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A single-cell atlas identifies pretreatment features of primary imatinib resistance in chronic myeloid leukemia.
Krishnan, Vaidehi; Schmidt, Florian; Nawaz, Zahid; Venkatesh, Prasanna Nori; Lee, Kian Leong; Ren, Xi; Chan, Zhu En; Yu, Mengge; Makheja, Meera; Rayan, Nirmala Arul; Lim, Michelle Gek Liang; Cheung, Alice Man Sze; Bari, Sudipto; Chng, Wee Joo; Than, Hein; Ouyang, John; Rackham, Owen; Tan, Tuan Zea; Hwang, William Ying Khee; Chuah, Charles; Prabhakar, Shyam; Ong, S Tiong.
Affiliation
  • Krishnan V; Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Schmidt F; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Nawaz Z; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Venkatesh PN; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Lee KL; Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Ren X; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Chan ZE; Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Yu M; Cancer & Stem Cell Biology Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Makheja M; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Rayan NA; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Lim MGL; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore, Singapore.
  • Cheung AMS; Department of Haematology, Singapore General Hospital, Singapore.
  • Bari S; Division of Medical Sciences, National Cancer Centre, Singapore.
  • Chng WJ; Advanced Cell Therapy and Research Institute, Singapore.
  • Than H; Oncology Academic Clinical Program, Duke-NUS Medical School, Singapore.
  • Ouyang J; Cancer Science Institute of Singapore, National University of Singapore, Singapore.
  • Rackham O; National University Cancer Institute, National University Hospital System, Singapore.
  • Tan TZ; NUS Center for Cancer research and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Hwang WYK; Department of Haematology, Singapore General Hospital, Singapore.
  • Chuah C; Cardiovascular & Metabolic Disorders Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Prabhakar S; Cardiovascular & Metabolic Disorders Signature Research Programme, Duke-NUS Medical School, Singapore.
  • Ong ST; School of Biological Sciences, University of Southampton, Southampton, United Kingdom.
Blood ; 141(22): 2738-2755, 2023 06 01.
Article in En | MEDLINE | ID: mdl-36857629
ABSTRACT
Primary resistance to tyrosine kinase inhibitors (TKIs) is a significant barrier to optimal outcomes in chronic myeloid leukemia (CML), but factors contributing to response heterogeneity remain unclear. Using single-cell RNA (scRNA) sequencing, we identified 8 statistically significant features in pretreatment bone marrow, which correlated with either sensitivity (major molecular response or MMR) or extreme resistance to imatinib (eventual blast crisis [BC] transformation). Employing machine-learning, we identified leukemic stem cell (LSC) and natural killer (NK) cell gene expression profiles predicting imatinib response with >80% accuracy, including no 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 < .05), and a 2- to 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 with myeloid progenitors (P < .001). These LSC features were lost with progressive resistance, and MYC- and IRF1-driven inflammatory regulons were evident in patients who progressed to transformation. Patients with MMR also exhibited a 56-fold expansion (P < .01) of a normally rare subset of hyperfunctional adaptive-like NK cells, which diminished with progressive resistance, whereas patients destined for BC accumulated inhibitory NKG2A+ NK cells favoring NK cell tolerance. Finally, we developed antibody panels to validate our scRNA-seq findings. These panels may be useful for prospective studies of primary resistance, and in assessing the contribution of predetermined vs acquired factors in TKI response heterogeneity.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Protein Kinase Inhibitors Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Blood Year: 2023 Type: Article Affiliation country: Singapore

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Leukemia, Myelogenous, Chronic, BCR-ABL Positive / Protein Kinase Inhibitors Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Blood Year: 2023 Type: Article Affiliation country: Singapore