title: Genomic classifications and radiotherapy for breast cancer.
abstract: The current therapeutic strategy in breast cancer rests on standard prognostic factors such as size, histological grade, nodal and hormone receptor status. However, over the last decade, a new form of molecular classification has emerged to complement the classical clinico-pathological staging. Models based on tumour genome have been developped to help predict the risk of relapse, and are currently being evaluated. This improved risk stratification tool would enable the identification of patients who would benefit from systemic as well as local treatments. This paper aims to give an overview of the radiobiological implications in particular of this new classification, by looking at on the one hand, predictors of local relaspe, and on the other hand, the modulation in radiotherapy according to molecular type.
authors.affiliation: Radiation Oncology Department, Institut Gustave Roussy, Villejuif, France.
authors.forename: Anna
authors.initials: A
authors.lastname: Britten
authors.forename: Christine
authors.initials: C
authors.lastname: Rossier
authors.forename: Naila
authors.initials: N
authors.lastname: Taright
authors.forename: Patrick
authors.initials: P
authors.lastname: Ezra
authors.forename: Céline
authors.initials: C
authors.lastname: Bourgier
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics* / Q000532:radiotherapy*; D023281:Genomics / Q000379:methods*; D006801:Humans; D012008:Recurrence; D012306:Risk; D016896:Treatment Outcome
keywords: Breast cancer; Molecular classification; Molecular subtype; Prognostic marker; Radiobiology