Nature Communications (Feb 2020)

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

  • Wei Jiao,
  • Gurnit Atwal,
  • Paz Polak,
  • Rosa Karlic,
  • Edwin Cuppen,
  • PCAWG Tumor Subtypes and Clinical Translation Working Group,
  • Alexandra Danyi,
  • Jeroen de Ridder,
  • Carla van Herpen,
  • Martijn P. Lolkema,
  • Neeltje Steeghs,
  • Gad Getz,
  • Quaid Morris,
  • Lincoln D. Stein,
  • PCAWG Consortium

DOI
https://doi.org/10.1038/s41467-019-13825-8
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 12

Abstract

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Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.