Interest of liposomal doxorubicin as a radiosensitizer in malignant glioma xenografts
Bibliographic record
Abstract
Malignant glioma patients have a life expectancy reduced to about 15 months despite aggressive surgery, radiotherapy (RT), and chemotherapy. Doxorubicin has shown a marked cytotoxic effect against malignant glioma cells in vitro. The brain exposure to this drug is, however, hindered by the blood-brain barrier. Encapsulation of doxorubicin in liposomal carriers has been shown to reduce toxicities and to improve brain tumors exposure to doxorubicin. In this study, we evaluated the radiosensitizing properties of a nonpegylated liposomal doxorubicin (Myocet, MYO) on two subcutaneous (U87 and TCG4) and one intracranial (U87) malignant glioma models xenografted on nude mice. Doxorubicin biodistribution was assessed by a high-performance liquid chromatography method. Antitumor efficacy was investigated by tumor volume measurements and mice survival determination. We showed that (i) encapsulation of doxorubicin ensured a preferential deposition of doxorubicin in tumoral tissue in comparison with free doxorubicin; (ii) doxorubicin accumulated in both subcutaneous and intracranial tumors during repeated injections of MYO and this accumulation was linked to the potentiation of RT efficacy on two subcutaneous models; (iii) MYO was unable to improve the antitumoral efficacy of RT on an intracranial glioma model. Finally, this study emphasizes the importance of performing preclinical studies on models closer as possible of human tumors and localization to be more predictive of therapeutic effects observed in humans.
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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) | 0.001 | 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".