Unknown,Transcriptomics,Genomics,Proteomics

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Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma


ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Kai Wang 

PROVIDER: E-GEOD-38326 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma.

Wang Kai K   Lim Ho Yeong HY   Shi Stephanie S   Lee Jeeyun J   Deng Shibing S   Xie Tao T   Zhu Zhou Z   Wang Yuli Y   Pocalyko David D   Yang Wei Jennifer WJ   Rejto Paul A PA   Mao Mao M   Park Cheol-Keun CK   Xu Jiangchun J  

Hepatology (Baltimore, Md.) 20130701 2


<h4>Unlabelled</h4>Cancer is a genetic disease with frequent somatic DNA alterations. Studying recurrent copy number aberrations (CNAs) in human cancers would enable the elucidation of disease mechanisms and the prioritization of candidate oncogenic drivers with causal roles in oncogenesis. We have comprehensively and systematically characterized CNAs and the accompanying gene expression changes in tumors and matched nontumor liver tissues from 286 hepatocellular carcinoma (HCC) patients. Our an  ...[more]

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