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PrE0807: A phase Ib feasibility trial of neoadjuvant nivolumab (N) without or with lirilumab (L) in cisplatin-ineligible patients (pts) with muscle-invasive bladder cancer (MIBC).

2021· article· en· W3169728670 on OpenAlexfundno aff
Petros Grivas, Jun Yin, Vadim S. Koshkin, Suzanne Cole, Rohit Jain, Robert Dreicer, Jeremy Cetnar, Debasish Sundi, Benjamin A. Gartrell, Matt D. Galsky, Colin M Sievers, Noah M. Hahn, Michael A. Carducci

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
FundersBristol-Myers Squibb Canada
KeywordsMedicineCisplatinCystectomyCohortBladder cancerUrologyInternal medicineOncologyNeoadjuvant therapyClinical endpointNivolumabChemotherapyGastroenterologyCancerRandomized controlled trialImmunotherapy

Abstract

fetched live from OpenAlex

4518 Background: Neoadjuvant cisplatin-based chemotherapy (CT) prior to radical cystectomy (RC) improves overall survival (OS) in MIBC, but about half of pts are cisplatin-unfit or refuse it. Neoadjuvant immune checkpoint inhibitors can induce high pathologic complete response rate (ypT0N0). The combination of anti-PD-1 (N) and anti-KIR (L) is hypothesized to be safe and have significant activity based on the complementary and possibly synergistic roles in regulating adaptive and innate immune response in MIBC. Methods: This is a phase Ib multi-institutional trial in pts with localized MIBC treated with 2 neoadjuvant doses (4 weeks apart) of N alone (480 mg) in cohort 1 or N (480 mg) + L (240 mg) in cohort 2 prior to RC without adjuvant therapy (NCT03532451). Cohorts were enrolled sequentially and were not randomized. Key eligibility criteria included stage cT2-4aN0-1M0, ≥20% tumor content at TURBT and cisplatin-ineligibility (Galsky criteria) or refusal. Primary endpoint was safety manifested as rate of ≥G3 treatment related adverse events (TRAE) assessed in each cohort with CTCAE v5.0. Key secondary endpoints included the % of pts who had RC > 6 weeks after last neoadjuvant dose due to TRAE, CD8+ T cell density at RC, ypT0N0 and < ypT2N0 rates, CD8+ T cell density change between TURBT and RC, recurrence-free survival (RFS) and biomarkers in tumor tissue, blood and urine. Results: Among 43 pts enrolled (13 cohort 1, 30 cohort 2), median age was 75 (51-89), 67% were men, all had PS ECOG 0-1. Pts were cisplatin-ineligible due to impaired renal function (47%) and hearing loss (37%), while 14 % refused cisplatin. At baseline, 37 pts had cT2 stage, 2 had cN1 and 3 cNx. In cohort 1 and 2, 13 and 29 pts, respectively, completed intended neoadjuvant treatment, and 41/43 underwent RC (12/13 cohort 1, 29/30 cohort 2). One pt progressed to metastatic disease prior to RC (cohort 1) and 1 withdrew consent prior to being treated (cohort 2). Additionally, 1 patient was found to have cervical cancer at RC. Median time from last neoadjuvant dose to RC was 27 (95%CI: 24-29) days. There was no RC delayed > 6 weeks from treatment completion due to TRAE. G3 TRAEs occurred in 0% with N and 6.7% (90%CI 1.2-19.5%) in N+L (1: arthralgia, 1: gout, 2: hip pain) that all resolved. No G4/5 TRAEs occurred. Of 40 pts with MIBC and RC, ypT0N0 rates for N and N+L were 8% and 18%, while < ypT2N0 rates were 17% and 29%, respectively. Data on RFS and OS, and biomarker data were not yet mature. Conclusions: Neoadjuvant N alone and N+L combination prior to RC were safe, feasible and well tolerated in cisplatin-ineligible pts with MIBC, but ypT0N0 rates were unexpectedly low, especially with N alone. Two phase 3 trials (NCT03661320; NCT04209114) are evaluating the peri-operative role of N + chemotherapy +/- Linrodostat in cisplatin-fit and N +/- Bempeg in cisplatin unfit patients and are also assessing biomarkers. Clinical trial information: NCT03532451.

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)0.002
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.002

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.

Opus teacher head0.136
GPT teacher head0.486
Teacher spread0.349 · 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

Citations19
Published2021
Admission routes1
Has abstractyes

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