Singhal and colleagues apply quantitative automated image analysis to investigate the role of a transcriptional regulator, Kaiso, in a diverse cohort of breast cancer tumors. Specifically, they utilized the Highplex FL Module with the Tissue Microarray Module of HALO to characterize the tumor microenvironment in breast cancer TMA cores, including pan-cytokeratin, PD-L1, CD8, and CD68. They found that cytoplasmic Kaiso is associated with an immune-suppressed tumor microenvironment and found novel connections between Kaiso and autophagy-related proteins LC3A/B that are associated with breast cancer subtype and survival. The mechanism(s) by which Kaiso promotes tumor progression will require future investigation.