ArticleGenome medicine2013
Peripheral blood derived gene panels predict response to infliximab in rheumatoid arthritis and Crohn's disease.
Article in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Multi-Omics Biomarkers for Predicting Efficacy of Biologic and Small-Molecule Therapies in Adults With Inflammatory Bowel Disease: A Systematic Review.United European gastroenterology journal · 2025Pooled it
- Pooled it
- Pooled it
- Molecular profiling of rheumatoid arthritis patients reveals an association between innate and adaptive cell populations and response to anti-tumor necrosis factor.Arthritis research & therapy · 2019Trial
- Transcriptomic Profiling Identifies Disease-Specific miRNA-mRNA Regulatory Networks in Systemic Sclerosis.Biomolecules · 2026Article
- Blood-based gene signatures associated with therapeutic response to anti-TNF therapy in rheumatoid arthritis: a combined meta-analytical and machine learning approach.EULAR rheumatology open · 2026Article
- Identification of potential predictive biomarkers during JAK-inhibitor therapies in rheumatoid arthritis.Human genomics · 2025Article
- Reliable machine learning models in genomic medicine using conformal prediction.Frontiers in bioinformatics · 2025Review
- Baseline Expression of Immune Gene Modules in Blood is Associated With Primary Response to Anti-TNF Therapy in Crohn's Disease Patients.Journal of Crohn's & colitis · 2024Observational
- Prediction of response to anti-TNFα using integrative computational approaches in Crohn's disease-Needle in a haystack or a promising biomarker?Cell reports. Medicine · 2024Article
- A personalized network framework reveals predictive axis of anti-TNF response across diseases.Cell reports. Medicine · 2024Article
- Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease.Genome medicine · 2022Article
- Uncovering Novel Pre-Treatment Molecular Biomarkers for Anti-TNF Therapeutic Response in Patients with Crohn's Disease.Journal of functional biomaterials · 2022Article
- Landscape of sialylation patterns identify biomarkers for diagnosis and prediction of response to anti-TNF therapy in crohn's disease.Frontiers in genetics · 2022Article
- Proteomic Analysis of Potential Targets for Non-Response to Infliximab in Patients With Ulcerative Colitis.Frontiers in pharmacology · 2022Article
- Omics data integration identifies ELOVL7 and MMD gene regions as novel loci for adalimumab response in patients with Crohn's disease.Scientific reports · 2021Article
- An interspecies translation model implicates integrin signaling in infliximab-resistant inflammatory bowel disease.Science signaling · 2020Article
- Integrated Gene Expression Profiling Analysis Reveals Probable Molecular Mechanism and Candidate Biomarker in Anti-TNFα Non-Response IBD Patients.Journal of inflammation research · 2020Article
- Working Towards a Blood-Derived Gene Expression Biomarker Specific for Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2020Article
- Profiling of Gene Expression Biomarkers as a Classifier of Methotrexate Nonresponse in Patients With Rheumatoid Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2019Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBiological therapies have been introduced for the treatment of chronic inflammatory diseases including rheumatoid arthritis (RA) and Crohn's disease (CD). The efficacy of biologics differs from patient to patient. Moreover these therapies are rather expensive, therefore treatment of primary non-responders should be avoided.
methodWe addressed this issue by combining gene expression profiling and biostatistical approaches. We performed peripheral blood global gene expression profiling in order to filter the genome for target genes in cohorts of 20 CD and 19 RA patients. Then RT-quantitative PCR validation was performed, followed by multivariate analyses of genes in independent cohorts of 20 CD and 15 RA patients, in order to identify sets ofinterrelated genes that can separate responders from non-responders to the humanized chimeric anti-TNFalpha antibody infliximab at baseline.
resultsGene panels separating responders from non-responders were identified using leave-one-out cross-validation test, and a pool of genes that should be tested on larger cohorts was created in both conditions.
conclusionsOur data show that peripheral blood gene expression profiles are suitable for determining gene panels with high discriminatory power to differentiate responders from non-responders in infliximab therapy at baseline in CD and RA, which could be cross-validated successfully. Biostatistical analysis of peripheral blood gene expression data leads to the identification of gene panels that can help predict responsiveness of therapy and support the clinical decision-making process.
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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.