← BioTransfer GEO Dataset Finder
GEO series

PROM1/CD133 MARKS A PROLIFERATIVE STEM CELL LIKE POPULATION OF BLASTS IN KMT2A REARRANGED INFANT ALL

GSE278786 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/10/01 Platform GPL21697
Summary
Among pediatric acute lymphoblastic leukemias (ALL), KMT2A-rearranged infant ALL (KMT2Ar iALL) carries a particularly poor prognosis due to high rates of treatment-refractory or relapsing disease. Mechanistically, KMT2Ar drives aggressive disease through epigenetic dysregulation of multiple genes as a direct effect of expression of KMT2A-fusion proteins, most commonly KMT2A::AFF1, in leukemic cells. We previously showed that one of the top 2 most dysregulated genes, PROM1 (Prominin-1), encodes the cell surface protein prominin-1/CD133 and that this is essential for proliferation of KMT2A::AFF1+ cell lines. Here we show that PROM1 gene expression and cell surface CD133 expression specifically mark a highly proliferative subset of KMT2A::AFF1 blasts both in primary patient samples and in our highly physiologically relevant, primary human fetal liver HSPC-derived KMT2A::AFF1 ALL model (CRISPRKMT2A::AFF1 ALL). CD133+ CRISPRKMT2A::AFF1 blasts, but not CD133- CRISPRKMT2A::AFF1 blasts, exhibit a stem-cell gene expression profile and drive more aggressive disease in vivo. Furthermore, CRISPR-mediated inactivation of PROM1 reduces leukemic proliferation and prolongs survival of mice transplanted with CRISPRKMT2A::AFF1 blasts. These data show that PROM1/CD133 expression has an important functional role in CRISPRKMT2A::AFF1 ALL, and supports targeting PROM1/CD133 by pharmacological or immunotherapy-based approaches in KMT2A::AFF1 iALL. 
Published in
PROM1/CD133 marks a proliferative stem cell-like population of blasts in KMT2A rearranged infant ALL
Cross JW, Field L, Smith A et al. · Blood advances 2025 · PMID 40609078 · doi:10.1182/bloodadvances.2024015185
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE278786_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1168923 and SRA study SRP536616. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.