3-Dimensional microarray analysis of estrogen signal-related genes in breast cancer tissues

Mitsuyo Matsumoto, Hiroko Sakamoto, Yuri Yamaguchi, Yuko Seino, Hiroyuki Takei, Masafumi Kurosumi, Hironobu Sasano, Nobuo Yaegashi, Shin Ichi Hayashi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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 languageEnglish
Pages (from-to)3971-3975
Number of pages5
JournalAnticancer research
Volume29
Issue number10
Publication statusPublished - 2009 Oct

Keywords

  • Breast cancer
  • Estrogen response gene
  • Microarray

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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