Breast cancer intrinsic subtype classification, clinical use and future trends

  • Xiaofeng Dai
  • , Ting Li
  • , Zhonghu Bai
  • , Yankun Yang
  • , Xiuxia Liu
  • , Jinling Zhan
  • , Bozhi Shi

Research output: Contribution to journalReview articlepeer-review

798 Scopus citations

Abstract

Breast cancer is composed of multiple subtypes with distinct morphologies and clinical implications. The advent of microarrays has led to a new paradigm in deciphering breast cancer heterogeneity, based on which the intrinsic subtyping system using prognostic multigene classifiers was developed. Subtypes identified using different gene panels, though overlap to a great extent, do not completely converge, and the avail of new information and perspectives has led to the emergence of novel subtypes, which complicate our understanding towards breast tumor heterogeneity. This review explores and summarizes the existing intrinsic subtypes, patient clinical features and management, commercial signature panels, as well as various information used for tumor classification. Two trends are pointed out in the end on breast cancer subtyping, i.e., either diverging to more refined groups or converging to the major subtypes. This review improves our understandings towards breast cancer intrinsic classification, current status on clinical application, and future trends.

Original languageEnglish
Pages (from-to)2929-2943
Number of pages15
JournalAmerican Journal of Cancer Research
Volume5
Issue number10
StatePublished - 2015
Externally publishedYes

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • Classification
  • Clinical use
  • Gene expression profiling
  • Heterogeneity
  • Intrinsic subtype
  • Signature
  • Trends

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