Association Between Germline HOXB13 G84E Mutation and Risk of Prostate Cancer
Bibliographic record
Abstract
Recently, a G84E mutation in HOXB13, a gene involved in prostate development, was shown to be strongly associated with an increased risk of prostate cancer. To confirm this association in a screening setting, we conducted a case-control study and sequenced germline DNA from peripheral leukocytes of 1843 men diagnosed with prostate cancer (case subjects) and 2225 men without prostate cancer (control subjects) for mutations in HOXB13. Subjects (aged 40-94 years) were prescreened and underwent a prostate biopsy at two tertiary care centers in Canada. The frequency of HOXB13 variants was determined in case subjects and control subjects by race, and odds ratios and 95% confidence intervals were based on 2×2 table analysis. All statistical tests were two-sided. Twelve men of white race were identified to be carriers of the G84E mutation. The G84E mutation was more frequent among white case subjects than among white control subjects (10 of 1525 [0.7%] vs 2 of 1757 [0.1%], P = .01) and was associated with an increased risk of prostate cancer (unadjusted odds ratio = 5.8, 95% confidence interval = 1.3 to 26.5, P = .01).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".