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Record W4404237036 · doi:10.1093/neuonc/noae165.0062

ANGI-03. GLIOMA STEM CELLS INDUCE VASECTASIA – A NON-ANGIOGENIC BRAIN TUMOUR NEOVASCULARIZATION PROCESS DRIVEN BY INTERCELLULAR EGFR TRANSFER THROUGH EXTRACELLULAR VESICLES

2024· article· en· W4404237036 on OpenAlexaff
Janusz Rak, Cristiana Spinelli, Lata Adnani, Fang Cheng Wong, Brian Meehan, Laura Montermini, Sidong Huang, Minjun Kim, Tamiko Nishimura, Sidney Croul, Ichiro Nakano, Yasser Riazalhosseini

Bibliographic record

VenueNeuro-Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicTissue Engineering and Regenerative Medicine
Canadian institutionsDalhousie UniversityMcGill University
Fundersnot available
KeywordsExtracellular vesiclesGliomaIntracellularAngiogenesisExtracellularNeovascularizationVesicleCell biologyChemistryCancer researchBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Tumour neovascularization in glioblastoma (GBM) is abundant, abnormal and poorly understood, and it likely involves multiple co-existing mechnanisms with distinct modes of regulation. Since glioma stem cells (GSCs) engage in bidirectional interactions with the vasculature we dissected the resulting vascular responses elicited by either proneural (PN), or mesenchymal (MES) GSC subtypes established from patients isolates and able to drive progression of orthotopic intracranial xenografts in mice. We report here that while PN-GSCs elicited mostly angiogenesis-type vascular capillary growth processes, their MES-GSC counterparts elicited non-angiogenic growth of enlarged vessels (vasectesia), paradoxically associated with reduced blood vessel density. Vasectasia was dependent on the expression of oncogenic EGFR/EGFRvIII by MES-GSCs, and on the related kinase/signalling activity, as EGFR/EGFRvIII gene disruption and Dacomitinib treatment suppressed formation of large blood vessels in vivo and resulted in a preponderance of a small calliber (angiogenic) vasculature throughout xenografts. Notably, the analysis of spatial transcriptomes and single cell RNA sequencing revealed distinct molecular traits of endothelial cells asociated with vasectasia and angiogesis, the former enriched in Birc5, but depleted for angiogenic tip cell markers (Vegfr2, Apln). Mechnaistically, vasectasia was linked to the intercellular transfer of EGFR from MES-GSCs to endothelial cells resulting in ectopic activation of EGFR signalling in the endothelial cell bacground, both in vitro and in a model of in vivo blood vessel recruitment into implanted matrigel pellets. Simultaneous pharmacological blockade of both, angiogenesis (anti-VEGR2) and vasectasia (Dacomitinib) lead to a marked increase in survival of mice with aggressive GBM lesions initiated by MES-GSCs. We suggest that, vasectasia driven by intercellular transfer of oncogenic EGFR may represent a new, subtype-specific mechanism of GBM neovascularization, and a plausible target for agents aiming to modify vascular tumour microenvironment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.275
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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