Unknown

Dataset Information

A Novel Prognostic Risk-Scoring Model Based on RAS Gene-Associated Cluster in Pediatric Acute Myeloid Leukemia.


ABSTRACT:

Background

With the rapid development of diagnostic techniques and treatment strategies, there are notable improvements in pediatric acute myeloid leukemia (AML) prognosis. Nevertheless, the pathogenesis of AML remains largely unknown. This study aims to investigate the RAS pathway-associated genes based on bioinformatics analysis, and investigate their underlying mechanisms in the initiation and progression of AML.

Materials and methods

The UCSC Xena database was the source of the training set data, while the GSE192638 dataset was the source of the validation set data. Children in the training set were split up into two groups according to RAS pathway-associated genes, and then differentially expressed genes (DEGs) of them were screened. To discover prognosis-related genes

SUBMITTER: Luo CJ 

PROVIDER: S-EPMC11891924 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature