Development and characterization of CD73-siRNA-loaded nanoemulsion: effect on C6 glioma cells and primary astrocytes
Bibliographic record
Abstract
Introduction: Glioblastoma (GB) is the most common malignant brain tumor and is characterized by high invasiveness, poor prognosis, and limited therapeutic options. Silencing gene expression, through the use of small interfering RNA (siRNA), has been proposed as an alternative to conventional cancer therapy. Here, we evaluated the potential of CD73 as a new therapeutic target, since it is overexpressed in solid tumors and has emerged as a promising target to control GB progression.Methods: A cationic nanoemulsion (NE) as an intravenous siRNA-CD73 delivery system was developed and its effect on C6 glioma cell viability was determined.Results: The nanostructured system was effective in complexing oligonucleotides for delivery to target cells. In addition, we observed that the NE-siRNA-CD73 complex was effective in reducing CD73 protein levels and AMPase activity, which were related to decreased C6 glioma cell viability.Conclusions: These findings indicate the potential of siRNA-CD73-loaded cationic NE as a therapeutic alternative for glioma treatment.
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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".