ArticleInternational journal of molecular sciences2018
Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 36 citations in OpenAlex.
- In-silico and In-vitro Gene Expression Analysis on Docetaxel and Methotrexate-induced Cytotoxicity in Oral Cancer Cell Line.Cell biochemistry and biophysics · 2026Article
- Dissecting the role of epigenetic regulation in oral squamous cell carcinoma microenvironment: mechanisms and therapeutics.Frontiers in immunology · 2026Review
- Dysregulated PI3K/AKT signaling in oral squamous cell carcinoma: The tumor microenvironment and epigenetic modifiers as key drivers.Oncology research · 2025Review
- Integrated bioinformatics analysis of SEMA3C in tongue squamous cell carcinoma using machine-learning strategies.Cancer cell international · 2024Article
- Identification of differentially expressed genes induced by aberrant methylation in acute myeloid leukemia using integrated bioinformatics analyses.Oncology letters · 2022Article
- Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.Hereditas · 2021Article
- Review
- Prognostic Significance of Cytoplasmic SPNS2 Expression in Patients with Oral Squamous Cell Carcinoma.Medicina (Kaunas, Lithuania) · 2021Article
- Expression and gene regulatory network of SNHG1 in hepatocellular carcinoma.BMC medical genomics · 2021Article
- Integrative Multi-Omics Analysis Reveals Candidate Biomarkers for Oral Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
- Identification of Underlying Hub Genes Associated with Hypertrophic Cardiomyopathy by Integrated Bioinformatics Analysis.Pharmacogenomics and personalized medicine · 2021Article
- Proteome Analysis ofFrontiers in oncology · 2021Article
- Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer.Journal of cellular physiology · 2020Article
- Bioinformatics analysis and verification of gene targets for benign tracheal stenosis.Molecular genetics & genomic medicine · 2020Article
- Identification of aberrantly methylated differentially expressed genes and associated pathways in endometrial cancer using integrated bioinformatic analysis.Cancer medicine · 2020Article
- Identification of hub methylated-CpG sites and associated genes in oral squamous cell carcinoma.Cancer medicine · 2020Article
- Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis.Aging · 2020Article
- A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma.Journal of cancer research and clinical oncology · 2020Article
- A novel CpG-based signature for survival prediction of lung adenocarcinoma patients.Experimental and therapeutic medicine · 2020Article
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral squamous cell carcinoma (OSCC) is a malignant disease. Methylation plays a key role in the etiology and pathogenesis of OSCC. The goal of this study was to identify aberrantly methylated differentially expressed genes (DEGs) in OSCCs, and to explore the underlying mechanisms of tumorigenesis by using integrated bioinformatic analysis. Gene expression profiles (GSE30784 and GSE38532) were analyzed using the R software to obtain aberrantly methylated DEGs. Functional enrichment analysis of screened genes was performed using the DAVID software. Protein⁻protein interaction (PPI) networks were constructed using the STRING database. The cBioPortal software was used to exhibit the alterations of genes. Lastly, we validated the results with the Cancer Genome Atlas (TCGA) data. Twenty-eight upregulated hypomethylated genes and 24 downregulated hypermethylated genes were identified. These genes were enriched in the biological process of regulation in immune response, and were mainly involved in the PI3K-AKT and EMT pathways. Additionally, three upregulated hypomethylated oncogenes and four downregulated hypermethylated tumor suppressor genes (TSGs) were identified. In conclusion, our study indicated possible aberrantly methylated DEGs and pathways in OSCCs, which could improve the understanding of the underlying molecular mechanisms. Aberrantly methylated oncogenes and TSGs may also serve as biomarkers and therapeutic targets for the precise diagnosis and treatment of OSCCs in the future.
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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.