Differential prognostic impact of different Gleason patterns in grade group 4 in radical prostatectomy specimens
Bibliographic record
Abstract
INTRODUCTION: There are questions regarding whether grade group (GG) 4 prostate cancer (PC) is heterogeneous in terms of prognosis. We assessed prognostic differences in PC patients within GG 4 treated with radical prostatectomy (RP). MATERIAL AND METHODS: Biochemical recurrence (BCR)-free, cancer-specific, and overall survival were analyzed in 787 PC patients with GG 4 based on RP pathology (Gleason score (GS) 3 + 5: 189, GS 4 + 4: 500, and GS 5 + 3: 98). Logistic regression analysis was performed to assess factors predictive of high-risk surgical pathological features. Cox regression models were used to evaluate potential prognostic factors of survival. RESULTS: Within a median follow-up of 86 months, 378 patients (48.0%) experienced BCR and 96 patients (12.2%) died, 42 of whom (5.3%) died of PC. GS 5 + 3 was significantly associated with worse BCR-free and cancer-specific survival, as well as higher positive surgical margin, lymph node metastasis, extraprostatic extension, and non-organ-confined disease rates, than GS 3 + 5 and higher positive surgical margin, lymph node metastasis, extraprostatic extension, and non-organ-confined disease rates than GS 4 + 4 (P < 0.05). GS 4 + 4 was significantly associated with worse BCR-free survival and higher extraprostatic extension, and non-organ-confined disease rates than GS 3 + 5 (P < 0.05). Inclusion of the different Gleason patterns improved the discrimination of a model for prediction of all survival outcomes compared to standard prognosticators. CONCLUSIONS: There is considerable heterogeneity within GG 4 in terms of oncological and surgical pathological outcomes. Primary and secondary Gleason patterns should be considered to stratify high-risk PC patients after RP.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".