Literature DB >> 17761139

Discriminating healthy from tumor and necrosis tissue in rat brain tissue samples by Raman spectral imaging.

Nadia Amharref1, Abdelilah Beljebbar, Sylvain Dukic, Lydie Venteo, Laurence Schneider, Michel Pluot, Michel Manfait.   

Abstract

The purpose of this study was to investigate molecular changes associated with glioma tissues by Raman microspectroscopy in order to develop its use in clinical practice. Spectroscopic markers obtained from C6 glioma tissues were compared to conventional histological and histochemical techniques. Cholesterol and phospholipid contents were highest in corpus callosum and decreased gradually towards the cortex surface as well as in the tumor. Two different necrotic areas have been identified: a fully necrotic zone characterized by the presence of plasma proteins and a peri-necrotic area with a high lipid content. This result was confirmed by Nile Red staining. Additionally, one structure was detected in the periphery of the tumor. Invisible with histopathological hematoxylin and eosin staining, it was revealed by immunohistochemical Ki-67 and MT1-MMP staining used to visualize the proliferative and invasive activities of glioma, respectively. Hierarchical cluster analysis on the only cluster averaged spectra showed a clear distinction between normal, tumoral, necrotic and edematous tissues. Raman microspectroscopy can discriminate between healthy and tumoral brain tissue and yield spectroscopic markers associated with the proliferative and invasive properties of glioblastoma. Development of in vivo Raman spectroscopy could thus accurately define tumor margins, identify tumor remnants, and help in the development of novel therapies for glioblastoma.

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Year:  2007        PMID: 17761139     DOI: 10.1016/j.bbamem.2007.06.032

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  16 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

3.  Diagnosis of pathological minor salivary glands in primary Sjogren's syndrome by using Raman spectroscopy.

Authors:  Lili Xue; Pei Sun; Dongchen Ou; Peiqiong Chen; Meiqing Chen; Bing Yan
Journal:  Lasers Med Sci       Date:  2013-07-28       Impact factor: 3.161

Review 4.  Review of the potential of optical technologies for cancer diagnosis in neurosurgery: a step toward intraoperative neurophotonics.

Authors:  Fartash Vasefi; Nicholas MacKinnon; Daniel L Farkas; Babak Kateb
Journal:  Neurophotonics       Date:  2016-12-26       Impact factor: 3.593

Review 5.  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

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.  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

9.  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

10.  Raman micro-spectroscopy can be used to investigate the developmental stage of the mouse oocyte.

Authors:  Bryony Davidson; Alison A Murray; Alistair Elfick; Norah Spears
Journal:  PLoS One       Date:  2013-07-01       Impact factor: 3.240

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