ArticleTranslational cancer research2020
Comprehensive analysis reveals novel gene signature in head and neck squamous cell carcinoma: predicting is associated with poor prognosis in patients.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
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- Immune cell-related gene signatures for diagnostic and prognostic stratification in thyroid cancer using machine learning analysis.Discover oncology · 2026Article
- Association of Gene Expression Profiles in HPV-Positive Head and Neck Squamous Cell Carcinoma with Patient Outcome: In Search of Prognostic Biomarkers.International journal of molecular sciences · 2025Article
- Article
- ULBP2 Promotes Tumor Progression by Suppressing NKG2D-Mediated Anti-Tumor Immunity.International journal of molecular sciences · 2025Article
- A deep learning method for classification of HNSCC and HPV patients using single-cell transcriptomics.Frontiers in molecular biosciences · 2024Article
- Targeting exercise-related genes and placental growth factor for therapeutic development in head and neck squamous cell carcinoma.Frontiers in pharmacology · 2024Article
- A pan-cancer analysis of pituitary tumor-transforming 3, pseudogene.American journal of translational research · 2023Article
- Biomarker Discovery for Meta-Classification of Melanoma Metastatic Progression Using Transfer Learning.Genes · 2022Article
- Do or Die: HPV E5, E6 and E7 in Cell Death Evasion.Pathogens (Basel, Switzerland) · 2022Review
- Integrative analysis reveals methylenetetrahydrofolate dehydrogenase 1-like as an independent shared diagnostic and prognostic biomarker in five different human cancers.Bioscience reports · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHead and neck squamous cell carcinoma (HNSC) remains an important public health problem, with classic risk factors being smoking and excessive alcohol consumption and usually has a poor prognosis. Therefore, it is important to explore the underlying mechanisms of tumorigenesis and screen the genes and pathways identified from such studies and their role in pathogenesis. The purpose of this study was to identify genes or signal pathways associated with the development of HNSC.
methodsIn this study, we downloaded gene expression profiles of GSE53819 from the Gene Expression Omnibus (GEO) database, including 18 HNSC tissues and 18 normal tissues. The differentially expressed genes (DEGs) were identified using the Linear Models for Microarray Data R package. Adjusted P values <0.01 and |log2 fold change (FC)| ≥2 was regarded as the filter condition. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of these DEGs were performed on the Database for Annotation, Visualization, and Integrated Discovery (DAVID) online website. Protein-protein interaction (PPI) network was built to visualize the interactions between these DEGs using the STRING online website. Finally, hub genes were identified by The Cancer Genome Atlas (TCGA) database.
resultsA total of 604 DEGs consisting of 159 upregulated genes and 445 downregulated genes were selected. From these DEGs, prognostic related genes could serve as potential biomarkers for the molecular diagnosis and therapeutic intervention of HNSC were identified. Including the known genes,
conclusionsIn summary, we indicated genes associated with prognostic in patients, which improve our understanding of HNSC and could be used as new therapeutic targets for HNSC.
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