Mutational analysis of BRCA1 and BRCA2 genes in Chinese ovarian cancer identifies 6 novel germline mutations
Bibliographic record
Abstract
Germline mutations in the BRCA1 and BRCA2 genes predispose women to breast and ovarian cancer. An incidence of 5% and 3.3% respectively has been reported of BRCA1 and BRCA2 mutations in women with ovarian cancer unselected for family history. The contribution of BRCA1 and BRCA2 mutations to ovarian cancer in Chinese women is unknown. A total of 60 samples of ovarian cancer diagnosed in Chinese unselected for age or family history were analyzed for BRCA mutations using the protein truncation test. The entire coding exon of BRCA1 of 53 cases and that of exon 11 of BRCA2 of 43 cases were successfully screened. Six germline (11.3%) mutations (633C>T, 1080delT, 1129delA, 2371-2372delTG, 3976-3979delGTGA, and IVS 22+7 A>G) were detected in BRCA1. One germline mutation (3337C>T) (2.1%) was detected in BRCA2. None of these seven cases were associated with strong family history of breast and/or ovarian cancer. Five out of our six BRCA1 mutations and the one BRCA2 mutation identified are novel. Our 11.3% incidence of BRCA1 mutations in ovarian cancer found amongst Chinese with insignificant family history is apparently higher than that previously reported in other populations. It suggests that BRCA1 mutation may play a significant role in the development of sporadic ovarian cancer in Chinese women.
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How this classification was reachedexpand
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 | 0.001 |
| 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 teacher head, 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".