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BM Samples (bm + sample)

Distribution by Scientific Domains

Medical Sciences	50%

Selected Abstracts

Four- and five-color flow cytometry analysis of leukocyte differentiation pathways in normal bone marrow: A reference document based on a systematic approach by the GTLLF and GEIL,,

CYTOMETRY, Issue 1 2010
Christine Arnoulet
Abstract Background: The development of multiparameter flow cytometry (FCM) and increasingly sophisticated analysis software has considerably improved the exploration of hematological disorders. These tools have been widely applied in leukaemias, lymphomas, and myelodysplasias, yet with very heterogeneous approaches. Consequently, there is no extensive reference document reporting on the characteristics of normal human bone marrow (BM) in multiparameter FCM. Here, we report a reference analysis procedure using relevant antibody combinations in normal human BM. Methods: A first panel of 23 antibodies, constructed after literature review, was tested in four-color combinations (including CD45 in each) on 30 samples of BM. After evaluation of the data, a second set of 22 antibodies was further applied to another 35 BM samples. All list-modes from the 65 bone marrow samples were reviewed collectively. A systematised protocol for data analysis was established including biparametric representations and color codes for the three major lineages and undifferentiated cells. Results: This strategy has allowed to obtain a reference atlas of relevant patterns of differentiation antigens expression in normal human BM that is available within the European LeukemiaNet. This manuscript describes how this atlas was constructed. Conclusions: Both the strategy and atlas could prove very useful as a reference of normality, for the determination of leukemia-associated immunophenotypic patterns, analysis of myelodysplasia and, ultimately, investigation of minimal residual disease in the BM. © 2009 Clinical Cytometry Society [source]

Unsupervised immunophenotypic profiling of chronic lymphocytic leukemia

CYTOMETRY, Issue 3 2006
Luzette K. Habib
Abstract Background Proteomics and functional genomics have revolutionized approaches to disease classification. Like proteomics, flow cytometry (FCM) assesses concurrent expression of many proteins, with the advantage of using intact cells that may be differentially selected during analysis. However, FCM has generally been used for incremental marker validation or construction of predictive models based on known patterns, rather than as a tool for unsupervised class discovery. We undertook a retrospective analysis of clinical FCM data to assess the feasibility of a cell-based proteomic approach to FCM by unsupervised cluster analysis. Methods Multicolor FCM data on peripheral blood (PB) and bone marrow (BM) lymphocytes from 140 consecutive patients with B-cell chronic lymphoproliferative disorders (LPDs), including 81 chronic lymphocytic leukemia (CLLs), were studied. Expression was normalized for CD19 totals, and recorded for 10 additional B-cell markers. Data were subjected to hierarchical cluster analysis using complete linkage by Pearson's correlation. Analysis of CLL in PB samples (n = 63) discovered three major clusters. One cluster (14 patients) was skewed toward "atypical" CLL and was characterized by high CD20, CD22, FMC7, and light chain, and low CD23. The remaining two clusters consisted almost entirely (48/49) of cases recorded as typical BCLL. The smaller "typical" BCLL cluster differed from the larger cluster by high CD38 (P = 0.001), low CD20 (P = 0.001), and low CD23 (P = 0.016). These two typical BCLL clusters showed a trend toward a difference in survival (P = 0.1090). Statistically significant cluster stability was demonstrated by expanding the dataset to include BM samples, and by using a method of random sampling with replacement. Conclusions This study supports the concept that unsupervised immunophenotypic profiling of FCM data can yield reproducible subtypes of lymphoma/chronic leukemia. Expanded studies are warranted in the use of FCM as an unsupervised class discovery tool, akin to other proteomic methods, rather than as a validation tool. © 2006 International Society for Analytical Cytology [source]

Frequency and prognostic relevance of cyclin D1 dysregulation in multiple myeloma

EUROPEAN JOURNAL OF HAEMATOLOGY, Issue 5-6 2001
Thomas Rasmussen
Abstract:Objective: Cyclin D1 dysregulation has been found with varying frequencies in multiple myeloma (MM) and has been suggested to be associated with a poor prognosis. The aim of this study was to investigate the frequency of cyclin D1 dysregulation in patients being treated for MM and to test whether cyclin D1 dysregulation is a prognostic factor for MM patients. Methods: To achieve the above aims we designed a highly sensitive and reproducible real-time reverse-transcription polymerase chain reaction (RT-PCR) assay for quantitation of cyclin D1 mRNA. Using this assay, 110 diagnostic bone marrow (BM) samples from patients with MM were screened for cyclin D1 dysfuntion. Results: The real-time assay was able to detect the presence of 0.01% cyclin D1 positive cells allowing a safe detection in MM BM samples. In 42% (46/110) of MM BM samples a ,,3-fold increase in cyclin D1 mRNA was observed compared to the cyclin D1 level in normal BM. In the remaining group of MM patients the cyclin D1 mRNA levels were comparable to normal donors. Follow-up of 76 MM patients showed no significant (P = 0.35) difference in survival between cyclin D1 positive and negative MM patients. In addition, cyclin D1 dysregulation did not correlate with known prognostic factors. Conclusion: The developed real-time RT-PCR assay for detection of cyclin D1 mRNA levels offers a fast and safe screening for cyclin D1 dysfunction. When a large cohort of MM patients was screened, the cyclin D1 gene was found to be frequently dysregulated, but there was no significant correlation to survival or known prognostic parameters. [source]

Transcriptosome and serum cytokine profiling of an atypical case of myelodysplastic syndrome with progression to acute myelogenous leukemia

AMERICAN JOURNAL OF HEMATOLOGY, Issue 10 2006
Daruka Mahadevan
Abstract A Native American-Indian female presenting with anemia and thrombocytosis was diagnosed with myelodysplastic syndrome (MDS, refractory anemia). Over the course of 5 years she developed cytopenias and periods of leukocytosis with normal bone marrow (BM) blast counts, features of an unclassifiable MDS/MPS syndrome. The patient ultimately progressed to acute myelogenous leukemia (AML, FAB M2) and had a normal karyotype throughout her course. The episodes of leukocytosis were associated with infectious complications. Transformation to AML was characterized by a BM blast percentage of 49%. Peripheral blood and BM samples were obtained for serum protein analysis and gene expression profiling (GEP) to elucidate her disease process. An ELISA assay of the serum analyzed ,80 cytokines, which demonstrated that hepatocyte growth factor/scatter factor and insulin-like growth factor binding protein 1 were markedly elevated compared to normal. GEP demonstrated a unique "tumor molecular profile," which included overexpression of oncogenes (HOXA9, N-MYC, KOC1), proliferative genes (PAWR, DLG5, AKR1C3), invasion/metastatic genes (FN1, N-CAM-1, ITGB5), pro-angiogenesis genes (c-Kit), and down regulation of tumor suppressor genes (SUI1, BARD1) and anti-apoptotic genes (PGLYRP, SERPINB2, MPO). Hence, a biomics approach has provided insight into elucidating disease mechanisms, molecular prognostic factors, and discovery of novel targets for therapeutic intervention. Am. J. Hematol., 2006. © 2006 Wiley-Liss, Inc. [source]