Clinical interpretation of cancer genomes for therapy selection and clinical hypothesis generation is an urgent and complex endeavor. A new study brings together a diverse set of data sources to automatically prioritize first- and second-order genomic alterations to provide a meaningful set of interpretations based on a patient’s molecular profile.
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Michael Berger discloses consulting fees from Eli Lilly and PetDx, unrelated to the manuscript.
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Zehir, A., Berger, M.F. A quick guide for clinical oncology. Nat Cancer 2, 998–999 (2021). https://doi.org/10.1038/s43018-021-00273-x
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DOI: https://doi.org/10.1038/s43018-021-00273-x
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