ArticleOncotarget2017
Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review.International journal of molecular sciences · 2019Pooled it
- Molecular mechanisms and therapeutic targets in glioblastoma multiforme: network and single-cell analyses.Scientific reports · 2025Article
- Correlation between dynamic susceptibility contrast perfusion MRI and genomic alterations in glioblastoma.Neuroradiology · 2021Article
- Uncovering a Distinct Gene Signature in Endothelial Cells Associated With Contrast Enhancement in Glioblastoma.Frontiers in oncology · 2021Article
- Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.Journal of magnetic resonance imaging : JMRI · 2020Review
- Arterial spin labeling perfusion-weighted imaging aids in prediction of molecular biomarkers and survival in glioblastomas.European radiology · 2020Article
- Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation.Magma (New York, N.Y.) · 2019Article
- Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle.BMC genomics · 2019Article
- A Six-Gene Signature Predicts Survival of Adenocarcinoma Type of Non-Small-Cell Lung Cancer Patients: A Comprehensive Study Based on Integrated Analysis and Weighted Gene Coexpression Network.BioMed research international · 2019Article
- MR-spectroscopic imaging of glial tumors in the spotlight of the 2016 WHO classification.Journal of neuro-oncology · 2018Article
- Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.Oncotarget · 2018Review
- Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis.Oncotarget · 2017Article
- Radiogenomic Analysis of Oncological Data: A Technical Survey.International journal of molecular sciences · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to investigate the molecular background of cerebral blood volume (CBV) and vessel size (VS) of capillaries in glioblastoma multiforme (GBM). Both parameters are derived from extended perfusion MR imaging.A prospective case study including 21 patients (median age 66 years, 10 females) was performed. Before operation, CBV and VS of contrast enhancing tumor were assessed. Tissue was sampled from the assessed areas under neuronavigation control. After RNA extraction, transcriptional data was analyzed by Weighted Gene Co-Expression Network Analysis (WGCNA) and split into modules based on its network affiliations. Gene Set Enrichment Analysis (GSEA) identified biological functions or pathways of the genetic modules. These were applied on 484 GBM samples of the TCGA database.Ten modules were highly correlated to CBV and VS. One module was exclusively associated to VS and highly correlated to hypoxia, another one exclusively to CBV showing strong enrichments in the Epithelial Growth Factor (EGF) pathway and Epithelial-to-Mesenchymal-Transition (EMT). Moreover, patients with increased CBV and VS predominantly showed a mesenchymal gene-expression, a finding that could be corroborated by TCGA data.In conclusion, CBV and VS mirror different genetic pathways and reflect certain molecular subclasses of GBM.
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Registered trials
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