Optimization of immunomagnetic selection of myeloma cells from bone marrow using magnetic activated cell sorting

. 2010 Sep ; 92 (2) : 314-9. [epub] 20100807

Jazyk angličtina Země Japonsko Médium print-electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid20694533

Plasma cells (PCs) enrichment from bone marrow samples of multiple myeloma (MM) patients is frequently performed by immunomagnetic separation (magnetic activated cell sorting, MACS) using anti-CD138 MicroBeads. The aim of our work was to find optimal strategy for immunomagnetic separation of PCs and determine optimal algorithm of separation techniques for samples with various percentage of neoplastic cells. From 2007 to 2008, selection of PCs using separation programs Possels and Posseld(2) was carried out on 234 bone marrow samples obtained from 208 MM patients. In 2008, an optimal algorithm for separation programs was introduced based on the analysis of the previous experiments. The Possels program is applicable for samples with >10% PCs in the mononuclear fraction, while the Posseld(2) program is used for samples with 5-10% PCs in the mononuclear fraction. Median purity of 92.6% for the positive fraction of cells (range 14.5-99.6%) and median recovery of 60.4% (range 25.7-99.5%) were obtained when the Possels program was applied (n = 45). A total of 80% (36/45) of processed samples had purity of >70%. Median purity for the positive fraction of 83.7% (range 14.3-99.7%) and median recovery of 14.3% (range 3.6-50.0%) were achieved using the Posseld(2) program (n = 99). A total of 68% (67/99) of processed samples reached >70% purity. This separation strategy enabled us to obtain sufficient amounts of highly purified PCs required for subsequent research purposes. The MACS method has been unsuccessful if the percentage of PCs in the initial sample was <5%. These samples were processed by fluorescence activated cell sorting (FACS).

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Cytometry. 1990;11(2):231-8 PubMed

Cancer Res. 1995 Sep 1;55(17):3854-9 PubMed

Hematol J. 2003;4(6):379-98 PubMed

Br J Haematol. 1993 Nov;85(3):446-51 PubMed

Ann Hematol. 2001 Feb;80(2):83-9 PubMed

Mech Res Commun. 2009 Jan 1;36(1):92-103 PubMed

Blood. 2004 Mar 15;103(6):2332-6 PubMed

Br J Haematol. 1996 Aug;94(2):318-23 PubMed

Annu Rev Cell Biol. 1992;8:365-93 PubMed

Cancer Epidemiol Biomarkers Prev. 2008 Mar;17(3):666-73 PubMed

J Immunol Methods. 2008 Jan 1;329(1-2):219-24 PubMed

Leukemia. 2009 Dec;23(12):2210-21 PubMed

Br J Haematol. 1998 Mar;100(4):637-46 PubMed

Neoplasma. 2002;49(5):300-6 PubMed

Neoplasma. 2009;56(6):526-32 PubMed

Leuk Lymphoma. 1998 Sep;31(1-2):167-75 PubMed

Cancer Res. 2004 Feb 15;64(4):1546-58 PubMed

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