ArticleNeuro-oncology2025
Mapping tumor habitats in isocitrate dehydrogenase -wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project.
Article in Neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Integrating Multimodal MRI Habitat and Transformer-Based Pathomics to Predict High-Risk Molecular Subtypes and Explore Biological Mechanisms in Adult Diffuse Gliomas.CNS neuroscience & therapeutics · 2026Article
- Distinguishing Molecular and Histologic Glioblastomas Using Multiparametric MRI-Based Habitat Analysis.Korean journal of radiology · 2026Article
- Biology-informed risk stratification of glioblastoma by integrating MRI-based intratumoral heterogeneity with clinical features: a multicenter validation study.Experimental hematology & oncology · 2026Article
- Uncover This Tech Term: Tumor Habitat Analysis.Korean journal of radiology · 2026Article
- Modern Mining: The Role of Single-cell RNA Sequencing in Advancing Neuroscience Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Cluster habitat-based diffusion MRI radiomics for differentiation of glioblastoma from solitary brain metastasis.European radiology experimental · 2026Article
- Article
- MRI-based habitat analysis for pathologic response prediction after neoadjuvant chemoradiotherapy in rectal cancer: a multicenter study.European radiology · 2026Article
- Mechanical compression induces neuronal apoptosis, reduces synaptic activity, and promotes glial neuroinflammation in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Prospective longitudinal analysis of physiologic MRI-based tumor habitat predicts short-term patient outcomes in IDH-wildtype glioblastoma.Neuro-oncology · 2025Article
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12 authors.
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Abstract
backgroundThe goal of the study was to spatially validate intratumoral subregions (tumor habitat) using physiologic magnetic resonance imaging (MRI) on the pathology of the isocitrate dehydrogenase (IDH)-wild-type whole-glioblastoma sample.
methodsData from 20 patients (168 slides) were obtained from the Ivy Glioblastoma Atlas Project. On MRI, tumor habitats were defined using voxel-wise clustering of the apparent diffusion coefficient and cerebral blood volume maps for contrast-enhancing lesions (CEL) and non-enhancing lesions (NEL). On pathology slides, normalized areas of leading-edge, infiltrating tumor (IT), cellular tumor (CT), hypervascular lesion (CThypervascular), and perinecrotic lesion (CTperinecrotic) were obtained. Gross specimen was coregistered on MRI and correlation between pathology-MRI habitats was calculated. RNA sequencing of 67 samples was assessed using 4 Neftel subtypes and further correlated with pathology.
resultsSix tumor habitats were identified: hypervascular, hypovascular cellular, and hypovascular hypocellular habitats for CEL and NEL. CT was correlated with hypovascular cellular habitat in CEL (r = 0.238, P = .005). IT was correlated with hypovascular cellular habitat in NEL (r = 0.294, P = .017). CThypervascular was correlated with hypervascular habitat in NEL (r = 0.195, P = .023). CTperinecrotic was correlated with imaging necrosis (r = 0.199, P = .005). Astrocyte-like subtypes were correlated with IT (r = 0.256, P < .001), while mesenchymal-like subtypes were correlated with CTperinecrotic area (r = 0.246, P < .001).
conclusionsPathologically matched tumor subregions were CT with hypovascular cellular habitat in CEL and infiltrative tumor with hypovascular cellular habitat in NEL. Identification of the most aggressive, as well as infiltrative tumor portion, can be achieved using noninvasive MRI tumor habitats.
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