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

2019 ◽  
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 Purpose: Microvascular invasion (MVI) is an independent risk factor for poor prognosis of hepatocellular Carcinoma (HCC), However, there is still a lack of preoperative markers to predict MVI of HCC. This study intends to explore the potential application value of gamma-glutamyl transpeptidase to lymphocyte count ratio (GLR) in predicting MVI of HCC, and provide guidance of clinical diagnosis and treatment.Patients and methods: From March 2010 to December 2015, 230 HCC patients underwent surgical treatment in Affiliated Hospitals of Guilin Medical University were selected. Clinicopathological parameters between MVI group (n = 115) and non-MVI group (n = 115) were comparative analyzed. Gamma-glutamyl transpeptidase (GGT) to lymphocyte count ratio (GLR) was used as the key risk factor of HCC with MVI and its optimal cut-off value was estimated by using the receiver operating characteristic (ROC) curve. Kaplan-meier method was used to analyze the survival of HCC patients, and univariate and multivariate Cox regression analysis were used to establish independent predictors affecting postoperative HCC patients.Results: The level of GLR in the MVI group and non-MVI group was 84.83 ± 61.84 and 38.42 ± 33.52 (p < 0.001) respectively. According to the ROC curve analysis, the optimal cut-off value of GLR was 56, and the area under ROC curve (AUC) was 0.781 (95%CI, 0.719 - 0.833) for risk prediction in HCC patients with MVI. Multivariate analysis results showed that the tumor size > 5 cm, HCC combined with MVI and GLR > 56 are independent risk factors for poor prognosis of HCC patients. In addition, compared with non-MVI group, patients with MVI had shorter progression-free survival (PFS) rates and overall survival (OS).Conclusion: GLR could be a predictive biomarker of HCC after operation and a potential predictor of HCC patients combined with MVI.

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.

scholarly journals Non-Linear Relationship of Gamma-Glutamyl Transpeptidase To Lymphocyte Count Ratio With The Recurrence of Hepatocellular Carcinoma with Staging I-II: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Zeping Li ◽  
Lili Liang ◽  
Wen Duan ◽  
Chengmao Zhou ◽  
Jianjun Yang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Lymphocyte Count ◽  
Retrospective Cohort ◽  
Cox Regression ◽  
Radical Resection ◽  
High Recurrence Rate ◽  
Gamma Glutamyl Transpeptidase ◽  
Gamma Glutamyl ◽  
Count Ratio ◽  
Glutamyl Transpeptidase

Abstract Background high recurrence rate was a major factor for poor postoperative prognosis of hepatocellular carcinoma (HCC) patients. The present study was intended to evaluate the association of gamma-glutamyl transpeptidase to lymphocyte count ratio (GLR) and the recurrence of HCC with staging I-II in Chinese. Methods the retrospective cohort data was derived from the First Affiliated Hospital of Zhengzhou University from January 2014 to December 2018 on 496 patients who underwent radical resection of HCC with staging I-II. Multivariable Cox regression models were used to determine hazard ratios (HR) and 95% confidence intervals (CIs) for the recurrence of HCC with staging I-II of each GLR tertile category. The restricted cubic spline model was used to find out the threshold effect. Results with the low tertile of GLR as the reference, multivariable-adjusted HRs and 95% CIs of the middle and high tertile categories were 1.748 (1.170, 2.612) and 2.078 (1.339, 3.227). In addition, there was a positive correlation (1.002 (1.001, 1.004)) and a non-liner relationship was found, whose point was 27.5. When the GLR was less than 27.5, the risk of recurrence increased, obviously with the increase in GLR levels (1.041 (1.014, 1.068)). Conclusions the GLR was independently associated with the recurrence of HCC patients with staging I-II. Furthermore, the relationship was positive and no-linear.

Gamma-glutamyl transpeptidase is a useful predictor in evaluating the prognosis in pediatric acute liver failure

2019 ◽  
Author(s):  
Haiyan Fu ◽  
Ruiqin Zhao ◽  
Gelan Bai ◽  
Hui Zhou
Keyword(s):  
Liver Failure ◽  
Acute Liver Failure ◽  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Serum Total Bilirubin ◽  
Gamma Glutamyl Transpeptidase ◽  
Cutoff Value ◽  
Gamma Glutamyl ◽  
Glutamyl Transpeptidase ◽  
Pediatric Acute Liver Failure

Abstract Background and objective: Pediatric acute liver failure (PALF) progresses rapidly and has a poor prognosis. Therefore, simple, sensitive and specific clinical indicators are needed. Gamma-glutamyl transpeptidase (GGT) plays a role in predicting the prognosis in infantile cholestatic liver diseases. However, its role in predicting the prognosis in PALF remains unclear. Methods: In present study, children with PALF were divided into a normal GGT group and a high GGT group using the GGT level of 50 U/L as the demarcation line. Age, sex, serum total bilirubin, direct bilirubin, albumin, total bile acid, international normalized ratio (INR) and pediatric end-stage liver disease (PELD) score were compared between the 2 groups. In addition, GGT level was subjected to receiver operating characteristic (ROC) curve analysis, and the area under the curve and the optimal diagnostic cutoff value were calculated. Results: A total of 41 children with PALF were enrolled in the study. INR, PELD score and mortality rate were significantly higher in the normal GGT group in comparison to the high GGT group. GGT level had area under the ROC curve of 0.8194 (95% CI : 0.680-0.959); the optimal diagnostic cutoff values were 60 U/L. At the cutoff value, the sensitivity and specificity of GGT level in predicting the prognosis in PALF were 86.36% and 73.68% respectively. Conclusion: GGT exhibited high sensitivity and specificity in predicting the prognosis in PALF. It can be used as one useful prognostic indicator of PALF.

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