Increased radiosensitivity of colorectal tumors with intra-tumoral injection of low dose of gold nanoparticles
Bibliographic record
Abstract
Abstract: The potential of gold nanoparticles (GNPs) as radiosensitizers for the treatment of malignant tumors has been limited by the large quantities of GNPs that must be administered and the requirement for low-energy X-ray irradiation to optimize radiosensitization. In this study, we enhance the radiosensitivity of HCT116 human colorectal cells with tiopronin-coated GNPs (Tio-GNPs) combined with a low-energy X-ray (26 keV effective energy) source, similar to the Papillon 50 clinical irradiator used for topical irradiation of rectal tumors. Sensitizer enhancement ratios of 1.48 and 1.69 were measured in vitro, when the HCT116 cells were incubated with 0.1 mg/mL and 0.25 mg/mL of Tio-GNPs, respectively. In nude mice bearing the HCT116 tumor, intra-tumoral (IT) injection of Tio-GNPs allowed a 94 times higher quantity of Tio-GNPs to accumulate than was possible by intravenous injection and facilitated a significant tumor response. The time following irradiation, for tumors growing to four times their initial tumor volume (4Td) was 54 days for the IT injection of 366.3 µg of Tio-GNPs plus 10 Gy, compared to 37 days with radiation alone ( P =0.0018). Conversely, no significant improvement was obtained when GNPs were injected intravenously before tumor irradiation ( P =0.6547). In conclusion, IT injection of Tio-GNPs combined with low-energy X-rays can significantly reduce the growth of colorectal tumors. Keywords: gold nanoparticles, colorectal cancer, mice, X-ray, radiation enhancement Corrigendum for this paper has been published
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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) | 0.001 | 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".