BRCA1 Haploinsufficiency, but not Heterozygosity for a BRCA1-truncating Mutation, Deregulates Homologous Recombination
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
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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