{"title":"Acquisition of SETBP1 Mutation During Transformation of Mature Plasmacytoid Dendritic Cell Proliferation to Blastic Plasmacytoid Dendritic Cell Neoplasm in Chronic Myelomonocytic Leukemia","authors":"Mark Anthony Turingan, Cuihong Wei, Hong Chang","doi":"10.1111/ijlh.14475","DOIUrl":"10.1111/ijlh.14475","url":null,"abstract":"","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"756-759"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Overestimation of Automated Platelet Counts by Blast Fragments in Acute Hypercellular Leukemias: A Retrospective Study Comparing Impedance, Optical (PLT-O), Fluorescent (PLT-F), and CD41/CD61 Flow Cytometry Methods","authors":"Victor Bobée, Romain Ravel-Chapuis, Maïssa Souissi, Catherine Boutet, Dany Bigot, Cédric Paquin, Jorel Gruchet, Virginie Barbay, Vincent Camus, Elsa Bera, Sylvie Daliphard","doi":"10.1111/ijlh.14464","DOIUrl":"10.1111/ijlh.14464","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Acute leukemias with hyperleukocytosis (> 100 × 10<sup>9</sup>/L) can produce cytoplasmic blast fragments that interfere with platelet counts, notably in impedance-based methods, potentially masking severe thrombocytopenia and increasing hemorrhagic risk. While fluorescent platelet counting (PLT-F) is promoted as platelet-specific, its accuracy in the presence of blast fragments remains uncertain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This retrospective study analyzed 269 blood samples from 87 patients with hypercellular acute leukemia. Blast fragments were identified on blood smears. Platelet counts by impedance were compared to optical (PLT-O) and fluorescent (PLT-F) methods when available. Flow cytometry (FC) quantification by CD41+/CD61+ staining was performed in selected cases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Blast fragments were observed in 26% of cases, predominantly in AML-M5 and AML-M1 subtypes. In the absence of blast fragments, PLT-I, PLT-O, and PLT-F showed comparable results. However, in samples with blast fragments, PLT-I frequently overestimated platelet counts compared to PLT-O and PLT-F. PLT-F counts were closer to FC quantification but still overestimated platelet numbers in 6 of 16 samples with FC results, particularly in cases of severe leukocytosis. Notably, PLT-F failed to trigger abnormal scattergram flags in all but one of the discrepant cases. PLT-O provided results comparable to PLT-F in most cases with blast fragments but also demonstrated limitations in select cases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>PLT-O and PLT-F methods both have limitations in hypercellular acute leukemias with blast fragments. FC remains the most reliable approach when blast fragments are present. Routine blood smear evaluations are essential for detecting interferences and ensuring accurate thrombocytopenia assessment in these high-risk patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"622-631"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijlh.14464","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Madeleen Bosma, Richard M. Noordervliet, Mercedeh Tajdar, Christine van Laer
{"title":"Verification of an Algorithm for Detection of Unstable Haemoglobin Variants With Sysmex XN-10 Yielded a High Degree of False Positives","authors":"Madeleen Bosma, Richard M. Noordervliet, Mercedeh Tajdar, Christine van Laer","doi":"10.1111/ijlh.14467","DOIUrl":"10.1111/ijlh.14467","url":null,"abstract":"","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"748-749"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CD200 Expression by CD4+ T Cells Using Flow Cytometry as a Valuable Marker for Distinguishing Hodgkin Lymphoma From Inflammatory Conditions","authors":"Valentin Pourchet, Radu Chiriac, Lucile Baseggio","doi":"10.1111/ijlh.14471","DOIUrl":"10.1111/ijlh.14471","url":null,"abstract":"","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"750-755"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High Expression of SPAG6 Acts as a Pro-Tumor Factor and Associated With Poor Prognosis in Acute Myeloid Leukemia","authors":"Jie Luo, Haiqiu Zhao, Xiaoyan Zang, Lin Liu","doi":"10.1111/ijlh.14457","DOIUrl":"10.1111/ijlh.14457","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Acute myeloid leukemia (AML) is a malignant hematological disease that has shown an increased prevalence in recent years. Despite advancements in treatment, significant limitations remain. Therefore, more information about AML mechanisms is essential to improve therapeutic strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>RT-qPCR, IHC, and western blot were used to analyze SPAG6 expression levels. The association between SPAG6 expression and patient survival was evaluated using LeukemiaDB, GEPIA, and Bloodspot databases. Cell viability was detected by CCK-8 assay. Flow cytometry was applied to measure cell apoptosis and cell cycle.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Database analysis revealed elevated SPAG6 expression in AML. Subsequent RT-qPCR confirmed high SPAG6 expression in AML, MDS, MPN, and ALL samples. Clinical data analysis demonstrated a positive correlation between SPAG6 expression and risk stratification in AML patients. Notably, it was found that the overall survival time of AML patients with high SPAG6 expression was shorter than that of patients with low SPAG6 expression. Moreover, SPAG6 knockdown in the AML cell line HL60 promoted apoptosis and arrested the cell cycle in the G1 phase.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Therefore, we believe that SPAG6 may be a pro-tumor factor in AML.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"680-689"},"PeriodicalIF":2.2,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sara Sacchetti, Matteo Bellia, Matteo Vidali, Valentina Zanotti, Luca Giacomini, Gianluca Gaidano, Andrea Patriarca, Umberto Dianzani, Roberta Rolla
{"title":"Comparative Analysis of the Performance of Automated Digital Cell Morphology Analyzers for Leukocyte Differentiation in Hematologic Malignancies: Mindray MC-80 Versus West Medical Vision Hema","authors":"Sara Sacchetti, Matteo Bellia, Matteo Vidali, Valentina Zanotti, Luca Giacomini, Gianluca Gaidano, Andrea Patriarca, Umberto Dianzani, Roberta Rolla","doi":"10.1111/ijlh.14470","DOIUrl":"10.1111/ijlh.14470","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The use of artificial intelligence in hematology laboratories has improved the diagnostic evaluation of peripheral blood cells. The aim of this study is to compare the performance of two automated digital cell morphology analyzers, the Mindray MC-80 and the West Medical Vision Hema Pro, with manual microscopy, the gold standard, for leukocyte differentiation in patients with hematologic malignancies and infections.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Peripheral blood smears from 75 patients were analyzed, including cases of acute lymphoblastic leukemia (ALL, 4), chronic lymphocytic leukemia (CLL, 20), acute myeloid leukemia (AML, 20), chronic myeloid leukemia (CML, 5), other lymphoproliferative disorders (LPD, 20), and infections (6). The agreement between microscopy, Vision Hema, and MC-80 was assessed by Bland–Altman analysis for eight leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Vision Hema demonstrated better agreement with manual microscopy for eight normally expected leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes), whereas MC-80 exhibited greater biases, particularly in lymphocytes, basophils, and immature granulocytes. For pathologic cells, VH significantly overestimated blasts, while MC-80 classified them more accurately, showing better agreement with manual microscopy in acute leukemias. Additionally, MC-80 showed potential clinical value in detecting abnormal lymphocytes and promyelocytes, which may be relevant for hematologic malignancies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Vision Hema provides more reliable classification of normally expected leukocyte populations, while MC-80 shows advantages in detecting abnormal cells, particularly in hematologic malignancies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"643-650"},"PeriodicalIF":2.2,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143732952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huub H. van Rossum, Jean-Marc Giannoli, Tony Badrick
{"title":"Patient Moving Average for Continuous Real-Time QC; Real-World Application Illustrated","authors":"Huub H. van Rossum, Jean-Marc Giannoli, Tony Badrick","doi":"10.1111/ijlh.14462","DOIUrl":"10.1111/ijlh.14462","url":null,"abstract":"","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 3","pages":"570-573"},"PeriodicalIF":2.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benedict Schwarz, Christopher Hardt, Katharina Friedrich, Monika Prpic, Anja Osterloh, Frank L. Heppner, Klemens Ruprecht, Kai Kappert, Amir Jahic
{"title":"Sysmex XN-Based Evaluation of the Diagnostic Performance of High-Fluorescent Cells From CSF as a Supportive Diagnostic Criterion in Neurological Diseases","authors":"Benedict Schwarz, Christopher Hardt, Katharina Friedrich, Monika Prpic, Anja Osterloh, Frank L. Heppner, Klemens Ruprecht, Kai Kappert, Amir Jahic","doi":"10.1111/ijlh.14466","DOIUrl":"10.1111/ijlh.14466","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Automatic cytological analysis of cerebrospinal fluid (CSF) by Sysmex XN-Series represents a convenient laboratory platform for quantitative examination of nucleated CSF cells (monomorphonuclear (MN), polymorphonuclear (PMN), high-fluorescent (HF)). HF cells (HFC), a research laboratory parameter so far, seem to be associated with certain clinical patterns. Hence, we aimed to determine the diagnostic HFC value for different clinical categories in neurological settings.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Morphological classification of automatically detected HFC was carried out using manual light microscopy. Automatic method precision for cell differentiation was evaluated in comparison. In 284 cases, multiple correlation strategies and mathematical disease modellings enabled an explorative analysis of HFC suitability for case stratification into the categories Hemorrhage, Inflammation, Neoplasia, other, and unknown.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Manual microscopic reevaluation revealed plasma cells, macrophages, and malignant cells being HFC correlates in 80% of automatically detected HFC. Method correlation for automatic and manual CSF cell differentiation approaches was 95%, yielding a negative bias of 4.3% for MN and positive bias of 0.4% and 3.9% for PMN and HF, respectively. When HFC were used as a “stand-alone” predicting tool, diagnostic accuracy, specificity, and sensitivity depended on the clinical condition, ranging from > 0.5 up to > 0.7 for Hemorrhage, Inflammation, and Neoplasia. However, multiparametric correlation analyses combining laboratory CSF diagnostics and mathematical methods defined HFC as a relevant laboratory parameter for adequate clinical case stratification. With an expected random distribution of 25% for four clinical categories, almost 70% of cases were correctly classified when the HFC-based mathematical algorithm was applied.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>HFC has significant diagnostic and/or predictive value for neurological diseases.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"47 4","pages":"632-642"},"PeriodicalIF":2.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijlh.14466","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}