Cancer taxonomy: pathology beyond pathology.


Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
07 2019
Historique:
received: 20 03 2019
accepted: 27 03 2019
pubmed: 21 5 2019
medline: 2 6 2020
entrez: 21 5 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31108243
pii: S0959-8049(19)30244-8
doi: 10.1016/j.ejca.2019.03.026
pii:
doi:

Types de publication

Editorial

Langues

eng

Sous-ensembles de citation

IM

Pagination

57-60

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Manuel Salto-Tellez (M)

Precision Medicine Centre of Excellence, Centre for Cancer Research and Cell Biology, Queen's University, Belfast, UK. Electronic address: m.salto-tellez@qub.ac.uk.

Ian A Cree (IA)

International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France. Electronic address: creei@iarc.fr.

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Classifications MeSH