Title |
Serum lipidomic profiling as a useful tool for screening potential biomarkers of hepatitis B-related hepatocellular carcinoma by ultraperformance liquid chromatography–mass spectrometry
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Published in |
BMC Cancer, December 2015
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DOI | 10.1186/s12885-015-1995-1 |
Pubmed ID | |
Authors |
Ana Maria Passos-Castilho, Valdemir Melechco Carvalho, Karina Helena Morais Cardozo, Luciana Kikuchi, Aline Lopes Chagas, Michele Soares Gomes-Gouvêa, Fernanda Malta, Ana Catharina de Seixas-Santos Nastri, João Renato Rebello Pinho, Flair José Carrilho, Celso Francisco Hernandes Granato |
Abstract |
Chronic hepatitis B (CHB) virus infection is a major cause of hepatocellular carcinoma (HCC), as late diagnosis is the main factor for the poor survival of patients. There is an urgent need for accurate biomarkers for early diagnosis of HCC. The aim of the study was to explore the serum lipidome profiles of hepatitis B-related HCC to identify potential diagnostic biomarkers. An ultraperformance liquid chromatography mass spectrometry (UPLC-MS) lipidomic method was used to characterize serum profiles from HCC (n = 32), liver cirrhosis (LC) (n = 30), CHB (n = 25), and healthy subjects (n = 34). Patients were diagnosed by clinical laboratory and imaging evidence and all presented with CHB while healthy controls had normal liver function and no infectious diseases. The UPLC-MS-based serum lipidomic profile provided more accurate diagnosis for LC patients than conventional alpha-fetoprotein (AFP) detection. HCC patients were discriminated from LC with 78 % sensitivity and 64 % specificity. In comparison, AFP showed sensitivity and specificity of 38 % and 93 %, respectively. HCC was differentiated from CHB with 100 % sensitivity and specificity using the UPLC-MS approach. Identified lipids comprised glycerophosphocolines, glycerophosphoserines and glycerophosphoinositols. UPLC-MS lipid profiling proved to be an efficient and convenient tool for diagnosis and screening of HCC in a high-risk population. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 10 | 21% |
Researcher | 8 | 17% |
Student > Ph. D. Student | 8 | 17% |
Other | 5 | 10% |
Student > Bachelor | 3 | 6% |
Other | 6 | 13% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 19 | 40% |
Medicine and Dentistry | 9 | 19% |
Agricultural and Biological Sciences | 3 | 6% |
Engineering | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Other | 3 | 6% |
Unknown | 10 | 21% |