Literature DB >> 29126766

Raman spectroscopic analysis of oral cells in the high wavenumber region.

Luis Felipe C S Carvalho1, Franck Bonnier2, Cláudio Tellez3, Laurita Dos Santos3, Kate O'Callaghan4, Jeff O'Sullivan4, Luis Eduardo S Soares5, Stephen Flint4, Airton A Martin3, Fiona M Lyng6, Hugh J Byrne7.   

Abstract

Raman spectroscopy can provide a molecular-level signature of the biochemical composition and structure of cells with submicrometer spatial resolution and could be useful to monitor changes in composition for early stage and non-invasive cancer diagnosis, both ex-vivo and in vivo. In particular, the fingerprint spectral region (400-1800cm-1) has been shown to be very promising for optical biopsy purposes. However, limitations for discrimination of dysplastic and inflammatory processes based on the fingerprint region have been demonstrated. In addition, the Raman spectral signal of dysplastic cells is one important source of misdiagnosis of normal versus pathological tissues. The high wavenumber region (2800-3600cm-1) provides more specific information based on NH, OH and CH vibrations and can be used to identify the subtle changes which could be important for discrimination of samples. In this study, we demonstrate the potential of the high-wavenumber spectral region in this context by collecting Raman spectra of nucleolus, nucleus and cytoplasm from oral epithelial cancer (SCC-4) and dysplastic (DOK) cell lines and from normal oral epithelial primary cells, in vitro, in water immersion, which were then analyzed by principal components analysis as a method to discriminate the spectra. Analysis was performed before and after digital subtraction of the bulk water signal. In the normal cell line, the three subcellular regions are well differentiated before water subtraction, although the discrimination of the two nuclear regions is less well defined after water subtraction. Comparing the respective subcellular regions of the three cell lines, before water subtraction, the cell lines can be discriminated using sequential PCA and Feature Discriminant Analysis with up to ~100% sensitivity and 97% specificity for the cytoplasm, which is improved to 100% sensitivity and 99% specificity for the nucleus. The results are discussed in terms of discrimination comparing the CH vibrational modes of nucleic acids, proteins and lipids. The potential role of the OH vibrations, considering free water and confined water, in the discrimination of cell cultures and pathological processes are also discussed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  High-wavenumber; Medical diagnostics; Optical biopsy; Oral cancer; Raman spectroscopy

Mesh:

Year:  2017        PMID: 29126766     DOI: 10.1016/j.yexmp.2017.11.001

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  3 in total

1.  The Potential of Raman Spectroscopy in the Diagnosis of Dysplastic and Malignant Oral Lesions.

Authors:  Ola Ibrahim; Mary Toner; Stephen Flint; Hugh J Byrne; Fiona M Lyng
Journal:  Cancers (Basel)       Date:  2021-02-04       Impact factor: 6.639

Review 2.  Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases.

Authors:  Yuwei Zhang; Liang Ren; Qi Wang; Zhining Wen; Chengcheng Liu; Yi Ding
Journal:  Front Cell Infect Microbiol       Date:  2022-02-04       Impact factor: 5.293

3.  Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma.

Authors:  Ruiying Han; Nan Lin; Juan Huang; Xuelei Ma
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

  3 in total

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