A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response

• Published in: International journal of molecular sciences Vol. 19; no. 2; p. 617
• Main Authors: Cardoso, Marcella Regina, Santos, Juliana Carvalho, Ribeiro, Marcelo Lima, Talarico, Maria Cecília Ramiro, Viana, Lais Rosa, Derchain, Sophie Françoise Mauricette
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.02.2018; MDPI
• Subjects: Antineoplastic Agents - therapeutic use; Breast cancer; Breast carcinoma; Breast Neoplasms - classification; Breast Neoplasms - drug therapy; Breast Neoplasms - metabolism; Chemotherapy; Drug resistance; Drug Resistance, Neoplasm; Female; Humans; Metabolic pathways; Metabolomics; Metabolomics - methods; Models, Biological; Patients; Review; Treatment Outcome; metabolomics; breast cancer; drug resistance
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms19020617

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.