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Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas

Susceptibility-weighted imaging (SWI) can be a useful tool to depict vascular structures in brain tumors as well as micro-bleedings, which represent tumor invasion to blood vessels and could also be representative of tumoral angiogenesis. In this study, we investigated the relationship between SWI f...

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Autores principales: Kong, Ling-Wei, Chen, Jin, Zhao, Heng, Yao, Kun, Fang, Sheng-Yu, Wang, Zheng, Wang, Yin-Yan, Li, Shou-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863858/
https://www.ncbi.nlm.nih.gov/pubmed/31745161
http://dx.doi.org/10.1038/s41598-019-53629-w
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author Kong, Ling-Wei
Chen, Jin
Zhao, Heng
Yao, Kun
Fang, Sheng-Yu
Wang, Zheng
Wang, Yin-Yan
Li, Shou-Wei
author_facet Kong, Ling-Wei
Chen, Jin
Zhao, Heng
Yao, Kun
Fang, Sheng-Yu
Wang, Zheng
Wang, Yin-Yan
Li, Shou-Wei
author_sort Kong, Ling-Wei
collection PubMed
description Susceptibility-weighted imaging (SWI) can be a useful tool to depict vascular structures in brain tumors as well as micro-bleedings, which represent tumor invasion to blood vessels and could also be representative of tumoral angiogenesis. In this study, we investigated the relationship between SWI features and glioma grades, and the expression of key molecular markers isocitrate dehydrogenase 1 (IDH1), O-6-methylguanine-DNA methyltransferase (MGMT), and 1p19q. The gliomas were graded according to the intratumoral susceptibility signals (ITSS). We used the Mann-Whitney test to analyze the relationship between ITSS grades and the pathological level and status of these markers. Additionally, the area under the curve (AUC) was used to determine the predictive value of glioma SWI characteristics for the molecular marker status. In these cases, the ITSS grades of low-grade gliomas (LGG) were significantly lower than those of high-grade gliomas (HGG). Similarly, the ITSS grades of gliomas with IDH1 mutations and MGMT methylation were significantly lower than those of gliomas with Wild-type IDH1 and unmethylated MGMT. However, ITSS grades showed no relationship with 1p19q deletion status, while they did show significant predictive ability for glioma grade, IDH1 mutation, and MGMT methylation. These findings indicate an association between some molecular markers and cerebral microbleeds in gliomas, providing a new avenue for non-invasive prediction of molecular genetics in gliomas and an important basis for preoperative personalized surgical treatment based on molecular pathology.
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spelling pubmed-68638582019-12-03 Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas Kong, Ling-Wei Chen, Jin Zhao, Heng Yao, Kun Fang, Sheng-Yu Wang, Zheng Wang, Yin-Yan Li, Shou-Wei Sci Rep Article Susceptibility-weighted imaging (SWI) can be a useful tool to depict vascular structures in brain tumors as well as micro-bleedings, which represent tumor invasion to blood vessels and could also be representative of tumoral angiogenesis. In this study, we investigated the relationship between SWI features and glioma grades, and the expression of key molecular markers isocitrate dehydrogenase 1 (IDH1), O-6-methylguanine-DNA methyltransferase (MGMT), and 1p19q. The gliomas were graded according to the intratumoral susceptibility signals (ITSS). We used the Mann-Whitney test to analyze the relationship between ITSS grades and the pathological level and status of these markers. Additionally, the area under the curve (AUC) was used to determine the predictive value of glioma SWI characteristics for the molecular marker status. In these cases, the ITSS grades of low-grade gliomas (LGG) were significantly lower than those of high-grade gliomas (HGG). Similarly, the ITSS grades of gliomas with IDH1 mutations and MGMT methylation were significantly lower than those of gliomas with Wild-type IDH1 and unmethylated MGMT. However, ITSS grades showed no relationship with 1p19q deletion status, while they did show significant predictive ability for glioma grade, IDH1 mutation, and MGMT methylation. These findings indicate an association between some molecular markers and cerebral microbleeds in gliomas, providing a new avenue for non-invasive prediction of molecular genetics in gliomas and an important basis for preoperative personalized surgical treatment based on molecular pathology. Nature Publishing Group UK 2019-11-19 /pmc/articles/PMC6863858/ /pubmed/31745161 http://dx.doi.org/10.1038/s41598-019-53629-w Text en © The Author(s) 2019 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
Kong, Ling-Wei
Chen, Jin
Zhao, Heng
Yao, Kun
Fang, Sheng-Yu
Wang, Zheng
Wang, Yin-Yan
Li, Shou-Wei
Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title_full Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title_fullStr Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title_full_unstemmed Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title_short Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas
title_sort intratumoral susceptibility signals reflect biomarker status in gliomas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6863858/
https://www.ncbi.nlm.nih.gov/pubmed/31745161
http://dx.doi.org/10.1038/s41598-019-53629-w
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