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Record W1500797520 · doi:10.1002/0471141755.ph1419s53

Orthotopic Xenograft Model of Cervical Cancer for Studying Microenvironmental Effects on Metastasis Formation and Response to Drug Treatment

2011· article· en· W1500797520 on OpenAlexafffund
Naz Chaudary, David W. Hedley, Rićhard P. Hill

Bibliographic record

VenueCurrent Protocols in Pharmacology · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsPrincess Margaret Cancer CentreOntario Institute for Cancer Research
FundersCanadian Institutes of Health ResearchTerry Fox FoundationOntario Ministry of Health and Long-Term Care
KeywordsLymphatic systemCancer researchMetastasisLymphMedicineLymphangiogenesisLymph nodeCancerCervixPathologyInternal medicine

Abstract

fetched live from OpenAlex

Cancers arising in the uterine cervix are usually squamous cell carcinomas that develop from preneoplastic lesions. They invade locally, and then typically metastasize to the regional lymph nodes and eventually to distant sites. Orthotopically grown xenografts are technically challenging to perform, but recapitulate the clinical situation to a greater extent than xenografts grown at subcutaneous or intramuscular sites. Thus, orthotopic xenografts develop lymphovascular invasion and metastasize to the para-aortic lymphatic chain in a pattern similar to that seen in patients. The extent of (lymph node) metastases is particularly apparent when the implanted tumor cells are transfected to express a fluorescent marker, such as DsRed, which allows the exposed retroperitoneum to be examined by fluorescence microscopy. Described in this unit is a surgical technique for orthotopic implantation and the use of this model for investigating the effects of novel agents as inhibitors of tumor growth and metastasis.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.139
GPT teacher head0.421
Teacher spread0.282 · 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

Citations16
Published2011
Admission routes2
Has abstractyes

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