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Record W1995328364 · doi:10.1517/14712590802666397

Aflibercept (AVE0005): an alternative strategy for inhibiting tumour angiogenesis by vascular endothelial growth factors

2009· review· en· W1995328364 on OpenAlexaff
Quincy S. Chu

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2009
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAfliberceptAngiogenesisCancer researchDecoyVascular endothelial growth factorTyrosine kinaseReceptor tyrosine kinaseMetastasisMedicineCancerVEGF receptorsReceptorInternal medicineBevacizumabChemotherapy

Abstract

fetched live from OpenAlex

BACKGROUND: Aberrant angiogenesis is a landmark feature in cancer, which is important for proliferation, growth and metastasis, and is mediated by various pro-angiogenic factors. The VEGF pathway is one of the most important and best-studied angiogenic pathways. Inhibition of this pathway may provide clinical benefits to cancer patients. OBJECTIVES: Strategies to inhibit the VEGF pathway, including antibodies to VEGF, antibodies to the extracellular domain of VEGFR-1 or VEGFR-2, decoy receptors for VEGF and tyrosine kinase inhibitors of VEGFRs, are summarized. METHODS: This review outlines and compares the latest development of these strategies, with emphasis on aflibercept, a novel decoy fusion protein of domain 2 of VEGFR-1 and domain 3 of VEGFR-2 with the Fc fragment of IgG1. RESULTS: Aflibercept was shown to have early clinical activity. Multiple studies are ongoing to determine the clinical benefits of aflibercept in cancer patients.

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 score0.008

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 communication0.0010.001
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 head0.128
GPT teacher head0.385
Teacher spread0.257 · 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

Citations106
Published2009
Admission routes1
Has abstractyes

Explore more

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