Abstract 6437: Development of therapeutic vaccines against ovarian cancer
Notice bibliographique
Résumé
Abstract Epithelial ovarian cancer (EOC) has a devastating impact on the health of women and has not significantly benefited from advances in immunotherapy mainly because of the lack of well-defined actionable antigen targets. It is therefore essential to discover tumor-specific antigens (TSAs) that are specific to ovarian cancer, shared by a significant proportion of patients and capable of being targeted by the immune system. Using a groundbreaking method, we have previously identified 91 aberrantly expressed TSAs (aeTSAs), 18% of which were shared by at least 80% of the TCGA cohort (The Cancer Genome Atlas). These TSAs originate from unmutated non-exonic genomic sequences and their expression results from cancer-specific epigenetic changes. In the present study, our goal was to evaluate the immunogenicity of these aeTSAs. To do so, 49/91 antigenswere selected based on their presentation by high-frequency HLA allotypes (9 alleles included) and their expression in a large proportion of EOCs patients. Using functional in vitro expansion of naive CD8 T cells by co-culture with TSA-pulsed dendritic cells (DC) followed by CDR3 TCR sequencing, we first assessed the ability of aeTSAs in stimulating the immune system. Notably, 98% of our antigens were able to significantly expand CD8 T cell clonotypes, indicating that their repertoires are available for vaccination. In addition, tetramer staining of CD8 T cell populations after culture with TSA-pulsed DCs revealed that 32% of our aeTSAs tested (13/40) could expand specific CD8 T cells at levels that are detectable by flow cytometry. When selecting an optimal vaccination strategy, DC vaccines are particularly attractive. Using mass spectrometry to measure the abundance of TSAs presented at the cell surface, we next compared two modalities for engineering TSA-based DC vaccines: synthetic peptide pulsing vs TSA-encoding RNA minigenes transfection. Our preliminary results show that synthetic peptide pulsing leads to higher amounts of peptides presented at the surface of the dendritic cells compared to RNA minigenes electroporation. Moreover, we show a direct correlation between the abundance of peptides detected by MS immediately after pulsing on DCs and their predicted binding affinity. This correlation is not maintained with time (24h after pulsing), suggesting that the detection of peptides 24h post-pulsing is linked to the stability of peptide-MHC complexes rather than peptide binding affinity. In conclusion, we show that aeTSAs are attractive targets for EOC immunotherapy, as most of them can expand sizeable populations of CD8 T cells. We also reveal that direct pulsing of aeTSAs on DCs leads to better peptide presentation than RNA minigene transfection. These results are of capital importance, as optimal TSA presentation by DCs leads to stronger anti-tumor responses. We believe that our approach could have a significant impact on immunotherapy of EOC, and eventually of other cancer types. Citation Format: Leslie Hesnard, Catherine Thériault, Maxime Cahuzac, Chantal Durette, Krystel Vincent, Marie-Pierre Hardy, Gabriel Ouellet Lavallée, Joël Lanoix, Pierre Thibault, Claude Perreault. Development of therapeutic vaccines against ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6437.
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 ».