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Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival

BACKGROUND: Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an unmet clinical need for accessible and noninvasively acquired predictive biomarkers of overall survival in patients. This study e...

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Autores principales: Lamichhane, Bidhan, Luckett, Patrick H, Dierker, Donna, Yun Park, Ki, Burton, Harold, Olufawo, Michael, Trevino, Gabriel, Lee, John J, Daniel, Andy G S, Hacker, Carl D, Marcus, Daniel S, Shimony, Joshua S, Leuthardt, Eric C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162111/
https://www.ncbi.nlm.nih.gov/pubmed/37152811
http://dx.doi.org/10.1093/noajnl/vdad034
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author Lamichhane, Bidhan
Luckett, Patrick H
Dierker, Donna
Yun Park, Ki
Burton, Harold
Olufawo, Michael
Trevino, Gabriel
Lee, John J
Daniel, Andy G S
Hacker, Carl D
Marcus, Daniel S
Shimony, Joshua S
Leuthardt, Eric C
author_facet Lamichhane, Bidhan
Luckett, Patrick H
Dierker, Donna
Yun Park, Ki
Burton, Harold
Olufawo, Michael
Trevino, Gabriel
Lee, John J
Daniel, Andy G S
Hacker, Carl D
Marcus, Daniel S
Shimony, Joshua S
Leuthardt, Eric C
author_sort Lamichhane, Bidhan
collection PubMed
description BACKGROUND: Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an unmet clinical need for accessible and noninvasively acquired predictive biomarkers of overall survival in patients. This study evaluated morphological changes in the brain separated from the tumor invasion site (ie, contralateral hemisphere). Specifically, we examined the prognostic value of widespread alterations of cortical thickness (CT) in GBM/HGG patients. METHODS: We used FreeSurfer, applied with high-resolution T1-weighted MRI, to examine CT, evaluated prior to standard treatment with surgery and chemoradiation in patients (GBM/HGG, N = 162, mean age 61.3 years) and 127 healthy controls (HC; 61.9 years mean age). We then compared CT in patients to HC and studied patients’ associated changes in CT as a potential biomarker of overall survival. RESULTS: Compared to HC cases, patients had thinner gray matter in the contralesional hemisphere at the time of tumor diagnosis. patients had significant cortical thinning in parietal, temporal, and occipital lobes. Fourteen cortical parcels showed reduced CT, whereas in 5, it was thicker in patients’ cases. Notably, CT in the contralesional hemisphere, various lobes, and parcels was predictive of overall survival. A machine learning classification algorithm showed that CT could differentiate short- and long-term survival patients with an accuracy of 83.3%. CONCLUSIONS: These findings identify previously unnoticed structural changes in the cortex located in the hemisphere contralateral to the primary tumor mass. Observed changes in CT may have prognostic value, which could influence care and treatment planning for individual patients.
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spelling pubmed-101621112023-05-06 Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival Lamichhane, Bidhan Luckett, Patrick H Dierker, Donna Yun Park, Ki Burton, Harold Olufawo, Michael Trevino, Gabriel Lee, John J Daniel, Andy G S Hacker, Carl D Marcus, Daniel S Shimony, Joshua S Leuthardt, Eric C Neurooncol Adv Basic and Translational Investigations BACKGROUND: Patients with glioblastoma (GBM) and high-grade glioma (HGG, World Health Organization [WHO] grade IV glioma) have a poor prognosis. Consequently, there is an unmet clinical need for accessible and noninvasively acquired predictive biomarkers of overall survival in patients. This study evaluated morphological changes in the brain separated from the tumor invasion site (ie, contralateral hemisphere). Specifically, we examined the prognostic value of widespread alterations of cortical thickness (CT) in GBM/HGG patients. METHODS: We used FreeSurfer, applied with high-resolution T1-weighted MRI, to examine CT, evaluated prior to standard treatment with surgery and chemoradiation in patients (GBM/HGG, N = 162, mean age 61.3 years) and 127 healthy controls (HC; 61.9 years mean age). We then compared CT in patients to HC and studied patients’ associated changes in CT as a potential biomarker of overall survival. RESULTS: Compared to HC cases, patients had thinner gray matter in the contralesional hemisphere at the time of tumor diagnosis. patients had significant cortical thinning in parietal, temporal, and occipital lobes. Fourteen cortical parcels showed reduced CT, whereas in 5, it was thicker in patients’ cases. Notably, CT in the contralesional hemisphere, various lobes, and parcels was predictive of overall survival. A machine learning classification algorithm showed that CT could differentiate short- and long-term survival patients with an accuracy of 83.3%. CONCLUSIONS: These findings identify previously unnoticed structural changes in the cortex located in the hemisphere contralateral to the primary tumor mass. Observed changes in CT may have prognostic value, which could influence care and treatment planning for individual patients. Oxford University Press 2023-04-14 /pmc/articles/PMC10162111/ /pubmed/37152811 http://dx.doi.org/10.1093/noajnl/vdad034 Text en © The Author(s) 2023. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Basic and Translational Investigations
Lamichhane, Bidhan
Luckett, Patrick H
Dierker, Donna
Yun Park, Ki
Burton, Harold
Olufawo, Michael
Trevino, Gabriel
Lee, John J
Daniel, Andy G S
Hacker, Carl D
Marcus, Daniel S
Shimony, Joshua S
Leuthardt, Eric C
Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title_full Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title_fullStr Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title_full_unstemmed Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title_short Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival
title_sort structural gray matter alterations in glioblastoma and high-grade glioma—a potential biomarker of survival
topic Basic and Translational Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10162111/
https://www.ncbi.nlm.nih.gov/pubmed/37152811
http://dx.doi.org/10.1093/noajnl/vdad034
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