Radiosensitization by Docetaxel Prodrug-Loaded Lipid Nanoparticles in Pancreatic Cancer Xenografts
Bibliographic record
Abstract
Cancer treatments are limited by poor tumor specificity and toxicity. We tested a radiosensitizing approach using PEG/RGD-functionalized gold nanoparticles (GNPs), a lipid-nanoparticle–encapsulated docetaxel prodrug (LNPDTX–P), and external-beam radiotherapy (RT). In MIA PaCa-2 xenografts, intravenous GNPs (2 mg/kg) and LNPDTX–P (6 mg/kg) were given before 5 Gy RT. Both LNPDTX–P + RT and GNPs + LNPDTX–P + RT reduced tumor volume by ~40% and significantly prolonged survival versus RT alone (p < 0.001). Adding GNPs did not enhance efficacy, indicating LNPDTX–P was the main driver under this regimen. These results demonstrate nanocarrier-enabled radiosensitization in vivo and support further studies toward clinical translation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".