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ETCTN 10483: Phase Ib trial of erdafitinib (E) combined with enfortumab vedotin (EV) following platinum and PD-1/L1 inhibitors for metastatic urothelial carcinoma (mUC) with FGFR3/2 genetic alterations (GAs).

2025· article· en· W4407701764 on OpenAlexaff
Rohit Jain, Faustine Ong, Bishoy M. Faltas, Scott T. Tagawa, Di Jiang, Jazlyn Heiligh, Syeda Mahrukh Hussnain Naqvi, Youngchul Kim, Lorraine Pelosof, Yuanquan Yang, Laura Graham, Waddah Arafat, Timothy W. Synold, Monica Chatwal, Jingsong Zhang, Juskaran Chadha, Guru Sonpavde

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineMetastatic Urothelial CarcinomaUrothelial carcinomaUrothelial cancerOncologyInternal medicineCancer researchCancerBladder cancer

Abstract

fetched live from OpenAlex

808 Background: Erdafitinib (E) is an approved treatment in patients with mUCwith FGFR 3 GAs after progression on platinum-based chemotherapy (PBC). Enfortumab Vedotin (EV) is approved to treat patients with mUC following prior PBC and PD1/L1 inhibitors or as First-line therapy in combination with pembrolizumab. Retrospective studies suggest that the activity of EV is not compromised by FGFR 3/2 GAs. EV and erdafitinib have different mechanisms of activity and toxicities are mostly non-overlapping. Hence, there is rationale to evaluate the feasibility of combination EV and E, to overcome the difficulties of resistance and sequencing agents in mUC patients with FGFR 3/2 GAs. Methods: This is an ongoing, single arm, multicenter, Phase I, 3+3 design dose-escalation and expansion study of E+ EV combination evaluating the safety, tolerability, PK, and antitumor activity in patients with mUC harboring FGFR3/2 GAs who have progressed after platinum and/or PD1/L1 inhibitor therapies. Dose escalation phase aims to identify the maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D) of EV in combination with fixed dose of E at 8 mg/day (table). Results: As of data cutoff, 9 patients were enrolled and completed dose limiting toxicity (DLT) period (1 st cycle) in the dose-escalation phase. Six patients were enrolled at DL1 with 1 DLT (skin rash) and 3 at DL2 (no DLT). The most common all grade treatment-related adverse events (TRAEs) included hyperphosphatemia (88%), mucositis (88%), high AST (88%), hypercalcemia (75%), palmar plantar erythrodysesthesia (75%), peripheral neuropathy (75%), alopecia (63%), diarrhea (63%), hypoalbuminemia (63%) and hypomagnesemia (63%). Grade 3 TRAEs included palmar plantar erythrodysesthesia (50%), anemia (17%), rash (17%), anorexia (17%) and paronychia (17%). One patient developed grade 4 Stevens-Johnson syndrome related to EV which subsequently improved. PK data are available for all 6 patients in DL1. The average steady-state Cmin of E and MMAE was 1430 ± 639 ng/mL and 1.4 ± 0.9 ng/ml, respectively, and the average Cmax of MMAE was 3.9 ± 0.9 ng/mL at DL1. All 9 patients are evaluable with 100% best objective rate, including 8 partial responses (PRs) and 1 complete response (CR). The mOS was NR (95% 17.1 months-NR), mPFS was 7.52 months (95% CT 5.55-NR) with median follow up of 22.7 months. The mDOR is 5.49 months. The RP2D of EV is 1.25 mg/kg in combination with E at 8 mg/day. Conclusions: E+EV combination is feasible and preliminarily exhibits promising antitumor activity. Dose expansion is ongoing at RP2D dose of EV with E. Clinical trial information: NCT04963153 . Dose Level (DL) Dose Cycle Length E EV Level -1 8 mg PO QD 0.75 mg/kg IV (maximum dose 75 mg) D1,8,15 28 days Level 1 8 mg PO QD 1 mg/kg IV (maximum dose 100 mg) D1,8,15 Level 2 8 mg PO QD 1.25 mg/kg IV (maximum dose 125 mg) D1,8,15

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 score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
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 head0.073
GPT teacher head0.443
Teacher spread0.369 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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