GEO DataSets

(Submitter supplied) Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. Like in many cancers, tumor heterogeneity in HCC hampers the development of personalized therapies. Integrative genomics contributed to characterize HCC subtypes by identifying specific genetic alterations and molecular signatures, leading to targeted drug candidates. However, no consensus was achieved for genes and pathways recurrently altered in HCC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

8 Samples

Download data: TXT

(Submitter supplied) Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. Like in many cancers, tumor heterogeneity in HCC hampers the development of personalized therapies. Integrative genomics contributed to characterize HCC subtypes by identifying specific genetic alterations and molecular signatures, leading to targeted drug candidates. However, no consensus was achieved for genes and pathways recurrently altered in HCC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

6 Samples

Download data: TXT

(Submitter supplied) Integrative whole genome and transcriptome analyses of tumor tissue, invasive border region as well as tumor-surrounding liver (SL) in 28 HCC patients.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

66 Samples

Download data: TXT

(Submitter supplied) The aim of this study is to identify by whole genome microarray expression profiling a molecular signature of HCC samples that correlates with growth rate of the tumor and survival. This signature could eventually be used as prognostic marker. The samples were prospectively derived from hepatocellular carcinoma tissue as well as non-tumor tissue from the livers of the same patients. Expression of five genes (ANGPT2, NETO2,NR4A1,DLL4,ESM1) from this signature was re-evaluated in a validation cohort by real-time PCR, confirming its correlation with growth rate and survival.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

161 Samples

Download data: TXT

(Submitter supplied) To identify therapeutic targets with high specificity to HCC, we searched for genes significantly up-regulated in HCC over corresponding non-tumor liver using high-density microarrays Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

20 Samples

Download data: CEL

(Submitter supplied) There are concerns about whether cancer cell lines could faithfully represent the matched primary cancer cells. Comparison of the HCC cell lines and primary HCCs demonstrated that, during long-term in vitro culture, cell lines retain the genetic landscape of the matched primary HCCs.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

24 Samples

Download data: TXT