Profiling Salivary Mirna Expression Levels in Fanconi Anemia Patients - a Pilot Study

Authors

Kai Dun Tang, Faculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia.
José M. Amenábar, Faculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia.
Juliana L. Schussel, Stomatology Department, Universidade Federal Do Paraná, Curitiba, Brazil.
Cassius Carvalho Torres-Pereira, Stomatology Department, Universidade Federal Do Paraná, Curitiba, Brazil.
Carmem Bonfim, Bone Marrow Transpantation Unit, Hospital de Clínicas, Universidade Federal Do Paraná, Curitiba, Brazil.
Nevenka Dimitrova, New York Medical College, Valhalla, NY, USA.
Gunter Hartel, Statistics Unit, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Chamindie Punyadeera, Faculty of Health, School of Biomedical Sciences, Centre for Biomedical Technology, Queensland University of Technology, Saliva & Liquid Biopsy Translational Laboratory and Translational Research Institute, Griffith University, 46 Don Yong Road, Nathan, Brisbane, QLD, Australia. c.punyadeera@griffith.edu.au.

Author Type(s)

Faculty

DOI

10.1007/s10266-023-00834-9

Journal Title

Odontology

First Page

299

Last Page

308

Document Type

Article

Publication Date

1-1-2024

Department

Pathology, Microbiology and Immunology

Abstract

The overarching goal of this study is to predict the risk of developing oral squamous cell carcinoma (OSCC) in Fanconi anemia (FA) patients. We have compared the microRNA (miRNA, miR) expression levels in saliva samples from FA patients (n = 50) who are at a low-moderate and/or high risk of developing OSCC to saliva samples from healthy controls (n = 16). The miRNA expression levels in saliva samples were quantified using qPCR. We observed that miR-744, miR-150-5P, and miR-146B-5P had the best discriminatory capacity between FA patients and controls, with an area under the curve (AUC) of 94.0%, 92.9% and 85.3%, respectively. Our data suggest that miR-1, miR-146B-5P, miR-150-5P, miR-155-5P, and miR-744 could be used as panel to predict the risk of developing OSCC in FA patients, with a 89.3% sensitivity and a 68.2% specificity (AUC = 81.5%). Our preliminary data support the notion that the expression levels of salivary miRNAs have the potential to predict the risk of developing OSCC in FA patients and in the future may reduce deaths associated with OSCC.

Recommended Citation

Tang, K. D., Amenábar, J. M., Schussel, J. L., Torres-Pereira, C. C., Bonfim, C., Dimitrova, N., Hartel, G., & Punyadeera, C. (2024). Profiling Salivary Mirna Expression Levels in Fanconi Anemia Patients - a Pilot Study. Odontology, 112 (1), 299-308. https://doi.org/10.1007/s10266-023-00834-9