Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer.
Huiying QiaoRong LvYongkui PangZhibing YaoXi ZhouWei ZhuWenqing ZhouPublished in: Analytical cellular pathology (Amsterdam) (2022)
We constructed a TME-related gene signature model to predict the survival probability of BRCA patients. We also identified a hub gene, TBC1D10C, which was correlated with both OS and the PFI and had a high positive association with tumor-infiltrating immune cells and common immune checkpoints. TBC1D10C may be a new biomarker to select patients who may benefit from immunotherapy.
Keyphrases
- network analysis
- genome wide
- copy number
- end stage renal disease
- genome wide identification
- newly diagnosed
- ejection fraction
- chronic kidney disease
- magnetic resonance
- prognostic factors
- peritoneal dialysis
- dna methylation
- magnetic resonance imaging
- computed tomography
- wastewater treatment
- transcription factor
- genome wide analysis
- contrast enhanced
- breast cancer risk