Publications by authors named "Jia-Geng Xie"
Article Synopsis
- The study focused on using machine learning and PET imaging to predict how long patients with early-stage non-small cell lung cancer (NSCLC) can expect to live without disease progression.
- Researchers analyzed data from 234 patients and created a model that combined radiomic features from tumor and surrounding areas with clinical data, resulting in a highly accurate predictive tool for patient outcomes.
- The findings indicated that certain imaging features can effectively distinguish between high-risk and low-risk patients, highlighting the importance of these radiomic signatures as independent markers for patient prognosis.
[Anti-hepatoma effects of Smac analogue Birinapant and its related molecular mechanism].
Zhongguo Ying Yong Sheng Li Xue Za Zhi
June 2018
Objective: To investigate the effects of Birinapant on hepatocellular carcinoma cells and its related molecular mechanisms.
Methods: Human hepatocellular carcinoma cells QGY-7701 were treated with 0, 1, 5, 25 and 125 nmol/L Birinapant for 24, 48 and 72 hours respectively, each experiment 3 wells.The proliferation activity of cells, the apoptosis levels, the cells nuclear type, the mitochondrial membrane potential, the transcription and expression levels of genes and the cytotoxicity of Birinapant were analyzed.