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Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing
Clear-cell renal cell carcinoma (ccRCC) is the most common and lethal subtype of kidney cancer. VHL and PBRM1 are the top two significantly mutated genes in ccRCC specimens, while the genetic mechanism of the VHL/PBRM1-negative ccRCC remains to be elucidated. Here we carried out a comprehensive anal...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989475/ https://www.ncbi.nlm.nih.gov/pubmed/32038722 http://dx.doi.org/10.3389/fgene.2019.01379 |
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author | Zhou, Wenyang Yang, Fan Xu, Zhaochun Luo, Meng Wang, Pingping Guo, Yu Nie, Huan Yao, Lifen Jiang, Qinghua |
author_facet | Zhou, Wenyang Yang, Fan Xu, Zhaochun Luo, Meng Wang, Pingping Guo, Yu Nie, Huan Yao, Lifen Jiang, Qinghua |
author_sort | Zhou, Wenyang |
collection | PubMed |
description | Clear-cell renal cell carcinoma (ccRCC) is the most common and lethal subtype of kidney cancer. VHL and PBRM1 are the top two significantly mutated genes in ccRCC specimens, while the genetic mechanism of the VHL/PBRM1-negative ccRCC remains to be elucidated. Here we carried out a comprehensive analysis of single-cell genomic copy number variations (CNVs) in VHL/PBRM1-negative ccRCC. Genomic CNVs were identified at the single-cell level, and the tumor cells showed widespread amplification and deletion across the whole genome. Functional enrichment analysis indicated that the amplified genes are significantly enriched in cancer-related signaling transduction pathways. Besides, receptor protein tyrosine kinase (RTK) genes also showed widespread copy number variations in cancer cells. Our studies indicated that the genomic CNVs in RTK genes and downstream signaling transduction pathways may be involved in VHL/PBRM1-negative ccRCC pathogenesis and progression, and highlighted the role of the comprehensive investigation of genomic CNVs at the single-cell level in both clarifying pathogenic mechanism and identifying potential therapeutic targets in cancers. |
format | Online Article Text |
id | pubmed-6989475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69894752020-02-07 Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing Zhou, Wenyang Yang, Fan Xu, Zhaochun Luo, Meng Wang, Pingping Guo, Yu Nie, Huan Yao, Lifen Jiang, Qinghua Front Genet Genetics Clear-cell renal cell carcinoma (ccRCC) is the most common and lethal subtype of kidney cancer. VHL and PBRM1 are the top two significantly mutated genes in ccRCC specimens, while the genetic mechanism of the VHL/PBRM1-negative ccRCC remains to be elucidated. Here we carried out a comprehensive analysis of single-cell genomic copy number variations (CNVs) in VHL/PBRM1-negative ccRCC. Genomic CNVs were identified at the single-cell level, and the tumor cells showed widespread amplification and deletion across the whole genome. Functional enrichment analysis indicated that the amplified genes are significantly enriched in cancer-related signaling transduction pathways. Besides, receptor protein tyrosine kinase (RTK) genes also showed widespread copy number variations in cancer cells. Our studies indicated that the genomic CNVs in RTK genes and downstream signaling transduction pathways may be involved in VHL/PBRM1-negative ccRCC pathogenesis and progression, and highlighted the role of the comprehensive investigation of genomic CNVs at the single-cell level in both clarifying pathogenic mechanism and identifying potential therapeutic targets in cancers. Frontiers Media S.A. 2020-01-23 /pmc/articles/PMC6989475/ /pubmed/32038722 http://dx.doi.org/10.3389/fgene.2019.01379 Text en Copyright © 2020 Zhou, Yang, Xu, Luo, Wang, Guo, Nie, Yao and Jiang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zhou, Wenyang Yang, Fan Xu, Zhaochun Luo, Meng Wang, Pingping Guo, Yu Nie, Huan Yao, Lifen Jiang, Qinghua Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title | Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title_full | Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title_fullStr | Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title_full_unstemmed | Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title_short | Comprehensive Analysis of Copy Number Variations in Kidney Cancer by Single-Cell Exome Sequencing |
title_sort | comprehensive analysis of copy number variations in kidney cancer by single-cell exome sequencing |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6989475/ https://www.ncbi.nlm.nih.gov/pubmed/32038722 http://dx.doi.org/10.3389/fgene.2019.01379 |
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