Pluto Bioinformatics

GSE144610: Highly-motile versus unsorted bulk primary Glioblastoma cells from two patients (GBM965 and GBM897)

Bulk RNA sequencing

Glioblastoma (GBM) is the most aggressive form of brain cancer, characterized by high recurrence and dismal prognosis. Presently, there is no effective in vitro platform that can rapidly measure complex cellular phenotypic traits and predict patient-specific clinical outcomes. Here, we fabricated and evaluated an in vitro testing platform, Microfluidic Assay for Quantification of Cell Invasion (MAqCI), by screening a panel of 28 patient-derived primary GBM specimens in a blinded multi-institutional retrospective cohort study. We quantified the ability of GBM cells to navigate and squeeze through confined microenvironments that mimic tight perivascular conduits and white matter tracts in the brain parenchyma in vivo, as well as the proliferative capacity of highly motile subpopulations. By combining migratory- and proliferative-based indices, MAqCI correctly categorized patients into short- or long-term survival groups with high sensitivity (84%), specificity (89%), and accuracy (86%), and predicted time to recurrence. In a pilot prospective study, MAqCI classified all 5 patients accurately based on their survival outcomes. Overall, our study suggests that invasive growth is intimately linked with GBM progression and patient outcomes, and reveals the translational potential of MAqCI for personalized GBM care. SOURCE: Konstantinos Konstantopoulos ( - Johns Hopkins University

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