Cancer taxonomy: pathology beyond pathology

Manuel Salto-Tellez*, Ian A. Cree

*Corresponding author for this work

Research output: Contribution to journalComment/debatepeer-review

3 Citations (Scopus)


The way we categorise and classify cancer types dictates not only the way we diagnose and treat patients but also many of our decisions on biomarker and drug development. In addition, cancer taxonomy proves the ground truth for future discoveries in the area of computational pathology and artificial intelligence. This editorial comment illustrates the relevance of cancer taxonomy in clinical and morphomolecular diagnosis, prognosis and therapeutic prediction; it shows its importance in identifying the epidemiology, aetiology and pathogenesis in oncology and explains its determinant role in computational tissue-based cancer diagnosis.

Original languageEnglish
Pages (from-to)57-60
Number of pages4
JournalEuropean Journal of Cancer
Early online date17 May 2019
Publication statusPublished - Jul 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd


  • Artificial intelligence
  • Cancer taxonomy
  • Pathology

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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