scholarly journals A new model based on gamma-glutamyl transpeptidase to platelet ratio (GPR) predicts prognostic outcome after curative resection of solitary hepatocellular carcinoma

2021 ◽  
Vol 45 (5) ◽  
pp. 101509
Author(s):  
Dongye Yang ◽  
Hongliang Wu ◽  
Wenxiong Nong ◽  
Min Zheng ◽  
Angui Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Curative Resection ◽  
Gamma Glutamyl Transpeptidase ◽  
New Model ◽  
Gamma Glutamyl ◽  
Model Based ◽  
Prognostic Outcome ◽  
Solitary Hepatocellular Carcinoma ◽  
Glutamyl Transpeptidase

scholarly journals Prognostic value of preoperative inflammatory markers in patients with hepatocellular carcinoma underwent curative resection

2021 ◽  
Author(s):  
Wenlong Wu ◽  
Quancheng Wang ◽  
Dandan Han ◽  
Jianhui Li ◽  
Ye Nie ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Factors ◽  
Inflammatory Markers ◽  
Curative Resection ◽  
Information Criterion ◽  
Gamma Glutamyl Transpeptidase ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Kaplan Meier ◽  
Glutamyl Transpeptidase

Abstract Background: The prognosis of hepatocellular carcinoma (HCC) is not optimistic. Our study focused on present inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), gamma-glutamyl transpeptidase-to-platelet ratio (GPR), aspartate aminotransferase-to-lymphocyte ratio (ALR) and fibrinogen-to-albumin ratio (FAR), and aimed to explore their optimal combination for the prognosis of HCC after resection.Methods: 347 HCC patients with curative resection were enrolled. The optimal cutoff values of the inflammatory markers were calculated using receiver operating characteristic (ROC) curve analysis, and used to divide patients into two groups whose differences were compared by Kaplan-Meier analysis. Cox univariate and multivariate analysis were used to analyze the independent prognostic inflammatory markers. c2 test was chosen to determine the relationship between independent prognostic inflammatory markers and clinicopathological features. We created the combined scoring models and evaluated them by Cox univariate and multivariate methods. The concordance index (C-index), Akaike information criterion (AIC) and likelihood ratio were calculated to compare the models. The selected optimal inflammatory markers and their combinations were tested in different stages of HCC by Kaplan-Meier analysis.Results: ALR and GPR were independent prognostic factors for DFS; ALR, PLR, and GPR were independent prognostic factors for OS. The proposed GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively.Conclusion: The preoperative GPR and ALR-GPR-PLR score models were independent predictors for DFS and OS, respectively, and performed well in stratifying patients with HCC. The higher score in the model, the worse the prognosis was.

scholarly journals Predictive value of gamma-glutamyl transpeptidase to lymphocyte count ratio in hepatocellular carcinoma patients with microvascular invasion

2020 ◽  
Author(s):  
Hongxing Zhang ◽  
Yu Zhou ◽  
Yicheng Li ◽  
Wanying Qin ◽  
Yunhua Zi ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Risk Factor ◽  
Roc Curve ◽  
Lymphocyte Count ◽  
Poor Prognosis ◽  
Microvascular Invasion ◽  
Gamma Glutamyl Transpeptidase ◽  
Gamma Glutamyl ◽  
Count Ratio ◽  
Glutamyl Transpeptidase

Abstract Background: Microvascular invasion (MVI) is an independent risk factor for poor prognosis in hepatocellular carcinoma (HCC). However, there is still a lack of preoperative markers to predict MVI in HCC. This study intends to explore the potential application value of the gamma-glutamyl transpeptidase (GGT) to lymphocyte count ratio (GLR) in predicting MVI in HCC and provide guidance for clinical diagnosis and treatment. Methods: From March 2010 to December 2015, 230 HCC patients who underwent surgical treatment in the Affiliated Hospital of Guilin Medical University were selected. Clinicopathological parameters between the MVI group (n = 115) and the non-MVI group (n = 115) were comparatively analyzed. The GLR was used as the potential risk factor for HCC with MVI, and its optimal cut-off value was estimated by using the receiver operating characteristic (ROC) curve. The Kaplan-Meier method was used to analyze the survival of HCC patients, and univariate and multivariate Cox regression analyses were used to establish independent predictors affecting postoperative HCC patients. Results: The GLR levels in the MVI group and non-MVI group were 84.83 ± 61.84 and 38.42 ± 33.52 (p < 0.001), respectively. According to ROC curve analysis, the optimal cut-off value of GLR was 56.0, and the area under the ROC curve (AUC) was 0.781 (95% CI, 0.719-0.833) for the risk prediction of MVI in HCC patients. Multivariate analysis showed that tumor size > 5 cm, HCC combined with MVI and GLR > 56.0 were independent risk factors for poor prognosis in HCC patients. In addition, compared with the non-MVI group, patients in the MVI group had shorter progression-free survival (PFS) and overall survival (OS). Conclusion: GLR could be a predictive biomarker of HCC after operation and a potential predictor of HCC combined with MVI. Keywords: Hepatocellular carcinoma, Microvascular invasion, GLR, Predictive

scholarly journals Predictive value of gamma-glutamyl transpeptidase to lymphocyte count ratio in hepatocellular carcinoma patients with microvascular invasion

2020 ◽  
Author(s):  
Hongxing Zhang ◽  
Yu Zhou ◽  
Yicheng Li ◽  
Wanying Qin ◽  
Yunhua Zi ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Risk Factor ◽  
Roc Curve ◽  
Lymphocyte Count ◽  
Poor Prognosis ◽  
Microvascular Invasion ◽  
Gamma Glutamyl Transpeptidase ◽  
Gamma Glutamyl ◽  
Count Ratio ◽  
Glutamyl Transpeptidase

Abstract Background: Microvascular invasion (MVI) is an independent risk factor for poor prognosis in hepatocellular carcinoma (HCC). However, there is still a lack of preoperative markers to predict MVI in HCC. This study intends to explore the potential application value of the gamma-glutamyl transpeptidase (GGT) to lymphocyte count ratio (GLR) in predicting MVI in HCC and provide guidance for clinical diagnosis and treatment.Methods: From March 2010 to December 2015, 230 HCC patients who underwent surgical treatment in the Affiliated Hospital of Guilin Medical University were selected. Clinicopathological parameters between the MVI group (n = 115) and the non-MVI group (n = 115) were comparatively analyzed. The GLR was used as the potential risk factor for HCC with MVI, and its optimal cut-off value was estimated by using the receiver operating characteristic (ROC) curve. The Kaplan-Meier method was used to analyze the survival of HCC patients, and univariate and multivariate Cox regression analyses were used to establish independent predictors affecting postoperative HCC patients.Results: The GLR levels in the MVI group and non-MVI group were 84.83 ± 61.84 and 38.42 ± 33.52 (p < 0.001), respectively. According to ROC curve analysis, the optimal cut-off value of GLR was 56.0, and the area under the ROC curve (AUC) was 0.781 (95% CI, 0.719-0.833) for the risk prediction of MVI in HCC patients. Multivariate analysis showed that tumor size > 5 cm, HCC combined with MVI and GLR > 56.0 were independent risk factors for poor prognosis in HCC patients. In addition, compared with the non-MVI group, patients in the MVI group had shorter progression-free survival (PFS) and overall survival (OS).Conclusion: GLR could be a predictive biomarker of HCC after operation and a potential predictor of HCC combined with MVI.

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