Effect of metabolic dysfunction on the risk of liver-related events in patients cured of hepatitis C virus.

The impact of metabolic dysfunction or metabolic dysfunction-associated fatty liver disease (MAFLD) on liver-related events (LREs) in patients with chronic hepatitis C (CHC) who had achieved a sustained virologic response (SVR) to direct-acting antiviral agents (DAAs) is unknown. A total of 924 patients with cured CHC and documented body mass index (BMI) were included in the analysis, and the data period was from September 2012 to April 2022. Hepatic steatosis was identified either through ultrasonography or blood biomarkers. Metabolic dysfunction was defined as the presence of overweight or obesity (BMI ≥ 23 kg/m2), type 2 diabetes mellitus (DM), and metabolic dysregulation. Patients may have more than one metabolic dysfunction. Variables at 12 or 24 weeks after DAA therapy (PW12) were used to identify predictors of LREs. The median age of the 924 patients was 58 (49-65) years. Of the participants, 418 (45.2%) were male. The median BMI was 24.01 (21.78-26.73) kg/m2, and 174 (18.8%) patients had DM. A multivariable Cox regression analysis revealed that age, male, albumin, total bilirubin, alpha-fetoprotein (AFP), metabolic dysfunction (hazard ratio: 1.709, 95% confidence interval: 1.128-2.591, P = .011), and FIB-4 > 3.25 were independent predictors of LREs. Type 2 DM and metabolic dysregulation exhibited a larger time-dependent area under the receiver operating characteristic curve for LREs than did overweight or obesity. Moreover, metabolic dysfunction was identified to be an independent predictor of hepatocellular carcinoma. Metabolic dysfunction increased the risk of LREs and HCC in patients with CHC who had achieved an SVR to DAA therapy.

Combined CRAFITY score and α-fetoprotein response predicts treatment outcomes in patients with unresectable hepatocellular carcinoma receiving anti-programmed death-1 blockade-based immunotherapy.

Biomarkers for predicting the treatment efficacy of immune checkpoint inhibitor (ICI)-based therapy in patients with unresectable hepatocellular carcinoma (uHCC) are crucial. Previous studies demonstrated that C-reactive protein and alpha-fetoprotein (AFP) in immunotherapy (CRAFITY) score at baseline predicted treatment outcomes and that patients with uHCC with AFP response, defined as > 15% decline in AFP level within the initial 3 months of ICI-based therapy, had favorable outcomes when receiving ICI-based therapy. However, whether the combination of CRAFITY score and AFP response could be used to predict treatment efficacy of programmed death-1 (PD-1) blockade-based therapy in uHCC patients remains unclear. We retrospectively enrolled 110 consecutive uHCC patients from May 2017 to March 2022. The median ICI treatment duration was 2.85 (1.67-6.63) months, and 87 patients received combination therapies. The objective response and disease control rates were 21.8% and 46.4%, respectively. The duration of progression-free survival (PFS) and overall survival (OS) was 2.87 (2.16-3.58) months and 8.20 (4.23-12.17) months, respectively. We categorized patients into three groups based on CRAFITY score (2 vs 0/1) and AFP response: patients with a CRAFITY score of 0/1 and AFP response (Group 1), those with a CRAFITY score of 2 and no AFP response (group 3), and those who did not belong to Group 1 and 3 (i.e., Group 2). The combination of CRAFITY score and AFP response could predict disease control and could predict PFS compared with CRAFITY score or AFP response alone. The combination of CRAFITY score and AFP response was an independent predictor of OS (Group 2 vs Group 1, HR: 4.513, 95% CI 1.990-10.234; Group 3 vs Group 1, HR: 3.551, 95% CI 1.544-8.168). Our findings indicated that the combination of CRAFITY score and AFP response could predict disease control, PFS, and OS in uHCC patients receiving PD-1 blockade-based immunotherapy.

Posttreatment nonalcoholic fatty liver disease fibrosis scores for predicting liver-related complications in patients with chronic hepatitis C receiving direct-acting antiviral agents.

Patients with chronic hepatitis C (CHC) have a higher prevalence of hepatic steatosis and dyslipidaemia than healthy individuals. We analysed noninvasive fibrosis assessments, especially nonalcoholic fatty liver disease (NAFLD)-related noninvasive fibrosis tests, for predicting liver-related complications and hepatocellular carcinoma (HCC) occurrence in patients with CHC. This retrospective study enrolled 590 consecutive patients with CHC having a sustained virologic response (SVR) to direct-acting antiviral agent (DAA) therapy. The NAFLD fibrosis score (NFS) exhibiting the highest value of area under the receiver operating characteristic curve (AUROC) was selected for comparison with the fibrosis-4 index (FIB-4). Of the 590 patients, 188 had metabolic syndrome. A multivariate Cox regression analysis identified total bilirubin at 3 or 6 months after DAA therapy (PW12), NFS at PW12 (hazard ratio [HR]: 2.125, 95% confidence interval [CI]: 1.058-4.267, p = .034) and alpha-fetoprotein (AFP) at PW12 (HR: 1.071, 95% CI: 1.005-1.142, p = .034) as the independent predictors of liver-related complications in all patients. In patients with metabolic syndrome, NFS and AFP values at PW12 were independent predictors of liver-related complications and HCC occurrence. Time-dependent NFS AUROC values at PW12 for 1-, 2- and 3-year liver-related complications were higher than NFS values at baseline in patients with metabolic syndrome. NFS at baseline or PW12 is a more effective predictor of liver-related complications than FIB-4 values in all patients. NFS at PW12 may be a useful predictor of liver-related complications and HCC development in patients with CHC with an SVR to DAA therapy, especially in those with metabolic syndrome.

On-Treatment Albumin-Bilirubin Grade: Predictor of Response and Outcome of Sorafenib-Regorafenib Sequential Therapy in Patients with Unresectable Hepatocellular Carcinoma.

In the RESORCE study, regorafenib after sorafenib therapy improved survival in patients with advanced hepatocellular carcinoma (HCC). In total, 88 patients with unresectable HCC who received sorafenib-regorafenib sequential therapy were enrolled. The objective response rate and disease control rate were 19.3% and 48.9%, respectively, for regorafenib therapy (median duration: 8.1 months). Median progression-free survival (PFS) after regorafenib therapy was 4.2 months (95% CI: 3.2-5.1). The median overall survival (OS; from initiation of either sorafenib or regorafenib) was not reached in this cohort. According to multivariate Cox regression analyses, albumin-bilirubin (ALBI) grade at the initiation of regorafenib therapy is an independent predictor of disease control, PFS, and OS. Moreover, the combination of ALBI grade 2 and an alpha-fetoprotein (AFP) level of ≥20 ng/mL was an independent predictor of PFS (hazard ratio (HR): 3.088, 95% CI: 1.704-5.595; p < 0.001) for regorafenib therapy, and OS for both regorafenib (HR: 3.783, 95% CI: 1.316-10.88; p = 0.014) and sorafenib-regorafenib sequential (HR: 4.603, 95% CI: 1.386-15.29; p = 0.013) therapy. A combination of ALBI grade and AFP level can be used to stratify patients with unresectable HCC by PFS and OS probability for sorafenib-regorafenib sequential therapy.

Alpha-fetoprotein response predicts treatment outcomes in patients with unresectable hepatocellular carcinoma receiving immune checkpoint inhibitors with or without tyrosine kinase inhibitors or locoregional therapies.

Combined immune checkpoint inhibitors (ICIs) along with tyrosine kinase inhibitors (TKIs) and locoregional therapies have been used increasingly to treat hepatocellular carcinoma (HCC). Biomarkers are required to predict the treatment efficacy of ICIs with or without combination therapies in patients with unresectable HCC. This study enrolled 95 consecutive patients with unresectable HCC from May 2017 to June 2021 from two hospitals retrospectively. Of the 95 patients, 15 and 80 had Barcelona Clinic Liver Cancer stages B and C, respectively. The median ICI treatment duration was 3.43 (1.87-7.87) months, and 77 patients received combination therapies. Radiological imaging was not performed in 13 patients. Objective response and disease control rates were 27.4% and 53.7%, respectively. The duration of progression-free survival (PFS) and overall survival (OS) was 4.07 (1.59-6.54) months and 14.53 (6.93-22.14) months, respectively. Alpha-fetoprotein (AFP) response was defined as a decline of >15% in the serum AFP level within the initial 3 months of ICI therapy according to Youden's index. AFP response was determined to be a predictor of disease control (odds ratio: 11.657, 95% confidence interval [CI]: 2.834-47.941, P=.001). Macrovascular invasion (MVI), AFP response (hazard ratio [HR]: 0.488, 95% CI: 0.255-0.934, P=.030), combination therapy, and disease control were predictors of PFS, and MVI, AFP response (HR: 0.344, 95% CI: 0.160-0.737, P=.006), and disease control were predictors of OS. AFP response was a predictor of disease control, PFS, and OS. These findings indicate that AFP response can serve as a biomarker to predict treatment outcomes in patients with unresectable HCC receiving ICIs with or without TKIs or locoregional therapies.

Predictors of response and survival in patients with unresectable hepatocellular carcinoma treated with nivolumab: real-world experience.

Real-world predictors of the treatment efficacy of immune checkpoint inhibitors for hepatocellular carcinoma (HCC) are unknown. This retrospective study enrolled 87 consecutive patients with unresectable HCC from May 2017 to December 2019 at two hospitals. Of the 87 patients, 7, 9, 60, and 11 patients had Barcelona Clinic Liver Cancer stages A, B, C, and D, respectively, and 45, 30, and 10 patients were Child-Pugh class A, B, and C, respectively. The median injection numbers of nivolumab and treatment duration were 6 (3-8) and 2.53 (1.47-4.23) months, respectively, and 64.4% of patients received combination therapy. Radiological imaging was not assessed for 25 patients. Objective response (OR) and disease control rates were 19.5% and 39.1%, respectively. A single tumor (odds ratio: 9.542, P = .015) and ≥20% decline in serum α-fetoprotein protein (AFP) levels within the first 3 months of treatment (defined as AFP response, odds ratio: 5.997, P = .042) were predictors of OR. Lack of macrovascular invasion, combination therapy, and AFP response were predictors of progression-free survival. A Cancer of the Liver Italian Program (CLIP) score of 0-2 (hazard ratio [HR]: 3.717, P = .004) and grade 1-2 immune-related adverse events (irAEs, HR: 2.217, P = .049) were predictors of overall survival (OS) in the entire cohort, and a CLIP score of 0-2 (HR: 3.257, P = .009) was a predictor of OS in evaluable patients. IrAEs ≥ grade 3 were noted in 14 patients, and three died as a result. Having a single tumor and AFP response were predictors of OR, and CLIP score was a predictor of OS.

Performance of Acoustic Radiation Force Impulse Elastography for Staging Liver Fibrosis in Patients With Chronic Hepatitis C After Viral Eradication.

BACKGROUND: Data on noninvasive liver fibrosis staging after viral eradication are unclear. This histology-based study validated the performance of liver stiffness (LS) measurements after viral eradication. METHODS: Consecutive participants with chronic hepatitis C (CHC) who received concomitant LS measurements through acoustic radiation force impulse (ARFI) elastography and percutaneous liver biopsy were prospectively screened and analyzed. RESULTS: Of the 644 patients, 521 (80.9%) underwent a biopsy at treatment baseline, and the remaining 123 (19.1%) underwent a biopsy at 3 years (median; interquartile range, 0.1) after the sustained virological response (SVR) to pegylated interferon-based and direct-acting antiviral treatments. The proportions of histological fibrosis stages did not differ significantly between the pretreatment and post-SVR groups (P = .0615). However, the LS values differed significantly (P < .0001). The median LS values (presented as shear wave velocities in meters per second) were 1.51 (0.92) for the pretreatment group and 1.22 (0.77) for the post-SVR group. The cutoffs (areas under the receiver operating characteristic curve, obtained using the bootstrap method) to dichotomize between METAVIR fibrosis stage F1 versus stages F2-F4, F1-F2 versus F3-F4, and F1-F3 versus F4 were 1.47 (0.8333, 95% confidence interval [CI] 0.7981-0.8663), 1.81 (0.8763, 95% CI 0.8376-0.9107), and 1.86 (0.8811, 95% CI 0.8378-0.9179) in the pretreatment group, respectively, and 1.22 (0.7872, 95% CI 0.7001-0.8624), 1.59 (0.8808, 95% CI 0.8034-0.9422), and 1.75 (0.9018, 95% CI 0.8201-0.9644) in the post-SVR group, respectively. CONCLUSIONS: The performance of LS measurements through ARFI elastography is promising to determine the liver fibrosis stage on necroinflammation-resolved histology in CHC after viral eradication.

Rapid decline of noninvasive fibrosis index values in patients with hepatitis C receiving treatment with direct-acting antiviral agents.

BACKGROUND: Studies on temporal changes in noninvasive fibrosis indices and liver stiffness measurement (LSM) in patients with chronic hepatitis C (CHC) treated with direct-acting antiviral agents (DAAs) are limited. METHODS: We retrospectively enrolled consecutive patients with CHC who had received DAAs. RESULTS: In total, we recruited 395 consecutive patients, of which 388 (98.2%) achieved a sustained virologic response (SVR) at 12 weeks after therapy. In patients who received DAA therapy and achieved SVR 12 weeks after therapy (n = 388), the median aspartate aminotransferase/platelet ratio index (APRI) value decreased from 1.19 (0.62-2.44) at baseline to 0.50 (0.32-0.95), 0.51 (0.31-0.92), 0.48 (0.31-0.88), and 0.52 (0.33-0.92) at week 2, week 4, end of therapy, and PW12, respectively (all P < 0.001). The median FIB-4 value decreased from 2.88 (1.56-5.60) at baseline to 2.10 (1.30-3.65), 2.15 (1.30-3.65), 2.11 (1.37-3.76), and 2.22 (1.45-3.82) at week 2, week 4, end of therapy, and PW12, respectively (all P < 0.001). The median alanine aminotransferase level significantly decreased from week 2 until PW12 (all P < 0.001). The platelet count significantly increased from 2 weeks after DAA therapy initiation until PW12 (all P < 0.001); however, the magnitude of changes in the platelet count was low. In patients with paired LSMs obtained using acoustic radiation force impulse elastography at baseline and PW12 (n = 199), the median LSM decreased from 1.78 (1.25-2.30) m/s at baseline to 1.38 (1.14-1.88) m/s at PW12 (P < 0.001). CONCLUSIONS: Noninvasive fibrosis indices, namely APRI and FIB-4, exhibited a rapid and sustained decline from week 2 until PW12 in patients with CHC who achieved SVR to DAA therapy. The rapid decline in APRI and FIB-4 values might mainly result from improvement in necroinflammation.

Publisher Correction: New noninvasive index for predicting liver fibrosis in Asian patients with chronic viral hepatitis.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Changes in liver stiffness measurement using acoustic radiation force impulse elastography after antiviral therapy in patients with chronic hepatitis C.

BACKGROUND: To compare on-treatment and off-treatment parameters acquired using acoustic radiation force impulse elastography, the Fibrosis-4 (FIB-4) index, and aspartate aminotransferase-to-platelet ratio index (APRI) in patients with chronic hepatitis C (CHC). METHODS: Patients received therapies based on pegylated interferon or direct-acting antiviral agents. The changes in paired patient parameters, including liver stiffness (LS) values, the FIB-4 index, and APRI, from baseline to sustained virologic response (SVR) visit (24 weeks after the end of treatment) were compared. Multiple regression models were used to identify significant factors that explained the correlations with LS, FIB-4, and APRI values and SVR. RESULTS: A total of 256 patients were included, of which 219 (85.5%) achieved SVR. The paired LS values declined significantly from baseline to SVR visit in all groups and subgroups except the nonresponder subgroup (n = 10). Body mass index (P = 0.0062) and baseline LS (P < 0.0001) were identified as independent factors that explained the LS declines. Likewise, the baseline FIB-4 (P < 0.0001) and APRI (P < 0.0001) values independently explained the declines in the FIB-4 index and APRI, respectively. Moreover, interleukin-28B polymorphisms, baseline LS, and rapid virologic response were identified as independent correlates with SVR. CONCLUSIONS: Paired LS measurements in patients treated for CHC exhibited significant declines comparable to those in FIB-4 and APRI values. These declines may have correlated with the resolution of necroinflammation. Baseline LS values predicted SVR.

Trajectories of serum hepatitis B surface antigen kinetics in patients with chronic hepatitis B receiving long-term nucleos(t)ide analogue therapy.

BACKGROUND & AIMS: The kinetics of serum hepatitis B surface antigen (HBsAg) levels during long-term nucleos(t)ide analogue (NA) therapy in chronic hepatitis B (CHB) patients remains unclear. We investigated the patterns of serum HBsAg kinetics and their association with therapeutic outcomes in genotype B- or C-infected CHB patients receiving long-term NA therapy. METHODS: We enrolled 329 treatment-naive CHB patients receiving NA therapy for >5 years to analyse the kinetic patterns by using group-based trajectory models (GBTMs). RESULTS: Most patients (82.4%) received entecavir therapy. The median treatment duration was 83.6 (68.5-89.7) months. The GBTMs revealed three groups for both the hepatitis B e antigen (HBeAg)-positive and -negative patients. The median annual decline in serum HBsAg levels during the first 5 years was significantly higher in Group 1 than in Groups 2 and 3 in HBeAg-positive (0.78 vs 0.10 vs 0.10 log10 IU/mL) and HBeAg-negative (0.71 vs 0.08 vs 0.09 log10 IU/mL) patients. HBsAg levels at the baseline and 12 months combined with an HBsAg decline from the baseline to 12 months of treatment predicted trajectory pattern 1 in HBeAg-positive (sensitivity, 77.8%; specificity, 99.1%; positive predictive value [PPV], 87.5%; and negative predictive value [NPV], 98.2%) and HBeAg-negative (sensitivity, 100%; specificity, 99.5%; PPV, 88.9%; and NPV, 100%) patients. The trajectory patterns were significantly associated with HBeAg loss in the HBeAg-positive patients and the achievement of HBsAg <100 IU/mL or HBsAg loss in HBeAg-positive and HBeAg-negative patients. CONCLUSIONS: The trajectory of serum HBsAg levels predicts HBsAg loss in CHB patients receiving long-term NA therapy.

Phase III HEAT Study Adding Lyso-Thermosensitive Liposomal Doxorubicin to Radiofrequency Ablation in Patients with Unresectable Hepatocellular Carcinoma Lesions.

Purpose: Lyso-thermosensitive liposomal doxorubicin (LTLD) consists of doxorubicin contained within a heat-sensitive liposome. When heated to ≥40°C, LTLD locally releases a high concentration of doxorubicin. We aimed to determine whether adding LTLD improves the efficacy of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) lesions with a maximum diameter (dmax) of 3 to 7 cm.Experimental Design: The HEAT Study was a randomized, double-blind, dummy-controlled trial of RFA ± LTLD. The 701 enrolled patients had to have ≤4 unresectable HCC lesions, at least one of which had a dmax of 3 to 7 cm. The primary endpoint was progression-free survival (PFS) and a key secondary endpoint was overall survival (OS). Post hoc subset analyses investigated whether RFA duration was associated with efficacy.Results: The primary endpoint was not met; in intention-to-treat analysis, the PFS HR of RFA + LTLD versus RFA alone was 0.96 [95% confidence interval (CI), 0.79-1.18; P = 0.71], and the OS HR ratio was 0.95 (95% CI, 0.76-1.20; P = 0.67). Among 285 patients with a solitary HCC lesion who received ≥45 minutes RFA dwell time, the OS HR was 0.63 (95% CI, 0.41-0.96; P < 0.05) in favor of combination therapy. RFA + LTLD had reversible myelosuppression similar to free doxorubicin.Conclusions: Adding LTLD to RFA was safe but did not increase PFS or OS in the overall study population. However, consistent with LTLD's heat-based mechanism of action, subgroup analysis suggested that RFA + LTLD efficacy is improved when RFA dwell time for a solitary lesion ≥45 minutes. Clin Cancer Res; 24(1); 73-83. ©2017 AACR.

New noninvasive index for predicting liver fibrosis in Asian patients with chronic viral hepatitis.

We developed an optimal noninvasive index comprising routine laboratory parameters for predicting cirrhosis in chronic hepatitis B (CHB) and chronic hepatitis C (CHC) patients. This study included 992 CHB patients and 1,284 CHC patients who received liver biopsy. We developed the new index, named modified Fibrosis-4 (mFIB-4) according to four independent variables of the model: age, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and platelet count. The formula of the mFIB-4 index is 10 × Age(years) × AST(U/L)/Platelet count(109/L) × AST(U/L). For predicting cirrhosis, the bootstrap areas under the receiver operating characteristic curve for platelet count, AST/ALT ratio (AAR), AAR/platelet ratio index (AARPRI), AST/platelet ratio index (APRI), FIB-4, Pohl score, age-platelet (AP) index, Lok index, fibrosis quotient (FibroQ), and mFIB-4 were 0.7680, 0.7400, 0.8070, 0.6090, 0.7690, 0.6990, 0.7850, 0.7960, 0.8110, and 0.8070 in CHB patients, and 0.8170, 0.7210, 0.8400, 0.7310, 0.8310, 0.6730, 0.8220, 0.8440, 0.8570, and 0.8480 in CHC patients, respectively. FibroQ and mFIB-4 exhibited the highest diagnostic performance levels for liver cirrhosis in CHB and CHC despite the inclusion of the international normalised ratio in the formulation of FibroQ. Thus, mFIB-4 is a simple, inexpensive, and readily available method for assessing the liver fibrosis stage of Asian patients with CHB or CHC.

Brain isoform glycogen phosphorylase as a novel hepatic progenitor cell marker.

An appropriate liver-specific progenitor cell marker is a stepping stone in liver regenerative medicine. Here, we report brain isoform glycogen phosphorylase (GPBB) as a novel liver progenitor cell marker. GPBB was identified in a protein complex precipitated by a monoclonal antibody Ligab generated from a rat liver progenitor cell line Lig-8. Immunoblotting results show that GPBB was expressed in two liver progenitor cell lines Lig-8 and WB-F344. The levels of GPBB expression decreased in the WB-F344 cells under sodium butyrate (SB)-induced cell differentiation, consistent with roles of GPBB as a liver progenitor cell marker. Short hairpin RNA (shRNA)-mediated GPBB knockdown followed by glucose deprivation test shows that GPBB aids in liver progenitor cell survival under low glucose conditions. Furthermore, shRNA-mediated GPBB knockdown followed by SB-induced cell differentiation shows that reducing GPBB expression delayed liver progenitor cell differentiation. We conclude that GPBB is a novel liver progenitor cell marker, which facilitates liver progenitor cell survival under low glucose conditions and cell differentiation.

Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures.

A description of patient conditions should consist of the changes in and combination of clinical measures. Traditional data-processing method and classification algorithms might cause clinical information to disappear and reduce prediction performance. To improve the accuracy of clinical-outcome prediction by using multiple measurements, a new multiple-time-series data-processing algorithm with period merging is proposed. Clinical data from 83 hepatocellular carcinoma (HCC) patients were used in this research. Their clinical reports from a defined period were merged using the proposed merging algorithm, and statistical measures were also calculated. After data processing, multiple measurements support vector machine (MMSVM) with radial basis function (RBF) kernels was used as a classification method to predict HCC recurrence. A multiple measurements random forest regression (MMRF) was also used as an additional evaluation/classification method. To evaluate the data-merging algorithm, the performance of prediction using processed multiple measurements was compared to prediction using single measurements. The results of recurrence prediction by MMSVM with RBF using multiple measurements and a period of 120 days (accuracy 0.771, balanced accuracy 0.603) were optimal, and their superiority to the results obtained using single measurements was statistically significant (accuracy 0.626, balanced accuracy 0.459, P < 0.01). In the cases of MMRF, the prediction results obtained after applying the proposed merging algorithm were also better than single-measurement results (P < 0.05). The results show that the performance of HCC-recurrence prediction was significantly improved when the proposed data-processing algorithm was used, and that multiple measurements could be of greater value than single.

Recurrence predictive models for patients with hepatocellular carcinoma after radiofrequency ablation using support vector machines with feature selection methods.

BACKGROUND AND OBJECTIVE: Recurrence of hepatocellular carcinoma (HCC) is an important issue despite effective treatments with tumor eradication. Identification of patients who are at high risk for recurrence may provide more efficacious screening and detection of tumor recurrence. The aim of this study was to develop recurrence predictive models for HCC patients who received radiofrequency ablation (RFA) treatment. METHODS: From January 2007 to December 2009, 83 newly diagnosed HCC patients receiving RFA as their first treatment were enrolled. Five feature selection methods including genetic algorithm (GA), simulated annealing (SA) algorithm, random forests (RF) and hybrid methods (GA+RF and SA+RF) were utilized for selecting an important subset of features from a total of 16 clinical features. These feature selection methods were combined with support vector machine (SVM) for developing predictive models with better performance. Five-fold cross-validation was used to train and test SVM models. RESULTS: The developed SVM-based predictive models with hybrid feature selection methods and 5-fold cross-validation had averages of the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and area under the ROC curve as 67%, 86%, 82%, 69%, 90%, and 0.69, respectively. CONCLUSIONS: The SVM derived predictive model can provide suggestive high-risk recurrent patients, who should be closely followed up after complete RFA treatment.

Enhancement of CYP3A4 activity in Hep G2 cells by lentiviral transfection of hepatocyte nuclear factor-1 alpha.

Human hepatoma cell lines are commonly used as alternatives to primary hepatocytes for the study of drug metabolism in vitro. However, the phase I cytochrome P450 (CYP) enzyme activities in these cell lines occur at a much lower level than their corresponding activities in primary hepatocytes, and thus these cell lines may not accurately predict drug metabolism. In the present study, we selected hepatocyte nuclear factor-1 alpha (HNF1α) from six transcriptional regulators for lentiviral transfection into Hep G2 cells to optimally increase their expression of the CYP3A4 enzyme, which is the major CYP enzyme in the human body. We subsequently found that HNF1α-transfected Hep G2 enhanced the CYP3A4 expression in a time- and dose-dependent manner and the activity was noted to increase with time and peaked 7 days. With a multiplicity of infection (MOI) of 100, CYP3A4 expression increased 19-fold and enzyme activity more than doubled at day 7. With higher MOI (1,000 to 3,000), the activity increased 8- to 10-fold; however, it was noted the higher MOI, the higher cell death rate and lower cell survival. Furthermore, the CYP3A4 activity in the HNF1α-transfected cells could be induced by CYP3A4-specific inducer, rifampicin, and metabolized nifedipine in a dose-dependent manner. With an MOI of 3,000, nifedipine-metabolizing activity was 6-fold of control and as high as 66% of primary hepatocytes. In conclusion, forceful delivery of selected transcriptional regulators into human hepatoma cells might be a valuable method to enhance the CYP activity for a more accurate determination of drug metabolism in vitro.

Information extraction for tracking liver cancer patients' statuses: from mixture of clinical narrative report types.

OBJECTIVE: To provide an efficient way for tracking patients' condition over long periods of time and to facilitate the collection of clinical data from different types of narrative reports, it is critical to develop an efficient method for smoothly analyzing the clinical data accumulated in narrative reports. MATERIALS AND METHODS: To facilitate liver cancer clinical research, a method was developed for extracting clinical factors from various types of narrative clinical reports, including ultrasound reports, radiology reports, pathology reports, operation notes, admission notes, and discharge summaries. An information extraction (IE) module was developed for tracking disease progression in liver cancer patients over time, and a rule-based classifier was developed for answering whether patients met the clinical research eligibility criteria. The classifier provided the answers and direct/indirect evidence (evidence sentences) for the clinical questions. To evaluate the implemented IE module and the classifier, the gold-standard annotations and answers were developed manually, and the results of the implemented system were compared with the gold standard. RESULTS: The IE model achieved an F-score from 92.40% to 99.59%, and the classifier achieved accuracy from 96.15% to 100%. CONCLUSIONS: The application was successfully applied to the various types of narrative clinical reports. It might be applied to the key extraction for other types of cancer patients.

A web-based data-querying tool based on ontology-driven methodology and flowchart-based model.

BACKGROUND: Because of the increased adoption rate of electronic medical record (EMR) systems, more health care records have been increasingly accumulating in clinical data repositories. Therefore, querying the data stored in these repositories is crucial for retrieving the knowledge from such large volumes of clinical data. OBJECTIVE: The aim of this study is to develop a Web-based approach for enriching the capabilities of the data-querying system along the three following considerations: (1) the interface design used for query formulation, (2) the representation of query results, and (3) the models used for formulating query criteria. METHODS: The Guideline Interchange Format version 3.5 (GLIF3.5), an ontology-driven clinical guideline representation language, was used for formulating the query tasks based on the GLIF3.5 flowchart in the Protégé environment. The flowchart-based data-querying model (FBDQM) query execution engine was developed and implemented for executing queries and presenting the results through a visual and graphical interface. To examine a broad variety of patient data, the clinical data generator was implemented to automatically generate the clinical data in the repository, and the generated data, thereby, were employed to evaluate the system. The accuracy and time performance of the system for three medical query tasks relevant to liver cancer were evaluated based on the clinical data generator in the experiments with varying numbers of patients. RESULTS: In this study, a prototype system was developed to test the feasibility of applying a methodology for building a query execution engine using FBDQMs by formulating query tasks using the existing GLIF. The FBDQM-based query execution engine was used to successfully retrieve the clinical data based on the query tasks formatted using the GLIF3.5 in the experiments with varying numbers of patients. The accuracy of the three queries (ie, "degree of liver damage," "degree of liver damage when applying a mutually exclusive setting," and "treatments for liver cancer") was 100% for all four experiments (10 patients, 100 patients, 1000 patients, and 10,000 patients). Among the three measured query phases, (1) structured query language operations, (2) criteria verification, and (3) other, the first two had the longest execution time. CONCLUSIONS: The ontology-driven FBDQM-based approach enriched the capabilities of the data-querying system. The adoption of the GLIF3.5 increased the potential for interoperability, shareability, and reusability of the query tasks.

The prediction of drug metabolism using scaffold-mediated enhancement of the induced cytochrome P450 activities in fibroblasts by hepatic transcriptional regulators.

A reliable, reproducible, and convenient in vitro platform for drug metabolism determination and toxicity prediction is of tremendous value but still lacking. In the present study, a collection of 24 hepatic transcription factors and nuclear receptors in different combinations were surveyed, and 10 among them were finally selected to induce the expression and enzyme activities of cytochrome P450 (CYP) 3A4, 1B1, and 2C9 in human dermal fibroblasts (HDFs). The expression and activities of these CYPs in the induced HDFs were higher than those in commonly used hepatoma cell lines. High CYP expression and activities could be further enhanced by culturing the induced HDFs either as spheroids or into several kinds of scaffolds, particularly the tri-copolymer scaffold composed of gelatin, chondroitin and hyaluronan. More strikingly, there showed a synergistic effect of seeding and culturing the spheroids into the tri-copolymer scaffold. Scanning electron microscopy and confocal microscopy disclosed well accommodation of these spheroids inside the scaffolds and displayed a high survival rate. Moreover, the spheroid/scaffold constructs could metabolize an anti-hypertension drug nifedipine into oxidized nifedipine, showing their applicability in studying drug metabolism. This study presents a strategy to induce the expression and enzyme activities of critical CYPs in HDFs, and may have potential to establish an in vitro platform to study drug metabolism and to predict the possible human risk of drug toxicity.