Iron Oxide Nanoparticles Functionalized with Macrocycle Antagonists for CXCR4 Receptor Targeting in Cancer Cells
Bibliographic record
Abstract
Iron oxide nanoparticles (IONPs) have shown great promise in targeted cancer therapy due to their unique magnetic properties and ability to be functionalized with various ligands. This study explores the use of iron oxide nanoparticles (IONPs) functionalized with macrocycle antagonists to target CXCR4 receptors on cancer cells. The synthesis of superparamagnetic iron oxide nanoparticles (SPIONs) was validated through XRD and TEM analyses, which showed uniform, roughly spherical particles. Fluorescence-loaded SPIONs provided enhanced imaging contrast in Jurkat cancer cells. Flow cytometry demonstrated that the nanoparticles effectively blocked CXCR4 receptors, highlighting their potential for targeted cancer therapy. These findings underscore the successful synthesis, characterization, and functionalization of SPIONs, paving the way for advanced nanomedicine strategies in cancer diagnostics and treatment.
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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 | 0.001 | 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 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".