Bioavailability and therapeutic efficacy of HER2 scFv-targeted liposomal doxorubicin in a murine model of HER2-overexpressing breast cancer
Bibliographic record
Abstract
Drugs that are entrapped in the interior of nanocarriers such as liposomes have no therapeutic activity, i.e. they are not bioavailable. In order to achieve therapeutic activity, drug release from the liposomes must occur at a rate sufficient to achieve therapeutic concentrations of drug at the cellular target. For ligand-targeted liposomes, directed against internalizing antigens, receptor-mediated internalization of the liposome package occurs and the entrapped drugs become active (bioavailable) upon their intracellular release from the lysosomal apparatus. We have examined, in a murine breast cancer model, the rate and the extent of bioavailability of doxorubicin (DXR) entrapped in liposomes targeted by a single-chain antibody fragment against the HER2/neu antigen, in comparison with free DXR and non-targeted liposomal DXR (DOXIL). Breast cancer tumors contained the highest total levels of DXR and the highest levels of bioavailable DXR when anti-HER2/neu-targeted liposomes were used, and the targeted liposomes also resulted in the greatest level of tumor control.
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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".