Platelet recovery following autologous bone marrow transplantation correlates with the content of cd34+, cd38- cells in the marrow graft

E. K. Waller, L. J. Worford, M. Lynn, E. F. Winton, R. A. Bray, W. Jones, H. Rosenthal, J. McCollum, H. K. Holland, A. M. Yeager

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1 Scopus citations

Abstract

Thrombocytopenia is a major complication of autologous bone marrow transplantation (BMT) We studied the contribution of committed progenitors and CD34+ stem cells in the autograft on the kinetics of platelet engraftment post-transplant using multi-parameter flow cytometry and colony assays. The numbers of CD34+ cell subsets, CFU-GM and CFU-Megakaryocyte (CFU-Meg) in the autograft were measured in 24 patients with breast cancer and lymphoma undergoing autologous BMT The mean numbers of progenitor cells among these patients were 1.9 × 106 CD34+ cells/kg, 0.07 106 CD34+, CD38- cells/kg; 3.2 × 104 CFU-GM/kg; 0.4 104 CFU-Meg/kg and 46 × 104 total CFU/kg. The mean and median times to achieve a platelet count of 20 x 109/1 in the absence of transfusions were 30 and 21 days, respectively. The time to platelet engraftment was correlated with the content of CD34+, CD38- cells/kg (R=-0 527, p=0.008); total CD34+ cells/kg (R=-.368, p=0.08), CFU-Meg/kg (R=-0.217, p=0.31); CFU-GM/kg (R=-0.07, p=0.74); and total CFU/kg (R=-0 08, p=0.71) The content of CD34+, CD38- progenitor cells was the best predictor of the time to achieve a platelet count of >20 x 102/l post transplant; the numbers of CFU-Meg and other committed progenitor cells were not significantly correlated with the time to platelet engrafbnent. We conclude that the content of pluripotent stem cells, as assessed by multi-parameter flow cytometry of CD34+ subsets, yields clinically relevant data that help predict hematopoietic engraftment following autologous BMT.

Original languageEnglish (US)
Pages (from-to)898
Number of pages1
JournalExperimental Hematology
Volume25
Issue number8
StatePublished - 1997

ASJC Scopus subject areas

  • Molecular Biology
  • Hematology
  • Genetics
  • Cell Biology
  • Cancer Research

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