New therapeutic possibilities of combined treatment of radiotherapy with oxaliplatin and its liposomal formulation, Lipoxal™, in rectal cancer using xenograft in nude mice.
Bibliographic record
Abstract
AIM: To determine the benefits of irradiation at the time of maximum linking of oxaliplatin to the DNA of tumor cells, and evaluate the potential of its liposomal formulation, Lipoxal™, for chemoradiation therapy. MATERIALS AND METHODS: Nude mice implanted with human colorectal carcinoma HCT116 cells were injected with oxaliplatin or Lipoxal™. The amount of platinum in tumor, tumoral DNA, normal tissues and blood was measured 4, 24, 48, 72 and 96 h later by inductively coupled plasma mass spectrometry. The effect of concomitant radiotherapy was assessed as tumor growth delay resulting from irradiation 4, 24 and 48 h after drug administration. RESULTS: While the amount of platinum in the tumor reached a peak at 4 h after injection and declined over time, the concentration of oxaliplatin-DNA adducts reached two maxima observed at 4 h and 48 h after drug administration, a behavior not observed with Lipoxal™. The greatest combined effect was obtained when radiation was given at 48 h after drug injection, resulting in an increase of tumor growth delay by factors of 3.71 and 3.33 for treatments with oxaliplatin and Lipoxal™, respectively. CONCLUSION: Our results confirm the importance of irradiating a tumor when the concentration of oxaliplatin bound to tumor DNA is maximal. This finding should have a significant impact on the design of more efficient chemoradiation treatment protocols and should be further explored in clinical studies.
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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".