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Clonal architectures predict clinical outcome in clear cell renal cell carcinoma

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...

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Autores principales: Huang, Yi, Wang, Jiayin, Jia, Peilin, Li, Xiangchun, Pei, Guangsheng, Wang, Changxi, Fang, Xiaodong, Zhao, Zhongming, Cai, Zhiming, Yi, Xin, Wu, Song, Zhang, Baifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423009/
https://www.ncbi.nlm.nih.gov/pubmed/30886153
http://dx.doi.org/10.1038/s41467-019-09241-7
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author Huang, Yi
Wang, Jiayin
Jia, Peilin
Li, Xiangchun
Pei, Guangsheng
Wang, Changxi
Fang, Xiaodong
Zhao, Zhongming
Cai, Zhiming
Yi, Xin
Wu, Song
Zhang, Baifeng
author_facet Huang, Yi
Wang, Jiayin
Jia, Peilin
Li, Xiangchun
Pei, Guangsheng
Wang, Changxi
Fang, Xiaodong
Zhao, Zhongming
Cai, Zhiming
Yi, Xin
Wu, Song
Zhang, Baifeng
author_sort Huang, Yi
collection PubMed
description 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.
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spelling pubmed-64230092019-03-20 Clonal architectures predict clinical outcome in clear cell renal cell carcinoma Huang, Yi Wang, Jiayin Jia, Peilin Li, Xiangchun Pei, Guangsheng Wang, Changxi Fang, Xiaodong Zhao, Zhongming Cai, Zhiming Yi, Xin Wu, Song Zhang, Baifeng Nat Commun Article 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. Nature Publishing Group UK 2019-03-18 /pmc/articles/PMC6423009/ /pubmed/30886153 http://dx.doi.org/10.1038/s41467-019-09241-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Huang, Yi
Wang, Jiayin
Jia, Peilin
Li, Xiangchun
Pei, Guangsheng
Wang, Changxi
Fang, Xiaodong
Zhao, Zhongming
Cai, Zhiming
Yi, Xin
Wu, Song
Zhang, Baifeng
Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title_full Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title_fullStr Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title_full_unstemmed Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title_short Clonal architectures predict clinical outcome in clear cell renal cell carcinoma
title_sort clonal architectures predict clinical outcome in clear cell renal cell carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423009/
https://www.ncbi.nlm.nih.gov/pubmed/30886153
http://dx.doi.org/10.1038/s41467-019-09241-7
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