Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912807724> ?p ?o ?g. }
- W2912807724 endingPage "1052" @default.
- W2912807724 startingPage "1042" @default.
- W2912807724 abstract "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." @default.
- W2912807724 created "2019-02-21" @default.
- W2912807724 creator A5009630355 @default.
- W2912807724 creator A5053110552 @default.
- W2912807724 creator A5067287697 @default.
- W2912807724 creator A5076510325 @default.
- W2912807724 creator A5091805424 @default.
- W2912807724 date "2019-07-01" @default.
- W2912807724 modified "2023-09-29" @default.
- W2912807724 title "Specific immune cell and lymphatic vessel signatures identified by image analysis in renal cancer" @default.
- W2912807724 cites W1859257957 @default.
- W2912807724 cites W1970533516 @default.
- W2912807724 cites W1974683176 @default.
- W2912807724 cites W1976112507 @default.
- W2912807724 cites W1986935067 @default.
- W2912807724 cites W1987029196 @default.
- W2912807724 cites W1991408439 @default.
- W2912807724 cites W1999966467 @default.
- W2912807724 cites W2004630197 @default.
- W2912807724 cites W2005145333 @default.
- W2912807724 cites W2010679818 @default.
- W2912807724 cites W2016941384 @default.
- W2912807724 cites W2019605179 @default.
- W2912807724 cites W2047176521 @default.
- W2912807724 cites W2049174840 @default.
- W2912807724 cites W2049491375 @default.
- W2912807724 cites W2058631111 @default.
- W2912807724 cites W2060070314 @default.
- W2912807724 cites W2063204257 @default.
- W2912807724 cites W2063760352 @default.
- W2912807724 cites W2065654855 @default.
- W2912807724 cites W2068408290 @default.
- W2912807724 cites W2068662203 @default.
- W2912807724 cites W2068839905 @default.
- W2912807724 cites W2071478196 @default.
- W2912807724 cites W2072997207 @default.
- W2912807724 cites W2084255175 @default.
- W2912807724 cites W2086422578 @default.
- W2912807724 cites W2100669312 @default.
- W2912807724 cites W2101637500 @default.
- W2912807724 cites W2106021780 @default.
- W2912807724 cites W2107508046 @default.
- W2912807724 cites W2141269240 @default.
- W2912807724 cites W2142173484 @default.
- W2912807724 cites W2149163652 @default.
- W2912807724 cites W2149456801 @default.
- W2912807724 cites W2150932549 @default.
- W2912807724 cites W2154697747 @default.
- W2912807724 cites W2156262303 @default.
- W2912807724 cites W2160834915 @default.
- W2912807724 cites W2162424705 @default.
- W2912807724 cites W2222086386 @default.
- W2912807724 cites W2233818050 @default.
- W2912807724 cites W2294942235 @default.
- W2912807724 cites W2338576144 @default.
- W2912807724 cites W2346108121 @default.
- W2912807724 cites W2442400524 @default.
- W2912807724 cites W2473212158 @default.
- W2912807724 cites W2585491011 @default.
- W2912807724 cites W2589053981 @default.
- W2912807724 cites W2615709729 @default.
- W2912807724 cites W2735904407 @default.
- W2912807724 cites W2765628015 @default.
- W2912807724 cites W2795282902 @default.
- W2912807724 cites W2805721567 @default.
- W2912807724 cites W2887025562 @default.
- W2912807724 doi "https://doi.org/10.1038/s41379-019-0214-z" @default.
- W2912807724 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30737470" @default.
- W2912807724 hasPublicationYear "2019" @default.
- W2912807724 type Work @default.
- W2912807724 sameAs 2912807724 @default.
- W2912807724 citedByCount "12" @default.
- W2912807724 countsByYear W29128077242019 @default.
- W2912807724 countsByYear W29128077242020 @default.
- W2912807724 countsByYear W29128077242021 @default.
- W2912807724 countsByYear W29128077242023 @default.
- W2912807724 crossrefType "journal-article" @default.
- W2912807724 hasAuthorship W2912807724A5009630355 @default.
- W2912807724 hasAuthorship W2912807724A5053110552 @default.
- W2912807724 hasAuthorship W2912807724A5067287697 @default.
- W2912807724 hasAuthorship W2912807724A5076510325 @default.
- W2912807724 hasAuthorship W2912807724A5091805424 @default.
- W2912807724 hasBestOaLocation W29128077241 @default.
- W2912807724 hasConcept C10205521 @default.
- W2912807724 hasConcept C111758988 @default.
- W2912807724 hasConcept C121608353 @default.
- W2912807724 hasConcept C126322002 @default.
- W2912807724 hasConcept C142724271 @default.
- W2912807724 hasConcept C167672396 @default.
- W2912807724 hasConcept C181152851 @default.
- W2912807724 hasConcept C203014093 @default.
- W2912807724 hasConcept C204232928 @default.
- W2912807724 hasConcept C2776107976 @default.
- W2912807724 hasConcept C2776460901 @default.
- W2912807724 hasConcept C2777472916 @default.
- W2912807724 hasConcept C2778326572 @default.
- W2912807724 hasConcept C2779013556 @default.
- W2912807724 hasConcept C2779395532 @default.