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Updated: Jan 17, 2026

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
Granulocyte abundance and maturation state at diagnosis predicts treatment-free remission in CML
Mikko Purhonen1,2,3, Mikael Tatun1,2,3, Katariina Luukkainen1,2,3
1Hematoscope Lab, Comprehensive Cancer Center, Helsinki University Hospital, Helsinki, Finland.
Abstract:
Treatment-free remission (TFR) has become a therapeutic objective for selected chronic-phase chronic myeloid leukemia (CP CML). However, no standardized biomarker is yet in clinical use. In this multi-center study, we explored the potential of bone marrow (BM) cytomorphology given its global accessibility and integral role in clinical diagnostics. We included diagnostic BM aspirate samples of 113 CP CML patients from seven clinical sites having attempted first TKI discontinuation. We digitized cytomorphological slides into 100x-magnified high-resolution images and analyzed these with deep learning-based image analysis. We profiled the BM cytomorphological fingerprint of CP CML patients and recapitulated the known granulocytic predominance and reduction of lymphoid, monocytic and erythroid cells in comparison to an extensive cohort of 942 control BM samples. We discovered neutrophil abundance and granulocytic maturation to associate with sustained TFR. We confirmed these visually and demonstrated their independent impact over known clinical factors. Our study underlines the potential of computational BM cytomorphology to identify novel clinical biomarkers and suggests that granulocytic expansion and maturation at diagnosis could reflect intrinsic disease pathology influencing TFR maintenance.
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