Multilayer-omics analysis of renal cell carcinoma, including the whole exome, methylome and transcriptome.
Multilayer-omics analysis of renal cell carcinoma, including the whole exome, methylome and transcriptome.
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DOI:
10.1002/ijc.28768
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发表时间:
2014-09-15
影响因子:
6.4
通讯作者:
Kanai, Yae
中科院分区:
文献类型:
--
作者:
Arai, Eri;Sakamoto, Hiromi;Ichikawa, Hitoshi;Totsuka, Hirohiko;Chiku, Suenori;Gotoh, Masahiro;Mori, Taisuke;Nakatani, Tamao;Ohnami, Sumiko;Nakagawa, Tohru;Fujimoto, Hiroyuki;Wang, Linghua;Aburatani, Hiroyuki;Yoshida, Teruhiko;Kanai, Yae
关键词:
The aim of this study was to identify pathways that have a significant impact during renal carcinogenesis. Sixty-seven paired samples of both noncancerous renal cortex tissue and cancerous tissue from patients with clear cell renal cell carcinomas (RCCs) were subjected to whole-exome, methylome and transcriptome analyses using Agilent SureSelect All Exon capture followed by sequencing on an Illumina HiSeq 2000 platform, Illumina Infinium HumanMethylation27 BeadArray and Agilent SurePrint Human Gene Expression microarray, respectively. Sanger sequencing and quantitative reverse transcription-PCR were performed for technical verification. MetaCore software was used for pathway analysis. Somatic nonsynonymous single-nucleotide mutations, insertions/deletions and intragenic breaks of 2,153, 359 and 8 genes were detected, respectively. Mutations of GCN1L1, MED12 and CCNC, which are members of CDK8 mediator complex directly regulating β-catenin-driven transcription, were identified in 16% of the RCCs. Mutations of MACF1, which functions in the Wnt/β-catenin signaling pathway, were identified in 4% of the RCCs. A combination of methylome and transcriptome analyses further highlighted the significant role of the Wnt/β-catenin signaling pathway in renal carcinogenesis. Genetic aberrations and reduced expression of ERC2 and ABCA13 were frequent in RCCs, and MTOR mutations were identified as one of the major disrupters of cell signaling during renal carcinogenesis. Our results confirm that multilayer-omics analysis can be a powerful tool for revealing pathways that play a significant role in carcinogenesis.
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DOI:
10.1083/jcb.200311021
发表时间:
2004-07-05
期刊:
The Journal of cell biology
影响因子:
--
作者:
Blache P;van de Wetering M;Duluc I;Domon C;Berta P;Freund JN;Clevers H;Jay P
通讯作者:
Jay P
影响因子:
3.9
作者:
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通讯作者:
Kimmel, Marek
影响因子:
64.8
作者:
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DOI:
10.1186/1756-9966-30-109
发表时间:
2011-11-22
期刊:
Journal of experimental & clinical cancer research : CR
影响因子:
--
作者:
He SB;Yuan Y;Wang L;Yu MJ;Zhu YB;Zhu XG
通讯作者:
Zhu XG
DOI:
10.1073/pnas.0709749105
发表时间:
2008-05-06
影响因子:
11.1
作者:
Carrera, Ines;Janody, Florence;Treisman, Jessica E.
通讯作者:
Treisman, Jessica E.