated state in vivo than TIL, which, along with their non-invasive potential, makes them attractive for cell therapy. However, NeoPBL circulate at ultra-low frequencies, usually less than 0.005%, posing a major translational barrier for their clinical use. METHODS: Here, we used NeoSelect, a peptide-based cyclic enrichment and expansion strategy that leverages magnetic selection of antigen-presenting cell-NeoPBL conjugates ex vivo to increase NeoPBL frequency by several thousand-fold over 28 days while also achieving large-scale expansion. We then evaluated expanded cells using functional, transcriptomic, and epigenetic profiling. RESULTS: Most NeoPBL clonotypes amplified by NeoSelect are detectable as exhausted TIL in vivo. In addition, neoantigen-specific TIL that failed to expand during ex vivo culture could be recovered as NeoPBL. Transcriptional and epigenetic analyses reveal that ex vivo NeoPBL have distinct transcriptional and epigenetic programs compared with TIL and retain expression of and chromatin accessibility at genes associated with stemness (TCF7, KLF2) and costimulation (CD28, CD40LG). CONCLUSIONS: NeoPBL encompass physiologically relevant antitumor clonotypes, can be rapidly expanded to clinically useful numbers and frequencies ex vivo, and can be used to expand the targetable neoantigen repertoire. By combining broad potential applicability and minimal invasiveness, these results position NeoPBL as a clinically streamlined and biologically distinct autologous cell platform that may be useful for adoptive cell transfer.

Author Info: (1) Surgery Branch, NCI, Bethesda, Maryland, USA. (2) Surgery Branch, NCI, Bethesda, Maryland, USA. (3) Surgery Branch, NCI, Bethesda, Maryland, USA. (4) Surgery Branch, NCI, Bethe

Author Info: (1) Surgery Branch, NCI, Bethesda, Maryland, USA. (2) Surgery Branch, NCI, Bethesda, Maryland, USA. (3) Surgery Branch, NCI, Bethesda, Maryland, USA. (4) Surgery Branch, NCI, Bethesda, Maryland, USA. (5) Surgery Branch, NCI, Bethesda, Maryland, USA. (6) Surgery Branch, NCI, Bethesda, Maryland, USA. (7) Surgery Branch, NCI, Bethesda, Maryland, USA. (8) Surgery Branch, NCI, Bethesda, Maryland, USA. (9) Surgery Branch, NCI, Bethesda, Maryland, USA. (10) Surgery Branch, NCI, Bethesda, Maryland, USA. (11) Surgery Branch, NCI, Bethesda, Maryland, USA. (12) Surgery Branch, NCI, Bethesda, Maryland, USA. (13) Surgery Branch, NCI, Bethesda, Maryland, USA. (14) Surgery Branch, NCI, Bethesda, Maryland, USA. (15) Surgery Branch, NCI, Bethesda, Maryland, USA. (16) Surgery Branch, NCI, Bethesda, Maryland, USA. (17) Surgery Branch, NCI, Bethesda, Maryland, USA. (18) Surgery Branch, NCI, Bethesda, Maryland, USA. (19) Surgery Branch, NCI, Bethesda, Maryland, USA. (20) Systems Biology Center, NHLBI, Bethesda, Maryland, USA. (21) Systems Biology Center, NHLBI, Bethesda, Maryland, USA. (22) Systems Biology Center, NHLBI, Bethesda, Maryland, USA. (23) Surgery Branch, NCI, Bethesda, Maryland, USA. (24) Surgery Branch, NCI, Bethesda, Maryland, USA. (25) Surgery Branch, NCI, Bethesda, Maryland, USA. (26) Surgery Branch, NCI, Bethesda, Maryland, USA. (27) NIDDK, Bethesda, Maryland, USA. (28) NCI/CCR, Bethesda, Maryland, USA. (29) Surgery Branch, NCI, Bethesda, Maryland, USA. (30) Surgery Branch, NCI, Bethesda, Maryland, USA nicholas.klemen@duke.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

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.

Bispecific dual T cell agonist invikafusp alfa in solid tumors: the phase 1/2 START-001 trial

ABSTRACT: Invikafusp alfa (invika), a first-in-class, bispecific, dual T cell agonistic antibody selectively targeting V_6/V_10 T cell subsets, is being evaluated in START-001, a multicenter phase 1/2 monotherapy trial in participants with mostly immune checkpoint blockade (ICB)-resistant, antigen-rich solid tumors. Primary outcomes were safety/tolerability and recommended phase 2 dose (RP2D) in phase 1 and anti-tumor activity in phase 2. As of 12 March 2025, phase 1 completed dose escalation (n_=_34) through dose levels of 0.01, 0.02, 0.04, 0.08, 0.12 and 0.16_mg_kg(-1) without reaching maximum tolerated dose, and initial phase 2 enrolled 18 participants. Two participants experienced reversible dose-limiting toxicities, one at each of the 0.08_mg_kg(-1) and 0.16_mg_kg(-1) dose levels. The most common treatment-related adverse event was cytokine release syndrome, mainly grades 1 and 2. No treatment-related deaths or non-laboratory grade 4 adverse events were reported. At the optimal biological doses (OBDs; 0.08_mg_kg(-1) and 0.12_mg_kg(-1)) in combined phase 1 and phase 2 cohorts, the overall objective response rate was 14.8% (4/27), including confirmed partial responses in immunologically cold tumors, such as microsatellite stable colorectal cancer and programmed death-ligand 1 (PD-L1)-negative non-small cell lung cancer. No objective responses were seen at doses lower than 0.08_mg_kg(-1). Invika selectively and potently expanded peripheral and intratumoral V_6/V_10 T cells, of a predominantly memory-like phenotype, dose-dependently, peaking at the OBDs. Pharmacodynamic increases in interferon-_ and soluble CD25 followed a similar pattern. Integrated analyses from safety, pharmacokinetic, pharmacodynamic and preliminary anti-tumor data supported the selection of 0.08_mg_kg(-1) as the RP2D. In conclusion, phase 1 of START-001 met its primary outcomes by demonstrating the acceptable safety profile of invika consistent with its mechanism of action and selecting an RP2D. Initial phase 2 results further corroborated the safety of invika and expanded its preliminary evidence of clinically meaningful anti-tumor activity in ICB-resistant solid tumors, supporting further evaluation in the ongoing phase 2. ClinicalTrials.gov identifier: NCT05592626 .

Author Info: (1) Mass General Brigham Cancer Institute, Boston, MA, USA. (2) Center for Cancer Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Hea

Author Info: (1) Mass General Brigham Cancer Institute, Boston, MA, USA. (2) Center for Cancer Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (3) Memorial Sloan Kettering Cancer Center, New York, NY, USA. (4) Princess Margaret Cancer Centre, Toronto, Ontario, Canada. (5) AdventHealth Cancer Institute, Orlando, FL, USA. (6) The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. (7) Institut BergoniŽ, Bordeaux, France. (8) University of Paris Saclay, Gustave Roussy Cancer Center, Villejuif, France. (9) University of Paris Saclay, Gustave Roussy Cancer Center, Villejuif, France. (10) University of Paris Saclay, Gustave Roussy Cancer Center, Villejuif, France. (11) Medical Oncology Department, Vall d'Hebron Hospital Campus and Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. (12) Medical Oncology Department, Vall d'Hebron Hospital Campus and Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. (13) START-FJD, Madrid, Spain. (14) Mass General Brigham Cancer Institute, Boston, MA, USA. (15) Memorial Sloan Kettering Cancer Center, New York, NY, USA. (16) AdventHealth Cancer Institute, Orlando, FL, USA. (17) Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, PA, USA. Institute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, USA. (18) Center for Cancer Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (19) Center for Cancer Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. (20) Marengo Therapeutics Inc., Cambridge, MA, USA. (21) Marengo Therapeutics Inc., Cambridge, MA, USA. (22) Marengo Therapeutics Inc., Cambridge, MA, USA. (23) Marengo Therapeutics Inc., Cambridge, MA, USA. (24) Marengo Therapeutics Inc., Cambridge, MA, USA. (25) Marengo Therapeutics Inc., Cambridge, MA, USA. (26) Marengo Therapeutics Inc., Cambridge, MA, USA. (27) Marengo Therapeutics Inc., Cambridge, MA, USA. (28) Marengo Therapeutics Inc., Cambridge, MA, USA. kliu@marengotx.com. (29) Princess Margaret Cancer Centre, Toronto, Ontario, Canada. lillian.siu@uhn.ca. (30) Center for Cancer Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. gulleyj@mail.nih.gov.

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

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.

T cell cross-priming by PD-L1+ type 1 conventional dendritic cells mediates the antitumor efficacy of a PD-L1×4-1BB bispecific antibody

ABSTRACT: Bispecific antibodies that conditionally engage costimulatory receptors aim to enhance antitumor T cell immunity while limiting systemic toxicity. We investigated mechanisms underlying the clinical performance of a PD-L1_4-1BB bispecific antibody. Therapeutic efficacy of PD-L1_4-1BB was largely independent of PD-L1 expression on malignant cells but waned in Batf3(-/-) mice or upon depletion of type 1 conventional dendritic cells (cDC1s). cDC1-specific deletion of PD-L1 markedly limited tumor control. PD-L1_4-1BB enhanced proliferation of tumor-antigen-specific CD8(+) T cells through mechanisms dependent on cross-presentation, the presence of interleukin (IL)-12, 4-1BB costimulation, and CD40L-mediated cDC1 licensing. PD-L1_4-1BB increased cDC1-T cell contacts, which promoted transcriptional programs associated with T cell activation and proliferation. Treated tumors exhibited increased infiltration and spatial proximity of cDC1s and activated CD8(+) T cells. Accordingly, increasing dendritic-cell abundance via Flt3L further enhanced tumor control. Thus, cDC1-T cell interactions are central to PD-L1_4-1BB activity, with antigen cross-presentation, dendritic-cell licensing, and IL-12 and 4-1BB costimulation converging to promote antitumor immunity.

Author Info: (1) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain; Centro de Investigaci—n

Author Info: (1) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain; Centro de Investigaci—n BiomŽdica en Red de C‡ncer (CIBERONC), Madrid, Spain. (2) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (3) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (4) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (5) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (6) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain. (7) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (8) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (9) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (10) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain. (11) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain. (12) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (13) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain. (14) Department of Immunology, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan. (15) Department of Pathology, Anatomy and Physiology, Schools of Medicine and Sciences, University of Navarra and Cl’nica Universidad de Navarra, Pamplona, Spain. (16) Department of Pathology, Anatomy and Physiology, Schools of Medicine and Sciences, University of Navarra and Cl’nica Universidad de Navarra, Pamplona, Spain. (17) Department of Pathology, Anatomy and Physiology, Schools of Medicine and Sciences, University of Navarra and Cl’nica Universidad de Navarra, Pamplona, Spain. (18) Program in Solid Tumors, CIMA Universidad de Navarra, Pamplona, Spain. (19) Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. (20) Immunobiology Laboratory, Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain. (21) Genmab BV, Utrecht, the Netherlands. (22) Genmab BV, Utrecht, the Netherlands. (23) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain; Centro de Investigaci—n BiomŽdica en Red de C‡ncer (CIBERONC), Madrid, Spain. (24) Department of Pathology, Anatomy and Physiology, Schools of Medicine and Sciences, University of Navarra and Cl’nica Universidad de Navarra, Pamplona, Spain. (25) Genmab U.S. Inc., Princeton, NJ, USA. (26) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain; Centro de Investigaci—n BiomŽdica en Red de C‡ncer (CIBERONC), Madrid, Spain. Electronic address: ateijeiras@unav.es. (27) Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain; Navarra Institute for Health Research (IDISNA), Pamplona, Spain; Centro de Investigaci—n BiomŽdica en Red de C‡ncer (CIBERONC), Madrid, Spain; Nuffield Department of Medicine, University of Oxford, Oxford, UK; Departments of Immunology and Oncology, Cl’nica Universidad de Navarra, Pamplona, Spain. Electronic address: imelero@unav.es.

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.

Cullin-5 RING E3 ligase limits CD8⁺ T-cell persistence and effector responses during chronic antigen stimulation

Featured  

Two recent back-to-back publications by Bachl et al. and Saco et al. used CRISPR-Cas9 knockout screens in primary human T cells exposed to repetitive antigen challenge and uncovered the enrichment of Cullin-RING Ligase 5 (CRL5) complex members over time with chronic antigen exposure. Knockouts of CRL5 components resulted in maintenance of antitumor effector function and delayed dysfunction. KO of these components in CAR-T or TCR-T cells improved tumor control in mice.

Two recent back-to-back publications by Bachl et al. and Saco et al. used CRISPR-Cas9 knockout screens in primary human T cells exposed to repetitive antigen challenge and uncovered the enrichment of Cullin-RING Ligase 5 (CRL5) complex members over time with chronic antigen exposure. Knockouts of CRL5 components resulted in maintenance of antitumor effector function and delayed dysfunction. KO of these components in CAR-T or TCR-T cells improved tumor control in mice.

ABSTRACT: T-cell exhaustion limits durable antitumor responses and remains a barrier to adoptive cell therapies (ACT) in solid tumors. To identify regulators of T-cell persistence, we performed genome-wide CRISPR knockout screens in primary human CD8_ T cells expressing an NY-ESO-1-specific T-cell receptor and subjected them to repeated tumor cell rechallenge. These screens revealed enrichment of single-guide RNAs targeting components of Cullin-RING E3 ligases, particularly Cullin-5 (CRL5) assemblies comprising CUL5, RNF7, and ARIH2. Disruption of CRL5 genes in T cells preserved cytotoxic activity and enhanced cytokine production while sustaining effector-associated transcriptional programs and suppressing exhaustion-related signatures. Pharmacologic inhibition of cullin neddylation with the NEDD8-activating enzyme inhibitor MLN4924 recapitulated CRL5 loss and enhanced T-cell effector function in vitro. In a human melanoma xenograft model, ACT with CRL5-deficient T cells improved tumor control. Together, these findings identify CRL5 as a negative regulator of T-cell fitness and a potential therapeutic target to enhance ACT durability in solid tumors.

Author Info: (1) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (2) University of California, Los Angeles LA, CA United States. ROR: https:/

Author Info: (1) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (2) University of California, Los Angeles LA, CA United States. ROR: https://ror.org/046rm7j60 (3) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (4) Gladstone Institutes San Francisco, California United States. ROR: https://ror.org/038321296 (5) Gladstone Institutes San Francisco, California United States. ROR: https://ror.org/038321296 (6) University of California, San Francisco San Francisco, CA United States. ROR: https://ror.org/043mz5j54 (7) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (8) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (9) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (10) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (11) Dana-Farber Cancer Institute Boston United States. ROR: https://ror.org/02jzgtq86 (12) Max Planck Institute of Biochemistry Martinsried Germany. ROR: https://ror.org/04py35477 (13) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (14) University of California, San Francisco San Francisco, CA United States. ROR: https://ror.org/043mz5j54 (15) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60 (16) University of California, Los Angeles Los Angeles, CA United States. ROR: https://ror.org/046rm7j60

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