Identifying serological biomarkers of hepatocellular carcinoma using surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy

作者：Wu, Fei Xiang; Wang, Qi; Zhang, Zhi Ming; Huang, Shang; Yuan, Wei Ping; Liu, Jian Yong; Ban, Ke Chen^*; Zhao, Yin Nong

来源：Cancer Letters, 2009, 279(2): 163-170.

DOI：10.1016/j.canlet.2009.01.034

• Hepatocellular carcinoma
• Serum
• Proteomics
• Biomarker
• Surface-enhanced laser desorption/ionization-time-of-flight mass spectroscopy

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 upregulated 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. Published by Elsevier Ltd.

• 出版日期2009-7-8
• 单位广西医科大学