Project description:We integrated the copy number data with gene expression data from the same HCC samples, and identified fifteen putative driver genes with recurrently genomic aberrations and their associated modules in HCC. We further confirmed empirically that three putative driver genes (MYH10, CEP104 and RRS1) play significant roles in tumor initiation and progression of HCC. Notably, we demonstrated that RRS1 regulates the MDM2-P53 pathway and promotes tumor progression by retaining RPL11 in the nucleolus in HCC. Altogether, these data provide insights into novel cancer driver genes and suggested molecular targets for treatment for HCC.

2018-01-19 | GSE109359 | GEO

Integrative genomic analysis in HCC samples [MYH]

2018-01-19 | GSE109358 | GEO

Integrative genomic analysis in HCC samples [CEP104]

2018-01-19 | GSE109357 | GEO

Integrative genomic analysis in HCC samples [SNP]

2018-01-19 | GSE109360 | GEO

Integrative omics analysis in HCC samples [lncRNA expression]

Project description:38 paires of tumor tissues and adjacent non-tumor tissues from HCC patients The number of known lncRNAs increased sharply upon the tiling microarrays and RNA-sequencing were applied to identify lncRNAs. However, only about a dozen of lncRNAs have been well characterized and demonstrated to be tightly associated with development and progression of HCC. A major challenge remains to identify functional lncRNAs associated with HCC. Previous reports mainly selected differentially expressed lncRNAs in cancer tissue or cell lines as candidates for further validation and characterizing. Here, based on mRNA and lncRNA gene expression profiles data collected from tumor and adjacent normal tissues of thirty-eight HCC patients, we adapted integrative omics strategy to identify HCC-associated lncRNAs.

2017-06-21 | GSE84004 | GEO

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