Literature DB >> 24388863

Novel cell population data from a haematology analyzer can predict timing and efficiency of stem cell transplantation.

Vera Golubeva1, Juliana Mikhalevich2, Julia Novikova3, Olga Tupizina3, Svetlana Trofimova3, Yekaterina Zueva4.   

Abstract

Autologous hematopoietic stem cell transplantation (AHSCT) is a necessary component for many oncohematological diseases treatment. For a successful result of AHSCT a sufficient quantity of hematopoietic stem cells (HSCs) is needed. It has been proposed that morphological changes of myeloid cells could reflect the processes of bone marrow stimulation and may provide useful information to predict the stimulation efficiency and expected outcome of CD34(+) stem cells. The Beckman Coulter Cellular Analysis System DxH800 performs Flow Cytometric Digital Morphology analysis of leukocytes. All leukocyte cellular measurements can be reported as numerical values called Cell Population Data (CPD), which are able to detect morphological changes in the cell size and distribution of neutrophils. Our findings suggest that the changes in neutrophil CPD were detectable 2-4days before the observed increase in CD34(+) count in the peripheral blood and can potentially improve the management of patients. There was also a good correlation between MN-V-NE and ImmNeIndex with the CD34(+) count suggesting they can be used as a surrogate for the CD34(+) count (r=0.67 and 0.65 p<0.005 respectively). Crown
Copyright © 2013. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Apheresis; Beckman Coulter DxH800; CD34(+) counts; Cell Population Data; Flow cytometry; Haematopoietic stem cells; Mobilization; Stratification

Mesh:

Substances:

Year:  2013        PMID: 24388863     DOI: 10.1016/j.transci.2013.12.004

Source DB:  PubMed          Journal:  Transfus Apher Sci        ISSN: 1473-0502            Impact factor:   1.764


  5 in total

1.  Rapid prediction of stem cell mobilization using volume and conductivity data from automated hematology analyzers.

Authors:  Carlos H Villa; Thomas Porturas; Mary Sell; Mark Wall; Gene DeLeo; Jenna Fetters; Sam Mignono; Leah Irwin; Wei-Ting Hwang; Una O'Doherty
Journal:  Transfusion       Date:  2017-12-11       Impact factor: 3.157

2.  Identification of cell morphology parameters from automatic hematology analyzers to predict the peripheral blood CD34-positive cell count after mobilization.

Authors:  Saeam Shin; Sung Ran Cho; Sinyoung Kim; Jong Rak Choi; Kyung-A Lee
Journal:  PLoS One       Date:  2017-03-20       Impact factor: 3.240

Review 3.  Stem cells in cancer therapy: opportunities and challenges.

Authors:  Cheng-Liang Zhang; Ting Huang; Bi-Li Wu; Wen-Xi He; Dong Liu
Journal:  Oncotarget       Date:  2017-09-08

4.  Establishment of sex-specific reference intervals for automated haematology analyser-delivered research parameters in healthy Korean adults: a retrospective database review.

Authors:  Kibum Jeon; Miyoung Kim; Junhee Han; Jiwon Lee; Jee-Soo Lee; Han-Sung Kim; Hee Jung Kang; Young Kyung Lee
Journal:  BMJ Open       Date:  2020-10-08       Impact factor: 2.692

5.  Monocyte distribution width enhances early sepsis detection in the emergency department beyond SIRS and qSOFA.

Authors:  Elliott D Crouser; Joseph E Parrillo; Greg S Martin; David T Huang; Pierre Hausfater; Ilya Grigorov; Diana Careaga; Tiffany Osborn; Mohamad Hasan; Liliana Tejidor
Journal:  J Intensive Care       Date:  2020-05-05
  5 in total

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