Epigenomic Determinants of Transcriptional Activity in ASXL1-Mutant Chronic Myelomonocytic Leukemia
Notice bibliographique
Résumé
Introduction: Truncating mutations in the Additional Sex Combs-Like 1 (ASXL1) gene are associated with a proliferative disease phenotype and poor survival outcomes across the spectrum of myeloid malignancies including chronic myelomonocytic leukemia (CMML). ASXL1 is thought to act as a chromatin modifier regulating transcriptional activity, however the exact mechanisms and resulting chromatin states remain controversial. We interrogated the epigenome of 16 patients with ASXL1-mutant and -wildtype CMML using a multiomics approach. Methods: Bone marrow mononuclear cells from patients with CMML (8 ASXL1-mutant, 8 -wildtype) were subjected to targeted NGS of DNA, whole transcriptome shotgun sequencing (RNA-seq), immunoprecipitation (IP) of DNA (hydroxy-)methyl residues (DIP-seq), IP of the histone modifications H3K4me1, H3K4me3, and H3K27me3 (ChIP-seq), and DNA transposase accessibility studies (ATAC-seq). After quality control all samples were sequenced on an Illumina HiSeq 4000 before further processing and data analysis. Global assessments of DNA (hydroxy-)methylation, DNA accessibility, and histone modifications between ASXL1-mutant and -wildtype CMML were performed. Differential gene expression was performed to define the up-regulated genes in ASXL1-mutant disease. The promoter regions of these up-regulated genes (defined as transcription start site ±3kb) were compared using the aforementioned multiomics approach. Epigenomic modification of the promoter region facilitating up-regulation of transcription was defined as the presence of a signal peak in ASXL1-mutant disease (in the absence of a signal peak in -wildtype disease) or 25% increase in a common signal peak (H3K4me1/3, 5hmC), the presence of a unique signal peak in ASXL1-mutant disease (ATAC), or the absence of a signal peak in ASXL1-mutant disease (in the presence of a signal peak in -wildtype disease), or 25% decrease in a common signal peak (H3K27me3, 5mC). Results: Sixteen patients with CMML, median age 69 years (48 - 77), 63% male, were included. Half of the patients had proliferative disease (pCMML) and half of them had truncating frameshift mutations in ASXL1 (heatmap). All ASXL1 variant allele frequencies were compatible with heterozygosity (31 - 48%). The burden of co-mutations was similar between ASXL1-wildtype and ASXL1-mutant disease (21 versus 23 per group; no difference in the median number of co-mutations, p = 0.684). The spectrum of co-mutations was typical for CMML, involving spliceosome components, epigenetic regulators, chromatin regulators, and cell signaling molecules (heatmap). There was a predominant up-regulation of gene expression in ASXL1-mutant patients: 707 genes up- and 124 down-regulated (volcano plot, FDR < 0.05 for all genes). Functional annotation of the up-regulated genes showed cell division, mitotic nuclear division, sister chromatid cohesion, DNA replication, and G1/S transition to be the 5 most enriched processes (accounting for 29% of all up-regulated genes, FDR < 1x10-10 for all terms). The up-regulated genes included several potential therapeutic targets and HOXA family members (including HOXA9). There were global increases in H3K4me1/3, 5mC, and 5hmC, decreases in H3K27me3, as well as a more relaxed chromatin conformation (bar graphs). Many of these epigenomic changes affected non-coding regions. When focusing on the promoter regions of the 707 up-regulated genes there was evidence of one or more of the interrogated epigenomic mechanisms facilitating transcription for 519 of the genes (73%). The most abundant mechanism was histone modification, followed by changes in DNA (hydroxy-)methylation, and increased chromatin accessibility, with considerable overlap (Venn diagram). For HOXA9, a known driver of leukemogenesis, the data supported a loss of H3K27me3 as the most prominent among the interrogated epigenomic regulatory mechanisms (average signal tracks). Conclusions: The transcriptome and chromatin conformation of ASXL1-mutant CMML are skewed towards proliferation and mirror the aggressive disease phenotype observed in practice. There is evidence of histone modification as well as changes in DNA methylation, and chromatin conformation facilitating transcriptional activity including known leukemogenic drivers. Additional regulatory mechanisms such as gene body methylation and enhancer elements require further exploration. Figure Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.
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) | 0,001 | 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 ».