Development of a reactive oxygen species (ROS)-responsive nanoplatform for targeted oral cancer therapy
Bibliographic record
Abstract
In this study, for effective oral cancer therapy, a new targeted and ROS-triggered drug delivery nanoplatform was developed from the RGD-PEG-TK-PLGA polymer, in which the ROS-responsive TK containing linker was connected with PEG and PLGA. RGD in the drug delivery system (DDS) presented here was used to target cancer cells. This new nanoplatform shows high stability, good targeting ability, excellent ROS sensitivity and excellent biocompatibility. Loaded with DOX and alpha-TOS, the formulated nanoparticles (NPs) demonstrate much better cellular uptake efficiency and higher inhibition performance towards the oral tongue Cal27 cancer cell line. In vivo anticancer evaluation indicates that DOX and alpha-TOS loaded RGD-PEG-TK-PLGA NPs have no toxicity to mice and showed significantly improved therapeutic efficacy against tumors. Therefore, this polymeric NP platform presents great potential as a new DDS for oral cancer chemotherapy.
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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) | 0.001 | 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".