Bystander effects in tumor-free and tumor-bearing rat brains following irradiation by synchrotron X-rays
Bibliographic record
Abstract
PURPOSE: Synchrotron microbeam radiation therapy (MRT) is a radiosurgery concept in the preclinical stage, developed mainly for brain tumor treatment. Experimental studies suggest that with MRT a better therapeutic index can be obtained than with homogenous field radiotherapy, but the underlying cellular mechanisms need further understanding. The aim of this study was to investigate the dynamics of radiation-induced bystander effects (RIBE) in rats after exposing one brain hemisphere to either MRT or homogenous synchrotron radiation (HSR). MATERIALS AND METHODS: Healthy and tumor-bearing Wistar rats were exposed to doses of 17.5, 35, 70 or 350 Gy, applied either as MRT or HSR to the right cerebral hemisphere. Rats were euthanized at 4, 8 and 12 hours after irradiation to assess the release of bystander signals. Brains and urinary bladders were dissected, and explants for bystander clonogenic reporter assays were set up. RESULTS: Clonogenic survival showed that RIBE occurred in both the non-irradiated brain hemisphere and in bladder of normal and tumor-bearing rats, while the irradiated hemisphere showed the direct effects of radiation. CONCLUSION: The RIBE observed in our reporter cells shows that both MRT and HSR yield a demonstrable abscopal effect after high doses of irradiation; presumably as part of a systemic response.
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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) | 0.002 | 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".