Raman spectroscopy can discriminate distinct glioma subtypes as defined by RNA expression profiling

Raman spectroscopy is a molecular spectroscopic technique that can measure the molecular composition of tissue samples within seconds without any extraction processes or dyes. In microbiology, Raman spectroscopy is used to identify bacteriae. In glioblastoma tissue, it was reported that necrosis, no...

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Bibliographic Details
Published in:Journal of Raman spectroscopy 2013-09, Vol.44 (9), p.1217-1221
Main Authors: Jachtenberg, Jan-Willem, Schut, Tom Bakker, French, Pim, Kros, Max, Lamfers, Martine, Leenstra, Sieger
Format: Article
Language:English
Subjects:
brain neoplasms
cancer research
glioblastoma/pathology
Raman/methods
RNA expression profiling
spectrum analysis
spectrum analysis, Raman/methods
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Summary:Raman spectroscopy is a molecular spectroscopic technique that can measure the molecular composition of tissue samples within seconds without any extraction processes or dyes. In microbiology, Raman spectroscopy is used to identify bacteriae. In glioblastoma tissue, it was reported that necrosis, normal brain and tumor can be discriminated using Raman spectroscopy. Therefore, we hypothesized that Raman spectroscopy could discriminate glioblastoma tissue from different glioma subtypes defined by RNA expression profiling. We analyzed 20 glioma samples from two distinct molecular subtypes. Both subtypes consisted of glioblastoma samples showing a variety in glioma grading and typing. The Raman spectroscopic results could be grouped in two distinct clusters in an unsupervised cluster analysis. Further analysis of these clusters showed that they were fully congruent with the two clusters as defined by RNA expression profiling. Conclusion: our results demonstrate that Raman spectroscopy can discriminate between different molecular subtypes of glioma and, therefore, may prove to be a valuable tool in in vitro cancer research. Copyright © 2013 John Wiley & Sons, Ltd. In the field of personalized medicine, there is a great need to identify different subtypes of tumors. Present exploring techniques on DNA, RNA, or proteomics level are devious and expensive. In the present study, we show that Raman spectroscopy enables researchers to identify subtypes of tumors as defined by the before mentioned techniques.
ISSN:0377-0486
1097-4555
DOI:10.1002/jrs.4350