Clinical Behavior of Breast Cancer in Young <i>BRCA</i> Carriers and Prediagnostic Awareness of Germline <i>BRCA</i> Status
Bibliographic record
Abstract
PURPOSE To investigate the clinical behavior of breast cancer in young BRCA carriers according to the specific BRCA gene ( BRCA1 v BRCA2 ) and the association of the timing of genetic testing (before v at diagnosis) with prognosis. METHODS This was an international, multicenter, hospital-based, retrospective cohort study that included 4,752 patients harboring germline pathogenic/likely pathogenic variants (PVs) in BRCA1 or BRCA2 , who were diagnosed with stage I-III invasive breast cancer at 40 years or younger between January 2000 and December 2020 in 78 centers worldwide (ClinicalTrials.gov identifier: NCT03673306 ). RESULTS Compared with BRCA2 carriers (n = 1,683), BRCA1 carriers (n = 3,069) had more frequently hormone receptor–negative (74.4% v 15.5%) and high-grade (77.5% v 49.1%) tumors. Similar outcomes were observed in BRCA1 and BRCA2 carriers but with a different pattern and risk of disease-free survival events over time. Compared with patients tested for BRCA at diagnosis (ie, between 2 months before and up to 6 months after diagnosis; n = 1,671), those tested before diagnosis (ie, any time up to 2 months before diagnosis; n = 411) had smaller tumors (T1: 61.3% v 32.4%), less nodal involvement (N0: 65.9% v 50.8%), less frequently received chemotherapy (84.4% v 92.9%), and axillary dissection (37.5% v 47.4%). Patients tested before diagnosis had better overall survival (OS; unadjusted hazard ratio [HR], 0.61 [95% CI, 0.40 to 0.92]); however, this result lost statistical significance after adjustment for potential confounders including tumor stage (adjusted HR, 0.74 [95% CI, 0.47 to 1.15]). CONCLUSION This global study provides evidence on the different clinical behavior of breast cancer in young BRCA1 and BRCA2 carriers. Identifying a BRCA PV in healthy individuals was associated with earlier-stage breast cancer diagnosis and lower treatment burden, as well as better unadjusted OS.
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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) | 0.000 | 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".