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Oncogenic Mutations and Tumor Microenvironment Alterations in Diffuse Large B-Cell Lymphoma With Bulky Disease.

BACKGROUND: Bulky disease represents a clinically aggressive subset of diffuse large B-cell lymphoma (DLBCL) associated with adverse clinical outcomes. The aim of this study was to investigate the influence of oncogenic mutations and tumor microenvironment alterations on bulky disease in DLBCL. METHODS: We analyzed a cohort of 939 patients with newly diagnosed DLBCL. Using DNA (n = 934) and RNA (n = 524) sequencing, we compared oncogenic mutations and tumor microenvironment (TME) alterations based on tumor diameter, with cutoff values at 5.0 cm and 10.0 cm. Further stratification by mutations in key genes (CD58, STAT6, EBF1) correlated with tumor diameter revealed distinct transcriptomic and immunologic profiles. Subsequent single-cell RNA sequencing, guided by these mutational signatures, resolved the cellular heterogeneity within the TME. RESULTS: Integrative analysis revealed that tumor diameter correlated with increased incidence of mutations in CD58, STAT6, and EBF1; adverse genetic subtypes such as EZB-like MYC+ and TP53Mut; activation of oncogenic pathways (JAK/STAT, BCR, PI3K, and MYC); and an immunosuppressive tumor microenvironment. Notably, immune checkpoint molecules varied across the bulky stages, with CTLA-4, TIGIT, ICOS, and CD28 expression inversely correlated with tumor diameter, while CD70 and 4-1BBL expression positively correlated. Single-cell RNA sequencing further revealed mutation-specific tumor microenvironment insights. CD58-mutated tumor exhibited a profoundly immune-deserted microenvironment dominated by malignant B cells with minimal immune infiltration, whereas STAT6-mutated tumor was associated with increased fibroblasts and CD4 + T cells, particularly regulatory T cells (Treg) and Th1-like cells; EBF1-mutated tumor was characterized by increased proportions of malignant B cells. CONCLUSIONS: Collectively, our findings highlight the biological complexity of bulky disease, identifying candidate molecular targets and providing a biological framework for future therapeutic hypothesis generation in this clinically aggressive subset of DLBCL.

Humans

Biochemical, structural and mutational landscapes of base excision repair enzymes and cancer: from atomic resolution to tumor signatures.

PURPOSE: Base excision repair (BER) is the predominant pathway for repairing non‑bulky oxidized and alkylated DNA base lesions, and its fidelity depends on the coordinated action of lesion‑specific DNA glycosylases and downstream repair enzymes. This review aims to summarize recent structural, biochemical, and genomic insights into three base excision repair enzymes, MUTYH DNA glycosylase, NTHL1 DNA glycosylase, and DNA polymerase β. CONCLUSION: This review outlines how MUTYH, NTHL1 and DNA polymerase β protect the genome from mutagenesis, highlights major germline variants associated with disease, and synthesizes the current knowledge on the characteristic single base substitution (SBS) mutational signatures that occur when these repair enzymes are dysfunctional.

Base excision repair

MapID-based quantitative mapping of chemical modifications and expression of human transfer RNA.

Detection and quantification of tRNA chemical modifications are critical for understanding their regulatory functions in biology and diseases. However, tRNA-seq-based methods for modification mapping encountered challenges both experimentally (poor processivity of heavily modified tRNAs during reverse transcription or RT) and bioinformatically (frequent reads misalignment to highly similar tRNA genes). Here, we report "MapID-tRNA-seq" where we deployed an evolved reverse transcriptase (RT-1306) into tRNA-seq and developed "MapIDs" that reduce redundancy of the human tRNA genome and explicitly annotate genetic variances. RT-1306 generated robust mutations against m1A and m3C, and RT stops against multiple bulky roadblock modifications. MapID-assisted data processing enabled systematic exclusion of false-positive discoveries of modifications which arise from reads misalignment onto similar genes. We applied MapID-tRNA-seq into mapping m1A, m3C and expression levels of tRNAs in three mammary cell lines, which revealed cell-type dependent modification sites and potential translational regulation of the reduced mitochondrial activities in breast cancer.

Humans