Abstract
BACKGROUND: To identify differently expressed circular RNA (circRNA) in oral squamous cell carcinoma (OSCC) and adjacent normal tissue, construct a hsa_circ_0112879-related microRNAs (miRNAs) prognostic model, and discuss the circRNA as a biomarker for early diagnosis of OSCC. METHODS: The expression of hsa_circ_0112879 in OSCC cell lines and tissues was detected by quantitative real-time polymerase chain reaction (qRT-PCR). A receiver operating characteristic (ROC) curve was plotted to estimate its clinical significance. The potential miRNA and messenger RNA (mRNA) binding to hsa_circ_009755 were predicted by R software edgeR package. Based on the median value of the risk score in the all-sample cohort, all the included patients with OSCC were divided into either high- or low-risk groups, and Kaplan-Meier analysis was performed. The ROC curve was used to verify the accuracy of the risk signature in predicting the prognosis of OSCC. By univariable Cox, least absolute shrinkage and selection operator (LASSO), and multivariable Cox analyses, we constructed a hsa_circ_0112879-related miRNAs risk model to forecast the prognosis of OSCC. RESULTS: The expression of hsa_circ_0112879 was significantly downregulated in the OSCC tissues and cell lines. The expression level was statistically correlated with the pathological differentiation of OSCC tumors (P=0.0285). Furthermore, 141 differentially expressed hsa_circ_0112879-related miRNAs were obtained [|log(2)FC| >1, false discovery rate (FDR) <0.05], of which 70 miRNAs were up-regulated in OSCC tissues, whereas 71 miRNAs were down-regulated in OSCC tissues. The area under the ROC curve (AUC) at 1-, 3-, and 5-year in the all-sample cohort was 0.591, 0.689, and 0.618, respectively. The toll-like receptor signaling pathway, Janus tyrosine kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway, nucleotide-binding and oligomerization domain (NOD)-like receptor signaling pathway, and T-cell receptor (TCR) signaling pathway were mainly enriched in the high-risk group. CONCLUSIONS: The model and nomogram constructed herein has the ability to discriminate the prognosis of OSCC patients. Hsa_circ_0112879 may serve as a novel biomarker in the diagnosis and prognosis of OSCC.