Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma
المؤلفون: 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 J., Sykes, David B., Kharchenko, Peter V., Baryawno, Ninib
المساهمون: Barncancerfonden, Cancerfonden, Vetenskapsrådet
المصدر: Nature Communications ; volume 13, issue 1 ; ISSN 2041-1723
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2022
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1038/s41467-022-33375-w
الاتاحة: http://dx.doi.org/10.1038/s41467-022-33375-w
https://www.nature.com/articles/s41467-022-33375-w.pdf
https://www.nature.com/articles/s41467-022-33375-w
Rights: https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0
رقم الانضمام: edsbas.1A8F4A10
قاعدة البيانات: BASE
الوصف
DOI:10.1038/s41467-022-33375-w