HCA Data Explorer

Single-cell analyses of renal cell cancers reveal insights into tumor microenvironment, cell of origin, and therapy response

Access Granted
Updated April 6, 2023

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.

Arul M ChinnaiyanUniversity of Michiganarul@umich.edu
Yuping Zhang1
Sathiya P Narayanan1
Rahul Mannan1
Gregory Raskind1
Xiaoming Wang1
Pankaj Vats1
Fengyun Su1
Noshad Hosseini1
Xuhong Cao1
Chandan Kumar-Sinha1
Stephanie J Ellison1
Thomas J Giordano1
Todd M Morgan1
Sethuramasundaram Pitchiaya1
Ajjai Alva1
Rohit Mehra1
Marcin Cieslik1
Saravana M Dhanasekaran1
Arul M Chinnaiyan1
1University of Michigan
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/7c599029-7a3c-4b5c-8e79-e72c9a9a65fe
None
GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

CZ CELLxGENECZ CELLxGENE

Project Label

RenalTumorMicroenvironment

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

kidney

Organ Part

2 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

2 disease statuses

Development Stage

human adult stage

Library Construction Method

10x 3' v2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

matrix_generation

File Format

3 file formats

Cell Count Estimate

29.0k

Donor Count

9
csv.gz3 file(s)h514 file(s)xlsx1 file(s)