A combination of α-fetoprotein, midkine, thioredoxin and a metabolite for predicting hepatocellular carcinoma.

INTRODUCTION AND OBJECTIVES: The heterogenous nature of hepatocellular carcinoma (HCC) motivated this attempt at developing and validating a model based on combined biomarkers for improving early HCC detection. PATIENTS/MATERIALS AND METHODS: This study examined 196 patients for an estimation study (104 patients with HCC, 52 with liver cirrhosis and 40 with liver fibrosis) and 122 patients for the validation study (80 patients with HCC, 42 with liver cirrhosis). All patients were positive for hepatitis C virus. Four markers were measured: Midkine and thioredoxin using ELISA, 1-methyladenosine and 1-methylguanosine using a gas chromatography-mass spectrometry (GC-MS). The results were compared with alpha-fetoprotein (AFP). The performance of the model was estimated in BCLC, CLIP and Okuda staging systems of HCC. RESULTS: The model yielded high performance with an area under ROC (AUC) of 0.94 for predicting HCC in patients with liver cirrhosis, compared with AUC of 0.69 for AFP. This model had AUCs of 0.93, 0.94 and 0.94 in patients who had only one single nodule, absent macrovascular invasion and tumor size <2cm, respectively, compared with AUCs of 0.71, 0.6 and 0.59 for AFP. The model produced AUCs of 0.91 for BCLC (0-A), 0.92 for CLIP (0-1) and 0.94 for Okuda (stage I) compared with AUCs of 0.56, 0.58 and 0.64 for AFP. No significant difference was found between AUC in the estimation and the validation groups. CONCLUSION: This model may enhance early-stage HCC detection and help to overcome insufficient sensitivity of AFP.

Extracellular Matrix Proteins Substantiate IL-28B T allele Effect on Histological Outcome of Chronic Hepatitis C.

INTRODUCTION AND AIM: The correlation between interleukin-28B (IL-28B) polymorphisms and chronic hepatitis C (CHC) progression is debatable. Here, we aimed to evaluate the relation between IL-28B C/T genotypes and the development of cirrhotic liver. Extracellular matrix (ECM) proteins, FibroScan and model for end-stage liver disease (MELD) were used to substantiate the severity of liver disease. MATERIAL AND METHODS: IL-28B rs12979860, liver stiffness and ECM proteins were assessed in 272 CHC patients. RESULTS: Cirrhosis percentage increased to 10%, 52% and 96% with the increasing number of T alleles (CC, CT and TT, respectively). Also, elevated ECM proteins levels were correlated with the increasing number of T alleles. Interestingly, among cirrhotic patients, liver stiffness, MELD and ECM proteins were significantly (P < 0.0001) higher in patients with TT more than CT genotype. FibroScan, hyaluronic acid, Laminin, Collagen IV and the N-terminal pro-peptide of collagen type III have high accuracy to differentiate liver status in CC from TT genotype. Area under receiver-operating characteristic curve (95% CI) were 1.0 (1.0-1.0), 0.97 (0.96- 1.0), 0.93 (0.85-1.0), 0.98 (0.97-1.0) and 0.93 (0.91-0.97), respectively. CONCLUSION: This study suggests that IL-28B T allele affects the natural course of CHC type 4 and also suggests that carriage of the IL-28B C allele protects from unfavorable clinical outcomes in CHC as coexistence of C allele with T allele reduced cirrhosis severity.

A simple diagnostic index comprising epithelial membrane antigen and fibronectin for hepatocellular carcinoma.

UNLABELLED: Background and rationale for the study. Continuing search for suitable tumor-markers is of clinical value in managing patients with various malignancies. These markers may be presented as intracellular substances in tissues or may be released into the circulation and appear in serum. Therefore, this work is concerned with identification and quantitative determination of epithelial membrane antigen (EMA) and fibronectin and estimating their performances as surrogate markers for identifying hepatocellular carcinoma (HCC). RESULTS: A total of 627 individuals constituted this study [fibrosis (F1-F3) = 217; cirrhosis = 191; HCC = 219]. Western-blot was used for identifying EMA and fibronectin in sera. As a result, a single immunoreactive band was shown at 130-kDa and 90-kDa corresponding to EMA and fibronectin, respectively. They were quantified using ELISA providing values in HCC higher than fibrosis or cirrhosis with a significant difference (P < 0.0001). For identifying HCC, EMA showed 0.82 area under receiver-operating characteristic curve (AUC) with sensitivity = 70% and specificity = 78% while fibronectin yielded AUC = 0.70 with sensitivity = 67% and specificity = 82%. FEBA-Test comprising fibronectin and EMA together with total-bilirubin and AFP was constructed yielding AUC = 0.92 for identifying HCC from cirrhosis with sensitivity = 89% and specificity = 85%. FEBA-Test was then tested for differentiating HCC from fibrosis showing AUC = 0.97 with sensitivity = 90% and specificity = 89%. FEBA-Test enabled the correct identification of HCC patients with CLIP 0-1 and size ≤ 3 cm with AUC = 0.80 and AUC = 0.84, respectively, indicating its ability in identifying early HCC. CONCLUSIONS: A four-marker index may improve the early detection of HCC with a high degree of accuracy.

Fibro-check: a combination of direct and indirect markers for liver fibrosis staging in chronic hepatitis C patients.

UNLABELLED: BACKGROUND AND RATIONALE FOR THE STUDY: The assessment of liver fibrosis provides useful information not only for diagnosis but also for therapeutic decision. This study was concerned with determining the levels of collagen III and its degrading enzyme matrix metalloproteinase-1 (MMP-1) as direct and complementary markers for liver fibrosis staging. RESULTS: A total of 269 chronic hepatitis C patients constituted this study. Western blotting was used for identifying collagen III and MMP-1 in serum samples. As a result, collagen III and MMP-1 were identified, respectively, at 70 and 245 kDa using their respective mono-specific antibodies. These two markers were quantified in sera of patients using ELISA. Next, Fibro-check was constructed combining collagen III and MMP-1 together with other indirect markers which reflect alteration in hepatic functions that proved useful to stage liver fibrosis. Fibro-check produced area under the receiver-operating characteristic curve (AUC) 0.91 and 0.83 for significant (F2-F4) and cirrhosis (F4), respectively. Additionally, we estimated the performance of Fibro-check in comparison with aspartate to platelet ratio index (APRI) and fibrosis index. Fibro-check seems to be more efficient than both of them. Fibro-check was then applied to the validation study to test its accuracy and reproducibility showing AUCs 0.90 for F2-F4 and 0.86 for F4. CONCLUSIONS: Fibro-check combining 'direct' and 'indirect' markers using a mathematical formula may improve the staging of liver fibrosis with a high degree of accuracy and seems more efficient than APRI and Fibrosis index in this group of Egyptian patients.

Diagnostic value of fibronectin discriminant score for predicting liver fibrosis stages in chronic hepatitis C virus patients.

BACKGROUND: Several noninvasive predictive models were developed to substitute liver biopsy for fibrosis assessment. AIM: To evaluate the diagnostic value of fibronectin which reflect extracellular matrix metabolism and standard liver functions tests which reflect alterations in hepatic functions. MATERIAL AND METHODS: Chronic hepatitis C (CHC) patients (n = 145) were evaluated using ROC curves and stepwise multivariate discriminant analysis (MDA) and was validated in 180 additional patients. Liver biochemical profile including transaminases, bilirubin, alkaline phosphatase, albumin, complete blood count were estimated. Fibronectin concentration was determined using monoclonal antibody and ELISA. RESULTS: A novel index named fibronectin discriminant score (FDS) based on fibronectin, APRI and albumin was developed. FDS produced areas under ROC curves (AUC) of 0.91 for significant fibrosis and 0.81 for advanced fibrosis. The FDS correctly classified 79% of the significant liver fibrosis patients (F2-F4) with 87% sensitivity and 75% specificity. The relative risk [odds ratio (OR)] of having significant liver fibrosis using the cut-off values determined by ROC curve analyses were 6.1 for fibronectin, 4.9 for APRI, and 4.2 for albumin. FDS predicted liver fibrosis with an OR of 16.8 for significant fibrosis and 8.6 for advanced fibrosis. The FDS had similar AUC and OR in the validation group to the estimation group without statistically significant difference. CONCLUSION: FDS predicted liver fibrosis with high degree of accuracy, potentially decreasing the number of liver biopsy required.