Histone H2AX Phosphorylation as a Predictor of Radiosensitivity and Target for Radiotherapy
Bibliographic record
Abstract
Based on the role of phosphorylation of the histone H2A variant H2AX in recruitment of DNA repair and checkpoint proteins to the sites of DNA damage, we have investigated gammaH2AX as a reporter of tumor radiosensitivity and a potential target to enhance the effectiveness of radiation therapy. Clinically relevant ionizing radiation (IR) doses induced similar patterns of gammaH2AX focus formation or immunoreactivity in radiosensitive and radioresistant human tumor cell lines and xenografted tumors. However, radiosensitive tumor cells and xenografts retained gammaH2AX for a greater duration than radioresistant cells and tumors. These results suggest that persistence of gammaH2AX after IR may predict tumor response to radiotherapy. We synthesized peptide mimics of the H2AX carboxyl-terminal tail to test whether antagonizing H2AX function affects tumor cell survival following IR. The peptides did not alter the viability of unirradiated tumor cells, but both blocked induction of gammaH2AX foci by IR and enhanced cell death in irradiated radioresistant tumor cells. These results suggest that H2AX is a potential molecular target to enhance the effects of radiotherapy.
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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 | 0.001 |
| 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".