Molecular Classification of Breast Cancer
| Autor: | Gary M. Tse, Julia Y.S. Tsang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Oncology Cancer classification medicine.medical_specialty MEDLINE Breast Neoplasms Disease Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine Breast cancer Molecular classification Internal medicine Humans Medicine Breast skin and connective tissue diseases business.industry Carcinoma medicine.disease High throughput analysis 030104 developmental biology 030220 oncology & carcinogenesis Cancer development Anatomy business Breast cancer classification |
| Zdroj: | Advances in Anatomic Pathology. 27:27-35 |
| ISSN: | 1072-4109 |
| DOI: | 10.1097/pap.0000000000000232 |
| Popis: | Cancer classification aims to provide an accurate diagnosis of the disease and prediction of tumor behavior to facilitate oncologic decision making. Traditional breast cancer classification, mainly based on clinicopathologic features and assessment of routine biomarkers, may not capture the varied clinical courses of individual breast cancers. The underlying biology in cancer development and progression is complicated. Recent findings from high-throughput technologies added important information with regard to the underlying genetic alterations and the biological events in breast cancer. The information provides insights into new treatment strategies and patient stratifications that impact on the management of breast cancer patients. This review provides an overview of recent data on high throughput analysis of breast cancers, and it analyzes the relationship of these findings with traditional breast cancer classification and their clinical potentials. |
| Databáze: | OpenAIRE |
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