Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma
Transcriptomics Dataset
FAIR Metrics
0 evaluations
General Information
| Accession | GSE39791 |
| Title | Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma |
| Description | While we and others have uncovered and validated several genomic predictors for metastatic recurrences, a molecular or genomic predictor that can reliably identify high-risk patients for late de novo recurrence has not been firmly established. We analyzed previously reported gene expression data from human livers that underwent partial hepatectomy or transplantation, which were representative physiological conditions that trigger liver regeneration signals. We generated gene expression data from tumor and matched non-tumor surrounding tissues of 72 hepatocellular carcinoma (HCC) patients who underwent surgical resection as the primary treatment. We used these gene expression data to develop a new prognostification model for recurrence of HCC after surgery. |
| Landing Page | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39791 |
| Repository | Gene Expression Omnibus |
Related Datasets
GSE77323
p62, upregulated during preneoplasia, induces hepatocellular carcinogenesis by maintaining survival of stressed HCC-initiating cells
1
GSE81550
RNA-Seq expression profiling of hepatocellular carcinoma and adjacent non-tumor liver tissues
1
Tools
used to analyze the dataset
Canned Analyses
generated with the dataset
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
