Abstract
Background: Expression analysis of estrogen response genes (ERGs) may help to predict the effectiveness of endocrine therapies in breast cancer patients. We produced a custom-made, 3-dimensional microarray system (3DMS), using previously identified ERGs, and analyzed expression of ERGs on breast cancer tissues. Materials and Methods: aRNA was synthesized from 27 breast cancer tumors. The aRNAs were applied to the infrastructure of a 3DMS with spotted cDNA probes to 36 ERGs. Data were analyzed by cluster analysis. Results: All 27 specimens were classified clearly into one of two clusters based on whether the ERGs were up or down regulated. These groups correlated with high expression of ER (P<0.05) and Her2 (P<0.05). In some cases, ERG expressions were low even though the tumor was ER positive. Conclusion: 3DMS may be useful for accurately predicting prognosis and whether endocrine therapies targeting the ER would be effective in an individual breast cancer patient.
| Original language | English |
|---|---|
| Pages (from-to) | 3971-3975 |
| Number of pages | 5 |
| Journal | Anticancer research |
| Volume | 29 |
| Issue number | 10 |
| Publication status | Published - 2009 Oct |
Keywords
- Breast cancer
- Estrogen response gene
- Microarray
ASJC Scopus subject areas
- Oncology
- Cancer Research
