BACKGROUND AND OBJECTIVES: The percentages of CD34+ cells in the bone marrow of patients with acute myeloid leukemia (AML) vary widely. Especially in the low range (<5% CD34+ cells), the nature (normal or malignant) of the CD34+ cells is uncertain. Since only in a minority of cases are molecular techniques applicable, in this study we explored a multiparameter approach using phenotypic and functional characteristics to discriminate normal CD34+ cells from malignant ones. DESIGN AND METHODS: CD34+ cells from 24 AML patients with <5% CD34+ cells and from 3 patients with >50% CD34+ cells were studied immunophenotypically for aberrant phenotypes, CD133 and CD90 expression and for P-glycoprotein activity. RESULTS: In the low (0.02-0.7%) CD34+ range, our approach offered strong evidence for a normal origin of the CD34+ cells in 18/19 cases, which was confirmed by interphase fluorescent in situ hybridization on sorted CD34+ cells in 3 cases, which had concomitant presence of cytogenetic abnormalities in the CD34- blasts. In contrast, in the intermediate (1.6-3.5%) CD34+ range, the CD34+ cells appeared as normal in only 1/5 cases. In the high (51-67%) CD34+ range, as expected the majority of CD34+ cells were malignant, although in 2/3 cases a small subpopulation (i.e. 0.15% and 0.20%) of CD34+ cells were of normal origin. INTERPRETATION AND CONCLUSIONS: Our multiparameter approach enabled us to define the nature of CD34+ cells in AML. This has implications for studies dealing with the characterization of primitive malignant cells. Moreover, it enabled identification of truly CD34 negative AML, which would be eligible for CD34-based immunological purging of autologous stem cell transplants.
BACKGROUND AND OBJECTIVES: The percentages of CD34+ cells in the bone marrow of patients with acute myeloid leukemia (AML) vary widely. Especially in the low range (<5% CD34+ cells), the nature (normal or malignant) of the CD34+ cells is uncertain. Since only in a minority of cases are molecular techniques applicable, in this study we explored a multiparameter approach using phenotypic and functional characteristics to discriminate normal CD34+ cells from malignant ones. DESIGN AND METHODS: CD34+ cells from 24 AMLpatients with <5% CD34+ cells and from 3 patients with >50% CD34+ cells were studied immunophenotypically for aberrant phenotypes, CD133 and CD90 expression and for P-glycoprotein activity. RESULTS: In the low (0.02-0.7%) CD34+ range, our approach offered strong evidence for a normal origin of the CD34+ cells in 18/19 cases, which was confirmed by interphase fluorescent in situ hybridization on sorted CD34+ cells in 3 cases, which had concomitant presence of cytogenetic abnormalities in the CD34- blasts. In contrast, in the intermediate (1.6-3.5%) CD34+ range, the CD34+ cells appeared as normal in only 1/5 cases. In the high (51-67%) CD34+ range, as expected the majority of CD34+ cells were malignant, although in 2/3 cases a small subpopulation (i.e. 0.15% and 0.20%) of CD34+ cells were of normal origin. INTERPRETATION AND CONCLUSIONS: Our multiparameter approach enabled us to define the nature of CD34+ cells in AML. This has implications for studies dealing with the characterization of primitive malignant cells. Moreover, it enabled identification of truly CD34 negative AML, which would be eligible for CD34-based immunological purging of autologous stem cell transplants.
Authors: Jonathan M Gerber; B Douglas Smith; Brownhilda Ngwang; Hao Zhang; Milada S Vala; Laura Morsberger; Steven Galkin; Michael I Collector; Brandy Perkins; Mark J Levis; Constance A Griffin; Saul J Sharkis; Michael J Borowitz; Judith E Karp; Richard J Jones Journal: Blood Date: 2012-01-19 Impact factor: 22.113
Authors: W Zeijlemaker; A Kelder; Y J M Oussoren-Brockhoff; W J Scholten; A N Snel; D Veldhuizen; J Cloos; G J Ossenkoppele; G J Schuurhuis Journal: Leukemia Date: 2015-09-16 Impact factor: 11.528
Authors: Jonathan M Gerber; Joshua F Zeidner; Sarah Morse; Amanda L Blackford; Brandy Perkins; Breann Yanagisawa; Hao Zhang; Laura Morsberger; Judith Karp; Yi Ning; Christopher D Gocke; Gary L Rosner; B Douglas Smith; Richard J Jones Journal: Haematologica Date: 2016-01-27 Impact factor: 9.941
Authors: Farideh Miraki-Moud; Fernando Anjos-Afonso; Katharine A Hodby; Emmanuel Griessinger; Guglielmo Rosignoli; Debra Lillington; Li Jia; Jeff K Davies; Jamie Cavenagh; Matthew Smith; Heather Oakervee; Samir Agrawal; John G Gribben; Dominique Bonnet; David C Taussig Journal: Proc Natl Acad Sci U S A Date: 2013-07-30 Impact factor: 11.205
Authors: Gerrit J Schuurhuis; Michael H Meel; Floris Wouters; Lisa A Min; Monique Terwijn; Nick A de Jonge; Angele Kelder; Alexander N Snel; Sonja Zweegman; Gert J Ossenkoppele; Linda Smit Journal: PLoS One Date: 2013-11-11 Impact factor: 3.240
Authors: Monique Terwijn; Wendelien Zeijlemaker; Angèle Kelder; Arjo P Rutten; Alexander N Snel; Willemijn J Scholten; Thomas Pabst; Gregor Verhoef; Bob Löwenberg; Sonja Zweegman; Gert J Ossenkoppele; Gerrit J Schuurhuis Journal: PLoS One Date: 2014-09-22 Impact factor: 3.240
Authors: Marie Toft-Petersen; Line Nederby; Eigil Kjeldsen; Gitte B Kerndrup; Gordon D Brown; Peter Hokland; Anne Stidsholt Roug Journal: Br J Haematol Date: 2016-09-09 Impact factor: 6.998