Nuclear and cytoplasmic expression of ERβ1, ERβ2, and ERβ5 identifies distinct prognostic outcome for breast cancer patients
Nuclear and cytoplasmic expression of ERβ1, ERβ2, and ERβ5 identifies distinct prognostic outcome for breast cancer patients
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DOI:
10.1158/1078-0432.ccr-07-4528
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发表时间:
2008-08-15
影响因子:
11.5
通讯作者:
Speirs, Valerie
中科院分区:
文献类型:
--
作者:
Shaaban, Abeer M.;Green, Andrew R.;Speirs, Valerie
Purpose: Previous conflicting results about the prognostic significance of estrogen receptor (ER)-beta in breast cancer may be explained by contribution of isoforms, of which five exist. Our aim was to elucidate the prognostic significance of ER beta 1, ER beta 2, and ER beta 5 by immunohistochernistry in a large cohort of breast carcinomas with long-term follow-up. Experimental Design:Tissue microarrays were stained with ER beta 1, ER beta 2, and ER beta 5 antibodies and scored as percentage of positive tumor cells and using the Allred system. Nuclear and cytoplasmic staining was evaluated and correlated with histopathologic characteristics, overall survival (OS) and disease-free survival (DFS). Results: Nuclear ER beta 2 and ER beta 5, but not ER beta 1, significantly correlated with OS (P = 0.006, P = 0.039, and P = 0.099, respectively), and ER beta 2 additionally with DFS (P = 0.013). ER beta 2 also predicted response to endocrine therapy (P = 0.036); correlated positively with ER alpha, progesterone receptor, androgen receptor, and BRCA1; and correlated inversely with metastasis and vascular invasion. Tumors coexpressing ER beta 2 and ER alpha had better OS and DFS. Cytoplasmic ER beta 2 expression, alone or combined with nuclear staining, predicted significantly worse OS. Notably, patients with only cytoplasmic ER beta 2 expression had significantly worse outcome (P = 0.0014). Conclusions: This is the first study elucidating the prognostic role of ER beta 1, ER beta 2, and ER beta 5 in a large breast cancer series. ER beta 2 is a powerful prognostic indicator in breast cancer, but nuclear and cytoplasmic expression differentially affect outcome. Measuring these in clinical breast cancer could provide a more comprehensive picture of patient outcome, complementing ER alpha.