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Molecular Subtyping of Triple-Negative Breast Cancers by Immunohistochemistry: Molecular Basis and Clinical Relevance.

Shen ZhaoDing MaYi XiaoXiao-Mei LiJian-Li MaHan ZhangXiao-Li XuHong LvWen-Hua JiangWen-Tao YangYi-Zhou JiangQing-Yuan ZhangZhi-Ming Shao
Published in: The oncologist (2020)
An immunohistochemistry (IHC)-based classification approach was developed for triple-negative breast cancer (TNBC), which exhibited substantial agreement with the mRNA expression-based classification. This IHC-based classification (a) allows for subgrouping of TNBC patients in large clinical trials and evaluating the efficacy of targeted therapies within certain subtypes, (b) will contribute to the practical application of subtype-specific treatment for patients with TNBC, and (c) can provide additional information beyond traditional prognostic factors in relapse prediction.
Keyphrases
  • prognostic factors
  • deep learning
  • machine learning
  • clinical trial
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • peritoneal dialysis
  • randomized controlled trial
  • young adults
  • single molecule
  • phase ii