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Record W2410054068 · doi:10.1385/1-59259-117-5:151

Neoplastic Transformation Assays

2003· article· en· W2410054068 on OpenAlexafffund
Leda Raptis, Adina Vultur

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of CanadaCancer Research Society
KeywordsPhenotypeTransformation (genetics)BiologyCell biologyOncogeneNeoplastic transformationMorphology (biology)CellCancer researchImmunologyGeneticsCancerCell cycleCarcinogenesisGene

Abstract

fetched live from OpenAlex

Although a tumor cell can be distinguished from its normal counterpart by a wide range of phenotypic alterations, only a few of these properties provide useful indicators of malignant transformation. These include changes in cellular morphology, decreased dependence on serum growth factors, loss of density-dependent growth inhibition, reduction of gap-junctional intercellular communication (GJIC), the ability to proliferate in the absence of anchorage to a solid support and the ability to form tumors when injected into the appropriate animal host. These components of the SV40-transformed phenotype, shared with phenotypes of cells transformed by many other oncogenes, constitute the basis for the majority of currently used assays. In certain systems, such as polyoma virus-transformed rat F111 cells, a hierarchy of transformation properties was observed, with morphological changes, focus formation, loss of GJIC, anchorage-independent growth, and tumorigenicity requiring progressively higher levels of oncogene expression (,), although this is not the case in all systems (,).

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.466

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 head0.042
GPT teacher head0.298
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 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

Citations14
Published2003
Admission routes2
Has abstractyes

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