1196 TriTCE Co-stim: a differentiated T cell engager platform with conditional <i>cis</i> CD28 co-stimulation is transferable to diverse targeting strategies
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».