Jaibodh Kumar1, Shatakshi Srivastava2, Nuzhat Hussain3, Jitendra Kumar Kushwaha1, Devendra Singh1, Abhinav Arun Sonkar1, Raja Roy2
1Surgery, CSM Medical University, Lucknow, Uttar Pradesh, India; 2Center of Biomedical Magnetic Resonance, SGPGI, Lucknow, Uttar Pradesh, India; 3Pathology, RML Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
In the present work, HR-MAS NMR spectroscopic studies have been performed on human oral SCC tumor tissues, its neighboring margins and bed tissues (n=188), obtained from 48 patients (n=37 training set; n=11 unknown test set), for the identification of metabolic fingerprints. The proton NMR spectra were then subjected to PCA, OSC-filtered PCA and PLS-DA multivariate analysis. The training data-set (n=128 tissue specimens; 37 patients) of PLS-DA model allowed >90% correct classification of malignant tissues from benign samples and 82.5 % specificity and 100% sensitivity in unknown tissue specimens.