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Updated: May 28, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Integrated multiomic profiling reveals 2 distinct splenic marginal zone lymphoma subgroups with prognostic relevance
Helen Parker1, Amatta Mirandari1, Ben Stevens1
1Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Abstract:
Splenic marginal zone lymphoma (SMZL) is a rare B-cell malignancy with notable genetic, epigenetic, and clinical heterogeneity. In this study, we used coding and noncoding sequencing (n = 74), including whole-genome sequencing (WGS) of 24 paired tumor-normal samples, targeted sequencing (n = 55), and DNA methylation in 126 patients to characterize the disease. From WGS, we identified recurrent, predominantly clonal coding mutations in KLF2 (50%), KMT2D (25%), and NOTCH2 (25%), alongside rare mutations in FLNC (8%), novel mutations in FAM135B (17%), and noncoding mutational hot spots in BCL6, PAX5, and BACH2 linked to aberrant somatic hypermutation. At least 1 noncoding hot spot was detected in 69% of patients. Copy number aberrations were present in 73% of patients, including del(7q) (27%), gain(3q) (17%), and trisomy 12 (13%). DNA methylation profiling revealed 2 epigenetic subgroups: high-risk (HR) SMZL (n = 67) and low-risk SMZL (n = 59). SMZL-HR was associated with adverse features, including female sex, IGHV1-2∗04 usage, KLF2 mutations, del(7q), shorter telomeres, and elevated epigenetically determined cumulative mitoses scores. Transcriptomic analysis highlighted enhanced cell proliferation in SMZL-HR, with enrichment of E2F and G2M checkpoint pathways and epigenetic regulation via EZH2. Patients with SMZL-HR had significantly shorter time to first treatment (TTFT) (hazard ratio, 1.9; P = .003) and reduced overall survival (hazard ratio, 2.5; P = .039): 85% of patients with SMZL-HR required treatment and showed a higher frequency of transformation (P = .007) and mortality (P< .001). Multivariate analysis confirmed SMZL-HR as an independent predictor of shorter TTFT (hazard ratio, 2.4; P = .001). These findings demonstrate the role of DNA methylation and molecular profiling in SMZL risk stratification.
