Trial reportRespiratory research2017
Network-based analysis reveals novel gene signatures in peripheral blood of patients with chronic obstructive pulmonary disease.
Trial report in Respiratory research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00292552 (A Multicentre 3 Year Longitudinal Prospective Study to Identify Novel Endpoints and Compare These With Forced Expiratory Volume in 1 Second), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.
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.
A Multicentre 3 Year Longitudinal Prospective Study to Identify Novel Endpoints and Compare These With Forced Expiratory Volume in 1 Second (FEV1) for Their Ability to Measure and Predict COPD Severity and Its Progression Over Time
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Blood gene expression risk profiles and interstitial lung abnormalities: COPDGene and ECLIPSE cohort studies.Respiratory research · 2022Pooled it
- Pooled it
- Advancing Precision Approaches to Chronic Obstructive Pulmonary Disease.Tuberculosis and respiratory diseases · 2026Review
- Joint clinical and molecular subtyping of COPD with variational autoencoders.Nature communications · 2026Article
- Molecular determinants of lung function decline: a multi-level analysis of gene expression.Respiratory research · 2025Article
- Gene Expression Profiles Reveal Distinct Mechanisms Driving Chronic Obstructive Pulmonary Disease Exacerbations.International journal of molecular sciences · 2025Observational
- Leveraging dynamic stability to infer regulation in protein-protein interaction networks: A study of infectious vulnerability in COPD.PloS one · 2025Article
- An integrative network-based approach to identify driving gene communities in chronic obstructive pulmonary disease.NPJ systems biology and applications · 2024Article
- Proteomic networks and related genetic variants associated with smoking and chronic obstructive pulmonary disease.BMC genomics · 2024Article
- Blood Gene Expression and Immune Cell Subtypes Associated with Chronic Obstructive Pulmonary Disease Exacerbations.American journal of respiratory and critical care medicine · 2023Article
- A computational approach for the identification of key genes and biological pathways of chronic lung diseases: a systems biology approach.BMC medical genomics · 2023Article
- Identifying chronic obstructive pulmonary disease from integrative omics and clustering in lung tissue.BMC pulmonary medicine · 2023Article
- High expression of LOC541471, GDAP1, SOD1, and STK25 is associated with poor overall survival of patients with acute myeloid leukemia.Cancer medicine · 2023Article
- Recent evidence from omic analysis for redox signalling and mitochondrial oxidative stress in COPD.Journal of inflammation (London, England) · 2022Review
- Development of a Blood-based Transcriptional Risk Score for Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2022Article
- Article
- Analysis of the polarization states of the alveolar macrophages in chronic obstructive pulmonary disease samples based on miRNA-mRNA network signatures.Annals of translational medicine · 2021Article
- Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis.PeerJ · 2021Article
- Host Factor Interaction Networks Identified by Integrative Bioinformatics Analysis Reveals Therapeutic Implications in COPD Patients With COVID-19.Frontiers in pharmacology · 2021Article
- CAFU: a Galaxy framework for exploring unmapped RNA-Seq data.Briefings in bioinformatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 4 countries.
Funding
Abstract
backgroundChronic obstructive pulmonary disease (COPD) is currently the third leading cause of death and there is a huge unmet clinical need to identify disease biomarkers in peripheral blood. Compared to gene level differential expression approaches to identify gene signatures, network analyses provide a biologically intuitive approach which leverages the co-expression patterns in the transcriptome to identify modules of co-expressed genes.
methodsA weighted gene co-expression network analysis (WGCNA) was applied to peripheral blood transcriptome from 238 COPD subjects to discover co-expressed gene modules. We then determined the relationship between these modules and forced expiratory volume in 1 s (FEV
resultsUsing WGCNA, we identified 17 modules of co-expressed genes in the discovery cohort. Three of these modules were significantly correlated with FEV
conclusionsNetwork based approaches are promising tools to identify potential biomarkers for COPD.
trial registrationThe ECLIPSE study was funded by GlaxoSmithKline, under ClinicalTrials.gov identifier NCT00292552 and GSK No. SCO104960.
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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.