biostudies-literatureUnknown25(1)Manoharan VT<h4>Background</h4>Diffuse invasion of glioblastoma cells through normal brain tissue is a key contributor to tumor aggressiveness, resistance to conventional therapies, and dismal prognosis in patients. A deeper understanding of how components of the tumor microenvironment (TME) contribute to overall tumor organization and to programs of invasion may reveal opportunities for improved therapeutic strategies.<h4>Results</h4>Towards this goal, we apply a novel computational workflow to a spatiotemporally profiled GBM xenograft cohort, leveraging the ability to distinguish human tumor from mouse TME to overcome previous limitations in the analysis of diffuse invasion. Our analytic approach, based on unsupervised deconvolution, performs reference-free discovery of cell types and cell activitieGenome biology264https://www.ebi.ac.uk/biostudies/studies/S-EPMC11465563biostudies-literatureSpatiotemporal modeling reveals high-resolution invasion states in glioblastoma.PMC11465563Zemp FSeo HAhn BYChan JAAbdelkareem AMah LSenger DLGill GOsz KDang NHManoharan VTGrewal SLun XMorrissy ASGillmor AHall CMahoney DBrown SNarta KfalseSpatiotemporal modeling reveals high-resolution invasion states in glioblastoma.<h4>Background</h4>Diffuse invasion of glioblastoma cells through normal brain tissue is a key contributor to tumor aggressiveness, resistance to conventional therapies, and dismal prognosis in patients. A deeper understanding of how components of the tumor microenvironment (TME) contribute to overall tumor organization and to programs of invasion may reveal opportunities for improved therapeutic strategies.<h4>Results</h4>Towards this goal, we apply a novel computational workflow to a spatiotemporally profiled GBM xenograft cohort, leveraging the ability to distinguish human tumor from mouse TME to overcome previous limitations in the analysis of diffuse invasion. Our analytic approach, based on unsupervised deconvolution, performs reference-free discovery of cell types and cell activitie2024-01-01T00:00:00Z2024 Oct2026-07-15T13:11:56.815Z2025-04-04T23:50:04.058ZS-EPMC114655633939046710.1186/s13059-024-03407-3