Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Clinical ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Clinical Apheresis
Article . 2010 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
versions View all 3 versions
addClaim

Factors affecting stem cell mobilization for autologous hematopoietic stem cell transplantation

Authors: YEGİN, ZEYNEP ARZU; Aki, Sahika Zeynep; Acar, Kadir; Sucak, Gulsan Turkoz; Yagci, Munci; ÖZKURT, ZÜBEYDE NUR; Suyani, Elif;

Factors affecting stem cell mobilization for autologous hematopoietic stem cell transplantation

Abstract

AbstractHigh‐dose chemotherapy with autologous stem cell transplantation (ASCT) is curative treatment in various hematologic malignancies. Mobilization and collection of peripheral blood stem cell is the essential part of ASCT. The aim of this study was to evaluate the effectiveness of various mobilization regimens, determine the risk factors associated with mobilization failure (MF). We also investigated whether iron overload, which has an adverse impact on various aspects of HSCT including overall survival had any impact on mobilization kinetics. A total of 118 consecutive patients were included in this study. The rate of MF was 11.8 % with the first mobilization regimen. Frequency of MF was higher in lymphoma (P < 0.001) patients and in those receiving G‐CSF alone (P= 0.01). Peripheral CD34+ cell count (P < 0.001), bone marrow cellularity (P < 0.001), reticulin fibrosis (P < 0.05) were significantly lower whereas serum ferritin levels (P = 0.06) tended to be higher in patients with MF. CD34+ cell count of the first apheresis product was positively correlated with the white blood cell count (P < 0.05; r = 0.232), platelet count (P = 0.01; r = 0.233), peripheral CD34+ cell count (P < 0.001; r = 0.704) and the grade of bone marrow reticulin fibrosis (P < 0.001; r = 0.366). Serum ferritin levels were negatively correlated with maximum peripheral CD34+ cell count (P = 0.02; r = −0.216) and the CD34+ cell count in the first product (P = 0.05; r = −0.183). Platelet count (P = 0.03; β = 0.262), peripheral CD34+ cell count (P = 0.02; β=0.279) were the two variables which remained to be significant in multivariate analysis. Predicting the poor mobilizers with the platelet count for instance may reduce the risk of MF by using more effective regimens in advance. J. Clin. Apheresis, 2010. © 2010 Wiley‐Liss, Inc.

Country
Turkey
Related Organizations
Keywords

Adult, Male, Adolescent, Lymphoma, Platelet Count, Hematopoietic Stem Cell Transplantation, Antigens, CD34, Middle Aged, Transplantation, Autologous, Hematopoietic Stem Cell Mobilization, Ferritins, Granulocyte Colony-Stimulating Factor, Humans, Female, Multiple Myeloma, Aged, Retrospective Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    52
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!