Screening of serum biomarkers related to the tumor recurrence following liver transplantation for hepatocellular carcinoma / 中华器官移植杂志

ABSTRACT

Objective To appraise and compare protein expression profiles in sera of patients without or with recurrence following liver transplantation for hepatocellular carcinoma (HCC) using SELDI-TOF-MS technique,and establish the diagnostic and predictive model. Methods A total of 76 sera (41 from disease free survival patients and 35 from recurrence individuals) were collected pretransplantation and differentially expressed proteins were identified by SELDI-TOF-MS. The intensity values for each peak were analyzed by Biomarker Wizard Software to screen serum proteome biomarkers related to the recurrence post-transplantation. By using Biomarker Patterns Software, the classification trees were generate. from randomly selected samples (30 fingerprints obtained from each group). The sensitivity and specificity of best decision tree were then chosen for blind test with 16 samples (5 from recurrence individuals and 11 from recurrence-free survival patients). Results There were significant differences only in tumor size and the presence of vascular invasion between recurrence group and recurrence-free survival group (P＜0.05). According to serum protein fingerprints, a total of 368 protein peaks were identified at the mass-to-charge ratio (M/Z) value ranging from 2000 to 300 00. There were 22 significant differential proteins between two groups. Among them, 9 proteins were up-regulated and 13 proteins were down-regulated -espectively in recurrence group. The intensity values of differential proteins were input into BPS for classification tree analysis and the best performing tree could distinguish two groups successfully. As a result of blind assessment for this model,a sensitivity of 80.0 % (4/5) and specificity of 72.7 % (8/11) were obtained. Conclusion Some of differential proteins screened by SELDI-TOF-MS technique in the serum may be correlated with the prognoses of liver transplantation patients with HCC. The decision tree may be useful for the clinical application of formulating the indication for liver transplantation, detecting extrahepatic micrometastasis and setting up the diagnostic and treatment strategies.