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Dataset Information

Identification of six hub genes and analysis of their correlation with drug sensitivity in acute myeloid leukemia through bioinformatics.


ABSTRACT:

Background

Acute myeloid leukemia (AML) is a common hematopoietic malignancy and have unsatisfactory prognosis. Our study aimed to identify hub genes in AML and explore potential biomarkers through integrated bioinformatics.

Methods

Microarray datasets were analyzed to screen the differentially expressed genes (DEGs). Functional enrichment analysis was performed, and protein-protein interaction (PPI) network was generated by the STRING (11.0) database and Cytoscape (3.7.2) software. Hub genes were screened and verified through GEPIA2 and GEO microarray database. Sensitivity of AML cell lines with high expression of hub genes to the small-molecule drugs were identified using GSCA Lite.

Results

A total of 456 DEGs were identified and top 100 genes were screened out, of

SUBMITTER: Cai D 

PROVIDER: S-EPMC8798452 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature