Impact of sustained versus intermittent chemotherapy on rate of tumor repopulation in a xenograft model of human ovarian cancer
Bibliographic record
Abstract
A3 Purpose: Fractionated radiotherapy has been shown to cause increased rates of tumor repopulation, thereby limiting efficacy. As even longer intervals between cycles of chemotherapy exist, increasing rates of tumor repopulation likely negatively impact clinical outcomes. Thus sustained chemotherapy regimens may improve clinical response. We therefore investigated the impact of sustained versus intermittent administration of paclitaxel (PTX) on the in vitro and in vivo repopulation of ovarian tumor cells. Methods: The total number of proliferating and clonogenic cells was followed over 3 weeks in vitro in SKOV3 cells after equivalent exposure to intermittent and sustained levels of PTX. In vivo , tumor repopulation rates were investigated in a murine intraperitoneal (IP) xenograft model of ovarian cancer throughout a 3 week treatment course. Tumor bearing mice (n=20/group) received PTX (60 mg/kg total dose) either as intermittent treatment (20 mg/kg weekly IP bolus doses) or sustained treatment (Alzet pumps implanted IP which provided sustained delivery of 20 mg/kg/week PTX). Treatment groups were also compared to non-treated controls (n=20). Tumour proliferation and apoptosis was evaluated at different intervals during the course of treatment using 5-bromo-2’-deoxyuridine (BrdU) uptake, TUNEL and Caspase3 immunoassays. Results: In vitro results demonstrated a significant difference in the surviving fraction and number of colony forming SKOV3 cells between PTX treatment groups (ANOVA, p in vivo tumour BrdU uptake was significantly different between the treatment groups (ANOVA, p Conclusions: Intermittent administration of PTX resulted in an increase in both in vitro and in vivo tumor repopulation rates. On the other hand, sustained delivery decreased tumor survival and repopulation. By attenuating tumor repopulation, sustained administration of PTX may increase chemoresponsiveness and clinical response in ovarian cancer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".