Prognostic model based on B cell marker genes for NSCLC patients under neoadjuvant immunotherapy by integrated analysis of single-cell and bulk RNA-sequencing data.
Yang LiuFenglong BieGuangyu BaiQilin HuaiYuan LiXiaowei ChenBolun ZhouZhenlin YangPublished in: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2024)
We constructed an 18-gene prognostic signature derived from B cell marker genes based on scRNA-seq data, which had the potential to predict the prognosis and immune response of NSCLC patients receiving neoadjuvant immunotherapy.
Keyphrases
- single cell
- genome wide
- small cell lung cancer
- rna seq
- immune response
- end stage renal disease
- rectal cancer
- genome wide identification
- electronic health record
- lymph node
- locally advanced
- newly diagnosed
- ejection fraction
- advanced non small cell lung cancer
- chronic kidney disease
- peritoneal dialysis
- dna methylation
- copy number
- big data
- high throughput
- squamous cell carcinoma
- genome wide analysis
- wastewater treatment
- risk assessment
- dendritic cells
- gene expression
- toll like receptor
- patient reported outcomes
- machine learning
- transcription factor
- climate change
- tyrosine kinase
- artificial intelligence
- epidermal growth factor receptor
- inflammatory response