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Study of NSD2 using a dTAG system reveals its molecular mechanism and oncogenic implications in t(4;14) multiple myeloma.

The histone H3 lysine 36 dimethylation (H3K36me2) methyltransferase NSD2 is deleted in Wolf-Hirschhorn syndrome and is aberrantly expressed in 10% to 15% of patients with multiple myeloma (MM) because of a t(4;14) translocation. Although NSD2 is thought to be a primary driver in MM, the exact molecular mechanisms by which it regulates transcription remain unclear. We applied the degradation tag (dTAG) system to acutely degrade NSD2 and used this, in combination with time-resolved thiol-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), to identify 307 transcriptional targets of NSD2. Reconstitution with either wild-type NSD2 or a catalytically inactive mutant (NSD2Y1179A) showed that NSD2's transcriptional effects are almost exclusively dependent on its SET domain activity. Mechanistically, H3K36me2 deposition by NSD2 antagonizes H3K27me3 levels, and treatment with 2 distinct Polycomb repressive complex 2 inhibitors demonstrated that approximately half of the NSD2 target genes are regulated in an H3K27me3-dependent manner. Cleavage under targets and tagmentation (CUT&Tag) analysis showed that upon NSD2 depletion, there was an increase in H3K27me3 that occurred at genome-wide intergenic regions rather than at the promoters or gene bodies of NSD2 target genes. These data suggest that NSD2, via H3K36me2, antagonizes H3K27me3 deposition likely at distal regulatory elements, including enhancers, creating a chromatin landscape favorable for target gene transcription. Importantly, NSD2 target genes were enriched for key oncogenic pathways, and 24 transcription factors (TFs) implicated in neurodevelopment and acute leukemia, consistent with its role in Wolf-Hirschhorn syndrome and MM. Eight of these TFs are known oncogenic drivers in acute leukemia or MM, highlighting a novel molecular mechanism for NSD2's role in t(4;14) MM.

Histone-Lysine N-Methyltransferase

Phenotypes of Hereditary Diseases Associated With Rauch-Steindl Syndrome.

PURPOSE: Prenatal phenotypic manifestations of genetic disorders associated with NSD2 variants remain poorly characterized. This study presents our institutional experience with the prenatal diagnosis of NSD2-associated genetic disorders, specifically Rauch-Steindl syndrome (RAUST), aiming to improve understanding of both the molecular and clinical features of RAUST. METHODS: We performed a retrospective analysis of six fetuses and one adult diagnosed with RAUST at our institution and thoroughly reviewed the prenatal ultrasound reports of six fetuses. Prenatal and postnatal phenotypes of RAUST cases were summarized alongside findings from previously published literature. Correlations between NSD2 variant locations, variant types, and phenotypes were analyzed. Additionally, protein modeling was used to visualize structural changes in NSD2 protein before and after C-terminal variants. We integrated single-cell transcriptomic and gene expression data from multiple public databases to investigate spatiotemporal expression patterns of NSD2 during human fetal development. RESULTS: Fetal growth restriction (FGR) was the most prevalent prenatal manifestation in RAUST fetuses, followed by microcephaly. Bilateral renal hypoplasia emerged as a novel prenatal ultrasonographic feature. Postnatally, speech and motor developmental delays were the most commonly reported phenotypes, followed by physical developmental delays and intellectual disability. Genotype-phenotype correlation analysis revealed an association between N-terminal truncating variants in NSD2 and impaired fetal growth parameters. Notably, C-terminal truncating variants-predicted not to directly impact NSD2 functional domains-also exerted disease-causing effects. CONCLUSION: This study provides a comprehensive analysis of prenatal phenotypes in RAUST cases, enriching the prenatal phenotypic spectrum of the disease and facilitating early diagnosis and clinical management of RAUST. Furthermore, our genotype-phenotype correlation findings lay a foundational basis for future research into the complex molecular mechanisms underlying NSD2-associated genetic disorders.

Humans

Genomic Characterization of ETV6::RUNX1-Positive Childhood B-ALL in a Chinese Cohort: Novel Fusion Partners, Co-Occurring Mutations, and Risk-Stratifying Biomarkers.

BACKGROUND: ETV6::RUNX1 is the most common genetic abnormality in pediatric B-cell acute lymphoblastic leukemia (ALL; ∼25%), yet the comprehensive genetic architecture and molecular predictors of intermediate-risk (IR) stratification remain incompletely characterized. METHODS: We performed whole-transcriptome sequencing (Illumina NovaSeq 6000, rRNA depletion, 41.70 Gb/sample) on bone marrow samples from 93 pediatric ETV6::RUNX1-positive B-ALL patients. Bioinformatics analysis included STAR alignment, MuTect2 variant calling, FusionCatcher fusion detection, and VEP annotation. The Jaccard index with permutation testing assessed mutation co-occurrence; logistic regression identified independent predictors of IR classification. RESULTS: Beyond ETV6::RUNX1, we identified 51 distinct fusion genes across the cohort, including the reciprocal RUNX1-ETV6 (73.1%), chr8::KLF1210 (38.7%), and KLF12-chr8 (34.4%). Somatic mutations in 249 genes were detected; the most frequent were KIAA1715 (17.2%), KRAS (11.8%), and NSD2 (10.8%). Network analysis revealed significant chromatin modifier co-occurrence (KIAA1715-KMT2C: J = 0.136, p = 0.015) and KRAS-NRAS mutual exclusivity (J = 0.000, p = 0.042). PTCH1 (OR = 3.50, 95% CI 0.21-58.49, p = 0.41) and GNB1 (OR = 6.5, 95% CI 1.2-34.8, p = 0.029) mutations independently predicted IR classification. chr8::KLF1210 fusion correlated with higher Day-19 MRD levels (p = 0.038). CONCLUSIONS: GNB1 mutation represents a novel independent predictor of IR stratification in ETV6::RUNX1-positive B-ALL. The chromatin modifier co-occurrence module and extensive fusion architecture reveal biological heterogeneity within this favorable-risk subtype, with potential implications for risk-adapted therapeutic strategies.

B‐ALL