CORRELATIONS BETWEEN THE RATE OF INTRACELLULAR RELEASE OF ENDOCYTOSED LIPOSOMAL DOXORUBICIN AND CYTOTOXICITY AS DETERMINED BY A NEW ASSAY
Bibliographic record
Abstract
Previously, we showed that liposomes with surface-attached anti-CD19 were internalized into human B lymphoma cells through receptor-mediated endocytosis, resulting in improved anti-tumor efficacy 1-2 . In order to further increase the efficacy of antineoplastic drug-containing liposomes, we have taken advantage of this internalization process by producing triggered release liposomes that rapidly release drug from the enzyme-rich, acidic environment of lysosomes. To analyze the effectiveness of these triggered-release formulations, we developed a nuclear accumulation assay for doxorubicin (DXR) that allows us to determine the rate of cytoplasmic drug delivery subsequent to drug release from the endosomal/lysosomal compartments by examining the rate of accumulation of drug in cellular nuclei. We demonstrate the usefulness of this assay by comparing the kinetics of cytoplasmic drug delivery for DXR-containing, pH-sensitive, triggered release liposomes versus DXR-containing, non-sensitive, liposomal formulations. We see a significant correlation between the rate of nuclear accumulation of DXR and its in vitrocytotoxicity. This indicates that pH-sensitive formulations traffic drug to the cytoplasm and the nucleus significantly more rapidly than do non-sensitive formulations. We conclude that the development of triggered release liposomes is a promising strategy for further improving the therapeutic efficacy of liposomal antineoplastic drugs targeted selectively to cancer cells by surface-attached ligands that bind to internalizing epitopes.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".