Blood molybdenum level as a marker of cancer risk on BRCA1 carriers
Bibliographic record
Abstract
OBJECTIVE: To investigate whether Molybdenum blood level is a marker of cancer risk on BRCA1 carriers. METHODS: A prospective cohort study was conducted among 989 initially unaffected women with a BRCA1 mutation. Blood samples were collected to measure molybdenum levels, and participants were followed for an average of 7.5 years. Cox proportional hazards models were used to assess the association between blood molybdenum levels and cancer incidence, adjusting for potential confounders. RESULTS: High blood molybdenum levels (> 0.70 µg/L) were significantly associated with an increased risk of developing ovarian cancer (HR = 5.55; 95%CI: 1.59-19.4; p = 0.007) and any cancer (HR = 1.74; 95%CI: 1.17-2.61; p = 0.007) but not breast cancer (HR = 1.46, CI = 0.91-2.33; p = 0.12). The cumulative incidence of ovarian cancer at ten years was 1.2% for the lowest molybdenum tertile, 4.2% for the middle tertile, and 8.7% for the highest tertile. CONCLUSION: Elevated blood molybdenum levels are associated with an increased risk of ovarian cancer on BRCA1 mutation carriers. Lowering molybdenum levels may potentially reduce cancer risk in this population, and high molybdenum levels could serve as a marker for considering preventive oophorectomy in BRCA1 carriers. Further research is warranted to confirm these findings and explore interventions targeting molybdenum levels as a preventive measure for ovarian cancer in BRCA1 mutation carriers.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".