Integrating Radiological Analysis and Spatiotemporal Modeling to Uncover Prognostic Heterogeneity in Multifocal Glioblastoma

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ID: 327503
2026
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Abstract
Abstract Multifocal glioblastoma (mGB) is an aggressive brain tumor characterized by clinical and molecular heterogeneity. We reconstructed three-dimensional tumor structures using magnetic resonance images from 35 patients with mGB (wanglab.shinyapps.io/mfgExplorer) and identified two subgroups based on the size of the second‑largest lesion (L2), with larger L2 lesions associated with poorer survival. L2‑large mGBs exhibited frequent genetic alterations and transcriptomic signatures enriched for epithelial-mesenchymal transition and cell migration pathways. Computational modeling and evolutionary analyses indicated that earlier and more extensive tumor cell migration is associated with L2-large morphology and may contribute to poor prognostic outcomes. Our model also implied the widespread existence of radiographically invisible lesions, potentially explaining the inevitable recurrence of this disease, while the proposed mGB score revealed prognostic heterogeneity among mGB patients. Collectively, our work bridges radiological, molecular, and computational analyses to support improved risk stratification and provide a theoretical basis for understanding mGB progression.
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openalex_W7207775856 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jiabao Li, Quanhua Mu, Yiming LI, Mingrui Jiang, Ruiyang Wang, Zheng Hu, Yinyan Wang, Jiguang Wang
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Journal national science review
Year 2026
DOI
10.1093/nsr/nwag568
URL
https://doi.org/10.1093/nsr/nwag568
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