Estrogen receptor status in CHEK2‐positive breast cancers: implications for chemoprevention
Bibliographic record
Abstract
To investigate the relationship between CHEK2 mutation status and estrogen receptor (ER) status in unselected cases of early-onset breast cancer from Poland, we screened 4441 women diagnosed with breast cancer younger than 51 years and 7217 controls for three inherited mutations in CHEK2 (1100delC, IVS2+1G>A, del5395). ER status was compared between CHEK2-positive and CHEK2-negative breast cancer cases. A truncating mutation in CHEK2 was seen in 140 of 4441 cases and in 70 of 7217 controls [odds ratio (OR) = 3.3; 95% CI = 2.5-4.4; p < 0.0001]. ER status was available for 92 of 140 mutation carriers and for 3001 of 4301 non-carriers with breast cancer. The OR was higher for ER-positive cancers (OR = 3.9; 95% CI = 2.7-5.4; p < 0.0001) than for ER-negative cancers (OR = 2.1; 95% CI = 1.3-3.3; p = 0.002). Sixty-six of the 92 breast cancers in carriers of CHEK2 truncating mutations were ER positive compared with 1742 of the 3001 breast cancers in non-carriers (72% vs 58%; p = 0.01). Women with a CHEK2 mutation face a fourfold increase in the risk of ER-positive breast cancer and might be candidates for tamoxifen chemoprevention.
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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 | 0.001 | 0.001 |
| 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".