Robust T Cell Activation Kills Tumors Regardless of T Cell Specificity 2260126
Abstract
Abstract Introduction Solid tumors are populated with functional, non-circulating virus-specific CD8+ T cells, primed for rapid response to re-infection. Immunosurveillance by these memory T cells is evident across multiple tissues and solid tumors. Activation of these bystander cells triggers clearance of poorly immunogenic tumors in mice and is phenocopied in human tumor explants through unknown mechanisms — putatively involving the adjuvanting of tumor-specific T cell responses — providing the basis for a Phase I immunotherapy trial termed peptide alarm therapy (PAT). Methods To define mechanisms of PAT mediated tumor clearance in murine models, we used single-cell multi-omics, targeted immune cell depletions, and genetic manipulations. We mapped how viral peptides influence antiviral T cell states and by what axes they signal to activate the innate and adaptive immune system to mount an effective response against malignant cells. We validated our multi-omic approach via in vivo studies to measure treatment efficacy in the context of key immune cell depletion and pathway inhibitions. Results We initially hypothesized that tumors were cleared in an antigen-specific manner; however, PAT cured without conventional recognition-dependent mechanisms and in the absence of any tumor-specific TCRab T cell. Mechanistically, robust T cell activation recruited immune cells, utilized innate leukocytes, and triggered a tumoricidal combination of effector molecules and panoptotic pathways, resulting in tumor-specific clearance independent of conventional T cell mechanisms. IFN-γ, TNF, and NO induced caspase-dependent death, recapitulating melanoma cures in mice or human melanoma cell death in vitro. Gene expression signatures of immune and tumor cell types involved in this panoptotic pathway were predictive of survival among human melanoma patients. Conclusion Thus, triggering productive T cell activation within tumors can be sufficient for immunotherapy, without needing to induce or rescue cancer-specific responses. Funding Source F30CA253992, R01CA238439, DP1238659 Topic Categories Computational and Systems Immunology (COMP)
Article Details
Journal Info
The Journal of Immunology
American Association of Immunologists
Authors (17)
Tyler Dao
MIT
Noah Gavil
University of Minnesota
Melissa Geller
University of Minnesota
Olivia Ghirardelli Smith
University of Minnesota
Alessio Giubellino
2University of Minnesota Faculty of Medicine., Pathology, Minneapolis, United States
Vineet Joag
University of Minnesota
Matthew Krummel
University of California San Francisco
David Masopust
University of Minnesota
Jeffrey Miller
Son Nguyen
MIT
Stephen O’Flanagan
University of Minnesota
Pamela Rosato
Geisel School of Medicine at Dartmouth
Adam Rubin
Broad Institute
Alex Shalek
MIT
Vaiva Vezys
University of Minnesota
Matthew Watowich
University of Minnesota
Eyob Weyu
University of Minnesota