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Chemotherapy for advanced HER2-negative breast cancer: Can one algorithm fit all?
- Publication Year :
- 2017
- Publisher :
- W.B. Saunders Ltd, 2017.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
medicine.medical_specialty
Receptor, ErbB-2
medicine.medical_treatment
Antineoplastic Agents
Breast Neoplasms
Personalized therapy
Chemotherapy
HER2 negative
Metastatic breast cancer
Treatment algorithm
Oncology
Radiology, Nuclear Medicine and Imaging
law.invention
03 medical and health sciences
0302 clinical medicine
Breast cancer
Randomized controlled trial
law
Nuclear Medicine and Imaging
Biomarkers, Tumor
medicine
Humans
Radiology, Nuclear Medicine and imaging
Medical physics
Molecular Targeted Therapy
Decision-making
skin and connective tissue diseases
neoplasms
business.industry
General Medicine
medicine.disease
Identification (information)
Regimen
030104 developmental biology
030220 oncology & carcinogenesis
Female
business
Radiology
Algorithm
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....964df70a0a0ec1f96f43619803285231