In vivo modeling of CLL transformation to Richter's syndrome reveals convergent evolutionary paths and therapeutic vulnerabilities.
Elisa Ten HackenTomasz SewastianikShanye YinGabriela Brunsting HoffmannMichaela GruberM Kendell ClementLivius PenterRobert A ReddNeil RuthenSebastien HergalantAlanna SholokhovaGeoffrey G FellErin M ParryJulien BroseusRomain GuiezeJennifer A WoyachMaría Hernández-SánchezKaitlyn BaranowskiJackson SouthardHeather JoyalLeah BillingtonFara Faye D RegisElizabeth WittenMohamed UdumanBinyamin Asher KnisbacherShuqiang LiHaoxiang LyuTiziana VaisittiSilvia DeaglioGiorgio Ga InghiramiPierre FeugierStephan StilgenbauerEugen TauschMatthew S DavidsGad A GetzKenneth J LivakIvana BozicDonna S NeubergRuben D CarrascoCatherine J WuPublished in: Blood cancer discovery (2022)
Transformation to aggressive disease histologies generates formidable clinical challenges across cancers, but biological insights remain few. We modeled the genetic heterogeneity of chronic lymphocytic leukemia (CLL) through multiplexed in vivo CRISPR-Cas9 B-cell editing of recurrent CLL loss-of-function drivers in mice, and recapitulated the process of transformation from indolent CLL into large cell lymphoma (i.e. Richter's syndrome [RS]). Evolutionary trajectories of 64 mice carrying diverse combinatorial gene assortments revealed co-selection of mutations in Trp53, Mga, and Chd2 and the dual impact of clonal Mga/Chd2 mutations on E2F/MYC and interferon signaling dysregulation. Comparative human and murine RS analyses demonstrated tonic PI3K signaling as a key feature of transformed disease, with constitutive activation of the AKT and S6 kinases, down-modulation of the receptor phosphatase PTEN, and convergent activation of MYC/PI3K transcriptional programs underlying enhanced sensitivity to MYC/mTOR/PI3K inhibition. This robust experimental system presents a unique framework to study lymphoid biology and therapy.
Keyphrases
- chronic lymphocytic leukemia
- crispr cas
- single cell
- genome wide
- transcription factor
- genome editing
- cell proliferation
- high fat diet induced
- endothelial cells
- copy number
- dna methylation
- machine learning
- gene expression
- depressive symptoms
- public health
- signaling pathway
- cell therapy
- deep learning
- dendritic cells
- diffuse large b cell lymphoma
- insulin resistance
- wild type
- induced pluripotent stem cells
- mesenchymal stem cells
- skeletal muscle
- immune response
- young adults
- heat shock
- childhood cancer