Transcriptomic signature can distinguish chronic neutrophilic leukemia from ambiguous neutrophilic leukemias.

ABSTRACT:

Background

Identifying uncommon neutrophilic leukemias presents a challenging task, owing to the analogous morphological characteristics and the dearth of molecular markers. The transcriptomic profile of bone marrow cells in this disease subset has been rarely explored.

Material and methods

The OHSU-CNL dataset, encompassing clinical parameters and parallel transcriptomic matrix, was downloaded from the Genomic Data Commons (GDC) database. Distinctive co-expressed gene modules and pivotal genes for chronic neutrophilic leukemia (CNL) were identified using R software. Subsequently, a diagnostic model for CNL denoted as CNL-5 was formulated employing least absolute shrinkage and selection operator (LASSO) regression analysis. The diagnostic power of the CNL-5 model was compare

SUBMITTER: Guo C 

PROVIDER: S-EPMC12006112 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature