PPM1D Mutations in Circulating White Blood Cells and the Risk for Ovarian Cancer
Bibliographic record
Abstract
We compared the frequency of PPM1D mutation in the white blood cells from 1295 ovarian cancer case patients and 834 control subjects. We found a truncating mutation in 20 case patients vs 1 control subject (odds ratio [OR] = 13.07; 95% confidence interval [CI] = 1.75 to 97.55; P < .001). The 12-year mortality of the PPM1D-positive case patients was higher than that of the PPM1D-negative case patients (hazard ratio = 2.02; 95% CI = 1.21 to 3.39; P = .007). Three of the 20 PPM1D carrier case patients had a past history of breast cancer compared with 29 of 1129 noncarriers (OR = 6.69; 95% CI = 1.86 to 24.11; P = .007). The lifetime risks for breast or ovarian cancer among female first-degree relatives of PPM1D mutation carriers were not increased compared with that of case patients without mutations. These observations suggest PPM1D mutations in the mosaic state predispose women to breast and ovarian cancer in the absence of a family history of cancer.
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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 | 0.000 |
| 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) | 0.001 | 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".