Identifying serological biomarkers of hepatocellular carcinoma using surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy
| Autor: | Wei-Ping Yuan, Ke-Chen Ban, Feixiang Wu, Shang Huang, Qi Wang, Yin-Nong Zhao, Jian-Yong Liu, Zhi-Ming Zhang |
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| Rok vydání: | 2008 |
| Předmět: |
Oncology
Liver Cirrhosis Male Cancer Research medicine.medical_specialty Pathology Cirrhosis Carcinoma Hepatocellular Proteome Chemokine CXCL1 Molecular Sequence Data Proteomics Sensitivity and Specificity Internal medicine Carcinoma medicine Biomarkers Tumor Humans Amino Acid Sequence Hepatitis business.industry Liver Neoplasms Thrombin medicine.disease Hepatitis B digestive system diseases Surface-enhanced laser desorption/ionization Matrix-assisted laser desorption/ionization Hepatocellular carcinoma Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Multivariate Analysis Biomarker (medicine) alpha-Fetoproteins business |
| Zdroj: | Cancer letters. 279(2) |
| ISSN: | 1872-7980 |
| Popis: | Lack of sensitive and specific biomarkers is a major reason for the high rate of hepatocellular carcinoma (HCC) related mortality. The aim of this study was to use surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy (SELDI-TOF-MS) technology to identify potential protein patterns specific for HCC. Eighty-one patients with hepatitis B-related HCC and 80 healthy controls were randomly divided into a training set (48 HCC, 47 controls) and a testing set (33 HCC, 33 controls). Serum proteomic profiles were measured using SELDI-TOF-MS. A classification tree was established by Biomarker Pattern Software. Candidate biomarkers were separated by HPLC and identified by MALDI-MS/MS and database searching. Forty-eight HCC cases, 54 liver cirrhosis cases and 42 healthy people were clinically validated using candidate biomarkers by SELDI-Immunoassay. Two up-regulated protein peaks were automatically chosen as a classification tree in the training set. These biomarkers were identified as thrombin light chain and growth related oncogene-alpha (GRO-alpha). The sensitivity and specificity of this classification tree were 89.6%. The multivariate model using the two biomarkers and AFP resulted in a sensitivity of 91.7% and specificity of 92.7%, which was significantly better than that of alpha-fetoprotein alone. We conclude that thrombin light chain and GRO-alpha are potential biomarkers of HCC. |
| Databáze: | OpenAIRE |
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