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Enregistrement W4389235331 · doi:10.1182/blood-2023-190409

<i>Hnrnpu</i> mutations Are Haploinsufficient and Alter the Transcriptome of MYC-Driven Lymphomas

2023· article· en· W4389235331 sur OpenAlexaff
Qurat Ul Ain Qureshi, Krysta M. Coyle, Nicole Thomas, Brett Collinge, Kostiantyn Dreval, Laura K. Hilton, Jasper Wong, David W. Scott, Timothy E. Audas, Ryan D. Morin

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensUniversity of British ColumbiaCanada's Michael Smith Genome Sciences CentreSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésBiologyCancer researchMolecular biologyExome sequencingTranscriptomeLymphomaGene expression profilingGeneGeneticsMutationGene expressionImmunology

Résumé

récupéré en direct d'OpenAlex

Introduction: Burkitt lymphoma (BL) is an aggressive B-cell cancer, characterized by translocations that juxtapose a potent immunoglobulin enhancer with the MYC oncogene. MYC translocations are also found in 10% of tumors with diffuse large B-cell lymphoma morphology. When a BCL2 translocation is also present, these high-grade B-cell lymphomas (HGBCL-DH- BCL2) have poor prognosis. While sustained MYC expression can promote cell activation and proliferation, it also has potent and acute effects on programmed cell death, which cancer cells must overcome in order to survive. Identification and functional characterization of common mutations that cooperate with MYC are thus important for understanding its role in pathobiology. Methods: Patient samples were obtained from an ongoing meta-analysis of mature B-cell neoplasms including unpublished data from the Lymphoma/Leukemia Molecular Profiling Project. Simple somatic mutations were identified from whole genome or exome sequencing data using an ensemble of variant callers. MYC rearrangements breakpoints were identified using GRIDSS and Manta. All functional studies were performed in an EBV+ BL cell line (Raji). HNRNPU mutations were introduced into cells using IDTs ALT-R CRISPR-Cas9 system, clonally isolated, and verified by sequencing. Subsequent RNA-sequencing was performed. Knockdown and overexpression experiments were performed using an HNRNPU expression vector or siRNA targeting endogenous HNRNPU. HNRNPU eCLIP in HepG2 and K562 cells were obtained from the ENCODE project consortium. Differential gene expression was analysed with DESeq2. Peak-calling and individual crosslink sites were detected using PureCLIP. Results: Within the sequencing data, we noted that several RNA binding proteins were commonly mutated in BL and HGBCL-DH- BCL2. Mutations affecting HNRNPU were identified in tumors from 11.6% of HGBL-DH- BCL2 and 5.6% of BL patients. These mutations were predicted to be inactivating but, unlike conventional tumor suppressor genes, an inactivating mutation on the other allele was never observed. HNRNPU mutations were significantly enriched in EBV+ BLs. The gene product (hnRNP U) is an RNA- and DNA-binding protein that plays a central role in gene expression regulation. To understand their biological effect in aggressive lymphomas, we introduced heterozygous inactivating mutations in the most affected region of HNRNPU. Clones with confirmed knockout exhibited reduced expression at the mRNA and protein level. Through gene expression analysis, comparing the parental to two mutant lines, we identified 615 differentially expressed genes (358 downregulated, 219 upregulated). Pathway enrichment analysis revealed reduced expression of genes in several relevant pathways such as MYC, TP53 and DNA damage response. This was consistent with our observation of reduced MYC protein in the mutant lines. A role of hnRNPU-in MYC modulation was further in experiments when HNRNPU knockdown reduced and overexpression increased MYC expression. Overexpression of hnRNP U also resulted in cellular stress and a decrease in cell proliferation. Using actinomycin D chase experiments, we found that hnRNPU loss leads to reduced MYC transcript stability. Crosslinking immunoprecipitation suggests that hnRNP U binds directly to the MYC transcript in poly G tracts in intron 1. This region is predicted to fold into G-quadruplexes, a secondary structure that can be bound by hnRNP U. HNRNPU mutations are only observed in tumors with an intact MYC locus rather than those with a rearrangement in intron 1. Taken together, these findings suggest that the region of MYC upstream of intron 1 may be relevant for HNRNPU-mediated modulation of MYC. Conclusion: HNRNPU mutations are novel recurrent driver mutations specifically within MYC translocated B-cell lymphomas. HNRNPU acts as a modulator of MYC expression, and the most common mutations are predicted to negatively impact this role. We propose a model where HNRNPU mutations moderate MYC expression, thus buffering MYC-induced apoptosis and proteotoxic stress. Further experiments to explore the role of HNRNPU binding on MYC expression and the potential role in buffering the proteotoxic stress associated with MYC translocations are ongoing. Insights into the mechanisms contributing to disease will support ongoing work to establish in vitro and in vivo models for future therapeutic investigations.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

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)0,0020,001

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 Opus0,017
Tête enseignante GPT0,251
Écart entre enseignants0,234 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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