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Biochemical Pharmacology|July 27, 2025
FDX1 facilitates elesclomol-induced cuproptosis and promotes glioblastoma development via transcription factor NFKB1Anyi Wu, Nanheng Yin, Zengyang Li, et al.
Frontiers in Oncology|May 20, 2025
Interpretable multiparametric MRI radiomics-based machine learning model for preoperative differentiation between benign and malignant prostate masses: a diagnostic, multicenter studyWenjun Zhou, Zhangcheng Liu, Jindong Zhang, et al.
BMC Immunology|February 3, 2018
Establishment of malignantly transformed dendritic cell line SU3-ihDCTC induced by Glioma stem cells and study on its sensitivity to resveratrolXifeng Fei, Anqi Wang, Delin Wang, et al.
CNS Neuroscience & Therapeutics|April 17, 2023
Upregulation of the ZNF148/PTX3 axis promotes malignant transformation of dendritic cells in glioma stem-like cells microenvironmentShan Cheng, Liang Liu, Delin Wang, et al.
Translational Andrology and Urology|December 10, 2025
Integration of genetic, proteomic, and transcriptomic data identifies therapeutic targets and prognostic biomarkers in bladder cancerKun Han, Chengcheng Wei, Yunfan Li, et al.
Trials|July 30, 2025
Effectiveness of self-management intervention program based on Self-Determination Theory and Solution-Focused Approach in adolescents with inflammatory bowel disease: study protocol for a randomized controlled trialYangfan Zhu, Yueyue Chen, Jinjiu Hu, et al.
Plos One|September 13, 2024
The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinomaAbdalla Ibrahim, Siddharth Guha, Lin Lu, et al.
The Prostate|October 9, 2016
Activation of UPR Signaling Pathway is Associated With the Malignant Progression and Poor Prognosis in Prostate CancerJunnan Liu, Maolin Xiao, Jianjun Li, et al.
Human Pathology|November 8, 2015
Overexpressed Rce1 is positively correlated with tumor progression and predicts poor prognosis in prostate cancerLiangliang Huang, Meicai Li, Delin Wang, et al.
Plos One|February 2, 2024
Machine learning-based identification of contrast-enhancement phase of computed tomography scansSiddharth Guha, Abdalla Ibrahim, Qian Wu, et al.
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