Abstract 3351: Aberrant RNA editing of GLI1 promotes malignant regeneration in multiple myeloma
Notice bibliographique
Résumé
Abstract Introduction: Despite novel therapies, most of multiple myeloma (MM) patients relapse as a result of clonal evolution in inflammatory microenvironments. Adenosine-to-inosine (A-to-I) RNA editing, driven by inflammatory cytokine-responsive adenosine deaminase acting on RNA1 (ADAR1), promotes cancer progression by enhancing survival and self-renewal of malignant progenitor cells. Amplifications of chromosome 1q21, containing IL-6R and ADAR1 loci, occur frequently in high-risk MM patients, who frequently develop secondary plasma cell leukemia (PCL) and have shorter survival. While increased IL-6 signaling has been linked to relapse and A-to-I editing contributes to therapeutic resistance in a broad array of malignancies, the role of ADAR1 in MM pathogenesis has not been elucidated. This study aimed to investigate whether pro-inflammatory cues in MM activate ADAR1 editing thereby promoting malignant regeneration. Procedures: Publicly available primary patient datasets were analyzed and validated in a separate cohort of biobanked primary samples and human myeloma cell lines. Lentiviral vector-mediated activation or knockdown of ADAR1, or treatment with extrinsic pro-inflammatory stimuli, was utilized to probe the functional impact of RNA editing activity in MM models. Site-specific qPCR was used to quantify RNA editing in specific cancer stem cell-associated loci. Functional effects of ADAR1 activity were assessed in in vitro survival and self-renewal assays, and in novel in vivo PCL xenografts. Results: Patients harboring 1q21 amplification showed significant and stage-dependent increases in ADAR1 expression. In a set of separate primary PCL samples, aberrant RNA editing in the coding region of the Hedgehog (Hh) pathway transcription factor GLI1 was observed in high ADAR1-expressing samples. Notably, increased GLI1 editing, previously reported to have increased capacity to activate its transcriptional targets, was detected in serially transplantable, patient-derived xenograft models. Furthermore, abolition of ADAR1 editase activity impaired GLI1 editing. Lastly, in vitro pro-inflammatory IL-6 stimulation, or continuous exposure to the immunomodulatory drug lenalidomide led to increased ADAR1 mRNA and protein levels, with a concomitant induction of RNA editing activity. Conclusions: In MM, 1q21 amplification has been linked to progression. We provide new evidence linking expression and activity of ADAR1, located on 1q21, and disease stage. Because ADAR1 induces transcript recoding, A-to-I editing could contribute to the marked transcriptomic diversity typical of advanced MM. While the Hh pathway has been linked to cancer stem cell generation in human MM, here we identified a primate-specific mechanism of Hh pathway activation in MM through RNA editing-dependent stabilization of GLI1. Together, both genetic and microenvironmental factors modulate epitranscriptomic deregulation of cancer stem cell pathways in MM. Citation Format: Elisa Lazzari, Nathaniel Delos Santos, Christina Wu, Heather Leu, Gabriel Pineda, Shawn Ali, Caitlin Costello, Mark Minden, Raffaella Chiaramonte, Leslie Crews, Catriona Jamieson. Aberrant RNA editing of GLI1 promotes malignant regeneration in multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3351. doi:10.1158/1538-7445.AM2017-3351
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 ».