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Record W4232401843 · doi:10.1158/1535-7163.targ-09-a9

Abstract A9: Potent preclinical impact of metronomic low-dose oral topotecan combined with the antiangiogenic drug pazopanib for the treatment of ovarian cancer

2009· article· en· W4232401843 on OpenAlexaff
Kae Hashimoto, Shan Man, Ping Xu, William Cruz‐Muñoz, Terence Tang, Anthony J. Mutsaers, Rakesh Kumar, Robert S. Kerbel

Bibliographic record

VenueMolecular Cancer Therapeutics · 2009
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsPazopanibTopotecanOvarian cancerMedicinePharmacologyPaclitaxelChemotherapyOvarian carcinomaCancerBevacizumabOncologyCancer researchInternal medicineSunitinib

Abstract

fetched live from OpenAlex

Abstract Low dose metronomic (LDM) chemotherapy has shown promising activity in many preclinical as well as some phase II clinical studies involving various tumor types. It involves chronic but close, regular administration of chemotherapeutic drugs without prolonged breaks. Combination of LDM chemotherapy with targeted biologic agents such as antiangiogenic drugs can sometimes induce striking anti-tumor effects in preclinical models, with minimal toxicity. The most encouraging clinical results thus far involve patients with metastatic breast cancer and recurrent metastatic ovarian cancer. Regarding the ovarian cancer trials, all have involved daily low-dose oral cyclophosphamide using a fixed dose of 50mg, combined with bevacizumab. However, there may be much more effective chemotherapy drugs for LDM chemotherapy-based treatments of ovarian cancer. Here we evaluated the impact of optimal biologic doses (OBDs) of LDM oral topotecan, a topo-isomerase-1 inhibitor already approved for refractory ovarian cancer, in combination with oral pazopanib, a receptor tyrosine kinase inhibitor which targets VEGF and PDGF receptors. Clones of the SKOV-3 human ovarian carcinoma cell line expressing secretable β-subunit of human choriogonadotropic (β-hCG) protein and firefly luciferase were generated, and evaluated for growth after orthotopic (intraperitoneal) injection into immune deficient SCID mice, and a highly aggressive clone, SKOV-3-13, was selected for further study. Treatments were initiated 14 days after injection of 3×106 cells when evidence of carcinomatosis-like disease in the peritoneum was established as assessed by imaging analysis. The drug concentrations were 1mg/kg for oral topotecan by daily gavage, 150mg/kg pazopanib daily gavage or 25mg/kg twice/day, and combinations of oral topotecan+pazopanib. These doses were based on suppressive effects on circulating endothelial progenitor cells, a method we have used previously to determine the OBD for other LDM chemotherapy regimens. Metronomic oral topotecan showed excellent anti-tumor activity, the extent of which was significantly enhanced by concurrent pazopanib, which itself had modest activity. The median survival value of mice in the control group was 34 days after start of treatment compared with 73 days for MTD topotecan, 41 days for 25mg/kg pazopanib, 41 days for 150mg/kg pazopanib, 90 days for oral topotecan, whereas all of the mice in the two oral topotecan/pazopanib combination treatment groups were still alive 150 days after initiation of treatment. Overt toxic side effect was not observed throughout the treatment period. Metronomic topotecan in combination with an antiangiogenic VEGF-pathway targeting drug, such as pazopanib should be considered for evaluation in clinical trials involving patients with advanced, recurrent epithelial ovarian cancer. Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A9.

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 score0.002
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.350
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
Published2009
Admission routes1
Has abstractyes

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