Sandeep K Singhal, Jung S Byun, Samson Park, Tingfen Yan, Ryan Yancey, Ambar Caban, Sara Gil Hernandez, Stephen M Hewitt, Heike Boisvert, Stephanie Hennek, Mark Bobrow, Md Shakir Uddin Ahmed, Jason White, Clayton Yates, Andrew Aukerman, Rami Vanguri, Rohan Bareja, Romina Lenci, Paula Lucia Farré, Adriana De Siervi, Anna María Nápoles, Nasreen Vohra, Kevin Gardner
The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States...
February 1, 2021: Communications Biology