title: Proteomic classification of breast cancer.
abstract: Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.
authors.affiliation: Department of Medical Oncology, Our Lady of Lourdes Hospital, Drogheda, Ireland. dsskamel@hotmail.com
authors.forename: Dalia
authors.initials: D
authors.lastname: Kamel
authors.forename: Bernadette
authors.initials: B
authors.lastname: Brady
authors.forename: Adel
authors.initials: A
authors.lastname: Tabchy
authors.forename: Gordon B
authors.initials: GB
authors.lastname: Mills
authors.forename: Bryan
authors.initials: B
authors.lastname: Hennessy
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000032:analysis* / Q000235:genetics; D001943:Breast Neoplasms / Q000737:chemistry* / Q000145:classification / Q000235:genetics / Q000473:pathology; D005260:Female; D006801:Humans; D009363:Neoplasm Proteins / Q000032:analysis* / Q000235:genetics; D057285:Precision Medicine; D011237:Predictive Value of Tests; D011379:Prognosis; D040901:Proteomics / Q000379:methods
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins