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Record W1973538336 · doi:10.1158/1538-7445.am2011-968

Abstract 968: Invadopodia formation and microparticle release are required for cancer cell extravasation in vivo

2011· article· en· W1973538336 on OpenAlexaff
Hon S. Leong, Amy Robertson, Amber A. Ablack, Eva A. Turley, Ann F. Chambers, John D. Lewis

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsExtravasationInvadopodiaCancer cellCancerIn vivoMedicineBosutinibIntravasationProto-oncogene tyrosine-protein kinase SrcEndotheliumCancer researchPathologyInternal medicineBiologyDasatinibReceptor

Abstract

fetched live from OpenAlex

Abstract During the metastatic process, cancer cells must undergo trans-endothelial migration from the vessel lumen into underlying tissue in a process known as extravasation. Little is known about the dynamic mechanical aspects of this process. To address this, we performed real-time, sub-cellular resolution intravital imaging of human cancer cells during arrest, intravascular migration and extravasation using a shell-less avian embryo xenograft model. We find that extravasation occurs at endothelial junctions and that the majority of extravasation events occurred during the 12 hours subsequent to the intravenous injection of cancer cells. In the majority of extravasation events, long cytoplasmic extensions identified as invadopodia were observed prior to extravasation which breached underlying endothelium. We observed the release of microparticles during these invadopodial extension events prior to extravasation, and this resulted in a ∼40% reduction in cell volume post-extravasation. Based on this, we hypothesized that invadopodia are required for extravasation, and that cancer cell extravasation could be abrogated by inhibiting factors required for invadopodia function. We found that treatment with Src kinase inhibitors significantly reduced invadopodia formation in vivo and resulted in a ∼60% decrease in extravasation events when compared to vehicle treated controls. Furthermore, a higher proportion of cells in the Src kinase inhibitor-treated animals remained intravascular compared to vehicle control. In conclusion, we determined that 1) extravasation occurs at junctions between adjacent endothelial cells, 2) cancer cells form invadopodia that breach the endothelial layer prior to successful extravasation and 3) cancer cells undergoing extravasation release cancer microparticles into both the vessel lumen and tissue interstitium with a corresponding decrease in cell volume. Pharmacological inhibition of invadopodia by Src kinase inhibitors (Bosutinib, Dasatinib) reduces cancer cell extravasation, revealing a novel and potentially important mechanism of action against metastatic cancers. 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 968. doi:10.1158/1538-7445.AM2011-968

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 head0.105
GPT teacher head0.361
Teacher spread0.256 · 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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