Publications by authors named "Ze-Long Xing"
Clinical nomogram for predicting the survival of patients with cerebral anaplastic gliomas.
Medicine (Baltimore)
March 2020
Article Synopsis
- The study focused on creating a nomogram to predict the overall survival of patients with cerebral anaplastic glioma, analyzing data from 1939 patients diagnosed between 1973 and 2013.
- Key independent factors affecting survival included age, tumor site, marital status, histology, radiotherapy, and surgery, which were incorporated into the nomogram.
- The nomogram demonstrated good predictive performance, with strong concordance index values and calibration, enhancing its utility alongside the WHO classification for personalizing patient treatment strategies.
Article Synopsis
- The study investigates how fluid shear stress (FSS) affects endothelial cell injury through the protein kinase C alpha (PKCα) pathway, focusing on the proteins VE-cadherin and p120-catenin.
- A T chamber system was used to expose human umbilical vein endothelial cells (HUVECs) to FSS for different durations, revealing changes in cell shape, density, and protein expression levels.
- Results indicated that FSS increases phosphorylated PKCα and NF-κB levels while decreasing p120ctn and VE-cadherin expression, suggesting that PKCα may play a critical role in regulating cell integrity under mechanical stress.
Article Synopsis
- The study created a nomogram to predict overall survival (OS) for patients with low-grade glioma (LGG) using data from 3732 patients monitored from 1973 to 2013.
- Seven clinical variables were identified as significant for predicting 5- and 9-year OS rates, and the nomogram showed high accuracy in both internal and external validation, with C-index values around 0.777 to 0.776.
- This nomogram can aid healthcare providers in assessing risks and making treatment decisions for LGG patients based on their clinical characteristics.