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Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies
Published on: August 11, 2023
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Exploratory Raman Spectroscopic Studies of Canine Oral Tumour Types.
Priyanka A Jadhav1,2, Arti Hole1, Panchali Saha1,2
1Chilakapati Laboratory, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Kharghar, Navi Mumbai, India.
Journal of Biophotonics
|February 9, 2025
Summary
Raman Spectroscopy (RS) can differentiate canine oral tumors like Epulis, Spindle cell sarcoma (SCS), and Squamous cell carcinoma (SCC). This technique shows promise for non-invasive cancer diagnosis in dogs.
Area of Science:
- Veterinary Oncology
- Biomedical Spectroscopy
- Comparative Pathology
Background:
- Canine cancers, particularly oral tumors, are significant due to their spontaneous occurrence and similarities to human cancers.
- Understanding canine oral tumor types is crucial for determining disease severity, treatment, and prognosis.
- Raman Spectroscopy (RS) offers a potential method for tissue analysis and cancer stratification.
Purpose of the Study:
- To evaluate the potential of tissue-based Raman Spectroscopy (RS) for stratifying canine oral cancers.
- To identify characteristic spectral features for distinguishing between normal canine tissue and specific oral tumor types.
- To assess the diagnostic accuracy of RS in classifying canine oral tumors.
Main Methods:
- Acquisition of Raman spectra from histopathologically confirmed normal canine tissue and oral tumors (Epulis, Spindle cell sarcoma (SCS), Squamous cell carcinoma (SCC)).
- Utilized a Raman confocal microscope with a 532 nm laser for spectral data collection.
- Pre-processed spectral data and performed multivariate analyses, including Principal Component Linear Discriminant Analysis (PC-LDA).
Main Results:
- Raman spectra were successfully acquired and analyzed for different canine oral tissue types.
- Multivariate analysis using PC-LDA achieved an overall classification accuracy greater than 70% in distinguishing between normal and tumor tissues.
- Characteristic spectral features were identified, indicating the potential for RS in tumor type identification.
Conclusions:
- Raman Spectroscopy demonstrates potential for identifying and stratifying canine oral tumor types based on spectral signatures.
- The study highlights the feasibility of using RS for non-invasive cancer diagnosis in veterinary medicine.
- Further large-scale in vivo studies are warranted to validate these findings in canine cancer patients.

