ArticleOncotarget2017
Systemic bioinformatics analysis of recurrent aphthous stomatitis gene expression profiles.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Comprehensive Evaluation of Anti-PD-1, Anti-PD-L1, Anti-CTLA-4 and Their Combined Immunotherapy in Clinical Trials: A Systematic Review and Meta-analysis.Frontiers in pharmacology · 2022Pooled it
- Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic data of ovarian cancer.Briefings in bioinformatics · 2025Article
- Efficacy and Safety of Propolis for Treating Recurrent Aphthous Stomatitis (RAS): A Systematic Review and Meta-Analysis.Dentistry journal · 2024Review
- Article
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- Inhibition of DEK Enhances Doxorubicin-Induced Apoptosis and Cell Cycle Arrest in T-Cell Acute Lymphoblastic Leukemia Cells.Disease markers · 2022Article
- Vaginal microecological characteristics of women in different physiological and pathological period.Frontiers in cellular and infection microbiology · 2022Review
- Advances in multi-omics research on viral hepatitis.Frontiers in microbiology · 2022Review
- Current treatment of chronic hepatitis B: Clinical aspects and future directions.Frontiers in microbiology · 2022Review
- Analysis of S gene characteristic sequences and changes in properties of protein expression in HBV ASCs with low-level HBsAg.Frontiers in medicine · 2022Article
- Advances in the application of proteomics in lung cancer.Frontiers in oncology · 2022Review
- Construction and validation of a prognostic model for hepatocellular carcinoma: Inflammatory ferroptosis and mitochondrial metabolism indicate a poor prognosis.Frontiers in oncology · 2022Article
- The Interaction Between Autophagy and JAK/STAT3 Signaling Pathway in Tumors.Frontiers in genetics · 2022Review
- Tumor-Originated Exosomal hsa-miR-3937 as a Minimally Invasive Early Biomarker for Liquid Biopsy of Colorectal Cancer.Journal of oncology · 2022Article
- Network Pharmacology-Based Exploration of Synergistic Mechanism of Guanxin II Formula (II) for Coronary Heart Disease.Chinese journal of integrative medicine · 2021Article
- Identification of a Ubiquitin Related Genes Signature for Predicting Prognosis of Prostate Cancer.Frontiers in genetics · 2021Article
- Plasma Exosome-Derived SENP1 May Be a Potential Prognostic Predictor for Melanoma.Frontiers in oncology · 2021Article
- Essentials of recurrent aphthous stomatitis.Biomedical reports · 2019Article
- Analysis of Effect ofFrontiers in pharmacology · 2019Article
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 at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recurrent aphthous stomatitis (RAS) represents the most common chronic oral diseases with the prevalence ranges from 5% to 25% for different populations. Its pathogenesis remains poorly understood, which limits the development of effective drugs and treatment methods. In this study, we conducted systemic bioinformatics analysis of gene expression profiles from the Gene Expression Omnibus (GEO) to identify potential drug targets for RAS. We firstly downloaded the gene microarray datasets with the accession number of GSE37265 from GEO and performed robust multi-array (RMA) normalization with affy R programming package. Secondly, differential expression genes (DEGs) in RAS samples compared with control samples were identified based on limma package. Enriched gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs were obtained through the Database for Annotation, Visualization and Integrated Discovery (DAVID). Finally, protein-protein interaction (PPI) network was constructed based on the combination of HPRD and BioGrid databases. What's more, we identified modules of PPI network through MCODE plugin of Cytoscape for the purpose of screening of valuable targets. As a result, 915 genes were found to be significantly differential expression in RAS samples and biological processes related to immune and inflammatory response were significantly enriched in those genes. Network and module analysis identified FBXO6, ITGA4, VCAM1 and etc as valuable therapeutic targets for RAS. Finally, FBXO6, ITGA4, and VCAM1 were further confirmed by real time RT-PCR and western blot. This study should be helpful for the research and treatment of RAS.
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Registered trials
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