Abstract 752: A CCR4 antagonist combined with protein-or DNA-based vaccines efficiently breaks tolerance and elicits CD8+T cells directed against self and viral associated tumor antigens
Notice bibliographique
Résumé
Abstract Regulatory T cells (Treg) may impede vaccine efficacy in cancer. CCR4 antagonists, an emergent class of Treg inhibitor, have been shown to block recruitment of Treg into lymph node mediated by CCL17 and CCL22. As most tumor antigens are self antigens possibly controled by Treg, our aim was to demonstrate the ability of a CCR4 antagonist to induce CD8+T cells directed against various self tumor antigens. For this purpose we selected various transgenic mice expressing Her2/neu, E7 or OVA as self antigen. Protein based vaccine vectorized or not by the B subunit of Shiga toxin (a vector targeting dendritic cells) and a DNA based vaccine coding for the E7 protein derived from HPV were included in this study and tested in combination or not with the CCR4 antagonist. Induction of functional anti-self CD8+T cells could be observed against various model self antigens (Her2/neu, E7, OVA) only when protein (delivered via the B subunit of Shiga toxin) – or DNA-based vaccines were combined with the CCR4 antagonist. Antigen specific CD8+T cells were detected by Tetramer and Elispot assays. This strategy to block Treg was more efficient than cyclophosphamide and similar to the depletion of Treg by anti-CD25 mAb.However compared to mAb, the CCR4 antagonist has a short life time which may avoid potential autoimmune complication caused by long term blockade of Treg. In contrast to anti-CD25mAb and cyclophosphamide, the CCR4 antagonist did not modify the number or the percent of peripheral Treg. As only 20% of Treg in mice expressed CCR4, we further characterized this population and showed that it corresponded to memory (CC44high) activated (ICOS+) cells. Activation of CCR4 negative Treg led to upregulation of CCR4 on these cells. Since the targeting of only 20% of Treg expressing CCR4 was sufficient to break tolerance mediated by Treg, these results strongly suggest that these CCR4+Tregs represent an important population to be targeted to modulate T reg activity. In human, we showed that CCR4 is expressed by more than 70% of peripheral or intra-lymph node Treg. The previous demonstration that a CCR4 antagonist is efficient to block human Treg, together with the high expression of CCR4 in human Treg also provide some rationale to develop this new class of Treg inhibitor in human.Our vaccine combining an efficient antigen delivery system which targets dendritic cells (the B subunit of Shiga toxin) to a CCR4 antagonist able to break tolerance mediated by Treg during the priming phase may thus represent a prototype cancer vaccine to elicit potent functional anti-tumor CD8+T cells in the context of immunosuppression mediated by Treg in cancer patients Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 752. doi:10.1158/1538-7445.AM2011-752
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) | 0,003 | 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 ».