The Bodenmiller group publishes their work linking imaging mass cytometry to breast cancer genomics

Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer

Data-driven derivation of cellular identities reveals composition of tumor ecosystems.
Data-driven derivation of cellular identities reveals composition of tumor ecosystems.
Image: H R Ali, CRUK Cambridge Institute, University of Cambridge. Cover Design: Allen Beattie.

A better understanding of how genomic alterations influence cell phenotypes and the structure of tumor ecosystems will likely allow the identification of biomarkers and the development of new treatments. In this study, Raza Ali, Hartland Jackson and colleagues coupled imaging mass cytometry (IMC) to multi-platform genomics to study how genomic alterations shape breast tumor ecosystems, improving our understanding of how genomic alterations affect tumor cell phenotypes.

See Ali, Jackson et al, Nature Cancer