Chemotherapy for advanced HER2-negative breast cancer: Can one algorithm fit all?
HER2negative (HER2-) metastatic breast cancer (MBC) represents a challenging scenario for clinicians due to its great biological and clinical heterogeneity. Although management of HER2-MBC currently relies on several options, CT still remains a worthwhile strategy to be exploited. However, to date, there is not an univoque algorithm capable of guiding the choice of the proper CT agent/regimen, sequence and duration. Evidence from randomized clinical trials (RCT) and meta-analyses can actually help guiding the decision making process, however the definition of a standard of care for all HER2-MBC patients may be impractical, also in the light of the identification of new promising molecular and immunotherapeutic agents. The purpose of this work is to review available evidence on the role of CT for HER2-MBC with particular emphasis on the need to outline personalized therapeutic strategies for each patient.
['Miglietta|F|F|', 'Dieci|M V|MV|', 'Griguolo|G|G|', 'Guarneri|V|V|', 'Conte|P F|PF|']
D000465:Algorithms D000970:Antineoplastic Agents D014408:Biomarkers, Tumor D001943:Breast Neoplasms D005260:Female D006801:Humans D058990:Molecular Targeted Therapy D018719:Receptor, ErbB-2
Chemotherapy Metastatic breast cancer HER2 negative Personalized therapy Treatment algorithm