ArticleBMC genomics2012
Transcriptome classification reveals molecular subtypes in psoriasis.
Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
35 citing papers in PubMed.
- Modulation of epidermal transcription circuits in psoriasis: new links between inflammation and hyperproliferation.PloS one · 2013Trial
- Divergent Paths: A Comprehensive Review of Mechanisms and Clinical Implications in Atopic Dermatitis and Psoriasis.Allergy · 2026Review
- Association Between Inflammatory Cytokines and Systemic Inflammation Indices in Patients With Psoriasis: A Cross-Sectional Study.Health science reports · 2026Article
- Transcriptomic Identification of Immune-Related Hubs as Candidate Predictor Biomarkers of Therapeutic Response in Psoriasis.International journal of molecular sciences · 2025Article
- Best Responders and Super-Responders to Calcipotriol and Betamethasone Dipropionate PAD-Cream: A Post Hoc Pooled Analysis of Two Phase 3 Trials.Dermatology and therapy · 2025Article
- Interpretable optimisation-based approach for hyper-box classification.Machine learning · 2025Article
- Psoriasis vulgaris leaves a dynamic imprint on circulating and skin γδ TCR repertoires shaped by disease severity, age, and sex.Frontiers in immunology · 2025Article
- Exploratory multi-omics analysis reveals host-microbe interactions associated with disease severity in psoriatic skin.EBioMedicine · 2024Article
- Deep analysis of skin molecular heterogeneities and their significance on the precise treatment of patients with psoriasis.Frontiers in immunology · 2024Article
- Signaling pathways and targeted therapies for psoriasis.Signal transduction and targeted therapy · 2023Review
- Assessment of Treatment-Relevant Immune Biomarkers in Psoriasis and Atopic Dermatitis: Toward Personalized Medicine in Dermatology.The Journal of investigative dermatology · 2023Review
- Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.Frontiers in genetics · 2023Article
- Transcriptional Basis of Psoriasis from Large Scale Gene Expression Studies: The Importance of Moving towards a Precision Medicine Approach.International journal of molecular sciences · 2022Review
- Predominant Role of mTOR Signaling in Skin Diseases with Therapeutic Potential.International journal of molecular sciences · 2022Review
- Gini Coefficients as a Single Value Metric to Define Chemical Probe Selectivity.ACS chemical biology · 2020Article
- Keratinocytes Derived from Patient-Specific Induced Pluripotent Stem Cells Recapitulate the Genetic Signature of Psoriasis Disease.Stem cells and development · 2020Article
- Review-Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis.International journal of molecular sciences · 2020Review
- The role and robustness of the Gini coefficient as an unbiased tool for the selection of Gini genes for normalising expression profiling data.Scientific reports · 2019Article
- Integrated bioinformatic analysis of differentially expressed genes and signaling pathways in plaque psoriasis.Molecular medicine reports · 2019Article
- Psoriasis Pathogenesis and Treatment.International journal of molecular sciences · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundPsoriasis is an immune-mediated disease characterised by chronically elevated pro-inflammatory cytokine levels, leading to aberrant keratinocyte proliferation and differentiation. Although certain clinical phenotypes, such as plaque psoriasis, are well defined, it is currently unclear whether there are molecular subtypes that might impact on prognosis or treatment outcomes.
resultsWe present a pipeline for patient stratification through a comprehensive analysis of gene expression in paired lesional and non-lesional psoriatic tissue samples, compared with controls, to establish differences in RNA expression patterns across all tissue types. Ensembles of decision tree predictors were employed to cluster psoriatic samples on the basis of gene expression patterns and reveal gene expression signatures that best discriminate molecular disease subtypes. This multi-stage procedure was applied to several published psoriasis studies and a comparison of gene expression patterns across datasets was performed.
conclusionOverall, classification of psoriasis gene expression patterns revealed distinct molecular sub-groups within the clinical phenotype of plaque psoriasis. Enrichment for TGFb and ErbB signaling pathways, noted in one of the two psoriasis subgroups, suggested that this group may be more amenable to therapies targeting these pathways. Our study highlights the potential biological relevance of using ensemble decision tree predictors to determine molecular disease subtypes, in what may initially appear to be a homogenous clinical group. The R code used in this paper is available upon request.
Indexed as
Identifiers
What OpenQuestion holds
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.