scholarly journals Overexpression of the X-linked ribosomal protein S4 predicts poor prognosis in patients with intrahepatic cholangiocarcinoma

2017 ◽  
Vol 14 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Jie Kuang ◽  
Qin-Yu Li ◽  
Fei Fan ◽  
Ning-Jia Shen ◽  
Yong-Jie Zhan ◽  
...  
Keyword(s):  
Ribosomal Protein ◽  
Intrahepatic Cholangiocarcinoma ◽  
Poor Prognosis ◽  
Ribosomal Protein S4

Low level of the X-linked ribosomal protein S4 in human urothelial carcinomas is associated with a poor prognosis

2015 ◽  
Vol 9 (3) ◽  
pp. 187-197 ◽  
Author(s):  
Éric R Paquet ◽  
Hélène Hovington ◽  
Hervé Brisson ◽  
Cédric Lacombe ◽  
Hélène Larue ◽  
...  
Keyword(s):  
Ribosomal Protein ◽  
Poor Prognosis ◽  
Low Level ◽  
Urothelial Carcinomas ◽  
Ribosomal Protein S4

scholarly journals Expression of long non-coding RNA ANRIL predicts a poor prognosis in intrahepatic cholangiocarcinoma

2019 ◽  
Vol 51 (9) ◽  
pp. 1337-1343 ◽  
Author(s):  
Gaëlle Angenard ◽  
Aude Merdrignac ◽  
Corentin Louis ◽  
Julien Edeline ◽  
Cédric Coulouarn
Keyword(s):  
Intrahepatic Cholangiocarcinoma ◽  
Poor Prognosis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

A nomogram based on Psoas muscle index and prognostic nutritional index predicts the prognosis of intrahepatic cholangiocarcinoma after surgery: a multi-center cohort study

2021 ◽  
Author(s):  
Wenming Bao ◽  
Liming Deng ◽  
haitao Yu ◽  
bangjie He ◽  
Zixia Lin ◽  
...  
Keyword(s):  
High Risk ◽  
Intrahepatic Cholangiocarcinoma ◽  
Poor Prognosis ◽  
High Risk Patient ◽  
Malignant Neoplasm ◽  
Psoas Muscle ◽  
Prognostic Nutritional Index ◽  
Nutritional Index ◽  
Risk Patients ◽  
Patient Prognosis

Abstract Background Intrahepatic cholangiocarcinoma (ICC) is a malignant neoplasm with a poor prognosis. Prediction of prognosis is critical for the individualized clinical management of patients with ICC. The purpose of this study is to establish a nomogram based on the psoas muscle index (PMI) and prognostic nutritional index (PNI) to identify the high risk-patient with ICC after curative resection. Methods ICC Patients after hepatectomy in multi-hospital from August 2012 to October 2019 were enrolled. The overall survival (OS) and recurrence-free survival (RFS) rates were analyzed by Kaplan-Meier. The independent factors were identified by univariate and multivariate Cox regression analyses. A nomogram based on independent factors was established to predict ICC patient prognosis. Results 178 ICC patients were included. The OS was worst in the patients with a combination of low PMI combined low PNI (p < 0.01). PMI, PNI, lymph node metastasis and tumor differentiation were the independent prognostic risk factors; these factors were used to establish the nomogram was established by it. The calibration curve revealed that the nomogram survival probability prediction model was in good agreement with the actual observation results. The nomogram has good reliability in predicting ICC patient prognosis (OS C-index = 0.692). The area under the receiver operating characteristic curve (AUC) for the nomogram's 3-year predicted survival was 0.752. Based on the stratified by nomogram, the median survival for low-risk patients was 59.8 months, compared with 16.2 months for high-risk patients (p༜0.001). Conclusion The nomogram based on the PMI and PNI can identify patients with the highest risk of poor prognosis after curative hepatectomy. It is a good decision-making tool for individualized treatment.

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