Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome

Erin M. Parry, Ignaty Leshchiner, Romain Guièze, Connor Johnson, Eugen Tausch, Sameer A. Parikh, Camilla Lemvigh, Julien Broséus, Sébastien Hergalant, Conor Messer, Filippo Utro, Chaya Levovitz, Kahn Rhrissorrakrai, Liang Li, Daniel Rosebrock, Shanye Yin, Stephanie Deng, Kara Slowik, Raquel Jacobs, Teddy HuangShuqiang Li, Geoff Fell, Robert Redd, Ziao Lin, Binyamin A. Knisbacher, Dimitri Livitz, Christof Schneider, Neil Ruthen, Liudmila Elagina, Amaro Taylor-Weiner, Bria Persaud, Aina Martinez, Stacey M. Fernandes, Noelia Purroy, Annabelle J. Anandappa, Jialin Ma, Julian Hess, Laura Z. Rassenti, Thomas J. Kipps, Nitin Jain, William Wierda, Florence Cymbalista, Pierre Feugier, Neil E. Kay, Kenneth J. Livak, Brian P. Danysh, Chip Stewart, Donna Neuberg, Matthew S. Davids, Jennifer R. Brown, Laxmi Parida, Stephan Stilgenbauer, Gad Getz, Catherine J. Wu

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Richter syndrome (RS) arising from chronic lymphocytic leukemia (CLL) exemplifies an aggressive malignancy that develops from an indolent neoplasm. To decipher the genetics underlying this transformation, we computationally deconvoluted admixtures of CLL and RS cells from 52 patients with RS, evaluating paired CLL–RS whole-exome sequencing data. We discovered RS-specific somatic driver mutations (including IRF2BP2, SRSF1, B2M, DNMT3A and CCND3), recurrent copy-number alterations beyond del(9p21)(CDKN2A/B), whole-genome duplication and chromothripsis, which were confirmed in 45 independent RS cases and in an external set of RS whole genomes. Through unsupervised clustering, clonally related RS was largely distinct from diffuse large B cell lymphoma. We distinguished pathways that were dysregulated in RS versus CLL, and detected clonal evolution of transformation at single-cell resolution, identifying intermediate cell states. Our study defines distinct molecular subtypes of RS and highlights cell-free DNA analysis as a potential tool for early diagnosis and monitoring.

Original languageEnglish
Pages (from-to)158-169
Number of pages12
JournalNature Medicine
Volume29
Issue number1
DOIs
StatePublished - Jan 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Nature America, Inc.

Funding

We thank C. Hahn, E. Ten Hacken, W. Zhang, S. Gohil and L. Werner for helpful discussions. We thank C. Patterson, S. Pollock, O. Olive, C. J. Shaughnessy, F. Dao and H. Lyon for assistance in data collection and organization and S. Belkin and C. Birger for assistance in data storage. We thank T. Lehmberg, M. McDonough, C. Galler and M. Collins for assistance in sample collection and biobanking. We thank the patients, their families and the investigators of the clinical trials for providing samples and clinical data. This study was supported by NIH/NCI P01 CA206978 (to C.J.W. and G.G.) and NCI (1U10CA180861-01) (to C.J.W.). The work is partially supported by the Broad/IBM Cancer Resistance Research Project (I.L., G.G. and L.P.) and a grant from Force Hemato (R.G.). Individual support was provided by DDCF Physician-Scientist Fellowship (E.M.P.), Dana-Farber Flames FLAIR fellowship (E.M.P.), ASCO Conquer Cancer Young Investigator Award (E.M.P.), Fishman Family Fund (R.G. and C.L.), EMBO fellowship ALTF 14-2018 (B.A.K.), NCI Research Specialist Award R50CA251956 (S.L.) and NIH/NCI R21CA267527-01 (S.Y.). Additional research support was provided by NIH R01 CA213442 (J.R.B.), Melton Family Foundation (J.R.B.), NIH/NCI R01-CA236361 (T.J.K.) and the Deutsche Forschungsgemeinschaft (DFG) SFB1074 subprojects B10 (E.T.) and subprojects B1 and B2 (E.T., C.S. and S.S.)

FundersFunder number
ASCO Conquer Cancer
Dana-Farber Flames
Fishman Family Fund
Force Hemato
Melton Family FoundationR01-CA236361
National Institutes of Health
National Cancer InstituteP01 CA206978, 1U10CA180861-01
Doris Duke Charitable Foundation
European Molecular Biology OrganizationR50CA251956, ALTF 14-2018, R21CA267527-01, R01 CA213442
Deutsche ForschungsgemeinschaftSFB1074

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