Efficient Deletion of Normal <i>Brca2</i>-Deficient Intestinal Epithelium by Poly(ADP-Ribose) Polymerase Inhibition Models Potential Prophylactic Therapy
Bibliographic record
Abstract
The genes encoding the BRCA1 and BRCA2 tumor suppressors are the most commonly mutated in human familial breast cancers. Both have separate roles in the maintenance of genomic stability through involvement in homologous recombination, an error-free process enabling cells to repair DNA double-strand breaks. We have previously shown that cre-mediated conditional deletion of Brca2 within the mouse small intestine sensitizes the tissue to DNA damage. Eventually, the tissue repopulates via stem cells in which recombination at the floxed Brca2 allele has not taken place. In this study, we have treated Brca2-deficient small intestine with a potent small-molecule inhibitor of poly(ADP-ribose) polymerase 1 (PARP1), an enzyme predominantly involved in the recognition of DNA single-strand breaks. Brca2 deficiency rendered otherwise normal cells exquisitely sensitive to PARP inhibition, resulting in very high levels of apoptosis as early as 6 hours after treatment, with evidence for repopulation of the tissue at 12 hours. Furthermore, the intestines of animals treated with serial injections of the inhibitor repopulated very rapidly in comparison with those from untreated mice. Our results represent the first in vivo demonstration that inhibition of PARP1 activity confers exquisite sensitivity to death in physiologically normal Brca2-deficient cells, suggesting that such a regimen may be extremely potent prophylactically in women heterozygous for the BRCA2 gene, as well as against established tumors lacking functional BRCA2.
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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) | 0.001 | 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".