KEYNOTE-365 cohort C updated results: Pembrolizumab (pembro) plus enzalutamide (enza) in abiraterone (abi)-pretreated patients (pts) with metastatic castrate-resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
102 Background: KEYNOTE-365 (NCT02861573) is a phase 1b/2 study evaluating pembro in combination with other agents in mCRPC. An earlier report of cohort C showed activity and acceptable safety with pembro + enza. Updated results from cohort C are reported. Methods: Pts who failed or became intolerant to ≥4 wks of abi in prechemotherapy mCRPC state and whose disease progressed within 6 mo of screening per PSA progression or radiologic bone or soft tissue progression enrolled. Pts received pembro 200 mg IV Q3W with enza 160 mg/day PO. Primary end points: safety, PSA response rate (confirmed PSA decline ≥50%), and objective response rate (ORR) per blinded independent central review. Key secondary end points: disease control rate (DCR), duration of response (DOR), time to PSA progression, rPFS, and OS. Results: Of 102 treated pts, 73 discontinued, primarily due to progression (60%). Median age was 70 y (range, 43-87), 29% were PD-L1+, 17% had visceral disease, and 39% had measurable disease. Median follow up was 13 mo for all patients (n=102) and 17 mo for patients with ≥27 wks’ follow-up (n=69). See Table for efficacy outcomes. Treatment-related AEs occurred in 92 pts (90%); most frequent (≥20%) were fatigue (38%), nausea (22%), and rash (20%). Grade 3-5 treatment-related AEs occurred in 40 pts (39%). Three pts died of AEs (1 AE was treatment related [cause unknown]). Conclusions: With additional follow-up, pembro + enza continued to show activity in pts with abi-pretreated mCRPC. Safety of the combination was consistent with known profiles of pembro and enza. Clinical trial information: NCT02861573. [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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".