title: Reverse phase protein arrays: mapping the path towards personalized medicine.
abstract: Reverse phase protein array (RPPA) technology evolved from the advent of miniaturized immunoassays and gene microarray technology. Reverse phase protein arrays provide either a low throughput or high throughput methodology for quantifying proteins and their post-translationally modified forms in both cellular and non-cellular samples. As the demand for patient tailored therapies increases so does the need for precise and sensitive technology to accurately profile the molecular circuitry driving an individual patient's disease. RPPAs are currently utilized in clinical trials for profiling and comparing the functional state of protein signaling pathways, either temporally within tumors, between patients, or within the same patients before/after treatment. RPPAs are generally employed for quantifying large numbers of samples on one array, under identical experimental conditions. However, the goal of personalized cancer medicine is to design therapies based on the molecular portrait of a patient's tumor, which in turn result in more efficacious treatments with less toxicity. Therefore, RPPAs are also being validated for low throughput assays of individual patient samples. This review explores RPPA technology in the cancer research field, concentrating on its role as a fundamental tool for deciphering protein signaling networks and its emerging role in personalized medicine.
authors.affiliation: Center for Applied Proteomics and Molecular Medicine, George Mason University, 10900 University Blvd, MS1A9, Manassas, VA, 20110, USA.
authors.forename: Rosa I
authors.initials: RI
authors.lastname: Gallagher
authors.forename: Virginia
authors.initials: V
authors.lastname: Espina
mesh_terms: D006801:Humans; D009363:Neoplasm Proteins / Q000032:analysis*; D009369:Neoplasms / Q000175:diagnosis / Q000378:metabolism* / Q000628:therapy; D057285:Precision Medicine; D040081:Protein Array Analysis / Q000379:methods*; D040901:Proteomics / Q000379:methods*; D015398:Signal Transduction
chemical_list: D009363:Neoplasm Proteins