A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma
Introduction: Proneural and mesenchymal subtypes are the most distinct demarcated categories in classification scheme, and there is often a shift from proneural type to mesenchymal subtype in the progression of glioblastoma (GBM). The molecular characters are determined by specific genomic methods,...
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doaj-4537c73444694e509a0b175d5c56d8cf2021-03-17T05:37:00ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-03-011110.3389/fonc.2021.595259595259A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in GlioblastomaTengfei Qi0Xiangqi Meng1Zhenyu Wang2Xinyu Wang3Nan Sun4Jianguang Ming5Lejia Ren6Chuanlu Jiang7Jinquan Cai8Jinquan Cai9Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaDepartment of Microbiology, Tumor and Cell Biology (MTC), Biomedicum, Karolinska Institutet, Stockholm, SwedenIntroduction: Proneural and mesenchymal subtypes are the most distinct demarcated categories in classification scheme, and there is often a shift from proneural type to mesenchymal subtype in the progression of glioblastoma (GBM). The molecular characters are determined by specific genomic methods, however, the application of radiography in clinical practice remains to be further studied. Here, we studied the topography features of GBM in proneural subtype, and further demonstrated the survival characteristics and proneural-mesenchymal transition (PMT) progression of samples by combining with the imaging variables.Methods: Data were acquired from The Cancer Imaging Archive (TCIA, http://cancerimagingarchive.net). The radiography image, clinical variables and transcriptome subtype from 223 samples were used in this study. Proneural and mesenchymal subtype on GBM topography based on overlay and Voxel-based lesion-symptom mapping (VLSM) analysis were revealed. Besides, we carried out the comparison of survival analysis and PMT progression in and outside the VLSM-determined area.Results: The overlay of total GBM and separated image of proneural and mesenchymal subtype revealed a correlation of the two subtypes. By VLSM analysis, proneural subtype was confirmed to be related to left inferior temporal medulla, and no significant voxel was found for mesenchymal subtype. The subsequent comparison between samples in and outside the VLSM-determined area showed difference in overall survival (OS) time, tumor purity, epithelial-mesenchymal transition (EMT) score and clinical variables.Conclusions: PMT progression was determined by radiography approach. GBM samples in the VLSM-determined area tended to harbor the signature of proneural subtype. This study provides a valuable VLSM-determined area related to the predilection site, prognosis and PMT progression by the association between GBM topography and molecular characters.https://www.frontiersin.org/articles/10.3389/fonc.2021.595259/fullvoxel-based lesion-symptom mappingproneural subtypemesenchymal subtypemagnetic resonance imagingglioblastoma |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tengfei Qi Xiangqi Meng Zhenyu Wang Xinyu Wang Nan Sun Jianguang Ming Lejia Ren Chuanlu Jiang Jinquan Cai Jinquan Cai |
spellingShingle |
Tengfei Qi Xiangqi Meng Zhenyu Wang Xinyu Wang Nan Sun Jianguang Ming Lejia Ren Chuanlu Jiang Jinquan Cai Jinquan Cai A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma Frontiers in Oncology voxel-based lesion-symptom mapping proneural subtype mesenchymal subtype magnetic resonance imaging glioblastoma |
author_facet |
Tengfei Qi Xiangqi Meng Zhenyu Wang Xinyu Wang Nan Sun Jianguang Ming Lejia Ren Chuanlu Jiang Jinquan Cai Jinquan Cai |
author_sort |
Tengfei Qi |
title |
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma |
title_short |
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma |
title_full |
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma |
title_fullStr |
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma |
title_full_unstemmed |
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma |
title_sort |
voxel-based radiographic analysis reveals the biological character of proneural-mesenchymal transition in glioblastoma |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2021-03-01 |
description |
Introduction: Proneural and mesenchymal subtypes are the most distinct demarcated categories in classification scheme, and there is often a shift from proneural type to mesenchymal subtype in the progression of glioblastoma (GBM). The molecular characters are determined by specific genomic methods, however, the application of radiography in clinical practice remains to be further studied. Here, we studied the topography features of GBM in proneural subtype, and further demonstrated the survival characteristics and proneural-mesenchymal transition (PMT) progression of samples by combining with the imaging variables.Methods: Data were acquired from The Cancer Imaging Archive (TCIA, http://cancerimagingarchive.net). The radiography image, clinical variables and transcriptome subtype from 223 samples were used in this study. Proneural and mesenchymal subtype on GBM topography based on overlay and Voxel-based lesion-symptom mapping (VLSM) analysis were revealed. Besides, we carried out the comparison of survival analysis and PMT progression in and outside the VLSM-determined area.Results: The overlay of total GBM and separated image of proneural and mesenchymal subtype revealed a correlation of the two subtypes. By VLSM analysis, proneural subtype was confirmed to be related to left inferior temporal medulla, and no significant voxel was found for mesenchymal subtype. The subsequent comparison between samples in and outside the VLSM-determined area showed difference in overall survival (OS) time, tumor purity, epithelial-mesenchymal transition (EMT) score and clinical variables.Conclusions: PMT progression was determined by radiography approach. GBM samples in the VLSM-determined area tended to harbor the signature of proneural subtype. This study provides a valuable VLSM-determined area related to the predilection site, prognosis and PMT progression by the association between GBM topography and molecular characters. |
topic |
voxel-based lesion-symptom mapping proneural subtype mesenchymal subtype magnetic resonance imaging glioblastoma |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2021.595259/full |
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