- Paper Report
- Open Access
Multigene expression patterns predict metastatic behavior
- Karen L Schmeichel1
© Biomed Central Ltd 2001
- Received: 8 August 2001
- Accepted: 20 August 2001
- Published: 1 December 2001
- Assays of invasion, breast cancer cell lines, cDNA arrays, metastasis, prognostic indicators
Comparative gene expression analysis of clinically derived breast cancer specimens or established breast cancer cell lines is a promising approach for the identification of critical breast-cancer-related gene clusters. The aim of this study was to use array technology to identify patterns that could be predictive for a specific metastatic behavior (i.e. weakly or highly invasive), as measured by a number of in vitro assays. As proof-of-principle for future diagnostic scenarios, the authors proposed to test the predictive capacity of these "consensus expression profiles" in the context of other breast cancer cell lines whose metastatic behavior had not been systematically characterized in vitro.
A 24-gene cassette was identified that reproducibly distinguished between weakly invasive or highly invasive cell lines. Consistent with the proposed hypothesis, uncharacterized cell lines with the weakly invasive cassette showed a weakly invasive phenotype. Likewise, the highly invasive consensus was a reasonable indicator of a highly metastatic phenotype. Three single genes (encoding keratin 19, vimentin and fos-related antigen-1) were identified as reliable indicators of metastatic potential.
cDNA hybridization, Pearson correlation coefficients, northern blot, RT-PCR, chemoinvasion and migration assays, Matrigel outgrowth