ArticleAJNR. American journal of neuroradiology2013
Probabilistic radiographic atlas of glioblastoma phenotypes.
Article in AJNR. American journal of neuroradiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 229 citations in OpenAlex.
- The Three Pillars of Glioblastoma: A Systematic Review and Novel Analysis of Multi-Omics and Clinical Data.Cells · 2024Pooled it
- Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.Medical physics · 2020Pooled it
- Quantitative magnetic resonance imaging and radiogenomic biomarkers for glioma characterisation: a systematic review.The British journal of radiology · 2018Pooled it
- Framework for Statistical Parametric Mapping of the Interactions between Glioblastoma Location, Treatment, Prognostic Variables, and Survival Using a Phase III Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Trial
- Characterization and Correction of Geometric Distortions in 814 Diffusion Weighted Images.PloS one · 2016Trial
- IDH status shapes glioma oncotopy: voxel-wise mapping of 644 adult diffuse gliomas.Neuroradiology · 2026Article
- Voxel-based evaluation of hemorrhage risk in brain biopsies.Neurosurgical review · 2026Article
- Article
- Data-driven probabilistic mapping of the spatial and molecular landscape of glioma.Brain communications · 2026Article
- Review
- Impact of gliomas in different brain hemispheres on anxiety and the prognosis of neurosurgical patients.Scientific reports · 2025Article
- Anatomical distribution and prognostic heterogeneity in glioma: unique clinical features of occipital glioblastoma.Journal of neuro-oncology · 2025Article
- Automated feature learning and survival prognostication in grade 4 glioma using supervised machine learning models.Journal of neuro-oncology · 2025Article
- Tumor location, genomic alterations, and radiomic features as predictors of survival in glioblastoma: a Multi-Modal analysis.Neuroradiology · 2025Article
- Voxel-wise analysis of brain metastasis predilection sites in breast cancer by clinical features.Discover oncology · 2025Article
- Managing diffuse intrinsic Pontine glioma (DIPG) through japan's pediatric home medical care (PHMC) system, originally designed for medically complex children.BMC palliative care · 2025Article
- Uncovering novel functions of NUF2 in glioblastoma and MRI-based expression prediction.Scientific reports · 2025Article
- Advanced imaging characterization of post-chemoradiation glioblastoma stratified by diffusion MRI phenotypes known to predict favorable anti-VEGF response.Journal of neuro-oncology · 2025Article
- Effects of different hemispheric gliomas on depression and prognosis in neurosurgery patients.Irish journal of medical science · 2025Article
- Sequential immunotherapy and bevacizumab treatments in glioblastoma multiforme: A case series and review of the literature.Oncology letters · 2025Article
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeTumor location is a significant prognostic factor in glioblastoma, which may reflect the genetic profile of tumor precursor cells. The purpose of the current study was to construct and analyze probabilistic radiographic atlases reflecting preoperative tumor locations and corresponding demographic, "-omic," and interventional phenotypes to provide insight into potential niche locations of glioblastoma cells of origin. MATERIALS AND
methodsPreoperative anatomic MR images in 507 patients with de novo glioblastoma were analyzed. Images were registered to stereotactic space, tumors were segmented, and the stereospecific frequency of tumor occurrence was analyzed statistically by age, extent of resection, MGMT methylation, IDH1 mutation, gene expression subclassification, PTEN loss, PTEN deficiency, EGFR amplification, EGFR variant 3 expression, progression-free survival from the start of radiochemotherapy, and overall survival from initial diagnosis.
resultsMost glioblastomas grow into the periventricular white matter regions adjacent to the subventricular zone. MGMT promoter methylated tumors occur more frequently in the left temporal lobe, in young patients with glioblastoma, in IDH1 mutant tumors, in tumors having the proneural gene expression subtype, and in tumors lacking loss of PTEN occurring most frequently in the frontal lobe. MGMT methylated tumors with the IDH1 mutation tended to occur in the left frontal lobe. EGFR amplified and EGFR variant 3-expressing tumors occurred most frequently in the left temporal lobe. A similar region in the left temporal lobe was associated with favorable response to radiochemotherapy and increased survival.
conclusionsRadiographic atlases for specific phenotypes provide insight into overlap between prognostic variables and may help to identify niche locations for cancer cells of origin.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.