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

Author:

Krishnan Vaidehi1ORCID,Schmidt Florian2,Nawaz Zahid2ORCID,Venkatesh Prasanna Nori2ORCID,Lee Kian Leong1ORCID,Ren Xi2,Chan Zhu En1,Yu Mengge1ORCID,Makheja Meera3,Rayan Nirmala Arul4,Lim Michelle Gek Liang2,Cheung Alice Man Sze5ORCID,Bari Sudipto6,Chng Wee Joo7,Than Hein5ORCID,Ouyang John1,Rackham Owen1,Tan Tuan Zea8ORCID,Hwang William Ying Khee5ORCID,Chuah Charles5,Prabhakar Shyam2,Ong S. Tiong1ORCID

Affiliation:

1. DUKE-NUS MEDICAL SCHOOL, Singapore, Singapore

2. Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore, Singapore

3. Bioinformatics Institute, Singapore, Singapore

4. Genome Institute of Singapore, Singapore, Singapore

5. Singapore General Hospital, Singapore, Singapore

6. National Cancer Centre, Singapore, Singapore

7. National University of Singapore, Singapore

8. Cancer Science Institute of Singapore, Singapore, Singapore

Abstract

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.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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