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Record W2043054600 · doi:10.1517/14712598.8.7.941

Regulation of collagen-derived antiangiogenic factors by p53

2008· review· en· W2043054600 on OpenAlexaff
Sarah Assadian, Jose G. Teodoro

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsEndostatinAngiogenesisCancer researchEndogenyLimitingBiologySuppressorCancerAntiangiogenic therapyGeneticsEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Evidence suggests that the p53 tumor suppressor protein functions, in part, by limiting tumor angiogenesis. This effect is partly mediated by the ability of p53 to increase production of endogenous angiogenesis inhibitors, such as the collagen-derived antiangiogenic factors (CDAFs), endostatin and tumstatin. OBJECTIVE: To review the clinical and therapeutic implications of CDAFs and their regulation by p53. METHODS: We highlight the inhibitory role of CDAFs in angiogenesis and summarize evidence that p53 regulates the transcriptional program leading to their expression, synthesis, assembly and activation. RESULTS/CONCLUSION: The p53 gene is mutated in half of all human tumors and such cancers would be predicted to produce lower levels of CDAFs. We therefore believe that p53 function can be partially compensated by therapeutic use of CDAFs, which offers a promising new avenue for cancer treatment.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.112
GPT teacher head0.367
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations12
Published2008
Admission routes1
Has abstractyes

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