BRCA1 and BRCA2 mutations in Turkish familial and non-familial ovarian cancer patients: a high incidence of mutations in non-familial cases
Bibliographic record
Abstract
Ovarian cancer is a clinically important cancer in Turkey. The contribution of BRCA1 and BRCA2 to ovarian cancer in Turkish patients has not previously been described. In this study we investigated the presence of BRCA1 and BRCA2 mutations in 102 consecutively ascertained, hospital-based, ovarian cancer cases. Four out of 15 (26.7%, 95% confidence interval (CI), 7.8%-55.1%) familial cases were found to carry mutations in BRCA1. Thirteen of the 87 (14.9%, 95% CI, 7.5%-22.4%) non-familial cases had BRCA1 and BRCA2 mutations, six in BRCA1, and seven in BRCA2. We have further studied the non-familial ovarian cancer cases to determine which subgroups have a likelihood of carrying clinically important mutations. Our study shows that those Turkish ovarian cancer patients with serous histopathology harbor a high proportion of mutations (12/58, 20.7%, 95% CI, 10.3%-31.1%) compared to all non-familial cases (14.9%) regardless of pathology. Within the serous sub-group, those that were also diagnosed below age 50 have an even greater percentage of mutations (8/28, 28.6%, 95% CI, 11.8%-45.3%). Our findings demonstrate that a substantial proportion of Turkish ovarian cancer patients, both with and without a family history, carry BRCA1 and BRCA2 mutations, demonstrating the importance of BRCA1 and BRCA2 in the development of ovarian cancer in this population.
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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 | 0.000 |
| 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".