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Record W2002620072 · doi:10.2174/138945009789577954

Recent Advances in Targeted Anti-Vasculature Therapy: The Neuroblastoma Model

2009· review· en· W2002620072 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Drug Targets · 2009
Typereview
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsUniversity of Alberta
FundersFondazione Italiana per la Ricerca sul CancroAssociazione Italiana per la Ricerca sul CancroAssociazione Italiana per la Lotta al Neuroblastoma
KeywordsNeuroblastomaAngiogenesisMedicineCancer researchIn vivoAdjuvantTargeted therapyCancerNeovascularizationOncologyBiologyInternal medicineCell culture

Abstract

fetched live from OpenAlex

Novel anti-vasculature strategies that are emerging for the treatment of cancer and for the inhibition of angiogenesis may be a promising new tool for the adjuvant therapy of malignant tumours. Over the last fifteen years, several reports have been published concerning the relationship between tumour progression and angiogenesis in experimental models of neuroblastoma in vitro and in vivo. Moreover, a high vascular index in neuroblastoma correlates with poor prognosis, suggesting dependence of aggressive tumour growth on active angiogenesis. Here, we present an overview of the most recent advances in anti-vasculature therapy of neuroblastoma, and describe some preclinical results as well as future perspectives.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.053
GPT teacher head0.377
Teacher spread0.324 · 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