Improvement of radiation efficacy for brain cancer F98 glioma by adding concomitant platinum compounds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Free platinum formulation: cisplatin, carboplatin and oxaliplatin as well as their liposomal formulation (Lipoplatin for cisplatin and Lipoxal for oxaliplatin) are largely used as cytotoxic agents in the treatment of many tumor types. However, free platinum formulation are known to cause sever adverse reactions. In treatment against glioblastoma multiform, the development of an aggressive but selective therapy is needed. In this project, we tested different platinum compounds to identify which one shows the best synergy with radiation. Material and methods: The cytotoxicity of platinum compounds against F98 glioma cell line was assessed by colony formation assay. Cell uptake for the same cell line and platinum was measured by Induced coupled plasma mass spectrometer. After four hours exposure to platinum, cells were irradiated (1.5 to 6.6 Gy) with a 60Co source. Results: The relative cytotoxcicity induced by the five platinum formulations was oxaliplatin > Lipoxal > cisplatin > Lipoplatin > carboplatin. On the other hand, when F98 cell line incubated with platinum were irradiated, the combination index calculated and the relative potency were Lipoplatin > carboplatin > oxaliplatin > Lipoxal > cisplatin. Conclusions: In the present work, Lipoplatin shows the best cytotoxic combination with radiation to treat F98 cell line in vitro.
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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 it