2004PubMedRequires access

[Association between the expression of estrogen receptor subunit in endometrial carcinoma and the prognostic factors of endometrial carcinoma].

Jiawen Zhang, Zhilan Peng

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Abstract

OBJECTIVE: To study the relationship between the expression of ERalpha and ERbeta mRNA in the fresh tissue from patients with endometrial carcinoma and to evaluate the association between the ratio of ERalpha/ERbeta and the prognostic factors of endometrial carcinoma. METHODS: Multiplex RT-PCR was used to study the expression of ERalpha and ERbeta mRNA in the fresh endometrial tissue from 41 cases of endometrial carcinoma. The association between the expression of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma was evaluated. RESULTS: ERalpha mRNA and ERbeta mRNA were detected in 95% and 90.2% of the 41 cases of endometrial carcinoma, respectively. ERalpha/ERbeta > 1 was detected in 21 cases and ERalpha/ERbeta < 1 was detected in 14 cases. Analysis revealed an association between the ratio of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma. CONCLUSION: In this study, ERalpha mRNA overexpression (ERalpha/ERbeta > 1) was found associated with good prognostic factors of endometrial carcinoma, whereas ERbeta mRNA overexpression (ERalpha/ERbeta < 1) was found associated with poor prognostic factors of endometrial carcinoma.

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OBJECTIVE: To study the relationship between the expression of ERalpha and ERbeta mRNA in the fresh tissue from patients with endometrial carcinoma and to evaluate the association between the ratio of ERalpha/ERbeta and the prognostic factors of endometrial carcinoma. METHODS: Multiplex RT-PCR was used to study the expression of ERalpha and ERbeta mRNA in the fresh endometrial tissue from 41 cases of endometrial carcinoma. The association between the expression of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma was evaluated. RESULTS: ERalpha mRNA and ERbeta mRNA were detected in 95% and 90.2% of the 41 cases of endometrial carcinoma, respectively. ERalpha/ERbeta > 1 was detected in 21 cases and ERalpha/ERbeta < 1 was detected in 14 cases. Analysis revealed an association between the ratio of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma. CONCLUSION: In this study, ERalpha mRNA overexpression (ERalpha/ERbeta > 1) was found associated with good prognostic factors of endometrial carcinoma, whereas ERbeta mRNA overexpression (ERalpha/ERbeta < 1) was found associated with poor prognostic factors of endometrial carcinoma.

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Available abstract

OBJECTIVE: To study the relationship between the expression of ERalpha and ERbeta mRNA in the fresh tissue from patients with endometrial carcinoma and to evaluate the association between the ratio of ERalpha/ERbeta and the prognostic factors of endometrial carcinoma. METHODS: Multiplex RT-PCR was used to study the expression of ERalpha and ERbeta mRNA in the fresh endometrial tissue from 41 cases of endometrial carcinoma. The association between the expression of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma was evaluated. RESULTS: ERalpha mRNA and ERbeta mRNA were detected in 95% and 90.2% of the 41 cases of endometrial carcinoma, respectively. ERalpha/ERbeta > 1 was detected in 21 cases and ERalpha/ERbeta < 1 was detected in 14 cases. Analysis revealed an association between the ratio of ERalpha/ERbeta mRNA and the prognostic factors of endometrial carcinoma. CONCLUSION: In this study, ERalpha mRNA overexpression (ERalpha/ERbeta > 1) was found associated with good prognostic factors of endometrial carcinoma, whereas ERbeta mRNA overexpression (ERalpha/ERbeta < 1) was found associated with poor prognostic factors of endometrial carcinoma.

Key concepts: Carcinoma, Estrogen receptor, Estrogen, Estrogen receptor alpha, Messenger RNA, Estrogen receptor beta, Cancer research, Breast carcinoma

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[Association between the expression of estrogen receptor subunit in endometrial carcinoma and the prognostic factors of endometrial carcinoma]. — Research Paper | ScholarLens