Literature DB >> 20577720

Ex vivo and in vivo diagnosis of C6 glioblastoma development by Raman spectroscopy coupled to a microprobe.

Abdelilah Beljebbar1, Sylvain Dukic, Nadia Amharref, Michel Manfait.   

Abstract

The potential of Raman spectroscopy for ex vivo and in vivo classification of normal and glioblastoma brain tumor development was investigated. High-quality spectra of normal and tumor tissues were obtained using a portable Raman spectrometer coupled to a microprobe with a signal integration time of 5 s. Ex vivo results demonstrated that by using the biochemical information contained in the spectra, we were able to distinguish between normal brain features (white and gray matter), invasion, and tumor tissues with a classification accuracy of 100%. Differences between these features resulted from variations in their lipid signal contributions, which probably reflect differences in the level of myelinization. This finding supports the ability of in vivo Raman spectroscopy to delineate tumor margins during surgery. After implanting C6 cells in rat brain, we monitored, in vivo, the development of glioblastoma tumor from days 0 to 20 post-implantation (PI). The classification exhibited a clear separation of the data into two clusters: one cluster was associated with normal brain tissues (cortex), and the second was related to data measured from tumor evolution. The second cluster could be divided into two subclusters, one associated with tumor tissue from 4 to 13 days PI and the second related to tumor tissue from 15 to 20 days PI. Histological analysis reveals that the differences between these two subclusters are: the presence of a massive infiltration zone in the brain tissue from 4 to 13 days PI, and; a maturation of the tumor characterized by the appearance of edematous and necrotic zones, as well as a diminution in the proliferative and invasive area, from 15 days. This work demonstrates the potential of Raman spectroscopy to provide diagnostic information for the early detection of tumors in vivo.

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Year:  2010        PMID: 20577720     DOI: 10.1007/s00216-010-3910-6

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  21 in total

1.  Identification of regions of normal grey matter and white matter from pathologic glioblastoma and necrosis in frozen sections using Raman imaging.

Authors:  Rachel Kast; Gregory Auner; Sally Yurgelevic; Brandy Broadbent; Aditya Raghunathan; Laila M Poisson; Tom Mikkelsen; Mark L Rosenblum; Steven N Kalkanis
Journal:  J Neurooncol       Date:  2015-09-10       Impact factor: 4.130

2.  Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections.

Authors:  Steven N Kalkanis; Rachel E Kast; Mark L Rosenblum; Tom Mikkelsen; Sally M Yurgelevic; Katrina M Nelson; Aditya Raghunathan; Laila M Poisson; Gregory W Auner
Journal:  J Neurooncol       Date:  2014-01-04       Impact factor: 4.130

Review 3.  Improving the accuracy of brain tumor surgery via Raman-based technology.

Authors:  Todd Hollon; Spencer Lewis; Christian W Freudiger; X Sunney Xie; Daniel A Orringer
Journal:  Neurosurg Focus       Date:  2016-03       Impact factor: 4.047

Review 4.  Challenges and opportunities in clinical translation of biomedical optical spectroscopy and imaging.

Authors:  Brian C Wilson; Michael Jermyn; Frederic Leblond
Journal:  J Biomed Opt       Date:  2018-03       Impact factor: 3.170

5.  Label-free detection of peripheral nerve tissues against adjacent tissues by spontaneous Raman microspectroscopy.

Authors:  Takeo Minamikawa; Yoshinori Harada; Noriaki Koizumi; Koji Okihara; Kazumi Kamoi; Akio Yanagisawa; Tetsuro Takamatsu
Journal:  Histochem Cell Biol       Date:  2012-08-15       Impact factor: 4.304

6.  Rise of Raman spectroscopy in neurosurgery: a review.

Authors:  Damon DePaoli; Émile Lemoine; Katherine Ember; Martin Parent; Michel Prud'homme; Léo Cantin; Kevin Petrecca; Frédéric Leblond; Daniel C Côté
Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

Review 7.  Role of optical spectroscopic methods in neuro-oncological sciences.

Authors:  Maryam Bahreini
Journal:  J Lasers Med Sci       Date:  2015

8.  Dual-Modality Surface-Enhanced Resonance Raman Scattering and Multispectral Optoacoustic Tomography Nanoparticle Approach for Brain Tumor Delineation.

Authors:  Volker Neuschmelting; Stefan Harmsen; Nicolas Beziere; Hannah Lockau; Hsiao-Ting Hsu; Ruimin Huang; Daniel Razansky; Vasilis Ntziachristos; Moritz F Kircher
Journal:  Small       Date:  2018-05-04       Impact factor: 13.281

9.  Raman molecular imaging of brain frozen tissue sections.

Authors:  Rachel E Kast; Gregory W Auner; Mark L Rosenblum; Tom Mikkelsen; Sally M Yurgelevic; Aditya Raghunathan; Laila M Poisson; Steven N Kalkanis
Journal:  J Neurooncol       Date:  2014-07-20       Impact factor: 4.130

10.  IDH1 mutation in human glioma induces chemical alterations that are amenable to optical Raman spectroscopy.

Authors:  Ortrud Uckermann; Wenmin Yao; Tareq A Juratli; Roberta Galli; Elke Leipnitz; Matthias Meinhardt; Edmund Koch; Gabriele Schackert; Gerald Steiner; Matthias Kirsch
Journal:  J Neurooncol       Date:  2018-05-14       Impact factor: 4.130

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