ArticleBMC oral health2023
Prognostic model based on telomere-related genes predicts the risk of oral squamous cell carcinoma.
Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Single-cell RNA sequencing identifies cancer-associated fibroblast marker genes for determining cancer subtypes in oral squamous cell carcinoma and predicting patient prognosis.Translational cancer research · 2026Article
- Integrated analysis identifies CCNA2 as a candidate diagnostic and prognostic biomarker in oral tongue squamous cell carcinoma.Journal of applied oral science : revista FOB · 2026Article
- Telomere-based Risk Model for Prognosis Prediction in Clear Cell Renal Cell Carcinoma.Current medicinal chemistry · 2026Article
- Identification of telomere-related gene subtypes and prognostic signatures in osteosarcoma.Frontiers in pharmacology · 2025Article
- Article
- Telomere-related gene risk model for prognosis prediction in colorectal cancer.Translational cancer research · 2024Article
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2 authors.
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Abstract
backgroundThis study investigated a potential prognostic model based on telomere-related genes (TRGs) for the clinical prediction of oral squamous cell carcinoma (OSCC).
methodsGene expression data and associated clinical phenotypes were obtained from online databases. Differentially expressed (DE)-TRGs were identified between OSCC and normal samples, followed by protein-protein interaction and enrichment analyses. Subsequently, the prognostic genes explored based on the DE-TRGs and survival data were applied in the establishment of the current prognostic model, and an integrated analysis was performed between high- and low-risk groups using a prognostic model. The expression of certain prognostic genes identified in the present study was validated using qPCR analysis and/or western blot in OSCC cell lines and clinical samples.
results169 DE-TRGs were identified between the OSCC samples and controls. DE-TRGs are mainly involved in functions such as hypoxia response and pathways such as the cell cycle. Eight TRGs (CCNB1, PDK4, PLOD2, RACGAP1, MET, PLK1, KPNA2, and CCNA2) associated with OSCC survival and prognosis were used to construct a prognostic model. qPCR analysis and western blot showed that most of the eight prognostic genes were consistent with the current bioinformatics results. Analysis of the high- and low-risk groups for OSCC determined by the prognostic model showed that the current prognostic model was reliable.
conclusionsA novel prognostic model for OSCC was constructed by TRGs. PLOD2 and APLK1 may participate in the progression of OSCC via responses to hypoxia and cell cycle pathways, respectively. TRGs, including KPNA2 and CCNA2, may serve as novel prognostic biomarkers for OSCC.
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