Learning Objectives
Upon completion of this activity, participants should be able to:
- Discuss the use of genetic signatures in determining benefit from therapy for patients with breast cancer
- Cite the significance of genetic polymorphisms on metabolism of therapeutic agents used in the treatment of breast cancer
- Describe prognostic markers used to predict outcomes in patients with breast cancer
Topics covered include:
- Recurrence Score Predictive of Adjuvant Therapy Benefit in Node-Positive, ER-Positive Breast Cancer
- RS Prognostic in Hormone Receptor–Positive Operable Breast Cancer
- Impact of Cytochrome P450 2D6 Polymorphisms on Tamoxifen Metabolism
- Ki-67 Labeling Index as a Prognostic Marker for Adjuvant Endocrine Therapy
- Development of a Predictive Model of Endocrine Response
- Combination Index of Gene Copy Number Alterations and Expression Signature in Node-Negative Breast Cancer
- 70-Gene Profile and Outcomes in Node-Positive Breast Cancer
- Evaluating Correlation of Outcomes With Polysomy 17 Following Anthracycline and Trastuzumab Treatment
- HER2 Assessment Methods and Outcomes in the HERA Trial
- Sensitive Molecular Assay for Detecting Lymph Node Metastases
- Molecular Subtype Defines Efficacy of Anthracyclines in Adjuvant Therapy for Breast Cancer
- Concluding Remarks