BRCA1 and BRCA2 Mutations in Polish Women with Ductal Carcinoma In Situ
Bibliographic record
Abstract
Background/Objectives: Ductal carcinoma in situ (DCIS) is the most common non-invasive form of breast cancer. It is not clear to what extent DCIS is a part of the hereditary breast/ovarian cancer syndrome caused by BRCA1/2 mutations. Therefore, we investigated the association of BRCA1/2 mutations in patients with DCIS and assessed their impact on survival. Methods: We studied 564 Polish women with DCIS for six alleles in BRCA1 (c.181T>G, c.5266dupC, c.4035delA, c.3700_3704del5, c.68_69del and c.5251C>T) and four in BRCA2 (c.658_659del, c.3847_3848del, c.5946del and c.7913_7917del). To investigate the association of BRCA1/2 founder mutations with DCIS risk, we tested 4702 controls as a reference. To analyze survival, mutation carriers were followed for an average of 110 months. Results: A BRCA1 mutation was present in seven (1.24%) cases and in twenty-two (0.47%) controls (OR = 3.27, 95%CI 1.36 to 7.87, p = 0.01). A BRCA2 mutation was present in eight (1.42%) cases versus six (0.13%) controls (OR = 11.3, 95%CI 3.9 to 32.6, p < 0.0001). Three of the fifteen cases with BRCA1/2 mutations developed invasive ipsilateral or contralateral breast cancer, on average 6 years from the diagnosis of DCIS. There were no deaths reported among the 15 mutation carriers with DCIS. Conclusions: DCIS is a part of the hereditary breast/ovarian cancer syndrome caused by BRCA1/2 mutations. Women with DCIS should receive genetic counseling and testing for BRCA1/2 mutations. BRCA1/2 mutations may predispose women to a better DCIS prognosis, but further studies are needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".