Unknown

Dataset Information

0

Gene expression in fixed tissues and outcome in hepatocellular carcinoma.


ABSTRACT:

Background

It is a challenge to identify patients who, after undergoing potentially curative treatment for hepatocellular carcinoma, are at greatest risk for recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissue.

Methods

We aimed to demonstrate the feasibility of gene-expression profiling of more than 6000 human genes in formalin-fixed, paraffin-embedded tissues. We applied the method to tissues from 307 patients with hepatocellular carcinoma, from four series of patients, to discover and validate a gene-expression signature associated with survival.

Results

The expression-profiling method for formalin-fixed, paraffin-embedded tissue was highly effective: samples from 90% of the patients yielded data of high quality, including samples that had been archived for more than 24 years. Gene-expression profiles of tumor tissue failed to yield a significant association with survival. In contrast, profiles of the surrounding nontumoral liver tissue were highly correlated with survival in a training set of tissue samples from 82 Japanese patients, and the signature was validated in tissues from an independent group of 225 patients from the United States and Europe (P=0.04).

Conclusions

We have demonstrated the feasibility of genomewide expression profiling of formalin-fixed, paraffin-embedded tissues and have shown that a reproducible gene-expression signature correlated with survival is present in liver tissue adjacent to the tumor in patients with hepatocellular carcinoma.

SUBMITTER: Hoshida Y 

PROVIDER: S-EPMC2963075 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-DIXA-D-1001 | biostudies-other
2008-10-15 | GSE10143 | GEO
2010-05-20 | E-GEOD-10143 | biostudies-arrayexpress
2008-10-15 | GSE10142 | GEO
| PRJNA108689 | ENA
2010-05-19 | E-GEOD-10142 | biostudies-arrayexpress
2008-10-15 | GSE10141 | GEO
2008-10-15 | GSE10140 | GEO
2010-05-18 | E-GEOD-10140 | biostudies-arrayexpress
2010-05-19 | E-GEOD-10141 | biostudies-arrayexpress