title: Raman spectroscopy of normal oral buccal mucosa tissues: study on intact and incised biopsies.
abstract: Oral squamous cell carcinoma is one of among the top 10 malignancies. Optical spectroscopy, including Raman, is being actively pursued as alternative/adjunct for cancer diagnosis. Earlier studies have demonstrated the feasibility of classifying normal, premalignant, and malignant oral ex vivo tissues. Spectral features showed predominance of lipids and proteins in normal and cancer conditions, respectively, which were attributed to membrane lipids and surface proteins. In view of recent developments in deep tissue Raman spectroscopy, we have recorded Raman spectra from superior and inferior surfaces of 10 normal oral tissues on intact, as well as incised, biopsies after separation of epithelium from connective tissue. Spectral variations and similarities among different groups were explored by unsupervised (principal component analysis) and supervised (linear discriminant analysis, factorial discriminant analysis) methodologies. Clusters of spectra from superior and inferior surfaces of intact tissues show a high overlap; whereas spectra from separated epithelium and connective tissue sections yielded clear clusters, though they also overlap on clusters of intact tissues. Spectra of all four groups of normal tissues gave exclusive clusters when tested against malignant spectra. Thus, this study demonstrates that spectra recorded from the superior surface of an intact tissue may have contributions from deeper layers but has no bearing from the classification of a malignant tissues point of view.
authors.affiliation: Chilakapati Laboratory, ACTREC, Kharghar, Navi-Mumbai, India.
authors.forename: Atul
authors.initials: A
authors.lastname: Deshmukh
authors.forename: S P
authors.initials: SP
authors.lastname: Singh
authors.forename: Pankaj
authors.initials: P
authors.lastname: Chaturvedi
authors.forename: C Murali
authors.initials: CM
authors.lastname: Krishna
mesh_terms: D001706:Biopsy; D003238:Connective Tissue / Q000737:chemistry; D016002:Discriminant Analysis; D004848:Epithelium / Q000737:chemistry; D006651:Histocytochemistry / Q000379:methods*; D006801:Humans; D009061:Mouth Mucosa / Q000737:chemistry* / Q000166:cytology; D009062:Mouth Neoplasms / Q000737:chemistry / Q000473:pathology; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted; D013059:Spectrum Analysis, Raman / Q000379:methods*