Influence of in vivo growth on human glioma cell line gene expression: convergent profiles under orthotopic conditions

Proc Natl Acad Sci U S A. 2005 Jun 7;102(23):8287-92. doi: 10.1073/pnas.0502887102. Epub 2005 May 31.

Abstract

Defining the molecules that regulate tumor cell survival is an essential prerequisite for the development of targeted approaches to cancer treatment. Whereas many studies aimed at identifying such targets use human tumor cells grown in vitro or as s.c. xenografts, it is unclear whether such experimental models replicate the phenotype of the in situ tumor cell. To begin addressing this issue, we have used microarray analysis to define the gene expression profile of two human glioma cell lines (U251 and U87) when grown in vitro and in vivo as s.c. or as intracerebral (i.c.) xenografts. For each cell line, the gene expression profile generated from tissue culture was significantly different from that generated from the s.c. tumor, which was significantly different from those grown i.c. The disparity between the i.c gene expression profiles and those generated from s.c. xenografts suggests that whereas an in vivo growth environment modulates gene expression, orthotopic growth conditions induce a different set of modifications. In this study the U251 and U87 gene expression profiles generated under the three growth conditions were also compared. As expected, the profiles of the two glioma cell lines were significantly different when grown as monolayer cultures. However, the glioma cell lines had similar gene expression profiles when grown i.c. These results suggest that tumor cell gene expression, and thus phenotype, as defined in vitro is affected not only by in vivo growth but also by orthotopic growth, which may have implications regarding the identification of relevant targets for cancer therapy.

MeSH terms

  • Animals
  • Cell Line, Tumor
  • Cell Proliferation
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic*
  • Glioma / genetics*
  • Glioma / pathology*
  • Humans
  • Mice
  • Mice, SCID
  • Oligonucleotide Array Sequence Analysis