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Personalizing HER2-targeted therapy in metastatic breast cancer beyond HER2 status: what we have learned from
1Department of Pharmacology, Emory University School of Medicine, Atlanta, GA 30322.
Abstract:
HER2 is over-expressed in approximately 25% to 30% of human metastatic breast cancers, primarily due to gene amplification. There are currently two HER2-targeted therapies approved for clinical use, the monoclonal HER2 antibody trastuzumab and the EGFR/HER2 dual tyrosine kinase inhibitor lapatinib. Although both agents show clinical benefit in a subset of patients with metastatic breast cancer, many patients with HER2-over-expressing metastatic breast tumors do not respond to these agents. Furthermore, those who do show an initial response generally demonstrate disease progression, on average in less than one year. It has become clear that HER2 expression status alone does not adequately predict response to HER2-targeted therapy. Identification and clinical validation of molecular predictors of response to trastuzumab and lapatinib is critical for further personalizing treatment and improving clinical benefit for patients whose tumors over-express HER2. In this review, we discuss published data describing potential predictors of response or resistance to trastuzumab and lapatinib. While a discussion of the preclinical work is provided, the emphasis is placed on potential predictors that have been studied in clinical specimens such as tumor tissue or serum obtained from patients treated with HER2-targeted therapy. The present analysis and synthesis of the available literature therefore contribute towards an emerging knowledgebase to personalize breast cancer treatment taking into factors including but beyond HER2 expression.
Insights
Identifying molecular predictors beyond HER2 expression is crucial for improving treatment response in metastatic breast cancer patients receiving HER2-targeted therapies like trastuzumab and lapatinib.
Area of Science:
- Oncology
- Molecular Biology
- Translational Medicine
Background:
- HER2 (Human Epidermal growth factor Receptor 2) is over-expressed in 25-30% of metastatic breast cancers.
- Current HER2-targeted therapies, trastuzumab and lapatinib, benefit only a subset of patients.
- Many patients develop resistance or do not respond to existing HER2-targeted treatments.
Purpose of the Study:
- To review and synthesize published data on molecular predictors of response and resistance to trastuzumab and lapatinib.
- To emphasize predictors studied in clinical specimens from patients treated with HER2-targeted therapy.
- To contribute to a knowledge base for personalizing breast cancer treatment beyond HER2 expression levels.
Main Methods:
- Literature review of published studies.
- Analysis of data on potential predictors from preclinical and clinical specimens (tumor tissue, serum).
- Synthesis of findings focusing on clinically validated predictors.
Main Results:
- HER2 expression alone is insufficient to predict response to HER2-targeted therapy.
- Several molecular predictors beyond HER2 status have been investigated in clinical settings.
- Identification of predictors is critical for optimizing treatment strategies.
Conclusions:
- Personalized treatment for HER2-over-expressing metastatic breast cancer requires predictors beyond HER2 status.
- Clinical validation of molecular predictors is essential for improving patient outcomes.
- Further research into these predictors will enhance the efficacy of HER2-targeted therapies.
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