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CheckMate 9KD cohort A1 final analysis: Nivolumab (NIVO) + rucaparib for post-chemotherapy (CT) metastatic castration-resistant prostate cancer (mCRPC).

2021· article· en· W3172653524 on OpenAlexafffund
Russell K. Pachynski, Margitta Retz, Jeffrey C. Goh, Mauricio Burotto, Gwénaëlle Gravis, Daniel Castellano, Aude Fléchon, Stefanie Zschaebitz, David R. Shaffer, Juan Carlos Vázquez Limón, Marc‐Oliver Grimm, Steven McCune, Neha P. Amin, Jia Li, Xuya Wang, Keziban Ünsal-Kaçmaz, Fred Saad, Daniel P. Petrylak, Karim Fizazi

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersBristol-Myers Squibb Canada
KeywordsMedicineEnzalutamideInternal medicineProstate cancerOncologyPARP inhibitorNivolumabCohortClinical endpointDocetaxelTaxaneCancerClinical trialImmunotherapyPoly ADP ribose polymeraseBreast cancerAndrogen receptor

Abstract

fetched live from OpenAlex

5044 Background: CheckMate 9KD is a phase 2 trial of NIVO (anti-PD-1) combined with either rucaparib, docetaxel, or enzalutamide for mCRPC. PARP inhibitors, like rucaparib, increase cellular DNA damage, particularly in tumors with DNA repair defects, leading to genomic instability and cell death. This DNA damage promotes immune priming and adaptive PD-L1 upregulation. Consequently, dual PD-(L)1 and PARP inhibition is a plausible therapeutic strategy for mCRPC. We report final results for cohort A1 (NIVO + rucaparib for post-CT mCRPC) of CheckMate 9KD. Methods: Cohort A1 enrolled patients (pts) with post-CT mCRPC (1–2 prior taxane regimens), ongoing ADT, ≤ 2 prior novel hormonal therapies (abiraterone, enzalutamide, etc) for mCRPC, and no prior PARP inhibitor treatment. Pts received NIVO 480 mg Q4W + rucaparib 600 mg BID until disease progression/unacceptable toxicity (NIVO dosing limited to 2 yrs). Coprimary endpoints: objective response rate (ORR) per PCWG3 criteria and prostate-specific antigen response rate (PSA-RR; ≥ 50% PSA reduction) in all treated pts and pts with homologous recombination deficiency positive (HRD+) tumors, determined before enrollment. Secondary endpoints included radiographic progression-free survival (rPFS), overall survival (OS), and safety. Results: Of 88 treated pts, median age 66 yrs (range, 46–85), 34.1% had visceral metastases and 65.9% had measurable disease. Median follow-up was 11.9 mo. Pts had a median of 4.5 NIVO doses and 3.8 mo of rucaparib. The table summarizes primary and key secondary efficacy results, and shows better outcomes for HRD+ vs HRD–/not evaluable (NE) tumors. In pts with BRCA2 mutations, confirmed ORR was 37.5% (3/8 pts) and confirmed PSA-RR was 45.5% (5/11 pts). Any-grade treatment-related AEs (TRAEs) occurred in 93.2% of pts, most commonly nausea (40.9%) and fatigue (33.0%). Grade ≥ 3 TRAEs occurred in 54.5% of pts, most commonly anemia (20.5%) and neutropenia (10.2%). TRAEs led to discontinuation in 27.3% of pts. One pt had a stroke, considered related to rucaparib by the investigator, after 28 days on rucaparib and 2 NIVO doses and died 2 months later due to post-thrombolysis hematoma. Conclusions: NIVO + rucaparib is active in pts with HRD+ post-CT mCRPC, although the trial design and short follow-up limit assessment of benefits of the combination vs individual components. Pts with HRD– tumors did not appear to benefit from either drug. No new safety signals were observed with NIVO + rucaparib. Additional biomarker analyses are ongoing. Clinical trial information: NCT03338790. [Table: see text]

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.153
GPT teacher head0.503
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized 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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Citations13
Published2021
Admission routes2
Has abstractyes

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