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Record 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 on 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

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity of British ColumbiaCanada's Michael Smith Genome Sciences CentreSimon Fraser University
Fundersnot available
KeywordsBiologyCancer researchMolecular biologyExome sequencingTranscriptomeLymphomaGene expression profilingGeneGeneticsMutationGene expressionImmunology

Abstract

fetched live from 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 Methods: Patient samples were obtained from an ongoing meta-analysis of mature B-cell neoplasms including unpublished data from the Lymphoma/Leukemia Molecular Profiling Project.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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.251
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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