Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response
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.
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Atlas
Analysis Portals
Project Label
RenalTumorMicroenvironmentSpecies
Homo sapiens
Sample Type
specimens
Anatomical Entity
kidney
Organ Part
Selected Cell Types
Unspecified
Disease Status (Specimen)
Disease Status (Donor)
Development Stage
human adult stage
Library Construction Method
10x 3' v2
Nucleic Acid Source
single cell
Paired End
falseAnalysis Protocol
matrix_generationFile Format
Cell Count Estimate
29.0kDonor Count
9