Microarray-Based Gene Expression Profiling for Molecular Classification of Breast Cancer and Identification of New Targets for Therapy

Abstract

Basal-like breast cancers represent approximately 15%–20% of all breast carcinomas, are aggressive, have variable responses to chemotherapy, and associated with poor clinical outcome. The molecular mechanisms governing the biological behavior of basal-like breast cancers are not well understood. Hence, it is difficult to predict which chemotherapeutics are most likely to be effective and to determine appropriate management strategies for individual patients. Transcriptomic analysis may allow further stratification of basal-like breast cancers enabling prediction of 1) cancer recurrence after surgery; 2) likelihood of metastatic spread; 3) probable tissue sites for metastatic spread; and 4) responses to specific therapies and treatment modalities. Furthermore, careful examination of microarray-based gene expression profiles may identify new molecular targets (or pathways) for the development of targeted therapeutics. Targeted therapies may prove to be more efficacious in basal-like breast cancer treatment than the cytotoxic chemotherapeutics currently employed.