Skip to content
Open access

Ex vivo glioblastoma migration phenotypes define clinical recurrence and tumor heterogeneity

Sep 2026 · bioRxiv · 0 citations · 52 references
Biology

TL;DR

The utility of ex vivo glioblastoma characterization is demonstrated, allowing decoding of tumor heterogeneity and clinical prognostication as well as providing a framework for deconvoluting the complex cancer phenotype.

Abstract

Glioblastoma’s pronounced migratory capacity underlies its diffuse invasion, presenting a formidable barrier to successful treatment. Ex vivo characterization of glioblastoma cells isolated from freshly resected clinical samples under physiologically relevant conditions revealed two distinct migratory phenotypes, Fast-Migrating (FM) and Slow-Migrating (SM). These phenotypes reflect distinct mechanosensitivity profiles and are associated with pharmacological responses that support the motor–clutch model of cell migration. Analysis of genes associated with these phenotypes revealed a transcriptomic signature that closely associated with in vitro cell migration, histological invasion in patient specimens, and clinical survival. Single-nucleus RNA sequencing revealed that FM and SM cells coexist within a single glioblastoma, with FM cells enriched at the periphery and SM cells localized to the tumor core. Collectively, our study demonstrates the utility of ex vivo glioblastoma characterization, allowing decoding of tumor heterogeneity and clinical prognostication as well as providing a framework for deconvoluting the complex cancer phenotype.

Read PDF

Similar papers

Open access Sep 2026

Stem cell morphology defines functional heterogeneity and therapeutic vulnerabilities in glioblastoma.

BACKGROUND Glioblastoma (GBM) is an aggressive brain tumor and an unmet clinical need due to its invasiveness and therapy resistance. These features are driven by glioblastoma stem-like cells (GSLCs), which exhibit remarkable functional heterogeneity. While transcriptional profiling has helped define this heterogeneity...

C. Barelli, M. Bonfanti, F. Mirabella et al. · 0 citations
Open access Oct 2026

Genomic alterations and treatment define spatiotemporal patterns of glioblastoma recurrence.

The surgical margin is the primary site of glioblastoma recurrence, yet its molecular features remain poorly characterized. We performed histology-guided sampling and single-cell spatial transcriptomics of surgical margin and adjacent recurrent tumor regions, with matched primary tumors from 40 patients. The surgical m...

S. Artzi, D. Harwood, A. Locallo et al. · 0 citations
Open access Sep 2026

Evolution and heterogeneity of lethal metastatic bladder cancer subtypes.

It is shown that metastasis-to-metastasis seeding is the dominant pattern of cancer spread and that increased polyclonal migration predicts poor prognosis, and that post-mortem cell-free DNA captures genomic and transcriptional heterogeneity of the subtypes, which provides a potential strategy for noninvasive assessmen...

P. Itagi, Samantha L. Schuster, Sonali Arora et al. · 0 citations
Review Open access Aug 2026

Toward functional precision oncology: organotypic brain slices in glioblastoma

An integrated overview of organotypic slice models derived from mouse, rat, and human tissue, with a focus on their application in studying glioblastoma invasion, tumor–microenvironment interactions, and therapeutic response is provided.

A. Bondar, Susanne Raulefs, Jette Wrana et al. · 0 citations
Open access Aug 2026

Cell-Free DNA Sequencing Captures Tumor Dynamics, Microenvironment Interactions, and Treatment Pressures in Glioblastoma.

BACKGROUND Glioblastoma (GBM) is a highly aggressive brain tumor for which cell-free DNA (cfDNA) has shown promise as a minimally invasive biomarker, yet the biological processes governing cfDNA release and composition in GBM remain incompletely understood. METHODS We investigated cfDNA release dynamics, fragmentatio...

Sharvari Mankame, Angad Beniwal, M. Dufault et al. · 0 citations
Open access Sep 2026

Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma

A mesenchymal gene-expression program linked to inflammation and tissue remodeling was consistently associated with higher tumor grade and shorter survival, and within tumor tissue it was clearly organized in space.

Kesavi HimaBindhu Vuyyuru, Vyshnavi Daggubati, A. P. Karlapudi et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.