Chronic myeloid leukemia: a type of MPN

Samad, Muhammad Ammar; Mahboob, Eman; Mansoor, Hussain

doi:10.5045/br.2022.2021173

Cited by 2 publications

(1 citation statement)

References 54 publications

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“…CML has an annual age-standardized incidence rate of 0.75/100,000 cases globally 3,4 . CML is characterized by monoclonal neoplastic proliferation of hematopoietic stem cells at each stage of blood cell maturation 5 , mainly in granulocytes. CML progresses through chronic, accelerated, and blastic phases; tyrosine kinase inhibitors (TKIs) are the primary treatment strategy for this condition 6 .…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence Enables the Label-Free Identification of Chronic Myeloid Leukemia Cells with Mitochondrial Morphological Alterations

Suzuki

Watanabe

Torii

et al. 2023

Preprint

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Long-term tyrosine kinase inhibitor (TKI) treatment for patients with chronic myeloid leukemia (CML) causes various adverse events. Achieving a deep molecular response (DMR) is necessary for discontinuing TKIs and attaining treatment-free remission. Thus, early diagnosis is crucial as a lower DMR achievement rate has been reported in high-risk patients. Therefore, we attempted to identify CML cells using a novel technology that combines artificial intelligence (AI) with flow cytometry and investigated the basis for AI-mediated identification. Our findings indicate thatBCR-ABL1-transduced cells and leukocytes from patients with CML showed significantly fragmented mitochondria and decreased mitochondrial membrane potential. Additionally,BCR-ABL1enhanced the phosphorylation of Drp1 via the mitogen-activated protein kinase pathway, inducing mitochondrial fragmentation. Finally, the AI identified cell line models and patient leukocytes that showed mitochondrial morphological changes. Our study suggested that this AI-based technology enables the highly sensitive detection ofBCR-ABL1-positive cells and early diagnosis of CML.

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