Affiliations 

  • 1 Department of Mechanical Engineering, Faculty of Engineering, Technology and Built Environment, 125743UCSI University, Kuala Lumpur, Malaysia
  • 2 Faculty of Clinical Research, Central Research Facility, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
  • 3 Faculty of Medicine, 37447University of Malaya, Kuala Lumpur, Malaysia
Technol Cancer Res Treat, 2023;22:15330338221145246.
PMID: 36601658 DOI: 10.1177/15330338221145246

Abstract

Breast cancer is the most common malignancy and the second most common cause of cancer-related mortality in women. Triple-negative breast cancers do not express estrogen receptors, progesterone receptors, or human epidermal growth factor receptor 2 and have a higher recurrence rate, greater metastatic potential, and lower overall survival rate than those of other breast cancers. Treatment of triple-negative breast cancer is challenging; molecular-targeted therapies are largely ineffective and there is no standard treatment. In this review, we evaluate current attempts to classify triple-negative breast cancers based on their molecular features. We also describe promising treatment methods with different advantages and discuss genetic biomarkers and other prediction tools. Accurate molecular classification of triple-negative breast cancers is critical for patient risk categorization, treatment decisions, and surveillance. This review offers new ideas for more effective treatment of triple-negative breast cancer and identifies novel targets for drug development.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.