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Updated: Nov 24, 2025

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Blast size-specific flowcytometric ploidy assessment using FxCycleTM Violet dye and its correlation with conventional
Karthik Bommannan1, Jhansi Rani Arumugam1, Teena Koshy1
1Department of Oncopathology, Cancer Institute (W.I.A.), Chennai, India.
Introduction:
Numerical chromosomal abnormalities (aneuploidies), present in approximately 30%-50% of pediatric precursor B-lineage acute lymphoblastic leukemia (B-ALL) patients, are commonly identified through a laborious conventional cytogenetic (CG) technique. Flow cytometry (FCM) can identify both physical and fluorescent properties of cells together, and by using fluorescent nucleic-acid-binding dyes, FCM can identify variations in total nucleic-acid content of cells. FxCycleTM Violet dye (FxCV) is a selective DNA-binding dye which permits simultaneous multiparametric immunophenotyping and cell-cycle/ploidy assessment in a single assay. To date, only two studies have demonstrated the feasibility of FxCV-aided FCM-ploidy analysis in B-ALL patients and only one of these studies have compared their results with CG-ploidy.
Methodology:
Blast size-specific FCM-ploidy was prospectively analyzed using FxCV-dye in 109 pediatric B-ALL patients, and the results were compared with concurrent CG-ploidy status.
Results:
FCM-ploidy categorization was feasible in 98% of samples tested and the results were 82% concordant with CG-ploidy status. We observed significant correlation between DNA content and blast size (r = .823, P < .001) and could demonstrate size differences between diploid vs low-hyperdiploid (P = .025), diploid vs high-hyperdiploid (P < .001) and low- vs high-hyperdiploid blasts (P = .007).
Conclusion:
FCM-ploidy assessment using FxCV dye is a reliable assay and the results closely concur with CG-based ploidy stratification and risk assessment. Using blast size-assisted DNA content analysis, the results of FCM-ploidy analysis can be further fine-tuned.
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