Article

Pairwise genomic alterations identify prognostic tumor states in multiple cancer types

2026-04-17

Abstract excerpt

Genomic models of cancer prognosis usually rely on individual genomic alterations, potentially overlooking clinically meaningful combinations of events. We analyzed genomic and clinical data from nearly 10,000 primary tumors across major cancer types to identify prognostic genomic interactions (PGIs), defined as pairs of genomic alterations whose joint status was associated with patient outcome beyond either alter...

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Literature Corpus work: 9088a675-dca5-5d6b-b319-8a16c198b940
DOI: 10.64898/2026.04.14.718563

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