Detection of<i>ERG</i>gene rearrangements and<i>PTEN</i>deletions in unsuspected prostate cancer of the transition zone
Bibliographic record
Abstract
To assess the incidence of ERG rearrangements and PTEN deletions in a group of prognostically favorable PCA tumors of the transition zone (TZ). We interrogated 54 unsuspected PCA tumors using fluorescence in-situ hybridization for ERG rearrangements and PTEN deletions. ERG rearrangements were detected in 6/47 (12.7%) cases with 4/6 (66%) occurring by deletion. PTEN deletions were detected in 9/47 (19.1%) cases with only 3/47 (6.4%) having both PTEN losses and ERG rearrangements (p = 0.07). Only ERG rearrangements were associated with higher tumor volume > 5% (p = 0.04); PTEN deletions showed similar trends (p = 0.06). None of the markers showed association with Gleason score. In conclusion, although TZ and peripheral zone tumors share similar molecular etiologies, they exhibit differences in the rates of ERG and PTEN aberrations. The differences of ERG and /or PTEN genetic aberrations in TZ tumors may point toward a subset of tumors with adverse behavior. Additional studies implementing ERG and PTEN tissue-based FISH assays in tumors of the TZ are warranted to substantiate the potential clinical value of these biomarkers in the management of men with incidental PCA.
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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".