Abstract 384: T cell infiltration into tumors induced by DPX-Survivac combination immunotherapy demonstrated by PET/MRI imaging in an orthotopic ovarian cancer model
Notice bibliographique
Résumé
Abstract Introduction: Epithelial ovarian cancers are highly aggressive and often diagnosed at late stages. To date, a limited number of these patients benefit from immunotherapies, and recurrent ovarian cancer remains an area of unmet medical need. Novel immunotherapies that generate and drive activated T cells into tumors, such as DPX-Survivac, represent a promising approach. To better understand the underlying mechanisms of action of this novel immunotherapy and how it may correlate with clinical outcomes, we used an orthotopic ovarian cancer model and a dual approach using molecular imaging to track immune cells in vivo followed by biological assays. Methods: Humanized transgenic mice (HLA-A2.1-/HLA-DR1; H-2 class-I/II knockout) were implanted with 104 syngeneic mouse ovarian surface epithelial cells in the left ovarian bursa and were either untreated or treated with DPX-Survivac, intermittent low dose cyclophosphamide and anti-PD-1. The CD8+ cytotoxic T cells (CTLs) and myeloid cells (MCs) were isolated from disease matched mice, cultured in vitro, loaded with superparamagnetic iron oxide (SPIO) nanoparticles, and injected i.v. in recipient mice. The next day, recipient mice were injected with 500µCi of 18F-fluorodeoxyglucose and imaged by magnetic resonance (MRI) and positron emission tomography (PET). Anatomical images and tumor volumes were collected with a balance steady-state free precession sequence, cells were semi-quantified using R2* maps from a multi-echo single point imaging sequence (TurboSPI) and tumor metabolism was assessed by simultaneous acquisition of PET. Mice were imaged days 41, 49, and 56 post-implant. CTLs and MCs were characterized by flow cytometry (FC) before injection into recipient mice. Following imaging completion, tumors and lymph nodes (LN) were assayed for tumor infiltrating lymphocytes. Ascites were analyzed for tumor cell to lymphocyte content by FC. Results: PET/MRI images showed that the combination immunotherapy significantly decreased primary tumor burden and improved survival rates. The recruitment of isolated CTLs and MCs was detected in both tumors and LNs. CTL recruitment to tumors was increased in mice receiving combination immunotherapy while MCs recruitment was decreased. CTLs were recruited at a higher rate to the DPX-Survivac draining LN than tumor draining LN and MCs were equally recruited to both. The expression of checkpoint inhibitor molecules on CTL did not appear to vary with treatment. CTLs from treated mice expressed higher rates of Ki67 (a proliferative marker) than CTLs from untreated mice. The treatment increased the lymphocyte:tumor cell ratio within the tumors of treated animals and included a population of CD8/CD4 double positive (DP) T cells. Differences in tumor infiltrating lymphocyte phenotype correlated with tumor burden. Conclusions: DPX-Survivac combination immunotherapy induces the recruitment of CD8+ T cells into tumors, resulting in tumor control in an orthotopic ovarian cancel model. Citation Format: Marie-Laurence Tremblay, Caitrin Sobey-Skelton, Hailey Wyatt, Victoria Gonzalez, Andrea Nuschke, Christa Davis, Alecia Mackay, Kim Bobbit, Andrea West, Barbara Vanderhyden, Genevieve Weir, Alexandra Merkx-Jacques, Kimberly Brewer, Marianne Stanford. T cell infiltration into tumors induced by DPX-Survivac combination immunotherapy demonstrated by PET/MRI imaging in an orthotopic ovarian cancer model [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 384.
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 | 0,000 | 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 | 0,000 |
| 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 ».