A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma
Creators
- 1. Childhood Cancer Research unit, Dep. Of Children's and Women's Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- 2. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- 3. Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- 4. Department of Urology, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- 5. Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- 6. Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- 7. Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
Contributors
Data manager:
- 1. Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
Description
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.