Raman spectral properties of squamous cell carcinoma of oral tissues and cells

Su, Limin; Sun, Yanan; Chen, Y.; Chen, P.; Shen, Aiguo; Wang, X. H.; Jia, Jun; Zhao, Yan; Zhou, Xiaodong; Hu, Jiming

doi:10.1134/s1054660x12010185

Cited by 45 publications

(34 citation statements)

References 35 publications

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“…Consistent with our previous study using FTIR, the distribution of symmetric stretching of nucleic acid was found mainly in the malignant area17. In the study of OSCC using Raman spectroscopy, DNA, nucleic acid and protein associated components were suggested as markers for OSCC discrimination as they were found abundant in malignant tissues21. PC3 loading in Fig.…”

Section: Resultssupporting

confidence: 87%

Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging

Meksiarun

Ishigaki

Huck-Pezzei

et al. 2017

Sci Rep

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This study aimed to extract the paraffin component from paraffin-embedded oral cancer tissue spectra using three multivariate analysis (MVA) methods; Independent Component Analysis (ICA), Partial Least Squares (PLS) and Independent Component - Partial Least Square (IC-PLS). The estimated paraffin components were used for removing the contribution of paraffin from the tissue spectra. These three methods were compared in terms of the efficiency of paraffin removal and the ability to retain the tissue information. It was found that ICA, PLS and IC-PLS could remove the paraffin component from the spectra at almost the same level while Principal Component Analysis (PCA) was incapable. In terms of retaining cancer tissue spectral integrity, effects of PLS and IC-PLS on the non-paraffin region were significantly less than that of ICA where cancer tissue spectral areas were deteriorated. The paraffin-removed spectra were used for constructing Raman images of oral cancer tissue and compared with Hematoxylin and Eosin (H&E) stained tissues for verification. This study has demonstrated the capability of Raman spectroscopy together with multivariate analysis methods as a diagnostic tool for the paraffin-embedded tissue section.

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Section: Resultssupporting

confidence: 87%

Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging

Meksiarun

Ishigaki

Huck-Pezzei

et al. 2017

Sci Rep

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“…They found a larger protein content in pathological tissues than in normal ones, whereas the lipid component was found larger in normal tissue with respect to pathological one. Such results were in agreement with those obtained by Su et al [11]: in fact, they discriminated normal and malignant oral tissues and cells according to Raman signals of DNA and protein components, whose intensities were larger in malignant than in normal tissues and cells. Li et al [12] also detected biochemical variations in oral tissues that are normal, premalignant and malignant, according to the contents of protein, DNA and lipid.…”

Section: Introductionsupporting

confidence: 93%

Discrimination of different degrees of oral squamous cell carcinoma by means of Raman microspectroscopy and atomic force microscopy

et al. 2015

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Graphical abstractRaman microspectroscopy and Atomic Force Microscopy can successfully discriminate two cellular types of cells characterized by different degree of oral squamous cell carcinoma. The discrimination by Raman microspectroscopy occurs according to a larger content of nucleic acids and minor content of protein component in cells characterized by a larger degree of disease, whereas the discrimination by Atomic Force Microscopy is achieved because of a decrease of stiffness as the degree of disease increase. AbstractOral squamous cell carcinoma is a widespread cancer disease whose survival rate is strongly dependent on early diagnosis and on the degree of the malignancy. The conventional histopathology methods, which are currently the standard ones for diagnosis, are very invasive so that they can be hardly proposed as screening methods for an early and accurate detection of disease. Raman microspectroscopy and Atomic Force Microscopy can be potentially considered useful tools for cancer diagnosis and detection of the malignancy degree because they provide information about biochemical cellular content and nanomechanical properties, respectively, which would be modified by the onset and progression of pathology. The present work shows that both such techniques can successfully discriminate the two cellular types of cells characterized by different degree of oral squamous cell carcinoma. The discrimination by Raman microspectroscopy occurs according to a larger content of nucleic acids and minor content of protein component in cells characterized by a larger degree of disease, whereas the discrimination by Atomic Force Microscopy is achieved because of a decrease of stiffness as the degree of disease increase. Overall, both techniques could provide useful diagnostic information related to the degree of malignancy of the oral squamous cell carcinoma disease.

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“…Of clinical relevance, Raman spectroscopy has been explored for routine cytological screening for cervical cancer , Vargis et al 2012. However only a few studies have been published on oral squamous cell carcinoma and Raman micro-spectroscopy (Lasalvia et al, 2015;Su et al, 2012;Guze et al, 2011). The present study demonstrates the potential of Raman spectroscopy to provide and differentiate the biochemical signature from sub-cellular regions of oral cell lines, such as cytoplasm, nucleus and nucleolus, in a label free manner.…”

Section: Introductionmentioning

confidence: 76%