MétaCan
Menu
Retour à la cohorte
Enregistrement W4243058622 · doi:10.1182/blood.v124.21.3580.3580

IDH2 R172 Mutations Define a Unique Subgroup of Patients in Angioimmunoblastic T-Cell Lymphoma

2014· article· en· W4243058622 sur OpenAlexaff
Chao Wang, Javeed Iqbal, Weiwei Zhang, Timothy W. McKeithan, Andreas Rosenwald, Randy D. Gascoyne, Christian Steidl, Alyssa Bouska, Bei Jiang, Joseph Rohr, Andrew Cannon, Kai Fu, Dennis D. Weisenburger, Timothy C. Greiner, Lynette M. Smith, Karen Dybkær, German Ott, Shigeo Nakamura, Masao Seto, Françoise Berger, Eleanor G. Rogan, Louis M. Staudt, Julie M. Vose, Wing C. Chan

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer-related gene regulation
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésAngioimmunoblastic T-cell lymphomaEpigeneticsBiologyIDH2Cancer researchDNA methylationMolecular biologyLymphomaMutationGeneticsT cellImmunologyGeneGene expressionIDH1

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Angioimmunoblastic T-cell lymphoma (AITL) is a common subtype of peripheral T-cell lymphoma (PTCL) with distinct pathological features and poor prognosis. Currently used chemotherapy is mostly unsuccessful with a 3-year overall survival of less than 30%. We and others have identified frequent mutations affecting IDH2 at arginine-172 (R172),TET2, DNMT3A and RHOA in AITL. The biochemical and functional consequences of IDH2R172 mutations in T cells have not been demonstrated. In this study, we performed targeted re-sequencing of epigenetic regulators, including IDH2, TET2 and DNMT3A in molecularly defined PTCL cases and analyzed the biochemical changes associated with IDH2R172 mutations as well as alterations in gene expression profiling (GEP), DNA methylation and histone modification that may improve our understanding of the pathogenetic mechanisms in AITL. Methods: We performed targeted re-sequencing of epigenetic regulators IDH2, TET2 and DNMT3A in AITL (n = 39) and PTCL subtypes (n = 53) with corresponding GEP. Due to lack of appropriate cell lines derived from AITL, we chose to use Jurkat T cells, a T-ALL cell line frequently used for T-cell functional studies and normal CD4+T cell to study the biochemical consequences of IDH2R172 mutations in T-cells. Liquid chromatography- tandem mass spectrometry was utilized for the detection of intracellular level of the 2-hydroxyglutarate and levels of 5-methycytosine and 5-hydroxymethycytosine in genomic DNA. Alterations of histone lysine tri-methylation were assessed by immunohistochemistry in AITL specimens and western blotting in vitro. Results: TET2 mutations appear to be the founder mutations in AITL with 82.1% (32/39) mutated cases and present as the major clone in the majority of mutant cases (75%; 24/32). TET2 mutations were also observed at a lower frequency in PTCL-NOS molecular subgroups (TBX21 (46%; 10/18); GATA3 (41%; 5/12)) and ALK negative-ALCL (33.3%, 4/12). The mutations in DNMT3A were observed at similar frequency in AITL (38.5%, 15/39) and PTCL-NOS subgroups [TBX21 (33%; 6/18); GATA3 (25%; 3/12)). However, IDH2R172 mutations were found predominantly in AITL (33.3%, 13/39), but rarely in PTCL-NOS subgroups (6.7%, 1/15 in PTCL-NOS). Remarkably, IDH2R172 mutant cases formed a unique cluster in unsupervised hierarchical clustering, and IDH2R172mutation defined a unique subset within AITL with a distinct gene expression signature. We observed that ectopic expression of IDH2R172K in the Jurkat T cell line led to a markedly increased level of intracellular 2-HG and up-regulation of the repressive histone methylation mark H3K27me3. Furthermore, a significant increase in 5-methylcytosine and corresponding decrease in 5-hydroxymethycytosine in genomic DNA was also observed in IDH2R172K transduced Jurkat and primary CD4+ T cells. Consistent with these findings, significant increase in aglobal DNA hypermethylation in proximal promoter regions and a global increase of the repressive histone mark H3K27me3 was observed in AITL harboring IDH2R172 mutants. Integrative analysis of GEP and promoter methylation identified several recurrently hypermethylated genes including negative regulators of the NF-kB pathway. Conclusion: IDH2R172 mutations define a unique subgroup of patients in angioimmunoblastic T-cell lymphoma with a distinct gene expression profile. IDH2R172 mutations are associated with global promoter hypermethylation in genomic DNA and trimethylation of H3K27 in AITL specimens. The current findings suggest that abnormal methylation associated with IDH2R172 mutations contribute to lymphomagenesis in AITL. Disclosures Fu: Nanostring: The author is a potential inventor on a patent application using Nanostring technology for the Lymph2Cx assay, which has been licensed from the NIH by Nanostring Patents & Royalties. Greiner:Nanostring: The author is a potential inventor on a patent applicaiton using Nanostring technology for a different assay, which has been licensed from the NIH by Nanostring Patents & Royalties.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,245
Score d'incertitude au seuil0,392

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,003
Tête enseignante GPT0,187
Écart entre enseignants0,184 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetCancer-related gene regulationTravaux en français237 207