Serum proteomics and biomarkers in hepatocellular carcinoma and chronic liver disease
| Autor: | Nezam H. Afdhal, Towia A. Libermann, John M. Asara, Meghan P. Wells, Hasan H. Otu, Killimangalam Bhaskar, Dimitrios Spentzos, Noah T Zinkin, Franck Grall, Brett D. Kalmowitz, Manuel C. Guerrero |
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| Rok vydání: | 2008 |
| Předmět: |
Adult
Liver Cirrhosis Male Proteomics Cancer Research medicine.medical_specialty Pathology Cirrhosis Carcinoma Hepatocellular Hepatitis C virus Chronic liver disease medicine.disease_cause Gastroenterology Sensitivity and Specificity Internal medicine medicine Carcinoma Biomarkers Tumor Humans Cystatin C neoplasms Aged Aged 80 and over business.industry Liver Neoplasms Cancer Hepatitis C Hepatitis C Chronic Middle Aged medicine.disease Cystatins digestive system diseases Oncology Hepatocellular carcinoma Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Multivariate Analysis Female alpha-Fetoproteins Liver cancer business |
| Zdroj: | Clinical cancer research : an official journal of the American Association for Cancer Research. 14(2) |
| ISSN: | 1078-0432 |
| Popis: | Purpose: Proteomic profiling using surface enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF MS) enables the identification of biomarkers for cancer. We evaluated the sensitivity and specificity of SELDI-TOF MS for detection of established hepatocellular cancer (HCC) and compared it against α-fetoprotein (AFP), Lens culinaris agglutinin–reactive AFP (AFP-L3), and prothrombin induced by vitamin K absence-II (PIVKA-II). Experimental Design: Forty-one patients with HCC and 51 patients with hepatitis C cirrhosis were enrolled. Serum was analyzed by SELDI-TOF MS using three Ciphergen protein array types. Results: An 11-peak algorithm for HCC detection was identified. Using the AFP cutoff of 20 ng/mL, the sensitivity was 73% and the specificity was 71%. Using the AFP-L3 cutoff of 10% yielded a sensitivity of 63% and a specificity of 94%. Using the PIVKA-II cutoff of 125 milliabsorbance units (mAU), the sensitivity was 84% and the specificity was 69%. Overall, the sensitivity and specificity of SELDI-TOF MS for HCC were 79% and 86%, respectively. In multivariate analysis, the 11-peak SELDI profile was predictive of HCC independent of AFP, PIVKA, and AFP-L3. Among eight patients with the largest tumor size of Conclusions: SELDI-TOF MS accurately distinguished patients with HCC from those with hepatitis C virus cirrhosis, was more accurate than traditional biomarkers in identifying small tumors, and should be further evaluated. |
| Databáze: | OpenAIRE |
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