EconPapers    
Economics at your fingertips  
 

A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma

Adele M. Alchahin, Shenglin Mei (), Ioanna Tsea, Taghreed Hirz, Youmna Kfoury, Douglas Dahl, Chin-Lee Wu, Alexander O. Subtelny, Shulin Wu, David T. Scadden, John H. Shin, Philip J. Saylor, David B. Sykes, Peter V. Kharchenko () and Ninib Baryawno ()
Additional contact information
Adele M. Alchahin: Karolinska University Hospital
Shenglin Mei: Harvard Medical School
Ioanna Tsea: Karolinska University Hospital
Taghreed Hirz: Massachusetts General Hospital
Youmna Kfoury: Massachusetts General Hospital
Douglas Dahl: Harvard Medical School
Chin-Lee Wu: Harvard Medical School
Alexander O. Subtelny: Harvard Medical School
Shulin Wu: Harvard Medical School
David T. Scadden: Massachusetts General Hospital
John H. Shin: Harvard Medical School
Philip J. Saylor: Harvard Medical School
David B. Sykes: Massachusetts General Hospital
Peter V. Kharchenko: Harvard Medical School
Ninib Baryawno: Karolinska University Hospital

Nature Communications, 2022, vol. 13, issue 1, 1-15

Abstract: Abstract Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney cancer in adults. When ccRCC is localized to the kidney, surgical resection or ablation of the tumor is often curative. However, in the metastatic setting, ccRCC remains a highly lethal disease. Here we use fresh patient samples that include treatment-naive primary tumor tissue, matched adjacent normal kidney tissue, as well as tumor samples collected from patients with bone metastases. Single-cell transcriptomic analysis of tumor cells from the primary tumors reveals a distinct transcriptional signature that is predictive of metastatic potential and patient survival. Analysis of supporting stromal cells within the tumor environment demonstrates vascular remodeling within the endothelial cells. An in silico cell-to-cell interaction analysis highlights the CXCL9/CXCL10-CXCR3 axis and the CD70-CD27 axis as potential therapeutic targets. Our findings provide biological insights into the interplay between tumor cells and the ccRCC microenvironment.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-33375-w Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33375-w

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-33375-w

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33375-w