Impact of Geriatric Nutritional Risk Index After Initial Hepatectomy for Hepatocellular Carcinoma: a Retrospective Cohort Study with the Hiroshima Surgical Study Group of Clinical Oncology (HiSCO)

Incorporating ALBI Grade with Geriatric Nutritional Risk Index Enhances Hepatocellular Carcinoma Risk Stratification

Introduction

Despite its prognostic impact, nutritional status has not yet been integrated into the assessment of hepatocellular carcinoma (HCC). This study investigated the association between geriatric nutritional risk index (GNRI) and overall survival (OS) in patients with HCC using a nationwide registry.

Methods

Data from the Korea Central Cancer Registry between 2008 and 2019 were analyzed. We explored the integration of the GNRI with the albumin-bilirubin (ALBI) grade for prognostic stratification. Restricted cubic spline regression was used to assess the association between GNRI and survival, stratified by ALBI grade.

Results

Among the 16,416 treatment-naïve HCC patients, the ALBI grades were distributed as follows: grade 1, 7,409; grade 2, 7,445; and grade 3, 1,562. Patients were categorized according to Barcelona Clinic Liver Cancer (BCLC) stages: 5,132 stage 0/A, 2,608 stage B, 5,289 stage C, and 968 stage D. The median OS for all patients was 3.1 years (95% CI: 3.0-3.2) and significantly differed with the inclusion of ALBI grade and GNRI (p < 0.001). The effect of combining ALBI grade and GNRI was further evaluated for each BCLC stage. This risk stratification showed a significant correlation with OS for each BCLC stage (all p < 0.001), except for stage D (p = 0.082). Multivariate analysis revealed that a combination of favorable ALBI grade and high GNRI score was independently associated with decreased mortality risk.

Conclusion

The GNRI was significantly correlated with OS across ALBI grades and BCLC stages. Integrating the GNRI into the ALBI grade may enhance risk stratification for patients with HCC.

Evaluation of Treatment Outcomes Using dNLR and GNRI in Combination Therapy With Atezolizumab and Bevacizumab for Hepatocellular Carcinoma

AIM

This study aims to investigate the clinical utility of the derived neutrophil-to-lymphocyte ratio (dNLR) and the Geriatric Nutritional Risk Index (GNRI) in predicting treatment outcomes for patients with unresectable hepatocellular carcinoma (HCC) undergoing combination therapy with atezolizumab and bevacizumab (Atez/Bev).

METHODS

A retrospective analysis was conducted on 310 patients. The dNLR, NLR, and GNRI were calculated, and their impact on progression-free survival (PFS) and overall survival (OS) was assessed. The formula for calculating dNLR is: (neutrophil count ÷ [white blood cell count-neutrophil count]), which means it does not require lymphocyte count. Furthermore, GNRI-dNLR and GNRI-NLR scores were defined, and their prognostic values were also analyzed.

RESULTS

The median PFS of this cohort was 7.2 months (95% CI: 5.9-8.5), and the median OS was 24.9 months (95% CI: 19.6-30.2). The dNLR, NLR, and GNRI were significant predictors of both PFS and OS. The dNLR showed a significant correlation with the NLR (Pearson correlation coefficient, p < 0.0001). Patients with high GNRI-dNLR scores demonstrated significantly worse PFS and OS compared to those with low scores (p = 0.001, p < 0.001, respectively). Compared to stratification by GNRI alone, the GNRI-dNLR or GNRI-NLR provided better stratification for both PFS and OS.

CONCLUSION

The dNLR could be a valuable substitute for NLR as a prognostic marker in patients with unresectable HCC undergoing Atez/Bev therapy. It offers a feasible alternative for databases lacking lymphocyte count information, ensuring comprehensive patient stratification and outcome prediction. The GNRI-NLR or GNRI-dNLR score provided better stratification compared to GNRI alone.

Early identification of hepatocellular carcinoma patients at high-risk of recurrence using the ADV score: a multicenter retrospective study

BACKGROUND

Postoperative recurrence is a vital reason for poor 5-year overall survival in hepatocellular carcinoma (HCC) patients. The ADV score is considered a parameter that can quantify HCC aggressiveness. This study aimed to identify HCC patients at high-risk of recurrence early using the ADV score.

METHODS

The medical data of consecutive HCC patients undergoing hepatectomy from The First Affiliated Hospital of Nanjing Medical University (TFAHNJMU) and Nanjing Drum Tower Hospital (NJDTH) were retrospectively reviewed. Based on the status of microvascular invasion and the Edmondson-Steiner grade, HCC patients were divided into three groups: low-risk group (group 1: no risk factor exists), medium-risk group (group 2: one risk factor exists), and high-risk group (group 3: coexistence of two risk factors). In the training cohort (TFAHNJMU), the R package nnet was used to establish a multi-categorical unordered logistic regression model based on the ADV score to predict three risk groups. The Welch's T-test was used to compare differences in clinical variables in three predicted risk groups. NJDTH served as an external validation center. At last, the confusion matrix was developed using the R package caret to evaluate the diagnostic performance of the model.

RESULTS

350 and 405 patients from TFAHNJMU and NJDTH were included. HCC patients in different risk groups had significantly different liver function and inflammation levels. Density maps demonstrated that the ADV score could best differentiate between the three risk groups. The probability curve was plotted according to the predicted results of the multi-categorical unordered logistic regression model, and the best cut-off values of the ADV score were as follows: low-risk ≤ 3.4 log, 3.4 log < medium-risk ≤ 5.7 log, and high-risk > 5.7 log. The sensitivities of the ADV score predicting the high-risk group (group 3) were 70.2% (99/141) and 78.8% (63/80) in the training and external validation cohort, respectively.

CONCLUSION

The ADV score might become a valuable marker for screening patients at high-risk of HCC recurrence with a cut-off value of 5.7 log, which might help surgeons, pathologists, and HCC patients make appropriate clinical decisions.

Development and validation of a prognostic nomogram to predict the recurrence of AFP-negative and DCP-positive hepatocellular carcinoma after curative resection

Purpose

Approximately one-third of hepatocellular carcinoma (HCC) cases are characterized by alpha-fetoprotein (AFP) negativity (AFP-NHCC. Among these patients, around 60% exhibit des-gamma-carboxyprothrombin (DCP) positivity, and DCP-positive patients have a poorer prognosis. As a curative treatment, recurrence after liver resection poses significant challenges to the prognosis of HCC patients. Therefore, it is necessary to determine the relevant risk factors of these patients and provide timely treatment options.

Methods

This study included 540 patients who underwent resection at Beijing You'an Hospital. 292 patients from 2014 to 2018 constituted the training cohort, while 248 patients from 2018 to 2020 constituted the validation cohort. All patients underwent routine follow-ups until December 2023. Variables were identified through Cox regression, and a nomogram was developed. The nomogram was evaluated using time-dependent receiver operating characteristic curves (ROC), calibration curves, Decision curve analysis (DCA), and Kaplan-Meier (KM) curve analysis.

Results

We found that age, tumor number, tumor size, γ-glutamyl transpeptidase (γ-GT), and prothrombin time (PT) are independent risk factors for HCC recurrence, and a nomogram was developed and validated based on this result to predict recurrence-free survival (RFS) at 1, 2, and 3 years. The performance of the nomogram was further confirmed by the ROC curve, calibration curve, and DCA, all of which showed favorable results. The KM curve analysis clearly distinguishes between two groups of people with different risks in terms of prognosis in both the training and validation sets.

Conclusion

In summary, we established and validated a novel nomogram by multivariate Cox regression analysis to predict recurrence in DCP-positive patients with AFP-NHCC after resection. The nomogram, including age, tumor number, tumor size, γ-GT, and PT, demonstrates better predictive ability for AFP-NHCC patients with DCP positive.

Lower Geriatric Nutritional Risk Index and Prognostic Nutritional Index Predict Postoperative Prognosis in Patients with Hepatocellular Carcinoma

Increasing evidence suggests that nutritional indices, including the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI), are predictors of poor prognosis in patients with hepatocellular carcinoma (HCC). Hence, this study aimed to explore the value of the GNRI and PNI in evaluating postoperative prognosis in patients with HCC, particularly regarding its recurrence patterns. We performed a retrospective analysis of 203 patients with HCC who underwent initial hepatic resection. Patients were divided into two groups according to the GNRI (cutoff: 98) and PNI (cutoff: 45). The GNRI and PNI were significantly associated with body composition (body mass index and skeletal muscle mass index), hepatic function (Child-Pugh Score), tumor factors (tumor size and microvascular invasion), and perioperative factors (blood loss and postoperative hospitalization). Patients with a low PNI or low GNRI had significantly worse overall survival (OS) and recurrence-free survival. Patients with early recurrence had lower PNI and GNRI scores than those without early recurrence. Patients with extrahepatic recurrence had lower PNI and GNRI scores than those without extrahepatic recurrence. The PNI and GNRI might be useful in predicting the prognosis and recurrence patterns of patients with HCC after hepatic resection.

A Low Geriatric Nutritional Risk Index Is Associated with Low Muscle Volume and a Poor Prognosis among Cirrhotic Patients

Background and Objectives: The geriatric nutritional risk index (GNRI) is an easily calculable index that can be determined using three common clinical variables. The GNRI is suggested to be related to sarcopenia in cirrhotic patients. However, the relationship between the GNRI and the prognosis in patients with liver cirrhosis (LC) has not been reported. The aim of the present research is to study the association of the GNRI with the nutritional status, hepatic function reserve, and prognosis in patients with liver cirrhosis (LC). Materials and Methods: A total of 370 cirrhotic patients whose nutritional statuses were evaluated using anthropometric measurements and bioimpedance analysis were studied. The associations between the GNRI and nutritional status and the GNRI and hepatic function reserve were analyzed. We also investigated the GNRI and prognosis of patients with LC. Results: The median age of the enrolled patients was 66 years old, and 266 (71.9%) patients had viral hepatitis-related LC. The GNRI was shown to decrease with the progression of chronic liver disease, represented by an increased FIB-4 index and severe Child-Pugh and mALBI grades. In addition, a low GNRI (<92) was associated with severe cirrhosis-related metabolic disorders, including a low branched-chain amino acid-to-tyrosine ratio (BTR) and a low zinc value. The GNRI was positively correlated with two nutrition-related anthropometric variables (% arm circumference and % arm muscle circumference), and a low GNRI was related to a low skeletal muscle mass index (SMI) (<7.0 kg/m2 for men or <5.7 kg/m2 for women), as determined by using bioimpedance analysis. In addition, patients with a low GNRI (<92) had a poorer prognosis than those with a high GNRI (≥92) (log-rank test: p = 0.0161, and generalized Wilcoxon test, p = 0.01261). Conclusions: Our results suggest that a low GNRI is related to severe chronic liver disease, low muscle volume, and a poor prognosis of patients with cirrhosis.

Geriatric Nutritional Risk Index and the Survival of Patients with Hepatocellular Carcinoma: A Meta-Analysis

Malnutrition is a risk factor of adverse clinical outcome in patients with cancer. Recent studies suggest that geriatric nutritional risk index (GNRI) could reflect the nutritional status in patients with various clinical conditions. The aim of the systematic review and meta-analysis was to evaluate the association between GNRI and survival of patients with hepatocellular carcinoma (HCC). Observational studies evaluating the association between pretreatment GNRI and survival of patients with HCC were obtained by search of PubMed, Web of Science, Embase, Wanfang, and CNKI databases. A random-effects model was used to pool the results after incorporating the potential influence of heterogeneity. Seven cohort studies including 2636 patients with HCC contributed to the meta-analysis. Pooled results showed that HCC patients with low pretreatment GNRI were associated with poor overall survival [hazard ratio (HR): 1.77, 95% confidence interval (CI): 1.32 to 2.37, p<0.001; I2=66%) and progression-free survival (HR: 1.62, 95% CI: 1.39 to 1.89, p<0.001; I2=0%) as compared to those with normal GNRI. Sensitivity analyses by excluding one study at a time showed similar results (p all<0.05). Subgroup analyses showed that the association between low pretreatment GNRI and poor survival of patients with HCC was not significantly affected by age of the patients, main treatment, cutoff of GNRI, or the follow-up durations. In conclusion, malnutrition indicated by a low pretreatment GNRI may be a risk factor of poor survival of patients with HCC.