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Record W2094951222 · doi:10.1158/1538-7445.am2012-4377

Abstract 4377: Metronomic oral prodrug of gemcitabine (LY2334737) causes antitumor effects with concomitant increase in intratumoral blood flow

2012· article· en· W2094951222 on OpenAlexaff
Giulio Francia, Yuval Shaked, Kae Hashimoto, John Sun, Ping Xu, Shan Man, Christina Hackl, Julie Stewart, Anne H. Dantzig, Mark Uhlik, F. Stuart Foster, Robert S. Kerbel

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGemcitabineProdrugCyclophosphamideChemotherapyPharmacologyPaclitaxelConcomitantOvarian cancerCancerDoxorubicinInternal medicineBone marrowCombination therapy

Abstract

fetched live from OpenAlex

Abstract Metronomic chemotherapy is the regular administration of chemotherapy drugs at relatively low minimally toxic doses without prolonged break periods; it is currently undergoing phase III trial evaluation. Metronomic chemotherapy is thought to cause anti-tumor effects primarily by antiangiogenic mechanisms, both locally by targeting endothelial cells of the tumor neovasculature and systemically by effects on bone marrow derived cells, including circulating endothelial progenitor cells (CEPs). Previous studies have shown reduction of CEPs by metronomic administration of a number of different chemotherapeutic drugs, including cyclophosphamide, paclitaxel, topotecan, and tegafur plus uracil. Here we report results evaluating the properties of metronomic administration of an oral prodrug of gemcitabine LY2334737 (LY) in non tumor-bearing mice, and in preclinical models of human ovarian (SKOV3-13) and breast cancer (LM2-4) xenografts. Through daily gavage (at 6mg/kg/day) the schedules tested were devoid of toxicity and caused anti-tumor effects; however, a suppressive effect on CEPs was not detected. Human SKOV3-13 ovarian cancer cells were grown as ascites in SCID mice; LY monotherapy (6mg/kg/day), as well as LY in combination with metronomic cyclophosphamide (CTX, 20mg/kg/day), caused a significant increase in survival (n=5 mice per group, p<0.05) compared to controls. Human LM2-4 breast cancer cells, implanted orthotopically into SCID mice, were growth inhibited by LY monotherapy (at 6mg/kg/day as well as at 8mg/kg/day; n=5 mice per group, p<0.05). LM2-4 tumors were also growth inhibited by the combination of LY (6mg/kg/day) plus a bolus of CTX (100mg/kg, single dose) followed immediately by a maintenance regimen of metronomic CTX (20mg/kg/day); this combination did not produce any overt toxicity. Unexpectedly metronomic LY administration caused increased intratumoral blood flow, as measured by ultrasound after 1 week and after 4 weeks of continuous treatment, in luciferase-tagged LM2-4 tumor xenografts; and the increase in blood flow coincided with a relative increase in tumor bioluminescence. Paraffin embedded LM2-4 tumor sections from the therapy experiments were further analyzed by Angiogenesis and by Tumor Health Panel analyses; LY monotherapy did not caused any significant changes in tumor hypoxia, or in intratumoral vessel density, compared to controls. These results highlight the possibility of significant anti-tumor effects mediated by metronomic administration of some chemotherapy drugs without a concomitant inhibition of systemic angiogenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4377. doi:1538-7445.AM2012-4377

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.029
GPT teacher head0.343
Teacher spread0.314 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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