ASO Author Reflections: Preoperative Hypercoagulability Predicts Poor Prognosis in Hepatocellular Carcinoma Patients with Microvascular Invasion After Hepatectomy

2019 ◽  
Vol 26 (S3) ◽  
pp. 806-807
Author(s):  
Xiu-Ping Zhang ◽  
Shu-Qun Cheng
Gut and Liver ◽  
2016 ◽  
Vol 10 (6) ◽  
pp. 948-954 ◽  
Author(s):  
Se Young Jang ◽  
Soo Young Park ◽  
Hye Won Lee ◽  
Yeon-Kyung Choi ◽  
Keun-Gyu Park ◽  
...  

2020 ◽  
Author(s):  
Hongxing Zhang ◽  
Yu Zhou ◽  
Yicheng Li ◽  
Wanying Qin ◽  
Yunhua Zi ◽  
...  

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


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2554
Author(s):  
Aida Sabaté-Llobera ◽  
Judit Mestres-Martí ◽  
Gabriel Reynés-Llompart ◽  
Laura Lladó ◽  
Kristel Mils ◽  
...  

Hepatocellular carcinoma (HCC) generally presents a low avidity for 2-deoxy-2-[18F]fluoro-d-glucose (FDG) in PET/CT although an increased FDG uptake seems to relate to more aggressive biological factors. To define the prognostic value of PET/CT with FDG in patients with an HCC scheduled for a tumor resection, forty-one patients were prospectively studied. The histological factors of a poor prognosis were determined and FDG uptake in the HCC lesions was analyzed semi-quantitatively (lean body mass-corrected standardized uptake value (SUL) and tumor-to-liver ratio (TLR) at different time points). The PET metabolic parameters were related to the histological characteristics of the resected tumors and to the evolution of patients. Microvascular invasion (MVI) and a poor grade of differentiation were significantly related to a worse prognosis. The SULpeak of the lesion 60 min post-FDG injection was the best parameter to predict MVI while the SULpeak of the TLR at 60 min was better for a poor differentiation. Moreover, the latter parameter was also the best preoperative variable available to predict any of these two histological factors. Patients with an increased TLRpeak60 presented a significantly higher incidence of poor prognostic factors than the rest (75% vs. 28.6%, p = 0.005) and a significantly higher incidence of recurrence at 12 months (38% vs. 0%, p = 0.014). Therefore, a semi-quantitative analysis of certain metabolic parameters on PET/CT can help identify, preoperatively, patients with histological factors of a poor prognosis, allowing an adjustment of the therapeutic strategy for those patients with a higher risk of an early recurrence.


2020 ◽  
Author(s):  
Hongxing Zhang ◽  
Yu Zhou ◽  
Yicheng Li ◽  
Wanying Qin ◽  
Yunhua Zi ◽  
...  

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.


Cancer ◽  
2009 ◽  
Vol 115 (20) ◽  
pp. 4753-4765 ◽  
Author(s):  
Zhen-Bin Ding ◽  
Ying-Hong Shi ◽  
Jian Zhou ◽  
Guo-Ming Shi ◽  
Ai-Wu Ke ◽  
...  

2019 ◽  
Author(s):  
Hongxing Zhang ◽  
Yu Zhou ◽  
Yicheng Li ◽  
Wanying Qin ◽  
Yunhua Zi ◽  
...  

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.


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