Stromal microenvironment processes unveiled by biological component analysis of gene expression in xenograft tumor

Xinan Yang1, Younghee Lee, Yong Huang

  • 1Section of Genetic Medicine, Dept, of Medicine, University of Chicago, IL, USA. xyang2@uchicago.edu

BMC Bioinformatics
|November 4, 2010
PubMed
Abstract

Insights

Researchers can now analyze mouse xenograft models to understand the tumor microenvironment by identifying cross-species gene expression differences. This method reveals stromal signals without extra costs, aiding cancer research.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Mouse xenograft models are widely used to study cancer progression and therapeutic targets.
  • These models involve implanting human cancer cells into immune-suppressed mice.
  • Interspecies genetic differences in xenografts present an underexplored opportunity for research.

Purpose of the Study:

  • To identify stromal microenvironment signals within xenograft models.
  • To leverage unintended cross-hybridization of human array probes with mouse homologous genes.
  • To elucidate the biological significance of these cross-species interactions.

Main Methods:

  • Identified cross-species hybridizing probes using sequence alignment.
  • Performed cross-species hybridization experiments with human whole-genome arrays.
  • Predicted biological significance of deregulated stromal genes via enrichment studies.
  • Compared findings with laser capture microdissection of stromal cells from human tumor specimens.

Main Results:

  • Discovered deregulated stromal genes through cross-species probe analysis.
  • Identified significantly enriched stromal biological processes by comparing xenograft data with clinical tumor data.
  • Validated the utility of cross-hybridizing probes for microenvironment analysis.

Conclusions:

  • A novel method allows researchers to characterize the tumor microenvironment in xenograft models.
  • This approach exploits interspecies genetic differences, providing additional insights without increased costs.
  • The Xhyb probes and R script are publicly available for broader research application.