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Record W2074470232 · doi:10.1182/blood-2005-04-1422

Optimal biologic dose of metronomic chemotherapy regimens is associated with maximum antiangiogenic activity

2005· article· en· W2074470232 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

VenueBlood · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsSunnybrook Health Science Centre
FundersNational Cancer Institute
KeywordsMedicineChemotherapyPharmacologyOncologyToxicityPharmacodynamicsInternal medicinePharmacokinetics

Abstract

fetched live from OpenAlex

Low-dose metronomic chemotherapy is a promising therapeutic cancer treatment strategy thought to have an antiangiogenic basis. However, the advantages of reduced toxicity, increased efficacy in some cases, and ability to combine chemotherapy administered long term in this way with targeted therapies can be compromised by the empiricism associated with determining the optimum biologic dose (OBD). Using 4 distinct metronomic chemotherapy regimens in 4 different preclinical tumor models, including a hematologic malignancy, we established the OBD by determining the maximum efficacy associated with minimum or no toxicity. We then found each OBD to be strikingly correlated with the maximum reduction in viable peripheral blood circulating vascular endothelial growth factor receptor 2-positive (VEGFR-2+) endothelial precursors (CEPs). These results suggest that CEPs may serve as a pharmacodynamic biomarker to determine the OBD of metronomic chemotherapy regimens.

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 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 score0.006
Threshold uncertainty score0.515

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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