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Array Comparative Genomic Hybridization Copy Number Profiling: A New Tool for Translational Research in Solid Malignancies

  • José Luis Costa
  • , Gerrit Meijer
  • , Bauke Ylstra
  • , Carlos Caldas*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

The molecular genetic investigation of cancer is rapidly evolving because of ever-improving technology. Insights into cancer disease mechanisms are being elucidated using new chromosome-based biomarkers. Until recently, diagnostic and prognostic assessment of diseased tissues and tumors relied heavily on histologic indicators that permitted only general classifications into morphologic subtypes and did not take into account the alterations in individual gene expression or copy number. Genomic and expression profiling now allow the simultaneous interrogation of thousands of genes and offer unprecedented opportunities to obtain global molecular signatures of neoplastic cells in patient samples. One limitation of global profiling at the expression level is that acquisition and optimal transport of high-quality RNA is problematic because of its inherent instability in vitro. In contrast, tumor DNA is stable, relatively easy to transport, and can be obtained from archival paraffin tissue blocks. Thus, there is now a tremendous opportunity to globally profile copy number imbalances in tumors using array comparative genomic hybridization (CGH), which can identify at high resolution the presence of genomic copy number changes in constitutional or tumor DNA samples. Array CGH profiling has already allowed a deeper insight into the biology of a variety of tumor types and in the near future will undoubtedly prove to be a key technology leading to better cancer classification, prognosis, and outcome prediction.

Original languageEnglish
Pages (from-to)98-104
Number of pages7
JournalSeminars in Radiation Oncology
Volume18
Issue number2
DOIs
StatePublished - Apr 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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