ArticleMedical science monitor : international medical journal of experimental and clinical research2017
Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 61 citations in OpenAlex.
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- Identification of Potential Biomarkers Using Integrative Approach: A Case Study of ESCC.SN computer science · 2023Article
- The prognostic value of tumor mutational burden related 6-gene-based Risk Score in laryngeal cancer patients.BMC oral health · 2022Article
- Bioinformatics analysis and identification of genes and pathways involved in patients with Wilms tumor.Translational cancer research · 2022Article
- Critical pathways of oral squamous cell carcinoma: molecular biomarker and therapeutic intervention.Medical oncology (Northwood, London, England) · 2022Review
- Identification of Potential Diagnoses Based on Immune Infiltration and Autophagy Characteristics in Major Depressive Disorder.Frontiers in genetics · 2022Article
- MicroRNA-27a promotes tumorigenesis in tongue squamous cell carcinoma by enhancing proliferation, migration and suppressing apoptosis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021Article
- SPP1 and FN1 are significant gene biomarkers of tongue squamous cell carcinoma.Oncology letters · 2021Article
- Machine learning based anti-cancer drug response prediction and search for predictor genes using cancer cell line gene expression.Genomics & informatics · 2021Article
- Akt kinase LANCL2 functions as a key driver in EGFR-mutant lung adenocarcinoma tumorigenesis.Cell death & disease · 2021Article
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- Deregulation of extracellular matrix modeling with molecular prognostic markers revealed by transcriptome sequencing and validations in Oral Tongue squamous cell carcinoma.Scientific reports · 2021Article
- Systematically Deciphering the Pharmacological Mechanism of Fructus Aurantii via Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma.Oncology letters · 2020Article
- RAP1-RAC1 Signaling Has an Important Role in Adhesion and Migration in HNSCC.Journal of dental research · 2020Article
- [Effect of honokiol on proliferation, migration and apoptosis of human tongue cancer CAL-27 cellsNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- Artesunate targets oral tongue squamous cell carcinoma via mitochondrial dysfunction-dependent oxidative damage and Akt/AMPK/mTOR inhibition.Journal of bioenergetics and biomembranes · 2020Article
- Integrated analysis of transcriptome profiling predicts potential lncRNA and circRNA targets in human nasopharyngeal carcinoma.Oncology letters · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Tongue squamous cell carcinoma (TSCC) is a major type of oral cancers and has remained an intractable cancer over the past decades. The aim of this study was to identify differentially expressed genes (DEGs) during TSCC and reveal their potential mechanisms. MATERIAL AND METHODS The gene expression profiles of GSE13601 were downloaded from the GEO database. The GSE13601 dataset contains 57 samples, including 31 tongue SCC samples and 26 matched normal mucosa samples. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed; Cytoscape software was used for the protein-protein interaction (PPI) network and module analysis of the DEGs. RESULTS We identified a total of 1,050 upregulated DEGs (uDEGs) and 702 downregulated DEGs (dDEGs) of TSCC. The GO analysis results showed that uDEGs were significantly enriched in the following biological processes (BP): signal transduction, positive or negative regulation of cell proliferation, and negative regulation of cell proliferation. The dDEGs were significantly enriched in the following biological processes: signal transduction, cell adhesion, and apoptotic process. The KEGG pathway analysis showed that uDEGs were enriched in metabolic pathways, pathways in cancer, and PI3K-Akt signaling pathway, while the dDEGs were enriched in focal adhesion and ECM-receptor interaction. The top centrality hub genes RAC1, APP, EGFR, KNG1, AGT, and HRAS were identified from the PPI network. Module analysis revealed that TSCC was associated with significant pathways, including neuroactive ligand-receptor interaction, calcium signaling pathway, and chemokine signaling pathway. CONCLUSIONS The present study identified key genes and signal pathways, which deepen our understanding of the molecular mechanisms of carcinogenesis and development of the disease, and might be used as diagnostic and therapeutic molecular biomarkers for TSCC.
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