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[Tissue array technology for translational research. From gene discovery to application].

W H Kim1

  • 1Department of Pathology, Seoul National University College of Medicine, Korea.

Experimental & Molecular Medicine
|November 16, 2001
PubMed
Summary

DNA microarrays enable genome-wide gene expression analysis. Tissue array technology facilitates high-throughput molecular analysis of cancer specimens for improved functional and clinical applications.

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Area of Science:

  • Genomics and Molecular Biology
  • Cancer Research
  • Pathology

Context:

  • Advancements in DNA microarray technology allow for surveying thousands of gene expressions simultaneously.
  • Translating genomic data into clinical applications requires target prioritization and validation in human tissues.
  • Archival tissue specimens present a valuable resource for large-scale molecular analysis.

Purpose:

  • To develop and implement a tissue array technology for genome-scale expressional and clinical cancer research.
  • To enable high-throughput molecular analysis of a large number of archival tissue specimens.
  • To investigate the presence of Epstein-Barr virus and stratify the prognostic significance of 10 antibodies in gastric cancer.

Summary:

  • A novel tissue array technology was developed using 2.0 mm diameter biopsies from 60 individual tumor tissues, creating blocks sliced into over 200 identical slides.

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  • This technology supports high-throughput molecular analysis, including immunohistochemistry and in situ hybridization, on numerous specimens simultaneously.
  • Gastric cancer tissue arrays were created with diverse subsets, including primary tumors, preneoplastic lesions, metastatic lesions, and familial cases, for comprehensive analysis.

    • Impact:

    • Tissue array technology significantly expands the scope of high-throughput molecular analysis on archival tissues.
    • Enables functional and clinical applications by analyzing multiple gene or protein targets across numerous specimens efficiently.
    • Facilitates the discovery of biomarkers and prognostic indicators in cancer research through large-scale molecular profiling.