Cancer Letters
Volume 228, Issue 1 , Pages 13-20, 18 October 2005

Application of microarray-based technology to neuroblastoma

  • Paola Scaruffi

      Affiliations

    • Unit of Translational Paediatric Oncology, National Institute for Cancer Research (IST), Genoa, Italy
    • Italian Neuroblastoma Foundation, Advanced Biotechnology Center, Genoa, Italy
    • ,
  • Alexander Valent

      Affiliations

    • Genomique Cellulaire des Cancers, CNRS UMR 8125, Institut Gustave Roussy, Villejuif Cedex, France
    • ,
  • Alexander Schramm

      Affiliations

    • Division of Hematology/Oncology, University Children's Hospital, Essen, Germany
    • ,
  • Kathy Astrahantseff

      Affiliations

    • Division of Hematology/Oncology, University Children's Hospital, Essen, Germany
    • ,
  • Angelika Eggert

      Affiliations

    • Division of Hematology/Oncology, University Children's Hospital, Essen, Germany
    • ,
  • Gian Paolo Tonini

      Affiliations

    • Unit of Translational Paediatric Oncology, National Institute for Cancer Research (IST), Genoa, Italy
    • Corresponding Author InformationCorresponding author. Address: Unit of Translational Paediatric Oncology, National Institute for Cancer Research (IST), L.go R. Benzi, 10, 16132 Genoa, Italy. Tel.: +39 010 57 37 487; fax: +39 010 57 37 463.

Received 20 December 2004; accepted 12 January 2005.

Abstract 

In the past decade, microarray technology has become a major tool for high-throughput comprehensive analysis of gene expression, genotyping and re-sequencing applications. High-throughput microarrays are used for expression profiling analyses with the aims of gene or pathway discovery, tumor subclassification or relapse risk assessment. The introduction of microarray CGH provides a powerful tool to precisely detect and quantify genomic aberrations and map these directly onto the human genome. This review summarizes the current status of the application of microarray technology to neuroblastoma research.

Keywords: Microarray, Neuroblastoma, Gene expression profiling, Array-CGH

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PII: S0304-3835(05)00357-5

doi:10.1016/j.canlet.2005.01.052

Cancer Letters
Volume 228, Issue 1 , Pages 13-20, 18 October 2005

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