Unknown

Dataset Information

Transcriptomic Diversity of Pediatric Acute Myeloid Leukemia Genetic Drivers Correlates With Clinical Outcome and Expression of Stemness-Related Genes.


ABSTRACT:

Background

Pediatric acute myeloid leukemia (pAML) is comprised of a diverse set of oncogenic drivers (ODs) that have been risk-stratified to inform prognosis and therapeutic decision-making. Despite proteomic, transcriptomic, genetic, and epigenetic characterization of the pAML landscape, questions still remain about why certain ODs have poorer prognoses than others.

Methods

We analyze a large pAML bulk-RNA dataset (n = 435) and organize ODs along an axis of transcriptomic diversity by calculating the Simpson Diversity Index (SDI) of individual ODs.

Results

When comparing patients with low diversity ODs to patients with high diversity ODs, we observe poorer overall survival (HR = 1.877, 95% CI: 1.377-2.558, p = 0.0002) among patients harboring high diversity ODs in a

SUBMITTER: Bubb QR 

PROVIDER: S-EPMC12580620 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature