HMGN1 plays a significant role in CRLF2 driven Down Syndrome leukemia and provides a potential therapeutic target in this high-risk cohort.
Elyse C PageSusan L HeatleyLaura N EadieBarbara J McClureCharles E de BockSofia A OmariDavid T YeungTimothy P HughesPaul Q ThomasDeborah L WhitePublished in: Oncogene (2021)
The genetic basis of the predisposition for Down Syndrome (DS) patients to develop cytokine receptor-like factor 2 rearranged (CRLF2r) acute lymphoblastic leukemia (ALL) is currently unknown. Genes located on chromosome 21 and expressed in hematopoietic cells are likely candidates for investigation of CRLF2r DS-ALL pathogenesis. We explored the high-mobility group nucleosome-binding protein 1 (HMGN1), located in the DS critical region, in an inducible CRISPR/Cas9 knockout (KO) xenograft model to assess the effect of HMGN1 loss of function on the leukemic burden. We demonstrated HMGN1 KO-mitigated leukemic phenotypes including hepatosplenomegaly, thrombocytopenia, and anemia, commonly observed in leukemia patients, and significantly increased survival in vivo. HMGN1 overexpression in murine stem cells and Ba/F3 cells in vitro, in combination with P2RY8-CRLF2, resulted in cytokine-independent transformation and upregulation of cell signaling pathways associated with leukemic development. Finally, in vitro screening demonstrated successful targeting of P2RY8-CRLF2 and HMGN1 co-expressing cell lines and patient samples with fedratinib (JAK2 inhibitor), and GSK-J4 (demethylase inhibitor) in combination. Together, these data provide critical insight into the development and persistence of CRLF2r DS-ALL and identify HMGN1 as a potential therapeutic target to improve outcomes and reduce toxicity in this high-risk cohort of young patients.
Keyphrases
- end stage renal disease
- stem cells
- chronic kidney disease
- newly diagnosed
- ejection fraction
- acute lymphoblastic leukemia
- signaling pathway
- crispr cas
- induced apoptosis
- peritoneal dialysis
- bone marrow
- cell proliferation
- epithelial mesenchymal transition
- type diabetes
- adipose tissue
- dna methylation
- gene expression
- cell therapy
- genome wide
- single cell
- cell death
- pi k akt
- artificial intelligence
- deep learning
- risk factors
- patient reported
- big data
- long non coding rna
- genome wide identification