Inherited predisposition to pancreatic adenocarcinoma: role of family history and germ-line p16, BRCA1, and BRCA2 mutations.
Bibliographic record
Abstract
Susceptibility to pancreatic adenocarcinoma appears to be linked to germ-line mutations in genes causing various familial cancer syndromes. The objectives of this study were to estimate the proportion of unselected pancreatic cancer patients belonging to hereditary cancer syndrome families and to determine the frequency ofp16, BRCA1, BRCA2, hMSH2, and hMLH1 germ-line mutations in patients with a personal or family history of cancer. The study population consisted of 102 patients with histologically verified pancreatic adenocarcinoma, unselected for age, sex, family history, or ethnic origin. Patients completed a family history questionnaire and provided blood for mutation analysis. Three-generation pedigrees were constructed and classified as high risk/familial, intermediate risk/ familial, intermediate risk/nonfamilial, or low risk according to defined criteria. High- and intermediate-risk cases were analyzed for germ-line mutations using a combination of methods. Thirty-eight of 102 (37%) patients were characterized as high or intermediate risk, and the remainder were classified as low risk. Germ-line mutations were identified in five (13%) of these cases [one in p16 (I49S); one in BRCA1 (5382 insC); and three in BRCA2 (6174delT)]. The BRCA1 and BRCA2 mutations were identified in Ashkenazi Jewish patients. Four of the mutation carriers had strong family histories of the syndromes associated with the mutated genes. No mutations were identified in patients in whom the sole risk factor was a family history of pancreatic cancer, and only one mutation was found among patients with early-onset disease. We conclude that known causes of genetic predisposition are an important risk factor in a small proportion of pancreatic cancer patients, especially if associated with a strong family history of syndromes associated with the disease. The lack of detectable germ-line mutations in most high- and intermediate-risk cases suggests that there are probably additional, as yet unidentified genes predisposing to this disease.
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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".