MétaCan
Menu
Back to cohort
Record W2091287667 · doi:10.1158/1538-7445.am2012-1398

Abstract 1398: Using zebrafish xenotransplantation to study the role of Y-Box binding protein (YB-1) in the metastasis of Ewing family tumors

2012· article· en· W2091287667 on OpenAlexaff
Chansey J. Veinotte, Dale Corkery, Graham Dellaire, Amal M. El-Naggar, Kirk D. Sinclair, Mark L. Bernstein, Poul Sorensen, Jason N. Berman

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsUniversity of British ColumbiaIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsXenotransplantationZebrafishEx vivoCancerMetastasisSarcomaCancer researchLeukemiaMedicineIn vivoPathologyEwing's sarcomaCancer cellBiologyImmunologyTransplantationInternal medicine

Abstract

fetched live from OpenAlex

Abstract Sarcomas are malignant cancers of soft tissue or bone predominantly affecting children and adolescents. The most common subtypes are osteosarcoma and Ewing family tumours (EFTs). The most unfavorable prognostic factor is the presence of metastases, which accounts for 9 out of 10 sarcoma cancer deaths. Identifying factors and/or drugs that have an impact on metastatic spread have tremendous potential to affect outcome by reducing disease burden to the primary site, which can be more effectively treated by surgery and radiation. Pertinent animal models are critical for translating in vitro findings to clinical trials. Xenotransplantation of human cancer cells into transparent zebrafish embryos provides a novel in vivo platform for visualizing tumor micro-environment interactions contributing to sarcoma proliferation and spread in real time, which is not easily provided by other animal models. We recently demonstrated the effectiveness of the zebrafish xenotransplantation model for the study of specific drug-tumor interactions for both chronic myelogenous leukemia and acute promyelocytic leukemia and used a rapid and novel ex-vivo proliferation assay to quantify therapeutic responses (Corkery et al, BJH 2011). We have now applied this technology to EFTs. Human EFT TC-32 cells were fluorescently labeled with CmDiI, and microinjected into the yolk sac of two day old casper embryos, a double pigment mutant that prevents any auto-fluorescence that might interfere with image quality. EFT cells successfully engrafted, survived and proliferated over 96 hours post-injection (hpi). Migration of cells from the yolk sac to the tail occurred between 48 and 144 hpi with evidence of vascular extravasation and tissue infiltration. Y-box binding protein 1 (YB-1) is implicated in the metastatic spread of epithelial cancers due to its key role in promoting an epithelial-to-mesenchymal transition (EMT). In contrast to parental TC-32 cells, xenografted YB-1 knockdown (KD) TC-32 cells showed absent or significantly delayed migration, suggesting that YB-1 also regulates this process in zebrafish xenografts. Moreover, using transgenic fli-EGFP casper embryos that display fluorescent vasculature, we saw evidence of vascular recruitment into the tumor mass in WT TC-32 cells but not in YB-1 KD, potentially implicating angiogenesis as a mechanism that contributes to tumor spread in YB-1 expressing sarcomas. Exposure of TC-32 xenografted embryos to 5-40 Gy of ionizing radiation effectively reduced cell proliferation in a dose-dependent manner. These studies highlight the utility of the zebrafish xenograft model to elucidate the mechanisms underlying the metastatic behavior of EFTs and position this system as an in vivo tool for drug discovery to identify novel anti-proliferative and anti-metastatic agents to improve outcome in this disease. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1398. doi:1538-7445.AM2012-1398

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.035
Threshold uncertainty score0.253

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.422
Teacher spread0.331 · 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 teacher head, 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

Citations5
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicZebrafish Biomedical Research ApplicationsFrench-language works237,207