Fourier-transform-infrared-spectroscopy based spectral-biomarker selection towards optimum diagnostic differentiation of oral leukoplakia and cancer

Analytical and Bioanalytical Chemistry
Satarupa BanerjeeJyotirmoy Chatterjee

Abstract

In search of specific label-free biomarkers for differentiation of two oral lesions, namely oral leukoplakia (OLK) and oral squamous-cell carcinoma (OSCC), Fourier-transform infrared (FTIR) spectroscopy was performed on paraffin-embedded tissue sections from 47 human subjects (eight normal (NOM), 16 OLK, and 23 OSCC). Difference between mean spectra (DBMS), Mann-Whitney's U test, and forward feature selection (FFS) techniques were used for optimising spectral-marker selection. Classification of diseases was performed with linear and quadratic support vector machine (SVM) at 10-fold cross-validation, using different combinations of spectral features. It was observed that six features obtained through FFS enabled differentiation of NOM and OSCC tissue (1782, 1713, 1665, 1545, 1409, and 1161 cm(-1)) and were most significant, able to classify OLK and OSCC with 81.3 % sensitivity, 95.7 % specificity, and 89.7 % overall accuracy. The 43 spectral markers extracted through Mann-Whitney's U Test were the least significant when quadratic SVM was used. Considering the high sensitivity and specificity of the FFS technique, extracting only six spectral biomarkers was thus most useful for diagnosis of OLK and OSCC, and to overcome inter and...Continue Reading

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Citations

Nov 5, 2016·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Atasi SarkarJyotirmoy Chatterjee
Apr 10, 2018·Chemical Science·Abiodun OgunlekeCyril Petibois
Oct 27, 2018·Current Treatment Options in Oncology·Carlo ResteghiniLisa Licitra
Jan 16, 2019·Biosensors·Helena UkkonenSurya Pratap Singh
Feb 4, 2021·International Journal of Molecular Sciences·Rong Wang, Yong Wang
Jun 16, 2021·Journal of Pharmaceutical and Biomedical Analysis·Shayma ShaikhRakesh Rawal

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