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Title: Global expression profiling identifies signatures of tumor virulence in MMTV-PyMT-transgenic mice: correlation to human disease.
Authors: Qiu TH; Chandramouli GV; Hunter KW; Alkharouf NW; Green JE; Liu ET
Journal: Cancer Res
Volume: 64
Issue: 17
Year: 2004
Pages: 5973-81
Abstract: FVB/N-Tg (MMTV-PyMT)(634Mul)-transgenic mice develop multifocal mammary tumors with a high incidence of pulmonary metastasis. We have demonstrated previously that mammary tumors derived from transgene-positive F1 progeny in particular inbred strains display altered latency, tumor growth rates, and metastatic rates when compared with the FVB/NJ homozygous parent. To identify genes with expression that might be critical in modifying the biological behavior of MMTV-PyMT tumors, we performed a detailed comparative analysis of expression profiles from mammary tumors arising in the parental FVB/NJ background and F1 progeny from crosses with I/LnJ, LP/J, MOLF/Ei, and NZB/B1NJ mice. Compared with normal mammary glands, gene expression profiles of tumors from all five strains exhibited up-regulation of genes involved in cell growth (e.g., Cks1 and CDC25C) and down-regulation of cell adhesion molecules, with many genes associated previously with human breast cancer such as STAT2, CD24 antigen, gelsolin, and lipocalin2. To identify genes with significant variation in expression between the five different genotypes, significance analysis of microarrays (SAM) and one-way ANOVA were used. Three definable groupings of tumors were identified: (a) tumors derived in the LP/J F1 and MOLF/Ei F1 strains in which tumor growth and dissemination are suppressed and latency prolonged; (b) the most aggressive tumors from the FVB/NJ parental strain and I/LnJ F1 genomic backgrounds; and (c) an intermediate virulence phenotype with tumors from NZB/B1NJ-F1 crosses. These array based assessments correlated well with a composite phenotype ranking using a 'virulence' index. The gene expression signature that is associated with a high metastatic rate in the mouse contains the same 17 genes described recently as the signature gene set predictive of metastasis in human tumors (1) with 16 of the 17 genes exhibiting the same directional change in expression associated with human metastases. These results demonstrate that the genetic analysis of mouse models of tumorigenesis may be highly relevant to human cancer and that the metastatic phenotype of a tumor may be affected by the germline genetic configuration of the host.
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J:92401  Mouse Genome Informatics
15342376  National Library of Medicine/PubMed