Characteristic repartition of monocyte subsets as a diagnostic signature of chronic myelomonocytic leukemia.

Chronic myelomonocytic leukemia (CMML) is a myelodysplastic syndrome/ myeloproliferative neoplasm whose diagnosis is currently based on the elevation of peripheral blood monocytes to >1 × 10(9)/L, measured for ≥3 months. Diagnosis can be ambiguous; for example, with prefibrotic myelofibrosis or reactive monocytosis. We set up a multiparameter flow cytometry assay to distinguish CD14(+)/CD16(-) classical from CD14(+)/CD16(+) intermediate and CD14(low)/CD16(+) nonclassical monocyte subsets in peripheral blood mononucleated cells and in total blood samples. Compared with healthy donors and patients with reactive monocytosis or another hematologic malignancy, CMML patients demonstrate a characteristic increase in the fraction of CD14(+)/CD16(-) cells (cutoff value, 94.0%). The associated specificity and sensitivity values were 95.1% and 90.6% in the learning cohort (175 samples) and 94.1% and 91.9% in the validation cohort (307 samples), respectively. The accumulation of classical monocytes, which demonstrate a distinct gene expression pattern, is independent of the mutational background. Importantly, this increase disappears in patients who respond to hypomethylating agents. We conclude that an increase in the fraction of classical monocytes to >94.0% of total monocytes is a highly sensitive and specific diagnostic marker that rapidly and accurately distinguishes CMML from confounding diagnoses.

Spectrum of adult Parvovirus B19 infection according to the underlying predisposing condition and proposals for clinical practice.

The virological diagnosis of Parvovirus B19 (PvB19) infection is currently based on sero-diagnosis, molecular methods or both, yet without clear recommendations. We retrospectively identified patients with polymerase chain reaction-positive PvB19 and/or positive serological assay between 2007 and 2013. Eighty-two adults with at least one diagnostic criterion of recent PvB19 infection (IgM antibodies, viral DNA in blood and/or in marrow) were included and classified into three homogeneous groups: 30 patients had no underlying predisposing condition, 25 a hereditary haemolytic anaemia, 27 an underlying immunodeficiency. The classical PvB19-related manifestations were less frequent in immunocompromised than in immunocompetent patients (arthromyalgia: 5 vs. 14; erythema: 4 vs. 17, respectively). Only 41·4% of patients with no underlying disease were anaemic. Bicytopenia and pancytopenia were observed mainly in immunocompromised patients. Classical pure red cell aplasia was observed in only 9 of the 27 marrow smears performed. Specific IgM were found in 93% of immunocompetent patients, whereas only 58% had detectable viral DNA in blood. IgM and DNA were present alone or together in all patients with hereditary haemolytic anaemia. In immunocompromised patients, the diagnosis was confirmed by marrow analysis in 91% of cases. We make some proposals based on this large series of PvB19-infected patients.

Multicentric study underlining the interest of adding CD5, CD7 and CD56 expression assessment to the flow cytometric Ogata score in myelodysplastic syndromes and myelodysplastic/myeloproliferative neoplasms.

Although numerous recent publications have demonstrated interest in multiparameter flow cytometry in the investigation of myelodysplastic disorders, it is perceived by many laboratory hematologists as difficult and expensive, requiring a high level of expertise. We report a multicentric open real-life study aimed at evaluating the added value of the technically simple flow cytometry score described by the Ogata group for the diagnosis of myelodysplastic syndromes. A total of 652 patients were recruited prospectively in four different centers: 346 myelodysplastic syndromes, 53 myelodysplastic/myeloproliferative neoplasms, and 253 controls. The Ogata score was assessed using CD45 and CD34 staining, with the addition of CD10 and CD19. Moreover, labeling of CD5, CD7 and CD56 for the evaluation of myeloid progenitors and monocytes was tested on a subset of 294 patients. On the whole series, the specificity of Ogata score reached 89%. Respective sensitivities were 54% for low-risk myelodysplastic syndromes, 68% and 84% for type 1 and type 2 refractory anemia with excess of blasts, and 72% for myelodysplastic/myeloproliferative neoplasms. CD5 expression was poorly informative. When adding CD56 or CD7 labeling to the Ogata score, sensitivity rose to 66% for low-risk myelodysplastic syndromes, to 89% for myelodysplastic/myeloproliferative neoplasms and to 97% for refractory anemia with excess of blasts. This large multicenter study confirms the feasibility of Ogata scoring in routine flow cytometry diagnosis but highlights its poor sensitivity in low-risk myelodysplastic syndromes. The addition of CD7 and CD56 in flow cytometry panels improves the sensitivity but more sophisticated panels would be more informative.

Low-dose methotrexate-induced skin toxicity: Keratinocyte dystrophy as a histologic marker.

BACKGROUND: Skin toxicity during low-dose methotrexate therapy is rare, ill described, and reported to have nonspecific histologic characteristics. Thus, misdiagnosis is common in patients with mucosal ulcers and/or skin erosions related to low-dose methotrexate. OBJECTIVE: We sought to describe the features of skin toxicity induced by low-dose methotrexate. METHODS: We evaluated the clinical and histologic features in 5 patients who experienced skin toxicity induced by low-dose methotrexate between 2011 and 2013. RESULTS: All 5 patients had acute mucosal ulcers, 4 had moderately abnormal blood cell counts, and 3 had skin erosions. In 3 patients, methotrexate dosage or dosing-schedule errors were identified. No other contributing factors (eg, renal dysfunction or interacting drugs) were identified. Mucocutaneous biopsy specimens consistently showed multiple dystrophic keratinocytes. LIMITATIONS: We studied only 5 patients and obtained no sensitivity or specificity data on the diagnostic value of keratinocyte dystrophy. CONCLUSION: Keratinocyte dystrophy may help to diagnose skin toxicity of low-dose methotrexate, even in the absence of known risk factors or methotrexate administration errors. Studies of the diagnostic performance of this histologic sign are needed.

Flow cytometry thresholds of myeloperoxidase detection to discriminate between acute lymphoblastic or myeloblastic leukaemia.

The World Health Organization 2008 Classification emphasizes myeloperoxidase (MPO) detection as sufficient for assigning a blast population to the myeloid lineage. Published MPO positivity thresholds are 10% for flow cytometry (FCM) but 3% for cytochemistry. Here we re-evaluated the FCM-MPO threshold by comparing retrospectively 128 acute lymphoblastic leukaemias and 75 acute myeloid leukaemias without maturation, all assessed by benzidine-based cytochemistry. A 13% threshold was found to be relevant using an isotype control as background-reference (sensitivity 95·1%, specificity 91·7%). Residual normal lymphocytes proved to be an advantageous alternative reference, a threshold of 28% yielding improved 97·4% sensitivity and 96·1% specificity.

Anti-CD20 monoclonal antibodies inhibit seropositive response to Covid-19 vaccination in non-Hodgkin lymphoma patients within 6 months after treatment.

The Covid-19 pandemic has caused millions of deaths worldwide. Although vaccines have been developed, patients on immunosuppressive therapy are less likely to respond. This study was aimed at investigating the efficacy of a Covid-19 vaccine (Pfizer-BioNTech) in patients with non-Hodgkin lymphoma treated with anti-CD20 monoclonal antibodies. Only 1 of 28 lymphoma patients (3.6%) developed a seropositive response, compared with 100% (28/28) of the healthy volunteers. The low levels of CD19+ lymphocytes among the lymphoma patients suggest that anti-CD20 treatment prevents the seropositive response to the vaccine. An additional vaccination might be indicated in these patients once B cells are repopulated.

Machine learning identifies the independent role of dysplasia in the prediction of response to chemotherapy in AML.

The independent prognostic impact of specific dysplastic features in acute myeloid leukemia (AML) remains controversial and may vary between genomic subtypes. We apply a machine learning framework to dissect the relative contribution of centrally reviewed dysplastic features and oncogenetics in 190 patients with de novo AML treated in ALFA clinical trials. One hundred and thirty-five (71%) patients achieved complete response after the first induction course (CR). Dysgranulopoiesis, dyserythropoiesis and dysmegakaryopoiesis were assessable in 84%, 83% and 63% patients, respectively. Multi-lineage dysplasia was present in 27% of assessable patients. Micromegakaryocytes (q = 0.01), hypolobulated megakaryocytes (q = 0.08) and hyposegmented granulocytes (q = 0.08) were associated with higher ELN-2017 risk. Using a supervised learning algorithm, the relative importance of morphological variables (34%) for the prediction of CR was higher than demographic (5%), clinical (2%), cytogenetic (25%), molecular (29%), and treatment (5%) variables. Though dysplasias had limited predictive impact on survival, a multivariate logistic regression identified the presence of hypolobulated megakaryocytes (p = 0.014) and micromegakaryocytes (p = 0.035) as predicting lower CR rates, independently of monosomy 7 (p = 0.013), TP53 (p = 0.004), and NPM1 mutations (p = 0.025). Assessment of these specific dysmegakarypoiesis traits, for which we identify a transcriptomic signature, may thus guide treatment allocation in AML.