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1196 TriTCE Co-stim: a differentiated T cell engager platform with conditional <i>cis</i> CD28 co-stimulation is transferable to diverse targeting strategies

2025· article· W4415898666 on OpenAlexaff
Chayne L. Piscitelli, Diego Perez Escanda, Lisa Newhook, Purva Bhojane, Anna von Rossum, Meghan M. Verstraete, Patricia Zwierzchowski, Wingkie Wong, Polly Shao, Nichole Escalante, Kesha Patel, Matteo Zago, Fisal Elstone, Yun Peng, Gursev Anmole, A K Tieu, David R. Kroeger, Peter Repenning, Desmond W. M. Lau, Diana Canals Hernaez, Alec Robinson, Mariana C. Rocha, Begonia Silva Moreno, John H. Zhang, Stella Kauryzhka, Genevieve Desjardins, Nicole Afacan, Paul A. Moore, Thomas Spreter von Kreudenstein, Nina E. Weisser

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2025
Typearticle
Language
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsZymeworks (Canada)
Fundersnot available
KeywordsT cellCD28CellT-cell receptorUbiquitin-Protein Ligases

Abstract

fetched live from OpenAlex

Background While bispecific T cell engagers (TCE) have demonstrated impressive clinical efficacy in B cell malignancies garnering multiple regulatory approvals, clinical progress in solid tumors and other cancers has proven more challenging due in part to the immunosuppressive environment and low T cell numbers in these settings. To overcome these challenges, we engineered a trispecific T cell engager platform with integrated CD28 co-stimulation (TriTCE Co-Stim) through exquisite optimization and function-forward screening. We previously showed that the TriTCE Co-stim platform provides a differentiated target-dependent antitumor activity and safety profile facilitated by conditional CD28 co-stimulation, requiring CD3 engagement and obligate cis T cell binding resulting in no target-independent T cell activation or T cell-T cell bridging.1 2 Here, we explore transferability of the TriTCE Co-Stim platform to improve anti-tumor activity and specificity via avidity-driven multivalent, logic-gated, and TCR mimetic (TCRm) targeting approaches.Methods Based on the TriTCE Co-stim platform scaffold, construct libraries comprising different tumor targeting paratopes from heme and solid tumor targets and format geometries were manufactured and screened using high-throughput methods. Cytotoxic activity was evaluated in co-culture assays at low effector cell:tumor cell (E:T) ratios and in repeat challenge assays using high-content imaging analysis. Safety was evaluated in pan T cell monocultures via cytokine release by MSD or T cell viability with CellTox TM Green, in T cell bridging assays by flow cytometry, and in T cell fratricide assays by high content imaging.Results TriTCE Co-Stim molecules were constructed and screened in multiple functional modalities and in all cases showed strict target-dependent cytotoxicity and no T cell-only activity in both heme and solid-tumors. We show that our TriTCE Co-Stim platform is compatible with avidity-driven selectivity against tumor targets with normal tissue expression liabilities and is extensible to alternative targets such as pMHC receptors.Importantly, all TriTCE Co-Stim molecules demonstrated superior antitumor activity compared to CD3-only bispecific TCEs in low E:T settings and in repeat-challenge assays, and maintained an enhanced safety profile including no T cell-T cell bridging, no T cell fratricide, and no reduction in T cell viability.Conclusions Our TriTCE Co-Stim technology, optimized via high-throughput screening, enables fine-tuning target-dependent activity across diverse modalities. We show it is highly transferable across indications and tumor targets and can be extended to novel avidity and tumor targeting solutions, like 2+1+1, logic-gated, and TCRm designs. This versatility broadens the utility of TriTCE Co-Stim to varied tumor settings and patient populations, while minimizing on-target off-tumor toxicities.References Lau Desmond, et al. 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. Cancer Res. 2025;85(8_Supplement_1):7318.Newhook, Lisa, et al. TriTCE Co-Stim: a next generation trispecific T cell engager platform with integrated CD28 costimulation, engineered to improve responses in the treatment of solid tumors. Cancer Res. 2024;84(6_Supplement):6719.

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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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".

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Citations0
Published2025
Admission routes1
Has abstractno

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