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Distinguishing myelofibrosis from polycythemia vera and essential thrombocythemia: The utility of enumerating circulating stem cells with aberrant hMICL expression by flow cytometry.
INTRODUCTION: Diagnosing BCR-ABL negative myeloproliferative neoplasms (MPN) may be challenging due to overlapping features and lack of robust discriminatory parameters, especially between essential thrombocythemia (ET) and prefibrotic myelofibrosis (MF). Circulating immature hematopoietic cells are variably present in polycythemia vera (PV), ET, and MF. The C-type lectin hMICL is aberrantly expressed on hematopoietic stem cells in the majority of acute myeloid leukemia patients. However, the hMICL expression in MPN, having varying propensity of leukemic transformation, is unsettled. We hypothesized that enumeration of immature cells by flow cytometry (FCM) could be a discriminatory tool in MPN diagnostics.
METHODS: By FCM, we quantified circulating stem cells with aberrant hMICL expression in 39 MPN patients, 10 age-matched controls, and in leukapheresis products from 10 patients with lymphoproliferative neoplasms. The utility of the FCM assay for discriminating MPN entities was evaluated by applying ROC curve analysis.
RESULTS: While hMICL was absent in control samples, MF patients had significantly more hMICL+ stem cells (median 15.2%) than PV and ET (0.0%, P = .001 and 0.0%, P = .002, respectively). By ROC curve analysis, the presence of hMICL+ stem cells (>0 cells) in peripheral blood reliably discriminates MF from ET and PV with a sensitivity of 80% and a specificity of 97%.
CONCLUSION: Enumeration of circulating hMICL+ stem cells by FCM can discriminate between MPN phenotypes and holds potential for monitoring disease evolution.
METHODS: By FCM, we quantified circulating stem cells with aberrant hMICL expression in 39 MPN patients, 10 age-matched controls, and in leukapheresis products from 10 patients with lymphoproliferative neoplasms. The utility of the FCM assay for discriminating MPN entities was evaluated by applying ROC curve analysis.
RESULTS: While hMICL was absent in control samples, MF patients had significantly more hMICL+ stem cells (median 15.2%) than PV and ET (0.0%, P = .001 and 0.0%, P = .002, respectively). By ROC curve analysis, the presence of hMICL+ stem cells (>0 cells) in peripheral blood reliably discriminates MF from ET and PV with a sensitivity of 80% and a specificity of 97%.
CONCLUSION: Enumeration of circulating hMICL+ stem cells by FCM can discriminate between MPN phenotypes and holds potential for monitoring disease evolution.
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