A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response

Author(s)

Cardoso, Marcella Regina ; Santos, Juliana Carvalho ; Ribeiro, Marcelo Lima ; Ramiro Talarico, Maria Cecilia ; Viana, Lais Rosa ; Mauricette Derchain, Sophie Francoise

• Document type: Journal article
• Source: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; v. 19, n. 2, p. 16-pg., 2018-02-01.

Abstract

Although the classification of breast carcinomas into molecular or immunohistochemical subtypes has contributed to a better categorization of women into different therapeutic regimens, breast cancer nevertheless still progresses or recurs in a remarkable number of patients. Identifying women who would benefit from chemotherapy could potentially increase treatment effectiveness, which has important implications for long-term survival. Metabolomic analyses of fluids and tissues from cancer patients improve our knowledge of the reprogramming of metabolic pathways involved in resistance to chemotherapy. This review evaluates how recent metabolomic approaches have contributed to understanding the relationship between breast cancer and the acquisition of resistance. We focus on the advantages and challenges of cancer treatment and the use of new strategies in clinical care, which helps us comprehend drug resistance and predict responses to treatment. (AU)

• FAPESP's process: 16/07822-4 - Analysis Of Molecular Biomarkers Associated To Chemoresistance Derived From Breast Cancer Stem Cells
• Grantee: Sophie Françoise Mauricette Derchain
• Support Opportunities: Regular Research Grants