Targeting DNA Repair Proteins: A Promising Avenue for Cancer Gene Therapy
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
Enhanced DNA repair in many cancer cells can be correlated to the resistance to cancer treatment, and thus contributes to a poor prognosis. Ionizing radiation and many anti-cancer drugs induce DNA double-strand breaks (DSBs), which are usually regarded as the most toxic types of DNA damages. Repair of DNA DSBs is vital for maintaining genomic stability and hence crucial for survival and propagation of all cellular organisms. Therefore, reducing the capacity of cancer cells to repair DSBs could sensitize tumors to radio/chemotherapy. Many investigators have used gene therapy strategies to down-regulate or inactivate proteins involved in the repair of DSBs in order to reduce the survival of cancer cells. Herein, are reviewed several protein candidates that have been targeted by different gene therapy approaches. Results obtained from in vitro and in vivo experiments are presented and discussed in the perspective of potential gene therapy clinical trials.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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