BMC Genomics (Oct 2005)

Macrodissection versus microdissection of rectal carcinoma: minor influence of stroma cells to tumor cell gene expression profiles

  • Medema Jan,
  • van Krieken J Han JM,
  • Marijnen Corrie AM,
  • van Wezel Tom,
  • Lombaerts Marcel,
  • van der Zee Minke MC,
  • van Eijk Ronald,
  • Lips Esther H,
  • van de Pas Simone,
  • de Bruin Elza C,
  • van de Velde Cornelis JH,
  • Eilers Paul HC,
  • Peltenburg Lucy TC

DOI
https://doi.org/10.1186/1471-2164-6-142
Journal volume & issue
Vol. 6, no. 1
p. 142

Abstract

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Abstract Background The molecular determinants of carcinogenesis, tumor progression and patient prognosis can be deduced from simultaneous comparison of thousands of genes by microarray analysis. However, the presence of stroma cells in surgically excised carcinoma tissues might obscure the tumor cell-specific gene expression profiles of these samples. To circumvent this complication, laser microdissection can be performed to separate tumor epithelium from the surrounding stroma and healthy tissue. In this report, we compared RNAs isolated from macrodissected, of which only surrounding healthy tissue had been removed, and microdissected rectal carcinoma samples by microarray analysis in order to determine the most reliable approach to detect the expression of tumor cell-derived genes by microarray analysis. Results As microdissection yielded low tissue and RNA quantities, extra rounds of mRNA amplification were necessary to obtain sufficient RNA for microarray experiments. These second rounds of amplification influenced the gene expression profiles. Moreover, the presence of stroma cells in macrodissected samples had a minor contribution to the tumor cell gene expression profiles, which can be explained by the observation that more RNA is extracted from tumor epithelial cells than from stroma. Conclusion These data demonstrate that the more convenient procedure of macrodissection can be adequately used and yields reliable data regarding the identification of tumor cell-specific gene expression profiles.