Project description:Identify and track clonal evolution of clones in consecutive human chronic lymphocytic leukemia samples identified by whole exome sequencing.
Project description:Clonal and subclonal evolution is involved in the progression of chronic lymphocytic leukemia (CLL). Evolution can work to select not only genetic mutations, but also epigenetic states. Here we performed a long-term longitudinal DNA methylation profiling study of CLL patients to look for associations of epigenetic evolution to different disease courses. In line with the genetic data, large-scale methylation evolution was not present in any of the evaluated long-term untreated (n = 3) and relapsed (n = 2) patients displaying clonal changes of linear type while 3 of the 5 examined refractory patients featured profound changes in DNA methylation.
Project description:Genetic and epigenetic intra-tumoral heterogeneity cooperate to shape the evolutionary course of cancer. In addition to genetic mutations, chronic lymphocytic leukemia (CLL) undergoes diversification through stochastic DNA methylation changes – epimutations. To measure the epimutation rate at single-cell resolution, we applied multiplexed reduced representation bisulfite sequencing (MscRRBS) to healthy donors B cells and CLL patient samples. We observed that the common clonal CLL origin results in consistently elevated epimutation rate (i.e., low cell-to-cell epimutation rate variability). In contrast, variable epimutation rates across normal B cells reflect diverse evolutionary ages across the B cell differentiation trajectory, consistent with epimutations serving as a molecular clock. Heritable epimutation information allowed high-resolution lineage reconstruction with single-cell data, applicable directly to patient sample. CLL lineage tree shape revealed earlier branching and longer branch lengths than normal B cells, reflecting rapid drift after the initial malignant transformation and a greater proliferative history. To validate the inferred tree topology, we integrated MscRRBS with single-cell transcriptomes and genotyping, which confirmed that genetic subclones map to distinct clades inferred solely based on epimutation information. Lastly, to examine potential lineage biases during therapy, we profiled serial CLL samples prior to and during ibrutinib-associated lymphocytosis. Lineage trees revealed divergent clades of cells preferentially expelled from the lymph node with ibrutinib therapy, marked by distinct transcriptional profiles. These data offer direct single-cell integration of genetic, epigenetic and transcriptional information in the study of leukemia evolution, providing deeper insight into its lineage topology and enabling the charting of its evolution with therapy.
Project description:THis is a simple ordinary differential equation model describing chemoimmunotherapy of chronic lymphocytic leukemia, including descriptions of the combinatorial effects of chemotherapy and adoptive cellular immunotherapy.