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CrossDome: an interactive R package to predict cross-reactivity risk using immunopeptidomics databases.
Andre F Fonseca1, Dinler A Antunes1
1Antunes Lab, Center for Nuclear Receptors and Cell Signaling (CNRCS), Department of Biology and Biochemistry, University of Houston, Houston, TX, United States.
Frontiers in Immunology
|June 28, 2023
Summary
This study introduces CrossDome, a new tool to predict T-cell immunotherapy off-target toxicity. CrossDome accurately identifies potential toxic reactions, enhancing the safety of cancer treatments.
Area of Science:
- Immunology
- Bioinformatics
- Computational Biology
Background:
- T-cell immunotherapies offer targeted cancer treatment but face safety concerns due to potential off-target toxicity.
- Molecular mimicry can lead to T-cell cross-reactivity, where engineered T-cells attack healthy tissues, causing severe adverse events.
- Predicting and mitigating off-target toxicity is crucial for developing safer immunotherapy products.
Purpose of the Study:
- To introduce CrossDome, a multi-omics suite designed to predict the risk of off-target toxicity in T-cell-based immunotherapies.
- To evaluate the efficacy of CrossDome using known cross-reactivity cases and experimentally validated data.
- To provide a computational tool for enhancing the safety profile of immunotherapies.
Main Methods:
- Developed CrossDome, a suite with peptide-centered and TCR-centered prediction protocols.
- Utilized a multi-omics approach integrating expression data, HLA binding, and immunogenicity predictions.
- Validated the tool on 16 known cross-reactivity cases and an extended dataset of experimentally determined cross-reactive peptides.
Main Results:
- CrossDome accurately predicted known off-target peptides, including the TITIN-derived peptide associated with lethal damage (99+ percentile rank).
- The TCR-centered approach, incorporating a contact map penalty system, improved prediction accuracy compared to the peptide-centered method.
- CrossDome achieved high enrichment rates for validated cross-reactive peptides (up to 82% for the TCR-centered protocol in the top 50 candidates).
Conclusions:
- CrossDome is an effective tool for predicting and mitigating off-target toxicity in T-cell immunotherapies.
- The TCR-centered prediction protocol demonstrates superior performance in identifying potential adverse reactions.
- This R package and web interface offer valuable support for antigen discovery pipelines and immunotherapy development, enhancing patient safety.
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