ArticleScientific reports2021
A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 28 citations in OpenAlex.
- Pseudogene pair-based prognostic model reveals LAT as a biomarker of immune response in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Artificial intelligence-based epigenomic, transcriptomic and histologic signatures of tobacco use in oral squamous cell carcinoma.NPJ precision oncology · 2024Article
- Article
- Data mining on identifying diagnosis and prognosis biomarkers in head and neck squamous carcinoma.Scientific reports · 2023Article
- Identification of a novel ceRNA network related to prognosis and immunity in HNSCC based on integrated bioinformatic investigation.Scientific reports · 2022Article
- Article
- Cystatin-B Negatively Regulates the Malignant Characteristics of Oral Squamous Cell Carcinoma PossiblyFrontiers in oncology · 2021Article
- Identification and Validation of an EMT-Related LncRNA Signature for HNSCC to Predict Survival and Immune Landscapes.Frontiers in cell and developmental biology · 2021Article
- Salivary Metabolomics for Prognosis of Oral Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
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Authors and funding
9 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 one of the most malignant cancers with poor prognosis worldwide. Emerging evidence indicates that competing endogenous RNAs (ceRNAs) are involved in various diseases, however, the regulatory mechanisms of ceRNAs underlying HNSCC remain unclear. In this study, we retrieved differentially expressed long non-coding RNAs (DElncRNAs), messenger RNAs (DEmRNAs) and microRANs (DEmiRNAs) from The Cancer Genome Atlas database and constructed a ceRNA-based risk model in HNSCC by integrated bioinformatics approaches. Functional enrichment analyses showed that DEmRNAs might be involved in extracellular matrix related biological processes, and protein-protein interaction network further selected out prognostic genes, including MYL1 and ACTN2. Importantly, co-expressed RNAs identified by weighted co-expression gene network analysis constructed the ceRNA networks. Moreover, AC114730.3, AC136375.3, LAT and RYR3 were highly correlated to overall survival of HNSCC by Kaplan-Meier method and univariate Cox regression analysis, which were subsequently implemented multivariate Cox regression analysis to build the risk model. Our study provides a deeper understanding of ceRNAs on the regulatory mechanisms, which will facilitate the expansion of the roles on the ceRNAs in the tumorigenesis, development and treatment of HNSCC.
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