ArticleBMC pulmonary medicine2023
Identifying chronic obstructive pulmonary disease from integrative omics and clustering in lung tissue.
Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 12 citations in OpenAlex.
- The Evolving Landscape of COPD Typization.Medicina (Kaunas, Lithuania) · 2026Review
- PRRs-related genes and immune landscape in heart failure and COPD.Scientific reports · 2026Article
- Systems Biology and Multi-Omics in Asthma and COPD: A Systematic Review of Computational Approaches (2010-2024).Journal of asthma and allergy · 2026Review
- Toward precision medicine in COPD: phenotypes, endotypes, biomarkers, and treatable traits.Respiratory research · 2025Review
- Computational identification of key genetic drivers in COPD: A first step towards uncovering candidate biomarkers in smokers.Biochemistry and biophysics reports · 2025Article
- Contemporary Concise Review 2024: Chronic Obstructive Pulmonary Disease.Respirology (Carlton, Vic.) · 2025Review
- The lung proteome in HIV-associated obstructive lung disease.ERJ open research · 2025Article
- Piece of Cake: Slicing through the Complex Layers of Chronic Obstructive Pulmonary Disease with Lung Tissue Network Analysis.American journal of respiratory and critical care medicine · 2024Article
- The Lung Microbiome in COPD and Lung Cancer: Exploring the Potential of Metal-Based Drugs.International journal of molecular sciences · 2023Review
- A Macrophage-Related Gene Signature for Identifying COPD Based on Bioinformatics and ex vivo Experiments.Journal of inflammation research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundChronic obstructive pulmonary disease (COPD) is a highly morbid and heterogenous disease. While COPD is defined by spirometry, many COPD characteristics are seen in cigarette smokers with normal spirometry. The extent to which COPD and COPD heterogeneity is captured in omics of lung tissue is not known.
methodsWe clustered gene expression and methylation data in 78 lung tissue samples from former smokers with normal lung function or severe COPD. We applied two integrative omics clustering methods: (1) Similarity Network Fusion (SNF) and (2) Entropy-Based Consensus Clustering (ECC).
resultsSNF clusters were not significantly different by the percentage of COPD cases (48.8% vs. 68.6%, p = 0.13), though were different according to median forced expiratory volume in one second (FEV
conclusionsUnsupervised clustering analysis from integrated gene expression and methylation data in lung tissue resulted in clusters with modest concordance with COPD, though were enriched in pathways potentially contributing to COPD-related pathology and heterogeneity.
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.