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14 January 2020 : Clinical Research

Hsa_circ_0086414 Might Be a Diagnostic Biomarker of Oral Squamous Cell Carcinoma

Lin Li1ABCDEF, Zhong-Ti Zhang1AG*

DOI: 10.12659/MSM.919383

Med Sci Monit 2020; 26:e919383

Abstract

BACKGROUND: Circular RNAs (circRNAs), a newly-discovered class of non-coding RNAs, have a significant role in the progression of cancers, but the effect of hsa_circ_0086414 in human oral squamous cell carcinoma (OSCC) is still unclear.

MATERIAL AND METHODS: The circRNAs expression profile in OSCC tissue samples was assessed by high-throughput sequencing. The hsa_circ_0086414 expression level in 55 paired OSCC tissue samples and 2 kinds of OSCC cells was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, the correlation between the hsa_circ_0086414 expression and clinicopathological characteristics of individuals with OSCC was studied. We used receiver operating characteristic (ROC) curves to observe the hsa_circ_0086414 value of diagnosis in OSCC. The network of hsa_circ_0086414-miRNAs-mRNAs was constructed. Gene Ontology (GO), Disease Oncology (DO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out based on sequencing data and bioinformatics predictions.

RESULTS: Hsa_circ_0086414 expression in OSCC tissue samples and OSCC cells was first discovered to be significantly downregulated compared with the adjacent healthy tissues (AHTs) and normal (HaCaT) cells, respectively. Moreover, its expression level was significantly correlated with stage in TNM, size of tumor, and lymph node metastasis. The area below the ROC curve was 0.749. Hsa_circ_0086414-miRNAs-mRNAs network analysis and GO, DO, and KEGG analyses all demonstrated that hsa_circ_0086414 is correlated with cancer progression to a certain extent.

CONCLUSIONS: We discovered that hsa_circ_0086414 might be an essential diagnostic biomarker in OSCC. Furthermore, hsa_circ_0086414 could be a target for OSCC therapy.

Keywords: Biological Markers, Diagnosis

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750