Germline <i>BRCA</i> Mutations in a Large Clinic-Based Cohort of Patients With Pancreatic Adenocarcinoma
Bibliographic record
Abstract
PURPOSE: The main purpose of this study was to determine the prevalence of pathogenic BRCA1 and BRCA2 mutations in a consecutively ascertained clinic-based cohort of patients with pancreatic ductal adenocarcinoma and describe the clinical and family history characteristics. PATIENTS AND METHODS: Unselected, consecutive, incident patients with pancreatic ductal adenocarcinoma were recruited at a single cancer center over a 2-year period. Participants provided blood for DNA analysis and cancer family history, and cancer treatment records were reviewed. DNA from all patients was analyzed by Sanger sequencing and multiplex ligation-dependent probe amplification for germline variants in BRCA1 and BRCA2. RESULTS: Three hundred six patients were eligible for analysis. Pathogenic germline BRCA mutations were identified in 14 patients (4.6%; 95% CI, 2.2% to 6.9%), including 11 patients with a BRCA2 mutation and three patients with a BRCA1 mutation. Having a cancer family history that met genetic testing criteria of the National Comprehensive Cancer Network or the Ontario Ministry of Health and Long-Term Care or self-reporting as Ashkenazi Jewish was significantly associated with BRCA mutation carrier status (P=.02, P<.001, and P=.05, respectively). However, the majority of the BRCA mutation-positive patients did not actually meet these genetic testing criteria. CONCLUSION: Pathogenic BRCA mutations were identified in 4.6% of a large cohort of clinic-based patients. Considering the implications for family members of BRCA carriers, and possibly tailored chemotherapeutic treatment of patients, our finding has implications for broader BRCA genetic testing for patients with pancreatic ductal adenocarcinoma.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".