Identifying a prognostic model and screening of potential natural compounds for acute myeloid leukemia.

ABSTRACT:

Background

Acute myeloid leukemia (AML) is one of the most common hematologic malignancies with a poor prognosis and high recurrence rate. The discovery of new predictive models and therapeutic agents plays a crucial role.

Methods

The differentially expressed gene that was explicitly highly expressed in The Cancer Genome Atlas (TCGA) and GSE9476 transcriptome databases were screened and included in the least absolute shrinkage and selection operator (LASSO) regression model to derive risk coefficients and build a risk score model. Functional enrichment analysis was conducted on the screened hub genes to explore the potential mechanisms. Subsequently, critical genes were incorporated into a nomogram model based on risk scores to analyze prognostic value. Finally, this study c

SUBMITTER: Sun XH 

PROVIDER: S-EPMC10331709 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature