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

The fibrosis-4 index is a prognostic factor for cholangiocarcinoma patients who received immunotherapy

Background

Research of immunotherapy for cholangiocarcinoma has yielded some results, but more clinical data are needed to prove its efficacy and safety. Moreover, there is a need to identify accessible indexes for selecting patients who may benefit from such treatments.

Methods

The medical records of 66 cholangiocarcinoma patients who underwent immunotherapy were retrospectively collected. The effectiveness of immunotherapy was assessed by tumor response, progression-free survival (PFS), and overall survival (OS), while safety was evaluated by adverse events during treatment. Univariate and multivariate Cox regression analyses were performed to identify prognostic risk factors for PFS and OS, and Kaplan-Meier curves of potential prognostic factors were drawn.

Results

Overall, in this study, immunotherapy achieved an objective response rate of 24.2% and a disease control rate of 89.4% for the included patients. The median PFS was 445 days, and the median OS was 772.5 days. Of the 66 patients, 65 experienced adverse events during treatment, but none had severe consequences. Multivariate Cox analysis indicated that tumor number is a prognostic risk factor for disease progression following immunotherapy in cholangiocarcinoma patients, while tumor differentiation and the fibrosis-4 (FIB-4) index are independent risk factors for OS.

Conclusion

In general, immunotherapy for cholangiocarcinoma is safe, with adverse events remaining within manageable limits, and it can effectively control disease progression in most patients. The FIB-4 index may reflect the potential benefit of immunotherapy for patients with cholangiocarcinoma.

Red cell distribution width/platelet ratio estimates the 3-year risk of decompensation in Metabolic Dysfunction-Associated Steatotic Liver Disease-induced cirrhosis

BACKGROUND

For compensated advanced chronic liver disease (cACLD) patients, the first decompensation represents a dramatically worsening prognostic event. Based on the first decompensation event (DE), the transition to decompensated advanced chronic liver disease (dACLD) can occur through two modalities referred to as acute decompensation (AD) and non-AD (NAD), respectively. Clinically Significant Portal Hypertension (CSPH) is considered the strongest predictor of decompensation in these patients. However, due to its invasiveness and costs, CSPH is almost never evaluated in clinical practice. Therefore, recognizing non-invasively predicting tools still have more appeal across healthcare systems. The red cell distribution width to platelet ratio (RPR) has been reported to be an indicator of hepatic fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). However, its predictive role for the decompensation has never been explored.

AIM

In this observational study, we investigated the clinical usage of RPR in predicting DEs in MASLD-related cACLD patients.

METHODS

Fourty controls and 150 MASLD-cACLD patients were consecutively enrolled and followed up (FUP) semiannually for 3 years. At baseline, biochemical, clinical, and Liver Stiffness Measurement (LSM), Child-Pugh (CP), Model for End-Stage Liver Disease (MELD), aspartate aminotransferase/platelet count ratio index (APRI), Fibrosis-4 (FIB-4), Albumin-Bilirubin (ALBI), ALBI-FIB-4, and RPR were collected. During FUP, DEs (timing and modaities) were recorded. CSPH was assessed at the baseline and on DE occurrence according to the available Clinical Practice Guidelines.

RESULTS

Of 150 MASLD-related cACLD patients, 43 (28.6%) progressed to dACLD at a median time of 28.9 months (29 NAD and 14 AD). Baseline RPR values were significantly higher in cACLD in comparison to controls, as well as MELD, CP, APRI, FIB-4, ALBI, ALBI-FIB-4, and LSM in dACLD-progressing compared to cACLD individuals [all P < 0.0001, except for FIB-4 (P: 0.007) and ALBI (P: 0.011)]. Receiving operator curve analysis revealed RPR > 0.472 and > 0.894 as the best cut-offs in the prediction respectively of 3-year first DE, as well as its superiority compared to the other non-invasive tools examined. RPR (P: 0.02) and the presence of baseline-CSPH (P: 0.04) were significantly and independently associated with the DE. Patients presenting baseline-CSPH and RPR > 0.472 showed higher risk of decompensation (P: 0.0023).

CONCLUSION

Altogether these findings suggest the RPR as a valid and potentially applicable non-invasive tool in the prediction of timing and modalities of decompensation in MASLD-related cACLD patients.

Evaluation of Multiple Liver Cancer Scoring Systems

Liver cancer is one of the most common malignant tumors in the world, and its incidence and mortality are increasing year by year. The prognosis of liver cancer depends on the stage of liver cancer, the treatment method, the liver function, and individual differences. The prognosis of liver cancer mainly worsens with the progression of the stage. The prediction and staging system of liver cancer prognosis plays a very important role in the outcome of liver cancer prognosis, providing some guidance for clinical practice and bringing benefits for patients. This article reports on the prediction models and staging systems that have been applied in the field of liver cancer in the past 5 years, objectively analyzes the advantages and disadvantages, applicable population of each model and staging system, and searches for other patient and clinical characteristics that need to be considered for successfully establishing a prediction model, aiming to improve the specificity, sensitivity, and accuracy of liver cancer prediction and increase the overall survival rate of liver cancer.

Modified integrated tumor burden, liver function, systemic inflammation, and tumor biology score to predict long-term outcomes after resection for hepatocellular carcinoma

BACKGROUND

A preoperative predictive score for hepatocellular carcinoma (HCC) can help stratify patients who undergo resection relative to long-term outcomes and tailor treatment strategies.

METHODS

Patients who underwent curative-intent hepatectomy for HCC between 2000 and 2020 were identified from an international multi-institutional database. A risk score (mFIBA) was developed using an Eastern cohort and then validated using a Western cohort.

RESULTS

Among 957 patients, 443 and 514 patients were included from the Eastern and Western cohorts, respectively. On multivariable analysis, alpha-feto protein (HR1.97, 95%CI 1.42-2.72), neutrophil-to-lymphocyte ratio (HR1.74, 95%CI 1.28-2.38), albumin-bilirubin grade (HR1.66, 95%CI 1.21-2.28), and imaging tumor burden score (HR1.25, 95%CI 1.12-1.40) were associated with OS. The c-index in the Eastern test and Western validation cohorts were 0.69 and 0.67, respectively. Notably, mFIBA score outperformed previous HCC staging systems. 5-year OS incrementally decreased with an increase in mFIBA. On multivariable Cox regression analysis, the mFIBA score was associated with worse OS (HR1.18, 95%CI 1.13-1.23) and higher risk of recurrence (HR1.16, 95%CI 1.11-1.20). An easy-to-use calculator of the mFIBA score was made available online (https://yutaka-endo.shinyapps.io/mFIBA_score/).

DISCUSSION

The online mFIBA calculator may help surgeons with clinical decision-making to individualize perioperative treatment strategies for patients undergoing resection of HCC.

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.

Application of albumin-bilirubin grade and platelet count to indocyanine green-based criteria for hepatectomy: Predicting impaired liver function and postoperative outcomes of hepatocellular carcinoma

BACKGROUND

Applicability of the albumin-bilirubin (ALBI) grade in preoperative decision-making criteria based on the indocyanine green retention (ICG) test remains unclear. This study aimed to predict abnormal ICG values using standard blood tests and evaluate the impact on postoperative outcomes among patients undergoing hepatectomy for hepatocellular carcinoma (HCC).

METHODS

Data on 949 consecutive HCC patients undergoing curative-intent hepatectomy between 1996 and 2014 were retrospectively assessed. A nomogram using preoperative standard blood tests was created to predict abnormal ICGR15 (>15%).

RESULTS

Three-hundred nine patients had abnormal ICGR15. Predictors of abnormal ICGR15 included in the nomogram were: ALBI grade >1 (hazard ratio [HR]: 2.16, 95% confidence interval [CI]: 1.59-2.94), platelet count <130 000/mm³ (HR: 2.27, 95% CI: 1.68-3.08), aspartate aminotransferase >50 (IU/L) (HR: 1.90, 95% CI: 1.29-2.81), and viral hepatitis infection (HR: 1.46, 95% CI: 1.03-2.07). The nomogram named the PLT-ALBI score was discriminative [C-statistics: 0.719 (0.684-0.754)], and reliable (Hosmer-Lemeshow Chi-Square: 9.05, p = 0.338). The higher PLT-ALBI score was associated with a more frequent incidence of clinically relevant posthepatectomy liver failure and poor overall survival.

CONCLUSIONS

The PLT-ALBI score is applicable in distinguishing HCC patients with abnormal ICGR15. Patients with higher PLT-ALBI score require more careful postoperative care, despite following the ICG criteria.

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.

Assessment of Prognostic Value of Aspartate Aminotransferase-to-Platelet Ratio Index in Patients With Hepatocellular Carcinoma: Meta-Analysis of 28 Cohort Studies

Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally; it is valuable to predict its prognosis after treatment. Aspartate aminotransferase-to-platelet index (APRI), a non-invasive biomarker consists of two routine test parameters easily available in all the patients. Our study aimed to investigate whether APRI can serve as an independent prognostic marker in the patients with HCC.

Methods: We extensively searched PubMed, Embase, and Web of Science databases on June 20, 2021 to determine all relevant literature. The studies that explored the association between the APRI levels and prognosis of patients with HCC and reported risk estimate data were included. The Newcastle-Ottawa Scale was used to assess the quality of the included studies.

Results: A total of 1,097 articles were initially identified, of which 28 studies involving 11,041 patients met the eligibility criteria for the meta-analysis. The pooled hazard ratios (HRs) for overall survival (OS) and disease-free survival (DFS) were 1.77 (95% CI: 1.53–2.05, P < 0.001) and 1.59 (95% CI: 1.47–1.71, P < 0.001), respectively, suggesting a significant correlation between the increased APRI levels and poor prognosis in the patients with HCC. In the subgroup analyses, statistical significance of the correlation disappeared in the Korean and Japanese population and in the patients undergoing transarterial chemoembolization (TACE). Of note, the current results may be overestimated due to publication bias, but the conclusion remained unchanged when the bias was adjusted.

Conclusion: High APRI levels are associated with poor OS and DFS in the patients with HCC. In most cases, pretreatment APRI can be used as an independent prognostic factor, but it is necessary to incorporate other predictive prognostic systems to ensure accuracy. Further studies are needed to determine the specific beneficiary population and the optimal cutoff value.

Development and Validation of Artificial Neural Networks for Survival Prediction Model for Patients with Spontaneous Hepatocellular Carcinoma Rupture After Transcatheter Arterial Embolization

Background

Spontaneous rupture bleeding is a fatal hepatocellular carcinoma (HCC) complication and a significant determinant of survival outcomes. This study aimed to develop and validate a novel artificial neural network (ANN)-based survival prediction model for patients with spontaneous HCC rupture after transcatheter arterial embolization (TAE).

Methods

Patients with spontaneous HCC rupture bleeding who underwent TAE at our hospital between January 2010 and December 2018 were included in our study. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to screen clinical variables related to prognosis. We incorporated the above clinical variables identified by LASSO Cox regression into the ANNs model. Multilayer perceptron ANNs were used to develop the 1-year overall survival (OS) prediction model for patients with spontaneous HCC ruptured bleeding in the training set. The area under the receiver operating characteristic curve and decision curve analysis were used to compare the predictive capability of the ANNs model with that of existing conventional prediction models.

Results

The median survival time for the whole set was 11.8 months, and the 1-year OS rate was 47.5%. LASSO Cox regression revealed that sex, extrahepatic metastasis, macroscopic vascular invasion, tumor number, hepatitis B surface antigen, hepatitis B e antigen, tumor size, alpha-fetoprotein, fibrinogen, direct bilirubin, red blood cell, and γ-glutamyltransferase were risk factors for OS. An ANNs model with 12 input nodes, seven hidden nodes, and two corresponding prognostic outcomes was constructed. In the training set and the validation set, AUCs for the ability of the ANNs model to predict the 1-year OS of patients with spontaneous HCC rupture bleeding were 0.923 (95% CI, 0.890–0.956) and 0.930 (95% CI, 0.875–0.985), respectively, which were higher than that of the existing conventional models (all P < 0.0001).

Conclusion

The ANNs model that we established has better survival prediction performance.

Systematic review and meta-analysis of validated prognostic models for resected hepatocellular carcinoma patients

BACKGROUND

Many prognostic models for Hepatocellular Carcinoma (HCC) have been developed to inform patients and doctors about individual prognosis. Previous reviews of these models were qualitative and did not assess performance at external validation. We assessed the performance of prognostic models for HCC and set a benchmark for biomarker studies.

METHODS

All externally validated models predicting survival for patients with resected HCC were systematically reviewed. After selection, we extracted descriptive statistics and aggregated c-indices using meta-analysis.

RESULTS

Thirty-eight validated prognostic models were included. Models used on average 7 (IQR:4-9) prognostic factors. Tumor size, tumor number, and vascular invasion were almost always included. Alpha-fetoprotein (AFP) was commonly incorporated since 2007. Recently, the more subjective items ascites and encephalopathy have been dropped. Eight established models performed poor to moderate at external validation, with a pooled C-index below 0.7; including the Barcelona Clinic Liver Cancer (BCLC) system, the American Joint Committee on Cancer (AJCC) 7th edition, the Cancer of the Liver Italian (CLIP) Program, and the Japan Integrated Staging (JIS) score. Out of 24 prognostic models predicting OS, only 6 (25%) had good performance at external validation with pooled C-indices above 0.7; the Li-post (0.77), Li-OS (0.74), Yang-pre (0.74), Yang-post (0.76), Shanghai-score (0.70), and Wang-nomogram (0.71). Models improved over time, but overall performance and study quality remained low.

CONCLUSIONS

Six validated prognostic models demonstrated good performance for predicting survival after resection of HCC. These models can guide patients and doctors and are a benchmark for future models incorporating novel biomarkers.

Prediction of Patient Survival Following Hepatic Resection in Early-Stage Hepatocellular Carcinoma with Indexed Ratios of Aspartate Aminotransferase to Platelets: A Retrospective Cohort Study

Purpose

To predict patient survival in early-stage hepatocellular carcinoma (HCC) following hepatic resection. We evaluated the prognostic potential of the aspartate aminotransferase to platelet ratio index (APRI) in order to use it to model a nomogram.

Patients and Methods

We randomized 901 early-stage HCC patients treated with hepatic resection at our center into training and validation cohorts that were followed from January 2009 to December 2012. X-tile software was used to establish the APRI cut-off threshold in the training cohort. The validation cohort was subsequently assessed to determine threshold value accuracy. Data generated from the multivariate analysis in the training cohort were used to design a prognostic nomogram. Decision curve analyses (DCA), concordance index values (C-index) and calibration curves were used to determine the performance of the nomogram.

Results

X-tile software revealed that the optimal APRI cut-off threshold in the training cohort that distinguished between patients with different prognoses was 0.9. We, therefore, validated its prognostic value. Multivariate analyses showed that poor overall survival was associated with APRI above 0.9, blood loss of more than 400 mL, liver cirrhosis, multiple tumors, tumor size greater than 5 cm, microvascular invasion and satellite lesions. When the independent risk factors were integrated into the prognostic nomogram, it performed well with accurate predictions. Indeed, the performance was better than comparative prognosticators (P<0.05 for all) with 0.752 as the C-index (95% CI: 0.706–0.798). These results were verified by the validation cohort.

Conclusion

APRI was a noninvasive and accurate predictive indicator for patients with early-stage HCC. Following hepatic resection to treat early-stage HCC, individualized patient survival predictions can be aided by the nomogram based on APRI.

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.

A competing risk nomogram for predicting cancer-specific death of patients with buccal mucosa cancer

OBJECTIVES

Our aim was to develop and validate a competing risk nomogram to determine the probability of cancer-specific death in buccal mucosa cancer (BMC) patients.

MATERIALS AND METHODS

We examined the records of BMC patients in the Surveillance, Epidemiology, and End Results (SEER) Program and First Affiliated Hospital of Nanchang University (China). We adopted the cumulative incidence function and Fine-Gray proportional hazards model based on univariate and multivariate analyses by R-software to identify the risk factors associated with cancer-specific death. Subsequently, a nomogram was developed and validated to predict the 3- and 5-year probability of cancer-specific death.

RESULTS

In 1,286 BMC patients identified from SEER database, cumulative incidences of cancer-specific death after diagnosis were 33.4% and 35.5% for 3 and 5 years, respectively. In the training cohort (n = 902) from SEER database, the Fine-Gray model indicated that age, Tumor Node Metastasis (TNM) stages, grade, surgery, and histological type were independent risk factors associated with cancer-specific death, based on which a prognostic nomogram was developed. In the internal validation cohort from SEER database (n = 384) and the external validation cohort from our medical center (n = 174), the nomogram was well calibrated and showed remarkable prediction performance.

CONCLUSION

The nomogram created herein may prove to be a good assistant tool for assessing the prognosis of BMC patients.

Comparison of transcatheter arterial chemoembolization with raltitrexed plus liposomal doxorubicin vs. tegafur plus pirarubicin for unresectable hepatocellular carcinoma

Background

There is still no general consensus on the optimal chemotherapeutic agent selection for transcatheter arterial chemoembolization (TACE) in unresectable hepatocellular carcinoma (HCC). The present study aimed to compare the efficacy and safety of TACE with raltitrexed plus liposomal doxorubicin (R + PGLD) vs. tegafur plus pirarubicin (T + P) in patients with unresectable HCC.

Methods

A total of 148 patients with unresectable HCC treated with TACE between January 2012 and December 2016 were retrospectively analyzed. Of them, 74 patients were in the R + PGLD group and 74 patients were in the T + P group (1:1). The treatment response of the tumor, overall survival (OS) time, and adverse effects were compared between the two groups.

Results

There were no significant differences in patient characteristics or embolization effect (lipiodol deposition) between the two groups (P>0.05). R + PGLD treatment had a better clinical efficacy than T + P treatment (OR: 64.9% vs. 45.9%, P=0.031; DC: 89.2% vs. 74.3%, P=0.032). Portal vein invasion, hepatic vein invasion, tumor size and BCLC stage were associated with OR or DC after TACE using R + PGLD treatment. Survival analysis revealed that patients who received TACE with R + PGLD had a better prognosis than those treated with T + P. Moreover, some complications in the R + PGLD group, including vomiting, myelosuppression and cardiotoxicity, were significantly lower than those in the T + P group (P<0.05).

Conclusions

TACE with raltitrexed and liposomal doxorubicin could reduce the incidence of adverse reactions and significantly improve the OS of patients with unresectable HCC.

Prognostic role of preoperative albumin-bilirubin grade on patients with hepatocellular carcinoma after surgical resection: a systematic review and meta-analysis

Recent studies have reported albumin-bilirubin (ALBI) grade affected the prognosis of patients with hepatocellular carcinoma (HCC). To more precisely evaluate the relationship among the ALBI grade and the prognosis of patients with HCC after liver resection. We systematically retrieved articles from PubMed, Web of Science, Cochrane Library, and CNKI. The prognostic value of ALBI grade on overall survival (OS) and recurrence-free survival (RFS) of patients with HCC after liver resection was evaluated by pooled hazard ratio (HR) with 95% confidence interval (CI).Through multiple databases search, we enrolled 20 high-quality studies with 11365 patients, regarding the association between the ALBI grade and the prognosis of patients with HCC after liver resection. Our results showed that higher ALBI grade is associated with poored OS (HR, 1.64; 95% CI: 1.51-1.78; P < 0.001; I = 24.9%) and RFS (HR, 1.42; 95% CI: 1.26-1.59; P < 0.001; I = 0). Moreover, subgroup analysis showed the significant correlation between ALBI grade and poor long-term survival was not altered in different geographical areas, sample sizes, follow-up duration, and quality scores. The ALBI grade may be as effective predictive biomarkers for prognosis in patients with HCC after liver resection.

The combination of the preoperative albumin-bilirubin grade and the fibrosis-4 index predicts the prognosis of patients with hepatocellular carcinoma after liver resection

There is little information regarding the use of a combination of the albumin-bilirubin (ALBI) grade and the fibrosis-4 index (FIB-4) in predicting hepatocellular carcinoma (HCC) patient outcomes after liver resection. In this study, we aimed to analyze the predictive ability of a combination of the ALBI grade and the FIB-4 score (ALBI-FIB-4) for HCC patients within the Milan criteria after liver resection. The data of HCC patients within the Milan criteria who underwent liver resection between 2011 and 2019 at our center were reviewed (n = 544). Patients with an FIB-4 index > 3.25 were considered to have a high FIB-4 index and were given a score of 1, whereas patients with an FIB-4 index ≤ 3.25 were considered to have a low FIB-4 index and were given a score of 0. The ALBI-FIB-4 score was a summary score that combined the ALBI grade and the score based on the FIB-4 index. During the follow-up period, 279 patients experienced recurrence, and 175 patients died. Multivariate analysis showed that tumor size, the presence of multiple tumors, the presence of microvascular invasion and the ALBI-FIB-4 score were four independent risk factors for both postoperative recurrence-free survival (RFS) and overall survival (OS). The 5-year RFS of patients with high ALBI-FIB-4 scores of 1, 2, and 3 were 55.0%, 44.2% and 35.3%, respectively (p = 0.004). The 5-year OS rates of patients with high ALBI-FIB-4 scores of 1, 2, and 3 were 72.9%, 66.4% and 54.8%, respectively (p = 0.011). The ALBI-FIB-4 score may be a surrogate marker for predicting the prognosis of patients with HCC after liver resection. A high ALBI-FIB-4 score was associated with a high incidence of postoperative recurrence and mortality.

An imbalance between stellate cells and γδT cells contributes to hepatocellular carcinoma aggressiveness and recurrence

PURPOSE

The diagnostic potential of hepatic stellate cells (HSCs) and γδT cells for patients with hepatocellular carcinoma (HCC) and their synergistic contributions to the prognosis of these patients have not yet been investigated. The aim of this study was to elucidate the prognostic value of these cells in HCC.

METHODS

The prognostic significance of the ratio of HSCs to γδT cells (SGR) was assessed in a total of 339 HCC patients undergoing resection. The correlation between the circulating tumor cell (CTC) level and SGR in 71 HCC patients was determined using the CellSearch system. In vitro experiments were performed to validate the synergistic effects of HSCs and γδT cells on hepatoma cells.

RESULTS

Peritumoral SGR was closely associated with overall survival (OS) and recurrence-free survival (RFS) of HCC patients after resection. In the testing cohort, two nomograms incorporating the SGR were constructed for the prediction of OS and RFS. The predictive accuracy of the two nomograms was verified by the validation cohort. CTC levels were positively correlated with SGR (r = 0.479, p < 0.001). Among the patients with CTCs > 2/7.5 ml, those with a high SGR exhibited higher early recurrence rates than those with a low SGR. In vitro experiments revealed that the secretion of INF-γ, IL-17, and TNF-α from γδT cells was increased after culture with HSC-conditioned medium. In addition, γδT cells cultured with HSC-conditioned medium decreased the proliferative and invasive abilities of hepatoma cells.

CONCLUSIONS

The peritumoral SGR is related to aggressive tumor behavior and has a powerful predictive value in HCC. Early recurrence in patients with a high peritumoral SGR might be associated with high CTC levels.

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.

Prognostic value of pretreatment albumin to bilirubin ratio in patients with hepatocellular cancer: A meta-analysis

BACKGROUND

Hepatic function is closely associated with prognosis in patients with hepatocellular cancer (HCC). In this study, a meta-analysis of the published studies was performed to assess the prognostic value of ALBI grade in HCC patients.

METHODS

Databases, including PubMed, EMbase, Web of Science, and Cochrane Library were retrieved up to August 2018. The primary outcome was OS and secondary outcome was DFS, the prognostic impact of which was assessed by using hazard ratio (HRs) with corresponding 95% confidence intervals (CIs). The enrolled studies were analyzed by using STATA version 12.0 software.

RESULTS

A total of 22,911 patients with HCC in 32 studies were included. Our results demonstrated that high pretreatment ALBI is associated with poor OS (HR = 1.719, 95%CI: 1.666-1.771, P = .000, univariate results; HR = 1.602, 95%CI: 1.470-1.735, P = .000, multivariate results) and poor DFS (HR = 1.411, 95%CI: 1.262-1.561, P = .000, univariate results; HR = 1.264, 95%CI: 1.042-1.485, P = .000, multivariate results). Meanwhile, when the analysis was stratified into subgroups, such as treatment methods, sample size, geographic area, and ALBI grade, the significant correlation in ALBI and poor long-term survival was not altered.

CONCLUSION

High pretreatment ALBI is closely associated with poor prognosis in HCC, and High ALBI should be treated as an ideal predictor during hepatocellular therapy.

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.