Artificial intelligence, molecular subtyping, biomarkers, and precision oncology

Emerg Top Life Sci. 2021 Dec 21;5(6):747-756. doi: 10.1042/ETLS20210212.

Abstract

A targeted cancer therapy is only useful if there is a way to accurately identify the tumors that are susceptible to that therapy. Thus rapid expansion in the number of available targeted cancer treatments has been accompanied by a robust effort to subdivide the traditional histological and anatomical tumor classifications into molecularly defined subtypes. This review highlights the history of the paired evolution of targeted therapies and biomarkers, reviews currently used methods for subtype identification, and discusses challenges to the implementation of precision oncology as well as possible solutions.

Keywords: colon cancer; molecular subtypes; precision oncology.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Artificial Intelligence
  • Biomarkers
  • Humans
  • Medical Oncology / methods
  • Neoplasms* / diagnosis
  • Neoplasms* / pathology
  • Neoplasms* / therapy
  • Precision Medicine / methods

Substances

  • Biomarkers