Translational Technologies

Informatics Tools for Tumor Heterogeneity in Multiplexed Fluorescence Images

Spatial relationships among cells in tissues are key contributors to heterogeneity, especially regarding the tumor microenvironment (TME).  We have implemented a statistical approach using pointwise mutual information to visually represent spatial heterogeneity in a two-dimensional map.  This approach is generalizable to highly multiplexed immunofluorescent images and promises to uncover important spatial interactions within the TME that contribute to disease proliferation and progression.  Further, by quantifying spatial heterogeneity in clinical tumor samples, spatial relationships can be correlated with response to therapy (Spagnolo et al.  Pointwise Mutual Information Quantifies Intra-Tumor Heterogeneity in Tissue Sections Labeled with Multiple Fluorescent Biomarkers.  2016, JPI (In Press))