Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia.

ABSTRACT:

Background

Acute Myeloid Leukemia (AML) is a heterogeneous hematologic malignancy, characterized by complex molecular features that significantly impact prognosis and therapeutic responses. Despite considerable progress, effective risk stratification and predictive biomarkers for personalized therapies remain inadequate. The involvement of cell adhesion-related genes in the progression of AML has yet to be fully explored.

Methods

AML patients were grouped into distinct molecular subtypes based on the expression patterns of cell adhesion-related genes. Enrichment analyses were subsequently performed to identify associated biological pathways. Differentially expressed genes were identified, and through Lasso regression and multivariate Cox regression, eight prognostically sign

SUBMITTER: Zhao C 

PROVIDER: S-EPMC12287482 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature