Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer.

ABSTRACT: Prostate cancer is a common cancer type in men, yet some of its traits are still under-explored. One reason for this is high molecular and morphological heterogeneity. The purpose of this study was to develop a method to gain new insights into the connection between morphological changes and underlying molecular patterns. We used artificial intelligence (AI) to analyze the morphology of seven hematoxylin and eosin (H&E)-stained prostatectomy slides from a patient with multi-focal prostate cancer. We also paired the slides with spatially resolved expression for thousands of genes obtained by a novel spatial transcriptomics (ST) technique. As both spaces are highly dimensional, we focused on dimensionality reduction before seeking associations between them. Consequently, we extracted morphol

SUBMITTER: Chelebian E 

PROVIDER: S-EPMC8507756 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature