Study ID Alternative Stable ID Type
EGAS00000000098 Genotype/Expression array/H&E staines images

Study Description

Solid tumors are complex tissues composed of a mixture of cancer and normal cells, which complicates the interpretation of their molecular profiles. Normal cell contamination can dilute cancer cell information and tissue architecture is generally not reflected in molecular assays. To address these challenges, we developed a computational approach based on standard Haematoxylin and Eosin-stained sections and demonstrated its power in a discovery cohort of 323 breast tumors and an independent validation cohort of 241 tumors. First, to deconvolute cellular heterogeneity and detect subtle genomic aberrations, we introduced an algorithm based on tumor cellularity to increase the comparability of copy-number profiles between samples. Second, we demonstrated that a predictor for survival integrating image-based and molecular features significantly outperforms classifiers based on single data types. Third, we described and validated a novel, independent prognostic factor based on quantitative analysis of spatial patterns between stromal cells, which are not detectable by molecular assays. ... (Show More)

Study Datasets 3 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
Metabric breast cancer samples (Genotype raw data)
Affymetrix SNP 6.0 543
Metabric breast cancer samples (Expression raw data)
Illumina HT 12 543
Metabric breast cancer samples (Images)
Aperio image - H&E stained tissue_section 564

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