Raman mapping of oral buccal mucosa: a spectral histopathology approach.

Abstract

Oral cancer is one of the most common cancers worldwide. One-fifth of the world's oral cancer subjects are from India and other South Asian countries. The present Raman mapping study was carried out to understand biochemical variations in normal and malignant oral buccal mucosa. Data were acquired using WITec alpha 300R instrument from 10 normal and 10 tumors unstained tissue sections. Raman maps of normal sections could resolve the layers of epithelium, i.e. basal, intermediate, and superficial. Inflammatory, tumor, and stromal regions are distinctly depicted on Raman maps of tumor sections. Mean and difference spectra of basal and inflammatory cells suggest abundance of DNA and carotenoids features. Strong cytochrome bands are observed in intermediate layers of normal and stromal regions of tumor. Epithelium and stromal regions of normal cells are classified by principal component analysis. Classification among cellular components of normal and tumor sections is also observed. Thus, the findings of the study further support the applicability of Raman mapping for providing molecular level insights in normal and malignant conditions.

• Authors: Isha Behl, Lekha Kukreja, Atul Deshmukh, S P Singh, Hitesh Mamgain, Arti R Hole, C Murali Krishna
• Journal: Journal of biomedical optics (J Biomed Opt) Vol. 19 Issue 12 Pg. 126005 (Dec 2014) ISSN: 1560-2281 [Electronic] United States
• PMID: 25478870 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Histocytochemistry (methods)
• Humans
• Mouth Mucosa (chemistry, pathology)
• Mouth Neoplasms (chemistry, pathology)
• Principal Component Analysis
• Spectrum Analysis, Raman (methods)