Systematic name M10922
Brief description Genes up-regulated in samples from patients with recurrent hepatocellular carcinoma (HCC).
Full description or abstract PURPOSE: To improve the clinical management of human hepatocellular carcinoma (HCC) by accurate identification, at diagnosis, of patients at risk of recurrence after primary treatment for HCC. EXPERIMENTAL DESIGN: Two clinicopathologic variables available at diagnosis, vascular invasion and cirrhosis, together with molecular profiling using Affymetrix human HG-U133A and HG-U133B oligonucleotide probe arrays, were used to identify recurrent HCC disease. RESULTS: HCC patients presented clinically at diagnosis with vascular invasion and cirrhosis showed a high rate (78-83%) of developing recurrent disease within 6 to 35 months. In comparison, most of the HCC patients (80-100%) without vascular invasion and cirrhosis remained disease-free. However, the risk of recurrent disease for HCC patients with either vascular invasion or cirrhosis could not be accurately ascertained. Using a pool of 23 HCC patients with either vascular invasion or cirrhosis as training set, a 57-gene signature was derived and could predict recurrent disease at diagnosis, with 84% (sensitivity 86%, specificity 82%) accuracy, for a totally independent test set of 25 HCC patients with either vascular invasion or cirrhosis. On further analysis, the disease-free rate was significantly different between patients that were predicted to recur or not to recur in the test group (P = 0.002). CONCLUSION: We have presented data to show that by incorporating the status of vascular invasion and cirrhosis available at diagnosis for patients with HCC after partial curative hepatectomy and a novel 57-member gene signature, we could accurately stratify HCC patients with different risks of recurrence.
Collection C2: Curated
      CGP: Chemical and Genetic Perturbations
Source publication Pubmed 17975138   Authors: Wang SM,Ooi LL,Hui KM
Exact source Fig.3A
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Source species Homo sapiens
Contributed by Yujin Hoshida (Broad Institute)
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Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
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Version history 3.0: First introduced

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