Cargando…
Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool
Glioblastoma is the most frequent and aggressive primary brain tumor in adults. Recently, a growing number of studies have shown that denaturation profile of plasma samples obtained by differential scanning calorimetry (DSC) can represent a signature of a disease. In this study, we analyzed for the...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823627/ https://www.ncbi.nlm.nih.gov/pubmed/29507697 http://dx.doi.org/10.18632/oncotarget.24317 |
_version_ | 1783301911518117888 |
---|---|
author | Tsvetkov, Philipp O. Tabouret, Emeline Roman, Andrei Y. Romain, Sylvie Bequet, Céline Ishimbaeva, Olga Honoré, Stéphane Figarella-Branger, Dominique Chinot, Olivier Devred, François |
author_facet | Tsvetkov, Philipp O. Tabouret, Emeline Roman, Andrei Y. Romain, Sylvie Bequet, Céline Ishimbaeva, Olga Honoré, Stéphane Figarella-Branger, Dominique Chinot, Olivier Devred, François |
author_sort | Tsvetkov, Philipp O. |
collection | PubMed |
description | Glioblastoma is the most frequent and aggressive primary brain tumor in adults. Recently, a growing number of studies have shown that denaturation profile of plasma samples obtained by differential scanning calorimetry (DSC) can represent a signature of a disease. In this study, we analyzed for the first time the DSC denaturation profiles of the plasma from patients with recurrent glioblastoma (n=17). Comparison to the one of healthy individuals (n=10) and to already described profiles in others cancer showed clear differences suggesting that this DSC profile may constitute a signature of glioblastoma. Parameters extracted from these profiles were used for cluster analysis which revealed the existence of glioblastoma profile subgroups which correlated with prognostic factors. Moreover, we showed that the presence of circulating bevacizumab and carmustine did not alter this calorimetric signature of the disease, indicating that an evolution of the profile could be followed without being masked by ongoing systemic treatment. Thus, our results constitute a very promising proof of principle that a specific calorimetric profile could be detected in the plasma of glioblastoma patients. Moreover, we believe that our findings point to a potential easy-to-use non-invasive monitoring tool for glioblastoma patients. |
format | Online Article Text |
id | pubmed-5823627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-58236272018-03-05 Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool Tsvetkov, Philipp O. Tabouret, Emeline Roman, Andrei Y. Romain, Sylvie Bequet, Céline Ishimbaeva, Olga Honoré, Stéphane Figarella-Branger, Dominique Chinot, Olivier Devred, François Oncotarget Research Paper Glioblastoma is the most frequent and aggressive primary brain tumor in adults. Recently, a growing number of studies have shown that denaturation profile of plasma samples obtained by differential scanning calorimetry (DSC) can represent a signature of a disease. In this study, we analyzed for the first time the DSC denaturation profiles of the plasma from patients with recurrent glioblastoma (n=17). Comparison to the one of healthy individuals (n=10) and to already described profiles in others cancer showed clear differences suggesting that this DSC profile may constitute a signature of glioblastoma. Parameters extracted from these profiles were used for cluster analysis which revealed the existence of glioblastoma profile subgroups which correlated with prognostic factors. Moreover, we showed that the presence of circulating bevacizumab and carmustine did not alter this calorimetric signature of the disease, indicating that an evolution of the profile could be followed without being masked by ongoing systemic treatment. Thus, our results constitute a very promising proof of principle that a specific calorimetric profile could be detected in the plasma of glioblastoma patients. Moreover, we believe that our findings point to a potential easy-to-use non-invasive monitoring tool for glioblastoma patients. Impact Journals LLC 2018-01-25 /pmc/articles/PMC5823627/ /pubmed/29507697 http://dx.doi.org/10.18632/oncotarget.24317 Text en Copyright: © 2018 Tsvetkov et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Tsvetkov, Philipp O. Tabouret, Emeline Roman, Andrei Y. Romain, Sylvie Bequet, Céline Ishimbaeva, Olga Honoré, Stéphane Figarella-Branger, Dominique Chinot, Olivier Devred, François Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title | Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title_full | Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title_fullStr | Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title_full_unstemmed | Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title_short | Differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
title_sort | differential scanning calorimetry of plasma in glioblastoma: toward a new prognostic / monitoring tool |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5823627/ https://www.ncbi.nlm.nih.gov/pubmed/29507697 http://dx.doi.org/10.18632/oncotarget.24317 |
work_keys_str_mv | AT tsvetkovphilippo differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT tabouretemeline differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT romanandreiy differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT romainsylvie differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT bequetceline differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT ishimbaevaolga differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT honorestephane differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT figarellabrangerdominique differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT chinotolivier differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool AT devredfrancois differentialscanningcalorimetryofplasmainglioblastomatowardanewprognosticmonitoringtool |