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Updated: Mar 19, 2026

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
Surface IgM expression and function are associated with clinical behavior, genetic abnormalities, and DNA methylation
Annalisa D'Avola1, Samantha Drennan1, Ian Tracy1
1Haematology Oncology Group, Cancer Sciences Unit, and Cancer Sciences Unit, Cancer Research UK and National Institute for Health Research (NIHR) Experimental Cancer Medicine Centres, University of Southampton, Southampton, United Kingdom;
High surface immunoglobulin M (sIgM) levels in chronic lymphocytic leukemia (CLL) correlate with disease progression. This simple marker may help predict clinical behavior in both mutated and unmutated CLL subsets.
Area of Science:
- Hematology
- Oncology
- Immunology
Background:
- Chronic lymphocytic leukemia (CLL) exhibits distinct subtypes based on immunoglobulin gene mutation status (M-CLL vs. U-CLL).
- These subtypes differ in anergy, genetic aberrations, and DNA methylation, reflecting their maturational status and clinical course.
Purpose of the Study:
- To investigate the role of surface immunoglobulin M (sIgM) expression and signaling in CLL.
- To explore correlations between sIgM levels, genetic features, DNA methylation, and clinical outcome.
Main Methods:
- Quantification of sIgM levels and intracellular calcium (Ca2+) mobilization upon stimulation.
- Analysis of genetic aberrations (+12, del(17p), NOTCH1 mutations).
- DNA methylation profiling using an 18-gene panel to assess maturation status.
Main Results:
- U-CLL generally displayed higher sIgM levels and signaling than M-CLL.
- Increased sIgM levels/signaling correlated with disease progression within both CLL subtypes.
- In U-CLL, high sIgM associated with specific genetic lesions; in M-CLL, lower sIgM correlated with higher methylation maturation status.
- Multivariate analysis identified high sIgM as a potential independent predictor of CLL progression.
Conclusions:
- sIgM levels are influenced by cell origin, antigen exposure, and genetic damage.
- High sIgM is a novel potential prognostic factor for CLL, particularly valuable in the heterogeneous M-CLL subset.
- Further investigation of sIgM as a predictive marker for clinical behavior is warranted.
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