Initial assessment of α-synuclein structure in platelets.

Over the last few years data from our group have indicated that α-synuclein is important in development of immune cells as well as potentially erythrocytes and platelets. The latter is important since this protein may work as negative regulator of granule release. Thus, we sought to begin to understand the structure of this protein in platelets. Flow cytometric analysis of this protein using region-specific (N-terminus, central region and C-terminus) monoclonal antibodies was performed. Antibody to the central region gave the strongest shift among all three antibodies, with the C-terminus having intermediate shift and N-terminus minimal shift. Western blotting using the same antibodies showed similar binding of all antibodies to α-synuclein. These results suggest a similar arrangement of this protein in platelets as seen in neurons. Future studies ought to look at the role that each protein region plays in platelets.

CD177 Enhances the Detection of Myelodysplastic Syndrome by Flow Cytometry.

OBJECTIVES: Previously we demonstrated that a decreased percentage of CD177-positive granulocytes detected by flow cytometry (FCM) was associated with myelodysplastic syndrome (MDS). Here we expand on those findings to more rigorously evaluate the utility of CD177 for the detection of MDS. METHODS: Two hundred patient samples (100 MDS and 100 controls) were evaluated for granulocyte expression of CD177 and 11 other flow cytometric parameters known to be associated with MDS. RESULTS: We show that CD177, as a single analyte, is highly correlated with MDS with a receiver operating characteristic area under curve value of 0.8. CD177 expression below 30% demonstrated a sensitivity of 51% and a specificity of 94% for detecting MDS with a positive predictive value of 89.5%. In multivariate analysis of 12 MDS-associated FCM metrics, CD177 and the Ogata parameters were significant indicators of MDS, and CD177 increased sensitivity of the Ogata score by 16% (63%-79%) for predicting MDS. Finally, diagnostic criteria incorporating these parameters with a 1% blast cutoff level and CD177 resulted in a sensitivity of 90% and specificity of 91% for detecting MDS. CONCLUSIONS: The findings indicate CD177 is a useful FCM marker for MDS.

Juvenile myelomonocytic leukemia with prominent CD141+ myeloid dendritic cell differentiation.

Myeloid malignancies showing CD141+ myeloid dendritic cell (MDC) differentiation have not been documented. Here, we describe a patient with juvenile myelomonocytic leukemia in which a prominent CD141+ cell population was identified most consistent with CD141+ MDCs based on phenotypic similarity with normal CD141+ MDCs. Molecular studies demonstrated a KRAS mutation. The findings from the spleen and bone marrow are described. This is the first well-documented demonstration of CD141+ MDC differentiation of a hematopoietic neoplasm.

CD1c(+) myeloid dendritic cells in myeloid neoplasia.

We determined the normal level and phenotype of CD1c(+) myeloid dendritic cells (MDCs) in blood and bone marrow and evaluated the level of CD1c(+) MDCs in 295 myeloid neoplasms. CD1c(+) MDCs were increased above the mean level of non-neoplastic hospital controls in 18.0% (53/295) of myeloid malignancies, increased three standard deviations above the control mean in 14.2% (42/295) with a 10-fold or more increase compared to mean in 6.8% (20/295). Increased CD1c(+) MDCs were associated with chronic myelomonocytic leukemia (CMML) (12/24, 50%) and acute myeloid leukemia (AML) (31/140, 22%) with a strong association with AML with the inv(16) cytogenetic abnormality. The cells were not increased in chronic myelogenous leukemia (CML) and rarely increased in non-CML myeloproliferative neoplasms (MPN) and myelodysplastic syndromes (MDS). Immunohistochemical staining of cases with increased CD1c(+) MDCs did not reveal clustering of the cells unlike that observed with myeloid neoplasms associated with increased plasmacytoid dendritic cells. Our findings indicate CD1c(+) MDC elevations are not uncommon in myeloid leukemias and are associated with CMML and AML, particularly AML with inv(16). © 2015 International Clinical Cytometry Society.