Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx<sup>®</sup> Digital Spatial Profiler

Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx<sup>®</sup> Digital Spatial Profiler

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...

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Bibliographic Details
Main Authors: 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, Yasser Riazalhosseini, Jennifer K. Richer, Özgür Sahin, Hiromi Sato, Ilana Schlam, Therese Sørlie, Daniel G. Stover, Sandra M. Swain, Alexander Swarbrick, E. Aubrey Thompson, Sara M. Tolaney, Sarah E. Warren, on behalf of the GeoMx Breast Cancer Consortium
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
breast cancer
spatial biology
RNA and protein profiling
GeoMx
digital spatial profiler
tumor microenvironment
Online Access:https://www.mdpi.com/2072-6694/13/17/4456

Internet

https://www.mdpi.com/2072-6694/13/17/4456

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