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Article

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns.

Nature communications - 5 Feb 2020

Jiao Wei, Atwal Gurnit, Polak Paz, Karlic Rosa, Cuppen Edwin, Danyi Alexandra, de Ridder Jeroen, van Herpen Carla, Lolkema Martijn P, Steeghs Neeltje, Getz Gad, Morris Quaid D, Stein Lincoln D

Abstract excerpt

In cancer, the primary tumour's organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected...

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Identifiers

PMID: 32024849
DOI: 10.1038/s41467-019-13825-8
PMCID: PMC7002586

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