Expression and Prognostic Value of PRL-3 in Human Intrahepatic Cholangiocarcinoma

2009 ◽  
Vol 16 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Yijun Xu ◽  
Mingchen Zhu ◽  
Shuhong Zhang ◽  
Hui Liu ◽  
Tao Li ◽  
...  
2019 ◽  
Vol 10 (22) ◽  
pp. 5575-5584 ◽  
Author(s):  
Zheng Tang ◽  
Wei-Ren Liu ◽  
Pei-Yun Zhou ◽  
Zhen-Bin Ding ◽  
Xi-Fei Jiang ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Youyin Tang ◽  
Tao Zhang ◽  
Xianghong Zhou ◽  
Yunuo Zhao ◽  
Hanyue Xu ◽  
...  

Abstract Background Intrahepatic cholangiocarcinoma is an aggressive liver carcinoma with increasing incidence and mortality. A good auxiliary prognostic prediction tool is desperately needed for the development of treatment strategies. The purpose of this study was to explore the prognostic value of the radiomics nomogram based on enhanced CT in intrahepatic cholangiocarcinoma. Methods In this retrospective study, 101 patients with pathological confirmation of intrahepatic cholangiocarcinoma were recruited. A radiomics nomogram was developed by radiomics score and independent clinical risk factors selecting from multivariate Cox regression. All patients were stratified as high risk and low risk by a nomogram. Model performance and clinical usefulness were assessed by calibration curve, ROC curve, and survival curve. Results A total of 101patients (mean age, 58.2 years old; range 36–79 years old) were included in the study. The 1-year, 3-year, and 5-year overall survival rates were 49.5%, 26.6%, and 14.4%, respectively, with a median survival time of 12.2 months in the whole set. The least absolute shrinkage and selection operator (LASSO) method selected 3 features. Multivariate Cox analysis found three independent prognostic factors. The radiomics nomogram showed a significant prognosis value with overall survival. There was a significant difference in the 1-year and 3-year survival rates of stratified high-risk and low-risk patients in the whole set (30.4% vs. 56.4% and 13.0% vs. 30.6%, respectively, p = 0.018). Conclusions This radiomics nomogram has potential application value in the preoperative prognostic prediction of intrahepatic cholangiocarcinoma and may facilitate in clinical decision-making.


2021 ◽  
Vol 11 ◽  
Author(s):  
Yunshi Cai ◽  
Bohan Zhang ◽  
Jiaxin Li ◽  
Hui Li ◽  
Hailing Liu ◽  
...  

Background and AimsHepatic and coagulation function are routine laboratory tests prior to curative hepatectomy. The prognostic value of gamma-glutamyl transpeptidase (GGT) to platelet ratio (GPR) and international normalized ratio (INR) in surgically treated patients with intrahepatic cholangiocarcinoma (ICC) remains unclear.MethodsICC patients received curative hepatectomy in two west China centers were included. Time-dependent ROC curves were conducted to compare established indexes with prognostic value for ICC. GPR-INR score was introduced and evaluated using the Time-dependent AUC curve and Kaplan-Meier survival analysis. A novel nomogram based on the GPR-INR score was proposed; Harrell’s C-index, calibration curve and decision curve analysis were used to assess this nomogram.ResultsA total of 653 patients were included. The areas under ROC curves of GPR and INR in OS and RFS were superior to other indexes. Patients with a high GPR-INR score (1,2) presented significantly decreased overall survival (OS) and recurrence-free survival (RFS); GPR-INR sore, along with several clinicopathological indexes were selected into the nomogram, the calibration curve for OS probability showed good coincidence between the nomogram and the actual surveillance. The C-index of the nomogram was 0.708 (derivation set) and 0.746 (validation set), which was more representative than the C-indexes of the GPR-INR score (0.597, 0.678). In decision curve analysis, the net benefits of the nomogram in derivation and validation set were higher than Barcelona Clinic Liver Cancer staging (BCLC) classification and American Joint Committee on Cancer (AJCC) TNM 8th staging system.ConclusionsThe proposed nomogram generated superior discriminative ability to established staging systems; it is profitable to applicate this nomogram in clinical practice.


HPB ◽  
2018 ◽  
Vol 20 ◽  
pp. S375
Author(s):  
P. Addeo ◽  
F. Faitot ◽  
H. Jedidi ◽  
E. Felli ◽  
P. Bachellier

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