Rapid Recovery of CD3+CD8+ T Cells on Day 90 Predicts Superior Survival after Unmanipulated Haploidentical Blood and Marrow Transplantation
Deng-Mei Tian,
Yu Wang,
Xiao-Hui Zhang,
Kai-Yan Liu,
Xiao-Jun Huang and
Ying-Jun Chang
PLOS ONE, 2016, vol. 11, issue 6, 1-17
Abstract:
Background: Rapid immune reconstitution after allogeneic hematopoietic stem cell transplantation (allo-HSCT) is significantly associated with lower infection, relapse and possibly secondary malignancy rates. The aim of this study was to investigate the role of peripheral lymphocyte subsets, especially CD3+CD8+ cytotoxic T cell recovery, in predicting transplant outcomes, including the overall survival (OS) and non-relapse mortality (NRM) rates after unmanipulated haploidentical blood and marrow transplantation (HBMT). Methods: Peripheral blood samples were obtained from 214 HBMT recipients with hematological malignancies. The peripheral lymphocyte subsets (CD3+ T cells, CD3+CD4+ helper T cells, CD3+CD8+ cytotoxic T cells, and CD19+ B cells) were analyzed by flow cytometry at days 30, 60, 90, 180, 270 and 360 after HBMT. Results: The CD3+CD8+ cytotoxic T cell recovery at day 90 (CD3+CD8+-90) was correlated with bacterial infection (P = 0.001), NRM (P = 0.001), leukemia-free survival (LFS, P = 0.005), and OS (P = 0.001) at a cutoff value of 375 cells/μL CD3+CD8+ T cells. The incidence of bacterial infection in patients with the CD3+CD8+-90 at ≥375 cells/μL was significantly lower than that of cases with the CD3+CD8+-90 at
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0156777 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 56777&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0156777
DOI: 10.1371/journal.pone.0156777
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().