Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
[Color figure can be viewed at wileyonlinelibrary.com] This issue of Cytometry Part B Clinical Cytometry presents a rather eclectic selection of flow cytometry-related topics. As a very useful opening, Oak et al. (2025) provide detailed information about the way these authors reorganized their workflow with the aim of providing an integrated diagnosis, both for current immunophenotyping (i.e., lymphocyte subsets) or CD34+ cells enumeration, and for the pathologist-dependent management and interpretation of hematological malignancies. These two aspects were previously taken care of by different Beaker platforms, respectively devoted to clinical pathology (CP) and anatomic pathology (AP) (Sergi, 2022; Tan et al., 2017). Integration of these platforms, developed by the broadly used Epic system (Verona, WI) that provides electronic health records, resulted in the new Beaker system presented in this publication. The CP and AP Beaker platforms are no longer separated but belong to the same structure within a paperless workflow. Ultimately, connection to the laboratory information system (LIS) results in a complete report of patient laboratory data. Because of the widespread use of these solutions in US laboratories, this document opens the way to a broad implementation of the proposed algorithms. Of course, each step needs to be customized as not all institutions immunophenotyping facilities use the 30 panels displayed by the authors, and several other idiosyncrasies need to be considered. Nonetheless, in an era where artificial intelligence is providing increasing help for routine or even sophisticated tasks (Ng et al., 2024), optimizing its use by such a workflow will be of great value. This would not only lessen the burden of sample and assays tracing but also accelerate the delivery of laboratory information critical for customized patient management in the clinic. This paper is followed by a report by the Canadian group of Terra et al. (2025) who compared the 2013 standardized Euroflow recommendations (Van Dongen et al., 2012) to a non-standardized approach for the immunophenotyping of hematological malignancies. These authors reanalyzed 43 samples that had been cryopreserved, using Euroflow panels that had not been used initially. Of note, these samples had been tested before current reclassifications of hematological malignancies. For almost half of these samples (47%), a refined diagnosis was obtained, yet this would have led to a different clinical management of the patients in only 3 cases. Interestingly, 5 cases were reclassified as 3 ETP-ALL and 2 typical BPDCN. Nevertheless, this manuscript emphasizes the use of a comprehensive immunophenotypic panel for acute leukemias, as promoted both by Euroflow (van Dongen et al., 2012) and the European LeukemiaNet (Béné et al., 2011). The third original paper of this issue explains how the 10 color ClearLab panel (Hedley et al., 2021) can be helpful in the characterization of paucicellular samples. This issue is indeed critical since morphological analysis, even on samples enriched by centrifugation, often is at a loss in identifying the cellular components of such samples. Here, Kajstura et al. (2025) demonstrate how flow cytometry is highly valuable in such circumstances. Based on the Food and Drug administration approved recommendations of testing 3 × 106 cells (US FDA, 2017), these authors performed dilutions down to 64 fold and show that there is no change in fluorescence intensity and therefore detection of cells of interest. They used highly relevant samples of bone marrow and lymph node suspensions and demonstrated the efficacy of flow cytometry in samples containing as little as 4 × 103 cells per μL. Clear images of CD19+CD5+ monotypic cells from lineage lymphoproliferative disorders are displayed. This manuscript highlights the sometimes forgotten yet long ago demonstrated exquisite specificity of flow cytometry in detecting immunophenotypic normal/abnormal features. Moving along, the fourth original paper (Bonneville et al., 2025) tackles the critical issue of hemodilution. Several solutions have been proposed over many years to take into account the fact that bone marrow aspiration progressively leads to the collection of a more and more hemodiluted sample. Cytomorphologists rightly required long ago to be provided with smears of the first aspirated drops. Furthermore, all disciplines (flow cytometry, cytogenetics and, accountably to a lesser degree, and molecular hematology) claimed that they wanted the “cleanest” first aspiration. In the paper from Bonneville et al., dilution experiments were performed on 3 from 51 samples and demonstrated that the solution proposed by Holdrinet et al. (1980) provides the best evaluation of true bone marrow cell evaluation. This method takes into account both hemoglobin levels and nucleated blood cells. Here, the authors conclude on the superiority of the modified Holdrinet method to properly evaluate bone marrow cell populations, excluding the peripheral blood compartment. In the fifth publication of this issue (Mestrum et al., 2025), the focus moved to bone marrow evaluation of the expression of Bcl2 and KI67 in samples from patients suspected of myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML). Comparing 25 samples of MDS and 25 from AML to 50 normal bone marrow samples obtained through hip surgery, the authors conclude that their work leads to a better understanding of the pathophysiology and progression of MDS and AML and explains the low response rate to chemotherapy of these patients. The increasing cytopenia due to the low proliferative activity seen in AML patients may also explain the high therapy-related mortality and high overall mortality. Whether intranuclear Ki67 and Bcl2 should be incorporated in screening panels remains an open issue. Finally, far away from leukocyte disorders, Souissi et al. (2025), on large cohorts of patients and controls, demonstrated that flow cytometry can readily identify patients with G6PD deficiency with better outputs than molecular assays, based on previously published methods (Kahn et al., 2015). The test is based on the GSPD-dependent transformation of methemoglobin into oxyhemoglobin, the latter being transformed into ferrylhemoglobin, yielding a bright fluorescence upon the addition of hydrogen peroxide. All transformations of hemoglobin are performed for each sample until the assessment of GDPD-normal function resulting in bright fluorescence. In letters to the Editor, Shi et al. (2025) draw attention to the efficient use of both anti-TRBC1 and TRBC2 antibodies to safely characterize clonal T-cell proliferations. These authors tested 100 T-lineage cell proliferations and demonstrated that some dim labeling for TRBC1 is in fact nonspecific, clonal cells expressing TRBC2. Their 11 color combinations (for T-cells or Sezary customized) contain the optimal combination identifying TRBC1 and 2 as well as ©™ T-cell receptors. Proper identification of the TCR beta chain of T-lineage lymphoproliferative disorders is both useful for diagnosis and possibly for therapy in a near future with antibody drug conjugates targeting TRBC1 (Nichakawade et al., 2024). Daniel Mazza Matos (2025) reports four new cases of “vanishing counting beads” (Brando et al., 2001) an unexplained phenomenon occurring for some patients in single platform counting of CD34+ cells in leukapheresis samples. This can be avoided by adding proteins (bovine or human plasma) to the tested sample. This rare event (0.5%) can be suspected by comparing the single platform count to that calculated from the white blood cell count of the leukapheresis bag. The third letter, by Zhang et al. (2025), reports on a rare case of acute myeloid leukemia with a PICALM::MLLT10 fusion gene, PHF6 and NF1 mutations, associated with CD7 expression. The few occurrences of this type of leukemia have been shown to be of poor prognosis, with, as in the reported case, failure of rescue by allogeneic hematopoietic stem cell transplantation. All in all, this highlight issue provides a broad array of flow cytometry applications in various pathological conditions, ensuring fruitful reading.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,003 | 0,008 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle