In VivoModeling of CLL Transformation to Richter Syndrome Reveals Convergent Evolutionary Paths and Therapeutic Vulnerabilities

Author:

ten Hacken Elisa12ORCID,Sewastianik Tomasz234ORCID,Yin Shanye12ORCID,Hoffmann Gabriela Brunsting1ORCID,Gruber Michaela5ORCID,Clement Kendell678ORCID,Penter Livius19ORCID,Redd Robert A.10ORCID,Ruthen Neil11ORCID,Hergalant Sébastien12ORCID,Sholokhova Alanna13ORCID,Fell Geoffrey10ORCID,Parry Erin M.1214ORCID,Broséus Julien1215ORCID,Guieze Romain16ORCID,Lucas Fabienne217ORCID,Hernández-Sánchez María18ORCID,Baranowski Kaitlyn1ORCID,Southard Jackson11ORCID,Joyal Heather1ORCID,Billington Leah1ORCID,Regis Fara Faye D.1ORCID,Witten Elizabeth1ORCID,Uduman Mohamed10ORCID,Knisbacher Binyamin A.619ORCID,Li Shuqiang611ORCID,Lyu Haoxiang11ORCID,Vaisitti Tiziana20ORCID,Deaglio Silvia20ORCID,Inghirami Giorgio21ORCID,Feugier Pierre1215ORCID,Stilgenbauer Stephan22ORCID,Tausch Eugen22ORCID,Davids Matthew S.1214ORCID,Getz Gad623ORCID,Livak Kenneth J.611ORCID,Bozic Ivana13ORCID,Neuberg Donna S.10ORCID,Carrasco Ruben D.2317ORCID,Wu Catherine J.12614ORCID

Affiliation:

1. 1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

2. 2Harvard Medical School, Boston, Massachusetts.

3. 3Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.

4. 4Department of Experimental Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland.

5. 5CEMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.

6. 6Broad Institute of MIT and Harvard, Cambridge, Massachusetts.

7. 7Molecular Pathology Unit, Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, Massachusetts.

8. 8Department of Pathology, Harvard Medical School, Boston, Massachusetts.

9. 9Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité – Universitätsmedizin Berlin (corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin), Berlin, Germany.

10. 10Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.

11. 11Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, Massachusetts.

12. 12Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France.

13. 13Department of Applied Mathematics, University of Washington, Seattle, Washington.

14. 14Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.

15. 15Université de Lorraine, CHRU-Nancy, Service d'Hématologie Biologique, Pôle Laboratoires, Nancy, France.

16. 16CHU Clermont Ferrand, Clermont Ferrand, France.

17. 17Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.

18. 18Department of Biochemistry and Molecular Biology, Pharmacy School, Universidad Complutense de Madrid, Madrid, Spain.

19. 19Cancer Research Center, Sheba Medical Center, Tel Hashomer, Israel.

20. 20Department of Medical Sciences, University of Torino, Turin, Italy.

21. 21Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York.

22. 22Department III of Internal Medicine III, Division of CLL, Ulm University, Ulm, Germany.

23. 23Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.

Abstract

AbstractTransformation 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 syndrome (RS)]. Evolutionary trajectories of 64 mice carrying diverse combinatorial gene assortments revealed coselection 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, downmodulation of the PTEN phosphatase, 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.Significance:Mouse models reflective of the genetic complexity and heterogeneity of human tumors remain few, including those able to recapitulate transformation to aggressive disease histologies. Herein, we model CLL transformation into RS through multiplexed in vivo gene editing, providing key insight into the pathophysiology and therapeutic vulnerabilities of transformed disease.This article is highlighted in the In This Issue feature, p. 101

Funder

American Society of Hematology

Cancer Moonshot

Publisher

American Association for Cancer Research (AACR)

Subject

General Medicine

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