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Dataset Information

Prediction of acute myeloid leukemia prognosis based on autophagy features and characterization of its immune microenvironment.


ABSTRACT:

Background

Autophagy promotes the survival of acute myeloid leukemia (AML) cells by removing damaged organelles and proteins and protecting them from stress-induced apoptosis. Although many studies have identified candidate autophagy genes associated with AML prognosis, there are still great challenges in predicting the survival prognosis of AML patients. Therefore, it is necessary to identify more novel autophagy gene markers to improve the prognosis of AML by utilizing information at the molecular level.

Methods

In this study, the Random Forest, SVM and XGBoost algorithms were utilized to identify autophagy genes linked to prognosis, respectively. Subsequently, six autophagy genes (TSC2, CALCOCO2, BAG3, UBQLN4, ULK1 and DAPK1) that were significantly associated with patien

SUBMITTER: Zhu C 

PROVIDER: S-EPMC11621098 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature