588 Selective inhibition of Diacylglycerol kinase zeta exhibits increased T cell activation and anti-tumor immunity, demonstrating pharmacodynamic proof of mechanism in the FIH trial of BAY2965501
Notice bibliographique
Résumé
Background T cell checkpoint blockade has revolutionized cancer treatment, however, transformative clinical responses continue to be observed in only a subset of patients and tumor indications. Inherently, the finite capacity of a patient’s immune system to recognize tumor mutations as foreign antigens is a well-established factor limiting the benefit of immunotherapy. Diacylglycerol kinases zeta (DGKζ) and alpha, are expressed in T cells and play a key role modulating the intensity of T cell receptor (TCR) signaling. Through phosphorylation of the critical secondary messenger diacylglycerol (DAG) to form phosphatidic acid, DGKs act as intracellular checkpoints attenuating T cell activation and limiting recognition of tumor antigens. Preclinically, BAY2965501 has been shown to inhibit DGKζ enhancing T cell activation and resistance to immune suppression. These effects lead to improved anti-tumor activity in vitro and in vivo syngeneic mouse tumor models as a monotherapy and in combination with anti-PD-1. Thus, selective blocking of DGKζ could represent an attractive strategy to overcome the limitations of first generation immunotherapies.Methods BAY2965501 is being investigated in a FIH dose-escalation and expansion study ( NCT05614102) to evaluate safety, pharmacokinetics and pharmacodynamics, in patients with solid tumors as a monotherapy and in combination with anti-PD-1 antibody pembrolizumab. In addition, a major objective of the study is to establish proof of mechanism (PoM) and determine if DGKζ inhibition has the potential to expand anti-tumor immune responses in patients. To achieve this, the ability of BAY2965501 to enhance TCR signaling, increase T cell function and activation along with modulating the TCR repertoire was evaluated in peripheral blood (n=>100) and tumors (n=>25) across >100 patients in monotherapy and PD-1 combination cohorts.Results Treatment with BAY2965501 achieved exposures above the preclinically defined EC50 necessary for immunologically relevant enhancement of T cell function. This resulted in a dose dependent modulation of TCR signaling as measured by increased ERK phosphorylation and cytokine production in ex vivo assays. Peripherally, patients also showed >2-fold increase in in-situ T cell activation (Ki67+) compared to baseline levels. BAY2965501-induced T cell activation coincided with expansion of newly detected T cell clones both in monotherapy and anti-PD-1 combination as measured by TCRseq. In evaluable paired biopsies, >50% of patients demonstrated >2-fold increase of T cell infiltration/activation confirming DGK inhibition dependent changes in anti-tumor immunity.Conclusions BAY2965501 demonstrates pharmacodynamic PoM in monotherapy and combination, providing evidence that specific inhibition of DGKζ in patients is sufficient to modulate anti-tumor immunity.Acknowledgements Acknowledgments: BAY2965501 DGKz trial 21948 investigators and their patients that participated in the trial and provided samples for this analysisEthics Approval Data from This abstract was collected as part of clinical study NCT05614102 and has received regulatory approval from respective countries and IRBs of respective institutions participating in the trial
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».