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Nature DOI:10.1038/s41586-019-1252-x

Growth dynamics in naturally progressing chronic lymphocytic leukaemia.

Publication TypeJournal Article
Year of Publication2019
AuthorsGruber, M, Bozic, I, Leshchiner, I, Livitz, D, Stevenson, K, Rassenti, L, Rosebrock, D, Taylor-Weiner, A, Olive, O, Goyetche, R, Fernandes, SM, Sun, J, Stewart, C, Wong, A, Cibulskis, C, Zhang, W, Reiter, JG, Gerold, JM, Gribben, JG, Rai, KR, Keating, MJ, Brown, JR, Neuberg, D, Kipps, TJ, Nowak, MA, Getz, G, Wu, CJ
Date Published2019 Jun

How the genomic features of a patient's cancer relate to individual disease kinetics remains poorly understood. Here we used the indolent growth dynamics of chronic lymphocytic leukaemia (CLL) to analyse the growth rates and corresponding genomic patterns of leukaemia cells from 107 patients with CLL, spanning decades-long disease courses. We found that CLL commonly demonstrates not only exponential expansion but also logistic growth, which is sigmoidal and reaches a certain steady-state level. Each growth pattern was associated with marked differences in genetic composition, the pace of disease progression and the extent of clonal evolution. In a subset of patients, whose serial samples underwent next-generation sequencing, we found that dynamic changes in the disease course of CLL were shaped by the genetic events that were already present in the early slow-growing stages. Finally, by analysing the growth rates of subclones compared with their parental clones, we quantified the growth advantage conferred by putative CLL drivers in vivo.


Alternate JournalNature
PubMed ID31142838
PubMed Central IDPMC6630176
Grant ListU10 CA180861 / CA / NCI NIH HHS / United States
R01 HL103532 / HL / NHLBI NIH HHS / United States
P01 CA206978 / CA / NCI NIH HHS / United States
P01 CA081534 / CA / NCI NIH HHS / United States
R01 CA155010 / CA / NCI NIH HHS / United States