Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
Yuping Zhang, Sathiya P. Narayanan, Rahul Mannan, Gregory Raskind, Xiaoming Wang, Pankaj Vats, Fengyun Su, Noshad Hosseini, Xuhong Cao, Chandan Kumar-Sinha, Stephanie J. Ellison, Thomas J. Giordano, Todd M. Morgan, Sethuramasundaram Pitchiaya, Ajjai Alva, Rohit Mehra, Marcin Cieslik, Saravana M. Dhanasekaran, Arul M. Chinnaiyan
Abstract
Diverse subtypes of renal cell carcinomas (RCCs) display a wide spectrum of histomorphologies, proteogenomic alterations, immune cell infiltration patterns, and clinical behavior. Delineating the cells of origin for different RCC subtypes will provide mechanistic insights into their diverse pathobiology. Here, we employed single-cell RNA sequencing (scRNA-seq) to develop benign and malignant renal cell atlases. Using a random forest model trained on this cell atlas, we predicted the putative cell of origin for more than 10 RCC subtypes. scRNA-seq also revealed several attributes of the tumor microenvironment in the most common subtype of kidney cancer, clear cell RCC (ccRCC). We elucidated an active role for tumor epithelia in promoting immune cell infiltration, potentially explaining why ccRCC responds to immune checkpoint inhibitors, despite having a low neoantigen burden. In addition, we characterized an association between high endothelial cell types and lack of response to immunotherapy in ccRCC. Taken together, these single-cell analyses of benign kidney and RCC provide insight into the putative cell of origin for RCC subtypes and highlight the important role of the tumor microenvironment in influencing ccRCC biology and response to therapy.
Datasets
1. ccRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
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ac5c75fd-7aba-447f-a827-427d1b7ae53f1626 cells 4545213d-c089-4f63-ad06-7519fc62c5b21495 cells 6fc6ab61-4ddb-4f31-adc5-604cd39436ec1011 cells c519a780-b1d7-4c19-a0c9-234f4ffff7c3724 cells c25637b0-c7bf-4f18-b2f6-74380724d939673 cells aeb86a5d-2402-4b8b-932e-84727b8d92f9515 cells aea971e0-cf3e-4956-a59f-d79fb2bfdb9c1626 cells 3a0c2340-a629-4b10-a25e-94628f7b93451526 cells 15f97038-bdb9-47cc-bfd5-479a6583931f1495 cells 73804cbf-5f46-44cd-9cd5-169da7bbbed6724 cells adbee6b2-90d6-4e21-a7e9-80a14f03d6a7673 cells epithelial cell of proximal tubule2127 cells kidney loop of Henle thick ascending limb epithelial cell658 cells vasa recta ascending limb cell497 cells renal alpha-intercalated cell397 cells vasa recta descending limb cell336 cells kidney distal convoluted tubule epithelial cell275 cells glomerular capillary endothelial cell235 cells vascular associated smooth muscle cell180 cells natural killer cell138 cells columnar/cuboidal epithelial cell129 cells kidney collecting duct cell125 cells renal principal cell117 cells renal beta-intercalated cell31 cells 74-year-old human stage1626 cells 65-year-old human stage1526 cells 76-year-old human stage1495 cells 70-year-old human stage724 cells 69-year-old human stage673 cells 3. chRCC - Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
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960bc681-8dcc-4de0-aac7-9aadce10aa272576 cells a3143987-ff5d-4443-8a9e-31b203c33b672576 cells vascular associated smooth muscle cell110 cells chromophobe renal cell carcinoma2576 cells 43-year-old human stage2576 cells Analyze this study
Source data
https://cellxgene.cziscience.com/collections/1df8c90d-d299-4b2e-a54d-a5a80f36e780
Alias names
PMID34099557, PMC8214680
Cite this study
Zhang, Y., Narayanan, S.P., Mannan, R., Raskind, G., Wang, X., Vats, P., Su, F., Hosseini, N., Cao, X., Kumar-Sinha, C. and Ellison, S.J., 2021. Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response. Proceedings of the National Academy of Sciences, 118(24), p.e2103240118. https://doi.org/10.1073/pnas.2103240118