Journal article

Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx(R) Digital Spatial Profiler

Helga Bergholtz, Jodi M Carter, Alessandra Cesano, Maggie Chon U Cheang, Sarah E Church, Prajan Divakar, Christopher A Fuhrman, Shom Goel, Jingjing Gong, Jennifer L Guerriero, Margaret L Hoang, E Shelley Hwang, Hellen Kuasne, Jinho Lee, Yan Liang, Elizabeth A Mittendorf, Jessica Perez, Aleix Prat, Lajos Pusztai, Jason W Reeves Show all

CANCERS | MDPI | Published : 2021

Abstract

Breast cancer is a heterogenous disease with variability in tumor cells and in the surrounding tumor microenvironment (TME). Understanding the molecular diversity in breast cancer is critical for improving prediction of therapeutic response and prognostication. High-plex spatial profiling of tumors enables characterization of heterogeneity in the breast TME, which can holistically illuminate the biology of tumor growth, dissemination and, ultimately, response to therapy. The GeoMx Digital Spatial Profiler (DSP) enables researchers to spatially resolve and quantify proteins and RNA transcripts from tissue sections. The platform is compatible with both formalin-fixed paraffin-embedded and froz..

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