Rights statement: This is the peer reviewed version of the following article: Mian, S. A., Yorucu, C., Ullah, M. S., Rehman, I. U., and Colley, H. E. ( 2017) Raman spectroscopy can discriminate between normal, dysplastic and cancerous oral mucosa: a tissue‐engineering approach. J Tissue Eng Regen Med, 11: 3253– 3262. doi: 10.1002/term.2234 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1002/term.2234 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Raman spectroscopy can discriminate between normal, dysplastic and cancerous oral mucosa: a tissue-engineering approach
AU - Mian, Salman A.
AU - Yorucu, Ceyla
AU - Ullah, Muhammad Saad
AU - Rehman, Ihtesham U.
AU - Colley, Helen E.
N1 - This is the peer reviewed version of the following article: Mian, S. A., Yorucu, C., Ullah, M. S., Rehman, I. U., and Colley, H. E. ( 2017) Raman spectroscopy can discriminate between normal, dysplastic and cancerous oral mucosa: a tissue‐engineering approach. J Tissue Eng Regen Med, 11: 3253– 3262. doi: 10.1002/term.2234 which has been published in final form at https://onlinelibrary.wiley.com/doi/full/10.1002/term.2234 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2017/11/1
Y1 - 2017/11/1
N2 - Head and neck cancer (HNC) is the sixth most common malignancy worldwide. Squamous cell carcinoma, the primary cause of HNC, evolves from normal epithelium through dysplasia before invading the connective tissue to form a carcinoma. However, less than 18% of suspicious oral lesions progress to cancer, with diagnosis currently relying on histopathological evaluation, which is invasive and time consuming. A non‐invasive, real‐time, point‐of‐care method could overcome these problems and facilitate regular screening. Raman spectroscopy is a non‐invasive optical technique with the ability to extract molecular level information to help determine the functional groups present in a tissue and the molecular conformations of tissue constituents. In the present study, Raman spectroscopy was assessed for its ability to discriminate between normal, dysplastic and HNC. Tissue engineered models of normal, dysplastic and HNC were constructed using normal oral keratinocytes, dysplastic and HNC cell lines, and their biochemical content predicted by interpretation of spectral characteristics. Spectral differences were evident in both the fingerprint (600/cm to 1800/cm) and high wave‐number compartments (2800/cm to 3400/cm). Visible differences were seen in peaks relating to lipid content (2881/cm), protein structure (amide I, amide III), several amino acids and nucleic acids (600/cm to 1003/cm). Multivariate data analysis algorithms successfully identified subtypes of dysplasia and cancer, suggesting that Raman spectroscopy not only has the potential to differentiate between normal, pre‐malignant and cancerous tissue models but could also be sensitive enough to detect subtypes of dysplasia or cancer on the basis of their subcellular differences.
AB - Head and neck cancer (HNC) is the sixth most common malignancy worldwide. Squamous cell carcinoma, the primary cause of HNC, evolves from normal epithelium through dysplasia before invading the connective tissue to form a carcinoma. However, less than 18% of suspicious oral lesions progress to cancer, with diagnosis currently relying on histopathological evaluation, which is invasive and time consuming. A non‐invasive, real‐time, point‐of‐care method could overcome these problems and facilitate regular screening. Raman spectroscopy is a non‐invasive optical technique with the ability to extract molecular level information to help determine the functional groups present in a tissue and the molecular conformations of tissue constituents. In the present study, Raman spectroscopy was assessed for its ability to discriminate between normal, dysplastic and HNC. Tissue engineered models of normal, dysplastic and HNC were constructed using normal oral keratinocytes, dysplastic and HNC cell lines, and their biochemical content predicted by interpretation of spectral characteristics. Spectral differences were evident in both the fingerprint (600/cm to 1800/cm) and high wave‐number compartments (2800/cm to 3400/cm). Visible differences were seen in peaks relating to lipid content (2881/cm), protein structure (amide I, amide III), several amino acids and nucleic acids (600/cm to 1003/cm). Multivariate data analysis algorithms successfully identified subtypes of dysplasia and cancer, suggesting that Raman spectroscopy not only has the potential to differentiate between normal, pre‐malignant and cancerous tissue models but could also be sensitive enough to detect subtypes of dysplasia or cancer on the basis of their subcellular differences.
KW - Tissue engineering
KW - oral mucosa
KW - Raman spectroscopy
KW - squamous cell carcinoma
KW - diagnostics
U2 - 10.1002/term.2234
DO - 10.1002/term.2234
M3 - Journal article
VL - 11
SP - 3253
EP - 3262
JO - Journal of Tissue Engineering and Regenerative Medicine
JF - Journal of Tissue Engineering and Regenerative Medicine
SN - 1932-6254
IS - 11
ER -