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Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients

ABSTRACT: Here we aimed to develop a new molecular prognostic stratification system for hepatocellular carcinoma (HCC) patients after liver resection based on common prognostic factors for primary tumors (PTs) and adjacent non-tumor tissues (ANTTs). We studied global mRNA expression profiles from 115 PT tissue samples and 52 ANTT samples derived from 115 HCC patients. Methods for the study included gene expression analysis, Functional Annotation/Gene Ontology analysis and unsupervised survival prognosis approach based on Cox hazards prognosis model. This study provides a practical prognostic system for reliable identification of the high-risk HCC patients subgroup with clearly described deregulated molecular machinery in both PTs and ANTTs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE76427 | GEO | 2017/05/26

SECONDARY ACCESSION(S): PRJNA307262

REPOSITORIES: GEO

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Project description:Gene-expression profiles of hepatitis C-related, early-stage liver cirrhosis Background & Aims: Liver cirrhosis affects 1%M-bM-^HM-^R2% of population and is the major risk factor of hepatocellular carcinoma (HCC). Hepatitis C cirrhosis-related HCC is the most rapidly increasing cause of cancer death in the US. Non-invasive methods have been developed to identify patients with asymptomatic, early-stage cirrhosis, increasing the burden of HCC surveillance, but biomarkers are needed to identify patients with cirrhosis who are most in need of surveillance. We investigated whether a liver-derived 186-gene signature previously associated with outcomes of patients with HCC is prognostic for patients newly diagnosed with cirrhosis but without HCC. Methods: We performed gene expression profile analysis of formalin-fixed needle biopsies from the livers of 216 patients with hepatitis C-related early-stage (Child-Pugh class A) cirrhosis who were prospectively followed for a median of 10 years at an Italian center. We evaluated whether the 186-gene signature was associated with death, progression of cirrhosis, and development of HCC. Results: Fifty-five (25%), 101 (47%), and 60 (28%) patients were classified as having poor-, intermediate-, and good-prognosis signatures, respectively. In multivariable Cox regression modeling, the poor-prognosis signature was significantly associated with death (P=.004), progression to advanced cirrhosis (P<.001), and development of HCC (P=.009). The 10-year rates of survival were 63%, 74%, and 85% and the annual incidences of HCC were 5.8%, 2.2%, and 1.5% for patients with poor-, intermediate-, and good-prognosis signatures, respectively. Conclusions: A 186-gene signature used to predict outcomes of patients with HCC is also associated with outcomes of patients with hepatitis C-related early-stage cirrhosis. This signature might be used to identify patients with cirrhosis in most need of surveillance and strategies to prevent their development of HCC. 216 liver biopsy specimens

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Microarray expression data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients

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