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Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas

Diffuse gliomas have been hypothesized to originate from neural stem cells in the subventricular zone and develop along previously healthy brain networks. Here, we evaluated these hypotheses by mapping independent sources of glioma localization and determining their relationships with neurogenic nic...

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Autores principales: Mandal, Ayan S, Romero-Garcia, Rafael, Seidlitz, Jakob, Hart, Michael G, Alexander-Bloch, Aaron F, Suckling, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669792/
https://www.ncbi.nlm.nih.gov/pubmed/34917940
http://dx.doi.org/10.1093/braincomms/fcab289
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author Mandal, Ayan S
Romero-Garcia, Rafael
Seidlitz, Jakob
Hart, Michael G
Alexander-Bloch, Aaron F
Suckling, John
author_facet Mandal, Ayan S
Romero-Garcia, Rafael
Seidlitz, Jakob
Hart, Michael G
Alexander-Bloch, Aaron F
Suckling, John
author_sort Mandal, Ayan S
collection PubMed
description Diffuse gliomas have been hypothesized to originate from neural stem cells in the subventricular zone and develop along previously healthy brain networks. Here, we evaluated these hypotheses by mapping independent sources of glioma localization and determining their relationships with neurogenic niches, genetic markers and large-scale connectivity networks. By applying independent component analysis to lesion data from 242 adult patients with high- and low-grade glioma, we identified three lesion covariance networks, which reflect clusters of frequent glioma localization. Replicability of the lesion covariance networks was assessed in an independent sample of 168 glioma patients. We related the lesion covariance networks to important clinical variables, including tumour grade and patient survival, as well as genomic information such as molecular genetic subtype and bulk transcriptomic profiles. Finally, we systematically cross-correlated the lesion covariance networks with structural and functional connectivity networks derived from neuroimaging data of over 4000 healthy UK BioBank participants to uncover intrinsic brain networks that may that underlie tumour development. The three lesion covariance networks overlapped with the anterior, posterior and inferior horns of the lateral ventricles respectively, extending into the frontal, parietal and temporal cortices. These locations were independently replicated. The first lesion covariance network, which overlapped with the anterior horn, was associated with low-grade, isocitrate dehydrogenase -mutated/1p19q-codeleted tumours, as well as a neural transcriptomic signature and improved overall survival. Each lesion covariance network significantly coincided with multiple structural and functional connectivity networks, with the first bearing an especially strong relationship with brain connectivity, consistent with its neural transcriptomic profile. Finally, we identified subcortical, periventricular structures with functional connectivity patterns to the cortex that significantly matched each lesion covariance network. In conclusion, we demonstrated replicable patterns of glioma localization with clinical relevance and spatial correspondence with large-scale functional and structural connectivity networks. These results are consistent with prior reports of glioma growth along white matter pathways, as well as evidence for the coordination of glioma stem cell proliferation by neuronal activity. Our findings describe how the locations of gliomas relate to their proposed subventricular origins, suggesting a model wherein periventricular brain connectivity guides tumour development.
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spelling pubmed-86697922021-12-15 Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas Mandal, Ayan S Romero-Garcia, Rafael Seidlitz, Jakob Hart, Michael G Alexander-Bloch, Aaron F Suckling, John Brain Commun Original Article Diffuse gliomas have been hypothesized to originate from neural stem cells in the subventricular zone and develop along previously healthy brain networks. Here, we evaluated these hypotheses by mapping independent sources of glioma localization and determining their relationships with neurogenic niches, genetic markers and large-scale connectivity networks. By applying independent component analysis to lesion data from 242 adult patients with high- and low-grade glioma, we identified three lesion covariance networks, which reflect clusters of frequent glioma localization. Replicability of the lesion covariance networks was assessed in an independent sample of 168 glioma patients. We related the lesion covariance networks to important clinical variables, including tumour grade and patient survival, as well as genomic information such as molecular genetic subtype and bulk transcriptomic profiles. Finally, we systematically cross-correlated the lesion covariance networks with structural and functional connectivity networks derived from neuroimaging data of over 4000 healthy UK BioBank participants to uncover intrinsic brain networks that may that underlie tumour development. The three lesion covariance networks overlapped with the anterior, posterior and inferior horns of the lateral ventricles respectively, extending into the frontal, parietal and temporal cortices. These locations were independently replicated. The first lesion covariance network, which overlapped with the anterior horn, was associated with low-grade, isocitrate dehydrogenase -mutated/1p19q-codeleted tumours, as well as a neural transcriptomic signature and improved overall survival. Each lesion covariance network significantly coincided with multiple structural and functional connectivity networks, with the first bearing an especially strong relationship with brain connectivity, consistent with its neural transcriptomic profile. Finally, we identified subcortical, periventricular structures with functional connectivity patterns to the cortex that significantly matched each lesion covariance network. In conclusion, we demonstrated replicable patterns of glioma localization with clinical relevance and spatial correspondence with large-scale functional and structural connectivity networks. These results are consistent with prior reports of glioma growth along white matter pathways, as well as evidence for the coordination of glioma stem cell proliferation by neuronal activity. Our findings describe how the locations of gliomas relate to their proposed subventricular origins, suggesting a model wherein periventricular brain connectivity guides tumour development. Oxford University Press 2021-12-04 /pmc/articles/PMC8669792/ /pubmed/34917940 http://dx.doi.org/10.1093/braincomms/fcab289 Text en © The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Mandal, Ayan S
Romero-Garcia, Rafael
Seidlitz, Jakob
Hart, Michael G
Alexander-Bloch, Aaron F
Suckling, John
Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title_full Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title_fullStr Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title_full_unstemmed Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title_short Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
title_sort lesion covariance networks reveal proposed origins and pathways of diffuse gliomas
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669792/
https://www.ncbi.nlm.nih.gov/pubmed/34917940
http://dx.doi.org/10.1093/braincomms/fcab289
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