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Record W2334770269 · doi:10.1158/1538-7445.am2011-3475

Abstract 3475: Tumor stage dependent contribution of bone marrow derived cells to tumor neo-vascularization

2011· article· en· W2334770269 on OpenAlexaff
Kelly Burrell, Shahrzad Jalali, Soroush Larjani, Richard Hill, Gelareh Zadeh

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsCentre for Social InnovationUniversity of Toronto
Fundersnot available
KeywordsPathologyBone marrowIn vivoNeovascularizationCancer researchMedicineAngiogenesisGliomaImmunohistochemistryBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: The role of bone marrow derived cells (BMDC) in tumor neo-vascularization remains controversial. We have previously demonstrated that BMDC contribute to tumor neovascularization by differentiating into vascular support cells and not endothelial cell. In this study we focus on establishing the spatiotemporal role of BMDC in tumor neovascularisation, focusing on whether it is a tumor growth stage dependent process and more specifically examining the patterns of BMDC integration into tumor vasculature in response to radiation therapy (RTx). Methods: Animal Models: Bone marrow of NOD/SCID mice were stably reconstituted with BM harvested from green-fluorescent protein (GFP) transgenic mice. Intracranial (ic) xenografts were generated in intracranial window models (ICW) using a panel of glioma cell and breast cancer cells stably expressing mCherry. In-vivo imaging: Two-photon laser capture microscopy was used to obtain high-resolution real-time in-vivo longitudinal images of the tumor cells, tumor vasculature and tracing of the circulating GFP+BM cells. Mice were imaged 1d,2d,3d,7d,10d,14d,21d & 30d following cell implantation or RTx. Brain Tumor Analysis: Mice were sacrificed using perfusion fixation and brains collected for correlative immunohistochemical and Immunofluorscent confocal analysis. RTx: Using in-house designed x-ray micro-irradiator stereotactic radiation was delivered through ICW to ic-xenografts, treated with either 3×2Gy or 3×5Gy. Tumor+RTx was compared to RTx alone or tumor alone (n=15 each arm). Results: At early stages of tumor formation (<1wk) there is 90% integration of BMDC into the tumor vasculature, while to late stages of tumor growth (>2 wks) only 10% integration of BMDC is seen. At later stages of tumor growth (>2 wks) BMDC incorporation in the tumor vasculature is predominantly seen in the tumor periphery compared to the tumor centre, with the peripheral vessels demonstrating almost 100% integration of BMDC compared to the centre of the tumor where the vasculature have no integration of BMDC. Conclusions: Our results are the first to demonstrate that there is a specific tumor growth stage dependent contribution of BMDC to tumor neo-vascularization. At early stages of tumor growth neo-ascularization relies on host BMDC, while at later stages of tumor growth vascularization relies on branching of pre-existing vessels. A significant difference in extent of BMDC integration is noted between periphery versus the centre of the tumor, suggesting that the internal tumor micro-environment regulates neoascularization differently from the periphery. Intriguingly, this distinction is not seen with tumor neovascularization in recurrent tumors following RTx. These results have significant therapeutic implications and point to a need for scheduling of anti-angiogenic therapies according to tumor growth stage and timing post RTx. 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 3475. doi:10.1158/1538-7445.AM2011-3475

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 score0.014

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 integrity0.0000.000
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 head0.037
GPT teacher head0.323
Teacher spread0.286 · 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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