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Study EV-104: Phase 1 study of intravesical enfortumab vedotin for treatment of patients with non-muscle invasive bladder cancer (NMIBC)—Trial in progress.

2023· article· en· W4324136849 on OpenAlexaffabout
Ashish M. Kamat, Gary D. Steinberg, Brant A. Inman, Max R. Kates, Edward Uchio, Sima P. Porten, Morgan Rouprêt, Joan Palou Redorta, James W.F. Catto, Girish S. Kulkarni, Thomas Powles, Mark D. Tyson, Gabriel P. Haas, Yao Yu, Matthew Birrenkott, Yair Lotan

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersAstellas PharmaSeagen
KeywordsMedicineBladder cancerCystectomyTolerabilityPembrolizumabOncologyInternal medicineChemotherapyCarcinoma in situUrologyCancerAdverse effectImmunotherapy

Abstract

fetched live from OpenAlex

TPS582 Background: The majority of patients with bladder cancer present with non-muscle invasive disease (Chang 2016; Woldu 2017; Kates 2020; Li 2020). The standard of care for treatment of high risk NMIBC involves transurethral resection of the bladder tumor (TURBT) followed by intravesical Bacillus Calmette-Guerin (BCG) or chemotherapy. Although the response rate to BCG therapy is high, many patients recur within 1–5 years (Matulay JU 2021). For patients who have BCG unresponsive disease after adequate course of BCG, there are limited options. While radical cystectomy (RC) is still considered the standard of care, most patients are reluctant to undergo RC and their options are limited to intravesical chemotherapy or pembrolizumab. Enfortumab vedotin (EV) is an antibody-drug conjugate directed to Nectin-4, which is highly expressed in bladder tumors. In EV-301, a phase 3 study, EV showed an OS benefit vs chemotherapy in patients with locally advanced or metastatic urothelial carcinoma (la/mUC) who had previously received platinum-based therapy and a PD-1 or PD-L1 inhibitor (Powles NEJM 2021). Based on its demonstrated benefit in la/mUC, EV is currently being evaluated in earlier UC settings. The purpose of this study is to investigate the intravesical administration of EV for patients with NMIBC. Methods: EV-104 (NCT05014139) is a phase 1, open-label, multicenter, dose-escalation and dose-expansion study designed to evaluate the safety, tolerability, PK, and antitumor activity of intravesical EV in adults with high-risk BCG-unresponsive NMIBC (carcinoma in situ with or without papillary disease) who are ineligible for or refuse RC. The dose escalation part of the trial aims to identify the maximum tolerated dose (MTD) and/or recommended dose of intravesical EV. The dose expansion part will evaluate patients at the MTD or recommended dose and further characterize safety and antitumor activity of intravesical EV. The study treatment regimen will include an induction phase, where patients will receive intravesical EV weekly for 6 weeks followed by monthly maintenance for a total of 9 additional EV doses. Patients will be assessed for response every 3 months by cystoscopy and urine cytology, while on study. Safety and antitumor activity endpoints will be summarized using descriptive statistics. The study is currently enrolling in the US with additional sites planned in Canada and the EU. Clinical trial information: NCT05014139 .

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 score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.159
GPT teacher head0.510
Teacher spread0.351 · 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

Citations8
Published2023
Admission routes2
Has abstractyes

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