This preprint reanalyzes public GBM-Space spatial transcriptomics (38 sections, 6 donors; complete-triad analysis on 4 donors) plus a single-nucleus layer (2,241 endothelial nuclei from 12 donors). The core finding is non-monotonic partitioning: THSD1-FLT4 Recognition rises at the leading-edge to infiltrative-tumor boundary (+0.02875; 4/4 donors), Priming peaks there (+0.14814; 3/4) then declines toward cellular tumor (-0.16409; 0/4), and Gate remodeling dominates the infiltrative-to-cellular transition (+0.21296; 4/4) .
Remodeled endothelium shows robust PLVAP elevation (+1.618 log1pCPM; 11/12 donors) and MFSD2A reduction (-0.714; 10/12) relative to canonical endothelium, reinforced by Xenium cross-technology localization . External datasets (GSE162631, Ivy GAP, GSE131928) corroborate core-peripheral remodeling and malignant-state plasticity with pseudotemporal ordering, though pseudotime is geometric, not lineage-resolved .
Commendably, the authors explicitly treat Recognition-Priming-Gate as a cross-sectional discovery framework, not a temporal cascade, and disclaim permeability or drug-delivery evidence. However, with only 4 independent spatial donors and sign-test P=0.125 for 4/4 consistency, conventional statistical significance is never achievedβa point the authors concede. Xenium lacks THSD1/FLT4/MFSD2A probes, so the transcript-source localization layer is incomplete. The framework is hypothesis-generating, not validated mechanism.
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