Identification of functional genomic regions with copy number alteration in liver cancer

Tzu Hung Hsiao, Hung I.Harry Chen, Yidong Chen

    Producción científica: Conference contribution

    1 Cita (Scopus)

    Resumen

    Copy number alterations (CNAs) happen frequently in solid tumors. Several oncogenes and tumor suppressor genes have been identified with CNAs. However, the systematic survey of CNA regulated functions is still lack. By employing systems biology approaches, instead of examining individual genes, we directly identified the spatial functional hotspots in human genome. Total 249 genomic regions, or segments, with 410 enriched biological functions were identified. An aCGH data set of hepatocellular carcinoma (HCC) tumors was employed in this study and several putative affected functions of CNAs were identified. Our results indicate that 4 immune related segments were lost in most of patients. In addition, our data implied these immune related segments might be involved in HCC oncogenesis. The result further demonstrated that our method enables researchers to survey biological functions of CNAs and to construct regulation hypothesis at pathway and functional levels.

    Idioma originalEnglish (US)
    Título de la publicación alojadaProceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
    Páginas155-158
    Número de páginas4
    DOI
    EstadoPublished - 2012
    Evento2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012 - Washington, DC, United States
    Duración: dic 2 2012dic 4 2012

    Serie de la publicación

    NombreProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
    ISSN (versión impresa)2150-3001
    ISSN (versión digital)2150-301X

    Other

    Other2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
    País/TerritorioUnited States
    CiudadWashington, DC
    Período12/2/1212/4/12

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology (miscellaneous)
    • Computational Theory and Mathematics
    • Signal Processing
    • Biomedical Engineering

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