Genomics

Dataset Information

0

Integrative genomic analysis in HCC samples [SNP]


ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE109360 | GEO | 2018/01/19

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2018-01-19 | GSE109359 | GEO
2018-01-19 | GSE109358 | GEO
2018-01-19 | GSE109357 | GEO
| PRJNA430683 | ENA
2015-07-20 | GSE68431 | GEO
2013-01-16 | E-MTAB-1121 | biostudies-arrayexpress
2024-02-21 | PXD037022 | Pride
2015-09-01 | GSE72537 | GEO
2015-09-01 | E-GEOD-72537 | biostudies-arrayexpress
2023-10-24 | PXD042218 | Pride