Gene expression profiling and immunoglobulin stereotypy in Burkitt lymphoma
The present work compilation discusses the creation of improved molecular lymphoma classifiers and studies the immunological properties of lymphoma antibodies. The first chapter of this thesis presents two improved aggressive B cell lymphoma classifiers based on a novel technology that does not require material amplification, avoiding quantification bias. In chapter two the former classifier is used to understand molecular labelling differences between BCL2-expressing and non-expressing BL. Chapters three and four focus on the humoral immunity aspect of lymphoma B cells and their B cell receptors. This thesis presents an improved tool for BL and DLBCL classification, which can be used for assessing basic science topics as well as avoiding diagnostic pitfalls. The type of IG in tumoral BL cells and their antigen affinity is assessed, pointing to an antigenic aetiology.