Abstract B035: Enhancing antitumoral activity of cell-based immunotherapies by modulating the JAK-STAT axis
Notice bibliographique
Résumé
Abstract Mounting a T helper 1 (Th1) type of response is required for the successful priming of antigen specific CD8 T-cells which ultimately lead to effective antitumoral responses. Several cellular components of the immune system participate of the Th1 decision-making process. They include innate cells sensing the transformed cells, mainly dendritic cells (DCs), and the further involvement of antigen specific CD4 T-cells promoting direct activation of CD8 T-cells through cross-presentation (1). The correct stimulation of DCs by type I interferons and molecular pattern sensors as STING is required to drive their differentiation to conventional DC 1 (cDC1) which through the secretion of large amounts of IL-12 and the expression of CD40 skew the CD4 T-cells differentiation to Th1 (2). However, this system is sensitive to modifications of the tumor cytokine microenvironmen,t leading to failure. Adoptive cell transfer (ACT) cancer immunotherapies are promising treatments for advanced malignancies. These therapies attempt to supply key cellular actors missing and induce proper antitumoral immunity. They include mainly the in vitro modification of autologous cells, from DCs loaded with tumor antigens to the expression of chimeric antigen receptor (CAR) on T and NK cells. Constant development of these technologies has given successful results as clinical trials have already showed up to 90 % of complete remission in relapsed/refractory B cell acute lymphoid leukemia (B-ALL) (3), treatment now approved for commercial use. However, there is still lack of consistency in the responses obtained from different individuals and in different trials. Previously our laboratory has already shown that modulation of the JAK-STAT inhibitory protein tyrosine phosphatases (PTPs), PTPN1 and PTP-N2, enhance proinflammatory type I interferon signalling while decreases the effects of immunosuppressive cytokines acting through STAT3 signaling (4, 5). Specifically, we have demonstrated that partial inhibition of these phosphatases in immune cells enhances the secretion of IL-12p70 by DCs[6] and increases the cytotoxic activity of antigen specific CD8 T-cells [Pérez-Quintero LA, Tremblay ML, unpublished results]. Moreover, the partial inhibition of these phosphatases in CD8 T-cells enhance the acquisition of a central memory (Tcm) phenotype, which has been found to be associated with better remission in CAR-T-cells therapies. Nevertheless, alternative methods to enrich this phenotype, as cytokine cocktails, have proven expensive and ineffective. Having this in mind, we propose here the use of small-molecule inhibitors specific for PTPN1 and PTPN2 as a simple and cost-effective method to enhance antitumoral responses. By treating ex vivo the cellular products in animal models for DCs and CD8 ACT therapies we show, as a proof of concept, a marked improvement on the reduction of tumor burden and remission, with the late goal of translating these findings into a clinical setup. References: 1. Gajewski TF, Schreiber H, Fu YX. Innate and adaptive immune cells in the tumor microenvironment. Nature Immunology 2013;14:1014. 2. Theisen D,Murphy K. The role of cDC1s in vivo: CD8 T-cell priming through cross-presentation [version 1]. 2017;6. 3. Oluwole OO,Davila ML. At The Bedside: Clinical review of chimeric antigen receptor (CAR) T-cell therapy for B cell malignancies. Journal of Leukocyte Biology 2016. 4. Pike KA, et al. Protein tyrosine phosphatase 1B is a regulator of the interleukin-10–induced transcriptional program in macrophages. Science Signaling 2014;7(324): ra43-ra43. 5. Pike KA, et al. TC-PTP regulates the IL-7 transcriptional response during murine early T-cell development. Scientific Reports 2017;7(1):13275. 6. Penafuerte C, et al. Downregulation of PTP1B and TC-PTP phosphatases potentiate dendritic cell-based immunotherapy through IL-12/IFNγ signaling. OncoImmunology 2017;6(6):e1321185. Citation Format: Luis Alberto Perez-Quintero, Kelly Anne Pike, Penafuerte Claudia, Michel Tremblay. Enhancing antitumoral activity of cell-based immunotherapies by modulating the JAK-STAT axis [abstract]. In: Proceedings of the Fourth CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; Sept 30-Oct 3, 2018; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2019;7(2 Suppl):Abstract nr B035.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,000 |
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 tête enseignante, 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 ».