Central genetic alterations common to all HCV-positive, HBV-positive and non-B, non-C hepatocellular carcinoma: A new approach to identify novel tumor markers

Yukinori Kurokawa, Kimi Honma, Ichiro Takemasa, Shoji Nakamori, Hiroko Kita-Matsuo, Masaaki Motoori, Hiroaki Nagano, Keizo Dono, Takahiro Ochiya, Morito Monden, Kikuya Kato

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Hepatocellular carcinoma (HCC) is a common malignancy, but the prognosis remains poor due to the lack of sensitive diagnostic markers. To gain insight into the central molecular features common to all types of HCC, and to identify novel diagnostic markers or therapeutic targets for HCC, we performed a gene expression profiling analysis using a high throughput RT-PCR system. After examining the mRNA expression of 3,072 genes in 204 (119 tumor and 85 non-tumor) liver samples, we identified differential gene expression between the HCV group (n=80), HBV group (n=19) and non-B, non-C group (n=20) with a principal component analysis and a correlation spectrum analysis. After selection of genes differentially expressed between tumor and non-tumor tissues (p<0.01) within each HCC group, a total of 51 differentially expressed genes (23 upregulated and 28 downregulated genes) were found to be common to the three HCC groups. Gene Ontology grouping analysis revealed that genes with functions related to cell proliferation or differentiation and genes encoding extracellular proteins were found to be significantly enriched in these 51 common genes. Using an Atelocollagen-based cell transfection array for functional analysis of eight upregulated genes, five (CANX, FAM34A, PVRL2, LAMR1, and GBA) significantly inhibited cellular apoptosis by two independent assays. In conclusion, we identified 51 differentially expressed genes, common to all HCC types. Among these genes, there was a high incidence of anti-apoptotic activity. This combination approach with the advanced statistical methods and the bioinformatical analysis may be useful for finding novel molecular targets for diagnosis and therapy.

Original languageEnglish
Pages (from-to)383-391
Number of pages9
JournalInternational journal of oncology
Volume28
Issue number2
DOIs
Publication statusPublished - Feb 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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