ArticleFrontiers in immunology2023
Consensus cluster analysis of apoptosis-related genes in patients with osteoarthritis and their correlation with immune cell infiltration.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Machine Learning-Based Identification of Molecular Signatures in PTOA Cell Subtypes via Single-Cell Transcriptomics in a Mouse Model.Stem cell reviews and reports · 2026Article
- Machine learning-based prognostic model of stemness and angiogenesis-related genes for predicting prognosis and immune infiltration in patients with HCC.Scientific reports · 2026Article
- Integrating machine learning with SHAP to uncover multi-tissue molecular signatures in Osteoarthritis progression.PloS one · 2026Article
- Nuclear binding SET domain 1 alleviates cartilage ferroptosis in knee osteoarthritis by upregulating the krüppel-like factor 9/autophagy-related 14 pathway via H3K36me2 modification.Journal of cell communication and signaling · 2025Article
- Kruppel-like factor 9 may regulate the inflammatory injury of chondrocytes by affecting NF-κB signaling.Journal of orthopaedic surgery and research · 2025Article
- KLF9, Epigenetic Silenced by DNMT1, Promotes ERK-Mediated Ferroptosis of Osteoarthritic Chondrocytes Through Transcriptionally Regulating CYP1B1.Journal of cellular and molecular medicine · 2025Article
- Exosomes of stem cells: a potential frontier in the treatment of osteoarthritis.Precision clinical medicine · 2025Review
- Identification of Lipophagy-Related Gene Signature for Diagnosis and Risk Prediction of Alzheimer's Disease.Biomedicines · 2025Article
- Exploration of differential expression and biological significance of amino acid metabolism genes in osteoarthritis.Frontiers in immunology · 2025Article
- The Interplay of Aging and PANoptosis in Osteoarthritis Pathogenesis: Implications for Novel Therapeutic Strategies.Journal of inflammation research · 2025Review
- Enhanced therapeutic potential of a self-healing hyaluronic acid hydrogel for early intervention in osteoarthritis.Materials today. Bio · 2024Article
- Alteration of the metabolite interconversion enzyme in sperm and Sertoli cell of non-obstructive azoospermia: a microarray data and in-silico analysis.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Osteoarthritis (OA) progression involves multiple factors, including cartilage erosion as the basic pathological mechanism of degeneration, and is closely related to chondrocyte apoptosis. To analyze the correlation between apoptosis and OA development, we selected apoptosis genes from the differentially expressed genes (DEGs) between OA and normal samples from the Gene Expression Omnibus (GEO) database, used lasso regression analysis to identify characteristic genes, and performed consensus cluster analysis to further explore the pathogenesis of this disease. Methods: The Gene expression profile datasets of OA samples, GSE12021 and GSE55235, were downloaded from GEO. The datasets were combined and analyzed for DEGs. Apoptosis-related genes (ARGs) were collected from the GeneCards database and intersected with DEGs for apoptosis-related DEGs (ARDEGs). Least absolute shrinkage and selection operator (LASSO) regression analysis was performed to obtain characteristic genes, and a nomogram was constructed based on these genes. A consensus cluster analysis was performed to divide the patients into clusters. The immune characteristics, functional enrichment, and immune infiltration statuses of the clusters were compared. In addition, a protein-protein interaction network of mRNA drugs, mRNA-transcription factors (TFs), and mRNA-miRNAs was constructed. Results: A total of 95 DEGs were identified, of which 47 were upregulated and 48 were downregulated, and 31 hub genes were selected as ARDEGs. LASSO regression analysis revealed nine characteristic genes: growth differentiation factor 15 ( Conclusion: ARGs could predict the occurrence of OA and may be related to different degrees of OA progression.
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.