Antitumor effects of combining metronomic chemotherapy with the antivascular action of ultrasound stimulated microbubbles
Bibliographic record
Abstract
Considerable effort is being directed toward investigating the use of ultrasound (US) stimulated microbubbles (MB) to promote the uptake of anticancer agents in tumors. In this study we propose and investigate a new method for combining therapeutic ultrasound with anticancer agents, which is to induce antivascular effects and combine these with an antiangiogenic treatment strategy, in this case metronomic chemotherapy. This is effectively a vascular targeting rather than a drug delivery approach. Experiments were conducted on MDA-MB-231 breast cancer tumors implanted in athymic mice. Metronomic cyclophosphamide (MCTX) was employed as an antiangiogenic therapy and was administered through the drinking water. Ultrasound stimulated microbubble treatments (USMB) were conducted at 1 MHz employing short bursts (0.00024 duty cycle) at 1.6 MPa in combination with the commercial microbubble agent Definity. USMB treatments were performed on a weekly basis for 4 weeks and MCTX was administered for 10 weeks. The USMB induced an acute reduction of blood flow as confirmed with US contrast imaging and DiOC7 perfusion staining. Longitudinal experiments demonstrated that significant growth inhibition occurred in MCTX-only and USMB-only treatment groups relative to control tumors. The combined USMB and MCTX treatment group showed significant growth inhibition and survival prolongation relative to the USMB-only (p < 0.01) and MCTX-only treatment groups (p < 0.01). These results indicate the feasibility of a new approach to combining therapeutic ultrasound with an anticancer agent.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".