Ontology highlight
ABSTRACT:
SUBMITTER: Ing N
PROVIDER: S-EPMC5643431 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Ing Nathan N Huang Fangjin F Conley Andrew A You Sungyong S Ma Zhaoxuan Z Klimov Sergey S Ohe Chisato C Yuan Xiaopu X Amin Mahul B MB Figlin Robert R Gertych Arkadiusz A Knudsen Beatrice S BS
Scientific reports 20171016 1
Gene expression signatures are commonly used as predictive biomarkers, but do not capture structural features within the tissue architecture. Here we apply a 2-step machine learning framework for quantitative imaging of tumor vasculature to derive a spatially informed, prognostic gene signature. The trained algorithms classify endothelial cells and generate a vascular area mask (VAM) in H&E micrographs of clear cell renal cell carcinoma (ccRCC) cases from The Cancer Genome Atlas (TCGA). Quantifi ...[more]