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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Plasma Lipidomic Fingerprinting to Distinguish among Hepatitis C-related Hepatocellular Carcinoma, Liver Cirrhosis, and Chronic Hepatitis C using MALDI-TOF Mass Spectrometry: a Pilot Study

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Author(s):
Passos-Castilho, Ana Maria [1] ; Lo Turco, Edson [2] ; Ferraz, Maria Lucia [3] ; Matos, Carla [3] ; Silva, Ivonete [3] ; Parise, Edison [3] ; Pilau, Eduardo [4, 5] ; Gozzo, Fabio [4] ; Granato, Celso [1]
Total Authors: 9
Affiliation:
[1] Univ Fed Sao Paulo, Dept Med, Sao Paulo, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Surg, Sao Paulo, SP - Brazil
[3] Univ Fed Sao Paulo, Dept Gastroenterol, Sao Paulo, SP - Brazil
[4] Univ Estadual Campinas, Inst Chem, Campinas, SP - Brazil
[5] Univ Maringa, Dept Chem, Maringa, Parana - Brazil
Total Affiliations: 5
Document type: Journal article
Source: JOURNAL OF GASTROINTESTINAL AND LIVER DISEASES; v. 24, n. 1, p. 43-49, MAR 2015.
Web of Science Citations: 1
Abstract

Background \& Aims: Hepatitis C (HC) is a major cause of hepatocellular carcinoma (HCC), and a late diagnosis is the main factor for the poor survival of patients. There is an urgent need for identifying sensitive and specific biomarkers for HCC diagnosis. In the present study, plasma lipid patterns of patients with HCHCC, HC-liver cirrhosis (LC), and chronic HC (CHC) were assessed by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). Methods. Plasma samples of 25 patients with HC-HCC, 15 patients with HC-LC, and 25 patients with CHC were evaluated by MALDI-MS using a Q-ToF premier (Synapt) mass spectrometer (Waters, Manchester, UK) equipped with a 200-Hz solid-state laser in the mass range between m/z (mass-to-charge ratio) of 700-1200. Results. A total of 2205 ions were initially obtained and 7 ions (m/z) were highlighted as corresponding to the most important lipids to differentiate HCC patients from LC and CHC patients. The specific lipidomic expression signature generated resulted in an overall predictive accuracy of 93% of HC-HCC and HC-LC, and 100% of HC-HCC and CHC. The 7-peak algorithm distinguished HCC from LC with a sensitivity of 96% and a specificity of 87%, and HCC from CHC with both sensitivity and specificity of 100%. Conclusion. MALDI-MS-specific signature peaks accurately distinguished patients with HC-HCC from those with FIC-LC and CHC. The results indicate the potential of MALDI-MS and the selected peaks to improve HCC surveillance in patients with viral C cirrhosis and chronic hepatitis C. (AU)

FAPESP's process: 13/03701-0 - Identification of lipidomic markers with diagnostic potential in hepatocellular carcinoma
Grantee:Ana Maria Passos
Support Opportunities: Scholarships in Brazil - Doctorate