Integration of CD34⁺CD117^dim population signature improves the prognosis prediction of acute myeloid leukemia.

ABSTRACT:

Background

Acute Myeloid Leukemia (AML) is a hematological cancer characterized by heterogeneous hematopoietic cells. Through the use of multidimensional sequencing technologies, we previously identified a distinct myeloblast population, CD34⁺CD117^dim, the proportion of which was strongly associated with the clinical outcome in t (8;21) AML. In this study, we explored the potential value of the CD34⁺CD117^dim population signature (117DPS) in AML stratification.

Methods

Based on the CD34⁺CD117^dim gene signature, the least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed to construct the 117DPS model using the gene expression data from Gene Expression Omnibus (GEO) database

SUBMITTER: Li XP 

PROVIDER: S-EPMC9373712 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature