TMPRSS2-ERG status and biochemical recurrence following radiotherapy for intermediate-risk prostate cancer.
Bibliographic record
Abstract
11 Background: Approximately 50% of prostate cancers (PC) contain TMPRSS2-ERG gene fusions leading to ERG overexpression. Pre-clinical data suggest that these fusions are due to altered DNA double-strand break repair status which could have therapeutic ramification for the use of radiotherapy (RT) and PARP inhibitors. The aim of this study was to correlate TMPRSS2-ERG status to biochemical failure following clinical induction of DNA breaks in the form of image-guided radiotherapy (IGRT) in intermediate-risk PC. Methods: Pre-treatment biopsies from two separate cohorts of intermediate-risk PC patients (T1/T2, GS < 8, PSA < 20ng/ml) were analyzed: 1) 126 patients assessed by array Comparative Genomic Hybridization (aCGH) for TMPRSS2:ERG fusion; and 2) 121 patients assessed by tissue microarray (TMA) for ERG expression by immunohistochemistry (IHC). All patients received IGRT with a median dose of 79.8 Gy (60-79.8 Gy). TMPRSS2:ERG status was correlated to Gleason score, T stage, initial PSA and biochemical-free relapse rate (bFRR; Phoenix definition: nadir + 2ng/ml). Results: At a median follow-up time of 6.36 years, the biochemical relapse event rate was 37% and 18% in the aCGH and IHC cohorts, respectively. ERG expression by IHC was found in 49.6% of the 121 PC. TMPRSS2-ERG status was not correlated to increased Gleason score, pre-treatment PSA or T stage. On multivariate analyses in models containing clinical factors, TMPRSS2:ERG status (either using aCGH or IHC) was not prognostic for biochemical outcome (ERG expression: HR=0.78, 95% CI: 0.33-1.85; p= 0.568; TMPRSS2-ERG fusion: HR=0.71, 95% CI: 0.35-1.41; p=0.326). Conclusions: In two separate cohorts, TMPRSS2-ERG status was not prognostic for bRFR after IGRT. Although a trend was observed, these clinical data do not support the hypothesis that these cancers have DNA repair defects that render them significantly more radiosensitive when compared to other PC. Further clinical trials are required to understand the utility of TMPRSS2:ERG status and response to DNA damaging agents, including that of PARP inhibitors. The trans-Canadian PROFIT trial is completing accrual of close to 1200 patients allowing for TMPRSS2:ERG studies in a larger RT cohort.
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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 | 0.000 | 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".