Association of baseline perineural invasion with shorter time to progression in men with prostate cancer undergoing active surveillance: Results from the REDEEM study.
Bibliographic record
Abstract
23 Background: Perineural invasion (PNI) on prostate cancer (PC) biopsies has been associated with disease upgrading among those undergoing radical prostatectomy. However, the clinical significance of PNI in men on active surveillance (AS) has been evaluated by a limited number of studies. Thus, we sought to evaluate the association of PNI with time to clinical and pathological progression in men with PC on AS. Methods: Retrospective analysis of 289 men 48 to 82 years old on AS for low-risk PC (T1c-T2a), Gleason ≤6, ≤3 positive cores, ≤50% of any core involved, prostate-specific antigen (PSA) ≤11ng/ml, life expectancy >5 years and follow-up data in the REduction by Dutasteride of clinical progression Events in Expectant Management study. Progression was divided in pathological (>3 positive cores, >50% core involvement or Gleason >6 in a repeat biopsy) or therapeutic (any treatment for PC) or both. Time to progression was analyzed with Kaplan-Meier plots, log-rank tests and Cox model adjusting for age, PSA density, percent cores involved, maximum core involvement and treatment. Results: A total of 11 (4%) patients had PNI on baseline biopsy. PNI was associated with higher tumor length and maximum core involvement (all P<0.05). PNI was not associated with patient’s age, race, PSA levels or density, percent or number of positive cores. After a median follow-up of 37 months, 125 (43%) patients developed progression. Of these, 95 (76%) patients had pathological and 30 (24%) had therapeutic progression. In univariable analysis, patients with baseline PNI had a shorter time to overall and pathological progression (HR=2.62, 95%CI=1.31-5.23, P=0.006 and HR=2.42, 95%CI=1.03-5.66, P=0.041, respectively). Similar results were obtained in multivariable analysis for overall and pathological progression (HR=2.26, 95%CI=1.10-4.68, P=0.028 and HR=2.13, 95%CI=0.88-5.13, P=0.092, respectively). Conclusions: Among patients with PC on AS, PNI is independently associated with shorter time to progression. Thus, PNI may be used to help select patients for AS and stratify them according to the risk of disease progression.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".