title: Next generation analysis of breast cancer genomes for precision medicine.
abstract: For many years breast cancer classification has been based on histology and immune-histochemistry. New techniques, more strictly related to cancer biology, partially succeeded in fractionating patients, correlated to survival and better predicted the patient response to therapy. Nowadays, great expectations arise from massive parallel or high throughput next generation sequencing. Cancer genomics has already revolutionized our knowledge of breast cancer molecular pathology, paving the way to the development of new and more effective clinical protocols. This review is focused on the most recent advances in the field of cancer genomics and epigenomics, including DNA alterations and driver gene mutations, gene fusions, DNA methylation and miRNA expression.
authors.affiliation: LTTA, Dept. of Morphology, Surgery and Experimental Medicine, Human Anatomy Branch, University of Ferrara, Italy.
authors.forename: Maurizio
authors.initials: M
authors.lastname: Previati
authors.forename: Marco
authors.initials: M
authors.lastname: Manfrini
authors.forename: Marco
authors.initials: M
authors.lastname: Galasso
authors.forename: Carlotta
authors.initials: C
authors.lastname: Zerbinati
authors.forename: Jeff
authors.initials: J
authors.lastname: Palatini
authors.forename: Pierluigi
authors.initials: P
authors.lastname: Gasparini
authors.forename: Stefano
authors.initials: S
authors.lastname: Volinia
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics*; D005260:Female; D015894:Genome, Human; D023281:Genomics / Q000379:methods; D006801:Humans
keywords: Breast cancer; Epigenomics; Next generation sequencing; Oncogenomics; miRNA