PT  - JOURNAL ARTICLE
AU  - MITSUYO MATSUMOTO
AU  - HIROKO SAKAMOTO
AU  - YURI YAMAGUCHI
AU  - YUKO SEINO
AU  - HIROYUKI TAKEI
AU  - MASAFUMI KUROSUMI
AU  - HIRONOBU SASANO
AU  - NOBUO YAEGASHI
AU  - SHIN-ICHI HAYASHI
TI  - 3-Dimensional Microarray Analysis of Estrogen Signal-related Genes in Breast Cancer Tissues
DP  - 2009 Oct 01
TA  - Anticancer Research
PG  - 3971--3975
VI  - 29
IP  - 10
4099  - http://ar.iiarjournals.org/content/29/10/3971.short
4100  - http://ar.iiarjournals.org/content/29/10/3971.full
SO  - Anticancer Res2009 Oct 01; 29
AB  - 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.