alexa Deciphering the Finger Prints of Brain Cancer Glioblastoma Multiforme from Four Different Patients by Using Near Infrared Raman Spectroscopy | OMICS International | Abstract
ISSN: 1948-5956

Journal of Cancer Science & Therapy
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Research Article

Deciphering the Finger Prints of Brain Cancer Glioblastoma Multiforme from Four Different Patients by Using Near Infrared Raman Spectroscopy

Hirendra Nath Banerjee1*, Arnold Banerji1, Arunendra Nath Banerjee1, Eilena Riddick1, Jenae Petis1, Shavonda Evans1, Megha Patel1, Carl Parson1, Valerie Smith1, E.Gwebu1 and Sarah Voisin2

1Department of Natural Sciences and Pharmaceutical Sciences, ElizabethCity State University, University of North Carolina, ElizabethCity, NC-27909, USA

2University De Lyon, France

*Corresponding Author:
Hirendra Nath Banerjee
Professor, Department of Natural Sciences
ElizabethCity State University
University of North Carolina
ElizabethCity, NC-27909, USA
Tel: 2523353241
Fax: 2523353629
E-mail:
[email protected]

Received date: July 29, 2014; Accepted date: February 10, 2015; Published date: February 13, 2015

Citation: Banerjee HN, Banerji A, Banerjee AN, Riddick E, Petis J, et al. (2015) Deciphering the Finger Prints of Brain Cancer Glioblastoma Multiforme from Four Different Patients by Using Near Infrared Raman Spectroscopy. J Cancer Sci Ther 7:044-047. doi:10.4172/1948-5956.1000323

Copyright: © 2015 Banerjee HN, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

To explore the effectiveness of Raman spectra to diagnose brain cancer glioblastoma multiforme (GBM), we investigated the Raman spectra of single cell from four different GBM cell lines developed from four different patients and analyzed the spectra. The Raman spectra of brain cancer (GBM) cells were similar in all these cell lines. The results indicate that Raman spectra can offer the experimental basis for the cancer diagnosis and treatment.

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