№ files_lp_4_process_1_26195
Scientific research article presenting a bioinformatic analysis of transcriptomic datasets to identify prognostic genes related to Epstein-Barr virus and mitochondrial dynamics in nasopharyngeal carcinoma and describing the development of a predictive risk model based on ARHGAP4, MEIS1, and XCR1.
Year: Not specified
Region / Country: China
City: Shenzhen
Field: Oncology; Molecular Biology; Bioinformatics
Research Topic: Nasopharyngeal carcinoma prognosis and gene expression analysis
Document Type: Scientific research article
Institutions: Shenzhen University General Hospital; Shenzhen Hospital of Southern Medical University
Departments: Department of Otolaryngology Head and Neck Surgery; Department of Urology; Department of Anesthesiology
Authors: Ping Li; Xin Xu; Xueyu Zhang; Huifen Xie; Cuirong Xiao; Yinggui Yang
Corresponding Author: Yinggui Yang
Ethics Approval: Ethics Committee of Affiliated Shenzhen Hospital of Southern Medical University
Methodology: Transcriptomic data analysis; univariate Cox regression; risk model construction; nomogram; gene set enrichment analysis; immune infiltration analysis; drug sensitivity analysis
Key Genes Identified: ARHGAP4; MEIS1; XCR1
Disease Focus: Nasopharyngeal carcinoma
Associated Factors: Epstein-Barr virus infection; mitochondrial dynamics
Data Source: Public biological databases
Research Objective: Identification of prognostic genes and development of a predictive risk model for nasopharyngeal carcinoma
Keywords: Nasopharyngeal carcinoma; Prognostic genes; Risk model; Epstein-Barr virus
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