FIB-4 Index is a Predictor of Background Liver Fibrosis and Long-Term Outcomes After Curative Resection of Hepatocellular Carcinoma

Mac-2 binding protein glycosylation isomer as a novel predictor of early recurrence after resection for hepatocellular carcinoma

PURPOSE

Hepatocellular carcinoma (HCC) frequently recurs after radical resection, resulting in a poor prognosis. This study assessed the prognostic value of Mac-2 binding protein glycosylation isomer (M2BPGi) for early recurrence (ER) in patients with HCC.

METHODS

Patients who underwent radical resection for HCC between 2015 and 2021. HCC recurrence within one year after curative resection was defined as ER.

RESULTS

The 150 patients were divided into two groups: non-ER (116, 77.3%) and ER (34, 22.7%). The ER group had a lower overall survival rate (p < 0.0001) and significantly higher levels of M2BPGi (1.06 vs. 2.74 COI, p < 0.0001) than the non-ER group. High M2BPGi levels (odds ratio [OR] 1.78, 95% confidence interval [CI] 1.31-2.41, p < 0.0001) and a large tumor size (OR 1.31, 95% CI, 1.05-1.63; p = 0.0184) were identified as independent predictors of ER. M2BPGi was the best predictor of ER according to a receiver operating characteristic (ROC) analysis (area under the ROC curve 0.82, p < 0.0001).

CONCLUSIONS

M2BPGi can predict ER after surgery and is useful for risk stratification in patients with HCC.

Value of GPR, APPRI and FIB-4 in the early diagnosis of hepatocellular carcinoma: a prospective cohort study

OBJECTIVE

There is an urgent need for novel biomarkers that are inexpensive, effective and easily accessible to complement the early diagnosis of hepatocellular carcinoma. This study aimed to analyze the relationship between serum gamma-glutamate-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index, fibrosis index based on four factors and the risk of hepatocellular carcinoma, and to determine the optimal cut-offs for predicting hepatocellular carcinoma.

METHODS

Based on a prospective cohort study, 44 215 participants who were cancer-free at baseline (2011-13) were included in the study. Cox proportional hazard models and receiver operating characteristics curves were used to analyze the diagnostic value and optimal cut-off value of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors in predicting hepatocellular carcinoma patients.

RESULTS

Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors can be used as early independent predictors of hepatocellular carcinoma risk. The risk of hepatocellular carcinoma in the fourth quantile of gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index was 4.04 times (hazard ratio = 4.04, 95% confidence interval: 2.09, 7.80) and 2.59 times (hazard ratio = 2.59, 95% confidence interval: 1.45, 4.61), respectively, compared with the first quantile. With fibrosis index based on four factors first quantile as a reference, fibrosis index based on four factors fourth quantile had the highest risk (hazard ratio = 18.58, 95% confidence interval: 7.55, 45.72). Receiver operating characteristic results showed that fibrosis index based on four factors had a stronger ability to predict the risk of hepatocellular carcinoma (area under curve = 0.81, 95% confidence interval: 0.80, 0.81), and similar results were shown for gender stratification. In the total population, the optimal cut-off values of gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were 0.208, 0.629 and 1.942, respectively.

CONCLUSIONS

Gamma-glutamyl-transpeptidase to platelet ratio, alkaline phosphatase-to-platelet ratio index and fibrosis index based on four factors were independent predictors of hepatocellular carcinoma risk. Amongst them, fibrosis index based on four factors shows a stronger predictive ability for hepatocellular carcinoma risk, and gamma-glutamyl-transpeptidase to platelet ratio and alkaline phosphatase-to-platelet ratio index can be used as complementary indicators.

Impact of a new liver immune status index among patients with hepatocellular carcinoma after initial hepatectomy

Aim

The anti-tumor effects of natural killer (NK) cells vary among individuals. Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) expressed on liver NK cells is a marker of anti-tumor cytotoxicity against hepatocellular carcinoma (HCC) in immune cell therapy. This study aimed to develop a liver immune status index (LISI) that predicts low TRAIL expression and validates its ability to predict recurrence after initial hepatectomy for primary HCC.

Methods

A functional analysis of liver NK cells co-cultured with interleukin-2 for 3 days was performed of 40 liver transplant donors. The LISI, which predicted low TRAIL expression (25% quartile: <33%) in liver NK cells, was calculated using multiple logistic regression analysis. Next, 586 initial hepatectomy cases were analyzed based on the LISI.

Results

Our model was based on the Fibrosis-4 index+0.1 (odds ratio [OR], 1.33), body mass index (OR, 0.61), and albumin levels+0.1 (OR, 0.54). The area under the receiver operating characteristic curve (AUC) of the LISI for low TRAIL expression was 0.89. Stratification of the recurrence rates (RR) revealed that LISI was an independent predictive factor of RR (moderate risk: hazard ratio, 1.44; high risk: hazard ratio, 3.02). The AUC was similar for the LISI, albumin-indocyanine green evaluation grade, albumin-bilirubin score, and geriatric nutritional risk index for predicting RR. Among the vascular invasion cases, the LISI was more useful than the other indexes.

Conclusion

Our model facilitates the prediction of RR in high-risk patients by providing LISI to predict the anti-tumor effects of NK cells.

Preoperative aspartate aminotransferase to albumin ratio correlates with tumor characteristics and predicts outcome of hepatocellular carcinoma patients after curative hepatectomy: a multicenter study

Aims

This study aimed to evaluate the clinical significance of the preoperative aminotransferase to albumin ratio (AAR) in patients with hepatocellular carcinoma (HCC) after hepatectomy.

Methods

From five hospitals, a total of 991 patients with HCC admitted between December 2014 and December 2019 were included as the primary cohort and 883 patients with HCC admitted between December 2010 and December 2014 were included as the validation cohort. The X-tile software was conducted to identify the optimal cut-off value of AAR.

Results

In the primary cohort, the optimal cut-off value of the AAR was defined as 0.7 and 1.6, respectively. Compared to patients with AAR 0.7–1.6, those with AAR > 1.6 showed significantly worse overall survival (OS) and RFS, whereas those with AAR < 0.7 showed significantly better OS and RFS (all p < 0.001). Pathologically, patients with AAR > 1.6 had more aggressive tumour characteristics, such as larger tumour size, higher incidence of microvascular invasion, and severe histologic activity, and higher AFP level than patients with AAR < 0.7. Consistently, the abovementioned clinical significance of AAR was confirmed in the validation cohort.

Conclusions

A high AAR was significantly correlated with advanced tumours and severe hepatic inflammation, and a worse prognosis of HCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12893-022-01751-4.

Impact of aspartate aminotransferase-to-platelet ratio index based score to assess posthepatectomy liver failure in patients with hepatocellular carcninoma

BACKGROUND

Posthepatectomy liver failure (PHLF) is a life-threatening complication following hepatic resection. The aspartate aminotransferase-to-platelet ratio index (APRI) is a non-invasive model for assessing the liver functional reserve in patients with hepatocellular carcinoma (HCC). This study aimed to establish a scoring model to stratify patients with HCC at risk for PHLF.

METHODS

This single-center retrospective study included 451 patients who underwent hepatic resection for HCC between 2004 and 2017. Preoperative factors, including non-invasive liver fibrosis markers and intraoperative factors, were evaluated. The predictive impact for PHLF was evaluated using receiver operating characteristic (ROC) curves of these factors.

RESULTS

Of 451 patients, 30 (6.7%) developed severe PHLF (grade B/C). Multivariate logistic analysis indicated that APRI, model for end-stage liver disease (MELD) score, operating time, and intraoperative blood loss were significantly associated with severe PHLF. A scoring model (over 0-4 points) was calculated using these optimal cutoff values. The area under the ROC curve of the established score for severe PHLF was 0.88, which greatly improved the predictive accuracy compared with these factors alone (p < 0.05 for all).

CONCLUSIONS

The scoring model-based APRI, MELD score, operating time, and intraoperative blood loss can predict severe PHLF in patients with HCC.

A novel combined prognostic nutritional index and aspartate aminotransferase-to-platelet ratio index-based score can predict the survival of patients with hepatocellular carcinoma who undergo hepatic resection

PURPOSE

Inflammation-, nutrition-, and liver fibrosis-related markers are recognized as prognostic for hepatocellular carcinoma (HCC) patients. This study, therefore, assessed the preoperative prognostic utility of the combination of these markers in patients with HCC.

METHODS

This single-center retrospective study included patients who underwent hepatic resection for HCC between 2004 and 2017. A total of 454 patients were divided into training (n = 334) and validation (n = 120) cohorts by random sampling. The predictive impact on surgical outcomes was evaluated using receiver operating characteristic (ROC) curves of these prognostic values in the training cohort.

RESULTS

The prognostic nutritional index (PNI) and aspartate aminotransferase-to-platelet ratio index (APRI) were the strongest diagnostic values (areas under the ROC curves: 0.627 and 0.646, respectively). A scoring system (over 0-2 points) was developed using optimal cutoff values (for PNI < 46.5 scored as 1 point; for APRI > 0.98 scored as 1 point). An increased PNI-APRI score was an independent prognostic factor for both the overall and disease-free survival in HCC patients. Finally, the clinical feasibility of the PNI-APRI score was confirmed in the validation cohort.

CONCLUSIONS

The PNI-APRI score is a useful marker for predicting surgical outcomes of HCC patients.

Novel combined fibrosis-based index predicts the long-term outcomes of hepatocellular carcinoma after hepatic resection

AIM

Liver fibrosis influences liver regeneration and surgical outcomes. The fibrosis-4 (FIB-4) index is strongly associated with liver fibrosis and cirrhosis. This study aimed to examine the prognostic significance of the combination of FIB-4 index and Protein Induced by Vitamin K Absence or Antagonist-II (PIVKA-II) (PIVKA-II-FIB-4 index score) in patients who underwent curative resection for hepatocellular carcinoma (HCC).

METHODS

We included 284 patients who underwent elective hepatic resection for HCC between January 2000 and December 2018. We retrospectively investigated how FIB-4 index is related to disease-free survival and overall survival.

RESULTS

According to a receiver operating characteristic (ROC) analysis, the optimal cutoff value of the FIB-4 index was 3.44. In a multivariate analysis, high PIVKA-II and FIB-4 index values were independent predictors of both disease-free survival (P = 0.013 and P = 0.005, respectively) and overall survival (P = 0.048 and P < 0.001, respectively). We classified the PIVKA-II and FIB-4 index levels into two groups (high vs. low) and calculated a new score (PIVKA-II-FIB-4 index score; 0-2) by the sum of each measurement (high, 1; low, 0). The 5 year overall survival rates of patients with PIVKA-II-FIB-4 index scores of 0, 1, and 2 were 84.9, 74.4, and 47.1%, respectively (P < 0.001).

CONCLUSION

The combination of the preoperative PIVKA-II and FIB-4 index may be a prognostic factor of HCC after hepatic resection, suggesting that the combined score is useful in assessing the liver fibrosis status in cancer cases.

Mac-2-Binding Protein Glycosylation Isomer as a Novel Predictor of Hepatocellular Carcinoma Recurrence in Patients with Hepatitis C Virus Eradication

BACKGROUND

Hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) can recur even after achievement of a sustained virologic response (SVR). Mac-2-binding protein glycosylation isomer (M2BPGi) is a newly identified biomarker correlated with liver fibrosis. This study aimed to clarify outcomes for patients with an SVR and to assess the prognostic value of M2BPGi.

METHODS

This single-center retrospective study analyzed patients who underwent surgical resection for primary HCV-related HCC between 2008 and 2018. The study enrolled 81 patients whose M2BPGi could be evaluated after an SVR. The relationship between liver fibrosis-related factors and scores (including M2BPGi) and HCC recurrence, was evaluated.

RESULTS

Of the 81 patients, 57 (70.4%) with HCV-related HCC obtained an SVR, whereas 24 patients (29.6%) did not. The patients with an SVR had a significantly more favorable recurrence-free survival (RFS) than the patients with no SVR (P < 0.0001, log-rank). Among the SVR groups, M2BPGi predicted a shorter RFS after hepatic resection with a higher degree of accuracy than other markers and scores in the SVR group. The high-M2BPGi group had worse liver function, RFS, and overall survival (OS) (P = 0.0014 and 0.0006, log-rank, respectively). In the multivariate analysis, high M2BPGi was significantly associated with worse RFS and OS.

CONCLUSIONS

Even after achievement of an SVR, the risk of HCC recurrence cannot be eliminated. Measurement of M2BPGi after an SVR can be applied for risk stratification in the assessment of patients with HCV-related HCC.

Clinical usefulness of noninvasive fibrosis indices for predicting hepatocellular carcinoma in treatment-naïve patients with chronic hepatitis B following entecavir therapy

AIMS

This study aimed to evaluate the clinical usefulness of the aminotransferase to platelet ratio index (APRI), fibrosis-4 (FIB-4), and modified FIB-4 (mFIB-4) indices in predicting hepatocellular carcinoma (HCC) in patients receiving entecavir (ETV) treatment.

METHODS

Among 1955 patients treated with ETV, a total of 857 treatment-naive chronic hepatitis B patients (424 with liver cirrhosis [LC], 433 without cirrhosis) treated with ETV for more than 1 year were analyzed.

RESULTS

Of the 857 patients, 85 (9.9%) patients (77 in the LC group and 8 in the non-LC group) developed HCC during the follow-up period. The median observation period was 6.9 years. Multivariate regression analysis of HCC incidence revealed that the initial mFIB-4 index (hazard ratio [HR] 1.058; 95% confidence interval [CI], 1.007-1.112; p = 0.027) and improvement in the FIB-4 index after 1 year of ETV treatment (HR 0.531; 95% CI, 0.339-0.831; p = 0.006) were independent prognostic factors in the entire cohort. In the LC group, the improvement of the FIB-4 index following ETV treatment (HR 0.491; 95% CI, 0.280-0.861; p = 0.013) was negatively correlated with incidence of HCC. However, the area under the receiver operating characteristic curve of specific cut-off values of the FIB-4 index at baseline and 1 year after ETV treatment were 0.572 (95% CI, 0.504-0.640) and 0.615 (95% CI, 0.546-0.684), respectively. In the non-LC group, none of the invasive fibrosis indices could predict HCC incidence.

CONCLUSIONS

The specific cut-off value of the FIB-4 index was not suitable for predicting HCC. However, the improvement in the FIB-4 index after 1 year of ETV therapy could be a predictor of HCC development in cirrhotic patients.

The role of fibrosis index FIB-4 in predicting liver fibrosis stage and clinical prognosis: A diagnostic or screening tool?

This review evaluates the ability of the fibrosis index based on four factors (FIB-4) identifying fibrosis stages, long-time prognosis in chronic liver disease, and short-time outcomes in acute liver injury. FIB-4 was accurate in predicting the absence or presence of advanced fibrosis with cut-offs of 1.0 and 2.65 for viral hepatitis B, 1.45 and 3.25 for viral hepatitis C, 1.30 (<65 years), 2.0 (≥65 years), and 2.67 for non-alcoholic fatty liver disease (NAFLD), respectively, but had a low-to-moderate accuracy in alcoholic liver disease (ALD) and autoimmune hepatitis. It performed better in excluding fibrosis, so we built an algorithm for identifying advanced fibrosis by combined methods and giving work-up and follow-up suggestions. High FIB-4 in viral hepatitis, NAFLD, and ALD was associated with significantly high hepatocellular carcinoma incidence and mortality. Additionally, FIB-4 showed the ability to predict high-risk varices with cut-offs of 2.87 and 3.91 in cirrhosis patients and predict long-term survival in hepatocellular carcinoma patients after hepatectomy. In acute liver injury caused by COVID-19, FIB-4 had a predictive value for mechanical ventilation and 30-day mortality. Finally, FIB-4 may act as a screening tool in the secondary prevention of NAFLD in the high-risk population.

Clinicopathologic Features of Patients With Primary Hepatocellular Carcinoma Surviving Without Recurrence More Than 10 Years After Primary Hepatic Resection

Objective: 

The aim of this study was to clarify the predictive factors of recurrence-free time more than 10 years after primary hepatic resection for hepatocellular carcinoma (HCC).

Summary of background data: 

Surgical resection is a curative treatment for HCC patients with hepatic functional reserve; however, the high recurrence rate must be addressed.

Methods: 

The study included 595 patients who had undergone curative resection for HCC. Multivariate analysis was performed to identify factors associated with recurrence-free survival at more than 10 years.

Results: 

Multivariate analysis revealed that tumor size ≤2 cm (P = 0.004), albumin-bilirubin (ALBI) grade 1 (P = 0.03), Fibrosis-4 (FIB-4) index ≤3.3 (P = 0.002), and histologic inflammation grade ≤1 (P = 0.03) were independent predictive factors for recurrence-free survival for more than 10 years. Predictive points were scored as follows: 2 points, tumor size ≤2 cm or FIB-4 index ≤3.3; and 1 point, ALBI grade 1 or histologic inflammation grade ≤1. Patients were divided into 3 groups according to their total points: group 1, 0 to 2 points (n = 317); group 2, 3 to 4 points (n = 239); and group 3, 5 to 6 points (n = 39). Recurrence-free survival rates among the 3 groups were significantly different (P &lt; 0.0001).

Conclusions: 

Tumor size, ALBI, FIB-4 index, and histologic inflammation grade were independent predictive factors for recurrence-free survival longer than 10 years after curative hepatic resection for HCC.

Metavir Fibrosis Stage in Hepatitis C-Related Hepatocellular Carcinoma and Association with Noninvasive Liver Reserve Models

BACKGROUND

Hepatitis C virus (HCV) infection is the major etiology for cirrhosis and hepatocellular carcinoma (HCC). The severity of liver fibrosis is a crucial factor in prognostic prediction. We aimed to evaluate the prognostic role of Metavir fibrosis stage in HCV-related HCC and its association with noninvasive liver reserve models.

METHODS

Between 2004 and 2016, 172 patients with HCV-related HCC undergoing surgical resection were enrolled. Multivariate Cox proportional hazards model was used to identify prognostic predictors. The area under receiver operating curve (AUROC) was used for comparison in predicting cirrhosis among different noninvasive liver reserve models.

RESULTS

In the multivariate Cox analysis, AST > 45 IU/mL, multiple tumors, tumor size greater than 3 cm, and serum AFP > 20 ng/mL were independent risk factors linked with tumor recurrence. There was no significant association between Metavir fibrosis stage/ inflammatory activity and tumor recurrence. In the Cox model, Child-Turcotte-Pugh class B, tumor size greater than 3 cm, and Metavir fibrosis stage F3-F4 were independent predictors associated with decreased survival (all p < 0.001). In subgroup analysis, survival differences were consistently observed between patients with fibrosis stage F0-F2 and F3-F4 (p < 0.05) in either small (≤ 3 cm) or large (> 3 cm) HCC group. Among the noninvasive models, FIB-4 had the highest predictive accuracy (AUROC = 0.768, p < 0.001) to indicate cirrhosis compared to other models.

CONCLUSIONS

Metavir fibrosis stage can predict survival in HCV-related HCC patients independent of tumor size. FIB-4 is the best noninvasive model to predict cirrhosis in these patients.

Fibrosis-4 Index, a Noninvasive Fibrosis Marker, Predicts Survival Outcomes After Hepatectomy for Colorectal Cancer Liver Metastases

BACKGROUND

Liver fibrosis influences liver regeneration and surgical outcomes, and several noninvasive models based on laboratory data have been developed to predict liver fibrosis. This study was performed to determine whether the Fibrosis-4 (FIB-4) index, a noninvasive fibrosis marker, can predict the prognosis in patients with colorectal liver metastases (CRLM) undergoing hepatectomy.

METHODS

This retrospective study involved 193 consecutive patients with CRLM who underwent hepatectomy. The FIB-4 index was calculated by laboratory data and age before hepatectomy and before preoperative chemotherapy. The FIB-4 cut-off was determined using survival classification and regression tree analysis. Patients were divided into two groups (high and low FIB-4 index), and post-hepatectomy overall survival (OS) and recurrence-free survival (RFS) were investigated.

RESULTS

In total, 193 patients were evaluated. Chemotherapy before hepatectomy was performed in 105 (54.4%) patients. A high FIB-4 index (> 2.736) was found in 39 (20.2%) patients. OS was significantly shorter in patients with a high FIB-4 index than those with a low FIB-4 index in the univariate (45.9 vs. 74.4 months, log-rank p = 0.007) and multivariate analysis (hazard ratio 2.28, 95% confidence interval 1.39-3.74; p = 0.001). Among patients who received chemotherapy before hepatectomy, those with a high FIB-4 index had significantly shorter RFS (6.9 vs. 45.3 months, log-rank p = 0.047) and OS (23.9 vs. 55.0 months, log-rank p = 0.003) than those with a low FIB-4 index. This association was also confirmed by multivariate analysis (hazard ratio 4.28, 95% confidence interval 1.46-12.6; p = 0.008).

CONCLUSION

Both the preoperative and prechemotherapy FIB-4 index can predict long-term outcomes after hepatectomy in patients with CRLM.

Comparison of FIB-4 Index and Child-Pugh Score in Predicting the Outcome of Hepatic Resection for Hepatocellular Carcinoma

BACKGROUND AND AIMS

The Child-Pugh (CP) score is a widely used method to assess liver function and predict postoperative outcomes in patients with hepatocellular carcinoma (HCC). Recently, the fibrosis index (FIB-4) has been demonstrated to be closely associated with liver fibrosis and cirrhosis. This study aimed to compare the capability of FIB-4 index with CP score in predicting the outcomes for HCC patients after hepatectomy.

METHODS

A total of 495 HCC patients who underwent hepatectomy were enrolled. The performance of the FIB-4 index in predicting postoperative liver failure (PHLF) and overall survival was compared with that of the CP score.

RESULTS

Of them, 9.3% (46/495) patients developed PHLF. The area under the receiver operating characteristic (ROC) curve of the FIB-4 index for predicting PHLF was greater than that of the CP score (0.744 versus 0.621; P = 0.044). The optimal cutoff value of the FIB-4 index for predicting PHLF was 4.16. Multivariable analyses revealed that the FIB-4 index was an independent predictor of PHLF regardless of the hepatectomy subgroups, but the CP grade was only a significant predictor of PHLF in the minor hepatectomy subgroup. The FIB-4 index (4.16) stratified patients into two distinct overall survival cohorts (P = 0.006). The FIB-4 index also classified patients with the Barcelona Clinical Liver Cancer (BCLC) stages 0 and A into two distinct overall survival cohorts (P = 0.001 and P = 0.034, respectively).

CONCLUSION

The FIB-4 index may be a better predictor of PHLF and overall survival in HCC patients with hepatectomy than CP score.

Predictive validation of qualitative fibrosis staging in patients with chronic hepatitis B on antiviral therapy

The fibrosis in chronic hepatitis shows dynamic changes during antiviral therapy (AVT). We investigated whether P-I-R (progressive vs. indeterminate vs. regressive) staging is predictive of hepatocellular carcinoma (HCC) recurrence in patients with chronic hepatitis B (CHB) taking AVT who underwent resection. Patients with CHB-related HCC who underwent curative resection between 2004 and 2017 and had received ≥2 years AVT at the time of resection were eligible. Two pathologists performed P-I-R staging. In total, 104 patients with CHB-related HCC were enrolled. The mean age of the study population was 56.3 years. The mean duration of AVT at the time of resection was 62.6 months. During the follow-up period (mean, 45.5 months), 20 (19.2%) and 14 (13.5%) patients developed early and late recurrence of HCC, respectively. The cumulative incidence of late recurrence was significantly lower in patients with regressive patterns than in those with indeterminate and progressive patterns according to P-I-R staging (P = 0.015, log-rank test), although the cumulative incidence of overall recurrence according to P-I-R staging was similar. Hepatitis B virus DNA levels (hazard ratio [HR] = 3.200, P = 0.020) and the regressive P-I-R staging pattern (HR = 0.127, P = 0.047) independently predicted the risk of late recurrence. One-time assessment of the P-I-R staging at the time of curative resection in patients with CHB-related HCC receiving AVT independently predicted late HCC recurrence. Therefore, qualitative fibrosis assessment by P-I-R staging might be useful in predicting the outcomes of patients with CHB undergoing AVT.

A Novel Score Predicts HBV-Related Hepatocellular Carcinoma Recurrence After Hepatectomy: a Retrospective Multicenter Study

BACKGROUND

In China, hepatitis B virus (HBV) is an important causative factor of hepatocellular carcinoma (HCC). The contribution and interaction of fibrosis-4 (FIB-4) score and total tumor volume (TTV) in association with HCC recurrence is unknown. A reliable point score based on the FIB-4 score, TTV, and differentiation grade was established to predict the postoperative recurrence of HBV-related HCC patients who underwent hepatic resection (HR).

METHODS

Three hundred thirty-eight HBV-related HCC patients from three institutions treated by HR were enrolled in this retrospective study. Prognostic factors were also evaluated by univariate and multivariate analysis using Cox's proportional hazards model in the training cohort. The DFT score was established by a Cox regression model and validated in the internal cohort and the external cohorts from the other two institutions.

RESULTS

The DFT score differentiated four groups of HBV-related HCC patients (0, 1-2, 3, 4-5 points) with distinct prognosis (median recurrence-free survival (RFS), 72.7 vs. 53.0 vs. 23.2 vs. 5.7 months; P < 0.05). Its predictive accuracy as determined by the area under the receiver operating characteristic curve (AUC) at 1, 3, and 5 years (AUCs 0.7319, 0.7031, and 0.6972) was greater than the other three staging systems for HCC. These findings were supported by the validation cohorts.

CONCLUSIONS

The DFT model is a reliable and objective model to predict the RFS of HBV-related HCC patients after HR.

ALBI/ST ratio versus FIB-4 and APRI as a predictor of posthepatectomy liver failure in hepatocellular carcinoma patients

A precise and noninvasive method to predict posthepatectomy liver failure (PHLF) in clinical practice is still lacking. Liver fibrosis or cirrhosis accompanied with varying degrees of portal hypertension plays an important role in the occurrence of PHLF in hepatocellular carcinoma (HCC) patients. This study aims to compare the predictive ability of the albumin-bilirubin score to spleen thickness ratio (ALBI/ST) versus fibrosis-4 index (FIB-4) and aspartate aminotransferase to platelet count ratio index (ARPI) for the occurrence of PHLF. We retrospectively enrolled 932 patients who underwent liver resection for HCC between 2010 and 2017. The predictive accuracy of ALBI/ST ratio, FIB-4, and APRI for occurrence of PHLF was evaluated by receiver operating characteristic curve analysis. PHLF was diagnosed in 69 (7.4%) patients. The ALBI/ST ratio was found to be a significant predictor of PHLF. The AUC of ALBI/ST (AUC = 0.774; 95% CI, 0.731-0.817; P <.001) was larger than that of FIB-4 (AUC = 0.696; 95% CI, 0.634-0.759; P <.001) and APRI (AUC = 0.697; 95% CI, 0.629-0.764; P <.001). Multivariate analysis demonstrated that ALBI/ST ratio was a strong risk factor of PHLF in all hepatectomy subgroups. In conclusion, the ALBI/ST ratio has a superior predictive ability for PHLF compared with APRI and FIB-4.

Utility of FIB4-T as a Prognostic Factor for Hepatocellular Carcinoma

Background: Most integrated scores for predicting the prognosis of patients with hepatocellular carcinoma (HCC) comprise tumor progression factors and liver function variables. The FIB4 index is an indicator of hepatic fibrosis calculated on the basis of age, aspartate aminotransferase (AST) levels, alanine aminotransferase (ALT) levels, and platelet count, but it does not include variables directly related to liver function. We propose a new staging system, referred to as “FIB4-T,” comprising the FIB4 index as well as tumor progression factors, and examine its usefulness. Method: Subjects included 3800 cases of HCC registered in multiple research centers. We defined grades 1, 2, and 3 as a Fibrosis-4 (FIB4) index of <3.25, 3.26–6.70, and >6.70 as FIB4, respectively, and calculated the FIB4-T in the same manner in which the JIS (Japan Integrated Staging Score) scores and albumin-bilirubin tumor node metastasis (ALBI-T) were calculated. We compared the prognostic prediction ability of FIB4-T with that of the JIS score and ALBI-T. Results: Mean observation period was 37 months. The 5-year survival rates (%) of JIS score (0/1/2/3/4/5), ALBI-T (0/1/2/3/4/5) and FIB4-T (0/1/2/3/4/5) were 74/60/36/16/0, 82/66/45/22/5/0 and 88/75/65/58/32/10, respectively. Comparisons of the Akaike information criteria among JIS scores, ALBI-T, and FIB4-T indicated that stratification using the FIB4-T system was comparable to those using ALBI-T and JIS score. The risk of mortality significantly increased (1.3–2.8 times/step) with an increase in FIB4-T, and clear stratification was possible regardless of the treatment. Conclusions: FIB4-T is useful in predicting the prognosis of patients with HCC from a new perspective.

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.

Dynamic noninvasive markers predict hepatocellular carcinoma in chronic hepatitis C patients without sustained virological response after interferon-based therapy: Prioritize who needs urgent direct-acting antiviral agents

Some patients with hepatitis C virus (HCV) infections who fail to achieve sustained virological responses (SVRs) after interferon (IFN) therapy do not develop hepatocellular carcinoma (HCC). Risk stratification of these patients may help identify those who would benefit most from treatment with direct-acting antivirals (DAAs).A total of 552 HCV-infected patients with non-SVR status were enrolled. Laboratory data before and after IFN treatment were analyzed to determine the relationship of changes in serum markers with development of HCC during the 7-year study period.HCC developed in 93 patients. The risk factors for HCC were pre-existing liver cirrhosis, low hemoglobin level at baseline, low pretreatment platelet count, high post-treatment alpha-fetoprotein (AFP) level (≥15 ng/mL), and high post-treatment Fibrosis 4 (FIB4) index (>3.25). For patients without pre-existing cirrhosis, those with high post-treatment AFP level and FIB4 index had the highest risk of HCC (1 year: 6.7%; 3 years: 10.9%; 5 years: 29.7%), followed by those with high post-treatment AFP level and low post-treatment FIB4 index (5 years: 25%), and those with low post-treatment AFP level and high post-treatment FIB4 index (1 year: 3.7%; 3 years: 5.2%; 5 years: 10.6%). The risk was even lower for patients with low post-treatment AFP level and FIB4 index (1 year: 0%; 3 years: 0.4%; 5 years: 2.5%). None of the patients with FIB4 indexes consistently below 1.45 developed HCC.The combined use of post-treatment AFP level and FIB4 index was useful for risk stratification of HCV-infected patients with non-SVR status after IFN therapy. These data may help clinicians to identify patients who most urgently need DAA treatment.

Effects of sodium-glucose cotransporter 2 inhibitors on urinary excretion of intact and total angiotensinogen in patients with type 2 diabetes

We conducted a descriptive case study to examine the effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors on urinary angiotensinogen excretion, which represents the function of the intrarenal renin–angiotensin system, in patients with type 2 diabetes. An SGLT2 inhibitor (canagliflozin 100 mg/day, ipragliflozin 25 mg/day, dapagliflozin 5 mg/day, luseogliflozin 2.5 mg/day or tofogliflozin 20 mg/day) was administered for 1 month (n=9). ELISA kits were used to measure both urinary intact and total angiotensinogen levels. Treatment with SGLT2 inhibitors significantly decreased hemoglobin A1c, body weight, systolic blood pressure and diastolic blood pressure (8.5±1.3 to 7.5%±1.0%, 82.5±20.2 to 80.6±20.9 kg, 143±8 to 128±14 mm Hg, 78±10 to 67±9 mm Hg, p<0.05, respectively), while urinary albumin/creatinine ratio was not significantly changed (58.6±58.9 to 29.2±60.7 mg/g, p=0.16). Both total urinary angiotensinogen/creatinine ratio and intact urinary angiotensinogen/creatinine ratio tended to decrease after administration of SGLT2 inhibitors. However, these changes were not significant (p=0.19 and p=0.08, respectively). These data suggest that treatment with SGLT2 inhibitors does not activate the intrarenal renin–angiotensin system in patients with type 2 diabetes.