Development and Validation of a Machine Learning-Based Model Used for Predicting Hepatocellular Carcinoma Risk in Patients with Hepatitis B-Related Cirrhosis: A Retrospective Study.

Object: Our objective was to estimate the 5-year cumulative risk of HCC in patients with HBC by utilizing an artificial neural network (ANN). Methods: We conducted this study with 1589 patients hospitalized at Beijing Ditan Hospital of Capital Medical University and People's Liberation Army Fifth Medical Center. The training cohort consisted of 913 subjects from Beijing Ditan Hospital of Capital Medical University, while the validation cohort comprised 676 subjects from People's Liberation Army Fifth Medical Center. Through univariate analysis, we identified factors that independently influenced the occurrence of HCC, which were then used to develop the ANN model. To evaluate the ANN model, we assessed its predictive accuracy, discriminative ability, and clinical net benefit using metrics such as the area under the receiver operating characteristic curve (AUC), concordance index (C-index), calibration curves. Results: In total, we included nine independent risk factors in the development of the ANN model. Remarkably, the AUC of the ANN model was 0.880, significantly outperforming the AUC values of other existing models including mPAGE-B (0.719) (95% CI 0.670-0.768), PAGE-B (0. 710) (95% CI 0.660-0.759), FIB-4 (0.693) (95% CI 0.640-0.745), and Toronto hepatoma risk index (THRI) (0.705) (95% CI 0.654-0.756) (p<0.001 for all). The ANN model effectively stratified patients into low, medium, and high-risk groups based on their 5-year In the training cohort, the positive predictive value (PPV) for low-risk patients was 26.2% (95% CI 25.0-27.4), and the negative predictive value (NPV) was 98.7% (95% CI 95.2-99.7). For high-risk patients, the PPV was 54.7% (95% CI 48.6-60.7), and the NPV was 91.6% (95% CI 89.4-93.4). These findings were validated in the independent validation cohort. Conclusion: The ANNs model has good individualized prediction performance and may be helpful to evaluate the probability of the 5-year risk of HCC in patients with HBC.

Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients' blood.

During cancer progression, tumorigenic and immune signals are spread through circulating molecules, such as cell-free DNA (cfDNA) and cell-free RNA (cfRNA) in the blood. So far, they have not been comprehensively investigated in gastrointestinal cancers. Here, we profile 4 categories of cell-free omics data from patients with colorectal cancer and patients with stomach adenocarcinoma and then assay 15 types of genomic, epigenomic, and transcriptomic variations. We find that multi-omics data are more appropriate for detection of cancer genes compared with single-omics data. In particular, cfRNAs are more sensitive and informative than cfDNAs in terms of detection rate, enriched functional pathways, etc. Moreover, we identify several peripheral immune signatures that are suppressed in patients with cancer. Specifically, we establish a γδ-T cell score and a cancer-associated-fibroblast (CAF) score, providing insights into clinical statuses like cancer stage and survival. Overall, we reveal a cell-free multi-molecular landscape that is useful for blood monitoring in personalized cancer treatment.

LncRNA ARAP1-AS1 contributes to lung adenocarcinoma development by targeting miR-8068 to upregulate CEACAM5.

BACKGROUND: It has been discovered that lncRNA ARAP1-AS1 is upregulated and operates as a tumor promoter in many cancers. However, its pattern of expression and potential mechanism in lung adenocarcinoma (LUAD) is still unknown. METHODS: The levels of lncRNA ARAP1-AS1, miR-8068, and CEACAM5 expressions in LUAD cell lines and tissues were assessed by conducting western blot and RT-qPCR analyses. MiR-8068's potential targeting relationships with lncRNA ARAP1-AS1 and CEACAM5 were ascertained by performing bioinformatics analysis. The interaction of lncRNA ARAP1-AS1 with miR-8068 was validated by means of by RIP and luciferase reporter experiments. CCK-8, cell adhesion, and Transwell migration experiments were conducted to study how lncRNA ARAP1-AS1 affects LUAD cell migration, adhesion, and proliferation. To confirm the function of lncRNA ARAP1-AS1 in vivo, a tumor formation experiment was executed. RESULTS: An elevated expression of lncRNA ARAP1-AS1 was observed among the LUAD cells and tissues. The overexpression of lncRNA ARAP1-AS boosted cell proliferation, adhesion, and migration in LUAD and also favored in vivo tumor growth. MiR-8068 was found to be lncRNA ARAP1-AS1's target gene. MiR-8068 overexpression partially antagonized lncRNA ARAP1-AS1's promotive effect on proliferation, viability, and adhesion. Meanwhile CEACAM5 could alleviate the miR-8068-induced inhibition of tumor growth. The negative correlation of miR-8068 with lncRNA ARAP1-AS1 or CEACAM5 was also revealed. CONCLUSION: To upregulate CEACAM5 expression lncRNA ARAP1-AS1 targeted miR-8068, thus promoting the progression of LUAD. This indicates that the lncRNA ARAP1-AS1/miR-8068/CEACAM5 axis has potential as a therapeutic target in LUAD treatment.

Primary non-response to antiviral therapy affects the prognosis of hepatitis B virus-related hepatocellular carcinoma.

BACKGROUND AND AIM: Although antiviral treatments have been shown to affect the recurrence and long-term survival of patients with hepatocellular carcinoma (HCC) who have high viral loads, the effect of different responses to antiviral therapy on the clinical outcomes remains unclear. This study aimed to assess the effect of primary non-response (no-PR) to antiviral therapy on the survival or prognosis of patients with HCC with a high load of hepatitis B virus (HBV) DNA. METHODS: A total of 493 HBV-HCC patients hospitalized at Beijing Ditan Hospital of Capital Medical University were admitted to this retrospective study. Patients were divided into two groups based on viral response (no-PR and primary response). Kaplan-Meier (KM) curves were used to compare the overall survival of the two cohorts. Serum viral load comparison and subgroup analysis were performed. Additionally, risk factors were screened and the risk score chart was created. RESULTS: This study consisted of 101 patients with no-PR and 392 patients with primary response. In the different categories based on hepatitis B e antigen and HBV DNA, no-PR group had a poor 1-year overall survival (OS). In addition, in the alanine aminotransferase < 50 IU/L and cirrhosis groups, primary nonresponse was related to poor overall survival and progression-free survival. Based on multivariate risk analysis, primary non-response (hazard ratio (HR) = 1.883, 95% CI 1.289-2.751, P = 0.001), tumor multiplicity (HR = 1.488, 95% CI 1.036-2.136, P = 0.031), portal vein tumor thrombus (HR = 2.732, 95% CI 1.859-4.015, P < 0.001), hemoglobin < 120 g/L (HR = 2.211, 95% CI 1.548-3.158, P < 0.001) and tumor size ≥ 5 cm (HR = 2.202, 95% CI 1.533-3.163, P < 0.001) were independent risk factors for 1-year OS. According to the scoring chart, patients were divided into three risk groups (high-, medium-, and low-risk groups) with mortality rates of 61.7%, 30.5%, and 14.1%, respectively. CONCLUSIONS: The level of viral decline at 3 months post-antiviral treatment may predict the OS of patients with HBV-related HCC, and primary non-response may shorten the median survival time of patients with high HBV-DNA levels.

Gut microbiota dysbiosis with hepatitis B virus liver disease and association with immune response.

Background and aims: Given hepatitis B virus (HBV)-related hepatocellular carcinoma (HBV-HCC) exhibits unique gut microbiota characteristics and a significant immunosuppressive tumor microenvironment. Thus, a better understanding of the correlation between gut microbiota and the immunosuppressive response may help predict occurrence and prognosis of HBV-HCC. Methods: Here, in a cohort of ninety adults (healthy control n=30, HBV-cirrhosis n=30, HBV-HCC n=30) with clinical data, fecal 16S rRNA gene sequencing, matched peripheral blood immune response with flow cytometry analysis. Correlation between the gut microbiome of significantly different in HBV-HCC patients and clinical parameters as well as the peripheral immune response was assessed. Results: We found that community structures and diversity of the gut microbiota in HBV-CLD patients become more unbalanced. Differential microbiota analysis that p:Acidobacteriota, p:Proteobacteria, p:Campilobacterota, f:Streptococcaceae, g:Klebsiella associated with inflammation were enriched. The beneficial bacteria of f:Clostridia UCG-014, f:Oscillospiraceae, f:_Rikenellaceae, g:_Barnesiella, g:Prevotella, g:Agathobacter were decreased. Functional analysis of gut microbiota revealed that lipopolysaccharide biosynthesis, lipid metabolism, butanoate metabolism were significantly elevated in HBV-CLD patients. Spearman's correlation analysis showed that Muribaculaceae, Akkermaniacaeae, [Eubacterium]_coprostanoligenes_group, RF39, Tannerellaceae have positive correlation with CD3+T, CD4+T and CD8+T cell counts while negatively correlated with liver dysfunction. Furthermore, paired peripheral blood showed a decreased proportion of CD3+T, CD4+T and CD8+T cells, while an increased T (Treg) cells. The immunosuppressive response of programmed cell death 1 (PD-1), cytotoxic T-lymphocyte antigen 4 (CTLA-4), immune receptor tyrosine based inhibitor motor (ITIM) domain (TIGIT), T-cell immune domain, and multiple domain 3 (TIM-3) of CD8+T cells were higher in HBV-HCC patients. They were positively correlated with harmful bacteria, such as Actinobaciota, Myxococota, Streptococcaceae and Eubacterium coprostanoligenes. Conclusions: Our study indicated that gut beneficial bacteria, mainly Firmicutes and Bacteroides appeared dysbiosis in HBV-CLD patients. They have negative regulation of liver dysfunction and T cell immune response. It provides potential avenues for microbiome-based prevention and intervention for anti-tumor immune effects of HBV-CLD.

Effects of adjuvant huaier granule therapy on survival rate of patients with hepatocellular carcinoma.

Objective: Clinical trials have reported that Huaier granule inhibits the recurrence of hepatocellular carcinoma (HCC) after resection. However, its efficacy in patients at different clinical stages of HCC remains unknown. We investigated the effects of Huaier granule on the 3-year overall survival (OS) rate of patients at different clinical stages. Design: This cohort study included 826 patients with HCC, screened between January 2015 and December 2019. The patients were divided into Huaier (n = 174) and control groups (n = 652), and the 3-year OS rates were compared between the two groups. To eliminate bias caused by confounding factors, propensity score matching (PSM) was performed. We used the Kaplan-Meier method to estimate OS rate and tested the difference using the log-rank test. Results: Multivariable regression analysis revealed that Huaier therapy was an independent protective factor for 3-year survival rate. After PSM (1:2), the Huaier and control groups comprised 170 and 340 patients, respectively. The 3-year OS rate was remarkably higher in the Huaier group than in the control group (adjusted hazard ratio [aHR]: 0.36; 95% confidence interval: 0.26-0.49; p < 0.001). The aHR for Huaier use for 3-12, 12-24, and >24 months was 0.48, 0.23, and 0.16, respectively, indicating a dose-response pattern. For the 3-12-, 12-24-, and >24-month groups, the 3-year OS rate was 54.1%, 68.6%, and 90.4%, respectively. Multivariate stratified analysis confirmed that the mortality risk in Huaier users was lower than that in non-Huaier users in most subgroups. Conclusion: Adjuvant Huaier therapy improved the OS rate in patients with HCC. However, these findings require further verification through prospective clinical studies.

Neutrophil-to-high-density-lipoprotein-cholesterol ratio and mortality among patients with hepatocellular carcinoma.

Background: Inflammatory responses and lipid metabolism disorders contribute to the development and prognosis of hepatocellular carcinoma (HCC). This study aimed to investigate the prognostic value of lipid-related inflammatory parameters in patients with HCC. Methods: From January 2010 to June 2017, we enrolled 1,639 patients with HCC at Beijing Ditan Hospital. Multivariate Cox regression analysis and area under the receiver operating characteristic (AUC) analysis were used to evaluate and compare the predictability and reliability of high-density lipoprotein cholesterol (HDL-C), neutrophil-to-HDL-C ratio (NHR), monocyte-to-HDL-C ratio (MHR), and lymphocyte-to-HDL-C ratio (LHR) values. A restricted cubic spline was used to explore the association between the NHR and 3-year mortality in patients with HCC. Differences in survival rates were estimated using the Kaplan-Meier method and compared using the log-rank test. The results were validated in an internal cohort between July 2017 and October 2019 (n = 373). Results: After adjusting for confounding variables, NHR was independently associated with 3-year mortality, both as a continuous and categorical variable (both p < 0.05). The correlation between the mortality and the MHR and LHR was not statistically significant. The NHR showed a suitable prognostic value (AUC at 3 years: 0.740), similar to that of the Model for End-stage Liver Disease (MELD) (AUC at 3 years: 0.761). In the validation cohort, the AUC of the NHR was 0.734 at 3 years. The optimal cut-off values of NHR and MELD were 3.5 and 9, respectively. The 3-year survival rates in the low- (NHR < 3.5 and MELD <9) and high-risk (NHR ≥ 3.5 and MELD ≥9) groups were 81.8 and 19.4%, respectively, in the training cohort, and 84.6 and 27.5%, respectively, in the validation cohort. Conclusion: Baseline NHR is a promising prognostic parameter for mortality in patients with HCC and patients with NHR ≥ 3.5 and MELD ≥9 have a high mortality rate.

Development of a nomogram to predict the risk of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis on antivirals.

Objective: Patients with compensated hepatitis B-related cirrhosis receiving antivirals are at the risk of hepatocellular carcinoma (HCC). This study aimed to develop and validate a nomogram for predicting the incidence of HCC in patients with hepatitis-B related cirrhosis. Design: A total of 632 patients with compensated hepatitis-B related cirrhosis treated with entecavir or tenofovir between August 2010 and July 2018 were enrolled. Cox regression analysis was used to identify independent risk factors for HCC and a nomogram was developed using these factors. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analyses were used to evaluate the nomogram performance. The results were validated in an external cohort (n = 324). Results: In the multivariate analysis, age per 10 years, neutrophil-lymphocyte ratio > 1.6, and platelet count < 86×109/L were independent predictors of HCC occurrence. A nomogram was developed to predict HCC risk using these three factors (ranging from 0 to 20). The nomogram showed better performance (AUC: 0.83) than that of the established models (all P < 0.05). The 3-year cumulative HCC incidences in the low- (scores < 4), medium- (4-10), and high-risk (> 10) subgroups were 0.7%, 4.3%, and 17.7%, respectively, in the derivation cohort, and 1.2%, 3.9%, and 17.8%, respectively, in the validation cohort. Conclusion: The nomogram showed good discrimination and calibration in estimating HCC risk in patients with hepatitis-B related cirrhosis on antivirals. High-risk patients with a score > 10 points require close surveillance.

Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients.

BACKGROUND: Liver cirrhosis patients are at risk for esophagogastric variceal bleeding (EGVB). Herein, we aimed to estimate the EGVB risk in patients with liver cirrhosis using an artificial neural network (ANN). METHODS: We included 999 liver cirrhosis patients hospitalized at the Beijing Ditan Hospital, Capital Medical University in the training cohort and 101 patients from Shuguang Hospital in the validation cohort. The factors independently affecting EGVB occurrence were determined via univariate analysis and used to develop an ANN model. RESULTS: The 1-year cumulative EGVB incidence rates were 11.9 and 11.9% in the training and validation groups, respectively. A total of 12 independent risk factors, including gender, drinking and smoking history, decompensation, ascites, location and size of varices, alanine aminotransferase (ALT), γ-glutamyl transferase (GGT), hematocrit (HCT) and neutrophil-lymphocyte ratio (NLR) levels as well as red blood cell (RBC) count were evaluated and used to establish the ANN model, which estimated the 1-year EGVB risk. The ANN model had an area under the curve (AUC) of 0.959, which was significantly higher than the AUC for the North Italian Endoscopic Club (NIEC) (0.669) and revised North Italian Endoscopic Club (Rev-NIEC) indices (0.725) (all P <  0.001). Decision curve analyses revealed improved net benefits of the ANN compared to the NIEC and Rev-NIEC indices. CONCLUSIONS: The ANN model accurately predicted the 1-year risk for EGVB in liver cirrhosis patients and might be used as a basis for risk-based EGVB surveillance strategies.

Prevalence and clinical characteristics of autoimmune liver disease in hospitalized patients with cirrhosis and acute decompensation in China.

BACKGROUND: Autoimmune liver disease (AILD) has been considered a relatively uncommon disease in China, epidemiological data for AILD in patients with cirrhosis and acute decompensation (AD) is sparse. AIM: To investigate the prevalence, outcome and risk factors for AILD in cirrhotic patients complicated with AD in China. METHODS: We collected data from patients with cirrhosis and AD from two prospective, multicenter cohorts in hepatitis B virus endemic areas. Patients were regularly followed up at the end of 28-d, 90-d and 365-d, or until death or liver transplantation (LT). The primary outcome in this study was 90-d LT-free mortality. Acute-on-chronic liver failure (ACLF) was assessed on admission and during 28-d hospitalization, according to the diagnostic criteria of the European Association for the Study of the Liver (EASL). Risk factors for death were analyzed with logistic regression model. RESULTS: In patients with cirrhosis and AD, the overall prevalence of AILD was 9.3% (242/2597). Prevalence of ACLF was significantly lower in AILD cases (14%) than those with all etiology groups with cirrhosis and AD (22.8%) (P < 0.001). Among 242 enrolled AILD patients, the prevalence rates of primary biliary cirrhosis (PBC), autoimmune hepatitis (AIH) and PBC-AIH overlap syndrome (PBC/AIH) were 50.8%, 28.5% and 12.0%, respectively. In ACLF patients, the proportions of PBC, AIH and PBC/AIH were 41.2%, 29.4% and 20.6%. 28-d and 90-d mortality were 43.8% and 80.0% in AILD-related ACLF. The etiology of AILD had no significant impact on 28-d, 90-d or 365-d LT-free mortality in patients with cirrhosis and AD in both univariate and multivariate analysis. Total bilirubin (TB), hepatic encephalopathy (HE) and blood urea nitrogen (BUN) were independent risk factors for 90-d LT-free mortality in multivariate analysis. The development of ACLF during hospitalization only independently correlated to TB and international normalized ratio. CONCLUSION: AILD was not rare in hospitalized patients with cirrhosis and AD in China, among which PBC was the most common etiology. 90-d LT-free mortality were independently associated with TB, HE and BUN.

A Novel Prognostic Score Based on Artificial Intelligence in Hepatocellular Carcinoma: A Long-Term Follow-Up Analysis.

Objective: T cell immunity plays an important role in anti-tumor effects and immunosuppression often leads to the development and relapse of cancer. This study aimed to investigate the effect of T cell numbers on the long-term prognosis of patients with hepatocellular carcinoma (HCC) and construct an artificial neural network (ANN) model to evaluate its prognostic value. Methods: We enrolled 3,427 patients with HCC at Beijing Ditan Hospital, Capital Medical University, and randomly divided them into two groups of 1,861 and 809 patients as the training and validation sets, respectively. Cox regression analysis was used to screen for independent risk factors of survival in patients with HCC. These factors were used to build an ANN model using Python. Concordance index, calibration curve, and decision curve analysis were used to evaluate the model performance. Results: The 1-year, 3-year, 5-year, and 10-year cumulative overall survival (OS) rates were 66.9%, 45.7%, 34.9%, and 22.6%, respectively. Cox multivariate regression analysis showed that age, white blood cell count, creatinine, total bilirubin, γ-GGT, LDH, tumor size ≥ 5 cm, tumor number ≥ 2, portal vein tumor thrombus, and AFP ≥ 400 ng/ml were independent risk factors for long-term survival in HCC. Antiviral therapy, albumin, T cell, and CD8 T cell counts were independent protective factors. An ANN model was developed for long-term survival. The areas under the receiver operating characteristic (ROC) curve of 1-year, 3-year, and 5-year OS rates by ANNs were 0.838, 0.833, and 0.843, respectively, which were higher than those of the Barcelona Clinic Liver Cancer (BCLC), tumor node metastasis (TNM), Okuda, Chinese University Prognostic Index (CUPI), Cancer of the Liver Italian Program (CLIP), Japan Integrated Staging (JIS), and albumin-bilirubin (ALBI) models (P < 0.0001). According to the ANN model scores, all patients were divided into high-, middle-, and low-risk groups. Compared with low-risk patients, the hazard ratios of 5-year OS of the high-risk group were 8.11 (95% CI: 7.0-9.4) and 6.13 (95% CI: 4.28-8.79) (P<0.0001) in the training and validation sets, respectively. Conclusion: High levels of circulating T cells and CD8 + T cells in peripheral blood may benefit the long-term survival of patients with HCC. The ANN model has a good individual prediction performance, which can be used to assess the prognosis of HCC and lay the foundation for the implementation of precision treatment in the future.

Effects of Traditional Chinese Medicine Adjuvant Therapy on the Survival of Patients with Primary Liver Cancer.

Aim: This study aims to evaluate whether adjuvant traditional Chinese medicine (TCM) can improve the survival of patients with primary liver cancer (PLC). Methods: A total of 1,859 patients with PLC at Beijing Ditan Hospital between August 2008 and September 2017 were included. The patients were divided into TCM and control groups according to whether the patients took TCM for ≥3 months. There were 1,111 patients in the TCM group and 748 in the control group. Univariate and multivariate Cox regression analyses were used to analyze the factors affecting the 3-year survival of patients with PLC. To reduce selection bias, 1 : 1 propensity score matching (PSM) was performed between the two groups. The overall survival outcomes were evaluated using the Kaplan-Meier (K-M) survival curve, and the log-rank test was used to compare the differences in survival curves. Results: After multivariate Cox regression analysis, TCM was an independent favorable factor for the 3-year survival of patients with PLC (adjusted hazard ratio (aHR) 0.359, 95% confidence interval (CI) 0.292-0.441, P < 0.001). Before and after PSM, the 3-year overall survival rates were 33.3% and 54% in the control group and 79.7% and 69.7% in the TCM group, respectively. The 3-year mortality risk in the TCM group was lower than that in the control group for different PLC subgroups. Conclusions: TCM adjuvant therapy increased the 3-year overall survival rate of patients with PLC.

Comparative Analysis of Proanthocyanidin Metabolism and Genes Regulatory Network in Fresh Leaves of Two Different Ecotypes of Tetrastigma hemsleyanum.

Tetrastigma hemsleyanum Diels et Gilg is a rare and wild medicinal resource. Metabolites, especially secondary metabolites, have an important influence on T. hemsleyanum adaptability and its medicinal quality. The metabolite proanthocyanidin (PA) is a polyphenol compound widely distributed in land plants, which can be used as antioxidants and anticancer agents. Here, we discovered that three types of PA accumulated in large amounts in purple leaves (PL), but not in green leaves (RG), based on widely non-targeted metabolomics. In addition, we further found that catechins and their derivatives, which are the structural units of PA, are also enriched in PL. Afterwards, we screened and obtained five key genes, DNR1/2, ANS, ANR and LAR closely related to PA biosynthesis through transcriptome analysis and found they were all highly expressed in PL compared to RG. Therefore, observed the regulatory relationship between the main compounds and genes network, and the PA metabolism regulatory pathway was complicated, which may be different to other species.

Serum soluble DR5 predicts mortality risk in patients with HBV-related hepatocellular carcinoma.

Introduction: Death receptor 5 (DR5) is significantly upregulated in various human tumor tissues; however, the relationship between serum levels of soluble DR5 (sDR5) and the mortality risk of hepatocellular carcinoma (HCC) is not understood. Our aim is to investigate the prognostic value of serum sDR5 in HCC patients. Methods: A total of 170 patients with HBV-HCC were recruited, with 82 and 88 patients as derivation and validation cohorts, respectively. sDR5 levels were analyzed using ELISA. The predictive factors for mortality were selected using LASSO regression analysis. Cox regression analysis was used to analyze the independent factors affecting mortality in 2 years. A nomogram based on the interquartile range of the sDR5 values predicted mortality rates. Results: Serum sDR5 level was identified as an independent risk factor for mortality in patients with HBV-HCC. The 2-year cumulative mortality rates of HBV-HCC were 10, 28.57, 38.10, and 95% across the sDR5 quartiles, respectively (p < 0.001). The sDR5 had an AUROC of 0.851 (95% CI: 0.755-0.920) in the derivation cohort. When the cut-off value was 30.06pg/mL, the AUROC of sDR5 was 0.778 (95% CI 0.677-0.860) in the validation cohort. The calibration curves fit well, and the decision curves showed that sDR5 had a high standardized net benefit. sDR5 predicted the prognosis of HBV-HCC patients most accurately. Further, serum sDR5 level was significantly positively associated with BCLC stage and the presence or absence of ascites. Conclusion: sDR5 showed high predictive accuracy in patients with HBV-HCC; thus, it is considered a new serological biomarker.

Association between probiotic therapy and the risk of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis.

Objective: Probiotics may offer cancer-prevention benefits, based on experimental investigation results. This study aimed to determine the potential association between probiotics and hepatocellular carcinoma (HCC) in patients with hepatitis B-related cirrhosis (HBC) receiving antiviral therapy. Design: This retrospective study included 1267 patients with HBC treated with entecavir or tenofovir between January 2013 and December 2017. The risk of developing HCC was compared between two cohorts of 449 probiotic users (taking a cumulative defined daily doses [cDDD] of ≥ 28) and 818 non-probiotic users (< 28 cDDD). To eliminate the bias caused by confounding factors, propensity score matching (PSM) was used. Results: On multivariate regression analysis, probiotic consumption was an independent protective factor for HCC occurrence. After PSM, the incidence of HCC was significantly lower in the probiotic users than that in the nonusers (adjusted hazard ratio [aHR]: 0.70, 95% confidence interval: 0.59-0.83, P < 0.001). The aHRs for probiotics with 28-89, 90-180, and >180 cDDD were 0.58, 0.28, and 0.12, respectively, indicating a dose-response pattern. In 28-89, 90-180, and >180 cDDD, the 3-year cumulative incidence of HCC was 8.7%, 4.7%, and 3.0%, respectively. A multivariate stratified analysis confirmed that the administration of probiotics could help patients. Conclusion: Adjuvant probiotic therapy may reduce the risk of HCC in patients receiving antiviral medication for HBC. However, further clinical research is required to confirm these findings.

Neutrophil-lymphocyte ratio and the risk of hepatocellular carcinoma in patients with hepatitis B-caused cirrhosis.

AIM: The neutrophil-to-lymphocyte ratio (NLR) has been reported as a prognostic marker of hepatocellular carcinoma (HCC); however, the relationship between NLR and risk of HCC occurrence has yet to be systematically elucidated. We aimed to investigate the association between NLR and HCC risk in patients with hepatitis B-caused cirrhosis (HBC) undergoing antiviral therapy. METHODS: A total of 1599 patients with HBC receiving entecavir or tenofovir at three tertiary hospitals between June 2014 and November 2017 were included. Cox proportional hazards regression was used to identify the association between NLR and risk of HCC occurrence by adjusting for potential risk factors. The cumulative incidence of HCC was evaluated using Kaplan-Meier analysis. RESULTS: At study enrollment, the median NLR was 2.0 (interquartile range, 1.4-3.0). The 3-year cumulative probabilities of HCC were 4.8, 8.4, 13.2, and 18.0% across the NLR quartiles, respectively (P < 0.001). Compared with the lowest quartile, higher NLR correlated with an increased HCC occurrence [NLR 1.4-2.0: adjusted hazard ratio (aHR), 1.18 (95% confidence interval (CI), 1.11-1.25); NLR 2.0-3.0: aHR, 2.09 (95% CI, 1.19-3.66); NLR > 3.0: aHR, 2.80 (95% CI, 1.59-4.95); P for trend = 0.001] in the fully adjusted models. In the subgroup analysis, elevated NLR was associated with increased HCC risk, regardless of stratification criteria. CONCLUSION: Elevated NLR is an independent risk factor for HCC occurrence in patients with HBC undergoing antiviral therapy.

Minimal Hepatic Encephalopathy and Biejia-Ruangan Are Associated with First Hospital Readmission in Nonalcoholic Cirrhosis Patients.

Introductionand Aim. Patients with cirrhosis are often hospitalized repeatedly for a variety of complications. This retrospective study aimed to assess the effects of minimal hepatic encephalopathy (MHE) and Biejia-Ruangan (BR) on first hospital readmission in nonalcoholic cirrhosis patients without previous overt hepatic encephalopathy (OHE) or hepatocellular carcinoma (HCC). Materials and Methods. A total of 176 hospitalized patients with nonalcoholic cirrhosis were included in this retrospective study. Patients who were first admitted to Beijing Ditan Hospital of Capital Medical University from January 2017 to September 2019 were enrolled. The primary endpoint was their first liver-related hospital readmission. The risk factors for readmission were analyzed by Cox proportional hazard regression analysis. Results. A total of 176 nonalcoholic cirrhosis patients without previous OHE or HCC were included; 57 patients (32.4%) were diagnosed with MHE, and 63 patients (35.8%) were administered BR (2 g, three times a day). Multivariate analysis revealed that nonalcoholic cirrhosis patients with MHE (HR, 5.805; 95% CI, 3.007-11.206; x, P < 0.001) and a higher Model for End-Stage Liver Disease (MELD) score (HR, 1.145; 95% CI, 1.068-1.227; P < 0.001) had an increased risk of first hospital readmission, and patients treated with BR (HR, 0.318; 95% CI, 0.151-0.670; P=0.003) had a decreased risk of first hospital readmission. Conclusion. MHE increased the risk of hospital readmission in nonalcoholic cirrhosis patients without previous OHE or HCC, and this risk was decreased by BR administration.

Fuzheng Jiedu Xiaoji formulation inhibits hepatocellular carcinoma progression in patients by targeting the AKT/CyclinD1/p21/p27 pathway.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common malignant tumor with limited treatment options. Conventional antitumor therapy combined with traditional Chinese medicine (TCM) to limit tumor progression has gradually become the focus of complementary and alternative therapies for HCC treatment. The Fuzheng Jiedu Xiaoji formulation (FZJDXJ) alleviates the clinical symptoms of patients and inhibits tumor progression, but its curative effect still requires extensive clinical research and mechanistic analysis. PURPOSE: To explore the effectiveness of FZJDXJ in HCC patients and investigate its biological function and mechanism underlying anticancer therapy. METHODS: This randomized controlled clinical trial enrolled 291 HCC patients receiving transcatheter arterial chemoembolization (TACE) therapy; patients received either FZJDXJ combined with standard treatment, or standard treatment alone, for 48 weeks. Statistical analyses were performed according to survival time at the end of the trial. The main constituents of the FZJDXJ extracts were identified and evaluated using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and molecular docking. The antitumor effects of FZJDXJ and its specific biological mechanism of action were studied. RESULTS: After 48 weeks of treatment, one-year overall survival (OS) and progression-free survival (PFS) were significantly different between the two groups. Co-administration of FZJDXJ and TACE prolonged the OS of HCC patients, especially in BCLC A or B stage. FZJDXJ and TACE treatment effectively extended the PFS of patients, especially in the BCLC B stage. HPLC-MS/MS identified 1619 active constituents of FZJDXJ, including formononetin, chlorogenic acid (CGA), caffeic acid, luteolin, gallic acid, diosgenin, ergosterol endoperoxide, and lupeol, which may function through the AKT/CyclinD1/p21/p27 pathways. Through molecular docking, CGA and gallic acid could effectively combine with Thr308, an important phosphorylation site of AKT1. FZJDXJ inhibited tumor growth in nude mice. In vitro, FZJDXJ-mediated serum inhibited the proliferation, migration, and invasion of liver cancer cells, and promoted cell apoptosis. CONCLUSION: Clinically, FZJDXJ combined with TACE therapy significantly prolonged OS and PFS and reduced the mortality rate of HCC patients. Mechanistically, FZJDXJ effectively inhibited the proliferation and migration of liver cancer cells through the modulation of the AKT/CyclinD1/p21/p27 pathways, and may be a promising TCM drug for anti-HCC therapy.

Use of a Novel Thyroid-Stimulating Hormone Model for Predicting the Progression of Hepatocellular Carcinoma.

BACKGROUND: Individuals with hepatocellular carcinoma (HCC) are at risk of tumor recurrence after surgical resection, which affects their survival. The aim of the present study was to establish a model for predicting tumor progression in patients with HCC. METHODS: To develop and validate the efficacy of a novel prognostic model, a retrospective cohort with HCC (n = 1005) at Beijing Ditan Hospital was enrolled from January 2008 and June 2017. Furthermore, a prospective cohort (n = 77) was recruited to validate the association between thyroid-stimulating hormone (TSH) levels and tumor progression in patients with HCC. RESULTS: The model used in predicting the progression of HCC included four variables (namely, Barcelona Clinic Liver Cancer [BCLC] stage, presence of portal vein tumor thrombus, alpha-fetoprotein level, and TSH level). The AUROC of the 1-year progression-free survival (PFS) model was 0.755 and 0.753 in the deriving cohort and validation cohort, respectively, and these values were significantly higher than those of the Child-Pugh score, Model for End-stage Liver Disease (MELD), tumor-lymph node-metastasis (TNM) staging system, Okuda classification, and CLIP score. A simple assessment using a nomogram showed the 1-year PFS rate of patients with HCC. In the prospective cohort, the KM curve showed that the high TSH level group had a shorter PFS than the low TSH level (p = 0.001). CONCLUSION: The prognostic model of HCC progression was superior to other well-known classical tumor scoring systems. A high TSH level was correlated to poor outcome, particularly those with advanced HCC.

Adjuvant Fuzheng Huayu Capsule Reduces the Incidence of Hepatocellular Carcinoma in Patients with Hepatitis B-Caused Cirrhosis.

AIM: Fuzhenghuayu (FZHY) capsule can inhibit the progression of cirrhosis. This study explored whether FZHY can reduce the incidence of hepatocellular carcinoma (HCC) in patients with hepatitis B-caused cirrhosis (HBC) undergoing antiviral therapy. METHODS: A retrospective review of 842 patients with HBC between 2011 and 2015 was performed, including 270 treated with FZHY combined with nucleos (t) ide analogues (NAs) and 572 with NAs alone. The incidence of HCC was compared between the FZHY (n = 259) and control (n = 259) groups using 1 : 1 propensity score (PS) matching. The incidence of HCC in patients with HBC with different Child-Turcotte-Pugh (CTP) classifications and Toronto HCC risk index (THRI) scores was analyzed using Kaplan-Meier curves. RESULTS: The 5-year cumulative incidence of HCC before and after PS matching was 151 (17.9%) and 86 (16.6%), respectively. In PS-matched samples, the multivariate Cox proportional-hazards model indicated that the FZHY group demonstrated a significantly lower risk for HCC than the control group (adjusted hazard ratio [aHR] = 0.32, 95% CI 0.19-0.53 P < 0.001). The risk of HCC diminished with increased duration of FZHY use. The stratified analysis revealed that the FZHY group, regardless of CTP classification, benefited significantly from FZHY therapy. Patients in the medium- and high-THRI risk groups were the dominant population for FZHY. CONCLUSIONS: FZHY combined with NAs was associated with a significantly lower risk of HCC than NAs alone in patients with HBC, which supports the integration of FZHY with antiviral treatment into clinical practice.