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Oral Oncol. 2019 Sep;96:113-120. doi: 10.1016/j.oraloncology.2019.07.013. Epub 2019 Jul 18.

Non-invasive screening of a microRNA-based dysregulation signature in oral cancer and oral potentially malignant disorders.

Author information

1
Melbourne Dental School, University of Melbourne, Victoria, Australia. Electronic address: tspyap@unimelb.edu.au.
2
Melbourne Dental School, University of Melbourne, Victoria, Australia; Oral Health Cooperative Research Centre, Melbourne, Victoria, Australia.
3
Department of Surgery, Royal Melbourne Hospital, Victoria, Australia.
4
Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Victoria, Australia.
5
The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia; Department of Surgery, The University of Melbourne, The Royal Melbourne Hospital, Parkville, Victoria 3050, Australia.
6
Department of Oral and Maxillofacial Surgery, Royal Melbourne Hospital, Victoria, Australia.

Abstract

INTRODUCTION:

We have previously shown that oral swirls are a robust source of microRNA protected by extracellular vesicles, potentially useful to detect oral squamous cell carcinoma (OSCC)-associated molecular aberration.

OBJECTIVES:

To study a developed dysregulation score and risk classification algorithm based upon a panel of OSCC-associated microRNA in oral swirls from individuals with OSCC and oral potentially malignant disorders (OPMDs).

MATERIALS AND METHODS:

An OSCC-associated panel of 5 microRNAs (miR-24; miR-21; miR-99a; let-7c; miR-100;) was quantified by qPCR in 190 individuals with and without mucosal abnormalities, including OSCC (n = 53) and OPMDs (n = 74). Each sample was analyzed using a developed dysregulation score (dSCORE) and risk classification algorithm, allocating a LOW- or HIGH-RISK score. The influence of demographic, systemic, oral health and mucosal disease factors on the developed test was analyzed.

RESULTS:

MicroRNA for analysis can be predictably isolated from oral swirls sourced from individuals with a range of demographic, systemic and oral health findings. Utilizing the presence of HIGH-RISK identified OSCC patients with 86.8% sensitivity and 81.5% specificity. Older age and female gender were associated with higher dSCOREs and higher proportions of HIGH-RISK classification amongst individuals with no mucosal abnormalities. The dSCOREs for all subgroups of OPMDs were significantly different from the OSCC group.

CONCLUSION:

This is the first comparison of microRNA sourced from oral swirls from individuals with OPMDs with individuals with and without OSCC. A HIGH-RISK dysregulation signature was found to be accurate in indicating the presence of OSCC and exampled to parallel malignant transformation.

KEYWORDS:

Biomarker; Cancer; Dysplasia; Extracellular vesicles; Leukoplakia; Lichen planus; Oral; Potentially malignant; Saliva; microRNA

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