CAPItello-280: A phase III study of capivasertib and docetaxel versus placebo and docetaxel in metastatic castration-resistant prostate cancer.
Bibliographic record
Abstract
TPS287 Background: Docetaxel is the standard first-line chemotherapy for patients with metastatic castration-resistant prostate cancer (mCRPC) whose disease progressed on an androgen receptor-targeted agent (ARTA; typically, abiraterone, enzalutamide, apalutamide, or darolutamide). However, most patients develop chemotherapy resistance, and median overall survival (OS) remains under 3 years. Preclinical studies have associated phosphoinositide 3-kinase (PI3K)/protein kinase (AKT)/phosphatase and tensin homolog (PTEN) pathway signaling with the development of mCRPC and with resistance to taxane chemotherapy. The ProCAID Phase II trial (NCT02121639) examined whether adding capivasertib, a potent, selective inhibitor of all three AKT isoforms (AKT1/2/3), to docetaxel chemotherapy improved clinical outcomes. Although no difference in the primary endpoint (composite progression-free survival [PFS]) was detected, OS, a secondary endpoint, was extended in the capivasertib plus docetaxel treatment group. A subsequent follow-up analysis at advanced maturity suggested that the OS benefit in ProCAID was restricted to patients who had received prior treatment with an ARTA. Methods: CAPItello-280 is a Phase III study to confirm the efficacy and safety of capivasertib in combination with docetaxel compared with placebo and docetaxel in patients with mCRPC who have not previously received chemotherapy for mCRPC, but whose disease has progressed despite treatment with an ARTA in any setting. Approximately 790 patients will be randomized 1:1 to receive either capivasertib or matching placebo (320 mg orally, twice daily [BD], 4 days on, 3 days off) plus docetaxel (75 mg/m2 on day 1 of each 21-day cycle for 6–10 cycles, with prednisone or prednisolone 5 mg BD or 10 mg once daily) with a background of continued androgen deprivation therapy until disease progression, unacceptable toxicity, death, or withdrawal of consent. The primary endpoint is OS; secondary endpoints include radiographic PFS, time to pain progression, symptomatic skeletal events, safety, and tolerability. Recruitment began in March 2022 and is planned at 207 study sites in 20 countries, including the USA, Canada, Europe, South America, and Asia-Pacific. Clinical trial information: NCT05348577 .
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".