Impact of Mutations in Epigenetic Modifiers in Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis
Notice bibliographique
Résumé
Objectives: Mutations in epigenetic modifiers including IDH (Isocitrate dehydrogenase), DNMT3A (DNA Methyltransferase 3 Alpha), TET2 (Ten-Eleven Translocation 2), ASXL1 (Additional Sex Combs-Like 1), and EZH2 (Enhancer of Zeste Homolog 2) have been recently recognized in patients with Acute Myeloid Leukemia (AML). The DNMT3A and IDH were found to be associated with poor prognosis in most studies; however, there is no meta-analysis evaluating other mutations in the epigenetic modifiers. We performed a systematic review and meta-analysis to evaluate the prognostic significance of mutations in the epigenetic modifiers on the Overall Survival (OS) of patients with AML. Methods: We searched for studies evaluating epigenetic mutations in AML (up to August 2018) in PubMed. Two reviewers independently screened all citations and later abstracted data using a common data collection form. Risk of bias was assessed using Newcastle-Ottawa Scale (NOS) and Cohen kappa coefficient (k) was calculated to assess the agreement. Hazard ratio (HR) and 95% confidence interval (CI) of outcomes were extracted and random effects model was used to pool the results. Statistical heterogeneity was calculated using Cochran I2 and tested using chi-squared tests. Results: A total of 9543 citations were retrieved from the search strategy; of which 9415 were excluded after title screening and 37 articles were excluded after abstract screening. A review of full text excluded additional 49 articles for incomplete data and missing analysis on OS. Forty-two articles were identified for the systematic review and meta-analysis (IDH n=15, DNMT3A n=12, TET2 n=8, ASXL1 =7), all of which were fair to good quality studies based on the NOS. The analysis of IDH mutation included 15 articles covering 5100 patients with a median age of 55 years. The frequency of IDH mutations ranged from 7 to 33%. The pooled HR indicated that IDH mutation conferred significantly worse OS (HR = 1.54; 95% CI: 1.15-2.06) though with a substantial heterogeneity (I2 = 85%). Mutation analysis of DNMT3A was based on 12 articles including 5418 patients with a median age of 52 years. The proportion of patients with this mutation ranged from 14 to 34%. Results indicated a worse OS with a pooled HR of 1.35; 95% CI 1.16-1.56, and a substantial heterogeneity (I2=71%). For the ASXL1 mutation, our analysis included 4115 adult and pediatric patients from 7 studies. The pooled HR indicated that ASXL1 mutation conferred a significantly worse OS (HR = 1.88; 95% CI: 1.49‒2.36); however, with a moderate heterogeneity (I2 = 43%). The TET2 mutation analysis was based on eight studies with a total of 3286 patients. The pooled HR indicated that TET2 mutation conferred a significantly worse OS (HR = 1.39; 95% CI: 1.18‒1.63); with a low heterogeneity (I2 = 28%). Conclusions: Epigenetic mutations in IDH, DNMT3A, ASXL1 and TET2 adversely impact OS in patients with AML. These mutations in the epigenetic modifiers should be considered in the initial evaluation of patients with AML and in the decision on post induction management. Disclosures Al-Khabori: Shire (Takeda): Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; SOBI: Honoraria; AstraZeneca: Honoraria; NovoNardisk: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, 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 | 0,009 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,015 | 0,021 |
| Bibliométrie | 0,008 | 0,011 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».