Publications by authors named "Jixiu Wei"
Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters.
BMC Med Inform Decis Mak
November 2024
Article Synopsis
- Cuproptosis is a newly discovered form of programmed cell death influenced by copper, and this research aims to investigate its relationship with Wilms tumor (WT) and related genes, ultimately creating a predictive model for WT.
- Researchers analyzed four gene expression datasets from the GEO database to assess the expression of Cuproptosis-related genes (CRGs), uncover clusters of WT, and examine immune cell infiltration patterns in WT samples.
- The study identified 13 significant CRGs associated with WT, discovered differences in immune cell presence compared to normal tissue, and determined that a support vector machine (SVM) model performed best in predicting WT risk using five specific genes, with validation through calibration and decision curve analyses.
Purpose: This study aimed to analyze the expression and prognosis of SRY-box transcription factor 11 (SOX11) in neuroblastoma (NB), as well as the biological function and potential regulatory mechanism of SOX11 in NB.
Methods: Public RNA sequencing was used to detect the expression level of SOX11. The Kaplan-Meier curve and hazard ratios (HR) were used to determine the prognostic value of SOX11 in NB.