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Identification of Novel MicroRNAs and Their Diagnostic and Prognostic Significance in Oral Cancer

1
Department of Biomedical and Biotechnological Sciences, Oncologic, Clinic and General Pathology Section, University of Catania, 95123 Catania, Italy
2
Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, 95123 Catania, Italy
3
Department of General Surgery and Surgical-Medical Specialties, University of Catania, 95125 Catania, Italy
4
Department of Surgical and Biomedical Sciences, University of Catania, 95123 Catania, Italy
*
Author to whom correspondence should be addressed.
The authors contribute equally to this work.
Cancers 2019, 11(5), 610; https://doi.org/10.3390/cancers11050610
Received: 1 April 2019 / Revised: 28 April 2019 / Accepted: 30 April 2019 / Published: 30 April 2019
(This article belongs to the Special Issue Application of Bioinformatics in Cancers)
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Abstract

Background: Oral cancer is one of the most prevalent cancers worldwide. Despite that the oral cavity is easily accessible for clinical examinations, oral cancers are often not promptly diagnosed. Furthermore, to date no effective biomarkers are available for oral cancer. Therefore, there is an urgent need to identify novel biomarkers able to improve both diagnostic and prognostic strategies. In this context, the development of innovative high-throughput technologies for molecular and epigenetics analyses has generated a huge amount of data that may be used for the identification of new cancer biomarkers. Methods: In the present study, GEO DataSets and TCGA miRNA profiling datasets were analyzed in order to identify miRNAs with diagnostic and prognostic significance. Furthermore, several computational approaches were adopted to establish the functional roles of these miRNAs. Results: The analysis of datasets allowed for the identification of 11 miRNAs with a potential diagnostic role for oral cancer. Additionally, eight miRNAs associated with patients’ prognosis were also identified; six miRNAs predictive of patients’ overall survival (OS) and one, hsa-miR-let.7i-3p, associated with tumor recurrence. Conclusions: The integrated analysis of different miRNA expression datasets allows for the identification of a set of miRNAs that, after validation, may be used for the early detection of oral cancers. View Full-Text
Keywords: oral cancer; miRNA; bioinformatics; datasets; biomarkers; TCGA; GEO DataSets oral cancer; miRNA; bioinformatics; datasets; biomarkers; TCGA; GEO DataSets
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Falzone, L.; Lupo, G.; La Rosa, G.R.M.; Crimi, S.; Anfuso, C.D.; Salemi, R.; Rapisarda, E.; Libra, M.; Candido, S. Identification of Novel MicroRNAs and Their Diagnostic and Prognostic Significance in Oral Cancer. Cancers 2019, 11, 610.

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