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Enregistrement W2560357275 · doi:10.1182/blood.v122.21.3785.3785

The Eukaryotic Translation Initiation Factor 4E (eIF4E) Has Oncogenic Functions and May Represent a New Therapeutic Target In Diffuse Large B Cell Lymphoma (DLBCL)

2013· article· en· W2560357275 sur OpenAlexaff
Biljana Čuljković, Tharu M. Fernando, ShaoNing Yang, Ari Melnick, Katherine L. B. Borden, Leandro Cerchietti

Notice bibliographique

RevueBlood · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensUniversité de MontréalInstitute for Research in Immunology and Cancer
Organismes subventionnairesnon disponible
Mots-clésEIF4EBiologyCancer researchEukaryotic translationEukaryotic initiation factorGene expressionDiffuse large B-cell lymphomaTranslation (biology)GeneOncogeneMessenger RNAEIF4A1Molecular biologyLymphomaGeneticsCell cycleImmunology

Résumé

récupéré en direct d'OpenAlex

Abstract DLBCL features marked molecular heterogeneity. Gene overexpression due to genetic lesions or by other mechanisms activates powerful oncogenic pathways such as MYC, BCL6, BCL2 and MCL1; that are usually expressed concomitantly. Regardless the underlying mechanism, genes must first be transcribed into mRNA and then translated into proteins in the cytosol to exert their oncogenic functions. While most transcripts representing bulk mRNA are exported to the cytosol using the TAP/NXF1 complex, a specific subset of transcripts that contain a conserved sequence (4E-SE) are exported using the eIF4E/LRPPRC/XPO1 complex. EIF4E is frequently elevated in many malignances and exhibit oncogenic potential that arises from its critical roles in the nuclear export and cytosolic translation of oncogenic transcripts. EIF4E competitive inhibitors, such as ribavirin (RIB), as well as XPO1 inhibitors such as KPT-330, abrogate its pro-survival function by decreasing export and translation of target mRNAs. We hypothesized that eIF4E could have a role in the expression of oncogenic transcripts and proteins in DLBCL patients. In this case, eIF4E nuclear pore complex inhibitors would constitute a new therapeutic approach for this disease. We first analyzed the expression of eIF4E in DLBCLs by gene expression (RNA-seq and qPCR) and immunohistochemistry (IHC). Compared to centroblasts, primary DLBCL (n=69) and cell lines (n=25) showed significant overexpression of eIF4E (p<0.0001 and p=0.04, respectively). IHC analysis of eIF4E in 75 DLBCL indicates that 72% of cases overexpressed eIF4E in either the nucleus, cytosol or both. BCL6, the most frequently involved oncogene in DLBCL, contains a 4E-SE sequence in its transcript making it a potential eIF4E target. To determine whether in fact BCL6 was an eIF4E target, we analyzed BCL6 transcript cytosolic/nuclear ratio (C/N) in DLBCL cells engineered to overexpress or knockdown eIF4E. eIF4E overexpression and knocking-down caused 80% increase and 40% decrease in BCL6 C/N respectively, and this was accompanied by coincident BCL6 protein changes. To further characterize the nuclear eIF4E contribution to BCL6 expression we infected DLBCL cells with control vector (GFP), eIEF4EWT (overexpression), eIF4EW73A (mutant with no translation activity) and eIF4ES53A (mutant with no export activity). Only eIEF4EWT and eIF4EW73Awere able to increase and maintain BCL6 mRNA and protein levels, suggesting that BCL6 is, at least, an export target of eIF4E. To more directly test this, we performed eIF4E-immunoprecipitation followed by RNA-seq or qPCR (for validation) in DoHH2 and SUDHL6 cells. We found that BCL6, together with other 150 transcripts including the oncogenes MYC, MCL1, BCL2, BCLXL and OCD1, was significantly and differentially bound to eIF4E (vs. IgG control) in both cell lines. Additional functional experiments validated these oncogenes transcripts as eIF4E targets in DLBCL cells. In DLBCLs with cytosolic eIF4E overexpression, BCL6 and other oncogenes with complex 5’UTRs, such as MYC, BCL2 and MCL1, could be also behave as preferential translational targets. In order to test this, we isolated nine polysomal fractions from SUDHL6 cells treated with RIB 30 μM or vehicle for up to 96 h. We found that RIB treatment significantly decreased BCL6, MYC, BCL2 and MCL1 transcripts in polysomes. Non-complex transcripts such as actin were unaffected. This translated in decreased protein levels of BCL6, MYC, BCL2 and MCL1 in treated cells. Our data therefore suggested that BCL6 is a new eIF4E target transcript and RIB decreases BCL6 transcript and subsequently protein levels by inhibiting both mRNA nuclear export and preferential translation. To assess whether this could be capitalized therapeutically, we exposed a panel of 10 DLBCL cell lines for 48 h to eIF4E nuclear pore complex inhibitors RIB and KPT-330. We found that RIB and KPT-330 have potent anti-lymphoma activity in these cells. We then tested this concept in vivo in established OCI-Ly1 xenografts that were randomized into 2 groups of 7 mice each and treated with vehicle or RIB 80 mg/kg/day. After 10 days of treatment, RIB significantly decreased tumor proliferation (p=0.025) without inducing toxicity. In sum, this study showed that BCL6 is a new eIF4E target transcript and that eIF4E nuclear pore complex inhibitors could represent a new therapeutic approach for DLBCL pts, especially for those with expression of multiple oncogenes. Disclosures: No relevant conflicts of interest to declare.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,474
Score d'incertitude au seuil0,572

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 Opus0,040
Tête enseignante GPT0,279
Écart entre enseignants0,238 · 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'étudeObservationnel
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
Publié2013
Routes d'admission1
Résumé présentoui

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