Metabolic Profiling Of Plasma: Potential In Oral Cancer Diagnosis And Prognostic
Giovana POLACHINI, School of Medicine of São José do Rio Preto, Brazil
DA SILVA I. 2
, GENCAPO H. 3
, TAJARA E. 1
, DA CUNHA B. 1
1 Department of Molecular Biology, School of Medicine of São José do Rio Preto, São José do Rio Preto, SP, Brazil
2 2Department of Gynecology, Federal University of São Paulo, São Paulo, SP, Brazil.
Introduction and Purpose: Oral squamous cell carcinoma (OSCC), the most common type of oral cancer, arises from the mucosal lining of the oral cavity and oropharynx, and accounts for more than 300,000 new cases worldwide annually. Despite intense research and recent advances in diagnosis and therapy, the five-year survival rate (about 50%) for this disease has not significantly changed over the past two decades. The objective of the present study was to investigate differentially expressed metabolites in plasma from patiens with oral cancer that can serve as potential biomarkers for prognosis and monitoring of OSCC.
Experimental description: Targeted metabolite analysis was carried out on 30 plasma samples from patients with OSCC and 12 controls for the quantitation of amino acids, biogenic amines, acylcarnitines, hexose, and lipids. The assay was based on phenylisothiocyanate-derivatization followed by flow injection analysis tandem mass spectrometry (FIA-MS/MS) and liquid chromatography LC-MS/MS. The normalized data were processed using MetaboAnalyst software for statistical analysis.
Results and Discussion: Significant differences in the concentration of 25 metabolites were observed between plasma from OSCC patients and controls. Similarly, the rate of free carnitine/phosphatidylcholine was able to discriminate patients at different stages of OSCC and isoleucine/methionine levels significantly were correlated with node metastasis. The results also showed that urea and citrulline/arginine cycles are involved in oral tumorigenesis and that increased glutaminolysis occurs during tumor progression. In conclusion, we could demonstrate that non-invasive metabolite analysis of plasma has a potential role in improving early diagnosis and prognosis of OSCC.
Financial Support: FAPESP, CNPq.