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Invited Article: Molecular biomarkers characterization for human brain glioma grading using visible resonance Raman spectroscopy
Resource type
Authors/contributors
- Zhou, Yan (Author)
- Liu, Cheng-hui (Author)
- Wu, Binlin (Author)
- Zhang, Chunyuan (Author)
- Yu, Xinguang (Author)
- Cheng, Gangge (Author)
- Chen, Hong (Author)
- Li, Shenglin (Author)
- Liang, Qijun (Author)
- Zhang, Mingqian (Author)
- Zhu, Ke (Author)
- Shi, Lingyan (Author)
- Alfano, Robert R. (Author)
Title
Invited Article: Molecular biomarkers characterization for human brain glioma grading using visible resonance Raman spectroscopy
Abstract
The accurate identification of the human brain tumor boundary and the complete resection of the tumor are two essential factors for the removal of the glioma tumor in brain surgery. We present a visible resonance Raman (VRR) spectroscopy technique for differentiating the brain tumor margin and glioma grading. Eighty-seven VRR spectra from twenty-one human brain specimens of four types of brain tissues, including the control, glioma grade II, III, and IV tissues, were observed. This study focuses on observing the characteristics of new biomarkers and their changes in the four types of brain tissue. We found that two new RR peaks at 1129 cm-1 and 1338 cm-1 associated with molecular vibrational bonds in four types of brain tissues are significantly different in peak intensities of VRR spectra. These two resonance enhanced peaks may arise from lactic acid/phosphatidic acid and adenosine triphosphate (ATP)/nicotinamide adenine dinucleotide, respectively. We found that lactic acid and ATP concentrations vary with glioma gratings. The higher the grade of malignancy, the more the increase in lactic acid and ATP concentrations. These two RR peaks may be considered as new molecular biomarkers and used to evaluate glioma grades and identify the margin of gliomas from the control tissues. The metabolic process of lactic acid and ATP in glioma cells based on the VRR spectral changes may reveal the Warburg hypothesis. © 2018 Author(s).
Publication
APL Photonics
Date
12/2018
Volume
3
Issue
12
Pages
120802
Journal Abbr
APL Photonics
Citation Key
zhouInvitedArticleMolecular2018
Accessed
10/8/19, 4:00 PM
ISSN
2378-0967
Short Title
Invited Article
Language
English
Library Catalog
DOI.org (Crossref)
Extra
18 citations (Crossref) [2023-10-31]
Citation Key Alias: lens.org/071-292-711-428-912, pop00034
Citation
Zhou, Y., Liu, C., Wu, B., Zhang, C., Yu, X., Cheng, G., Chen, H., Li, S., Liang, Q., Zhang, M., Zhu, K., Shi, L., & Alfano, R. R. (2018). Invited Article: Molecular biomarkers characterization for human brain glioma grading using visible resonance Raman spectroscopy. APL Photonics, 3(12), 120802. https://doi.org/10.1063/1.5036637
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