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Record W4292103594 · doi:10.1136/jitc-2022-004761

Nivolumab plus rucaparib for metastatic castration-resistant prostate cancer: results from the phase 2 CheckMate 9KD trial

2022· article· en· W4292103594 on OpenAlexaff
Karim Fizazi, Margitta Retz, Daniel P. Petrylak, Jeffrey C. Goh, José Luis Perez‐Gracia, Louis Lacombe, Stefanie Zschäbitz, Mauricio Burotto, Hakim Mahammedi, Gwénaëlle Gravis, Diogo Assed Bastos, Steven McCune, Juan Carlos Vázquez Limón, Edmond M. Kwan, Daniel Castellano, Aude Fléchon, Fred Saad, Marc‐Oliver Grimm, David R. Shaffer, Andrew J. Armstrong, Prabhu Bhagavatheeswaran, Neha P. Amin, Keziban Ünsal-Kaçmaz, Xuya Wang, Jun Li, Andrea Loehr, Russell K. Pachynski

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2022
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité LavalHôtel-Dieu de Québec
FundersFoundation MedicineNational Center for Advancing Translational SciencesOno PharmaceuticalClovis OncologyBristol-Myers Squibb
KeywordsMedicineEnzalutamideProstate cancerNivolumabInternal medicineOncologyCohortProgression-free survivalCancerUrologyChemotherapyAndrogen receptorImmunotherapy

Abstract

fetched live from OpenAlex

Background CheckMate 9KD ( NCT03338790 ) is a non-randomized, multicohort, phase 2 trial of nivolumab plus other anticancer treatments for metastatic castration-resistant prostate cancer (mCRPC). We report results from cohorts A1 and A2 of CheckMate 9KD, specifically evaluating nivolumab plus rucaparib. Methods CheckMate 9KD enrolled adult patients with histologically confirmed mCRPC, ongoing androgen deprivation therapy, and an Eastern Cooperative Oncology Group performance status of 0–1. Cohort A1 included patients with postchemotherapy mCRPC (1–2 prior taxane-based regimens) and ≤2 prior novel hormonal therapies (eg, abiraterone, enzalutamide, apalutamide); cohort A2 included patients with chemotherapy-naïve mCRPC and prior novel hormonal therapy. Patients received nivolumab 480 mg every 4 weeks plus rucaparib 600 mg two times per day (nivolumab dosing ≤2 years). Coprimary endpoints were objective response rate (ORR) per Prostate Cancer Clinical Trials Working Group 3 and prostate-specific antigen response rate (PSA 50 -RR; ≥50% PSA reduction) in all-treated patients and patients with homologous recombination deficiency (HRD)-positive tumors, determined before enrollment. Secondary endpoints included radiographic progression-free survival (rPFS), overall survival (OS), and safety. Results Outcomes (95% CI) among all-treated, HRD-positive, and BRCA1/2 -positive populations for cohort A1 were confirmed ORR: 10.3% (3.9–21.2) (n=58), 17.2% (5.8–35.8) (n=29), and 33.3% (7.5–70.1) (n=9); confirmed PSA 50 -RR: 11.9% (5.9–20.8) (n=84), 18.2% (8.2–32.7) (n=44), and 41.7% (15.2–72.3) (n=12); median rPFS: 4.9 (3.7–5.7) (n=88), 5.8 (3.7–8.4) (n=45), and 5.6 (2.8–15.7) (n=12) months; and median OS: 13.9 (10.4–15.8) (n=88), 15.4 (11.4–18.2) (n=45), and 15.2 (3.0–not estimable) (n=12) months. For cohort A2 they were confirmed ORR: 15.4% (5.9–30.5) (n=39), 25.0% (8.7–49.1) (n=20), and 33.3% (7.5–70.1) (n=9); confirmed PSA 50 -RR: 27.3% (17.0–39.6) (n=66), 41.9 (24.5–60.9) (n=31), and 84.6% (54.6–98.1) (n=13); median rPFS: 8.1 (5.6–10.9) (n=71), 10.9 (6.7–12.0) (n=34), and 10.9 (5.6–12.0) (n=15) months; and median OS: 20.2 (14.1–22.8) (n=71), 22.7 (14.1–not estimable) (n=34), and 20.2 (11.1–not estimable) (n=15) months. In cohorts A1 and A2, respectively, the most common any-grade and grade 3–4 treatment-related adverse events (TRAEs) were nausea (40.9% and 40.8%) and anemia (20.5% and 14.1%). Discontinuation rates due to TRAEs were 27.3% and 23.9%, respectively. Conclusions Nivolumab plus rucaparib is active in patients with HRD-positive postchemotherapy or chemotherapy-naïve mCRPC, particularly those harboring BRCA1/2 mutations. Safety was as expected, with no new signals identified. Whether the addition of nivolumab incrementally improves outcomes versus rucaparib alone cannot be determined from this trial. Trial registration number NCT03338790 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.073
GPT teacher head0.423
Teacher spread0.350 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

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Citations54
Published2022
Admission routes1
Has abstractyes

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