Abstract A011: Targeting the FES tyrosine kinase in antigen presenting cells to enhance anti-tumor cytotoxic lymphocyte responses
Notice bibliographique
Résumé
Abstract For cytotoxic lymphocytes (CTLs) to effectively kill cancer cells, inflammatory signals from antigen presenting cells (APCs) are required. Targeting the signaling pathways that regulate production of these inflammatory cytokines represents an exciting strategy to bolster CTL activation in the context of cancer immunotherapy. Achieving optimal levels of CTL activation is critical to the success of immunotherapy treatments. Compelling advancements in CTL therapies including CAR-T cells and immune checkpoint inhibitors are showing great promise for improving patient outcomes. However, enhancing the innate immune system’s ability to strengthen anti-tumor CTL immune responses has been explored to a lesser extent. We intend to fill this gap by studying the APC-intrinsic role of the non-receptor tyrosine kinase FES in regulating the production of inflammatory cytokines. The first evidence of FES’s potential immune regulating role came from observations of increased lipopolysaccharide (LPS) sensitivity in fes-null mice. A transgenic mouse model of breast cancer expressing activated HER2/Neu in the mammary glands showed delayed tumor onset in mice targeted with a fes mutation that catalytically inactivated FES; and this delay correlated with increased immune infiltration and inflammation in pre-malignant mammary tissue. Previous studies have implicated FES in the activation of the SHP-2 phosphatase in macrophages, which can suppress toll-like receptor (TLR) pathways. TLR pathways govern strong innate inflammatory responses, including the expression of the so-called signal 3 cytokines required for full CTL activation (e.g. IL-12, IFNα/β). We therefore hypothesized that disrupting FES in APCs will relieve suppression of inflammatory cytokine production pathways, leading to increased CTL activation and cancer cell cytotoxicity. To investigate the impact of FES disruption on inflammatory signaling cascades, immunoblotting analysis of proteins in these signaling pathways was conducted on LPS-stimulated fes−/− and WT mouse bone marrow derived macrophages or dendritic cells. qRT-PCR was used to measure inflammatory cytokine transcript levels, including IFNα/β, IL-12, IL-1β and TNFα. To compare the ability of WT and fes−/− macrophages to present antigen and activate CTLs, OT-1 CTLs were co-cultured with OVA-presenting WT or fes−/− macrophages; and then evaluated by flow cytometry for IFNγ production. Evidence of increased activation of downstream mediators of TLR signaling including NFκB and TBK1 were seen in fes−/− macrophages and dendritic cells post LPS stimulation. fes−/− macrophages displayed increased inflammatory cytokine mRNA production in response to LPS stimulation. Finally, CTLs showed increased IFNγ expression when co-cultured with LPS-stimulated fes−/− macrophages compared to WT macrophages, indicating a higher degree of activation by fes−/− macrophages. The immunosuppressive function of FES makes it an actionable target for improving the efficacy of cancer immunotherapies and anti-cancer adaptive immune responses. Citation Format: Natasha Dmytryk, Brian Laight, Peter Greer. Targeting the FES tyrosine kinase in antigen presenting cells to enhance anti-tumor cytotoxic lymphocyte responses [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A011.
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 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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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) | 0,000 | 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 ».