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

Authors: Adele M. Alchahin; Shenglin Mei; Ioanna Tsea; Taghreed Hirz; Youmna Kfoury; Douglas Dahl; Chin-Lee Wu; +8 Authors

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

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 take advantage of 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 revealed 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 and a proliferative signature within the fibroblasts that was associated with poor survival. An in silico cell-to-cell interaction analysis highlighted 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.

Keywords

Adult, Science, Q, Endothelial Cells, clear cell renal cell carcinoma, Kidney, Article, Kidney Neoplasms, single cell, Tumor Microenvironment, Humans, tumor microenvironment, Transcriptome, Carcinoma, Renal Cell, metastatic signature

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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58
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35
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