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

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 journal › Article › peer-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 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

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3-Dimensional microarray analysis of estrogen signal-related genes in breast cancer tissues. / Matsumoto, Mitsuyo; Sakamoto, Hiroko; Yamaguchi, Yuri; Seino, Yuko; Takei, Hiroyuki; Kurosumi, Masafumi; Sasano, Hironobu ; Yaegashi, Nobuo ; Hayashi, Shin Ichi.

In: Anticancer research, Vol. 29, No. 10, 10.2009, p. 3971-3975.

Research output: Contribution to journal › Article › peer-review

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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.",

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author = "Mitsuyo Matsumoto and Hiroko Sakamoto and Yuri Yamaguchi and Yuko Seino and Hiroyuki Takei and Masafumi Kurosumi and Hironobu Sasano and Nobuo Yaegashi and Hayashi, {Shin Ichi}",

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AU - Kurosumi, Masafumi

AU - Sasano, Hironobu

AU - Yaegashi, Nobuo

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