title: Application of proteomic technologies for prostate cancer detection, prognosis, and tailored therapy.
abstract: Prostate cancer affects 3 in 10 men over the age of 50 years, and, unfortunately, the clinical course of the disease is poorly predicted. At present, there is no means that can distinguish indolent from aggressive/metastatic tumors. Thus, a personalized clinical approach could be helpful in diagnosing clinically relevant disease and guiding appropriate patient therapy. Individualized medicine requires a deep knowledge of the molecular mechanisms underpinning prostate cancer carcinogenesis. Proteomics may be the most powerful way to uncover biomarkers of detection, prognosis, and prediction, as proteins do the work of the cell and represent the majority of the diagnostic markers and drug targets today. Proteomic technologies are rapidly advancing beyond the two-dimensional gel separation techniques of the past to new types of mass spectrometry and protein microarray analyses. Biological fluids and tissue-cell proteomes from men with prostate cancer are being explored to identify diagnostic and prognostic biomarkers and therapeutic targets using these new proteomic approaches. Traditional and novel proteomic technology and their application to prostate cancer studies in translational research will be presented and discussed in this review. Proteomics coupled with powerful nanotechnology-based biomarker discovery approaches may provide a new and exciting opportunity for body fluid-borne biomarker discovery and characterization. While innovative mass spectrometry technology and nanotrap could be applied to improve the discovery and measurement of biomarkers for the early detection of prostate cancer, the use of tissue proteomic tools such as the reverse-phase protein microarray may provide new approaches for personalization of therapies tailored to each tumor's unique pathway activation network.
authors.affiliation: Department of Urology, S. Giovanni Bosco Hospital, Turin, Italy.
authors.forename: Claudia
authors.initials: C
authors.lastname: Fredolini
authors.forename: Lance A
authors.initials: LA
authors.lastname: Liotta
authors.forename: Emanuel F
authors.initials: EF
authors.lastname: Petricoin
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D006801:Humans; D008297:Male; D013058:Mass Spectrometry / Q000379:methods; D046228:Microarray Analysis / Q000379:methods; D036103:Nanotechnology / Q000379:methods*; D057285:Precision Medicine / Q000379:methods* / Q000639:trends; D017430:Prostate-Specific Antigen / Q000032:analysis; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000188:drug therapy; D040901:Proteomics / Q000379:methods*
chemical_list: D015415:Biomarkers; D017430:Prostate-Specific Antigen