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Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy
Glioma of infiltrative nature is challenging for surgeons to achieve tumor-specific and maximal resection. Raman spectroscopy provides structural information on the targeted materials as vibrational shifts. We utilized Raman spectroscopy to distinguish invasive tumors from normal tissues. Spectra ob...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163456/ https://www.ncbi.nlm.nih.gov/pubmed/25247190 http://dx.doi.org/10.1155/2014/860241 |
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author | Tanahashi, Kuniaki Natsume, Atsushi Ohka, Fumiharu Momota, Hiroyuki Kato, Akira Motomura, Kazuya Watabe, Naoki Muraishi, Shuichi Nakahara, Hitoshi Saito, Yahachi Takeuchi, Ichiro Wakabayashi, Toshihiko |
author_facet | Tanahashi, Kuniaki Natsume, Atsushi Ohka, Fumiharu Momota, Hiroyuki Kato, Akira Motomura, Kazuya Watabe, Naoki Muraishi, Shuichi Nakahara, Hitoshi Saito, Yahachi Takeuchi, Ichiro Wakabayashi, Toshihiko |
author_sort | Tanahashi, Kuniaki |
collection | PubMed |
description | Glioma of infiltrative nature is challenging for surgeons to achieve tumor-specific and maximal resection. Raman spectroscopy provides structural information on the targeted materials as vibrational shifts. We utilized Raman spectroscopy to distinguish invasive tumors from normal tissues. Spectra obtained from replication-competent avian sarcoma-(RCAS-) based infiltrative glioma cells and glioma tissues (resembling low-grade human glioma) were compared with those obtained from normal mouse astrocytes and normal tissues. In cell analysis, the spectra at 950–1000, 1030, 1050–1100, 1120–1130, 1120–1200, 1200–1300, 1300–1350, and 1450 cm(−1) were significantly higher in infiltrative glioma cells than in normal astrocytes. In brain tissue analysis, the spectra at 1030, 1050–1100, and 1200–1300 cm(−1) were significantly higher in infiltrative glioma tissues than in normal brain tissues. These spectra reflect the structures of proteins, lipids, and DNA content. The sensitivity and specificity to predict glioma cells by distinguishing normal cells were 98.3% and 75.0%, respectively. Principal component analysis elucidated the significance of spectral difference between tumor tissues and normal tissues. It is possible to distinguish invasive tumors from normal tissues by using Raman spectroscopy. |
format | Online Article Text |
id | pubmed-4163456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-41634562014-09-22 Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy Tanahashi, Kuniaki Natsume, Atsushi Ohka, Fumiharu Momota, Hiroyuki Kato, Akira Motomura, Kazuya Watabe, Naoki Muraishi, Shuichi Nakahara, Hitoshi Saito, Yahachi Takeuchi, Ichiro Wakabayashi, Toshihiko Biomed Res Int Research Article Glioma of infiltrative nature is challenging for surgeons to achieve tumor-specific and maximal resection. Raman spectroscopy provides structural information on the targeted materials as vibrational shifts. We utilized Raman spectroscopy to distinguish invasive tumors from normal tissues. Spectra obtained from replication-competent avian sarcoma-(RCAS-) based infiltrative glioma cells and glioma tissues (resembling low-grade human glioma) were compared with those obtained from normal mouse astrocytes and normal tissues. In cell analysis, the spectra at 950–1000, 1030, 1050–1100, 1120–1130, 1120–1200, 1200–1300, 1300–1350, and 1450 cm(−1) were significantly higher in infiltrative glioma cells than in normal astrocytes. In brain tissue analysis, the spectra at 1030, 1050–1100, and 1200–1300 cm(−1) were significantly higher in infiltrative glioma tissues than in normal brain tissues. These spectra reflect the structures of proteins, lipids, and DNA content. The sensitivity and specificity to predict glioma cells by distinguishing normal cells were 98.3% and 75.0%, respectively. Principal component analysis elucidated the significance of spectral difference between tumor tissues and normal tissues. It is possible to distinguish invasive tumors from normal tissues by using Raman spectroscopy. Hindawi Publishing Corporation 2014 2014-08-27 /pmc/articles/PMC4163456/ /pubmed/25247190 http://dx.doi.org/10.1155/2014/860241 Text en Copyright © 2014 Kuniaki Tanahashi et al. https://creativecommons.org/licenses/by/3.0/ 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. |
spellingShingle | Research Article Tanahashi, Kuniaki Natsume, Atsushi Ohka, Fumiharu Momota, Hiroyuki Kato, Akira Motomura, Kazuya Watabe, Naoki Muraishi, Shuichi Nakahara, Hitoshi Saito, Yahachi Takeuchi, Ichiro Wakabayashi, Toshihiko Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title | Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title_full | Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title_fullStr | Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title_full_unstemmed | Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title_short | Assessment of Tumor Cells in a Mouse Model of Diffuse Infiltrative Glioma by Raman Spectroscopy |
title_sort | assessment of tumor cells in a mouse model of diffuse infiltrative glioma by raman spectroscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163456/ https://www.ncbi.nlm.nih.gov/pubmed/25247190 http://dx.doi.org/10.1155/2014/860241 |
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