ArticleMolecular medicine reports2016
Expression profile analysis of head and neck squamous cell carcinomas using data from The Cancer Genome Atlas.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Upregulated miR‑203a‑3p and its potential molecular mechanism in breast cancer: A study based on bioinformatics analyses and a comprehensive meta‑analysis.Molecular medicine reports · 2018Pooled it
- Head and neck tumor organoid biobank for modelling individual responses to radiation therapy according to the TP53/HPV status.Journal of experimental & clinical cancer research : CR · 2025Article
- A bioinformatics approach of specificity protein transcription factors in head and neck squamous cell carcinoma.Research in pharmaceutical sciences · 2024Article
- RNA-Based Liquid Biopsy in Head and Neck Cancer.Cells · 2023Review
- A Four-Gene Signature Associated with Radioresistance in Head and Neck Squamous Cell Carcinoma Identified by Text Mining and Data Analysis.Computational and mathematical methods in medicine · 2022Article
- Prognostic association of starvation-induced gene expression in head and neck cancer.Scientific reports · 2021Article
- MicroRNAs in head and neck squamous cell carcinoma: a possible challenge as biomarkers, determinants for the choice of therapy and targets for personalized molecular therapies.Translational cancer research · 2021Review
- Article
- Validation of Gene Profiles for Analysis of Regional Lymphatic Metastases in Head and Neck Squamous Cell Carcinoma.Frontiers in molecular biosciences · 2020Article
- Silencing of Wwox Increases Nuclear Import of Dvl proteins in Head and Neck Cancer.Journal of Cancer · 2020Article
- Identification of SERPINE1, PLAU and ACTA1 as biomarkers of head and neck squamous cell carcinoma based on integrated bioinformatics analysis.International journal of clinical oncology · 2019Article
- MicroRNA expression profiling in the colorectal normal-adenoma-carcinoma transition.Oncology letters · 2019Article
- Clinical update on head and neck cancer: molecular biology and ongoing challenges.Cell death & disease · 2019Review
- Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.BioMed research international · 2019Article
- Label‑free quantitative proteomics and bioinformatics analyses of alcoholic liver disease in a chronic and binge mouse model.Molecular medicine reports · 2018Article
- Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.Molecular medicine reports · 2017Article
- Gene Expression Signatures for Head and Neck Cancer Patient Stratification: Are Results Ready for Clinical Application?Current treatment options in oncology · 2017Review
- Transcriptomic analysis reveals key lncRNAs associated with ribosomal biogenesis and epidermis differentiation in head and neck squamous cell carcinoma.Journal of Zhejiang University. Science. BArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the major histological type of head and neck cancer and no curative treatments are currently available. Using advanced sequencing technologies, The Cancer Genome Atlas (TCGA) has produced large‑scale sequencing data, which provide unprecedented opportunities to reveal molecular mechanisms of cancer. The present study analyzed the mRNA and micro (mi)RNA expression data of HNSCC and normal control tissues released by the TCGA database using a bioinformatics approach to explore underlying molecular mechanisms. The mRNA and miRNA expression data were downloaded from the TCGA database and differentially expressed genes (DEGs) and miRNAs (DEMs) between HNSCC and normal head and neck tissues were identified using TwoClassDif. Subsequently, the gene functions and pathways which are significantly altered in HNSCC were identified using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Regulatory networks among DEGs and DEMs were then constructed, and transcription factors (TFs) potentially regulating the DEGs and DEMs were determined and a TF ‑ miRNA ‑ gene network was established. A total of 2,594 significant DEGs (1,087 upregulated and 1,507 downregulated), and 25 DEMs (8 upregulated and 17 downregulated) were identified in HNSCC compared with normal control samples. These DEGs were significantly enriched in GOs and KEGG pathways such as mitosis, cell cycle, Wnt, JAK/STAT and TLR signaling pathway. CPBP, NF‑AT1 and miR‑1 were situated in the central hub of the TF ‑ miRNA ‑ gene network, underlining their central roles in regulatory processes specific for HNSCC. The present study enhanced the current understanding of the molecular mechanisms underlying HNSCC and may offer novel strategies for its prevention, diagnosis and treatment.
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