Common Raman Spectral Markers among Different Tissues for Cancer Detection

Document Type : Original Paper


1 Department of Electrical and Computer Engineering, Kashan Branch, Islamic Azad University, Kashan, Iran

2 Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

3 Department of Basic Sciences, Tarbiat Modares University, Tehran, Iran


Raman spectroscopy is a vibrational spectroscopic technique, based on inelastic scattering of monochromatic light. This technique can provide valuable information about biomolecular changes, associated with neoplastic transformation. The purpose of this study was to find Raman spectral markers for distinguishing normal samples from cancerous ones in different tissues.
Materials and Methods
Ten tissue samples from the breast, colon, pancreas, and thyroid were collected. A Raman system was used for Raman spectroscopic measurement of tissues at 532 nm laser excitation. Five to six Raman spectra were acquired from each sample (a total of 52 spectra). Raman spectra were investigated in important bands associated with Amid1, CH2 (scissoring), Amid3, d(NH), n(C-C), and das (CH3) in both normal and cancerous groups. In addition, common spectral markers, which discriminated between normal and cancerous samples in the above tissues, were investigated.
Common spectral markers among different tissues included intensities of Amid3 and CH2 (scissoring) and intensity ratios of I(Amid1)/I(CH2), I(n(C-C))/I(CH2), and I(d(NH))/I(CH2). This study showed that Amid1-, n(C-C)-, and d(NH)-to-CH2 intensity ratios can discriminate between normal and cancerous samples, with an accuracy of 84.6%, 82.7%, and 82.7% in all studied tissues, respectively.
This study demonstrates the presence of common spectral markers, associated with neoplastic changes, among different tissues.


Main Subjects

Volume 11, Issue 4 - Serial Number 4
November and December 2014
Pages 308-315
  • Receive Date: 13 March 2014
  • Revise Date: 29 November 2014
  • Accept Date: 03 August 2014
  • First Publish Date: 01 December 2014