Tolerance associated gene expression following allogeneic hematopoietic cell transplantation

PloS One
Joseph PidalaClaudio Anasetti

Abstract

Biologic markers of immune tolerance may facilitate tailoring of immune suppression duration after allogeneic hematopoietic cell transplantation (HCT). In a cross-sectional study, peripheral blood samples were obtained from tolerant (n = 15, median 38.5 months post-HCT) and non-tolerant (n = 17, median 39.5 post-HCT) HCT recipients and healthy control subjects (n = 10) for analysis of immune cell subsets and differential gene expression. There were no significant differences in immune subsets across groups. We identified 281 probe sets unique to the tolerant (TOL) group and 122 for non-tolerant (non-TOL). These were enriched for process networks including NK cell cytotoxicity, antigen presentation, lymphocyte proliferation, and cell cycle and apoptosis. Differential gene expression was enriched for CD56, CD66, and CD14 human lineage-specific gene expression. Differential expression of 20 probe sets between groups was sufficient to develop a classifier with > 90% accuracy, correctly classifying 14/15 TOL cases and 15/17 non-TOL cases. These data suggest that differential gene expression can be utilized to accurately classify tolerant patients following HCT. Prospective investigation of immune tolerance biologic markers is warran...Continue Reading

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Citations

Aug 1, 2015·American Journal of Transplantation : Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons·J R LeventhalJ Miller
Oct 8, 2016·Biology of Blood and Marrow Transplantation : Journal of the American Society for Blood and Marrow Transplantation·Kenneth R CookeBruce R Blazar
Feb 1, 2017·The Journal of Pathology. Clinical Research·Joseph PidalaMinnie M Sarwal
Apr 7, 2018·Blood·Sophie Paczesny

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Methods Mentioned

BETA
biopsy
flow cytometry
chips
chip

Software Mentioned

Affymetrix MAS
NanoString nCounter Analysis System
NanoString nSolver Analysis Software
MetaCore
Significance Analysis of Microarrays ( SAM )
Gene set enrichment analysis ( GSEA )
SAM
GSEA
GeneGo
R Foundation for Statistical Computing

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