ArticleBone marrow transplantation2008
Cell cycle and immune-related processes are significantly altered in chronic GVHD.
Article in Bone marrow transplantation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Prognostic value of lipid metabolism-related genes in head and neck squamous cell carcinoma.Immunity, inflammation and disease · 2021Article
- Serum and Extracellular Vesicle MicroRNAs miR-423, miR-199, and miR-93* As Biomarkers for Acute Graft-versus-Host Disease.Frontiers in immunology · 2017Article
- Identification of gene microarray expression profiles in patients with chronic graft-versus-host disease following allogeneic hematopoietic cell transplantation.Clinical immunology (Orlando, Fla.) · 2013Article
- Article
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- Access to immunology through the Gene Ontology.Immunology · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, the pathogenesis of chronic GVHD is unclear. To elucidate the molecular characteristics underlying chronic GVHD, we analyzed the gene expression profiles of 21 mononuclear cell samples from allogeneic hematopoietic stem cell transplantation (HSCT) recipients. Self organizing map (SOM) clustering showed that the entire expression profiles of chronic GVHD samples were clearly different from those of the non-GVHD samples, and significance analysis of microarray (SAM) demonstrated that 120 genes, including PTDSS1, VAV1 and CD3D, were up-regulated, and 5 genes, including calnexin, were down-regulated in GVHD patients. Gene ontology annotation revealed that these genes are related to the phosphorous metabolism and lipid biosynthesis. Quantitative real time polymerase chain reaction (qRT-PCR) experiments validated the up-regulation of PTDSS1, VAV1 and CD3D in separate samples. Pathway-wise global test revealed that differential gene expression in cell cycle and T cell immune-associated pathways were significant between GVHD patients and non-GVHD patients. Seventeen classifier genes selected using a PAM (prediction analysis of microarray) algorithm showed favorable performance (prediction accuracy=0.85) for identifying patients with chronic GVHD. In conclusion, we identified differentially expressed genes and pathways in chronic GVHD patients using microarray analysis, and we also selected diagnostic genes predicting chronic GVHD status.
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Registered trials
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