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Pembrolizumab with favezelimab or vibostolimab for patients with bacillus Calmette-Guérin (BCG)–unresponsive high-risk (HR) non–muscle-invasive bladder cancer (NMIBC): Phase 2 KEYNOTE-057 cohort C.

2024· article· en· W4391303586 on OpenAlexaff
Girish S. Kulkarni, Shilpa Gupta, Andrea Necchi, Neal D. Shore, Hema Kishore Dave, Ekta Kapadia, Qing Zhao, Ashish M. Kamat

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicinePembrolizumabBladder cancerCohortBacillus (shape)OncologyInternal medicineUrologyCancerImmunotherapyMicrobiology

Abstract

fetched live from OpenAlex

TPS719 Background: In cohort A of the phase 2 KEYNOTE-057 study (NCT02625961), the PD-1 inhibitor pembrolizumab demonstrated antitumor activity (3-month complete response rate, 41%) in patients with BCG-unresponsive HR NMIBC with carcinoma in situ (CIS) ± papillary tumors who are ineligible for or declined radical cystectomy (RC). However, treatment combinations that improve outcomes and durability of response with pembrolizumab monotherapy are needed. Coinhibitory receptors LAG-3 and TIGIT contribute to immune tolerance in the tumor microenvironment, and co-blockade of PD-1 with LAG-3 or TIGIT has demonstrated antitumor activity in clinical studies. In cohort C of KEYNOTE-057, efficacy and safety of coformulations of pembrolizumab and the LAG-3 inhibitor favezelimab or the TIGIT inhibitor vibostolimab are being evaluated in patients with BCG-unresponsive HR NMIBC with CIS ± papillary tumors. Methods: Key eligibility criteria include adults with histologically confirmed HR NMIBC (CIS ± high-grade Ta or T1 at baseline) that is BCG-unresponsive (persistent or recurrent CIS ± Ta/T1 ≤12 month of completing adequate BCG therapy) who are ineligible for or declined RC and have an ECOG PS of 0-2. Enrollment is planned for 60 patients. Patients will be randomly assigned 1:1 to receive the coformulation of pembrolizumab 200 mg and vibostolimab 200 mg or the coformulation of pembrolizumab 200 mg and favezelimab 800 mg intravenously every 3 weeks for ≤35 cycles or until central pathology–confirmed ≥T1 at any time point, persistent or recurrent CIS or high-grade Ta at 24-week efficacy review or thereafter, unacceptable toxicity, patient or physician decision to withdraw, or administrative reasons to discontinue. Tumor assessment will be performed every 12 weeks for 2 years and every 24 weeks thereafter for up to 5 years. Primary end point is 12-month complete response rate of HR NMIBC by cystoscopy, cytology, biopsy, and radiologic imaging by central pathology and radiology review. Secondary end points include duration of response of HR NMIBC; overall complete response rate and complete response rates at 3 and 6 months; progression-free survival (PFS) to worsening of grade, stage, or death; PFS to muscle-invasive or metastatic disease or death; and overall survival. Efficacy will be evaluated in patients who receive ≥1 dose of treatment and have a baseline evaluation consisting of pre-enrollment cystoscopy, TURBT/biopsy, urine cytology, and baseline CTU imaging. Safety and tolerability will be evaluated in patients who receive ≥1 dose of treatment. Enrollment is ongoing in Asia, Australia, Europe, North America, and South America. Clinical trial information: NCT02625961 .

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.050
GPT teacher head0.426
Teacher spread0.377 · 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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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