Beyond immune density: critical role of spatial heterogeneity in estrogen receptor-negative breast cancer
, Heindl A
, Koelble K, Yuan Y
Modern Pathology (2015)
Using a statistical method widely applied in crime
mapping, we quantify spatial clustering of cancer and
immune cells in breast tumours. Unexpectedly high levels of immune-cancer co-clustering
is indicative of favourable long-term prognosis in ER-
breast cancer, an aggressive cancer type.
An ecological measure of immune-cancer colocalization as a prognostic factor for breast cancer
Maley CC, Koelble K, Natrajan R, Aktipis A, Yuan Y
Breast Cancer Research (2015)
Ecological methods applied for the study predator-prey relationship are here used to quantify spatial colocalization of cancer and immune cells in routine histology samples. Through this application, new reproducible, quantitative measures can be found for identifying high-risk breast cancer patients.
Modelling the spatial heterogeneity and molecular correlates of lymphocytic infiltration in triple-negative breast cancer
Royal Society Interface (2015)
This paper reports the first fully automated, computer-assisted method
for scoring intratumour lymphocytes in breast cancer samples with
the fusion of high-throughput image processing and robust
Mapping spatial heterogeneity in the tumor
microenvironment: a new era for digital pathology
, Nawaz S
, Yuan Y
Laboratory Investigation (2015)
We review existing methods for analysing spatial
heterogeneity in the tumour microenvironment and how they may be
integrated with molecular profiling to help
further our understanding of the complex relationship between
cancer cells and the surrounding healthy tissue that can play a
pivotal role in tumour progression.
Computational pathology: Exploring the spatial dimension of tumor ecology
, Yuan Y
Cancer and normal cells exhibit both
co-operative and competitive relationships, analogous to living
organisms. Considering the tumour as an ecological habitat of cancer cells, we discuss
applications of ecological statistics to tumour histology data. This novel way of
studying the microenvironment can expand our knowledge of
cancer and reveal new clinical prognosticators.
Cold Spring Harbor Perspectives in Medicine
Spatial Heterogeneity in the Tumor Microenvironment
Cold Spring Harb Perspect Med. (2016)
There is a desperate need to understand influence of the tumor microenvironment on cancer development and evolution. Applying principles and quantitative methods from ecology can suggest novel solutions to fulfil this need. We discuss spatial heterogeneity as a fundamental biological feature of the microenvironment.