Abstract PR02: Tumor sequestered, neoantigen specific T cells are dynamically increased in circulation following neoadjuvant immunotherapy
Notice bibliographique
Résumé
Abstract Improved recurrence free survival is observed following neoadjuvant immune checkpoint blockade (ICB), but the mechanisms underlying this clinical benefit are incompletely understood. To gain insights into changes in the tumor microenvironment (TME) that occur following ICB, we performed paired single-cell transcriptomic and T cell receptor (TCR) RNA sequencing on sorted tumor infiltrating T-lymphocytes before and after neoadjuvant treatment of patients with newly diagnosed oral carcinoma with bintrafusp alfa, a bifunctional PD-L1 mAb and TGF-b neutralizing construct. Analysis of pre- and post-treatment TIL with identical TCRs allowed characterization of changes within individual clonotypes after treatment. The addition of deep TCRb complimentary determining region 3 (CDR3) sequencing of peripheral T cells allowed assessment of dynamic changes in individual T cell clonotypes between the tumor and peripheral blood. Within the TME, multiple clearly defined clusters of CD8+ and CD4+ T cells with distinct transcriptional profiles were observed, including T cells expressing activation, exhaustion, and tissue-resident markers (exhausted) as well as T cells expressing progenitor and memory markers (memory). Multiple TCRs from clonotypes observed to be present in the exhausted and memory compartments were cloned for study of their antigen specificity. Putative neoepitopes were synthesized following in silico prediction of putative mutation derived neoantigens. Several TCRs from the exhausted compartment were specific for mutation-derived neoantigens. Conversely, TCRs from the memory compartment were specific for common viral antigens. With treatment, exhausted tumor-specific T cells transitioned between different exhausted clusters and some transitioned into a proliferating cluster and expanded in number. Expression of genes associated with TCR signaling and glycolysis increased in exhausted clonotypes that expanded with treatment. Expression of GLS, a key gene associated with glutaminolysis, associated with clonotypes that did not expand with treatment. Study of the peripheral blood revealed that CDR3 sequences matching exhausted, tumor specific TCRs from the TME were not detected or detected at very low frequencies prior to treatment. However, detected of CDR3 sequences matching exhausted, tumor specific TCRs from the TME significantly increased after treatment. CDR3 sequences matching memory, viral specific TCRs from the TME were detected at high levels in the peripheral blood prior to treatment, did not significantly change with treatment. Thus, neoadjuvant immunotherapy appears to expand exhausted, tumor specific T cells in the TME and results in increased frequency of these T cells in circulation. These data imply that tumor specific T cells may be largely sequestered into tissues, such as the tumor and possibly draining lymph nodes, in patients with newly diagnosed oral carcinoma and that surgical removal of disease without the use of neoadjuvant immunotherapy may remove a significant proportion of the patient’s anti-tumor T cell immunity. Citation Format: Cem Sievers, Marco Craveiro, Jason Redman, Clint T. Allen. Tumor sequestered, neoantigen specific T cells are dynamically increased in circulation following neoadjuvant immunotherapy [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PR02.
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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».