title: Implications of functional proteomics in breast cancer.
abstract: Breast cancer is one of the major public health problems of the Western world. Recent advances in genomics and gene expression-profiling approaches have enriched our understanding of this heterogeneous disease. However, progress in functional proteomics in breast cancer research has been relatively slow. Allied with genomics, the functional proteomics approach will be important in improving diagnosis through better classification of breast cancer and in predicting prognosis and response to different therapies, including chemotherapy, hormonal therapy, and targeted therapy. In this review, we will present functional proteomic approaches with a focus on the recent clinical implications of utilizing the reverse-phase protein array platform in breast cancer research.
authors.affiliation: Division of Cancer Medicine and Departments of Breast Medical Oncology and Systems Biology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
authors.forename: Young Kwang
authors.initials: YK
authors.lastname: Chae
authors.forename: Ana Maria
authors.initials: AM
authors.lastname: Gonzalez-Angulo
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000628:therapy*; D055808:Drug Discovery; D005260:Female; D020869:Gene Expression Profiling; D057166:High-Throughput Screening Assays; D006801:Humans; D011379:Prognosis; D040081:Protein Array Analysis; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D014408:Biomarkers, Tumor
keywords: Breast cancer; Functional proteomics; Predictive marker; Prognostic marker