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SUMMARY:Mathematical modelling of naturally occurring epigenetic barcodes 
 as a tool to resolve clonal dynamics in cancer
DTSTART;TZID=Europe/London:20261127T110000
DTEND;TZID=Europe/London:20261127T120000
DTSTAMP:20260813T175546Z
UID:f9f20bb0-9591-f111-8077-7c1e52784f9c
CREATED:20260806T125238Z
DESCRIPTION:Evolution underlies the transformation of a normal cell to a c
 ancer\, yet learning the parameters defining this dynamic process from sin
 gle-timepoint bulk samples is an open challenge. To understand how cancer 
 cells evolve in vivo\, we must rely on naturally occurring\, heritable lin
 eage tracing markers that encode the evolutionary history of a population 
 of cells. Here\, I shall introduce our work on identifying selectively neu
 tral “epigenetic barcodes” and employing them as a molecular clock. By
  coupling this process with mathematical modelling and Bayesian inference\
 , we characterised the evolutionary history of almost 2000 lymphoid cancer
 s (Gabbutt et al.\, 2025). Across a broad range of cancer types\, we demon
 strated that tumour growth rates and malignancy ages differed by orders of
  magnitude. In 2 independent cohorts of patients with chronic lymphocytic 
 leukaemia (CLL)\, a typically indolent and slow growing cancer\, the infer
 red growth rates were highly prognostic. I shall further discuss recent wo
 rk applying this approach to resolve the clonal relationship between acute
  myeloid leukaemia (AML) blasts and differentiated neutrophils in patients
  without bone marrow failure.
LAST-MODIFIED:20260806T130006Z
LOCATION:Mathematical Institute - L4\, L4 Mathematical Institute Woodstock
  Road Oxford Oxfordshire OX2 6GG United Kingdom
SPEAKER:Prof Calum Gabbutt (Department of Immunology and Inflammation Impe
 rial College London)
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