Ex vivo glioblastoma migration phenotypes define clinical recurrence and tumor heterogeneity
Hou, J.; McMahon, M.; Ni, A.; Wang, Z.; Taylor, B.; Loe, T.; Xie, Y.; Chang, L.; Gardeck, A.; Gokaslan, Z.; Dunsiger, S.; Ren, B.; Chen, C.; Odde, D. J.
Show 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.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence 94%
- Single-cell landscapes of primary glioblastomas and matched organoids and cell lines reveal variable retention of inter- and intra-tumor heterogeneity 94%
- Genomic and transcriptomic determinants of therapy resistance and immune landscape evolution during anti-EGFR treatment in colorectal cancer 93%
Similar papers in this journal
- Single-nucleus analysis characterizes non-enhancing region of recurrent high-grade glioma 95%
- Tumor Edge-to-Core Transition Promotes Malignancy in Primary-to-Recurrent Glioblastoma Progression in a PLAGL1/CD109-mediated mechanism 95%
- Spatial architecture of high-grade glioma reveals tumor heterogeneity within distinct domains 94%
Similar papers in this journal
- Capture at the single cell level of metabolic modules distinguishing aggressive and indolent glioblastoma cells 93%
- Distinct Tumor-TAM Interactions in IDH-Stratified Glioma Microenvironments unveiled by Single-Cell and Spatial Transcriptomics 93%
- EMP3 sustains oncogenic EGFR/CDK2 signaling by restricting receptor degradation in glioblastoma 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.