EP-2068: Effect of a 0.2 T magnetic field during radiation on DNA damage and repair in prostate cancer cells
Bibliographic record
Abstract
radiosensitive individuals with low spontaneous level of γH2AX foci (n= 3) and 2) radioresistant individuals with high spontaneous level of γH2AX foci (n=3).Results: An inverse correlation was found between the spontaneous level of γH2AX foci and the frequency of micronuclei after irradiation (R= -0,37, p= 0.025).After gene expression analysis with microarrays, several genes were identified whose differential expression could be associated with an efficiency of DNA repair and radiation sensitivity.XRRA1 gene with unknown functions, recently associated with radioresistance in tumor lines, was down-regulated both before and after irradiation in radioresistant group.Furthermore, in unirradiated samples of radioresistant individuals thrombospondin gene (THBS1), well-known radiosensitizer, was down-regulated.However, several genes were significantly up-regulated, including HERC2, important player in the assembly of DNA repair foci, and histone genes (H1, H2A, H4).After irradiation, several DNA repair genes (WHSC1, POLN, ERCC5, DCLRE1C) were significantly upregulated, but EIF2A and PNPLA5 genes, involved in apoptosis and autophagy, were down-regulated in radioresistant group.This is consistent with low levels of apoptosis and increased proliferation in lymphocytes of these individuals. Conclusion:The obtained results indicate that spontaneous γH2AX foci activate DNA damage response in human somatic cells and provide opportunities to clarify the role of the expression of identified genes in the formation of chromosomal aberrations in human cells after exposure to radiation.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".