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Record W4409631610 · doi:10.1158/1538-7445.am2025-7318

Abstract 7318: ZW209, a DLL3 targeted trispecific T cell engager with integrated CD28 co-stimulation, demonstrates safety and potent preclinical efficacy in models of small cell lung cancer

2025· article· en· W4409631610 on OpenAlexaff
Desmond W. M. Lau, Peter Repenning, Diana Canals Hernaez, Alec Robinson, Diego Perez Escanda, John H. Zhang, Catherine H. Wu, Kurt Stahl, Nichole Escalante, Mariana C. Rocha, Begonia Silva Moreno, Lisa Newhook, Purva Bhojane, Paul A. Moore, Nina E. Weisser, Thomas Spreter von Kreudenstein

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsZymeworks (Canada)
Fundersnot available
KeywordsMedicineStimulationCancerCellCancer researchCo-stimulationPharmacologyOncologyT cellCD28BiologyInternal medicineImmunologyImmune systemBiochemistry

Abstract

fetched live from OpenAlex

Abstract Small cell lung cancer (SCLC) is a highly aggressive and difficult-to-treat malignancy with limited treatment options. Delta-like ligand 3 (DLL3), a cell surface protein overexpressed in SCLC, has emerged as a promising therapeutic target. Bispecific T cell engagers (TCE) targeting DLL3, including tarlatamab which has received accelerated approval, have demonstrated anti-tumor activity in the clinic with an improved duration of response compared to current standard of care, including chemotherapy and immunotherapy. Despite these advances, we believe there is opportunity to improve the rate and depth of response as the clinical activity of bispecific T cell engagers may be limited by low T cell infiltration and poor T cell function characteristic of SCLC tumors, and by the emergence of treatment-related T cell anergy due to T cell stimulation via signal 1 (CD3) only. The incorporation of signal 2 co-stimulation, via CD28 signaling, has the potential to improve response rates by stimulating increased T cell activation, proliferation and survival. To address treatment challenges and enhance the durability and sustainability of T cell activation, we engineered ZW209, a trispecific co-stimulatory T cell engager (TriTCE Co-stim) that optimally engages CD3 and CD28 and redirects and enhances cytotoxic T cell responses to DLL3-expressing tumor cells while maintaining a desired safety profile. Our development candidate, ZW209, is designed to optimally engage CD3 and CD28 in an obligate cis manner, supported by a lack of T cell cross-linking and fratricide. The addition of CD28 co-stimulation in ZW209 demonstrated enhanced DLL3-dependent cytokine induction and T cell proliferation with improved antitumor activity relative to clinical bispecific TCEs benchmarks. In a serial, repeated challenge in vitro cytotoxicity assay, ZW209 displayed superior T cell fitness and anti-tumor activity to a bispecific control and clinical benchmark. In vivo, ZW209 exhibited potent anti-tumor activity in multiple humanized SCLC xenograft models. In aqueous and solid phase cytokine release assays, ZW209 exhibited minimal DLL3-independent cytokine production. Importantly, a ZW209 cynomolgus cross-reactive surrogate molecule displayed a favorable safety profile as it was well tolerated in non-human primates with repeat dosing at 10 mg/kg with no abnormal clinical signs. In summary, these preclinical data support that ZW209 promotes improved anti-tumor activity against DLL3-positive cancer cells relative to competitor bispecific TCEs. By integrating CD28 co-stimulation into our trispecific T cell engager, ZW209 has the potential to improve the rate and duration of response for better clinical outcomes. Citation Format: Desmond Lau, Peter Repenning, Diana Canals Hernaez, Alec Robinson, Diego Perez Escanda, John Zhang, Hamed Shirvani, Catherine Wu, Kurt Stahl, Aditi Deshmukh, Nichole Escalante, Mariana Rocha, Begonia Silva Moreno, Lisa Newhook, Purva Bhojane, Paul A. Moore, Nina E. Weisser, Thomas Spreter von Kreudenstein. ZW209, a DLL3 targeted trispecific T cell engager with integrated CD28 co-stimulation, demonstrates safety and potent preclinical efficacy in models of small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7318.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.090
GPT teacher head0.425
Teacher spread0.335 · 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 designBench or experimental
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

Citations1
Published2025
Admission routes1
Has abstractyes

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