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LYMPHOMA-Modeling lymphoma pathogenesis in mice - from basic mechanisms to pre-clinical models

Activity Code: ERC-AG-LS6
Principal Investigator: Prof. Dr. Klaus Rajewsky
Host Institution: Max Delbrück Center for Molecular Medicine


Human B cell lymphomas including multiple myeloma and Hodgkins disease are frequent malignancies and a major clinical problem. Their high incidence is due to special features of normal B cell development that promote chromosomal translocations and other genetic alterations. Another contributing factor is Epstein-Barr-Virus (EBV), a B cell-transforming virus endemic in humans. EBV-infected cells are usually eliminated by the immune system, but in immunosuppressed (post-transplant or AIDS) patients, EBV infection spreads and drives lymphomagenesis. We have generated a novel genetic tool that allows us to introduce combinations of loss- and gain-of-function mutations specifically into B cells in the mouse, to analyze the cooperation of oncogenic factors thought to contribute to B lymphomagenesis in humans. The unique feature of this method is that only a small fraction of cells is mutated (mimicking the sporadic nature of somatic cancerogenesis) and that cells having acquired either single or combined mutations can be observed side-by-side. Using a large set of mutant alleles, we will test whether the interplay of certain combinations of survival, proliferation and differentiation signals determines the development of different classes of human B cell malignancies. A special focus is on Hodgkin¿s disease, where EBV infection and genetic reprogramming play a critical role. We will also investigate the mechanism of immune surveillance of EBV-infected B cells and EBV-driven B cell lymphomas. Ultimately we hope to elucidate key pathways of lymphoma pathogenesis, identify novel contributing mutations, and generate preclinical mouse models to assess therapeutic strategies and mechanisms of tumor immune surveillance.

Project Details:

Start Date: 01.07.2011
End Date: 30.06.2016
Funding Scheme: ERC Advanced Grant 2010