Mathematical modeling of <i>JAK2V617F</i> clonal expansion in a general population cohort
Abstract
The Philadelphia chromosome-negative myeloproliferative neoplasms (MPNs) are a group of blood cancers characterized by overproduction of one or more types of blood cells, which can lead to thrombosis and other complications. MPNs develop slowly and are driven by a relatively small set of mutations in the hematopoietic stem cells (HSCs). Their slow development (over the course of decades) affords a unique opportunity to study their onset, but until recently few data have been available from individuals not yet showing overt disease. Thanks to the ambitious Danish General Suburban Population Study conducted in suburban Zealand, Denmark, we have identified a ( n = 67 ) cohort of individuals harboring the most common driver mutation in MPN (namely JAK2V617F ) and have obtained follow-up measurements of their variant allele fraction (VAF) spanning over 10 y. We show that these data are consistent with a Moran model governing the competition between healthy and mutated HSCs, and estimate the selective advantage of the mutant clone for each individual. Notably, we find that for many individuals, the change in VAF over many years is statistically consistent with zero, or even negative, selective advantage. This is in contrast to prior studies that have focused on patients diagnosed with overt MPN disease, in whom the mutant cells are almost always found to outcompete the healthy cells. Our results have implications for our understanding of the very early phases of MPN disease, and may contribute to early detection and personalized prediction of disease progression.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (12)
Jordan Snyder
Department of Science and Environment, Centre for Mathematical Modeling - Human Health and Disease, IMFUFA, Roskilde University
Morten Andersen
Department of Science and Environment, Centre for Mathematical Modeling - Human Health and Disease, IMFUFA, Roskilde University
Johanne Gudmand-Høyer
Department of Science and Environment, Centre for Mathematical Modeling - Human Health and Disease, IMFUFA, Roskilde University
Morten Kranker Larsen
Department of Hematology, Zealand University Hospital
Vibe Skov
Department of Hematology, Zealand University Hospital
Lasse Kjær
Department of Hematology, Zealand University Hospital
Christina Schjellerup Eickhardt-Dalbøge
Department of Hematology, Zealand University Hospital
Trine A. Knudsen
Department of Hematology, Zealand University Hospital
Christina Ellervik
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen
Hans C. Hasselbalch
Department of Hematology, Zealand University Hospital
Johnny T. Ottesen
Department of Science and Environment, Centre for Mathematical Modeling - Human Health and Disease, IMFUFA, Roskilde University
Thomas Stiehl
Department of Science and Environment, Centre for Mathematical Modeling - Human Health and Disease, IMFUFA, Roskilde University