Background The role of CD200 in the differential diagnosis of chronic lymphocytic leukemia (CLL) and classical mantle cell lymphoma (MCL) is well established. Its role in the differential diagnosis of CLL and other lymphoproliferative disorders (LPD) is less clear, in particular its positive predictive value (PPV). Materials and methods We conducted a systematic review of the use of CD200 in the differential diagnosis of CLL, MCL, and other predominantly leukemic, typically CD103‐negative LPD. With the results, we then derived a curve to determine the PPV based on the prevalence of the disorders included in the differential diagnosis. Results Of 43 publications screened, 27 were included in the systematic review (5,764 patients). The median CD200 positivity rate in all studies and the percentage of CD200‐positive (pooled) patients was 100% and 95% (3,061/3,208) in CLL, 4 and 8% (86/1112) in MCL and 56 and 62% (425/689) in other LPD. Conclusion CD200 is suboptimal for the differential diagnosis of CLL and disorders other than nodal MCL.

Efficiency and accuracy in automated hematology analyzers are very important for clinical laboratories. The purpose was to evaluate the flags and results reported by the newest Beckman Coulter analyzer DxH 900 compared to the Sysmex XN20 system. Samples were analyzed on the XN20 (Sysmex, Kobe, Japan) and on the Beckman Coulter DxH 900 (Beckman Coulter, Miami, Florida, USA). Slide reviews were performed microscopically. Morphologic criteria were used to identify abnormal cells as recommended by International Consensus Group for Hematology (ICSH): blasts, immature granulocytes (IG%), abnormal lymphocytes (ALs) and plasma cells. Results: there was a strong correlation between the analyzers in almost all clinical parameters tested. Both DxH 900 and XN20 showed an excellent degree of association for the leukocyte differential compared to the reference method (manual microscopy). When it comes to IG%, XN20 showed a positive bias for higher results. Related to platelets, there are no differences between the two methods for PLT count. For mean platelet volume (MPV), DxH 900 provided 100% results of the samples analyzed while XN20 while in the XN20 analyzer, 16% of the results were missing. From our results we came to the conclusion that both analyzers, DxH 900 and XN20 were clinically accurate and efficient. Abnormal Lymphocyte detection highlighted the differences between the two technologies as only minimal agreement was obtained. DxH 900 demonstrated higher sensitivity in detecting IG with good correlation with microscopic review. The DxH 900 for platelet clumps identification provides an excellent flag (PLT Clumps) with the highest sensitivity observed in our evaluation.

The phenotypic repercussion of ZDHHC15 haploinsufficiency is not well-known. This gene was initially suggested as a candidate for X-linked mental retardation, but such an association was later questioned. We studied a multiplex family with three members with autism spectrum disorder (ASD) by array CGH, karyotype, exome sequencing and X-chromosome inactivation patterns. Medical history interviews, cognitive and physical examinations, and sensory profiling were also assessed. The three family members with ASD (with normal cognitive abilities and an abnormal sensory profile) were the only carriers of a 1.7 Mb deletion in the long arm of chromosome X, involving: ZDHHC15, MAGEE2, PBDC1, MAGEE1, MIR384 and MIR325. The normal chromosome X was preferentially inactivated in female carriers, and the whole exome sequencing of an affected family member did not reveal any additional genetic variant that could explain the phenotype. Thus, in the present family, ASD segregates with a deletion on chromosome X that includes ZDHHC15. Considering our results together with gene data (regarding function, expression, conservation and animal/ cellular models), ZDHHC15 is a candidate gene for ASD. Emerging evidence also suggests that this gene could be associated with other neurodevelopmental disorders, with incomplete penetrance and variable expressivity.

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