title: Breast cancer classification by proteomic technologies: current state of knowledge.
abstract: Breast cancer is traditionally considered as a heterogeneous disease. Molecular profiling of breast cancer by gene expression studies has provided us an important tool to discriminate a number of subtypes. These breast cancer subtypes have been shown to be associated with clinical outcome and treatment response. In order to elucidate the functional consequences of altered gene expressions related to each breast cancer subtype, proteomic technologies can provide further insight by identifying quantitative differences at the protein level. In recent years, proteomic technologies have matured to an extent that they can provide proteome-wide expressions in different clinical materials. This technology can be applied for the identification of proteins or protein profiles to further refine breast cancer subtypes or for discovery of novel protein biomarkers pointing towards metastatic potential or therapy resistance in a specific subtype. In this review, we summarize the current state of knowledge of proteomic research on molecular breast cancer classification and discuss important aspects of the potential usefulness of proteomics for discovery of breast cancer-associated protein biomarkers in the clinic.
authors.affiliation: Department of Medical Oncology, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands. Electronic address: sw.lam@vumc.nl.
authors.forename: S W
authors.initials: SW
authors.lastname: Lam
authors.forename: C R
authors.initials: CR
authors.lastname: Jimenez
authors.forename: E
authors.initials: E
authors.lastname: Boven
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000097:blood* / Q000378:metabolism; D001943:Breast Neoplasms / Q000097:blood* / Q000145:classification / Q000378:metabolism; D019008:Drug Resistance, Neoplasm; D005260:Female; D006801:Humans; D013058:Mass Spectrometry; D020543:Proteome / Q000378:metabolism*; D040901:Proteomics; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000378:metabolism
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome; D018719:Erb-b2 Receptor Tyrosine Kinases; C508053:ERBB2 protein, human
keywords: Biomarkers; Breast cancer; Molecular subtypes; Proteomics; Review