Publication
miR-486-3p, miR-139-5p, and miR-21 as Biomarkers for the Detection of Oral Tongue Squamous Cell Carcinoma.
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- 05/20/2025
- Type of Material
- Authors
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Tianwei Yu, Emory UniversityZ Chen, Center for Molecular Biology of Oral Diseases, Department of Periodontics, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA.RJ Cabay, Department of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA.Y Jin, Center for Molecular Biology of Oral Diseases, Department of Periodontics, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA.I Mahjabeen, Center for Molecular Biology of Oral Diseases, Department of Periodontics, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA.
- Language
- English
- Date
- 2017
- Publisher
- SAGE Publications Ltd
- Publication Version
- Copyright Statement
- © 2017 SAGE Publications.
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 9
- Start Page
- 1179299X1700900001
- End Page
- 1179299X1700900001
- Grant/Funding Information
- YJ is supported by a T32 training grant (DE018381) from NIH/NIDCR. IM is supported by a scholarship under the International Research Support Initiative Program from Higher Education Commission of Pakistan. The authors confirm that the funder had no influence over the study design, content of the article, or selection of this journal.
- This research was made possible, in part, by NIH PHS grants (CA139596 and CA171436) and the Lilly USA Research Award in Cancer Prevention and Early Detection funded by Lilly USA, LLC and awarded by Prevent Cancer Foundation to XZ. YJ is supported by a T32 training grant (DE018381) from NIH/NIDCR.
- Supplemental Material (URL)
- Abstract
- Oral tongue squamous cell carcinoma (TSCC) is a complex disease with extensive genetic and epigenetic defects, including microRNA deregulation. The aims of the present study were to test the feasibility of performing the microRNA profiling analysis on archived TSCC specimens and to assess the potential diagnostic utility of the identified microRNA biomarkers for the detection of TSCC. TaqMan array-based microRNA profiling analysis was performed on 10 archived TSCC samples and their matching normal tissues. A panel of 12 differentially expressed microRNAs was identified. Eight of these differentially expressed microRNAs were validated in an independent sample set. A random forest (RF) classification model was built with miR-486-3p, miR-139-5p, and miR-21, and it was able to detect TSCC with a sensitivity of 100% and a specificity of 86.7% (overall error rate = 6.7%). As such, this study demonstrated the utility of the archived clinical specimens for microRNA biomarker discovery. The feasibility of using microRNA biomarkers (miR-486-3p, miR-139-5p, and miR-21) for the detection of TSCC was confirmed.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Pathology
- Biology, Biostatistics
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