A retrospective analysis of clinical factors influencing response to treatment with cabazitaxel in patients with metastatic castration resistant prostate cancer.
Bibliographic record
Abstract
281 Background: The TROPIC trial demonstrated that cabazitaxel improves overall survival (OS) in mCRPC patients progressing on or after docetaxel; a setting where both abiraterone and enzalutamide are also approved. We evaluated baseline factors that may help predict prostate specific antigen (PSA) response or PSA progression defined as per the Prostate Cancer Clinical Trials Working Group 2 (PCWG2) criteria and OS in mCRPC patients treated with cabazitaxel. Methods: Forty patients from five centres participated in an early access program and were retrospectively reviewed to capture baseline characteristics, disease history, prior and subsequent treatments, PSA response, and OS. The influence of selected variables on PSA response and OS were evaluated by univariate and multivariate stepwise regression analysis. Results: At cabazitaxel initiation, median age was 65, ECOG 0-1 (90%), median PSA was 216 ng/mL, 25% had visceral disease and 70% had pain. Median number of prior docetaxel cycles was 9 and median time from treatment was 9.6 months (5-14.2). Median number of cabazitaxel cycles was 7 (1-27). Fourteen patients received abiraterone before cabazitaxel. In patients with prior abiraterone treatment there was no impact on PSA response compared to patients with no prior abiraterone. In the multivariate regression analysis, presence of visceral disease, low albumin (≤40g/L), low hemoglobin (<100 g/L) and longer time between last docetaxel dose and start of cabazitaxel were correlated with PSA response to cabazitaxel (p<0.10). Age < 65, BMI ≥ 30kg/m2 and presence of pain were linked to an increased likelihood of PSA progression. None of the factors selected were significantly associated with OS. Conclusions: In routine clinical practice, this study suggests that mCRPC patients with visceral disease and a longer time elapsed between last docetaxel dose and start of cabazitaxel may experience a greater PSA response with cabazitaxel.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".