Curcumin-Loaded Nanoscale Metal–Organic Frameworks for Therapeutic Applications in Cancer
Bibliographic record
Abstract
Curcumin is a naturally occurring polyphenol that has gained attention in cancer research due to its anti-inflammatory, antioxidant, and anticancer properties. However, its clinical use is limited due to poor water solubility, rapid degradation, and low bioavailability, which reduce its therapeutic effectiveness. To overcome these issues, curcumin has been combined with other agents, including chemotherapeutic drugs, photothermal materials, and metal-based compounds, to improve stability and antitumor activity. Biocompatible drug-delivery systems that allow controlled or sustained release are particularly valuable in oncology, as they can minimize side effects and improve treatment efficiency. Among these carriers, metal-organic frameworks (MOFs) have emerged as promising platforms due to their porous structure, tunable chemistry, and high loading capacity. This review focuses on the potential of MOFs as nanocarriers for curcumin, emphasizing their ability to enhance stability, increase bioavailability, improve therapeutic outcomes, and deliver the drug selectively to tumor sites.
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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 | 0.000 | 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 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".