Metavir and FIB-4 scores are associated with patient prognosis after curative hepatectomy in hepatitis B virus-related hepatocellular carcinoma: a retrospective cohort study at two centers in China

Unraveling the Emerging Niche Role of Hepatic Stellate Cell-derived Exosomes in Liver Diseases

Hepatic stellate cells (HSCs) play an essential role in various liver diseases, and exosomes are critical mediators of intercellular communication in local and distant microenvironments. Cellular crosstalk between HSCs and surrounding multiple tissue-resident cells promotes or inhibits the activation of HSCs. Substantial evidence has revealed that HSC-derived exosomes are involved in the occurrence and development of liver diseases through the regulation of retinoid metabolism, lipid metabolism, glucose metabolism, protein metabolism, and mitochondrial metabolism. HSC-derived exosomes are underpinned by vehicle molecules, such as mRNAs and microRNAs, that function in, and significantly affect, the processes of various liver diseases, such as acute liver injury, alcoholic liver disease, nonalcoholic fatty liver disease, viral hepatitis, fibrosis, and cancer. As such, numerous exosomes derived from HSCs or HSC-associated exosomes have attracted attention because of their biological roles and translational applications as potential targets for therapeutic targets. Herein, we review the pathophysiological and metabolic processes associated with HSC-derived exosomes, their roles in various liver diseases and their potential clinical application.

Blueberry and cranberry extracts mitigate CCL4-induced liver damage, suppressing liver fibrosis, inflammation and oxidative stress

The current study aims to evaluate potential hepatoprotective effect of lingonberry, cranberry and blueberry polyphenols on carbon tetrachloride (CCL-4)-induced acute and subacute liver injury in rats. A total of 55 male Wistar rats, divided into six experimental and control groups. With the exception of the negative control group, all groups received an intraperitoneal injection of CCl-4, twice a week for 14 days. An extract of lingonberry, cranberry, blueberry polyphenols and the positive control, silymarin were administered daily via intragastric route, for 14 consecutive days. The untreated control group showed characteristic of classical oxidative stress-mediated liver damage with vacuolization of the hepatocyte cytoplasm, infiltration by immune cells and proliferation of collagen fibers, decrease in body weight and increase in liver weight; increased levels of AST and ALT in serum, an increased lipid peroxidation in the liver. However, the use of cranberry and blueberry polyphenols significantly suppressed liver damage, exerting an effect comparable to the hepatoprotective effect of the positive control. The extracts prevented and reduced inflammatory liver damage by reducing IL-6, TNF-α and IFN-γ levels. In conclusion, blueberry and cranberry extracts have a protective effect against acute and subacute CCl4-induced hepatotoxicity in rats.

Enhancing the ethanol production by exploiting a novel metagenomic-derived bifunctional xylanase/β-glucosidase enzyme with improved β-glucosidase activity by a nanocellulose carrier

Some enzymes can catalyze more than one chemical conversion for which they are physiologically specialized. This secondary function, which is called underground, promiscuous, metabolism, or cross activity, is recognized as a valuable feature and has received much attention for developing new catalytic functions in industrial applications. In this study, a novel bifunctional xylanase/β-glucosidase metagenomic-derived enzyme, PersiBGLXyn1, with underground β-glucosidase activity was mined by in-silico screening. Then, the corresponding gene was cloned, expressed and purified. The PersiBGLXyn1 improved the degradation efficiency of organic solvent pretreated coffee residue waste (CRW), and subsequently the production of bioethanol during a separate enzymatic hydrolysis and fermentation (SHF) process. After characterization, the enzyme was immobilized on a nanocellulose (NC) carrier generated from sugar beet pulp (SBP), which remarkably improved the underground activity of the enzyme up to four-fold at 80°C and up to two-fold at pH 4.0 compared to the free one. The immobilized PersiBGLXyn1 demonstrated 12 to 13-fold rise in half-life at 70 and 80°C for its underground activity. The amount of reducing sugar produced from enzymatic saccharification of the CRW was also enhanced from 12.97 g/l to 19.69 g/l by immobilization of the enzyme. Bioethanol production was 29.31 g/l for free enzyme after 72 h fermentation, while the immobilized PersiBGLXyn1 showed 51.47 g/l production titre. Overall, this study presented a cost-effective in-silico metagenomic approach to identify novel bifunctional xylanase/β-glucosidase enzyme with underground β-glucosidase activity. It also demonstrated the improved efficacy of the underground activities of the bifunctional enzyme as a promising alternative for fermentable sugars production and subsequent value-added products.

Nomograms Incorporating the CNLC Staging System Predict the Outcome of Hepatocellular Carcinoma After Curative Resection

Purpose

Prediction models of postoperative outcomes of patients with hepatocellular carcinoma (HCC) after surgery based on the China liver cancer (CNLC) staging system are rare. This study aimed to compare the prognostic abilities of CNLC, Tumor-Node-Metastasis (TNM) 8th edition, and Barcelona Clinic Liver Cancer (BCLC) staging systems for HCC after curative resection. We developed two nomograms incorporating the CNLC staging system to predict the postoperative recurrence-free survival (RFS) and overall survival (OS) of HCC patients.

Patients and methods

The prognostic abilities of the CNLC, TNM and BCLC staging systems for HCC after curative resection were compared using receiver operating characteristic (ROC) curves. Two nomograms incorporating five selected risk factors were constructed based on multivariate Cox regression in the primary cohort of 312 HCC patients. It was validated with an independent validation cohort of 130 HCC patients. The predictive performance and discrimination ability of the two nomograms were further evaluated and compared with those of the TNM and BCLC staging systems.

Results

The CNLC staging system had a higher area under the receiver operating characteristic curve (AUROC) value for both OS (AUC=0.692) and RFS (AUC=0.673) than the TNM (ROC=0.667 for OS and 0.652 for RFS) and BCLC (ROC=0.671 for OS and 0.670 for RFS) staging systems. The independent predictors of OS (cirrhosis, gamma-glutamyl transpeptidase (GGT), tumor differentiation and CNLC staging system) and RFS (α-fetoprotein (AFP) and CNLC staging system) were incorporated into the two nomograms. The OS and RFS nomograms consistently outperformed the TNM and BCLC staging systems in the primary cohort. These results were verified in the validation cohort. In the 442 patients with HCC, the RFS nomogram could predict early recurrence very well.

Conclusion

The two proposed nomograms incorporating the CNLC staging system can predict the outcomes of patients with HCC after curative hepatectomy in clinical practice.

Estimation of liver elasticity using the finite element method and four-dimensional computed tomography images as a biomarker of liver fibrosis

PURPOSE

Current radiotherapy planning procedures are generally designed based on anatomical information only and use computed tomography (CT) images that do not incorporate organ-functional information. In this study, we developed a method for estimating liver elasticity using the finite element method (FEM) and four-dimensional CT (4DCT) images acquired during radiotherapy planning, and we subsequently evaluated its feasibility as a biomarker for liver fibrosis.

MATERIALS AND METHODS

Twenty patients who underwent 4DCT and ultrasound-based transient elastography (UTE) were enrolled. All patients had chronic liver disease or cirrhosis. Liver elasticity measurements of the UTE were performed on the right lobe of the patient's liver in 20 patients. The serum biomarkers of the aspartate aminotransferase (AST)-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4) were available in 18 of the 20 total patients, which were measured within 1 week after undergoing 4DCT. The displacement between the 4DCT images obtained at the endpoints of exhalation and inspiration was determined using the actual (via deformable image registration) and simulated (via FEM) respiration-induced displacement. The elasticity of each element of the liver model was optimized by minimizing the error between the actual and simulated respiration-induced displacement. Then, each patient's estimated liver elasticity was defined as the mean Young's modulus of the liver's right lobe and that of the whole liver using the estimated elasticity map. The estimated liver elasticity was evaluated for correlations with the elasticity obtained via UTE and with two serum biomarkers (APRI and FIB-4).

RESULTS

The mean ± standard deviation (SD) of the errors between the actual and simulated respiration-induced displacement in the liver model was 0.54 ± 0.33 mm. The estimated liver's right lobe elasticity was statistically significantly correlated with the UTE (r = 0.87, P < 0.001). Furthermore, the estimated whole liver elasticity was statistically significantly correlated with the UTE (r = 0.84, P < 0.001), APRI score (r = 0.62, P = 0.005), and FIB-4 score (r = 0.54, P = 0.021).

CONCLUSION

In this study, liver elasticity was estimated through FEM-based simulation and actual respiratory-induced liver displacement obtained from 4DCT images. Furthermore, we assessed that the estimated elasticity of the liver's right lobe was strongly correlated with the UTE. Therefore, the estimated elasticity has the potential to be a feasible imaging biomarker for assessing liver fibrosis using only 4DCT images without additional inspection or equipment costs. Because our results were derived from a limited sample of 20 patients, it is necessary to evaluate the accuracy of elasticity estimation for each liver segment on larger groups of biopsied patients to utilize liver elasticity information for radiotherapy planning.

Cost-effectiveness of Universal and Targeted Hepatitis C Virus Screening in the United States

Importance

Between 2 and 3.5 million people live with chronic hepatitis C virus (HCV) infection in the US, most of whom (approximately 75%) are not aware of their disease. Despite the availability of effective HCV treatment in the early stages of infection, HCV will result in thousands of deaths in the next decade in the US.

Objective

To investigate the cost-effectiveness of universal screening for all US adults aged 18 years or older for HCV in the US and of targeted screening of people who inject drugs.

Design, Setting, and Participants

This simulated economic evaluation used cohort analyses in a Markov model to perform a 10 000-participant Monte Carlo microsimulation trail to evaluate the cost-effectiveness of HCV screening programs, and compared screening programs targeting people who inject drugs with universal screening of US adults age 18 years or older. Data were analyzed in December 2019.

Exposures

Cost per quality-adjusted life-year (QALY).

Main Outcomes and Measures

Cost per QALY gained.

Results

In a 10 000 Monte Carlo microsimulation trail that compared a baseline of individuals aged 40 years (men and women) and people who inject drugs in the US, screening and treatment for HCV were estimated to increase total costs by $10 457 per person and increase QALYs by 0.23 (approximately 3 months), providing an incremental cost-effectiveness ratio of $45 465 per QALY. Also, universal screening and treatment for HCV are estimated to increase total costs by $2845 per person and increase QALYs by 0.01, providing an incremental cost-effectiveness ratio of $291 277 per QALY.

Conclusions and Relevance

The findings of this study suggest that HCV screening for people who inject drugs may be a cost-effective intervention to combat HCV infection in the US, which could potentially decrease the risk of untreated HCV infection and liver-related mortality.

The Pre- and Postoperative FIB-4 Indexes Are Good Predictors to the Outcomes of HBV-Related HCC Patients after Resection

Background and Aim

Liver fibrosis is associated with the prognosis of patients with hepatocellular carcinoma (HCC) after resection. The fibrosis-4 (FIB-4) index is an accurate and noninvasive marker to determine the degree of liver fibrosis. Here, we evaluated the effect of pre- and postoperative FIB-4 index in predicting the outcomes after resection of HCC in patients who have chronic hepatitis B (CHB) infection.

Methods

A total of 534 CHB patients with HCC who received curative hepatectomy between 2001 and 2016 at Kaohsiung Chang Gung Memorial Hospital, Taiwan, were enrolled in this study. The impact of the FIB-4 index (preoperative and the 1^st year after operation) on overall survival (OS) and recurrence-free survival (RFS) was evaluated.

Results

There was a significant association between the preoperative FIB-4 index and Metavir fibrosis stage (p < 0.01). The multivariate analysis showed that preoperative FIB‐4 > 2 is an independent risk factor for RFS and OS after HCC curative resection [hazard ratio (HR), 1.902; 95% CI, 1.491–2.460; p < 0.001, and HR, 2.207; 95% CI, 1.420–3.429; p < 0.001, respectively]. Notably, preoperative FIB-4 is also an independent risk factor for RFS (HR, 1.219; p = 0.035) in noncirrhotic patients. Furthermore, patients had deteriorated FIB-4 1 year after operation [definition: the value (the 1^st year FIB‐4 after operation minus preoperative FIB‐4) > 1] and had an adverse outcome in RFS and OS (p < 0.001, both).

Conclusion

The pre and postoperative FIB-4 indexes are useful clinical markers to predict the prognosis in HBV-HCC patients after curative hepatectomy.

Predicting hepatocellular carcinoma recurrences: A data-driven multiclass classification method incorporating latent variables

Hepatocellular carcinoma (HCC), a malignant form of cancer, is frequently treated with surgical resections, which have relatively high recurrence rates. Effective recurrence predictions enable physicians' timely detections and adequate therapeutic measures that can greatly improve patient care and outcomes. Toward that end, predictions of early versus late HCC recurrences should be considered separately to reflect their distinct onset time horizons, clinical causes, underlying clinical etiology, and pathogenesis. We propose a novel Bayesian network-based method to predict different HCC recurrence outcomes by considering the respective recurrence evolution paths. Typical patient information obtained in early stages is insufficiently informative to predict recurrence outcomes accurately, due to the lack of subsequent patient progression information. Our method alleviates such information deficiency constraints by incorporating an independent latent variable, dominant recurrence type, to regulate recurrence outcome predictions (early, late, or no recurrence). We use a real-world HCC data set to evaluate the proposed method, relative to three prevalent benchmark techniques. Overall, the results show that our method consistently and significantly outperforms all the benchmark techniques in terms of accuracy, precision, recall, and F-measures. For increased robustness, we use another data set to perform an out-of-sample evaluation and obtain similar results. This study thus contributes to HCC recurrence research and offers several implications for clinical practice.

FIB-4 index serves as a noninvasive prognostic biomarker in patients with hepatocellular carcinoma: A meta-analysis

BACKGROUND

Liver fibrosis index FIB-4 has been reported to be linked with hepatocellular carcinoma (HCC) prognosis, but the results were not consistent. This study aimed to synthetically explore the relationship between FIB-4 and clinical outcomes of HCC.

METHODS

A number of online databases were searched for relevant articles published before March 1, 2018. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated to assess the prognostic value of the FIB-4 index in patients with HCC using Stata SE 12.0.

RESULTS

Eight articles (including 10 cohort studies) with 3485 HCC patients were finally included for analysis. The pooled results showed that FIB-4 index was significantly associated with overall survival (OS) for patients with HCC (HR = 1.74, 95% CI: 1.41-2.07, P <.001). And HCC patients with higher FIB-4 score were at significantly greater risk of recurrence 1.53 (95% CI: 1.29-1.78, P <.001). Subgroup analysis based on the treatment, stage and analysis type also confirmed the prognostic values of the FIB-4 score for OS and recurrence-free survival (RFS) in HCC.

CONCLUSIONS

FIB-4 index might be a useful predictive marker in patients with HCC.

Combined Preoperative ALBI and FIB-4 Is Associated with Recurrence of Hepatocellular Carcinoma After Curative Hepatectomy

BACKGROUND AND PURPOSE

Chronic inflammatory response is a risk factor for hepatocarcinogenesis and recurrence. This study aimed to develop a nomogram incorporating the combined albumin-bilirubin (ALBI) and fibrosis-4 (FIB-4) scores and the peritumoral inflammation score (PIS) to predict postoperative recurrence-free survival (RFS) of hepatocellular carcinoma (HCC).

METHODS

The prognostic roles of preoperative ALBI and FIB-4 scores for HCC recurrence were investigated, and a nomogram was developed. The predictive ability of the nomogram was compared with the American Joint Commission on Cancer (AJCC) and Barcelona Clinic Liver Cancer (BCLC) staging systems for HCC. Necroinflammatory activity in the peritumoral liver tissues was evaluated by hematoxylin and eosin (H&E) staining.

RESULTS

Combined ALBI and FIB-4 was associated with PIS in the training and validation cohorts (r = 0.342 and 0.473, both P < 0.001), and all of the scores exhibited predictive value for RFS of HCC. The independent predictive factors of RFS such as AFP, tumor number, tumor size, microvascular invasion, PIS, and combined ALBI and FIB-4 were included in the corresponding nomogram. In the training cohort, the C-index of the RFS nomogram was 0.722. ROC analyses showed that the RFS nomogram had a larger AUC (0.739) than the AJCC and BCLC staging systems. These results were verified by the validation cohort.

CONCLUSIONS

The proposed nomogram incorporating PIS and combined ALBI and FIB-4 was associated with recurrence for HCC following curative hepatectomy.

HBV-DNA Load-Related Peritumoral Inflammation and ALBI Scores Predict HBV Associated Hepatocellular Carcinoma Prognosis after Curative Resection

Background

Both persistent inflammatory activity and liver function damage contribute to a poor prognosis of hepatocellular carcinoma (HCC). This study aimed to develop nomograms that incorporate hepatitis virus B (HBV)-related peritumoral inflammation score (PIS) and liver function based on ALBI score to predict postoperative outcomes of HCC.

Methods

The prognostic roles of HBV-related preoperative PIS and ALBI scores in HCC recurrence were examined, and then two nomograms were constructed. The predictive accuracy and discriminative ability of the nomograms were compared with AJCC and BCLC staging systems of HCC.

Results

PIS (HBV-PIS) and ALBI scores (HBV-ALBI) with different HBV-DNA loads had association with overall survival (OS) and/or recurrence-free survival (RFS) of HCC. The independent predictors of OS and RFS were incorporated into the corresponding nomograms. In the training cohort, the C-indexes of OS and RFS nomograms were 0.751 and 0.736, respectively. ROC analyses showed that both OS and RFS nomograms had larger AUC (0.775 and 0.739, respectively) than AJCC and BCLC staging systems. These results were verified by the internal and external validation cohorts.

Conclusion

The proposed nomograms, including HBV-DNA load-related PIS and ALBI scores, were accurate in predicting survival for HCC after curative resection.

A new laboratory-based algorithm to predict microvascular invasion and survival in patients with hepatocellular carcinoma

BACKGROUND

Preoperative serum inflammatory markers have been correlated with survival outcomes after resection of hepatocellular carcinoma (HCC). Whether they can predict microvascular invasion (MVI) in HCC is still unknown. This study aimed to evaluate the association of inflammatory markers with MVI, and develop a simple and inexpensive preoperative prediction model for MVI.

METHODS

We developed a novel index using routine laboratory tests to predict MVI. The index was developed based on a study on patients with HCC, and validated in an internal cohort and another external cohort. The infiltration of CD8⁺ T cells in tumors was measured using immunohistochemistry. The prediction accuracy was evaluated with the area under the receiver operating characteristic curve (AUC).

RESULTS

There were 165 patients in the training cohort, 107 patients in the internal validation cohort and 80 patients in the external validation cohort. On multivariable analysis in the training cohort, alkaline phosphatase (ALP) and lymphocyte count were independent predictors of MVI. Thus, the ALP-to-lymphocyte ratio (ALR) was developed. The AUCs of the ALR for MVI were higher than the other conventional clinical indices. An optimal cutoff point for the ALR of 69.9 stratified HCC patients into the high (≥69.9) and low (<69.9) groups. An ALR ≥69.9 was significantly associated with worse overall and disease-free survival outcomes. The performance of ALR was validated in the internal and in external cohorts. The CD8⁺ T cell counts were significantly higher in HCC in the ALR<69.9 groups.

CONCLUSION

ALR was a simple, accurate and inexpensive alternative to predict MVI and an independent risk factor of prognosis for HCC patients. The dismal survival outcomes in patients with high ALR scores were related to decreased infiltrations of CD8⁺ T cells in tumors.

Fibrosis-4 Model Influences Results of Patients with Hepatocellular Carcinoma Undergoing Hepatectomy

Background

Several noninvasive models based on routine laboratory index have been developed to predict liver fibrosis. Our aim is to discuss whether these indexes could predict prognosis in patients with hepatocellular carcinoma undergoing hepatectomy.

Methods

This study retrospectively enrolled 788 consecutive hepatocellular carcinoma patients undergoing liver resection in the cohort. Univariate and multivariate analysis were used to identify the risk factors of complications, survival, and disease-free survival.

Results

Fibrosis-4 index had the best prediction ability for cirrhosis among other noninvasive models. Both the univariate and multivariate analyses showed that fibrosis-4 was independent risk factor for survival and disease-free survival. With the optimal cutoff value of 3.15, patients with fibrosis-4 ⩾3.15 had higher postoperative hepatic insufficiency (P=0.006) and worse survival than the fibrosis-4<3.15 group. The corresponding 1-year, 3-year, and 5-year overall survival were 80.9%, 56.3%, and 44.6% in the High fibrosis-4 group and were 86.5%, 69.9%, and 63.2% in the Low fibrosis-4 group, respectively (P<0.001). Worse disease-free survival was also observed in the fibrosis-4 ⩾3.15 group; the corresponding 1-year, 3-year, and 5-year disease-free survival were 74.9%, 45.3%, and 24.6% for the fibrosis-4 ⩾3.15 group and were 81.8%, 54.9%, and 34.4% for the fibrosis-4<3.15 group (P=0.009).

Conclusions

Fibrosis-4 is useful for assessing the short-term and long-term results for hepatocellular carcinoma patients with liver resection.

Comparison and validation of the prognostic value of preoperative systemic immune cells in hepatocellular carcinoma after curative hepatectomy

In this study, we aimed to compare and validate the prognostic abilities of preoperative systemic immune cells in hepatocellular carcinoma (HCC) after curative hepatectomy. We developed two nomograms to predict the postoperative recurrence‐free survival (RFS) and overall survival (OS) after comparisons of the systemic immune cell prognostic scores. The two nomograms were constructed based on 305 patients who underwent curative hepatectomy for HCC. The predictive accuracy and discriminative ability of the nomograms were compared with six commonly used staging systems for HCC. The results were validated using bootstrap resampling and an internal validation cohort of 142 patients and an external validation cohort of 169 patients. Necroinflammatory activity in peritumoral liver tissues in the primary cohort was evaluated by hematoxylin and eosin (H&E) staining. Neutrophil, monocyte, and lymphocyte ratio (NMLR) had a higher area under the receiver operating characteristic curves (AUROC) value at both RFS (AUC = 0.603) and OS (AUC = 0.726) compared to that of other systemic immune cell prognostic scores. The independent predictors of RFS or OS, including α‐fetoprotein (AFP), tumor size, tumor number, microvascular invasion, and NMLR, were incorporated into the two nomograms. In the primary cohort, the C‐indexes of the RFS and OS nomograms were 0.705 and 0.797, respectively. The ROC analyses showed that the two nomograms had larger AUC values (0.664 for RFS and 0.821 for OS) than those of the American Joint Commission on Cancer seventh edition, Barcelona Clinic Liver Cancer, Cancer of the Liver Italian Program, Japan Integrated Staging Score, Okuda stage, and the Vauthey's system. These results were verified by internal and external validations. The nomogram‐predicted probability of RFS was associated with peritumoral necroinflammatory activity scores (r = 0.304, P < 0.001). The proposed nomograms had accurate prognostic prediction in patients with HCC after curative hepatectomy.

Inflammation-nutrition scope predicts prognosis of early-stage hepatocellular carcinoma after curative resection

We developed a novel inflammation-nutrition scope (INS) based on systemic inflammatory response and nutritional status, and explored its prognostic value in hepatocellular carcinoma (HCC), especially for those with early-stage disease.The INS was developed based on a retrospective study of 185 patients with HCC undergoing hepatectomy between 2006 and 2007, and validated in a prospective study of 131 patients enrolled from 2009 to 2010. Prediction accuracy was evaluated with area under the receiver operating characteristic curve (AUCs).The INS was constructed as follows: patients with both an elevated red blood cell distribution width (RDW, ≥13.25%) and platelet-lymphocyte ratio (PLR, ≥1.1) were allocated a score of 2. Patients in whom only 1 or none of these biochemical abnormalities was present were allocated a score of 1 or 0, respectively. An elevated INS was associated with larger tumor size, tumor thrombus, and high tumor lymph nodes metastasis (TNM) stage. Univariate and multivariate analyses revealed the INS was an independent predictor for overall survival, and a prognostic factor for patients with TNM I stage. The AUCs of the INS for survival were higher than other conventional clinical indices.The INS is a promising predictor of poor outcome in patients with HCC, especially for those with early-stage disease, and is a promising tool for HCC treatment strategy decisions for future clinical trials targeting nutritional decline.