A Single-cell Atlas Identifies Pretreatment Features of Primary Imatinib Resistance in Chronic Myeloid Leukemia

伊马替尼 髓系白血病 髓样 甲磺酸伊马替尼 生物 免疫学 骨髓 癌症研究 祖细胞 医学 干细胞 遗传学
作者
Vaidehi Krishnan,Florian Schmidt,Zahid Nawaz,Prasanna Nori Venkatesh,Kian Leong Lee,Xi Ren,Zhu En Chan,Mengge Yu,Meera Makheja,Nirmala Arul Rayan,Michelle Gek Liang Lim,Alice M.S. Cheung,Sudipto Bari,Wee Joo Chng,Hein Than,John F. Ouyang,Owen J. L. Rackham,Tuan Zea Tan,William Ying Khee Hwang,Charles Chuah
出处
期刊:Blood [Elsevier BV]
被引量:24
标识
DOI:10.1182/blood.2022017295
摘要

Primary resistance to tyrosine kinase inhibitors (TKI) is a significant barrier to optimal outcomes in chronic myeloid leukemia, but little is known about the factors contributing to response heterogeneity. Using scRNA-sequencing, we identified eight statistically significant features in pretreatment bone marrow mononuclear cells which correlated with either sensitivity (major molecular response or MMR) or extreme resistance to imatinib (eventual blast crisis transformation). Employing machine-learning, we also identified LSC and NK gene expression profiles predicting imatinib response with >80% accuracy, including zero false positives for predicting BC. A canonical erythroid-specifying (TAL1/KLF1/GATA1) regulon was a hallmark of LSCs from patients with MMR and was associated with erythroid progenitor (ERP) expansion in vivo (p<0.05), and a marked 2-10-fold (6.3-fold in Group A vs 1.09-fold in Group C) erythroid over myeloid bias in vitro. Notably, ERPs demonstrated exquisite TKI sensitivity compared to myeloid progenitors (p<0.001). These LSC features were lost with progressive resistance, and in patients who transformed, MYC- and IRF1-driven inflammatory regulons became evident. Patients with MMR also exhibited a 56-fold expansion (p<0.01) of a normally rare subset of hyperfunctional adaptive-like NK cells (CD57+NKG2C+) which diminished with progressive resistance, while patients destined for BC accumulated inhibitory NKG2A+ NK cells favoring NK cell tolerance (through HLA-E binding on target cells). Finally, we developed a parsimonious set of antibodies to validate our scRNA-seq findings. This panel will be useful in prospective studies of primary resistance, and assessing the contribution of predetermined versus acquired factors in TKI response heterogeneity.
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