Radiologic Features and Expression of Vascular Endothelial Growth Factor Stratify Survival Outcomes in Patients with Glioblastoma

Wang, K.; Wang, Y.Y.; Wang, Jun-Feng; Ma, Jieling; Jiang, Tao; Dai, Jianping

doi:10.3174/ajnr.a4567

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…Previous studies have revealed that PFS can be predicted by several conventional observable MRI features (e.g., tumor contrast enhancement pattern,( Wang et al, 2016a ) peritumoral edema ( Wang et al, 2016b ), and tumor location ( Wang et al, 2017 )) in certain subgroups of glioma. Additionally, a series of correlations has been found between PFS in patients with gliomas and voxel-based imaging features, such as the maximum relative cerebral blood volume value ( Bisdas et al, 2009 ) and the minimum apparent diffusion coefficient ( Romano et al, 2013 ) of a single voxel in the tumor region.…”

Section: Discussionmentioning

confidence: 99%

A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

Liu

Qian

et al. 2018

NeuroImage: Clinical

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ObjectiveThe aim of this study was to develop a radiomics signature for prediction of progression-free survival (PFS) in lower-grade gliomas and to investigate the genetic background behind the radiomics signature.MethodsIn this retrospective study, training (n = 216) and validation (n = 84) cohorts were collected from the Chinese Glioma Genome Atlas and the Cancer Genome Atlas, respectively. For each patient, a total of 431 radiomics features were extracted from preoperative T2-weighted magnetic resonance images. A radiomics signature was generated in the training cohort, and its prognostic value was evaluated in both the training and validation cohorts. The genetic characteristics of the group with high-risk scores were identified by radiogenomic analysis, and a nomogram was established for prediction of PFS.ResultsThere was a significant association between the radiomics signature (including 9 screened radiomics features) and PFS, which was independent of other clinicopathologic factors in both the training (P < 0.001, multivariable Cox regression) and validation (P = 0.045, multivariable Cox regression) cohorts. Radiogenomic analysis revealed that the radiomics signature was associated with the immune response, programmed cell death, cell proliferation, and vasculature development. A nomogram established using the radiomics signature and clinicopathologic risk factors demonstrated high accuracy and good calibration for prediction of PFS in both the training (C-index, 0.684) and validation (C-index, 0.823) cohorts.ConclusionsPFS can be predicted non-invasively in patients with LGGs by a group of radiomics features that could reflect the biological processes of these tumors.

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Section: Discussionmentioning

confidence: 99%

A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

Liu

Qian

et al. 2018

NeuroImage: Clinical

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165

134

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“…Administration of a gadolinium-based contrast agent is a widely utilized method for assessing patients with intracranial neoplasms [9][10][11][12][13]. While there have been studies to understand the physiologic processes underlying contrast enhancement (CE), these efforts largely relied on qualitative assessment and involved limited number of patient samples [14][15][16][17][18]. Some established associations with contrast enhancement in GBM include downregulation of proteins maintaining the BBB (e.g., tight junction protein-2) [16], and overexpression of genes associated with the hypoxia-angiogen esis-edema pathway (e.g., Vascular Endothelial Growth Factor [VEGF]) [16,17,19] and extracellular matrix destruction/tumor cell invasion (e.g., matrix metalloproteinase-7 [MMP7]) [20].…”

Section: Introductionmentioning

confidence: 99%

Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA)

Treiber

Steed

Brandel

et al. 2018

Journal of Clinical Neuroscience

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The physiologic processes underlying MRI contrast enhancement in glioblastoma patients remain poorly understood. MRIs of 148 glioblastoma subjects from The Cancer Imaging Archive were segmented using Iterative Probabilistic Voxel Labeling (IPVL). Three aspects of contrast enhancement (CE) were parametrized: the mean intensity of all CE voxels (CE), the intensity heterogeneity in CE (CE), and volumetric ratio of CE to necrosis (CE). Associations between these parameters and patterns of gene expression were analyzed using DAVID functional enrichment analysis. Glioma CpG island methylator phenotype (G-CIMP) glioblastomas were poorly enhancing. Otherwise, no differences in CE parameters were found between proneural, neural, mesenchymal, and classical glioblastomas. High CE was associated with expression of genes that mediate inflammatory responses. High CE was associated with increased expression of genes that regulate remodeling of extracellular matrix (ECM) and endothelial permeability. High CE was associated with increased expression of genes that mediate cellular response to stressful metabolic states, including hypoxia and starvation. Our results indicate that CE in glioblastoma is associated with distinct biological processes involved in inflammatory response and tissue hypoxia. Integrative analysis of these CE parameters may yield meaningful information pertaining to the biologic state of glioblastomas and guide future therapeutic paradigms.

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“…As the tumor develops, it may activate secondary angiogenic pathways, such as bFGF, TGF, and PDGF. GBMs exhibit high levels of VEGF [76]. Higher vascular permeability leads also to radiologic postcontrast enhancement.…”

Section: Most Frequent Genetic Alterations Of Gbmmentioning

confidence: 99%

“…In such tumors, the gross total resection is easier to obtain. High expression of VEGF is associated with poor prognosis, but there are other factors determining prognosis, such as the extent of resection [76].…”

Section: Most Frequent Genetic Alterations Of Gbmmentioning

confidence: 99%

Genetic Alterations of Glioblastoma

Richterová¹,

Kolarovszki²

2016

Neurooncology - Newer Developments

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The current research in oncology is focused on genetics and molecular oncology in order to obtain better understanding of the etiology of tumor disease. Detailed knowledge of oncogenesis mechanisms could lead to invention of effective therapeutic tools against cancer. Under healthy conditions, cell cycle is regulated by oncogenes and tumor suppressor genes, which should be in strict balance. Genesis of tumor is a consequence of the accumulation of genetic alterations, which help the cell to escape normal cellular regulatory mechanisms and destruction by immune system. Glioblastoma GBM is a highly malignant primary brain tumor occurring mostly in population of adults. Patients suffering from GBM have very poor prognosis. Despite development in radiology methods promising earlier diagnosis and development of clinical and radiation oncology with newer treatment regimes, the effect of therapy remains limited and prognosis of patients has not improved as expected. Target of GBM research are genes involved in response to oxidative stress and DNA damage, genes regulating cell cycle, genes determining immune response, growth factors, and others. Genetic alterations are studied in connection to their possible relationship to susceptibility of brain tissue for tumor formation, to sensitivity of brain tissue for various environmental etiology factors, to effect of anticancer treatment or resistance of tumor tissue to therapy, to overall survival, and progression-free interval.Keywords: glioblastoma, genes, alteration, mutations, genetic pathways . IntroductionGlioblastoma GBM is a brain tumor of neuroectodermal origin. It is a second most common primary brain neoplasm and the most common from malignant brain tumors. This tumor arises from neural stem cells NSCs , progenitor cells, dedifferentiated mature neural cells or neuroepithelial stem cells that transform into cancer stem cells CSCs or glioblastoma stem GSC or stem-like cells [ ]. Stem cells have a high potential of self-renewal and differentia-© 2016 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.tion. GBM is a tumor with highest degree of anaplasia within gliomas. It is classified as grade IV according to the WHO classification of brain tumors from . This lesion has a rapid growth, is unbounded, infiltrates surrounding brain tissue, but rarely metastasizes. When metastases occur, it is usually within the central nervous system. Typical histopathological features of this tumor are cells of recognizably astrocyte origin, but displaying cellular pleomorphism with multinucleation, frequent mitoses, and areas of necrosis surrounded by palisading nuclei increased tumor cell density and endothelial proliferation as a manifestation of cellular hyperplasia with numerous clusters of blood vessels forming so-called glomeruloid for...

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Radiologic Features and Expression of Vascular Endothelial Growth Factor Stratify Survival Outcomes in Patients with Glioblastoma

Cited by 7 publications

References 26 publications

A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

A radiomic signature as a non-invasive predictor of progression-free survival in patients with lower-grade gliomas

Molecular physiology of contrast enhancement in glioblastomas: An analysis of The Cancer Imaging Archive (TCIA)

Genetic Alterations of Glioblastoma

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