BACKGROUND: Estrogen action is mediated not only through a classic estrogen receptor (ER) (ER-alpha) but also through a second ER (ER-beta) that has a structure and function similar to ER-alpha. A correlation between ER-beta mRNA expression with ER and progesterone receptor (PR) protein levels as well as prognostic factors remains to be established in breast carcinoma. METHODS: The authors conducted a quantitative analysis of ER-alpha and ER-beta mRNA expression in 116 breast tumors using real-time polymerase chain reaction (PCR), and investigated a possible correlation between ER-alpha and ER-beta mRNA expression and ER and PR status as determined by enzyme immunoassay as well as with various prognostic factors. RESULTS: ER-alpha mRNA levels were significantly (P < 0.01) higher in ER positive compared with ER negative tumors. Conversely, ER-beta mRNA levels were significantly (P < 0.01) lower in ER positive compared with ER negative tumors. Accordingly, the ratio of ER-beta to ER-alpha was significantly (P < 0.01) higher in ER negative compared with ER positive tumors. A subset analysis based on ER and PR status showed that ER-beta mRNA levels as well as the ratios of ER-beta to ER-alpha mRNA level were highest in ER negative and PR negative tumors (P < 0.05). ER-alpha mRNA levels were significantly (P < 0.05) higher in postmenopausal compared with premenopausal tumors. Histologic Grade 3 tumors showed a significant decrease in ER-alpha mRNA levels compared with Grade 1 and 2 tumors (P < 0.01 and P < 0.05, respectively). No significant correlation between ER-alpha and ER-beta mRNA levels and histologic type, tumor size, or lymph node status was observed. CONCLUSIONS: An absolute and relative increase in ER-beta mRNA levels in ER negative and PR negative breast tumors, which rarely respond to endocrine therapy, suggests the possible involvement of up-regulation of ER-beta mRNA in the development of estrogen-independent tumors. Copyright 2000 American Cancer Society.
BACKGROUND: Estrogen action is mediated not only through a classic estrogen receptor (ER) (ER-alpha) but also through a second ER (ER-beta) that has a structure and function similar to ER-alpha. A correlation between ER-beta mRNA expression with ER and progesterone receptor (PR) protein levels as well as prognostic factors remains to be established in breast carcinoma. METHODS: The authors conducted a quantitative analysis of ER-alpha and ER-beta mRNA expression in 116 breast tumors using real-time polymerase chain reaction (PCR), and investigated a possible correlation between ER-alpha and ER-beta mRNA expression and ER and PR status as determined by enzyme immunoassay as well as with various prognostic factors. RESULTS:ER-alpha mRNA levels were significantly (P < 0.01) higher in ER positive compared with ER negative tumors. Conversely, ER-beta mRNA levels were significantly (P < 0.01) lower in ER positive compared with ER negative tumors. Accordingly, the ratio of ER-beta to ER-alpha was significantly (P < 0.01) higher in ER negative compared with ER positive tumors. A subset analysis based on ER and PR status showed that ER-beta mRNA levels as well as the ratios of ER-beta to ER-alpha mRNA level were highest in ER negative and PR negative tumors (P < 0.05). ER-alpha mRNA levels were significantly (P < 0.05) higher in postmenopausal compared with premenopausal tumors. Histologic Grade 3 tumors showed a significant decrease in ER-alpha mRNA levels compared with Grade 1 and 2 tumors (P < 0.01 and P < 0.05, respectively). No significant correlation between ER-alpha and ER-beta mRNA levels and histologic type, tumor size, or lymph node status was observed. CONCLUSIONS: An absolute and relative increase in ER-beta mRNA levels in ER negative and PR negative breast tumors, which rarely respond to endocrine therapy, suggests the possible involvement of up-regulation of ER-beta mRNA in the development of estrogen-independent tumors. Copyright 2000 American Cancer Society.
Authors: Philipp Y Maximov; Russell E McDaniel; Daphne J Fernandes; Puspanjali Bhatta; Valeriy R Korostyshevskiy; Ramona F Curpan; V Craig Jordan Journal: J Natl Cancer Inst Date: 2014-09-24 Impact factor: 13.506
Authors: Ayuko A Iverson; Cheryl Gillett; Paul Cane; Christopher D Santini; Thomas M Vess; Lauren Kam-Morgan; Alice Wang; Marcia Eisenberg; Charles M Rowland; Janice J Hessling; Samuel E Broder; John J Sninsky; Andrew Tutt; Steven Anderson; Sheng-Yung P Chang Journal: J Mol Diagn Date: 2009-03 Impact factor: 5.568