ArticleMolecular medicine reports2019
Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.
Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
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- Comparative analysis of miRNA-mRNA interaction prediction tools based on experimental head and neck cancer data.Einstein (Sao Paulo, Brazil) · 2025Article
- LncRNA NR2F2-AS1 inhibits the progression of oral squamous cell carcinoma by mediating the miR-32-5p/SEMA3A axis.The Kaohsiung journal of medical sciences · 2024Article
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- HDAC5-mediated PRAME regulates the proliferation, migration, invasion, and EMT of laryngeal squamous cell carcinoma via the PI3K/AKT/mTOR signaling pathway.Open medicine (Warsaw, Poland) · 2023Article
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- Integrated Analysis RevealsFrontiers in oncology · 2020Article
- Identification and Validation of Potential Pathogenic Genes and Prognostic Markers in ESCC by Integrated Bioinformatics Analysis.Frontiers in genetics · 2020Article
- Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.Cancer biomarkers : section A of Disease markers · 2020Article
- Clinical significance and potential mechanisms ofOpen medicine (Warsaw, Poland) · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to identify potential diagnostic and prognostic biomarkers, and treatment targets for head and neck squamous cell carcinoma (HNSCC), the present study obtained the gene expression profiles in HNSCC through public data mining, and core genes were identified using a series of bioinformatics analysis methods and databases. A total of nine hub genes (SPP1, ITGA6, TMPRSS11D, MMP1, LAMC2, FAT1, ACTA1, SERPINE1 and CEACAM1) were identified to be significantly correlated with HNSCC. Furthermore, overall survival analysis demonstrated that the expression values of hub genes were associated with overall survival in HNSCC. Furthermore, certain of the identified genes, including, TMPRSS11D, ACTA1 and CEACAM1, have not been thoroughly investigated in HNSCC previously. Taken together, the nine hub genes obtained by screening in the present study may serve as potential tumor markers and important prognostic indicators for HNSCC.
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