Spatial Measures of Genetic Heterogeneity During Carcinogenesis.

Published

Journal Article

In this work we explore the temporal dynamics of spatial heterogeneity during the process of tumorigenesis from healthy tissue. We utilize a spatial stochastic model of mutation accumulation and clonal expansion in a structured tissue to describe this process. Under a two-step tumorigenesis model, we first derive estimates of a non-spatial measure of diversity: Simpson's Index, which is the probability that two individuals sampled at random from the population are identical, in the premalignant population. We next analyze two new measures of spatial population heterogeneity. In particular we study the typical length scale of genetic heterogeneity during the carcinogenesis process and estimate the extent of a surrounding premalignant clone given a clinical observation of a premalignant point biopsy. This evolutionary framework contributes to a growing literature focused on developing a better understanding of the spatial population dynamics of cancer initiation and progression.

Full Text

Duke Authors

Cited Authors

  • Storey, K; Ryser, MD; Leder, K; Foo, J

Published Date

  • February 2017

Published In

Volume / Issue

  • 79 / 2

Start / End Page

  • 237 - 276

PubMed ID

  • 27905065

Pubmed Central ID

  • 27905065

Electronic International Standard Serial Number (EISSN)

  • 1522-9602

Digital Object Identifier (DOI)

  • 10.1007/s11538-016-0234-5

Language

  • eng

Conference Location

  • United States