Over the past two decades, genomic analyses of several B-cell lymphoma entities have identified a large number of genes that are recurrently mutated, suggesting that their aberrant function promotes lymphomagenesis. For many of those genes, the specific role in normal B-cell development is unknown; moreover, whether and how their deregulated activity contributes to lymphoma initiation and/or maintenance is often difficult to determine. Genetically engineered mouse models that faithfully mimic lymphoma-associated genetic alterations represent valuable tools for elucidating the pathogenic roles of candidate oncogenes and tumor suppressors in vivo, as well as for the preclinical testing of novel therapeutic principles in an intact microenvironment. Here we summarize what has been learned about the mechanisms of oncogenic transformation from accurately modeling the most common and well-characterized genetic alterations identified in mature B-cell malignancies. This information is expected to guide the design of improved molecular diagnostics and mechanism-based therapeutic approaches for these diseases.

Mouse Models in the Study of Mature B-Cell Malignancies

Pasqualucci, Laura
;
2021

Abstract

Over the past two decades, genomic analyses of several B-cell lymphoma entities have identified a large number of genes that are recurrently mutated, suggesting that their aberrant function promotes lymphomagenesis. For many of those genes, the specific role in normal B-cell development is unknown; moreover, whether and how their deregulated activity contributes to lymphoma initiation and/or maintenance is often difficult to determine. Genetically engineered mouse models that faithfully mimic lymphoma-associated genetic alterations represent valuable tools for elucidating the pathogenic roles of candidate oncogenes and tumor suppressors in vivo, as well as for the preclinical testing of novel therapeutic principles in an intact microenvironment. Here we summarize what has been learned about the mechanisms of oncogenic transformation from accurately modeling the most common and well-characterized genetic alterations identified in mature B-cell malignancies. This information is expected to guide the design of improved molecular diagnostics and mechanism-based therapeutic approaches for these diseases.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1566607
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