Open AccessMolecular Classification of Breast Cancer: Relevance and Challenges
Author(s) -
Xinmin Zhang
Publication year - 2022
Publication title -
archives of pathology and laboratory medicine
Language(s) - English
Resource type - Journals
eISSN - 1543-2165
pISSN - 0003-9985
DOI - 10.5858/arpa.2022-0070-ra
Subject(s) - breast cancer , cancer , medicine , identification (biology) , clinical significance , relevance (law) , molecular diagnostics , clinical practice , oncology , bioinformatics , biology , family medicine , botany , political science , law
Appropriate patient management requires precise and meaningful tumor classification. Breast cancer classification continues to evolve from traditional morphologic evaluation to more sophisticated systems with the integration of new knowledge from research being translated into practice. Breast cancer is heterogeneous at the molecular level, with diversified patterns of gene expression, which is presumably responsible for the difference in tumor behavior and prognosis. Since the beginning of this century, new molecular technology has been gradually applied to breast cancer research on issues pertinent to prognosis (prognostic signature) and therapeutic prediction (predictive signature), and much progress has been made.