Xingliang Feng*1, Meng Zhang*†1, Jialin Meng*, Yongqiang Wang†, Yi Liu*, Chaozhao Liang*, Song Fan*
Oncology Research, Vol.28, No.3, pp. 285-297, 2020, DOI:10.3727/096504020X15791676105394
Abstract We aimed to investigate the potential mechanisms of progression and identify novel prognosis-related biomarkers for papillary renal cell carcinoma (PRCC) patients. The related data were derived from The Cancer Genome
Atlas (TCGA) and then analyzed by weighted gene coexpression network analysis (WGCNA). The correlation
between each module and the clinical traits were analyzed by Pearson’s correlation analysis. Pathway analysis
was conducted to reveal potential mechanisms. Hub genes within each module were screened by intramodule analysis, and visualized by Cytoscape software. Furthermore, important hub genes were validated in an
external dataset and clinical samples. A total of 5,839 differentially expressed genes… More >
Login
Register
