Publications by authors named "V Bardet"

Prognosis of acute myeloid leukemia (AML) remains poor especially in older patients who are ineligible for standard chemotherapy or have refractory disease. Here, we study the potential of Peroxisome Proliferator-Activated Receptor (PPAR)-γ agonist pioglitazone to improve the treatment of AML. We show that pioglitazone exerts an anti-proliferative and anti-clonogenic effect on AML cell lines KG-1a, MOLM-14 and OCI-AML3 and on primary cultures from AML patients.

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The diagnosis of myelodysplastic syndromes (MDS) might be challenging and relies on the convergence of cytological, cytogenetic, and molecular factors. Multiparametric flow cytometry (MFC) helps diagnose MDS, especially when other features do not contribute to the decision-making process, but its usefulness remains underestimated, mostly due to a lack of standardization of cytometers. We present here an innovative model integrating artificial intelligence (AI) with MFC to improve the diagnosis and the classification of MDS.

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Background: Myelodysplastic syndromes (MDS) are clonal hematopoietic diseases of the elderly characterized by chronic cytopenias, ineffective and dysplastic haematopoiesis, recurrent genetic abnormalities and increased risk of progression to acute myeloid leukemia. A challenge of routine laboratory Complete Blood Counts (CBC) is to correctly identify MDS patients while simultaneously avoiding excess smear reviews. To optimize smear review, the latest generations of hematology analyzers provide new cell population data (CPD) parameters with an increased ability to screen MDS, among which the previously described MDS-CBC Score, based on Absolute Neutrophil Count (ANC), structural neutrophil dispersion (Ne-WX) and mean corpuscular volume (MCV).

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