A six-gene prognostic signature for both adult and pediatric acute myeloid leukemia identified with machine learning.

ABSTRACT:

Background

Although it is well-known that adult and pediatric acute myeloid leukemias (AMLs) are genetically distinct diseases, they still share certain gene expression profiles. The age-related genetic heterogeneities of AMLs have been well-studied, but the common prognostic signatures and molecular mechanisms of adult and pediatric AMLs are less investigated.

Aim

To identify genes and pathways that are associated with both pediatric and adult AMLs and discover a gene signature for overall survival (OS) prediction.

Methods

Through mining the transcriptome profiles of The Cancer Genome Atlas (TCGA) data sets of adult cancers and The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) data of pediatric cancers, we identified genes that are com

SUBMITTER: Liu Z 

PROVIDER: S-EPMC9556437 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature