Proteomic subtypes enrich current acute myeloid leukemia nomenclature and reflect intrinsic pathogenesis alongside aging.

ABSTRACT:

Abstract

Acute myeloid leukemia (AML) is a highly heterogeneous hematological malignancy that increasingly affects the older population, with its posttranscriptional landscape remaining largely elusive. Establishing a stable proteomics-based classification system and systematically screening age-related proteins and regulatory networks are crucial for understanding the pathogenesis and outcomes of AML. In this study, we leveraged a multiomics cohort of 374 patients newly diagnosed with AML, integrating proteome, phosphoproteome, genome, transcriptome, and drug screening data. Through similarity network fusion clustering, we established 8 proteomic subtypes with distinct clinical and molecular properties, including S1 (CEBPA mutations), S3 (myelodysplasia-related AML), S4 (PML::RARA

SUBMITTER: Cheng WY 

PROVIDER: S-EPMC12824659 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature