Identification of tumour-related proteins as potential screening markers by proteome analysis-protein profiles of human saliva as a predictive and prognostic tool.
The analysis of biomarkers in saliva as a clinical application offers an attractive, simple and rapid diagnostic tool for the short- and long-term monitoring of pathological disorders and drug therapy. The collection of saliva, either in the pure or in its fractionated form, is a relatively easy and non-invasive procedure that is not harmful to the patients and has no complications at all. However, the fluid collection must be clearly defined due to variations in saliva composition, flow rate and day-to-day variability. In order to minimise possible variations, saliva from five patients without squamous cell carcinoma (SCC) pathology and five with suspicion of oral squamous carcinoma (OSCC) were collected and matched at different days and analysed by two-dimensional polyacrylamide gel electrophoresis (2DE-PAGE). Approximately 800 spots were identified, corresponding to 151 different gene products. The list of identified proteins includes a large number of structural proteins like keratins, keratin subunits, enzymes and enzyme inhibitors, cytokines, immunoglobulins as well as amylase and other salivary specific glycoproteins. The majority of proteins that are localised in oral epithelia cells were found as unsolved debris in saliva. One of the identified proteins was significantly overexpressed in OSCC and was selected for further validation by Western blot analysis.
Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, A-1090 Vienna, Austria.
Kurt
K
Krapfenbauer
Department of Molecular Biotechnology, University of Applied Science Vienna, Helmut-Qualtinger-Gasse 2, A-1090 Vienna, Austria.
Elisabeth
E
Drucker
Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, A-1090 Vienna, Austria.
Dietmar
D
Thurnher
Disease monitoring; Individual patient profiles; Oral squamous cell carcinoma; Patient self-management; Predictive medicine; Saliva proteomics; Tailored therapy; Targeted prevention