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Human Leukemia Xenotransplantation Into Zebrafish Embryos as An In Vivo Assay for Chemotherapy Drug Response

2010· article· en· W2583518335 on OpenAlexaff
Dale Corkery, Graham Dellaire, Jason N. Berman

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsZebrafishBiologyCancer researchLeukemiaIn vivoCancerXenotransplantationCancer cellCell cultureImmunologyTransplantationMedicineGeneticsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 1704 A major challenge in the treatment of human cancer is the variable response to therapy between patients. Any host or tumor-derived factors that produce variations in drug concentration, duration of exposure, or sensitivity of tumour cell populations to drug, may contribute to heterogeneity in the tumour response. The identification and characterization of specific drug-tumor interactions would enable the design of more personalized and targeted treatment with improved outcomes and reduced toxicity. To date, human cancer cell lines and murine models have provided some advances, however these approaches have been hindered by technical limitations, considerable expense and a lack of timely information to directly impact on a given therapeutic window. The zebrafish has emerged as a robust animal model of human malignancy due to conserved genetics and cell biology. In addition, their transparency provides exceptional opportunities for in vivo imaging, such as the unique ability to directly visualize the response of cancer cells to drugs in real time. Using zebrafish as a host organism, we have been developing a quantitative cell proliferation assay to monitor the response of human leukemia cells to anti-cancer agents in an environment that more closely recapitulates the human tumor microenvironment. As proof of principle, we have injected boluses of 50 fluorescently-labeled cells from the human K562 chronic myeloid leukemia cell (CML) line into the yolk sac of 48 hour old casper embryos, a combinatorial zebrafish mutant lacking both melanocytes and iridophores, thus enabling facile cell tracking and imaging. Injected embryos tolerate the presence of human leukemia cells for up to 7 days, during which time the engrafted leukemia cells proliferate and circulate within the embryonic bloodstream. Proliferation of the leukemia cells can be monitored by live-cell microscopy of engrafted embryos and quantified by their dissociation to a single cell suspension at 24 and 72 hours post-injection. Specifically, 20 embryos are dissociated at each time point and the number of leukemia cells is determined from fluorescent micrographs using a semi-automated cell quantification macro executed in ImageJ (NIH). Using this proliferation assay, we observed a reproducible increase in leukemia cell numbers within the embryo of approximately 5-fold after 48 hours. Furthermore, the proliferation of K562 cells in xenotransplanted zebrafish embryos could be significantly inhibited (by 45 ± 3% relative to untreated; p<0.001) following a 48 hour treatment with 20 μM of imatinib mesylate (Gleevec), a drug that targets the characteristic CML BCR-ABL translocation gene product harboured by these cells. In contrast, treatment with a second agent, all trans-retinoic acid (ATRA) that targets the PML-RARA fusion protein found in acute promyelocytic leukemia (APL), had no impact on proliferation. These results validate the use of zebrafish xenotransplantation in studying the response of human leukemia cells to anti-cancer agents and position this model as a unique in vivo tool to determine the sensitivity of primary patient tumor samples to current and novel chemotherapeutics. Disclosures: No relevant conflicts of interest to declare.

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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.302
Teacher spread0.294 · 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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