Abstract 7330: MDNA113: A tumor targeting and conditionally activated anti-PD1-IL2SK to enhance the therapeutic index
Notice bibliographique
Résumé
Abstract Background: To improve systemic tolerability of potent cytokines including anti-PD1/IL2 immunocytokines, conditional activation using tumor associated proteases have been gaining attention. MDNA113 (masked anti-PD1-IL2SK), a Bifunctional SuperKine for Immunotherapy (BiSKIT), offers key distinguishing features including (i) next-generation IL2 Superkine (IL2SK) with ‘β-enhanced not-α’ receptor selectivity, and (ii) a masking domain that also functions as a tumor targeting domain. MDNA113 incorporates an IL-13Rα2 selective IL13 superkine (IL13SK) that facilitates tumor targeting and promotes durable accumulation within IL-13Rα2 expressing tumors thereby amplifying activation and therapeutic activity at the tumor site. In addition, the IL13SK partially masks the IL2SK, sterically hindering its systemic activity to improve tolerability while maximizing localization and activity of anti-PD1-IL2SK within the tumor microenvironment (TME) which promotes synergy between IL2 receptor (IL-2R) agonism and immune checkpoint blockade by cis binding. Methods: IL-2R signaling and PD1/PD-L1 blockade were evaluated using in vitro cell based reporter assays and human PBMCs. Tolerability, pharmacodynamics, efficacy and mechanistic studies were conducted in mouse syngeneic tumor models. Results: MDNA113 demonstrated reduced IL-2R agonism while maintaining PD1/PD-L1 blockade compared to non-masked anti-PD1-IL2SK in cell-based assays. This was reflected in reduced p-STAT5 signaling in human CD8+T cells, accompanied by decreased PBMC proliferation. Upon in vitro cleavage by proteases, full IL-2R agonism was restored as intended. In mice, MDNA113 exhibited better tolerability than naked anti-PD1-IL2SK, correlating with reduced peripheral lymphocyte expansion. Systemic administration of MDNA113 showed comparable efficacy to anti-PD1-IL2SK in mouse syngeneic tumor models, consistent with the designed protease mediated activation of MDNA113 through release of the IL13SK mask within TME. Furthermore, MDNA113 achieved complete tumor regression in mice harboring IL-13Rα2 expressing solid tumors. These mice were also resistant to tumor growth when rechallenged with the same tumor antigen in the absence of any additional treatment, indicative of an underlying tumor specific memory response. Tumors from mice treated with a single dose of MDNA113 showed an elevated influx of CD8+GrzB+ T cells, consistent with synergy between IL-2R agonism and immune checkpoint blockade. In addition, MDNA113 demonstrated superior efficacy compared to single-agent anti-PD1 when tested in a neo-adjuvant setting in an orthotopic 4T1.2 triple negative breast tumor model. Conclusion: MDNA113 is conditionally active anti-PD1-IL2SK designed by leveraging IL13SK as a dual tumor targeting and masking domain for enhanced tolerability and robust efficacy in both therapeutic and neoadjuvant settings. Citation Format: Scott Rowlinson, Minh D. To, Qian Liu, Rosemina Merchant, Fahar Merchant, Aanchal Sharma. MDNA113: A tumor targeting and conditionally activated anti-PD1-IL2SK to enhance the therapeutic index [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 7330.
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) | 0,000 | 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».