An Autochthonous Mouse Model of Myd88- and BCL2-Driven Diffuse Large B-cell Lymphoma Reveals Actionable Molecular Vulnerabilities

Myd88 和 BCL2 驱动的弥漫性大 B 细胞淋巴瘤的自体小鼠模型揭示了可操作的分子脆弱性

阅读:1
作者:Ruth Flümann # ,Tim Rehkämper # ,Pascal Nieper # ,Pauline Pfeiffer ,Alessandra Holzem ,Sebastian Klein ,Sanil Bhatia ,Moritz Kochanek ,Ilmars Kisis ,Benedikt W Pelzer ,Heinz Ahlert ,Julia Hauer ,Alexandra da Palma Guerreiro ,Jeremy A Ryan ,Maurice Reimann ,Arina Riabinska ,Janica Wiederstein ,Marcus Krüger ,Martina Deckert ,Janine Altmüller ,Andreas R Klatt ,Lukas P Frenzel ,Laura Pasqualucci ,Wendy Béguelin ,Ari M Melnick ,Sandrine Sander ,Manuel Montesinos-Rongen ,Anna Brunn ,Philipp Lohneis ,Reinhard Büttner ,Hamid Kashkar ,Arndt Borkhardt ,Anthony Letai ,Thorsten Persigehl ,Martin Peifer ,Clemens A Schmitt ,Hans Christian Reinhardt # ,Gero Knittel #

Abstract

Based on gene expression profiles, diffuse large B cell lymphoma (DLBCL) is sub-divided into germinal center B cell-like (GCB) and activated B cell-like (ABC) DLBCL. Two of the most common genomic aberrations in ABC-DLBCL are mutations in MYD88, as well as BCL2 copy number gains. Here, we employ immune phenotyping, RNA-Seq and whole exome sequencing to characterize a Myd88 and Bcl2-driven mouse model of ABC-DLBCL. We show that this model resembles features of human ABC-DLBCL. We further demonstrate an actionable dependence of our murine ABC-DLBCL model on BCL2. This BCL2 dependence was also detectable in human ABC-DLBCL cell lines. Moreover, human ABC-DLBCLs displayed increased PD-L1 expression, compared to GCB-DLBCL. In vivo experiments in our ABC-DLBCL model showed that combined venetoclax and RMP1-14 significantly increased the overall survival of lymphoma bearing animals, indicating that this combination may be a viable option for selected human ABC-DLBCL cases harboring MYD88 and BCL2 aberrations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。