Abstract 1757: Characterizing novel immunomodulating interactions for potentiating HDAC3 inhibition in non-Hodgkin lymphoma
Notice bibliographique
Résumé
Abstract Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma and represents a highly heterogeneous and aggressive disease. Up to 40% of all DLBCL patients experience treatment failure after the standard immunochemotherapy R-CHOP. Defining novel therapeutic strategies is therefore a pressing need. Reduced acetylation at histone 3 lysine 27 (H3K27ac) represents a pathogenetic hallmark of DLBCL and selective histone deacetylase 3 inhibition (HDAC3i) has recently emerged as a viable strategy to reverse abnormal epigenetic signatures and induce strong anti-tumor effects by increasing H3K27ac. Despite this compelling rationale, the overall response remains suboptimal, suggesting unrecognized mechanisms of resistance. To unbiasedly uncover sensitizers, we performed a genome-wide CRISPR screen and identified knockout (KO) of the top candidate GNAS (encoding G-protein α subunit, Gαs) for sensitizing resistant DLBCL cells to HDAC3i. The sensitizing effects on reduced viable cell number were only observed in GNAS KO cells treated with HDAC3i, but not in the control cells (“synthetic lethality”). We have validated this sensitizing phenotype in multiple resistant cell lines including three human DLBCL cell lines and one mouse B-cell lymphoma cell line. Interestingly, we showed that the sensitization was not related to the canonical G-protein functions but to novel regulatory mechanisms in viral mimicry activation and chromatin modification. Compared with the control conditions, the interaction between GNAS KO and HDAC3i has been linked with differential chromatin accessibility and endogenous retrovirus expression, upregulated double-stranded RNA expression, and increased phosphorylation of TBK1 whose activation plays a vital role in antiviral immune responses. Strikingly, a selective TBK1 degrader completely and specifically rescued the sensitizing phenotype in GNAS KO cells treated with HDAC3i, confirming the critical role of TBK1 in inducing sensitization. Furthermore, we identified potential immune interactions by exploring the clinical data from tumor samples of 309 DLBCL patients that low GNAS expression was correlated with cytokine and inflammatory signaling as well as stromal cell interactions in the tumor microenvironment, altogether associated with longer overall survival. These observations were aligned with our results in the mouse xenograft and allograft tumor experiments that GNAS KO with/without HDAC3i led to differential phenotypes. Overall, our research uncovers novel immunomodulating activities for potentiating the efficacy of epigenetic agents in non-Hodgkin lymphoma. This expands our understanding of novel interactions between immune and epigenetic regulation in lymphoma biology and provides new therapeutic opportunities for patients with resistant lymphoma who have poor prognoses and limited treatment options. Citation Format: Michael Y. He, Kit I. Tong, Mehran Bakhtiari, Ryder Whittaker Hawkins, Ting Liu, Yong Zeng, Noorhan Ghanem, Housheng Hansen He, Robert Kridel. Characterizing novel immunomodulating interactions for potentiating HDAC3 inhibition in non-Hodgkin lymphoma [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 1757.
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 | 0,001 |
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 ».