A global transcriptional network connecting noncoding mutations to changes in tumor gene expression.
A global transcriptional network connecting noncoding mutations to changes in tumor gene expression.
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DOI:
10.1038/s41588-018-0091-2
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发表时间:
2018-04
期刊:
影响因子:
30.8
通讯作者:
Ideker T
中科院分区:
文献类型:
--
作者:
Zhang W;Bojorquez-Gomez A;Velez DO;Xu G;Sanchez KS;Shen JP;Chen K;Licon K;Melton C;Olson KM;Yu MK;Huang JK;Carter H;Farley EK;Snyder M;Fraley SI;Kreisberg JF;Ideker T
Although cancer genomes are replete with noncoding mutations, the effects of these mutations remain poorly characterized. Here we perform an integrative analysis of 930 tumor whole genomes and matched transcriptomes, identifying a network of 193 noncoding loci in which mutations disrupt target gene expression. These “somatic eQTLs” (expression Quantitative Trait Loci) are frequently mutated in specific cancer tissues, and the majority can be validated in an independent cohort of 3,382 tumors. Among these, we find that the effects of noncoding mutations on DAAM1, MTG2 and HYI transcription are recapitulated in multiple cancer cell lines, and that increasing DAAM1 expression leads to invasive cell migration. Collectively the noncoding loci converge on a set of core pathways, permitting a classification of tumors into pathway-based subtypes. The somatic eQTL network is disrupted in 88% of tumors, suggesting widespread impact of noncoding mutations in cancer.
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DOI:
10.1038/nrc1299
发表时间:
2004-03
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
通讯作者:
--
影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
影响因子:
46.9
作者:
Ernst J;Kellis M
通讯作者:
Kellis M
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
2.1
作者:
Hirano, Yasuhiro;Ohniwa, Ryosuke L.;Takeyasu, Kunio
通讯作者:
Takeyasu, Kunio