Chapter title |
Chronic Lymphocytic Leukemia Patient Clustering Based on Somatic Hypermutation (SHM) Analysis
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Chapter number | 10 |
Book title |
GeNeDis 2016
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Published in |
Advances in experimental medicine and biology, January 2017
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DOI | 10.1007/978-3-319-56246-9_10 |
Pubmed ID | |
Book ISBNs |
978-3-31-956245-2, 978-3-31-956246-9
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Authors |
Eleftheria Polychronidou, Aliki Xochelli, Panagiotis Moschonas, Stavros Papadopoulos, Anastasia Hatzidimitriou, Panayiotis Vlamos, Kostas Stamatopoulos, Dimitrios Tzovaras |
Abstract |
Somatic Hypermutation (SHM) load in the immunoglobulin heavy variable (IGHV) gene of the clonotypic B cell receptor immunoglobulin (BcR IG) is one of the most important prognostic markers in CLL, segregating patients into two distinct categories, with contrariwise disease course. Over the last years, immunogenetic studies have identified that ∼30% of CLL patients carry (quasi)identical BcR IG and thus can be assigned to different subsets with distinct clinicobiological profiles. This characterization was achieved by applying rules mainly concerning the diversity of the VH complementarity determining region 3 (CDR3). Following, studies have also identified subset-specific somatic hypermutation further highlighting antigen selection in disease ontogeny and evolution. In this study, an innovative attempt to explore possible associations amongst SHMs in different CLL patients is implemented and also the potential correlations with VH CDR3 stereotypy is examined, leading to a new classification algorithm implicating both SHM and CDR3 patterns. All results are classified to a ground level analysis, focusing on the most frequent SHMs, their paired associated amino acid changes and the formation of subgroups sharing the same VH CDR3 pattern, the latter being used as a similarity metric. In addition, all results are compared to established VH CDR3 patterns of the well-known CLL subsets in order to confirm the validity of our findings. |
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