MétaCan
Menu
Back to cohort

Phase 1b portion of the ACTION-1 phase 1b/3 trial of RYZ101 in gastroenteropancreatic neuroendocrine tumors (GEP-NET) progressing after <sup>177</sup> Lu somatostatin analogue (SSA) therapy: Safety and efficacy findings.

2025· article· en· W4406868895 on OpenAlexaff
Jonathan Strosberg, Michael J. Morris, Gary A. Ulaner, Daniel M. Halperin, Samuel H. Mehr, Daneng Li, Heloisa P. Soares, Lowell Anthony, Sandy Kotiah, Heather A. Jacene, Margot Tesselaar, Pamela L. Kunz, Denis Vasconcelos Ferreira, Joanne Li, Kimberly Ma, Jessica Rearden, Susan Moran, Thomas A. Hope, Simron Singh

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicNeuroendocrine Tumor Research Advances
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineNeuroendocrine tumorsSomatostatinLanreotideInternal medicinePhases of clinical researchOncologyPhase (matter)Clinical trialCancer researchHormoneChemistry

Abstract

fetched live from OpenAlex

661 Background: RYZ101 ( 225 Ac-DOTATATE) is an alpha-emitting radiopharmaceutical in development for SSTR2+ solid tumors. Alpha-particles have a shorter path length/higher linear energy transfer than beta-particles, causing more frequent double-strand DNA breaks and potentially improving the therapeutic index. ACTION-1 (NCT05477576) is a two-part, global, randomized, controlled, open-label, phase 1b/3 trial of RYZ101 in advanced, well-differentiated SSTR+ GEP-NETs progressing after 177 Lu-SSA therapy. Herein, we report updated results from the phase 1b portion of the trial. Methods: The phase 1b portion of the ACTION-1 trial had a dose de-escalation/Bayesian optimal interval design with boundaries based on a dose-limiting toxicity (DLT) rate of 25%. Patients received RYZ101 IV every 8 weeks for 4 cycles. Planned dose levels (n=6/level): Level 0 (starting dose) 120 kBq/kg; Level 1 90 kBq/kg; Level 2 60 kBq/kg. DLTs were assessed for 56 days after the first RYZ101 dose. Treatment-emergent adverse events (TEAEs) were graded by NCI-CTCAE v5.0. A Data Review Committee oversaw dose de-escalation decisions/safety data. Tumor response was assessed locally by RECIST v1.1. Results: Seventeen patients received at least one dose of RYZ101 at 120 kBq/kg (4 doses: 15 patients; 2 doses: 2 patients; median 8.3 MBq). Baseline patient characteristics: median age 63 years; male (n=11); ECOG PS 0/1 (n=10/7); primary tumor site GI/pancreas (n=12/5). As of 14 December 2023, the most frequent TEAEs were anemia (58.8%), nausea (58.8%), and fatigue (52.9%). Serious adverse events (SAEs) were observed in 6 patients (35.3%, none were treatment-related); grade ≥3 TEAEs occurred in 9 patients (5 were treatment-related, 29.4%). No TEAEs led to treatment discontinuation. Four patients had TEAEs leading to dose modification, dose hold, and/or dose delays. There was one grade 5 TEAE of hepatic failure that was deemed unrelated to the study drug. The confirmed objective response rate was 29.4% (n=5; 1 complete response, 4 partial responses). One additional patient had an unconfirmed partial response at the time of data cutoff, which was subsequently confirmed. Seven patients (41.2%) had stable disease and 3 (17.6%) had progressive disease. The median duration of response was not estimable (95% CI 9.26 months, not estimable), and the median progression-free survival was not estimable (95% CI 12.16 months, not estimable). Conclusions: RYZ101 was well tolerated, and a fixed dose of 10.2 MBq was declared the recommended phase 3 dose. Initial data suggest promising efficacy and a manageable safety profile. Part 2 (phase 3) of the ACTION-1 trial is enrolling and will compare RYZ101 at 10.2 MBq every 8 weeks for 4 cycles with standard of care in patients with advanced SSTR2+ GEP-NETs progressing after 177 Lu-labeled SSAs. Clinical trial information: NCT05477576 .

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 score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
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 head0.073
GPT teacher head0.485
Teacher spread0.412 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicNeuroendocrine Tumor Research AdvancesFrench-language works237,207