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     Quick Answer



    Bras et al. define flow-cytometric MPO positivity as β‰₯20% of acute leukaemia cells exceeding a lymphocyte-based threshold (780 FIU) on the EuroFlow ALOT, validated in 1,734 multicentre cases (98.9–99.2% of ALL MPO-negative; ~30–33% of AML MPO-negative). The main weakness is the absence of a cytomorphological gold-standard reference, acknowledged by the authors.


     Long Answer



    What the paper establishes

    The study closes a real diagnostic gap: despite flow cytometry's advantages for MPO lineage assignment, no de facto standard definition of MPO positivity existed. Using the standardised EuroFlow Acute Leukaemia Orientation Tube (MPO:FITC, clone MPO-7) and 1,734 AL cases, the authors systematically optimised both the positivity threshold (780 FIU, lymphocyte-based) and the positivity cut-off (β‰₯20% of AL cells), achieving near-optimal AUCs for both ALL-vs-monocyte (0.993) and WHO-NEG-vs-WHO-POS AML (0.946) discrimination.

    Cohort composition and validation design

    The training cohort (DCOG 2010–2015; Erasmus MC 2010–2018: 527 BCP-ALL, 134 T-ALL, 519 AML) and independent five-centre validation cohort (315 BCP-ALL, 56 T-ALL, 154 AML, 29 MPAL) showed near-identical results, supporting assay stability over time, across centres and across two cytometrists.

    Critical appraisal

    • Reference standard gap: Cytomorphological MPO status was not used as ground truth, so the definition is internally optimised against control pairs (ALL vs monocytes; WHO-NEG vs WHO-POS AML) rather than externally validated against an independent gold standard β€” a limitation the authors openly discuss.
    • Circular control selection: WHO-NEG/WHO-POS pairs were not fully MPO-negative/positive (two MPO-positive acute megakaryocytic cases), though temporary exclusion barely changed thresholds β€” reported robustness evidence.
    • Conflict of interest: Five authors hold EuroFlow patents licensed to Cytognos and BD Biosciences with royalty payments β€” a structural incentive favouring the EuroFlow ALOT platform that readers should weigh when assessing the claim that the approach is the missing standard.
    • MPAL reclassification: Six of 29 MPAL cases became MPO-negative under the new definition and were formally reclassified per WHO criteria β€” clinically consequential, showing the definition changes diagnoses, not just labels.
    • Information loss: The binary classifier discards continuous MPO.PPC data; the authors rightly recommend reporting both.

    Overall: a methodologically careful, transparently confessional standardisation study of immediate practical utility for AL diagnostics, whose generality beyond EuroFlow-standardised platforms remains asserted rather than demonstrated. What would change this verdict: an independent multicentre comparison against cytomorphological reference MPO status showing superior or equivalent misclassification rates.



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    Updated: November 13, 2026

     BGPT Paper Review



    Study Novelty

    70%

    First de facto standard definition of MPO positivity for the EuroFlow ALOT; prior studies (e.g. 10–13% cut-offs) were smaller and non-standardised, but the concept of MPO flow cytometry thresholds is not new.



    Scientific Quality

    80%

    Large multicentre cohort, stability checks, continuous threshold evaluation, and transparent limitation discussion; main weaknesses are absent cytomorphological reference, imperfect control purity, and disclosed patent/royalty conflicts for five authors.



    Study Generality

    80%

    MPO positivity definition directly affects WHO lineage assignment and MPAL classification in acute leukaemia broadly, though the specific 780 FIU value is platform/protocol-dependent.



    Study Usefulness

    90%

    Provides an immediately adoptable, reproducible MPO positivity rule that completes the ALOT as a fully standardised MPO status assay, with direct clinical classification impact (six MPAL reclassifications).



    Study Reproducibility

    80%

    EuroFlow protocols are publicly available, thresholds/cut-offs fully specified, stability data in supplementary material; but data and software sharing is not explicitly stated.



    Explanatory Depth

    70%

    Deep empirical characterisation of MPO expression heterogeneity (skewness ~76%, subclones ~5%) and information loss from binarisation, though no mechanistic account of MPO-positive ALL biology.


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     Top Data Sources ExportMCP



     Analysis Wizard



    Simulating expected MPO.PPC distributions for ALL and AML cohorts from reported percentages, and Monte Carlo estimating misclassification risk when the 780 FIU threshold varies Β±20%.



     Hypothesis Graveyard



    Fixed absolute FIU thresholds (e.g. optimised 674/943 FIU) as the best MPO classifier: falsified because they underperformed the lymphocyte-referenced percentage-of-positive-cells statistic across both control pairs.


    Cytomorphology as the reference standard for MPO: rejected due to reported inter-expert variability and poor correlation with flow cytometry, undermining its use to validate any flow-based cut-off.

     Science Art


    Paper Review: Standardised immunophenotypic analysis of myeloperoxidase in acute leukaemia Science Art

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