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Gastrointestinal tissue-based molecular biomarkers: a practical categorisation based on the 2019 World Health Organization classification of epithelial digestive tumours.

Javier I Quezada-MarínAlfred King-Yin LamAtsushi OchiaiRobert D OdzeMary Kay WashingtonMasashi FukayamaMassimo RuggeDavid S KlimstraIris D NagtegaalPuay Hoon TanMark J ArendsJohn R GoldblumIan A CreeManuel Salto-Tellez
Published in: Histopathology (2020)
Molecular biomarkers have come to constitute one of the cornerstones of oncological pathology. The method of classification not only directly affects the manner in which patients are diagnosed and treated, but also guides the development of drugs and of artificial intelligence tools. The aim of this article is to organise and update gastrointestinal molecular biomarkers in order to produce an easy-to-use guide for routine diagnostics. For this purpose, we have extracted and reorganised the molecular information on epithelial neoplasms included in the 2019 World Health Organization classification of tumours. Digestive system tumours, 5th edn.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • big data
  • newly diagnosed
  • prostate cancer
  • healthcare
  • clinical practice
  • patient reported