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Design of a first-in-human multicenter open-label study of ZW171, a mesothelin x CD3 targeting bispecific T-cell engager, in participants with advanced solid tumors: ZWI-ZW171-101.

2025· article· en· W4410823212 on OpenAlexaff
Melissa L. Johnson, John Hamm, Fiona Thistlethwaite, Myung‐Ju Ahn, Erin L. Schenk, Jason J. Luke, Diana L. Hanna, Anna Minchom, Byoung Chul Cho, Rebecca Kristeleit, Dmitriy Zamarin, Catherine Davidson, Joseph Woolery, Martin Wermke

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsZymeworks (Canada)
Fundersnot available
KeywordsMesothelinMedicineSolid tumorCancer researchCD3Bispecific antibodyOncologyNuclear medicineInternal medicineCancerMonoclonal antibodyImmune systemImmunologyAntibody

Abstract

fetched live from OpenAlex

TPS3160 Background: Mesothelin (MSLN) is a membrane glycoprotein overexpressed in several solid tumors, making it a promising target for cancer treatments, including T cell engagers (TCEs). ZW171 is a humanized trivalent bispecific TCE antibody that targets a threshold level of MSLN expression with 2 binding sites and CD3e receptor on T cells with 1 binding site. Preclinical studies of ZW171 demonstrated favorable pharmacology, pharmacokinetics (PK), and toxicology, showing it preferentially kills MSLN-overexpressing cells, activates T cells without significant toxicity, inhibits tumor growth, and is well tolerated in cynomolgus monkeys, suggesting its potential for treating MSLN-expressing tumors 1 while sparing healthy tissues with low levels of expression. This first-in-human, phase 1, ongoing study (ZWI-ZW171-101) evaluates safety, tolerability, PK, and anti-tumor activity of ZW171 in participants with advanced solid tumors. Methods: This 2-part study enrolls eligible adult participants with unresectable MSLN-expressing ovarian cancer (OC), non-small cell lung cancer (NSCLC), or other MSLN-expressing cancers, with measurable disease per RECIST v1.1, ECOG PS score of 0 to 1, adequate organ function, and a minimum life expectancy of 12 weeks. Participants with additional progressing malignancies, recent transplants, clinically significant ongoing toxicity, uncontrolled renal, pancreatic or liver disease, or active autoimmune diseases requiring high-dose corticosteroids or immunosuppressive drugs are excluded. Part 1 evaluates the safety and tolerability of ZW171 and Part 2 evaluates the anti-tumor activity while continuing to evaluate safety and tolerability. Part 1 is dose escalation to identify maximum tolerated dose (using modified toxicity probability interval [mTPI-2] design, n=40) among participants with OC or NSCLC receiving subcutaneous ZW171 monotherapy on days 1, 8, and 15 of 3-week (21-day) cycles. Approximately 6 dose levels will be explored based on safety and tolerability. Step-up dosing will be used for cycle 1. Dose level 1, determined by QSP-based MABEL approach 2 , is administered at 4.2 µg (day 1), 12.6 µg (day 8), and 38.0 µg (day 15). Part 2 is dose expansion in participants with OC, NSCLC, and other MSLN-expressing cancers (MSLN expression evaluated retrospectively). Primary objectives are to evaluate safety and tolerability of ZW171 and determine the maximum tolerated dose. Key secondary objectives are to assess PK, anti-drug antibodies, and anti-tumor activity. This is a global study with sites in North America, Europe, and Asia; and actively enrolling participants into Part 1. References: 1. Afacan N, et al. Presented at AACR Annual Meeting 2023; abstract 2942. 2. Afacan N, et al. Presented at SITC Annual Meeting 2024; abstract 1062. Clinical trial information: NCT06523803 .

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)0.005
metaresearch head score (Gemma)0.002
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
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.005
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 head0.245
GPT teacher head0.526
Teacher spread0.280 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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