scholarly journals A novel index for staging hepatitis B related liver cirrhosis in patients with hepatocellular carcinoma

2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110180
Author(s):  
Juanhua Wu ◽  
Yunyang Chen ◽  
Chaohai Zuo ◽  
Naile Kuang ◽  
Ronggang Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Cirrhosis ◽  
Hepatitis B ◽  
Risk Scores ◽  
Activity Maximum ◽  
Receiver Operating Characteristic Curves ◽  
Non Invasive ◽  
Chronic Hepatitis B Virus ◽  
Preoperative Information ◽  
Staging Model

Information on the stage of liver cirrhosis is essential for prognostication and decisions on surgical planning for hepatocellular carcinoma (HCC) patients. But a non-invasive liver cirrhosis staging model is still lacking. The aim of our study was to develop a non-invasive model based on routine clinical parameters to evaluate the severity of cirrhosis in hepatitis B related HCC patients. A total of 226 HCC patients with chronic hepatitis B virus (HBV) infection who had liver resection were analyzed in this retrospective study. We found that platelets, prothrombin activity, maximum oblique diameter of right hepatic lobe and spleen length were the independent predictors of liver cirrhosis in HCC patients. By cumulating the weight of risk scores of independent variables, we constructed the PPMS (PLT/PTA/maximum oblique diameter of right hepatic lob/spleen length) index. The areas under the receiver operating characteristic curves (AUROC) of PPMS index were 0.820, 0.667, and 0.650 in predicting ≥cirrhosis 1 (C1), ≥cirrhosis 2 (C2), and ≥cirrhosis 3 (C3), respectively. The optimal cut-off value of the PPMS index for predicting ≥C1, ≥C2, and ≥C3 was 4.392, 4.471, and 4.784, respectively. And the corresponding sensitivity was 63.1%, 63.2%, and 64.7%, the corresponding specificity was 89.4%, 64.3%, and 62.5%, respectively. Our study constructed a non-invasive liver cirrhosis index (PPMS) could distinguish patients from different stages of liver cirrhosis, which might add more preoperative information for HCC patients.

scholarly journals Identification and Analysis of the Blood lncRNA Signature for Liver Cirrhosis and Hepatocellular Carcinoma

2020 ◽  
Vol 11 ◽  
Author(s):  
Qi Xia ◽  
Zheyue Shu ◽  
Ting Ye ◽  
Min Zhang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Feature Selection ◽  
Liver Cirrhosis ◽  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Hbv Infection ◽  
Support Vector ◽  
Chronic Hepatitis B Virus ◽  
Healthy Control

As one of the most common malignant tumors, hepatocellular carcinoma (HCC) is the fifth major cause of cancer-associated mortality worldwide. In 90% of cases, HCC develops in the context of liver cirrhosis and chronic hepatitis B virus (HBV) infection is an important etiology for cirrhosis and HCC, accounting for 53% of all HCC cases. To understand the underlying mechanisms of the dynamic chain reactions from normal to HBV infection, from HBV infection to liver cirrhosis, from liver cirrhosis to HCC, we analyzed the blood lncRNA expression profiles from 38 healthy control samples, 45 chronic hepatitis B patients, 46 liver cirrhosis patients, and 46 HCC patients. Advanced machine-learning methods including Monte Carlo feature selection, incremental feature selection (IFS), and support vector machine (SVM) were applied to discover the signature associated with HCC progression and construct the prediction model. One hundred seventy-one key HCC progression-associated lncRNAs were identified and their overall accuracy was 0.823 as evaluated with leave-one-out cross validation (LOOCV). The accuracies of the lncRNA signature for healthy control, chronic hepatitis B, liver cirrhosis, and HCC were 0.895, 0.711, 0.870, and 0.826, respectively. The 171-lncRNA signature is not only useful for early detection and intervention of HCC, but also helpful for understanding the multistage tumorigenic processes of HCC.

Non-Invasive Diagnostic Criteria for Hepatocellular Carcinoma in Hepatitis B Virus-Endemic Areas: Is Cirrhosis Indispensable?

2018 ◽  
Vol 36 (3) ◽  
pp. 228-235 ◽  
Author(s):  
Xiao-wen Huang ◽  
Bing Liao ◽  
Yang Huang ◽  
Jin-yu Liang ◽  
Quan-yuan Shan ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Cirrhosis ◽  
Hepatitis B Virus ◽  
Hepatitis B ◽  
Diagnostic Criteria ◽  
Hcv Infection ◽  
Vascular Pattern ◽  
Non Invasive ◽  
B Virus ◽  
Endemic Areas

Aim: To confirm whether cirrhosis is indispensable for the non-invasive diagnostic criteria for hepatocellular carcinoma (HCC) in hepatitis B virus (HBV)-endemic areas. Methods: Between January 2014 and December 2014, a total of 409 patients with pathologically proven focal liver lesions who underwent contrast-enhanced ultrasound (CEUS) were recruited from our institution. Clinical liver cirrhosis, HBV/HCV infection and HCC-typical vascular pattern of the targeted lesion on CEUS were evaluated. The following 3 criteria were applied to these patients to diagnose HCC: criterion 1, clinical liver cirrhosis and HCC-typical vascular pattern; criterion 2, HBV/HCV infection and HCC-typical vascular pattern; criterion 3, HBV/HCV infection or clinical liver cirrhosis and HCC-typical vascular pattern. Pathological reports were considered the gold standard. Results: A total of 311 patients had confirmed HCC by pathology. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value and area under the ROC curve for criterion 1 were 29.6, 90.8, 44.3, 91.1, 28.9, and 0.60% respectively. For criterion 2, they were 83.3, 74.5, 81.2, 91.2, 58.4, and 0.79%, respectively, and for criterion 3, they were 86.2, 72.5, 82.9, 90.9, 62.3, and 0.79% respectively. Conclusions: In HBV-endemic areas, when using the HBV/HCV infection instead of cirrhosis as the precondition of the non-invasive diagnostic criteria for HCC, we should be aware of the potential false positive. Cirrhosis still plays an important role in the non-invasive diagnostic criteria for HCC because of the high specificity.

Nomograms for Risk of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B Virus Infection

2010 ◽  
Vol 28 (14) ◽  
pp. 2437-2444 ◽  
Author(s):  
Hwai-I Yang ◽  
Morris Sherman ◽  
Jun Su ◽  
Pei-Jer Chen ◽  
Yun-Fan Liaw ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Chronic Hepatitis ◽  
Hepatitis B Virus ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Risk Scores ◽  
Chronic Hepatitis B Virus ◽  
B Virus ◽  
Model Derivation ◽  
Carcinoma Risk

Purpose Counseling patients with chronic hepatitis B virus (HBV) on their individual risk of liver disease progression is challenging. This study aimed to develop nomograms for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B. Patients and Methods Two thirds of the Risk Evaluation of Viral Load Elevation and Associated Liver Disease/Cancer–Hepatitis B Virus (REVEAL-HBV) study cohort was allocated for model derivation (n = 2,435), and the remaining third was allocated for model validation (n = 1,218). Previously confirmed independent risk predictors included in three Cox proportional hazards regression models were sex, age, family history of hepatocellular carcinoma, alcohol consumption habit, serum ALT level, hepatitis B envelope antigen (HBeAg) serostatus, serum HBV DNA level, and HBV genotype. Regression coefficients were rounded into integer risk scores, and predicted risk over 5- and 10-year periods for each risk score was calculated and depicted in nomograms. The predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUROC) and the correlation between predicted and observed hepatocellular carcinoma risk. Results All selected risk predictors were statistically significant in all models. In each model, either HBeAg seropositivity or HBeAg seronegativity with high viral load (HBV DNA level ≥ 100,000 copies/mL) and genotype C infection had the highest risk scores. All AUROCs for risk prediction nomogram were ≥ 0.82 in both model derivation and validation sets. The correlation coefficients between the observed hepatocellular carcinoma risk and the nomogram-predicted risk were greater than 0.90 in all model derivation and validation sets. Conclusion These easy-to-use nomograms based on noninvasive clinical characteristics can accurately predict the risk of hepatocellular carcinoma in patients with chronic hepatitis B. They may facilitate risk communication between patients and clinicians.

Assessing risk scores for predicting hepatocellular carcinoma in Thai patients with chronic hepatitis B

2021 ◽  
Author(s):  
Thanachote Kamalapirat ◽  
Kesinee Yingcharoen ◽  
Teerapat Ungtrakul ◽  
Kamonwan Soonklang ◽  
Jiraporn Dechma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Chronic Hepatitis ◽  
Hepatitis B ◽  
Chronic Hepatitis B ◽  
Risk Scores
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