Combined preoperative albumin-bilirubin (ALBI) and serum γ-glutamyl transpeptidase (GGT) predicts the outcome of hepatocellular carcinoma patients following hepatic resection

Preoperative ALBI grade predicts mortality in patients undergoing curative surgery for pancreatic head cancer

The clinical significance of the albumin-bilirubin (ALBI) grade in patients with pancreatic head cancer (PHC) undergoing surgery is unknown. Preoperative ALBI grade is believed to be influenced by tumor burden. This study aimed to develop and validate the ALBI grade as a preoperative prognostic model for predicting the survival of patients with PHC. This is a retrospective study of Whipple procedures performed on PHC patients between January 2013 and December 2022. ALBI grade was compared to age, gender, type of operation, presence of complications, type of complications, Clavien-Dindo classification, total bilirubin levels, and albumin levels. Of the series, 46 (41.1%) of the 112 patients were female, while 66 (58.9%) were male. The rate of complications following Whipple procedures was 36.6% (n = 41). The overall mortality hazard ratio increased significantly with increasing ALBI grades (HR: 1538, hazard ratio mean: -1602). Hospital mortality increased 2.84 times as the ALBI grade increased. The model's accuracy of 88.4% showed that the ALBI grade directly affected both the overall mortality rate and the hospital rate. But there was no statistically significant difference between the ALBI grade and other variables. Multivariate regression analysis identified the preoperative ALBI grade as an independent predictor of mortality (P = .006). To the best of our knowledge, this is the first study to identify preoperative ALBI grade as an independent predictor of survival in PHC. It was found that the ALBI grade of -1602 was a new grading system that would be more predictive of mortality in PHC.

Diagnostic and Prognostic Nomograms for Hepatocellular Carcinoma Based on PIVKA-II and Serum Biomarkers

BACKGROUND

The aim of the present study was to develop an improved diagnostic and prognostic model for HBV-associated HCC by combining AFP with PIVKA-II and other potential serum/plasma protein biomarkers.

METHODS

A total of 578 patients, including 352 patients with HBV-related HCC, 102 patients with HBV-associated liver cirrhosis (LC), 124 patients with chronic HBV, and 127 healthy subjects (HS), were enrolled in the study. The serum levels of AFP, PIVKA-II, and other laboratory parameters were collected. Univariate and multivariate logistic regression and Cox regression analyses were performed to identify independent diagnostic and prognostic factors, respectively. The diagnostic efficacy of the nomogram was evaluated using receiver operator curve (ROC) analysis and the prognostic performance was measured by Harrell's concordance index (C-index).

RESULTS

AFP and PIVKA-II levels were significantly increased in HBV-related HCC, compared with those in HBV-associated LC and chronic HBV participants (p < 0.05 and p < 0.001, respectively). The diagnostic nomogram, which included age, gender, AFP, PIVKA-II, prothrombin time (PT), and total protein (TP), discriminated patients with HBV-HCC from those with HBV-LC or chronic HBV with an AUC of 0.970. In addition, based on the univariate and multivariate Cox regression analysis, PIVKA-II, γ-glutamyl transpeptidase, and albumin were found to be significantly associated with the prognosis of HBV-related HCC and were incorporated into a nomogram. The C-index of the nomogram for predicting 3-year survival in the training and validation groups was 0.75 and 0.78, respectively. The calibration curves for the probability of 3-year OS showed good agreement between the nomogram prediction and the actual observation in the training and the validation groups. Furthermore, the nomogram had a higher C-index (0.74) than that of the Child-Pugh grade (0.62), the albumin-bilirubin (ALBI) score (0.64), and Barcelona Clinic Liver Cancer (0.56) in all follow-up cases.

CONCLUSION

Our study suggests that the nomograms based on AFP, PIVKA-II, and potential serum protein biomarkers showed a better performance in the diagnosis and prognosis of HCC, which may help to guide therapeutic strategies and assess the prognosis of HCC.

Novel Nomograms Based on Gamma-Glutamyl Transpeptidase-to-Lymphocyte Ratio Predict Prognosis of Hepatocellular Carcinoma Patients After Hepatectomy

Background

The prediction of prognosis of hepatocellular carcinoma (HCC) is of great significance in improving disease outcome and optimizing clinical management, while reliable prognostic indicators are lacking. This study was conducted to develop readily-to-use nomograms for prognosis prediction of HCC after hepatectomy.

Materials and Methods

Data of eligible patients were collected and analyzed retrospectively. Independent prognostic factors were identified by Cox regression, and nomograms for the prediction of disease-free survival (DFS) and overall survival (OS) were developed. The performance of the nomograms was evaluated by receiver operating characteristics (ROC) curves, C-indexes and calibration curves and was verified by the validation cohort. The predictive value of the nomograms was also compared with the 8th edition of American Joint Committee on Cancer (AJCC) Tumor-Node-Metastasis (TNM) and the Barcelona Clinic Liver Cancer (BCLC) staging systems.

Results

In total, 599 patients were enrolled in the analysis: 420 in the training cohort and 179 in the validation cohort. The optimal cut-off value of Gamma-Glutamyl Transpeptidase-to-Lymphocyte Ratio (GLR) was 19.5. GLR contributed significantly to the nomograms with good predictive power. In ROC analyses, the areas under curve (AUCs) of the nomograms for 1-, 3- and 5-year DFS and OS prediction were 0.758, 0.756, 0.734 and 0.810, 0.799, 0.758, respectively. The C-indexes of the DFS nomogram were 0.697 (95% CI 0.665-0.729) in the training cohort and 0.710 (95% CI 0.664-0.756) in the validation cohort. For OS prediction, the C-indexes were 0.741 (95% CI 0.704-0.778) and 0.758 (95% CI 0.705-0.811) in the training and validation cohorts, respectively. The calibration curves demonstrated satisfactory agreement between nomogram predictions and actual observations. The nomograms demonstrated superior predictive performance to the TNM and the BCLC staging systems.

Conclusion

Our novel nomograms showed adequate performance in the prediction of HCC prognosis after hepatectomy, which may facilitate the risk stratification and individualized management of HCC patients.

Prognostic Significance of Serum Albumin Level and Albumin-Based Mono- and Combination Biomarkers in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer. Although many surgical and nonsurgical therapeutic options have been established for treating HCC, the overall prognosis for HCC patients receiving different treatment modalities remains inadequate, which causes HCC to remain among the most life-threatening human cancers worldwide. Therefore, it is vitally important and urgently needed to develop valuable and independent prognostic biomarkers for the early prediction of poor prognosis in HCC patients, allowing more time for more timely and appropriate treatment to improve the survival of patients. As the most abundant protein in plasma, human serum albumin (ALB) is predominantly expressed by the liver and exhibits a wide variety of essential biological functions. It has been well recognized that serum ALB level is a significant independent biomarker for a broad spectrum of human diseases including cancer. Moreover, ALB has been commonly used as a potent biomaterial and therapeutic agent in clinical settings for the treatment of various human diseases. This review provides a comprehensive summary of the evidence from the up-to-date published literature to underscore the prognostic significance of serum ALB level and various ALB-based mono- and combination biomarkers in the prediction of the prognosis of HCC patients after treatment with different surgical, locoregional, and systemic therapies.

The AGH score is a predictor of disease-free survival and targeted therapy efficacy after liver transplantation in patients with hepatocellular carcinoma

BACKGROUND

Liver transplantation (LT) is the "cure" therapy for patients with hepatocellular carcinoma (HCC). However, some patients encounter HCC recurrence after LT. Unfortunately, there is no effective methods to identify the LT patients who have high risk of HCC recurrence and would benefit from adjuvant targeted therapy. The present study aimed to establish a scoring system to predict HCC recurrence of HCC patients after LT among the Chinese population, and to evaluate whether these patients are suitable for adjuvant targeted therapy.

METHODS

Clinical data of HCC patients who underwent LT from March 2015 to June 2019 were retrospectively collected and analyzed.

RESULTS

A total of 201 patients were included in the study. The multivariate Cox analysis suggested that preoperative alpha fetoprotein (AFP) > 200 µg/L (HR = 2.666, 95% CI: 1.515-4.690; P = 0.001), glutamyl transferase (GGT) > 96 U/L (HR = 1.807, 95% CI: 1.012-3.224; P = 0.045), and exceeding the Hangzhou criteria (HR = 2.129, 95% CI: 1.158-3.914; P = 0.015) were independent risk factors for poor disease-free survival (DFS) in patients with HCC who underwent LT. We established an AFP-GGT-Hangzhou (AGH) scoring system based on these factors, and divided cases into high-, moderate-, and low-risk groups. The differences in overall survival (OS) and disease-free survival (DFS) rates among the three groups were significant (P < 0.05). The efficacy of the AGH scoring system to predict DFS was better than that of the Hangzhou criteria, UCSF criteria, Milan criteria, and TNM stage. Only in the high-risk group, we found that lenvatinib significantly improved prognosis compared with that of the control group (P < 0.05).

CONCLUSIONS

The AGH scoring system provides a convenient and effective way to predict HCC recurrence after LT in HCC patients in China. Patients with a high-risk AGH score may benefit from lenvatinib adjuvant therapy after LT.

Use of GP73 in the diagnosis of non-alcoholic steatohepatitis and the staging of hepatic fibrosis

Objective

To evaluate the utility of Golgi protein 73 (GP73) in the diagnosis of non-alcoholic steatohepatitis (NASH) and hepatic fibrosis (HF) staging.

Methods

Ninety-one patients with non-alcoholic fatty liver disease (NAFLD) were allocated to NAFL (n = 46) and NASH (n = 45) groups according to their NAFLD activity score (NAS), and there were 30 healthy controls. Serum GP73 was measured by ELISA, GP73 protein expression was evaluated using immunohistochemistry, and FibroScan was used to determine liver hardness.

Results

The serum GP73 concentrations of the NAFL and NASH groups were significantly higher than those of controls. GP73 expression in the liver of the patients gradually progressed from absent or low to moderate or high. Serum GP73 positively correlated with liver expression, and the serum and liver GP73 of the patients positively correlated with FibroScan value and HF stage. There was a strong positive correlation of the combination of alanine aminotransferase, gamma glutamyl transferase and GP73 with NASH. The combination of serum GP73 and FibroScan value was found to predict NASH (NAS > 4) and advanced HF (stage ≥2) in patients with NAFLD using receiver operating characteristic analysis.

Conclusion

Serum GP73 may be useful in the diagnosis of NASH and the staging of HF.

Prognostic Value of Serum Osteoprotegerin Level in Patients With Hepatocellular Carcinoma Following Surgical Resection

Background

Multiple studies have reported that tissue or serum osteoprotegerin (OPG) level is a prognostic factor for patients with cancer. However, little is known about the role of serum OPG in hepatocellular carcinoma (HCC). In this study, we aimed to investigate whether serum OPG concentration has an effect on HCC patients’ prognosis.

Methods

A total of 386 eligible HCC patients undergoing radical hepatectomy were enrolled from Shanghai Ninth People’s Hospital and Zhongshan Hospital between 2010 and 2018. Kaplan-Meier curves, Cox regression model, and the restricted mean survival time (RMST) were used to estimate the association of OPG and HCC patients’ survival outcome. In addition, sensitivity analyses were carried out including subgroup analysis and propensity score matching (PSM).

Results

Patients were separated into two groups according to the cut-off value of OPG calculated by X-tile. Multivariate Cox analysis showed that patients with high OPG level had worse overall survival (OS) (HR: 1.93; 95% CI: 1.40–2.66, p<0.001) and disease-free survival (DFS) (HR: 1.85; 95% CI: 1.39–2.47, p<0.001) before matching. On average, RMST ratio between high and low OPG turned out to be 0.797 (95% CI: 0.716–0.887, p<0.001). In the matched population, we found that OPG level was negatively associated with OS (HR: 1.85; 95% CI: 1.25–2.74, p=0.002) and DFS (HR: 1.71; 95% CI: 1.20–2.44, p=0.003). In addition, a similar trend was further confirmed by subgroup analyses.

Conclusion

In a word, HCC patients with high OPG level had poorer survival rates compared with HCC patients with low OPG level. This factor could act as a potential prognostic predictor for HCC patients who underwent radical resection in the future.

Two-Trait Predictor of Venous Invasion on Contrast-Enhanced CT as a Preoperative Predictor of Outcomes for Early-Stage Hepatocellular Carcinoma After Hepatectomy

Objectives

This study aimed to assess the effectiveness of the two-trait predictor of venous invasion (TTPVI) on contrast-enhanced computed tomography (CECT) for the preoperative prediction of clinical outcomes in patients with early-stage hepatocellular carcinoma (HCC) after hepatectomy.

Methods

This retrospective study included 280 patients with surgically resected HCC who underwent preoperative CECT between 2012 and 2013. CT imaging features of HCC were assessed, and univariate and multivariate Cox regression analyses were used to evaluate the CT features associated with disease-free survival (DFS) and overall survival (OS). Subgroup analyses were used to summarized the hazard ratios (HRs) between patients in whom TTPVI was present and those in whom TTPVI was absent using a forest plot.

Results

Capsule appearance [HR, 0.504; 95% confidence interval (CI), 0.341–0.745; p < 0.001], TTPVI (HR, 1.842; 95% CI, 1.319–2.572; p < 0.001) and high level of alanine aminotransferase (HR, 1.620; 95% CI, 1.180–2.225, p = 0.003) were independent risk factors for DFS, and TTPVI (HR, 2.509; 95% CI, 1.518–4.147; p < 0.001), high level of alpha-fetoprotein (HR, 1.722; 95% CI, 1.067–2.788; p = 0.026), and gamma-glutamyl transpeptidase (HR, 1.787; 95% CI, 1.134–2.814; p = 0.026) were independent risk factors for OS. A forest plot revealed that the TTPVI present group had lower DFS and OS rates in most subgroups. Patients in whom TTPVI was present in stages I and II had a lower DFS and OS than those in whom TTPVI was absent. Moreover, there were significant differences in DFS (p < 0.001) and OS (p < 0.001) between patients classified as Barcelona Clinic Liver Cancer stage A in whom TTPVI was absent and in whom TTPVI was present.

Conclusions

TTPVI may be used as a preoperative biomarker for predicting postoperative outcomes for patients with early-stage HCC.

Predictive value of preoperative C-reactive protein/serum albumin ratio and gamma-glutamyl transpeptidase for early recurrence in patients with hepatocellular carcinoma after resection

BACKGROUND

In recent years, some studies have reported that increased C-reactive protein/serum albumin ratio (CRP/Alb) and gamma-glutamyl transpeptidase (GGT) predict a poor prognosis in hepatocellular carcinoma (HCC) after treatment; however, there are few studies on their predictive value for the prognosis after HCC resection.

AIM

To evaluate the predictive value of preoperative CRP/Alb and GGT for early recurrence in patients with HCC after resection.

METHODS

A retrospective analysis was performed on the clinical data of 80 initially treated patients who were pathologically confirmed as having hepatocellular carcinoma after radical resection at our hospital from January 1, 2016 to January 20, 2019 and then followed for the prognosis. The patients were divided into either an early recurrence group or a non-early recurrence group based on the presence of recurrence in 2 years or not. The χ² test was used for univariate analysis, and Cox proportional hazards model was used for multivariate analysis. The tumor-free survival curves of independent risk factors were plotted using the Kaplan-Meier method, and log-rank method was used to compare their difference.

RESULTS

The best cut-off values of CRP/Alb and GGT were 0.041 and 75.5 U/L, respectively, according to the results of ROC curve analysis. The recurrence-free survival rates within 1 and 2 years were 70% and 56.25%, respectively, in this group of patients. Univariate analysis showed that microvascular invasion (MVI), CRP/Alb, and GGT were risk factors for early recurrence in patients with hepatocellular carcinoma after resection. Multivariate analysis showed that MVI and GGT were independent risk factors for early recurrence in patients with hepatocellular carcinoma after resection. The tumor-free survival time of HCC patients with MVI was significantly shorter than that of patients without (P ＜ 0.001). The tumor-free survival time in the GGT > 75.5 U/L group was significantly shorter than that of the GGT ≤ 75.5 U/L group (P = 0.001).

CONCLUSION

CRP/Alb, GGT, and MVI have potential predictive value for early tumor recurrence in patients with hepatocellular carcinoma after resection.

Establishment, validation and evaluation of predictive model for early relapse after R0 resection in hepatocellular carcinoma patients with microvascular invasion

Backgrounds

This is the first study to build and evaluate a predictive model for early relapse after R0 resection in hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI).

Methods

The consecutive HCC patients with MVI who underwent hepatectomy in Cancer Hospital of Chinese Academy of Medical Science from Jan 2014 to June 2019 were retrospectively enrolled and randomly allocated into a derivation (N = 286) and validation cohort (N = 120) in a ratio of 7:3. Cox regression and Logistic regression analyses were performed and a predictive model for postoperative early-relapse were developed.

Results

A total of 406 HCC patients with MVI were included in our work. Preoperative blood alpha-fetoprotein (AFP) level, hepatitis B e antigen (HBeAg) status, MVI classification, largest tumor diameter, the status of serosal invasion, number of tumors, and the status of satellite nodules were incorporated to construct a model. The concordance index (C-index) was 0.737 and 0.736 in the derivation and validation cohort, respectively. The calibration curves showed a good agreement between actual observation and nomogram prediction. The C-index of the nomogram was obviously higher than those of the two traditional HCC staging systems.

Conclusion

We have developed and validated a prediction model for postoperative early-relapse in HCC patient with MVI after R0 resection.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-021-02940-0.

Development and validation of a prognostic model based on the albumin-to-fibrinogen ratio (AFR) and gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in hepatocellular carcinoma patients

BACKGROUND

Our study aimed to formulate a nomogram based on the albumin-to-fibrinogen ratio (AFR) and gamma-glutamyl transpeptidase-to-platelet ratio (GPR) to predict the prognosis of hepatocellular carcinoma (HCC) patients after curative hepatic resection.

METHODS

A total of 825 HCC patients who underwent curative resection from 2008 to 2015 in West China Hospital of Sichuan University were divided into a training (n = 616) and a validation (n = 209) cohort. The AFR-GPR risk stratification was generated and confirmed by multivariate analysis. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were constructed. The concordance indexes (C-index), calibration, and decision curve analysis (DCA) were used to assess the predictive performance and clinical benefits of the nomograms.

RESULTS

The AFR-GPR risk stratification was the independent prognostic factor for RFS (p = 0.044) and OS (p = 0.002) in the training cohort and integrated into the construction of nomograms. The C-indexes of RFS and OS in the training and validation cohorts were 0.654 (95%CI: 0.626-0.681)/0.699 (95%CI: 0.654-0.743) and 0.699 (95%CI: 0.668-0.729)/0.736 (95%CI: 0.684-0.787), respectively. Furthermore, the C-indexes of the nomograms were greater than those of other conventional staging systems.

CONCLUSION

Our nomograms based on the AFR-GPR risk stratification presented the more reliable, convenient and accurate prognostic predictions for HCC patients.

Indocyanine green and its nanosynthetic particles for the diagnosis and treatment of hepatocellular carcinoma

Indocyanine green (ICG) is an amphiphilic dye, which has been used as a diagnostic agent for decades. It is becoming increasingly utilized for the diagnosis and treatment of several diseases. Primary liver cancer is a common malignancy, particularly in China. We review the published literature describing how ICG plays increasingly important roles in the diagnosis, surgical planning and treatment of hepatocellular carcinoma.

[Prediction model of mid-term fatality risk after radical resection in patients with hepatocellular carcinoma based on ALBI-grade]

OBJECTIVE

To establish a clinical prediction model of the mid-term fatality risk after radical resection in patients with primary hepatocellular carcinoma (HCC) based on the albumin-bilirubin (ALBI) grade and to assess its prediction value.

METHODS

Clinical data of 533 patients who received HCC radical resection in Jinhua Hospital of Zhejiang University, Jinhua People's Hospital, Jinhua Hospital of Traditional Chinese Medicine and Jinhua Guangfu Hospital from January 2010 to August 2016 were retrospectively reviewed. In the training group ( n=407), Cox model was used to screen the clinical risk factors of postoperative death, and a predictive model based on ALBI grade was established and then examined in the validation group ( n=126). The value of the prediction model was assessed by ROC curve and calibration curve; the prediction results of the model were visualized by the nomogram for the convenience of clinical use.

RESULTS

Cox model showed that ALT ≥ 80 U/L, tumor maximum diameter ≥ 5 cm, portal vein tumor thrombus and ALBI grade 2 were independent risk factors for the prognosis of patients with HCC radical resection. The prognosis index (PI) was 0.550×ALT+0.512×ALBI grade+0.872×maximum tumor diameter+1.377×portal vein tumor thrombus. The AUCs for predicting the risk of death in 12, 36 and 60 months were 0.872, 0.814 and 0.810, respectively (all P &lt; 0.01), and the goodness of fit ( r ²) of the established model were 0.953, 0.976 and 0.994. AUC of the established model for predicting risk of death in 36 months after resection was 0.814, which was higher than those of ALBI (AUC=0.683), BCLC (AUC=0.713), CLIP (AUC=0.689), Child-Pugh (AUC=0.645), TNM (AUC=0.612) ( P &lt; 0.05 or P &lt; 0.01).

CONCLUSIONS

ALT ≥ 80 U/L, maximum tumor diameter ≥ 5 cm, portal vein tumor thrombus and ALBI grade 2 are independent risk factors of patients after HCC resection, and ALBI grade-based prediction model is satisfactory in prediction of mid-term death risk of the patients.

Gamma glutamyl transpeptidase as a prognostic biomarker in hepatocellular cancer patients especially with >5 cm tumors, treated by liver transplantation

Background

Serum AFP levels are typically elevated in less than 50% of hepatocellular cancer (HCC) patients. Gamma-glutamyl transpeptidase (GGT) levels have been suggested to be a potentially useful HCC biomarker.

Aims

To assess in a cohort of prospectively evaluated HCC patients who underwent liver transplant and whose survival was known; the occurrence, prognosis, and clinical characteristics of patients with elevated serum GGT levels.

Results

Serum GGT levels were found to be elevated in a higher proportion in patients with either small or large HCC than alpha-fetoprotein (AFP) levels, and were significantly related to prognosis in patients with large size HCCs. There was no clear correlation between GGT and AFP levels, likely reflecting different HCC characteristics or HCC cell lineages associated with these two markers. Furthermore, elevated GGT was found in 24% of low-AFP patients with small tumors and 46% with large tumors. Elevated GGT levels were also significantly associated with microvascular invasion and tumor diameter.

Conclusions

Elevated serum GGT levels were associated with HCC size and worse survival, and were unrelated to AFP levels. GGT may be a useful prognostic tumor marker, especially for low-AFP HCC patients.