Mixed Ovarian Germ Cell Tumor in a BRCA2 Mutation Carrier
Bibliographic record
Abstract
BRCA2 germ-line mutations confer an increased risk of developing breast and ovarian cancer. We report the occurrence of a mixed ovarian germ cell tumor (GCT) (50% embryonal carcinoma, 20%-25% choriocarcinoma, 10%-15% dysgerminoma, and 10%-15% immature teratoma) in a 33-year-old Ashkenazi Jewish woman, carrier of the BRCA2:6174delT mutation. The mutation is also present in the patient's father, who was diagnosed with breast cancer at age 59 and with prostate cancer at age 69. This is the first report of a GCT in a BRCA2 mutation carrier; there was one previous report of an ovarian dysgerminoma in a BRCA1 carrier. Molecular analysis of the proband's tumor DNA revealed there was no loss of heterozygosity of the wild-type allele in the tumor, as is usually the case for epithelial BRCA-related ovarian tumors. This suggests either that biallelic inactivation of BRCA2 is not required for GCT development or that this is a chance event unrelated to the presence of the mutation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".