Abstract

You have accessJournal of UrologyCME1 May 2022PD01-11 CHARACTERIZATION OF WILMS TUMOR AND HUMAN FETAL KIDNEY USING SPATIAL TRANSCRIPTOMICS Astgik Petrosyan, Valentina Villani, Paola Aguiari, Matthew Thornton, Zhou Shengmei, Brendan Grubbs, Marie Csete, Roger De Filippo, Kevin Lemley, Sargis Sedrakyan, Stefano Da Sacco, and Laura Perin Astgik PetrosyanAstgik Petrosyan More articles by this author , Valentina VillaniValentina Villani More articles by this author , Paola AguiariPaola Aguiari More articles by this author , Matthew ThorntonMatthew Thornton More articles by this author , Zhou ShengmeiZhou Shengmei More articles by this author , Brendan GrubbsBrendan Grubbs More articles by this author , Marie CseteMarie Csete More articles by this author , Roger De FilippoRoger De Filippo More articles by this author , Kevin LemleyKevin Lemley More articles by this author , Sargis SedrakyanSargis Sedrakyan More articles by this author , Stefano Da SaccoStefano Da Sacco More articles by this author , and Laura PerinLaura Perin More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002516.11AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Growing evidence links Wilms tumor (WT) to aberrant nephrogenesis. Studies highlighted the genetic complexity of WT, but little is known about the molecular mechanisms that regulate WT development. Using Spatial transcriptomics (ST), which allows analysis of the gene expression based on morphological context, we showed important differences between WT subtypes and defined the interactive gene networks involved in WT development using human fetal kidney (hFK) as reference. METHODS: Using Visium 10x Genomics, we generated spatial maps of gene expression in human fetal kidney (hFK) andfavorable (stage III) and unfavorable (stage I) WTs. Data were analyzed using Space Ranger software v1.0.0, Seurat v3.2, Panther V14, and Loupe Cell Browser and further analyzed against our previously generated bulk/sc-RNA seq data on the same samples. RESULTS: ST identified specific clusters in hFK that closely recapitulated the developmental stages of normal nephrogenesis (nephrogenic zone, glomeruli, tubules, and stroma). Unfavorable WT and favorable WT clusters showed heterogeneity of the tumor landscape (blastema, epithelium, and stroma and non-renal phenotypes). Blastema in WT favorable vs. WT unfavorable, though histologically identical, presented different transcriptomics profiles. WTs also showed gene expression typical of muscle tissue (or other non-renal phenotypes) rather than mature kidney structures, which correlated with the histologic absence of mature tubules and glomeruli. Comparative RNA-seq analysis identified cells expressing SIX2 and CITED1 as the root cells of the origin of the WT. Unfavorable WT expressed a higher level of CITED1 in blastema foci and higher expression of uncommitted genes and modulation of inductive nephrogenic signals like WNT and FGF. We also identified genes expressed specifically in WT subtypes and performed a preliminary characterization of the immune milieu of WT. CONCLUSIONS: The spatiotemporal mapping combined with different transcriptomic data highlighted the heterogeneity of the WT subtypes confirming uncommitted nephron progenitors as driving the development of WT. We identified genes that may allow for better stratification of WT and potential therapeutic targets for distinct WT subtypes. Source of Funding: GOFARR Fund © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e33 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Astgik Petrosyan More articles by this author Valentina Villani More articles by this author Paola Aguiari More articles by this author Matthew Thornton More articles by this author Zhou Shengmei More articles by this author Brendan Grubbs More articles by this author Marie Csete More articles by this author Roger De Filippo More articles by this author Kevin Lemley More articles by this author Sargis Sedrakyan More articles by this author Stefano Da Sacco More articles by this author Laura Perin More articles by this author Expand All Advertisement PDF DownloadLoading ...

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call