Disease Markers

Disease Markers / 2008 / Article
Special Issue

Optical Spectroscopic Markers of Cancer

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Open Access

Volume 25 |Article ID 230307 | https://doi.org/10.1155/2008/230307

Matthew D. Keller, Elizabeth M. Kanter, Chad A. Lieber, Shovan K. Majumder, Joanne Hutchings, Darrel L. Ellis, Richard B. Beaven, Nicholas Stone, Anita Mahadevan-Jansen, "Detecting Temporal and Spatial Effects of Epithelial Cancers with Raman Spectroscopy", Disease Markers, vol. 25, Article ID 230307, 15 pages, 2008. https://doi.org/10.1155/2008/230307

Detecting Temporal and Spatial Effects of Epithelial Cancers with Raman Spectroscopy

Received09 Feb 2009
Accepted09 Feb 2009

Abstract

Epithelial cancers, including those of the skin and cervix, are the most common type of cancers in humans. Many recent studies have attempted to use Raman spectroscopy to diagnose these cancers. In this paper, Raman spectral markers related to the temporal and spatial effects of cervical and skin cancers are examined through four separate but related studies. Results from a clinical cervix study show that previous disease has a significant effect on the Raman signatures of the cervix, which allow for near 100% classification for discriminating previous disease versus a true normal. A Raman microspectroscopy study showed that Raman can detect changes due to adjacent regions of dysplasia or HPV that cannot be detected histologically, while a clinical skin study showed that Raman spectra may be detecting malignancy associated changes in tissues surrounding nonmelanoma skin cancers. Finally, results of an organotypic raft culture study provided support for both the skin and the in vitro cervix results. These studies add to the growing body of evidence that optical spectroscopy, in this case Raman spectral markers, can be used to detect subtle temporal and spatial effects in tissue near cancerous sites that go otherwise undetected by conventional histology.

Copyright © 2008 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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