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Tardio, E.

Publications and source records attributed to Tardio, E..

2 recordsLinked to original sources

Autoantibodies Drive Fc Gamma Receptor-Dependent Colon Inflammation During Immune Checkpoint Blockade

Immune checkpoint inhibitor (ICI)-associated colitis limits effective cancer immunotherapy, yet host determinants of severe toxicity remain undefined. We investigated whether humoral immunity is associated with subsequent severe immune-related colitis (irC). In melanoma patients, baseline serum autoantibody (AAb) profiling identified a composite antigen signature - a signature-level association rather than validated functional specificities - associated with severe irC, marked by retained reactivity to tumor-associated antigens and relative depletion of antibodies recognizing immune- and mucosal-regulatory proteins. To assess functional relevance, we transferred polyclonal IgG from severe- or non-severe-irC patients into wild-type or humanized Fc{gamma} receptor (hFc{gamma}R) mice treated with anti-PD-1 or anti-CTLA-4. IgG alone did not induce inflammation; however, severe-irC IgG amplified checkpoint-driven colonic inflammation in hFc{gamma}R mice, but not in wild-type mice, with checkpoint-specific remodeling of myeloid, lymphoid, and innate lymphoid compartments. These findings suggest that pretreatment humoral immunity conditions susceptibility to irC via the IgG-Fc{gamma}R axis.

cancer biology↗

A pan-cancer atlas of T cell targets

T-cell-based immunotherapies have revolutionized cancer treatment, yet only a minority of patients are eligible for these approaches, significantly constrained by the limited knowledge of tumor-specific antigens. Here we present ImmunoVerse, a comprehensive map of T cell targets across 21 cancer types, revealing actionable tumor-specific targets in 89% of tumors analyzed. To define the repertoire of actionable T cell targets, we conducted an exhaustive pan-cancer analysis, integrating data from 7,188 RNA-Seq, 1,771 immunopeptidomes from 512 biological samples and 208 single-cell cancer datasets using novel AI methods, and compared these against 17,384 normal samples covering 51 tissues. Our analysis uncovered 62 viable surface protein targets and 28,446 tumor-specific HLA-presented antigens, deriving from 11 distinct molecular events, across 21 tumor types. Among these, we identified 5,928 previously uncharacterized neoantigens, new tumor self-antigens, peptides derived from tumor-specific cryptic ORFs, tumor-associated microbial targets and a novel splicing-derived PMEL peptide (sPMEL) with enhanced abundance and safety compared to the canonical clinical targets. We successfully expanded sPMEL-specific T cells, validating the therapeutic potential of these targets in functional assays. We highlight 153 promising new tumor targets and experimentally validate 19 targets representing six antigen classes. In addition to being the most comprehensive atlas of targets in scope, ImmunoVerse offers the most extensively annotated resource with key parameters for target selection, providing critical insights for therapeutic prioritization and clinical translation. To catalyze therapeutic development, we released our pan-cancer target atlas through an interactive web portal (https://www.immuno-verse.com) and made the accompanying toolkits available to the scientific community. This work redefines the landscape of therapeutic T cell targets and provides a foundational resource to unlock immunotherapy development across multiple cancers previously considered intractable.

cancer biology↗