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Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1

The remarkable heterogeneity of glioblastoma, across patients and over time, is one of the main challenges in precision diagnostics and treatment planning. Non-invasive in vivo characterization of this heterogeneity using imaging could assist in understanding disease subtypes, as well as in risk-str...

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Autores principales: Rathore, Saima, Akbari, Hamed, Rozycki, Martin, Abdullah, Kalil G., Nasrallah, MacLean P., Binder, Zev A., Davuluri, Ramana V., Lustig, Robert A., Dahmane, Nadia, Bilello, Michel, O’Rourke, Donald M., Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865162/
https://www.ncbi.nlm.nih.gov/pubmed/29572492
http://dx.doi.org/10.1038/s41598-018-22739-2
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author Rathore, Saima
Akbari, Hamed
Rozycki, Martin
Abdullah, Kalil G.
Nasrallah, MacLean P.
Binder, Zev A.
Davuluri, Ramana V.
Lustig, Robert A.
Dahmane, Nadia
Bilello, Michel
O’Rourke, Donald M.
Davatzikos, Christos
author_facet Rathore, Saima
Akbari, Hamed
Rozycki, Martin
Abdullah, Kalil G.
Nasrallah, MacLean P.
Binder, Zev A.
Davuluri, Ramana V.
Lustig, Robert A.
Dahmane, Nadia
Bilello, Michel
O’Rourke, Donald M.
Davatzikos, Christos
author_sort Rathore, Saima
collection PubMed
description The remarkable heterogeneity of glioblastoma, across patients and over time, is one of the main challenges in precision diagnostics and treatment planning. Non-invasive in vivo characterization of this heterogeneity using imaging could assist in understanding disease subtypes, as well as in risk-stratification and treatment planning of glioblastoma. The current study leveraged advanced imaging analytics and radiomic approaches applied to multi-parametric MRI of de novo glioblastoma patients (n = 208 discovery, n = 53 replication), and discovered three distinct and reproducible imaging subtypes of glioblastoma, with differential clinical outcome and underlying molecular characteristics, including isocitrate dehydrogenase-1 (IDH1), O(6)-methylguanine–DNA methyltransferase, epidermal growth factor receptor variant III (EGFRvIII), and transcriptomic subtype composition. The subtypes provided risk-stratification substantially beyond that provided by WHO classifications. Within IDH1-wildtype tumors, our subtypes revealed different survival (p < 0.001), thereby highlighting the synergistic consideration of molecular and imaging measures for prognostication. Moreover, the imaging characteristics suggest that subtype-specific treatment of peritumoral infiltrated brain tissue might be more effective than current uniform standard-of-care. Finally, our analysis found subtype-specific radiogenomic signatures of EGFRvIII-mutated tumors. The identified subtypes and their clinical and molecular correlates provide an in vivo portrait of phenotypic heterogeneity in glioblastoma, which points to the need for precision diagnostics and personalized treatment.
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spelling pubmed-58651622018-03-27 Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1 Rathore, Saima Akbari, Hamed Rozycki, Martin Abdullah, Kalil G. Nasrallah, MacLean P. Binder, Zev A. Davuluri, Ramana V. Lustig, Robert A. Dahmane, Nadia Bilello, Michel O’Rourke, Donald M. Davatzikos, Christos Sci Rep Article The remarkable heterogeneity of glioblastoma, across patients and over time, is one of the main challenges in precision diagnostics and treatment planning. Non-invasive in vivo characterization of this heterogeneity using imaging could assist in understanding disease subtypes, as well as in risk-stratification and treatment planning of glioblastoma. The current study leveraged advanced imaging analytics and radiomic approaches applied to multi-parametric MRI of de novo glioblastoma patients (n = 208 discovery, n = 53 replication), and discovered three distinct and reproducible imaging subtypes of glioblastoma, with differential clinical outcome and underlying molecular characteristics, including isocitrate dehydrogenase-1 (IDH1), O(6)-methylguanine–DNA methyltransferase, epidermal growth factor receptor variant III (EGFRvIII), and transcriptomic subtype composition. The subtypes provided risk-stratification substantially beyond that provided by WHO classifications. Within IDH1-wildtype tumors, our subtypes revealed different survival (p < 0.001), thereby highlighting the synergistic consideration of molecular and imaging measures for prognostication. Moreover, the imaging characteristics suggest that subtype-specific treatment of peritumoral infiltrated brain tissue might be more effective than current uniform standard-of-care. Finally, our analysis found subtype-specific radiogenomic signatures of EGFRvIII-mutated tumors. The identified subtypes and their clinical and molecular correlates provide an in vivo portrait of phenotypic heterogeneity in glioblastoma, which points to the need for precision diagnostics and personalized treatment. Nature Publishing Group UK 2018-03-23 /pmc/articles/PMC5865162/ /pubmed/29572492 http://dx.doi.org/10.1038/s41598-018-22739-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rathore, Saima
Akbari, Hamed
Rozycki, Martin
Abdullah, Kalil G.
Nasrallah, MacLean P.
Binder, Zev A.
Davuluri, Ramana V.
Lustig, Robert A.
Dahmane, Nadia
Bilello, Michel
O’Rourke, Donald M.
Davatzikos, Christos
Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title_full Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title_fullStr Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title_full_unstemmed Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title_short Radiomic MRI signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond IDH1
title_sort radiomic mri signature reveals three distinct subtypes of glioblastoma with different clinical and molecular characteristics, offering prognostic value beyond idh1
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865162/
https://www.ncbi.nlm.nih.gov/pubmed/29572492
http://dx.doi.org/10.1038/s41598-018-22739-2
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