Minimization of CD34+ cell enumeration variability using the ProCOUNT standardized methodology

Citation
I. Mcniece et al., Minimization of CD34+ cell enumeration variability using the ProCOUNT standardized methodology, J HEMATOTH, 7(6), 1998, pp. 499-504
Citations number
11
Categorie Soggetti
Hematology,"Medical Research Diagnosis & Treatment
Journal title
JOURNAL OF HEMATOTHERAPY
ISSN journal
10616128 → ACNP
Volume
7
Issue
6
Year of publication
1998
Pages
499 - 504
Database
ISI
SICI code
1061-6128(199812)7:6<499:MOCCEV>2.0.ZU;2-Q
Abstract
The dose of cells expressing the surface antigen CD34 (CD34+) has been show n to be a reliable predictor of the time to engraftment following transplan tation of PBPC to support high-dose chemotherapy. However, evaluation of ra re cells is complicated by a number of factors, including the variability i n operator and technical procedures. Recently, Becton Dickinson Immunocytom etry Systems introduced a new CD34+ cell analysis system, the ProCOUNT cell enumeration kit, which automates the analysis of CD34+ cells and minimizes the variabilities of this procedure. We have evaluated the ProCOUNT system in comparison to a standard CD34 cell analysis (based on the Milan approac h) using leukapheresis products from patients and normal donors mobilized w ith chemotherapy plus recombinant human G-CSF (rhG-CSF) or with rhG-CSF alo ne. In addition, we compared these analyses using CD34+ cell-selected mobil ized leukapheresis products with purities of 75% or greater. The standard C D34 cell analysis methodology quantitated the frequency of cells identified as CD45+, low side scatter, and CD34+. A high correlation coefficient was obtained between the ProCOUNT methodology and the standard CD34 cell analys is methodology for cells obtained from leukapheresis products mobilized wit h chemotherapy plus rhG-CSF (r = 0.98), rhG-CSF alone (r = 0.96), and CD34-selected mobilized leukapheresis products (r = 0.83). A comparison was als o made between technicians using both analysis methods. Whereas the correla tion coefficient between two technicians using the standard methodology was r = 0.77, the correlation coefficient was much higher when using ProCOUNT (r = 0.99). These data demonstrate that the use of ProCOUNT is associated w ith less variability between data analyzed by different operators. Also, Pr oCOUNT is consistent with existing CD34+ cellular analysis methodologies. A n additional advantage is the ability to determine the absolute concentrati on of CD34+ cells, thereby allowing calculation of total CD34+ cell numbers without using WBC counts, which also have inherent errors. The ProCOUNT sy stem provides an automated analysis procedure that minimizes the variables in CD34+ cell analysis and may be useful for standardization of methodology between laboratories.