cad a22 4500 56930315X 20190808040302.0 cr unu---uuuuu 190726e20190208xx s 000 0 eng 10.5167/uzh-171729 doi 10.1038/s41379-019-0214-z doi (ZORA)oai:www.zora.uzh.ch:171729 610 ddc 30737470 pmid Specific immune cell and lymphatic vessel signatures identified by image analysis in renal cancer [Elektronische Daten] [Peter Schraml, Maria Athelogou, Thomas Hermanns, Ralf Huss, Holger Moch] closedAccess eu-repo Anti-angiogenic therapy and immune checkpoint inhibition are novel treatment strategies for patients with renal cell carcinoma. Various components and structures of the tumor microenvironment are potential predictive biomarkers and also attractive treatment targets. Macrophages, tumor infiltrating lymphocytes, vascular and lymphatic vessels represent an important part of the tumor immune environment, but their functional phenotypes and relevance for clinical outcome are yet ill defined. We applied Tissue Phenomics methods including image analysis for the standardized quantification of specific components and structures within the tumor microenvironment to profile tissue sections from 56 clear cell renal cell carcinoma patients. A characteristic composition and unique spatial relationship of CD68+ macrophages and tumor infiltrating lymphocytes correlated with overall survival. An inverse relationship was found between vascular (CD34) and lymphatic vessel (LYVE1) density. In addition, outcome was significantly better in patients with high blood vessel density in the tumors, whereas increased lymphatic vessel density in the tumors was associated with worse outcome. The Tissue Phenomics imaging analysis approach allowed visualization and simultaneous quantification of immune environment components, adding novel contextual information, and biological insights with potential applications in treatment response prediction. Institute of Pathology and Molecular Pathology zora Urological Clinic zora Schraml Peter joint author Athelogou Maria joint author Hermanns Thomas joint author Huss Ralf joint author Moch Holger joint author Modern Pathology 32(7):1042-1052 https://www.zora.uzh.ch/id/eprint/171729/1/Schraml_modern_pathology_2019.pdf text/html WWW-Backlink auf das Repository 1 Journal Article PeerReviewed zora ZORA 856 40 https://www.zora.uzh.ch/id/eprint/171729/1/Schraml_modern_pathology_2019.pdf text/html WWW-Backlink auf das Repository ZORA 700 1- Schraml Peter joint author ZORA 700 1- Athelogou Maria joint author ZORA 700 1- Hermanns Thomas joint author ZORA 700 1- Huss Ralf joint author ZORA 700 1- Moch Holger joint author ZORA 773 0- Modern Pathology 32(7):1042-1052 BK010053 XK010053 XK010000 ZORA ZORA ZORA Journal Article closedAccess