Raman Spectral Properties of Squamous Cell Carcinoma
of Oral Tissues and Cells¹

L. Su^a, Y. F. Sun^b, Y. Chen^a, P. Chen^a, A. G. Shen^a, *, X. H. Wang^a,
J. Jia^b, Y. F. Zhao^b, X. D. Zhou^a, and J. M. Hu^a, **

^a Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education),
College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072 China

^b The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST)
and Key Laboratory of Oral Biomedical Engineering of Ministry of Education, School and Hospital of Stomatology,
Wuhan University, Wuhan, 430072 China

*e-mail: agshen@whu.edu.cn

**e-mail: jmhu@whu.edu.cn

Received July 13, 2011; in final form July 29, 2011; published online November 28, 2011

Abstract—Early diagnosis is the key of the improved survival rates of oral cancer. Raman spectroscopy is sen-
sitive to the early changes of molecular composition and structure that occur in benign lesion during carcino-
genesis. In this study, in situ Raman analysis provided distinct spectra that can be used to discriminate between
normal and malignant tissues, as well as normal and cancer cells. The biochemical variations between different
groups were analyzed by the characteristic bands by comparing the normalized mean spectra. Spectral profiles
of normal, malignant conditions show pronounced differences between one another, and multiple Raman mark-
ers associated with DNA and protein vibrational modes have been identified that exhibit excellent discrimina-
tion power for cancer sample identification. Statistical analyses of the Raman data and classification using prin-
cipal component analysis (PCA) are shown to be effective for the Raman spectral diagnosis of oral mucosal
diseases. The results indicate that the biomolecular differences between normal and malignant conditions are
more obviously at the cellular level. This technique could provide a research foundation for the Raman spectral
diagnosis of oral mucosal diseases.

DOI: 10.1134/S1054660X12010185

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