4.8 Article

Clonal architectures predict clinical outcome in clear cell renal cell carcinoma

期刊

NATURE COMMUNICATIONS
卷 10, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-019-09241-7

关键词

-

资金

  1. National Natural Science Foundation of China [81402336, 31701150]
  2. Shenzhen Municipal Government of China [JCYJ20160429093033251]
  3. Fundamental Research Funds for the Central Universities [CXTD2017003]
  4. National Institutes of Health [R01LM012806]

向作者/读者索取更多资源

The genetic landscape of clear cell renal cell carcinoma (ccRCC) had been investigated extensively but its evolution patterns remained unclear. Here we analyze the clonal architectures of 473 patients from three different populations. We find that the mutational signatures vary substantially across different populations and evolution stages. The evolution patterns of ccRCC have great inter-patient heterogeneities, with del(3p) being regarded as the common earliest event followed by three early departure points: VHL and PBRM1 mutations, del(14q) and other somatic copy number alterations (SCNAs) including amp(7), del(1p) and del(6q). We identify three prognostic subtypes of ccRCC with distinct clonal architectures and immune infiltrates: long-lived patients, enriched with VHL but depleted of BAP1 mutations, have high levels of Th17 and CD8(+) T cells while short-lived patients with high burden of SCNAs have high levels of Tregs and Th2 cells, highlighting the importance of evaluating evolution patterns in the clinical management of ccRCC.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据