Identification and validation of hub genes and molecular classifications associated with chronic myeloid leukemia.

ABSTRACT:

Background

Chronic myeloid leukemia (CML) is a kind of malignant blood tumor, which is prone to drug resistance and relapse. This study aimed to identify novel diagnostic and therapeutic targets for CML.

Methods

Differentially expressed genes (DEGs) were obtained by differential analysis of the CML cohort in the GEO database. Weighted gene co-expression network analysis (WGCNA) was used to identify CML-related co-expressed genes. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to screen hub genes and construct a risk score model based on hub genes. Consensus clustering algorithm was used for the identification of molecular subtypes. Clinical samples and in vitro experiments were used to verify the expression and biological function

SUBMITTER: Zhong F 

PROVIDER: S-EPMC10811081 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature