Mutation analysis and characterization of HSD17B2 sequence variants in breast cancer cases from French Canadian families with high risk of breast and ovarian cancer
Bibliographic record
Abstract
Estrogen exposure is a risk factor for breast cancer. Given that HSD17B2 gene encodes an enzyme that catalyses estradiol inactivation, it appears as a good candidate breast cancer susceptibility gene. This study was designed to screen for HSD17B2 germline mutations potentially involved in breast cancer predisposition. Our re-sequencing analysis did not identify any deleterious germline mutations, and therefore mutations in HSD17B2 do not explain the clustering of breast cancer cases in non-BRCA1/2 high-risk French Canadian families. However, six sequence variants were identified, including two novel missense variants. Expression assays revealed that p.Ala111Asp and p.Gly160Arg did not alter the catalytic properties of 17beta-hydroxysteroid dehydrogenase type 2 enzyme, although p.Ala111Asp appears to affect protein stability resulting in significant decreases in the protein levels, providing valuable information on structure-function relationship.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".