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Updated: May 28, 2026

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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.
Blood Advances
|May 27, 2026
Summary
This study reveals genetic and epigenetic markers in splenic marginal zone lymphoma (SMZL). DNA methylation profiling identifies high-risk (SMZL-HR) and low-risk (SMZL-LR) subgroups, improving patient stratification.
Area of Science:
- Hematology
- Oncology
- Genetics
Background:
- Splenic marginal zone lymphoma (SMZL) is a rare B-cell malignancy characterized by significant heterogeneity.
- Understanding the molecular underpinnings of SMZL is crucial for improved diagnosis and treatment.
Purpose of the Study:
- To comprehensively characterize the genetic and epigenetic landscape of SMZL.
- To identify molecular features associated with disease risk and clinical outcomes.
- To establish a molecular basis for risk stratification in SMZL patients.
Main Methods:
- Whole-genome sequencing (WGS), targeted sequencing, and DNA methylation profiling were performed on a cohort of 126 SMZL cases.
- Copy-number aberration (CNA) analysis and transcriptomic profiling were also conducted.
- Statistical analyses, including multivariate analysis, were used to correlate molecular findings with clinical data.
Main Results:
- Recurrent coding mutations were identified in KLF2, KMT2D, and NOTCH2. Non-coding mutational hotspots in BCL6, PAX5, and BACH2 were linked to aberrant somatic hypermutation.
- DNA methylation profiling delineated two distinct epigenetic subgroups: SMZL-HR (high-risk) and SMZL-LR (low-risk).
- SMZL-HR was associated with adverse clinical features, shorter time to first treatment (TTFT), and reduced overall survival, and was an independent predictor of shorter TTFT.
Conclusions:
- Molecular profiling, particularly DNA methylation, plays a critical role in stratifying SMZL patients by risk.
- Identification of SMZL-HR as a high-risk subgroup provides valuable prognostic information.
- These findings pave the way for more personalized treatment strategies in SMZL.
