ArticleMolecular genetics & genomic medicine2019
Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.
Article in Molecular genetics & genomic medicine, 2019. 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, 28 citations in OpenAlex.
- Metabolic-immune crosstalk in head and neck squamous cell carcinoma: CD44 and APP identified as causal therapeutic targets via integrated lactylation-Mendelian randomization analysis.Frontiers in immunology · 2026Article
- Elucidating gastric cancer mechanisms and therapeutic potential of Adociaquinone A targeting EGFR: A genomic analysis and Computer Aided Drug Design (CADD) approach.Journal of cellular and molecular medicine · 2024Article
- Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR-mutated lung adenocarcinoma.FEBS open bio · 2024Article
- Anti-Tumor Activity and Mechanism of Silibinin Based on Network Pharmacology and Experimental Verification.Molecules (Basel, Switzerland) · 2024Article
- Identification of prognostic biomarkers of smoking-related lung cancer.Journal of thoracic disease · 2024Article
- Targeting exercise-related genes and placental growth factor for therapeutic development in head and neck squamous cell carcinoma.Frontiers in pharmacology · 2024Article
- LncRNA TM4SF19-AS1 exacerbates cell proliferation, migration, invasion, and EMT in head and neck squamous cell carcinoma via enhancing LAMC1 expression.Cancer biology & therapy · 2022Article
- Comparisons of Forecasting for Survival Outcome for Head and Neck Squamous Cell Carcinoma by using Machine Learning Models based on Multi-omics.Current genomics · 2022Article
- Identity of MMP1 and its effects on tumor progression in head and neck squamous cell carcinoma.Cancer medicine · 2022Article
- Anti-POSTN and Anti-TIMP1 Autoantibodies as Diagnostic Markers in Esophageal Squamous Cell Carcinoma.Frontiers in genetics · 2022Article
- Article
- A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients.Scientific reports · 2021Article
- Identification of four key prognostic genes and three potential drugs in human papillomavirus negative head and neck squamous cell carcinoma.Cancer cell international · 2021Article
- Identification of Novel Prognostic Markers Associated With Laryngeal Squamous Cell Carcinoma Using Comprehensive Analysis.Frontiers in oncology · 2021Article
- An integrated approach to biomarker discovery reveals gene signatures highly predictive of cancer progression.Scientific reports · 2020Article
- Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.Translational cancer research · 2020Article
- Integrated bioinformatics analysis identifies microRNA-376a-3p as a new microRNA biomarker in patient with coronary artery disease.American journal of translational research · 2020Article
- Combination of serum matrix metalloproteinase-3 activity and EBV antibodies improves the diagnostic performance of nasopharyngeal carcinoma.Journal of Cancer · 2020Article
- Novel Prognostic Model Based on Immune Signature for Head and Neck Squamous Cell Carcinoma.BioMed research international · 2020Article
- The Significance of Secreted Phosphoprotein 1 in Multiple Human Cancers.Frontiers in molecular biosciences · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHead and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide, exhibiting high morbidity and mortality. The prognosis of HNSCC patients has remained poor, though considerable efforts have been made to improve the treatment of this cancer. Therefore, identifying significant differentially expressed genes (DEGs) involved in HNSCC progression and exploiting them as novel biomarkers or potential therapeutic targets for HNSCC is highly valuable.
methodsOverlapping differentially expressed genes (DEGs) were screened out from three independent gene expression omnibus (GEO) datasets and subjected to GO and kyoto encyclopedia of genes and genomes pathway enrichment analyses. The protein-protein interactions network of DEGs was constructed in the STRING database, and the top ten hub genes were selected using cytoHubba. The relative expression of hub genes was detected in GEPIA, Oncomine, and human protein atlas (HPA) databases. Furthermore, the relationship of hub genes with the overall survival and disease-free survival in HNSCC patients was investigated using the cancer genome atlas data.
resultsThe top ten hub genes (SPP1, POSTN, COL1A2, FN1, IGFBP3, APP, MMP3, MMP13, CXCL8, and CXCL12) could be utilized as potential diagnostic indicators for HNSCC. The relative levels of FN1, APP, SPP1, and POSTN could be associated with the prognosis of HNSCC patients. The mRNA expression of APP and COL1A2 was validated in HNSCC samples.
conclusionThis study identified effective and reliable molecular biomarkers for diagnosis and prognosis by integrated bioinformatics analysis, suggesting novel and essential therapeutic targets for HNSCC.
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