PURPOSE: This study's main aim was to assess the effect of 2 mobilization regimens (granulocyte colony-stimulating factor [G-CSF] and chemotherapy vs. G-CSF alone) on the yield of CD34(+) cells in the apheresis components of patients with lymphoid malignancy. We also sought to identify possible predictors of CD34(+) cell yield in the apheresis components. PATIENTS AND METHODS: CD34(+) cells were mobilized and harvested from 89 patients with non-Hodgkin lymphoma (n = 62) or Hodgkin disease (n = 27). Forty-one patients (46.1%) were mobilized with G-CSF, and 48 (53.9%) were mobilized with chemotherapy and G-CSF. Univariate and multivariate analyses were used to examine potential predictors of the CD34(+) cell yield (collection of > 2.7 x 10(6) cells/kg), such as the number of peripheral CD34(+) cells, age, sex, diagnosis, disease stage, weight, bone marrow status at baseline, mononuclear cells, white blood cells, and platelet counts. RESULTS: The median patient age was 41 years (range, 12-66 years), and the median patient weight was 72 kg (range, 44-123 kg). Mobilization of peripheral blood progenitor cells (PBPCs) was superior when using chemotherapy and G-CSF versus G-CSF alone (3.6 x 10(6) cells/kg vs. 2.2 x 10(6) cells/kg; P = .001). CD34(+) cell counts and platelet counts in the peripheral blood significantly correlated with CD34(+) yield (P < .01 and P = .009, respectively). The yield was also significantly affected by weight, diagnosis, mobilization regimen, and baseline bone marrow status (P = .021, P = .05, P = .002, and P = .043, respectively). CONCLUSION: Many factors influence harvesting of PBPCs, including diagnosis, bone marrow status at baseline, patient weight, and the type of mobilization regimen. The number of CD34(+) cells in the peripheral blood can be used to predict the timing of apheresis and optimize yield.
PURPOSE: This study's main aim was to assess the effect of 2 mobilization regimens (granulocyte colony-stimulating factor [G-CSF] and chemotherapy vs. G-CSF alone) on the yield of CD34(+) cells in the apheresis components of patients with lymphoid malignancy. We also sought to identify possible predictors of CD34(+) cell yield in the apheresis components. PATIENTS AND METHODS: CD34(+) cells were mobilized and harvested from 89 patients with non-Hodgkin lymphoma (n = 62) or Hodgkin disease (n = 27). Forty-one patients (46.1%) were mobilized with G-CSF, and 48 (53.9%) were mobilized with chemotherapy and G-CSF. Univariate and multivariate analyses were used to examine potential predictors of the CD34(+) cell yield (collection of > 2.7 x 10(6) cells/kg), such as the number of peripheral CD34(+) cells, age, sex, diagnosis, disease stage, weight, bone marrow status at baseline, mononuclear cells, white blood cells, and platelet counts. RESULTS: The median patient age was 41 years (range, 12-66 years), and the median patient weight was 72 kg (range, 44-123 kg). Mobilization of peripheral blood progenitor cells (PBPCs) was superior when using chemotherapy and G-CSF versus G-CSF alone (3.6 x 10(6) cells/kg vs. 2.2 x 10(6) cells/kg; P = .001). CD34(+) cell counts and platelet counts in the peripheral blood significantly correlated with CD34(+) yield (P < .01 and P = .009, respectively). The yield was also significantly affected by weight, diagnosis, mobilization regimen, and baseline bone marrow status (P = .021, P = .05, P = .002, and P = .043, respectively). CONCLUSION: Many factors influence harvesting of PBPCs, including diagnosis, bone marrow status at baseline, patient weight, and the type of mobilization regimen. The number of CD34(+) cells in the peripheral blood can be used to predict the timing of apheresis and optimize yield.
Authors: Chitra Hosing; Rima M Saliba; Sheena Ahlawat; Martin Körbling; Partow Kebriaei; Amin Alousi; Marcos De Lima; Julia-Grace Okoroji; John McMannis; Muzaffar Qazilbash; Paolo Anderlini; Sergio Giralt; Richard E Champlin; Issa Khouri; Uday Popat Journal: Am J Hematol Date: 2009-06 Impact factor: 10.047
Authors: A Olivieri; M Marchetti; R Lemoli; C Tarella; A Iacone; F Lanza; A Rambaldi; A Bosi Journal: Bone Marrow Transplant Date: 2011-05-30 Impact factor: 5.483