UNVEILING THE SPATIAL ORGANIZATION OF TUMOR-INFILTRATING LYMPHOCYTES AND CORRELATION TO CLINICAL OUTCOMES USING DEEP LEARNING IN ER POSITIVE BREAST CANCER
Kai‐Chih Huang, Alison Miller, Lexiang Ji, Monica S. Thanawala, John R. Wagner, Pearl S. Huang, Hongyue A. Dai · Journal of Pathology Informatics · 2022
tumor-infiltrating lymphocytes (TILs) in and around tumors in digital slides from TCGA.Results: This tool is generalizable and may be further applied to other structural features, such as vasculature.This enables integration of multiple types of image features with multi-omics data to uncover potential biological pathways that are regulated in groups with dense innervation compared to sparse innervation in cancer.Conclusion: This platform-based methodology can be expanded to other disease areas and could ultimately provide valuable insight about exoneural biology and its role in disease physiology to identify new avenues for therapies.