Work

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

Year: 2022

Type: article

Abstract: Data and code used to produce the analysis in " A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma" by Alchahin and Mei et al. (2022) 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 was predictive of metastatic potential and patient survival. Analysis of supporting stromal cells within the tumor environment demonstrated 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.

Source: RePEc: Research Papers in Economics

DOI: 10.5281/zenodo.7061983

Authors: Alchahin, Adele M, Mei, Shenglin, Tsea, Ioanna, Hirz, Taghreed, Kfoury, Youmna, Dahl, Douglas, Wu, Chin-Lee, Subtelny, Alexander O, Wu, Shulin, Scadden, David T, Shin, John H, Saylor, Philip, Sykes, David B, Kharchenko, Peter V, Baryawno, Ninib

Institutions: Karolinska University Hospital, Karolinska Institutet, Harvard University, Massachusetts General Hospital

Language: English

Topic: Renal cell carcinoma treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4297660895

FWCI: 0.65

Cites:

Cited by: 4

Related to: 10