Hypoxia-inducible factor 1 (HIF-1) is a new therapeutic target in JAK2V617F-positive myeloproliferative neoplasms.
Julian BaumeisterNicolas ChatainAnnika HubrichTiago MaiéIvan G CostaBernd DeneckeLijuan HanCaroline KüstermannStephanie SontagKristin SeréKlaus StrathmannMartin ZenkeAndreas SchuppertTim H BrümmendorfKamil R KrancSteffen KoschmiederDeniz GezerPublished in: Leukemia (2019)
Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) are a heterogeneous group of hematopoietic malignancies including polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). The JAK2V617F mutation plays a central role in these disorders and can be found in 90% of PV and ~50-60% of ET and PMF. Hypoxia-inducible factor 1 (HIF-1) is a master transcriptional regulator of the response to decreased oxygen levels. We demonstrate the impact of pharmacological inhibition and shRNA-mediated knockdown (KD) of HIF-1α in JAK2V617F-positive cells. Inhibition of HIF-1 binding to hypoxia response elements (HREs) with echinomycin, verified by ChIP, impaired growth and survival by inducing apoptosis and cell cycle arrest in Jak2V617F-positive 32D cells, but not Jak2WT controls. Echinomycin selectively abrogated clonogenic growth of JAK2V617F cells and decreased growth, survival, and colony formation of bone marrow and peripheral blood mononuclear cells and iPS cell-derived progenitor cells from JAK2V617F-positive patients, while cells from healthy donors were unaffected. We identified HIF-1 target genes involved in the Warburg effect as a possible underlying mechanism, with increased expression of Pdk1, Glut1, and others. That was underlined by transcriptome analysis of primary patient samples. Collectively, our data show that HIF-1 is a new potential therapeutic target in JAK2V617F-positive MPN.
Keyphrases
- cell cycle arrest
- cell death
- pi k akt
- induced apoptosis
- endothelial cells
- bone marrow
- endoplasmic reticulum stress
- end stage renal disease
- gene expression
- chronic kidney disease
- oxidative stress
- signaling pathway
- mesenchymal stem cells
- ejection fraction
- poor prognosis
- risk assessment
- machine learning
- binding protein
- high throughput
- copy number
- single cell
- patient reported outcomes
- big data
- kidney transplantation
- human health