Details

Autor(en) / Beteiligte

• Gohulkumar, M.
• Kumar, Piyush
• Murali Krishna, C.
• Krishnakumar, N.

Titel

Evaluation of Raman spectroscopy for prediction of antitumor response to silibinin and its nanoparticulates in DMBA-induced oral carcinogenesis

Ist Teil von

• Journal of Raman spectroscopy, 2016-04, Vol.47 (4), p.375-383

Ort / Verlag

Bognor Regis: Blackwell Publishing Ltd

Erscheinungsjahr

2016

Quelle

Wiley Online Library

Beschreibungen/Notizen

• Raman spectroscopy is a vibrational spectroscopic technique that can be used to monitor the therapeutic efficacy of anticancer drugs during carcinogenesis in a non‐invasive and label‐free manner. The present study aims to investigate the biochemical changes exerted upon free silibinin (SIL) and its nanoparticulate (SILNPs) treatment against 7,12‐dimethylbenz[a]anthracene (DMBA)‐induced oral carcinogenesis in the fingerprint region of 1800–500 cm−1 using HE‐785 Raman spectrometer. Raman spectra differed significantly between the control and tumor tissues, with tumor tissues characterized by increased intensities of vibrational bands such as nucleic acids, phenylalanine and tryptophan and a lower percentage of lipids when compared to the control tissues. Further, oral administration of free SIL and SILNPs significantly increased lipids and decreased the levels of tryptophan, phenylalanine and nucleic acid contents. Overall, the treatment of nanoparticulate SIL was found to be a more potent antitumor effect than free SIL in preventing the formation of tumor and also brought back the several Raman bands to a normal range in the buccal mucosa of hamsters during DMBA‐induced oral carcinogenesis. In addition, the detailed secondary structure of proteins in the control and experimental groups is also presented. Furthermore, the diagnostic algorithms based on principal component linear discriminant analysis (PC‐LDA) achieved an overall sensitivity of 94–100% and specificity of 76–100%. These results further demonstrate that Raman spectroscopy associated with PC‐LDA diagnostic algorithms could be a valuable tool for rapid and sensitive detection of specific biomolecular changes at the molecular level in response to anticancer drug. Copyright © 2015 John Wiley & Sons, Ltd. Recently, Raman spectroscopy has been successfully applied to clinical and preclinical models to monitor and predict therapeutic response under anti‐cancer drug treatments. In the present work, the treatment of nanoparticulate silibinin was found to be more potent antitumor effect than free silibinin in preventing the formation of tumor and also brought back the several Raman bands to a normal range. The present results further demonstrate that Raman spectroscopy associated with principal component linear discriminant analysis (PC‐LDA) diagnostic algorithms could be a valuable tool for rapid and sensitive detection of specific biomolecular changes at the molecular level in response to anticancer drug.