Abstract
Biological markers for breast cancer are biomolecules that result from cancer-related processes and are associated with particular clinical outcomes; they thus help predict responses to therapy. In recent years, gene expression profiling has made themolecular classification of breast cancer possible. Classification of breast cancer by immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 and Ki-67 is standard practice for clinical decision- making. Assessments of hormone receptor expression and human epidermal growth factor receptor 2 overexpression help estimate benefits from targeted therapies and have greatly improved prognoses for women with these breast cancer types. Although Ki-67 positivity is associated with an adverse outcome, its clear identification is an aid to optimal disease management. Standardization of testingmethodology to minimize inter-laboratory measurement variations is a remaining issue.Multigene assays provide prognostic information and identify those most likely to benefit from systemic chemotherapy. Incorporating molecular profiles with conventional pathological classification would bemore precise, and could enhance the clinical development of personalized therapy in breast cancer.
| Original language | English |
|---|---|
| Article number | hyv153 |
| Pages (from-to) | 99-105 |
| Number of pages | 7 |
| Journal | Japanese journal of clinical oncology |
| Volume | 46 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2016 Feb 1 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Biomarkers
- Estrogen receptor
- HER2
- Ki-67
- Progesterone receptor
ASJC Scopus subject areas
- Oncology
- Radiology Nuclear Medicine and imaging
- Cancer Research
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