HBV is a risk factor for poor patient prognosis after curative resection of hepatocellular carcinoma

Li, Zhong-Hu; Zhao, Xin; Jiang, Peng; Xiao, Senlin; Wu, Guohao; Chen, Kai; Zhang, Xi; Liu, Hui; Han, Xiuguo; Wang, Shuguang; Li, Xiaowu

doi:10.1097/md.0000000000004224

Cited by 26 publications

(25 citation statements)

References 34 publications

(42 reference statements)

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“…Important risk factors in the development of HCC are alcohol consumption and the hepatitis virus. An estimated half of HCC patients have an hepatitis B virus (HBV) infection, while thirty to forty percent of HBV patients ultimately develop HCC [ 10 , 11 ]. Hepatitis C virus (HCV) infection causes an estimated seventeen-fold increase in the risk of developing HCC compared to non-hepatitis individuals [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma

Zheng

Kwok

et al. 2017

Oncotarget

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Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths because of frequent late detection and poor therapeutic outcomes, necessitating the need to identify effective biomarkers for early diagnosis and new therapeutic targets for effective treatment. Long noncoding RNAs (lncRNAs) have emerged as promising molecular markers for diagnosis and treatment. Through analysis of patient samples from The Cancer Genome Atlas database, we identified putative lncRNAs dysregulated in HCC and by its risk factors, hepatitis infection and alcohol consumption. We identified 184 lncRNAs dysregulated in HCC tumors versus paired normal samples, 53 lncRNAs dysregulated in alcohol-drinking patients with hepatitis B, and 5, 456 lncRNAs dysregulated in patients with hepatitis infection. A panel of these candidate lncRNAs’ expressions correlated significantly with patient survival, clinical variables, and known genomic alteration in HCC. Two most significantly dysregulated lncRNAs in our computational analysis, lnc-CFP-1:1 and lnc-CD164L2-1:1, were validated in vitro to be dysregulated by alcohol. Our findings suggest that lncRNAs dysregulated by different etiologies of HCC serve as potential disease markers and can be further investigated to develop personalized prevention, diagnosis, and treatment strategies.

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Section: Introductionmentioning

confidence: 99%

Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma

Zheng

Kwok

et al. 2017

Oncotarget

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“…The possible reasons are limited cases of multifocal lesions and short follow-up time in the present study. Furthermore, in the subgroup analysis, the high-risk group tended to show higher AFP, higher AST, higher PLR, larger tumor size, more hemorrhage, more intraoperative transfusion, presence of MVI and incomplete tumor capsule, which are proven prognostic indicators of HCC, 23,24,50,51 indicating the potential association between the radiomics signature and clinicopathologic factors. In this light, texture parameters are linked to clinicopathologic factors, which could assist clinicians in prognostic evaluation.…”

Section: Dicussionmentioning

confidence: 95%

A radiomics nomogram for prediction of overall survival in hepatocellular carcinoma after hepatectomy

Liu¹,

Li²,

Liu³

et al. 2020

Preprint

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Background Hepatocellular carcinoma (HCC) is associated with dismal prognosis, and prediction of the prognosis of HCC can assist the therapeutic decisions. More and more studies showed that the texture parameters of images can reflect the heterogeneity of the tumor, and may have the potential to predict the prognosis of patients with HCC after surgical resection. The aim of the study was to investigate the prognostic value of computed tomography (CT) texture parameters for patients with HCC after hepatectomy, and try to develop a radiomics nomograms by combining clinicopathological factors with radiomics signature.Methods 544 eligible patients were enrolled in the retrospective study and randomly divided into training cohort (n=381) and validation cohort (n=163). The regions of interest (ROIs) of tumor is delineated, then the corresponding texture parameters are extracted. The texture parameters were selected by using the least absolute shrinkage and selection operator (LASSO) Cox model in training cohort, and the radiomics score (Rad-score) was generated. According to the cut-off value of the Rad-score calculated by the receiver operating characteristic (ROC) curve, the patients were divided into high-risk group and low-risk group. The prognosis of the two groups was compared and validated in the validation cohort. Univariate and multivariable analyses by COX proportional hazard regression model were used to select the prognostic factors of overall survival (OS). The radiomics nomogram for OS were established based on the radiomics signature and clinicopathological factors. The Concordance index (C-index), calibration plot and decision curve analysis (DCA) were used to evaluate the performance of the radiomics nomogram.Result 7 texture parameters associated with OS were selected in the training, and the radiomics signature was formulated based on the texture parameters. The patients were divided into high-risk group and low-risk group by the cut-off values of the Rad-score of OS. The 1-, 3- and 5-year OS rate was 71.0%, 45.5% and 35.5% in the high-risk group, respectively, and 91.7%, 82.1% and 78.7%, in the low-risk group, respectively, with significant difference (P <0.001). COX regression model found that Rad-score was an independent prognostic factor of OS. In addition, the radiomics nomogram was developed based on five variables: α‐fetoprotein (AFP), platelet lymphocyte ratio (PLR), largest tumor size, microvascular invasion (MVI) and Rad-score. The nomograms displayed good accuracy in predicting OS (C-index=0.747) in the training cohort and was confirmed in the validation cohort (C-index=0.777). The calibration plots also showed an excellent agreement between the actual and predicted survival probabilities. The DAC indicated that the radiomics nomogram showed better clinical usefulness than the clinicopathologic nomogram.Conclusion The radiomics signature is potential biomarkers of the prognosis of HCC after hepatectomy. Radiomics nomogram that integrated radiomics signature can provide more accurate estimate of OS for patients with HCC after hepatectomy.

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“…It is thought that the risk of HCC recurrence is linked to high HBV RNA at baseline and an active inflammatory process. Nucleoside analogues are recommended as well tolerated and safe, since treatment with interferon alfa poses a risk, potentially leading to decompensation, which significantly shortens patient survival [ 18 , 19 ].…”

Section: Effect Of Anti-hepatitis B Virus Treatment After Hepatocellumentioning

confidence: 99%

Hepatitis B virus treatment in hepatocellular carcinoma patients prolongs survival and reduces the risk of cancer recurrence

Pazgan−Simon¹,

Simon²,

Jarowicz³

et al. 2018

ceh

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Chronic hepatitis B virus (HBV) infection and HBV-related liver disease are estimated to affect about 240 million people worldwide. Now that a vaccine is available, the number of new HBV infection cases has plummeted. Yet, there are still regions with very high incidence of HBV. Hepatocellular carcinoma (HCC) is the fourth to six most common malignancy in men and the ninth most common malignancy in women worldwide. 54% of all HCC cases are HBV-associated, making it the most common cause of cancer worldwide. Hepatitis B therapy prevents progression of chronic hepatitis to cirrhosis and HCC development, but even with the best HBV treatment, such patients are still at risk of HCC. Also in patients after transarterial chemoembolization (TACE), liver resection (hepatectomy) or liver transplant, suppression of hepatitis B virus (HBV) improves patient survival. In this paper we present current possibilities of HCC and HBV treatment, which lead to improved survival and quality of life.

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HBV is a risk factor for poor patient prognosis after curative resection of hepatocellular carcinoma

Abstract: Supplemental Digital Content is available in the text

Cited by 26 publications

References 34 publications

Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma

Alcohol and hepatitis virus-dysregulated lncRNAs as potential biomarkers for hepatocellular carcinoma

A radiomics nomogram for prediction of overall survival in hepatocellular carcinoma after hepatectomy

Hepatitis B virus treatment in hepatocellular carcinoma patients prolongs survival and reduces the risk of cancer recurrence

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