Modelling the spatial heterogeneity and molecular correlates of lymphocytic infiltration in triple-negative breast cancer.

ABSTRACT: Lymphocytic infiltration is associated with a favourable prognosis and predicts response to chemotherapy in many cancer types, including the aggressive triple-negative breast cancer (TNBC). However, it is not well understood owing to the high levels of spatial heterogeneity within tumours, which is difficult to analyse by traditional pathological assessment. This paper describes an unbiased methodology to statistically model the spatial distribution of lymphocytes among tumour cells based on automated analysis of haematoxylin-and-eosin-stained whole-tumour section images, which is applied to two independent TNBC cohorts of 181 patients with matched microarray gene expression data. The novelty of the proposed methodology is the fusion of image analysis and statistical modelling for an integ

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC4305416 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature