Trial reportArthritis & rheumatology (Hoboken, N.J.)2014
Whole blood gene expression profiling predicts therapeutic response at six months in patients with polyarticular juvenile idiopathic arthritis.
Trial report in Arthritis & rheumatology (Hoboken, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 26 citations in OpenAlex.
- Whole blood expression profiling from the TREAT trial: insights for the pathogenesis of polyarticular juvenile idiopathic arthritis.Arthritis research & therapy · 2016Trial
- Dynamic tracking of functional gene modules in treated juvenile idiopathic arthritis.Genome medicine · 2015Trial
- Transcriptional Profiling of Tofacitinib Treatment in Juvenile Idiopathic Arthritis: Implications for Treatment Response Prediction.Arthritis care & research · 2025Article
- Glutathione S-Transferase Gene Polymorphisms as Predictors of Methotrexate Efficacy in Juvenile Idiopathic Arthritis.Biomedicines · 2024Article
- A systematic strategy for identifying causal single nucleotide polymorphisms and their target genes on Juvenile arthritis risk haplotypes.BMC medical genomics · 2024Article
- CD4+ T cells from children with active juvenile idiopathic arthritis show altered chromatin features associated with transcriptional abnormalities.Scientific reports · 2021Article
- The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches.Arthritis research & therapy · 2019Article
- Application of machine learning in the diagnosis of axial spondyloarthritis.Current opinion in rheumatology · 2019Review
- RNA sequencing data from neutrophils of patients with cystic fibrosis reveals potential for developing biomarkers for pulmonary exacerbations.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2019Article
- Identification of enhanced IFN-γ signaling in polyarticular juvenile idiopathic arthritis with mass cytometry.JCI insight · 2018Article
- Disease-specific regulation of gene expression in a comparative analysis of juvenile idiopathic arthritis and inflammatory bowel disease.Genome medicine · 2018Article
- Modeling Transcriptional Rewiring in Neutrophils Through the Course of Treated Juvenile Idiopathic Arthritis.Scientific reports · 2018Article
- Predicting unfavorable long-term outcome in juvenile idiopathic arthritis: results from the Nordic cohort study.Arthritis research & therapy · 2018Article
- Using Chromatin Architecture to Understand the Genetics and Transcriptomics of Juvenile Idiopathic Arthritis.Frontiers in immunology · 2018Review
- Transcriptional profiles of JIA patient blood with subsequent poor response to methotrexate.Rheumatology (Oxford, England) · 2017Article
- Identification of potential peripheral blood diagnostic biomarkers for patients with juvenile idiopathic arthritis by bioinformatics analysis.Rheumatology international · 2017Article
- Limits of Peripheral Blood Mononuclear Cells for Gene Expression-Based Biomarkers in Juvenile Idiopathic Arthritis.Scientific reports · 2016Article
- Predictors of juvenile idiopathic arthritis course.Reumatologia · 2015Article
- Genetic determinants for methotrexate response in juvenile idiopathic arthritis.Frontiers in pharmacology · 2015Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo determine whether gene expression profiles identified in peripheral whole blood samples could be used to determine therapeutic outcome in a cohort of children with newly diagnosed polyarticular juvenile idiopathic arthritis (JIA).
methodsWhole blood samples from the Trial of Early Aggressive Therapy (TREAT) in JIA patients were analyzed on Illumina microarrays, and differential gene expression was compared to expression in healthy controls. Microarray results were validated by real-time quantitative polymerase chain reaction in an independent cohort of samples. Pathway analysis software was used to characterize gene expression profiles. Support vector machines were used to develop predictive models for different patient classes.
resultsDifferential gene expression profiles for rheumatoid factor (RF)-positive and RF-negative patients were remarkably similar. Pathway analysis revealed a broad range of affected pathways, consistent with current mechanistic theories. Modeling showed that the prognosis at 6 months was strongly linked to gene expression at presentation, irrespective of treatment.
conclusionGene expression is linked to therapeutic outcome, and gene expression in the peripheral blood may be a suitable target for a prognostic test.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.