A ceRNA-associated risk model predicts the poor prognosis for head and neck squamous cell carcinoma patients.

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,

SUBMITTER: Xu Y 

PROVIDER: S-EPMC7973582 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature