The possible role of Dickkopf-1, Golgi protein- 73 and Midkine as predictors of hepatocarcinogenesis: a review and an Egyptian study.

Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. The use of alpha fetoprotein (AFP) alone was not an accurate biomarker for HCC despite its high specificity. Therefore, we assessed the possible role of serum biomarkers that have been mentioned briefly in previous studies on Egyptian patients ion top of HCV. However these studies included small number of patients and did not assess the different stages of hepatocarcinogenesis. In the current study we assessed 1) the expression levels of Golgi protein 37(GP73),Midkine (MDK) and Dickkopf-1(DKK-1) proteins separately and in combination at different stages of hepatocarcinogenesis. GP73, MDK and DKK-1 proteins were assessed in 238 individuals divided into 4 groups (HCC, chronic HCV, and chronic HCV with cirrhosis and healthy subjects as a control) Serum levels of GP73, MDK, and DKK-1 were assessed in all subjects by ELISA. Serum levels of the studied markers were significantly higher in HCC compared to other groups (p < 0.001). The ROC curve analysis for the studied markers showed 1) 88.5% sensitivity, 80.6% specificity, 69% PPV, 93.5% NPV and (AUC 0.91)for MDK; 2) 93.6%, 86.9%, 77.7%, 96.5% for DKK-1. 3) 91%, 85%, 74.7%, 95% (AUC 0.96) for GP73 and 4) 74.4%, 84.4%, 69.9%, 87.1% (AUC 0.81) for AFP. Serum levels of GP73, MDK, and DKK-1 are comparable to AFP as promising predictor biomarkers for HCC patients from Egypt. A two markers panel including Gp73 and DKK-1 showed the highest specificity and sensitivity among different markers combinations.

Early detection of hepatocellular carcinoma co-occurring with hepatitis C virus infection: A mathematical model.

AIM: To develop a mathematical model for the early detection of hepatocellular carcinoma (HCC) with a panel of serum proteins in combination with α-fetoprotein (AFP). METHODS: Serum levels of interleukin (IL)-8, soluble intercellular adhesion molecule-1 (sICAM-1), soluble tumor necrosis factor receptor II (sTNF-RII), proteasome, and ß-catenin were measured in 479 subjects categorized into four groups: (1) HCC concurrent with hepatitis C virus (HCV) infection (n = 192); (2) HCV related liver cirrhosis (LC) (n = 96); (3) Chronic hepatitis C (CHC) (n = 96); and (4) Healthy controls (n = 95). The R package and different modules for binary and multi-class classifiers based on generalized linear models were used to model the data. Predictive power was used to evaluate the performance of the model. Receiver operating characteristic curve analysis over pairs of groups was used to identify the best cutoffs differentiating the different groups. RESULTS: We revealed mathematical models, based on a binary classifier, made up of a unique panel of serum proteins that improved the individual performance of AFP in discriminating HCC patients from patients with chronic liver disease either with or without cirrhosis. We discriminated the HCC group from the cirrhotic liver group using a mathematical model (-11.3 + 7.38 × Prot + 0.00108 × sICAM + 0.2574 × ß-catenin + 0.01597 × AFP) with a cutoff of 0.6552, which achieved 98.8% specificity and 89.1% sensitivity. For the discrimination of the HCC group from the CHC group, we used a mathematical model [-10.40 + 1.416 × proteasome + 0.002024 × IL + 0.004096 × sICAM-1 + (4.251 × 10(-4)) × sTNF + 0.02567 × ß-catenin + 0.02442 × AFP] with a cutoff 0.744 and achieved 96.8% specificity and 89.7% sensitivity. Additionally, we derived an algorithm, based on a binary classifier, for resolving the multi-class classification problem by using three successive mathematical model predictions of liver disease status. CONCLUSION: Our proposed mathematical model may be a useful method for the early detection of different statuses of liver disease co-occurring with HCV infection.

Serum biomarkers for early detection of hepatocellular carcinoma associated with HCV infection in egyptian patients.

BACKGROUND: Early detection of hepatocellular carcinoma using serological markers with better sensitivity and specificity than alpha fetoprotein (AFP) is needed. AIMS: The aim of this study was to evaluate the diagnostic value of serum sICAM-1, ß-catenin, IL-8, proteasome and sTNFR-II in early detection of HCC. MATERIALS AND METHODS: Serum levels of IL-8, sICAM-1, sTNFR-II, proteasome and ß-catenin were measured by ELISA assay in 479 serum samples from 192 patients with HCC, 96 patients with liver cirrhosis (LC), 96 patients with chronic hepatitis C (CHC) and 95 healthy controls. RESULTS: Serum levels of proteasome, sICAM-1, ß-catenin and αFP were significantly elevated in HCC group compared to other groups (P-value<0.001), where serum level of IL-8 was significantly elevated in the LC and HCC groups compared to CHC and control groups (P-value <0.001), while no significant difference was noticed in patients with HCC and LC (P-value=0.09). Serum level of sTNFR- II was significantly elevated in patients with LC compared to HCC, CHC and control groups (P-value <0.001); also it was significantly higher in HCC compared to CHC and control groups (P-value <0.001). ROC curve analysis of the studied markers between HCC and other groups revealed that the serum level of proteasome had sensitivity of 75.9% and specificity of 73.4% at a cut-off value of 0.32 µg/ml with AUC 0.803 sICAM-1 at cut off value of 778ng/ml, the sensitivity was 75.8% and the specificity was 71.8% with AUC 0.776. ß-catenin had sensitivity and specificity of 70% and 68.6% respectively at a cut off value of 8.75ng/ml with an AUC of 0.729. sTNFR-II showed sensitivity of 86.3% and specificity of 51.8% at a cut off value of 6239.5pg/ml with an AUC of 0.722. IL-8 had sensitivity of 70.4% and specificity of 52.3% at a cut off value of 51.5pg/ml with AUC 0.631. CONCLUSIONS: Our data supported the role of proteasome, sICAM-1, sTNFR-II and ß-catenin in early detection of HCC. Also, using this panel of serological markers in combination with αFP may offer improved diagnostic performance over αFP alone in the early detection of HCC.