Association of alkaline phosphatase (ALP) with clinical outcomes in chemotherapy-naive patients (pts) with metastatic castration-resistant prostate cancer (mCRPC): Results from COU-AA-302.
Bibliographic record
Abstract
27 Background: Prognostic models have been developed for men with mCRPC. In this analysis we undertook a pragmatic approach to focus on commonly obtained markers. Baseline ALP and normalization of elevated ALP post-docetaxel have prognostic value for overall survival (OS). We examined the association between ALP and prostate-specific antigen (PSA) elevation at baseline and after 4 cycles of therapy (C5D1), when both markers were assessed, with long-term clinical outcomes in COU-AA-302, a randomized phase 3 study of abiraterone acetate (AA) in chemotherapy-naive mCRPC pts. Methods: 1,088 pts were randomized 1:1 to AA (1 g) + prednisone (P) (5 mg BID) or placebo + P. Radiographic progression-free survival (rPFS) and OS were co-primary end points. The study design, as well as primary and secondary end point results obtained at the time of a prespecified interim analysis at 55% OS events, have been described in detail previously. The effect of elevated ALP (above upper limit of normal) and PSA (above 106.2 µg/mL, baseline third quartile) status on rPFS and OS was assessed retrospectively using a stratified Cox regression model that included treatment and baseline factors log (lactate dehydrogenase), hemoglobin, whether patient had only bone metastasis, and age. Results: Elevated status of ALP and PSA were independent significant predictors of increased risk for outcomes at baseline as well as after 4 cycles of therapy (Table). Conclusions: These post hoc analyses of data from COU-AA-302 suggest that elevated ALP and PSA at baseline and during treatment confers individual and additive risk for adverse clinical outcomes in chemotherapy-naive mCRPC. Clinical trial information: NCT00887198. [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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".