Cancer taxonomy: pathology beyond pathology

Manuel Salto-Tellez; Ian A. Cree

doi:10.1016/j.ejca.2019.03.026

Cancer taxonomy: pathology beyond pathology

Manuel Salto-Tellez^*, Ian A. Cree

^*Corresponding author for this work

Patrick G Johnston Centre for Cancer Research

Research output: Contribution to journal › Comment/debate › peer-review

18 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	57-60
Number of pages	4
Journal	European Journal of Cancer
Volume	115
Early online date	17 May 2019
DOIs	https://doi.org/10.1016/j.ejca.2019.03.026
Publication status	Published - Jul 2019

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

Artificial intelligence
Cancer taxonomy
Pathology

ASJC Scopus subject areas

Oncology
Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ejca.2019.03.026Licence: Unspecified

Cite this

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abstract = "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.",

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AU - Cree, Ian A.

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AB - 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.

KW - Artificial intelligence

KW - Cancer taxonomy

KW - Pathology

U2 - 10.1016/j.ejca.2019.03.026

DO - 10.1016/j.ejca.2019.03.026

M3 - Comment/debate

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JF - European Journal of Cancer

ER -

Cancer taxonomy: pathology beyond pathology

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this