Prognostic significance of neutrophil extracellular trap-related genes in childhood acute lymphoblastic leukemia: insights from multi-omics and in vitro experiment
- Cheng Chen 1, Yu Ma 1, Yadai Gao 2, Huiqing Ge 1, Xiaochun Zhang 1
- Cheng Chen 1, Yu Ma 1, Yadai Gao 2
- 1Department of Pediatrics, Peking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan, People's Republic of China.
- 2Department of Pediatrics, Yinchuan Women and Children Healthcare Hospital, Yinchuan, People's Republic of China.
- 0Department of Pediatrics, Peking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan, People's Republic of China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic model for childhood acute lymphoblastic leukemia (cALL) using extracellular trap-related genes (NETRGs). The model identified key genes that predict patient survival and may offer new therapeutic targets.
Area Of Science
- Oncology
- Genetics
- Bioinformatics
Background
- Childhood acute lymphoblastic leukemia (cALL) requires improved prognostic tools.
- Extracellular trap-related genes (NETRGs) are implicated in various cancers.
Purpose Of The Study
- To develop and validate a prognostic model for cALL based on NETRGs.
- To identify novel therapeutic targets for cALL.
Main Methods
- Analysis of transcriptomic data from TARGET-ALL-P2/P3 and GSE26713/GSE130116.
- Identification of differentially expressed NETRGs (DE-NETRGs).
- Construction and validation of a prognostic model using regression analyses and nomogram.
Main Results
- Seven prognostic NETRGs were identified, forming a risk model.
- The high-risk group showed significantly lower survival rates.
- Immune cell profiling revealed distinct populations between risk groups; specific genes were validated via RT-qPCR.
Conclusions
- A novel prognostic model for cALL based on NETRGs was successfully developed and validated.
- Six genes (TLR2, PTAFR, FCGR2A, RETN, S100A12, CAT) show potential as therapeutic targets for cALL.
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