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Record W2330836741 · doi:10.1158/1538-7445.am2011-3476

Abstract 3476: Blockade of endothelial Notch diminishes tumor growth and perfusion

2011· article· en· W2330836741 on OpenAlexaff
Alexandre Patenaude, Linda Chang, Erika Diaz, Megan Fuller, Fred Wong, Aly Karsan

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsNotch signaling pathwayLewis lung carcinomaMural cellBiologyVascular endothelial growth factor APericyteGenetically modified mouseCancer researchCell biologyReceptorTransgeneChemistryEndocrinologyVascular endothelial growth factorEndothelial stem cellSignal transductionVascular smooth muscleCancerBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Canonical Notch signaling comprises a family of receptors and ligands that modulate cell fate and differentiation. Upon ligand binding, Notch receptors undergo a series of cleavages that culminate in the translocation of the intracellular domain to the nucleus, resulting in transcriptional activation through the derepression and activation at CSL-bound promoters. Notch activity is essential for embryonic vascular development and was recently also shown to be important for adult neovascularization. Notably, blocking Notch signaling by inhibition of the ligand Dll4 increased endothelial proliferation and sprouting, but resulted in non-perfused vasculature and tumor growth inhibition. Moreover, Dll4 inhibition was shown to diminish vascular mural cells, such as pericytes, in tumors. Whether these effects of Dll4 blockade on tumor vasculature resulted specifically from Notch inhibition in endothelial cells remains to be fully elucidated. We investigated this question using a tetracycline-inducible binary transgenic system, in which Notch is blocked by the expression of a dominant-negative form of mastermind-like 1 (dnMAML-GFP) under the control of the VE-cadherin promoter. Lewis lung carcinoma (LLC) cells overexpressing VEGFA (LLC-VEGFA) were implanted subcutaneously in the dorsa of double transgenic (Tg) or control mice. Tumors in the double Tg mice were significantly smaller than in control single Tg mice. Moreover, blood vessel perfusion from LLC-VEGFA tumors was significantly reduced in the double Tg mice compared to the control Tg mice. However, neither the abundance nor the branching architecture of LLC-VEGFA tumor blood vessels appeared to be different in the double Tg mice. Pericyte abundance, maturation and distribution relative to blood vessels did not change in the double Tg mice. Flow cytometry of tumor-derived cells and fluorescence microscopy analysis of tumor cryosections confirmed that dnMAML-GFP is expressed specifically in endothelial cells. Our data suggest that specific blockade of Notch in endothelial cells, induced by dnMAML-GFP, affects tumor growth through a mechanism different from previously-reported Dll4 inhibition studies. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3476. doi:10.1158/1538-7445.AM2011-3476

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0040.001

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 head0.070
GPT teacher head0.349
Teacher spread0.279 · 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
Published2011
Admission routes1
Has abstractyes

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