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Meta-analysis of gene expression profiles to predict response to biologic agents in rheumatoid arthritis

Title
Meta-analysis of gene expression profiles to predict response to biologic agents in rheumatoid arthritis
Author
배상철
Keywords
Biologic agent; Gene expression; Meta-analysis; Response; Rheumatoid arthritis; IN-VIVO; CLASSIFICATION; ASSOCIATION; DENSITY; CANCER
Issue Date
2014-06
Publisher
SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND
Citation
CLINICAL RHEUMATOLOGY, 권: 33 호: 6, p 775-782
Abstract
Our aim was to identify differentially expressed (DE) genes and biological processes that may help predict patient response to biologic agents for rheumatoid arthritis (RA). Using the INMEX (integrative meta-analysis of expression data) software tool, we performed a meta-analysis of publicly available microarray Gene Expression Omnibus (GEO) datasets that examined patient response to biologic therapy for RA. Three GEO datasets, containing 79 responders and 34 non-responders, were included in the metaanalysis. We identified 1,374 genes that were consistently differentially expressed in responders vs. non-responders (651 up-regulated and 723 down-regulated). The upregulated gene with the smallest p value (p=0.000192) was ASCC2 (Activating Signal Cointegrator 1 Complex Subunit 2), and the up-regulated gene with the largest fold change (average log fold change=-0.75869, p=0.000206) was KLRC3 (Killer Cell Lectin-Like Receptor Subfamily C, Member 3). The down-regulated gene with the smallest p value (p=0.000195) was MPL (Myeloproliferative Leukemia Virus Oncogene). Among the 236 GO terms associated with the set of DE genes, the most significantly enriched was "CTP biosynthetic process" (GO:0006241; p=0.000454). Our meta-analysis identified genes that were consistently DE in responders vs. non-responders, as well as biological pathways associated with this set of genes. These results provide insight into the molecular mechanisms underlying responsiveness to biologic therapy for RA.
URI
http://link.springer.com./article/10.1007/s10067-014-2547-9http://hdl.handle.net/20.500.11754/47635
ISSN
0770-3198; 1434-9949
DOI
10.1007/s10067-014-2547-9
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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