Acquired miR-142 deficit in leukemic stem cells suffices to drive chronic myeloid leukemia into blast crisis.
Bin Amber ZhangDandan ZhaoFang ChenDavid E FrankhouserHuafeng WangKhyatiben V PathakLei DongAnakaren TorresKrystine Garcia-MansfieldYi ZhangDinh Hoa HoangMin-Hsuan ChenShu TaoHyejin ChoYong LiangDanilo PerrottiSergio BranciamoreRussell C RockneXiwei WuLucy GhodaLing LiJie JinJianjun ChenJian Hua YuMichael A CaligiuriYa-Huei KuoMark BoldinRui SuPiotr SwiderskiMarcin KortylewskiPatrick PirrotteLe Xuan Truong NguyenGuido MarcucciPublished in: Nature communications (2023)
The mechanisms underlying the transformation of chronic myeloid leukemia (CML) from chronic phase (CP) to blast crisis (BC) are not fully elucidated. Here, we show lower levels of miR-142 in CD34 + CD38 - blasts from BC CML patients than in those from CP CML patients, suggesting that miR-142 deficit is implicated in BC evolution. Thus, we create miR-142 knockout CML (i.e., miR-142 -/- BCR-ABL) mice, which develop BC and die sooner than miR-142 wt CML (i.e., miR-142 +/+ BCR-ABL) mice, which instead remain in CP CML. Leukemic stem cells (LSCs) from miR-142 -/- BCR-ABL mice recapitulate the BC phenotype in congenic recipients, supporting LSC transformation by miR-142 deficit. State-transition and mutual information analyses of "bulk" and single cell RNA-seq data, metabolomic profiling and functional metabolic assays identify enhanced fatty acid β-oxidation, oxidative phosphorylation and mitochondrial fusion in LSCs as key steps in miR-142-driven BC evolution. A synthetic CpG-miR-142 mimic oligodeoxynucleotide rescues the BC phenotype in miR-142 -/- BCR-ABL mice and patient-derived xenografts.
Keyphrases
- chronic myeloid leukemia
- cell proliferation
- long non coding rna
- long noncoding rna
- stem cells
- single cell
- rna seq
- end stage renal disease
- tyrosine kinase
- chronic kidney disease
- oxidative stress
- healthcare
- fatty acid
- dna methylation
- ejection fraction
- adipose tissue
- metabolic syndrome
- newly diagnosed
- type diabetes
- nitric oxide
- prognostic factors
- high throughput
- mouse model
- bone marrow
- big data
- protein kinase
- data analysis
- genome wide analysis