title: Personalized therapy for breast cancer.
abstract: Breast cancer is a complex disease characterized by many morphological, clinical and molecular features. For many years, this disease has been classified according to histopathologic criteria, known as the tumor, node and metastasis (TNM) staging system. Clinical criteria that include immunohistochemical markers, such as the estrogen receptor (ER), the progesterone receptor (PR), and the human epidermal growth factor receptor 2 (HER2), provide a classification of breast cancer and dictates the optimal therapeutic approach for treatment. With genomic techniques, such as real-time reverse transcriptase PCR (RT-PCR), microarrays, next-generation sequencing, and whole-exome sequencing, breast cancer diagnostics is going through a significant evolution. Genomic and transcriptomic technologies make the analysis of gene expression signatures and mutation status possible so that tumors may now be classified more accurately with respect to diagnosis and prognosis. The -omic era has also made the possible identification of new biomarkers involved in breast cancer development, survival and invasion that can be gradually incorporated either into clinical testing or clinical trials. Together, clinical and molecular criteria can contribute to a more personalized management of the breast cancer patient. This article will present the progress made in the diagnosis and management of breast cancer using molecular information provided by genomic and transcriptomic technologies.
authors.affiliation: Department of Pathology.
authors.forename: F B
authors.initials: FB
authors.lastname: De Abreu
authors.forename: G N
authors.initials: GN
authors.lastname: Schwartz
authors.forename: W A
authors.initials: WA
authors.lastname: Wells
authors.forename: G J
authors.initials: GJ
authors.lastname: Tsongalis
mesh_terms: D015415:Biomarkers; D001943:Breast Neoplasms / Q000145:classification / Q000235:genetics* / Q000628:therapy*; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods* / Q000639:trends; D023281:Genomics / Q000379:methods* / Q000639:trends; D006801:Humans; D057285:Precision Medicine / Q000379:methods* / Q000639:trends*; D011379:Prognosis
chemical_list: D015415:Biomarkers
keywords: breast cancer; molecular oncology; personalized medicine; pharmacogenomics