We developed EasyFuse, a computational machine learning pipeline that detects cancer-specific gene fusions with superior performance over existing tools. Individual gene fusions exhibit a high frequency of pre-established CD4+ and CD8+ T-cell responses and thus represent a previously untapped source of neo-antigens that can be exploited for personalized immunotherapies.
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References
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This is a summary of: Weber, D. et al. Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens. Nat. Biotechnol. https://doi.org/10.1038/s41587-022-01247-9 (2022)
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Expanding the spectrum of cancer targets by predicting individual gene fusions. Nat Biotechnol 40, 1188–1189 (2022). https://doi.org/10.1038/s41587-022-01267-5
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DOI: https://doi.org/10.1038/s41587-022-01267-5
