Tissue polypeptide specific antigen as a marker used to determine the liver diseases

Serum thioredoxin is a diagnostic marker for hepatocellular carcinoma

Here we found that serum levels of thioredoxin were increased in patients with hepatocellular carcinoma (HCC). The optimum diagnostic cutoff for thioredoxin was 20.5 ng/mL (area under curve [AUC] 0.946 [95% CI 0.923–0.969] in the training cohort; 0.941 [0.918–0.963] in the validation cohort). High serum concentrations of thioredoxin differentiated HCC from chronic liver diseases and cirrhosis (0.901 [0.875–0.923] in the training cohort; 0.906 [0.870–0.925] in the validation cohort). Furthermore, a higher proportion of patients with very early HCC had positive results for thioredoxin than for alpha-Fetoprotein (AFP) (73.7% VS.31.6%; P < 0.0001). Among AFP-negative patients with very early HCC, 18 (69.2%) of 26 had positive thioredoxin results. Our results indicate that serum thioredoxin complements measurement of AFP in the diagnosis of HCC, especially in very early disease. Combined model (thioredoxin and AFP) showed a significantly greater discriminatory ability as compared with those markers alone.

Expression of Ku86 and presence of Ku86 antibody as biomarkers of hepatitis B virus related hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is a common disease and the third leading cause of cancer-related deaths worldwide. Level of the 82-kDa ATP-dependent DNA helicase II (Ku86) increases in some tumors, but its clinical use as a marker for HCC is rare.

AIMS

To examine the relationship between increases in Ku86 and the development of hepatitis B virus (HBV)-related HCC to define the relationship between Ku86 and HCC.

METHODS

Expression of Ku86 in tumor tissue, para-tumor tissue, and normal tissue was examined by immunohistochemistry, and Ku86 antibody titers in patient serum collected pre- and post-operatively were measured by ELISA. Long-term survival of the patients was also monitored.

RESULTS

Ku86 staining in tumors was much stronger than in para-tumor and normal tissues. The expression of Ku86 was related to the tumor size, TNM stage, and tumor differentiation but not to gender, age, Child-Pugh score, tumor number, or α-fetoprotein levels. The long-term survival of patients with low Ku86 expression was longer. Patients with HCC had higher pre-operative Ku86 antibody levels. After surgical intervention, Ku86 antibody levels in patients with HCC declined significantly. Survival analysis showed that double-positive patients had the lowest survival rate, double-negative patients had the highest. Receiver operating characteristic curve analysis showed no significant difference between the AFP and Ku86 antibody. Multivariate analysis showed that Ku86 protein and Ku86 antibodies were independent prognostic factors of overall survival.

CONCLUSIONS

Ku86 and Ku86 antibodies are promising tumor markers for early detection and prognosis prediction of HBV-related HCC.

A sandwich-type immunosensor using Pd-Pt nanocrystals as labels for sensitive detection of human tissue polypeptide antigen

A sandwich-type immunosensor was developed for the detection of human tissue polypeptide antigen (hTPA). In this work, a graphene sheet (GS) was synthesized to modify the surface of a glassy carbon electrode (GCE), and Pd-Pt bimetallic nanocrystals were used as secondary-antibody (Ab2) labels for the fabrication of the immunosensor. The amperometric response of the immunosensor for catalyzing hydrogen peroxide (H2O2) was recorded. And electrochemical impedance spectroscopy was used to characterize the fabrication process of the immunosensor. The anti-human tissue polypeptide antigen primary antibody (Ab1) was immobilized onto the GS modified GCE via cross-linking with 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride and N-hydroxysuccinimide (EDC/NHS). With Ab1 immobilized onto the GS modified GCE and Ab2 linked on Pd-Pt bimetallic nanocrystals, the immunosensor demonstrated a wide linear range (0.0050-15 ng ml(-1)), a low detection limit (1.2 pg ml(-1)), good reproducibility, good selectivity and acceptable stability. This design strategy may provide many potential applications in the detection of other cancer biomarkers.