Lymphoma pp 139-155 | Cite as

Stereotyped B Cell Receptor Immunoglobulins in B Cell Lymphomas

  • Andreas Agathangelidis
  • Fotis Psomopoulos
  • Kostas Stamatopoulos
Part of the Methods in Molecular Biology book series (MIMB, volume 1956)


Comprehensive analysis of the clonotypic B cell receptor immunoglobulin (BcR IG) gene rearrangement sequences in patients with mature B cell neoplasms has led to the identification of significant repertoire restrictions, culminating in the discovery of subsets of patients expressing highly similar, stereotyped BcR IG. This finding strongly supports selection by common epitopes or classes of structurally similar epitopes in the ontogeny of these tumors. BcR IG stereotypy was initially described in chronic lymphocytic leukemia (CLL), where the stereotyped fraction of the disease accounts for a remarkable one-third of patients. However, subsequent studies showed that stereotyped BcR IG are also present in other neoplasms of mature B cells, including mantle cell lymphoma (MCL) and splenic marginal zone lymphoma (SMZL). Subsequent cross-entity comparisons led to the conclusion that stereotyped IG are mostly “disease-specific,” implicating distinct immunopathogenetic processes. Interestingly, mounting evidence suggests that a molecular subclassification of lymphomas based on BcR IG stereotypy is biologically and clinically relevant. Indeed, particularly in CLL, patients assigned to the same subset due to expressing a particular stereotyped BcR IG display remarkably consistent biological background and clinical course, at least for major and well-studied subsets. Thus, the robust assignment to stereotyped subsets may assist in the identification of mechanisms underlying disease onset and progression, while also refining risk stratification. In this book chapter, we provide an overview of the recent BcR IG stereotypy studies in mature B cell malignancies and outline previous and current methodological approaches used for the identification of stereotyped IG.

Key words

Immunoglobulin gene VH CDR3 Antigen Pattern Stereotypy Subset Bioinformatics 



This work was supported in part by H2020 “AEGLE, An analytics framework for integrated and personalized healthcare services in Europe”, by the EU; “MEDGENET, Medical Genomics and Epigenomics Network” (No. 692298) by the EU; “TRANSCAN-179” NOVEL JTC 2016; and “Odysseus” implemented under the Action “Reinforcement of the Research and Innovation Infrastructure,” funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014–2020) and co-financed by Greece and the European Union (European Regional Development Fund). Andreas Agathangelidis is a recipient of a Fellowship for Postgraduate Research by the Hellenic Foundation for Research and Innovation.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Andreas Agathangelidis
    • 1
  • Fotis Psomopoulos
    • 1
  • Kostas Stamatopoulos
    • 1
    • 2
  1. 1.Institute of Applied Biosciences, Centre for Research and Technology HellasThessalonikiGreece
  2. 2.Department of Immunology, Genetics and PathologyUppsala UniversityUppsalaSweden

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