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Bhat, Supriya
- Analysis and Comparison of Salivary L-Fucose and HSP 70 in Oral Potentially Malignant Disorders and Oral Cancer
Authors
1 Lecturer, Nitte (Deemed to be University), A.B. Shetty Memorial Institute of Dental Sciences, Department of Oral Medicine and Radiology, IN
2 Professor, Nitte (Deemed to be University), A.B. Shetty Memorial Institute of Dental Sciences, Department of Oral Medicine and Radiology, IN
3 Professor, Nitte (Deemed to be University), K.S Hegde Medical Academy, Department of Biochemistry, IN
4 Professor, Nitte (Deemed to be University), A.B. Shetty Memorial Institute of Dental Sciences, Department of Orthodontics, IN
5 Lecturer, Manipal College of Dental Sciences, Manipal Academy of Higher Education, IN
6 Assistant Professor, Ph.D., Scholar, Yenepoya (Deemed to be University), Yenepoya Dental College, Department of Oral Medicine and Radiology, IN
7 Research Scholar, Nitte (Deemed to be University), K.S. Hegde Medical Academy, Central Research Laboratory, Mangalore, IN
Source
Indian Journal of Public Health Research & Development, Vol 11, No 2 (2020), Pagination: 29-33Abstract
The aim of this study was to assess the level of salivary L-Fucose and Heat Shock Protein 70 in subjects in subjects with Oral Potentially Malignant Disorders and Oral Cancer.\
Method & Results: The study was done among 90 subjects - 30 healthy subjects, 30 subjects with Oral Potentially Malignant Disorders and 30 subjects with Oral Cancer. Saliva samples were collected and the levels of L-Fucose and HSP-70 were determined. Data obtained was analyzed using ANOVA test for the comparison between the groups. Post hoc tukey`s analysis was used for comparing the study groups to the control group.The levels of L-Fucose and HSP-70 in saliva were increased significantly in subjects with Oral potentially malignant disorders and Oral Cancer in comparison to the healthy subjects.
Conclusion: Elevated levels of HSP 70 and L-fucose in saliva in oral potentially malignant disorders and oral cancer indicate their usefulness as biomarkers for early prediction.