Germline BRCA1 and BRCA2 Mutations in Ovarian Cancer
Bibliographic record
Abstract
OBJECTIVE: To estimate the frequency of BRCA1 and BRCA2 germline mutations in women with nonmucinous epithelial ovarian carcinoma unselected for a family history of breast or ovarian cancer. METHODS: From 2004 to 2009, women undergoing surgical staging for nonmucinous epithelial ovarian carcinoma, including fallopian tube and primary peritoneal carcinoma, were invited to participate in tumor banking and genetic counseling for BRCA1 and BRCA2 mutations. Pathology and family history obtained by the gynecologic oncology surgeon and genetic counselors were reviewed. RESULTS: Of 131 women fulfilling entry criteria, germline BRCA1 and BRCA2 mutations were found in 20% (26/131) and were exclusively associated with high-grade serous histology (26/103 [25%]). Restricting BRCA1 and BRCA2 testing to women with family histories of hereditary breast and ovarian cancer, as ascertained by the surgeon, missed 14 mutation carriers, lowering detection rates to 9% (12/131) or 11.6% (12/103) if only considering the patients with high-grade serous histology. This improved to 16% (21/131) or 20.4% (21/103) when ascertained by the genetic counselor; however, 5 of 26 (19%) mutation carriers did not have a family history of hereditary breast or ovarian cancer. CONCLUSION: Germline BRCA1 and BRCA2 mutations in ovarian (pelvic) cancer are associated with high-grade serous histology. The high incidence (25%) of germline BRCA1 and BRCA2 mutations specific to the high-grade serous subtype suggests that genetic assessment of all women diagnosed with high-grade serous ovarian (pelvic) carcinoma will improve detection rates and capture mutation carriers otherwise missed by referral based on family history alone. LEVEL OF EVIDENCE: II.
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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 | 0.001 |
| 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 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".