scholarly journals Simple models based on gamma-glutamyl transpeptidase and platelets for predicting survival in hepatitis B-associated hepatocellular carcinoma

2016 ◽  
pp. 2099 ◽  
Author(s):  
Qing Pang ◽  
Jian-Bin Bi ◽  
Zhixin Wang ◽  
Xin-Sen Xu ◽  
Kai Qu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatitis B ◽  
Gamma Glutamyl Transpeptidase ◽  
Gamma Glutamyl ◽  
Glutamyl Transpeptidase ◽  
Simple Models

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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