Papers by Shatakshi Sinha
Metabolomics, 2011
Oral squamous cell carcinoma (SCC) represents more than 90% of all head and neck cancers as repor... more Oral squamous cell carcinoma (SCC) represents more than 90% of all head and neck cancers as reported by Hermans (Cancer Imaging, 5(Spec No A), S52–S57, 2005), which draws attention of investigative research for novel predictive metabolic biomarkers to understand the malignancy induced biochemical perturbations occurring at molecular level. In the present work, proton HR-MAS NMR spectroscopic studies have been performed on resected human oral SCC tumor tissues, its neighboring margins and bed tissues (n = 159), obtained from 36 patients (n = 27 training set; n = 9 unknown test set), for the identification of metabolic fingerprints. The proton NMR spectra were then subjected to chemometric unsupervised PCA and supervised OSC-filtered PCA and PLS-DA multivariate analysis. Application of PLS-DA on orthogonally signal corrected training data-set (n = 120 tissue specimens; 27 patients) allowed >95% correct classification of malignant tissues from benign samples with >98% specificity and sensitivity. The OSC-PLS-DA model thus constructed was used to predict the class membership of unknown tissue specimens (n = 39) obtained from nine patients. These tissue samples were correctly predicted in its respective histological categories with 97.4% diagnostic accuracy. The regression coefficients obtained from OSC-filtered PLS-DA model indicated that malignant tissues had higher levels of glutamate, choline, phosphocholine, lactate, acetate, taurine, glycine, leucine, lysine, isoleucine and alanine, and lower levels of creatine and PUFA, representing altered metabolic processes (lipidogenesis, protein synthesis, and volume regulation) during tumor progression. Thus proton HR-MAS MR spectroscopy could efficiently identify the metabolic perturbations of malignant tumor from non-malignant bed and margins tissue specimens, which may be helpful in understanding the extent of tumor penetration in neighboring tissues.
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Papers by Shatakshi Sinha