Loss of Phospholipase C Gamma 1 (PLCG1) Impairs AML1-ETO Induced Leukemia Stem Cell Self-Renewal
Notice bibliographique
Résumé
Chromosomal translocations found in acute myeloid leukemia (AML) can generate oncogenic fusions with aberrant epigenetic and transcriptional functions. However, direct therapeutic targeting of leukemia fusion proteins has not been accomplished so far. Although high remission rates can be induced in patients diagnosed with AML1-ETO/t(8;21)-positive AML only half of them achieve long-term disease-free survival (Papaemmanuiel et al., NEJM, 2016). In the other half of these patients, the disease maintaining leukemia stem cell (LSC) clone is not eliminated by chemotherapy. A functional characteristic of LSCs is unlimited self-renewal capacity and several signaling pathways have been identified that maintain stem cell self-renewal. Targeting the oncogene induced self-renewal capacity of LSCs has great potential to eliminate the malignant clone and prevent relapse. To identify oncogenic cellular functions with relevance for LSC self-renewal, we performed global proteome profiling in murine AML1-ETO9a (AE) compared to MLL-AF9 (MA9) driven LSCs. Gene set enrichment analyses revealed a significant enrichment of calcium-dependent cellular functions and Phospholipase C (PLC)-signaling in AE LSCs. These data could be confirmed in sorted CD34+ blasts from AE-positive AML when compared to non-AE-AML. All PLC family members are regulators of Ca2+ homeostasis. However, when analyzing published AML gene expression datasets we found exclusively PLCG1 to be highly expressed in t(8;21) AML. Conditional activation of AE in embryonic stem cells resulted in induction of PLCG1 expression and PLCG1 was identified as a direct target of the AE fusion by ChIP-sequencing in AE-positive Kasumi-1 cells.Here, PLCG1 depletion resulted in reduced Ca2+ release, impaired proliferation and reduced colony formation in vitro. In a xenograft model, inactivation of PLCG1 resulted not only in delayed disease development (median survival shNT vs. shPLCG1: 135 days vs. not reached, p=0.02) but also in reduction of disease penetrance by 87%. Consistent with these results, transcriptome analysis revealed strong induction of gene sets related to myeloid differentiation and down-regulation of gene sets linked to proliferation, stemness and c-Myc targets. To confirm the functional role of PLCG1-signaling in AE-driven LSCs, we generated a new conditional knockout mouse model for Plcg1 and induced leukemia using the oncogenes AE and KRAS-G12D (AE/K). Genetic inactivation of Plcg1in vivo after engraftment of leukemic cells resulted in significant reduction of LSC numbers (p=0.04) and a reduction of disease penetrance by 67% in primary recipients. Isolated LSCs revealed induction of differentiation, loss of cell cycle activity and failed to re-establish disease in secondary recipients (Plcg1+/+ vs. Plcg1-/-: median survival 12 days vs. not reached; p=0.0001). In contrast, genetic deletion of Plcg1 appeared to be dispensable for normal murine HSC function during primary and secondary transplantation. Primary human t(8;21) AML cells (derived from 4 different donors) showed impaired colony forming capacity following PLCG1 inactivation in vitro irrespective of co-occurring mutations while colony formation of human CD34+ BM cells was not affected to a major extent. As Ca2+ signaling appeared deregulated in t(8;21) AML, we aimed to investigate the effects of pharmacologic Ca2+ inhibition as a tractable target downstream of PLCG1. To assess specifically for LSC function, we treated primary recipient mice with established AE/K-driven leukemia with the clinically approved calcineurin inhibitor ciclosporin (CsA), a compound that blocks intracellular Ca2+ release. CsA-treated animals showed reduction in total leukemic burden (spleen weight diluent vs. CsA, p=0.01) and LSC numbers (p=0.02). This resulted in increased survival of secondary recipient hosts (diluent vs. CsA: median 15 vs. 29 days, p=0.0002). These effects could not be observed for other oncogenes (e.g. MA9), confirming its specificity for AE-induced disease. Consistently, CsA treated primary human t(8;21)-positive AML blasts failed to form colonies in methylcellulose. In summary, our findings identified PLCG1-dependent Ca2+ signaling as a critical pathway for t(8;21) LSC maintenance and self-renewal. Most importantly, as PLCG1 is dispensable for maintenance of normal HSPCs, PLCG1 could serve as a novel therapeutic target in t(8;21) AML. Disclosures Döhner: Daiichi: Honoraria; Jazz: Honoraria; Novartis: Honoraria; Celgene: Honoraria; Janssen: Honoraria; CTI Biopharma: Consultancy, Honoraria. Bullinger:Novartis: Honoraria; Menarini: Honoraria; Jazz Pharmaceuticals: Honoraria; Abbvie: Honoraria; Astellas: Honoraria; Amgen: Honoraria; Seattle Genetics: Honoraria; Sanofi: Honoraria; Janssen: Honoraria; Hexal: Honoraria; Gilead: Honoraria; Daiichi Sankyo: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria; Bayer: Other: Financing of scientific research; Pfizer: Honoraria.
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) | 0,001 | 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 ».