Journal
CANCER LETTERS
Volume 380, Issue 1, Pages 296-303Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.canlet.2015.11.018
Keywords
Tumor microenvironment; Symbiosis; Histology; Geospatial statistics; Image analysis
Categories
Funding
- Engineering and Physical Sciences Research Council [1367362] Funding Source: researchfish
- Wellcome Trust [105104] Funding Source: Medline
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Tumors are evolving ecosystems where cancer subclones and the microenvironment interact. This is analogous to interaction dynamics between species in their natural habitats, which is a prime area of study in ecology. Spatial statistics are frequently used in ecological studies to infer complex relations including predator-prey, resource dependency and co-evolution. Recently, the emerging field of computational pathology has enabled high-throughput spatial analysis by using image processing to identify different cell types and their locations within histological tumor samples. We discuss how these data may be analyzed with spatial statistics used in ecology to reveal patterns and advance our understanding of ecological interactions occurring among cancer cells and their microenvironment. (C) 2015 The Authors. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY-NC-ND license.
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