title: Proteomic analysis in cancer research: potential application in clinical use.
abstract: The ultimate goal of cancer proteomics is to adapt proteomic technologies for routine use in clinical laboratories for the purpose of diagnostic and prognostic classification of disease states, as well as in evaluating drug toxicity and efficacy. The novel technologies allows researchers to facilitate the comprehensive analyses of genomes, transcriptomes, and proteomes in health and disease. The information that is expected from such technologies may soon exert a dramatic change in cancer research and impact dramatically on the care of cancer patients. Analysis of tumor-specific proteomic profiles may also allow better understanding of tumor development and the identification of novel targets for cancer therapy. The localization of gene products, which is often difficult to deduce from the sequence, can be determined experimentally. Mechanisms, such as regulation of protein function by proteolysis, recycling, and isolation in cell compartments, affect gene products, not genes. Finally, protein-protein interactions and the molecular composition of cellular structures can be determined only at the protein level. The biological variability among patient samples as well as the great dynamic range of biomarker concentrations are currently the main challenges facing efforts to deduce diagnostic patterns that are unique to specific disease states. While several strategies exist to address this problem, we have tried to offer a wide perspective about the current possibilities.
authors.affiliation: Laboratory of Pharmacogenomics, Center for Medical Applied Research, Department of Oncology and Radiotherapy, University Clinic, University of Navarra, Pamplona, Spain. jgfoncillas@unav.es
authors.forename: Jesús
authors.initials: J
authors.lastname: García-Foncillas
authors.forename: Eva
authors.initials: E
authors.lastname: Bandrés
authors.forename: Ruth
authors.initials: R
authors.lastname: Zárate
authors.forename: Natalia
authors.initials: N
authors.lastname: Remírez
mesh_terms: D000912:Antibodies, Neoplasm / Q000276:immunology; D014408:Biomarkers, Tumor; D002846:Chromatography, Affinity; D042241:Early Diagnosis; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D020869:Gene Expression Profiling; D006801:Humans; D013058:Mass Spectrometry / Q000379:methods; D009363:Neoplasm Proteins / Q000032:analysis / Q000145:classification* / Q000235:genetics / Q000276:immunology; D009369:Neoplasms / Q000737:chemistry* / Q000175:diagnosis / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D040901:Proteomics; D012984:Software; D013048:Specimen Handling; D013382:Subtraction Technique
chemical_list: D000912:Antibodies, Neoplasm; D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins