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Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
Chronic Lymphocytic Leukemia with Mutated IGHV4-34 Receptors: Shared and Distinct Immunogenetic Features and Clinical
Aliki Xochelli1,2, Panagiotis Baliakas2, Ioannis Kavakiotis3
1Institute of Applied Biosciences, CERTH, Thessaloniki, Greece.
Insights
B cell receptor immunoglobulin stereotypy refines chronic lymphocytic leukemia (CLL) prognostication. Specific B cell receptor immunoglobulin stereotyped subsets of mutated CLL show distinct clinical features and outcomes, improving patient management strategies.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Chronic lymphocytic leukemia (CLL) is a heterogeneous B-cell malignancy.
- Mutated B cell receptor immunoglobulin (M-CLL) patients expressing IGHV4-34 gene are a distinct subgroup.
- Prognostic markers are crucial for managing CLL patients.
Purpose of the Study:
- To investigate the association between B cell receptor immunoglobulin (BcR IG) stereotypy and clinicobiological features in M-CLL patients using the IGHV4-34 gene.
- To determine if BcR IG stereotypy can refine prognostication in these patients.
- To analyze specific stereotyped subsets within IGHV4-34 expressing M-CLL.
Main Methods:
- Analysis of 19,907 CLL cases with immunogenetic data.
- Identification of 339 IGHV4-34 expressing cases within four major stereotyped M-CLL subsets (#4, #16, #29, #201).
- Detailed investigation of clinicobiological characteristics, somatic hypermutation patterns, genomic aberrations, and disease outcomes.
Main Results:
- Identified shared and subset-specific somatic hypermutation (SHM) patterns.
- Observed significant differences in disease stage and genomic aberrations among subsets.
- IgG-switched subsets (#4, #16) showed indolent disease with longer time-to-first-treatment (TTFT) compared to IgM/D subsets (#29, #201).
Conclusions:
- BcR IG stereotypy refines prognostication in CLL, offering more detail than SHM load alone.
- Distinct genetic landscapes and clinical heterogeneity exist within M-CLL, suggesting tailored management approaches.
- Further research into the biological underpinnings of M-CLL subsets is warranted for personalized patient care.
Abstract:
Purpose: We sought to investigate whether B cell receptor immunoglobulin (BcR IG) stereotypy is associated with particular clinicobiological features among chronic lymphocytic leukemia (CLL) patients expressing mutated BcR IG (M-CLL) encoded by the IGHV4-34 gene, and also ascertain whether these associations could refine prognostication.Experimental Design: In a series of 19,907 CLL cases with available immunogenetic information, we identified 339 IGHV4-34-expressing cases assigned to one of the four largest stereotyped M-CLL subsets, namely subsets #4, #16, #29 and #201, and investigated in detail their clinicobiological characteristics and disease outcomes.Results: We identified shared and subset-specific patterns of somatic hypermutation (SHM) among patients assigned to these subsets. The greatest similarity was observed between subsets #4 and #16, both including IgG-switched cases (IgG-CLL). In contrast, the least similarity was detected between subsets #16 and #201, the latter concerning IgM/D-expressing CLL. Significant differences between subsets also involved disease stage at diagnosis and the presence of specific genomic aberrations. IgG subsets #4 and #16 emerged as particularly indolent with a significantly (P < 0.05) longer time-to-first-treatment (TTFT; median TTFT: not yet reached) compared with the IgM/D subsets #29 and #201 (median TTFT: 11 and 12 years, respectively).Conclusions: Our findings support the notion that BcR IG stereotypy further refines prognostication in CLL, superseding the immunogenetic distinction based solely on SHM load. In addition, the observed distinct genetic aberration landscapes and clinical heterogeneity suggest that not all M-CLL cases are equal, prompting further research into the underlying biological background with the ultimate aim of tailored patient management. Clin Cancer Res; 23(17); 5292-301. ©2017 AACR.
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