Novel Delivery of Sorafenib by Natural Killer Cell-Derived Exosomes-Enhanced Apoptosis in Triple-Negative Breast Cancer
Bibliographic record
Abstract
Aim: We investigated the delivery of sorafenib (SFB) to breast cancer spheroids by natural killer cell-derived exosomes (NK-Exos). Methods: SFB-NK-Exos were constructed by electroporation. Their antitumor effects were evaluated by methyl thiazolyl tetrazolium, acridine orange/ethidium bromide, 4′,6-diamidino-2-phenylindole, annexin/propidium iodide, scratch and migration assay, colony formation, RT-PCR, western blot and lipophagy tests. Result: The loading efficacy was 46.66%. SFB-NK-Exos-treated spheroids showed higher cytotoxic effects (33%) and apoptotic population (44.9%). Despite the reduction of SFB concentration in the SFB-NK-Exos formulation, similar cytotoxic effects to those of free SFB were observed. Increased intracellular trafficking, sustained release of the drug and selective inhibitory effects demonstrated efficient navigation. Conclusion: This is the first report for SFB loading into NK-Exos, which led to significant cytotoxic intensification against cancer cells.
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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 | 0.000 |
| 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 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".