Literature DB >> 17975138

Identification and validation of a novel gene signature associated with the recurrence of human hepatocellular carcinoma.

Suk Mei Wang1, London Lucien P J Ooi, Kam M Hui.   

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.

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Year:  2007        PMID: 17975138     DOI: 10.1158/1078-0432.CCR-06-2236

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  58 in total

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2.  Molecular subclasses of hepatocellular carcinoma predict sensitivity to fibroblast growth factor receptor inhibition.

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Review 4.  Molecular classification and novel targets in hepatocellular carcinoma: recent advancements.

Authors:  Yujin Hoshida; Sara Toffanin; Anja Lachenmayer; Augusto Villanueva; Beatriz Minguez; Josep M Llovet
Journal:  Semin Liver Dis       Date:  2010-02-19       Impact factor: 6.115

5.  Prognostic signatures from hepatocellular carcinoma biopsy.

Authors:  Luca Marzi; Erica Villa
Journal:  Hepat Oncol       Date:  2017-10-30

6.  Transcriptomics Associates Molecular Features with 18F-Fluorocholine PET/CT Imaging Phenotype and Its Potential Relationship to Survival in Hepatocellular Carcinoma.

Authors:  Sandi A Kwee; Maarit Tiirikainen; Miles M Sato; Jared D Acoba; Runmin Wei; Wei Jia; Loic Le Marchand; Linda L Wong
Journal:  Cancer Res       Date:  2019-02-13       Impact factor: 12.701

Review 7.  Current issues on genomic heterogeneity in hepatocellular carcinoma and its implication in clinical practice.

Authors:  Kornelius Schulze; Jessica Zucman-Rossi
Journal:  Hepat Oncol       Date:  2015-07-27

8.  Gene expression of IQGAPs and Ras families in an experimental mouse model for hepatocellular carcinoma: a mechanistic study of cancer progression.

Authors:  Khairy M A Zoheir; Ahmed A Abd-Rabou; Gamaleldin I Harisa; Abdelkader E Ashour; Sheikh Fayaz Ahmad; Sabry M Attia; Saleh A Bakheet; Hala E Abdel-Hamied; Adel R Abd-Allah; Ashok Kumar
Journal:  Int J Clin Exp Pathol       Date:  2015-08-01

9.  Gene-expression signature of vascular invasion in hepatocellular carcinoma.

Authors:  Beatriz Mínguez; Yujin Hoshida; Augusto Villanueva; Sara Toffanin; Laia Cabellos; Swan Thung; John Mandeli; Daniela Sia; Craig April; Jian-Bing Fan; Anja Lachenmayer; Radoslav Savic; Sasan Roayaie; Vincenzo Mazzaferro; Jordi Bruix; Myron Schwartz; Scott L Friedman; Josep M Llovet
Journal:  J Hepatol       Date:  2011-04-13       Impact factor: 25.083

10.  Molecular classification of hepatocellular carcinoma: potential therapeutic implications.

Authors:  Nicolas Goossens; Xiaochen Sun; Yujin Hoshida
Journal:  Hepat Oncol       Date:  2015
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