Abstract A020: Neutralizing oxidative damage at telomeres prevents T cell dysfunction and improves adoptive cell therapy
Notice bibliographique
Résumé
Abstract Background: Failure of adoptive cell therapies (ACTs) is associated with insufficient persistence within the patient, inability to infiltrate tumor sites, and cell-intrinsic loss of functionality. One of the key factors responsible for T cell dysfunction are metabolic barriers such as nutrient competition, low oxygen tension and damaging byproducts in the tumor microenvironment. This leads to a T cell metabolic deregulation affecting their ability to find and kill cancer cell targets properly and effectively. Therefore, elucidating the metabolic pressures experienced in the TME could provide new therapeutic targets to improve ACTs. Reactive Oxidative Species (ROS) accumulation in the TME have detrimental effects on T cell function and anti-tumor response, although the precise targets of ROS are unclear. There are accumulating data showing that mitochondrial ROS can have profound effects on the telomere status of cells. However, there is little evidence describing the role or oxidative stress on telomere health, or the importance of telomere function in immune cells. Our current study demonstrates that tumor infiltrating lymphocytes (TIL) accumulate DNA damage at telomeres, most prominently in terminally exhausted T cells. Furthermore, inducing ROS accumulation at telomeres alone drives T cell dysfunction. Importantly we discovered that alleviating ROS specifically at telomeres improves the response to adoptive cell therapies in a mouse tumor model. Methods: In this study we perform telomeric and centromeric FISH assays to analyze TIL for DNA damage accumulation. We used a chemo-optogenetic FAPS-TAPS to generate singlet oxygen and consequent 8-oxo-guanine lesions specifically at telomeres.1 We tethered the antioxidant protein GPX1 to TRF1, subunit of the Shelterin Complex at telomeres, to generate a telomere-guided ROS scavenger. Results: Telo-FISH analysis demonstrates an accumulation of telomeric DNA damage in TIL from B16 mouse tumors shown by the presence of 53BP1 and ƔH2AX at telomeres. Our data show that mitochondria and telomeric ROS cause the accumulation of DNA damage at telomeres, as well as the development of telomere fragility. These cells ultimately become dysfunctional showing a diminished capability for cytokine production. Importantly, localizing the ROS scavenger GPX1 directly to telomeres reduced telomere fragility and improved the function of therapeutic T cells in the B16 melanoma. Conclusions: Our data suggest that dysfunctional T cells in cancer are not classically senescent, bearing short telomeres, but rather harbor damaged telomeres due to exposure to oxidative stress. Telomeric damage is sufficient to drive a dysfunctional state in newly activated T cells. Protecting telomeres through expression of a telomere-targeted antioxidant protein may preserve T cell function in the tumor microenvironment and drive superior responses to adoptive cell therapies. Citation Format: Dayana Rivadeneira, Sanjana Thosar, Victoria Dean, William Gunn, Konstantinos Lontos, Marcel Bruchez, Patricia Opresko, Greg Delgoffe. Neutralizing oxidative damage at telomeres prevents T cell dysfunction and improves adoptive cell therapy [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 A020.
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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 | 0,001 | 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 ».