Five-year relapse-free survival and predictors of relapse following preoperative docetaxel and mitoxantrone for high-risk localized prostate cancer
Bibliographic record
Abstract
5121 Background: Efforts to incorporate systemic therapy with activity against castration-resistant prostate cancer into the early management of high-risk disease are motivated by persistent risk of relapse when neoadjuvant androgen suppression therapy (AST) is combined with surgery. As docetaxel and mitoxantrone exert anti-tumor effects through distinct cellular mechanisms, this combination has the potential for synergistic activity against prostate cancer. Here we report the 5-year outcomes of patients treated with a novel regimen that combines these agents without AST prior to prostatectomy. We also examined pathologic, biomarker and clinical predictors of early relapse. Methods: 57 high-risk prostate cancer patients were enrolled in a phase I/II study of weekly docetaxel 35 mg/m2 and escalating mitoxantrone to 4 mg/m2 delivered weekly for 3 of every 4 weeks per cycle for 4 cycles over 16 weeks followed by radical prostatectomy. A tissue micro-array constructed from the prostatectomy specimens served to facilitate the exploratory evaluation of biomarkers. The primary end point was relapse-free survival. Relapse was defined as a confirmed serum PSA > 0.4 ng/mL. Results: 54 of 57 pts received all 4 cycles of docetaxel and mitoxantrone prior to radical prostatectomy. Grade 4 toxicities were limited to leucopenia, neutropenia and hyperglycemia. Serum testosterone levels remained stable after chemotherapy. Negative surgical margins were attained in 67% of cases. Lymph node involvement was detected in 18.5% of cases. With a median follow-up of 63 months (range 7 to 86 months), 27 of 57 (47.4%) patients recurred. The Kaplan-Meier progression-free survival at 2 years was 65.5% (95% CI 53.0% to 78.0%) and 49.8% at 5 years (95% CI 35.5% to 64.1%). Pretreatment serum PSA, lymph node involvement, and post-chemotherapy tissue VEGF expression were independent predictors of early relapse. Conclusions: Preoperative combination chemotherapy with docetaxel and mitoxantrone is safe. Approximately half of the high risk pts remain relapse free at 5 years and clinical and molecular predictors of early relapse in this population have been identified. [Table: see text]
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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".