BRCA1 Haploinsufficiency, but not Heterozygosity for a BRCA1-truncating Mutation, Deregulates Homologous Recombination
Bibliographic record
Abstract
Humans heterozygous for BRCA1 mutations have a high risk of losing the remaining wild-type BRCA1 allele and developing breast/ovarian cancer, but a molecular basis for this has not yet been determined. It is thought that heterozygosity status-reduced wild-type BRCA1 protein dosage (haploinsufficiency) and/or the presence of a mutant BRCA1 protein-may affect BRCA1 functions and heighten the risk of cancer promoting mutations. BRCA1 maintains genome stability, at least in part, by regulating homologous recombination according to the type of DNA damage. To investigate whether this BRCA1 function is affected by heterozygosity status, we employed, as recombination reporters, human breast cancer MCF-7 cells known to have a single wild-type BRCA1 allele and reduced BRCA1 protein dosage. These cells revealed: (1) a spontaneous hyper-recombination phenotype; (2) reduced efficiency in homologous recombination repair of DNA double-strand breaks (DSBs); and (3) sensitivity to the DSB-inducing chemotherapeutic agent mitomycin C. Correction of BRCA1 protein dosage to the wild-type level reversed all these phenotypes, whereas physiological expression of the cancer-eliciting BRCA1 5382insC mutant allele had no effect on either phenotype. These findings implicate BRCA1 C-terminal domain in recombination control, and indicate that BRCA1 haploinsufficiency alone, which is also a feature of sporadic breast/ovarian cancer, is sufficient to compromise genome stability by triggering spontaneous recombination events that are likely to account for the loss of the remaining wild-type BRCA1 allele and increased cancer risk. Our observations may also have implications for the medical management of cancer patients and cancer prevention.
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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) | 0.001 | 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".