- Open Access
Significance of ERβ expression in different molecular subtypes of breast cancer
© Guo et al.; licensee BioMed Central Ltd. 2014
Received: 29 August 2013
Accepted: 17 January 2014
Published: 23 January 2014
This study is to investigate the estrogen receptor β (ERβ) expression in molecular subtypes of breast cancer and clinic significance of ERβ expression.
The ERβ expression was detected in 730 cases of breast cancer tissue specimens by immunohistochemistry. Twenty-one patients were censored during 2–10 years follow-up. The difference in ERβ expression was analyzed by Pearson Chi-square Test. Its correlation with estrogen receptor α (ERα), progesterone receptor (PR) and human epidermal growth factor receptor 2 (Her-2) was analyzed by Spearman rank correlation. The accumulative tumor-free survival rate was calculated by Kaplan-Meier method and difference in survival rate was analyzed by Log-rank test. Cox regression was used for multi-factor analysis.
The ERβ expression was significantly different among the molecular subtypes of breast cancer (P < 0.05). The ERβ expression in breast cancer was positively correlated with Her-2 (P < 0.05) while it had no correlation with ERα and Her-2. The expression of ERα was negatively correlated with Her-2 (P < 0.01) whereas positively correlated with PR (P < 0.01). The expression of PR was negatively correlated with Her-2 (P < 0.05). The tumor-free survival rate in patients with positive ERβ expression was significantly lower than that in patients with negative ERβ expression.
Positive ERβ expression is a poor prognostic factor of breast cancer.
The virtual slides for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1084557586106833
Estrogen receptor (ER) and progesterone receptor (PR) are steroid hormone receptors that belong to the nuclear receptor superfamily. Clinically, ER and PR are hormone dependent receptors of cancer cells. The human epidermal growth factor receptor 2 gene (Her-2) encodes a transmembrane receptor-like protein, which has tyrosine kinase activity. ER, PR and Her-2 play important roles in prognosis of breast cancer. There are two types of ER, which are ERα and ERβ. ERβ was cloned in 1996 by Kuiper et al.  from the cDNA library of rat prostate and ovary. ERα and ERβ both play important roles in regulating the biological function of the estrogen . It is reported that ERβ has prognostic value in breast cancer [3, 4]. For example, Jensen et al.  reported that ERβ expression was closely related to tumor growth and invasion of breast cancer and was a prognostic factor for breast cancer.
Based on genetic profiles of ERα, PR and Her-2, Perou et al.  proposed the molecular subtypes of breast cancer in 2000, which included the luminal subtype, Her-2 overexpression type, basal-like type and normal breast-like type. In 2003, Sorlie et al.  further divided the luminal subtype into luminal A type and luminal B type. It is well-known that molecular subtypes are closely related to breast cancer prognosis. Luminal subtype of breast cancer has better prognosis than other subtypes and luminal A subtype has the best prognosis of all molecular subtypes . However, in clinical practice, expression of ER, PR and HER-2 evaluated by immunohistochemistry are used to identify various breast cancer subtypes. Evidence indicates that subtypes of breast cancer identified by DNA microarray may approximately relate to expression of commonly used markers in breast cancers: ER, PR and HER-2 status . Moreover, immunohistochemistry is much easier and cheaper than gene microarray, but provides significant information to discriminate good and poor prognosis breast cancer [10–12]. Thus, we used expression of ER, PR and HER-2 to identify molecular subtypes of breast cancer in this study.
In this study, the ERβ expression was examined by immunohistochemical staining in 730 cases of breast cancer. The ERβ expression was analyzed in different molecular subtypes of breast cancer. And the correlation of ERβ with ERα, PR and Her-2 was also studied. Additionally, the accumulative tumor-free survival rate of breast cancer patients with different expression levels of ERβ was further compared. Moreover, the prognostic role of ERβ in breast cancer was evaluated by Cox regression analysis.
Materials and methods
Clinical data of breast cancer patients used in this study (n (%))
≥ 40 ~ 59
Tumor size (cm)
> 2 -- ≤ 3
Lymph node metastasis
Prior written and informed consent was obtained from every patient and the study was approved by the ethics review board of Xinjiang Medical University.
Breast cancer tissue specimens were fixed in 10% formaldehyde for 24 h and then embedded in paraffin. Tissue specimens were sliced into 3 um sections and placed in a 70°C oven overnight. Sections were then dewaxed in xylene for 20 min and rehydrated in graded alcohols. Endogenous peroxidase was blocked by using a 3% solution of hydrogen peroxide for 10 min. For antigen retrieval, sections were placed in EDTA antigen retrieval solution and boiled for 20 min. After naturally cooling to room temperature and washing with PBS, sections were incubated with primary antibodies of polyclonal rabbit anti-human ERβ antibody (BY-02101, Shanghai Yueyan Biological Technology, CO., Ltd., Shanghai, China), monoclonal rabbit anti-human ERα antibody (ZA-0102, Beijing Zhong Shan-Golden Bridge Biological Technology CO., Ltd., Beijing, China), monoclonal rabbit anti-human PR antibody (ZA-0255, Beijing Zhong Shan-Golden Bridge Biological Technology CO., Ltd., Beijing, China) and monoclonal rabbit anti-human Her-2 antibody (4B5, Ventana Medical Systems Inc., Tuscon, Arizona, USA) at 37°C for 1 h in the dark. Then sections were incubated with secondary antibodies of HRP conjugated anti-rabbit IgG at 37°C for 30 min in the dark. After antibody incubation, sections were developed with DAB chromogenic reagent for 5 min and counterstained with haematoxylin. After hydrochloric acid differentiation and dehydration in graded alcohols, sections were mounted with neutral gum. Positive samples were used as the positive controls. In the negative controls, the secondary antibodies were replaced with PBS.
Determination of ERβ, ERα, PR and Her-2 expression levels
The immunohistochemical staining results were evaluated by an experienced pathologist. Cells with brown staining were ERβ positive cells. Five fields at high-magnification were randomly taken. ERβ positive rate was the ratio of the number of ERβ positive cells to the total number of cells in each field. ERβ positive rate less than 1% was defined as ERβ negative (ERβ (−)). A positive rate between 1% and 10% was defined as ERβ weak positive (ERβ (+)). ERβ positive rate between 10% and 50% was defined as ERβ positive (ERβ (++)). ERβ positive rate over than 50% was ERβ strong positive (ERβ (+++)).
ERα and PR positive cells were also stained brown. According to the “Guideline Recommendations for Immunohistochemical Testing of Estrogen and Progesterone Receptors in Breast Cancer” published by American Society of Clinical Oncology (ASCO) and College of American Pathologists (CAP) in 2010, a positive staining rate of > 1% was considered positive expression.
Based on “Her-2 Detection Guide” published by Chinese Journal of Pathology in 2009, positive staining of Her-2 was defined as: 0, no staining; 1+: weak or incomplete cell membrane staining; 2+: > 10% of invasive cancer cells showing weak to moderate intensity with complete but nonuniform membrane staining or < 30% of invasive cancer cells showing strong, complete and uniform membrane staining; 3+: > 30% of invasive cancer cells showing strong, complete and uniform membrane staining.
SPSS17.0 software was used for statistical analysis. Expression difference was analyzed by Pearson chi-square test and correlation among different expressions was assessed by Spearman’s Rank-order correlation. The accumulative tumor-free survival rate was calculated using the Kaplan-Meier method. The difference in tumor-free survival between groups with different ERβ expression was compared by Log-rank test. Analysis of multivariate prognostic factors was performed by Cox regression model. P < 0.05 was considered statistically significant.
ERβ, ERα, PR and Her-2 expression in breast cancer
ERβ expression is significantly different in different molecular subtypes of breast cancer
Expression of ERβ in different molecular subtypes of breast cancer
Luminal A type
Luminal B type
Her-2 over-expression type
Basal like type
Correlation analysis of ERβ, ERα, PR and Her-2 expression
Correlation analysis of ERβ, ERα, PR and Her-2 expression
The tumor-free survival rate of the patients with positive expression of ERβ is significantly decreased
Analysis of prognostic factors for breast cancer
Analysis of prognostic factors for breast cancer by Cox multivariate analysis
95.0% confidence intervals
Breast cancer is a common malignancy in women, with high mortality rate . Identification of biomarkers for early detection and new therapeutic targets of breast cancer helps to reduce the morbidity of this frequent pathology in women. To date, several breast markers have been postulated, such as ER (ERα and ERβ), PR, Her-2, BRCA1 (breast cancer susceptibility gene) and β1 integrin [14–16]. Among them, the role of ERβ in breast cancer prognosis is still controversial. In this study, the expression of ERβ in different molecular subtypes of breast cancer was compared. Our result showed that the expression level of ERβ had significant difference (P < 0.05) in the four molecular subtypes of breast cancer. In ERβ negative expression group, the proportion of luminal A type was significantly higher than the other three subtypes while the proportion of Her-2 overexpression type and basal like type was the lowest. Due to its strong invasive ability and metastasis ability, the basal like type is an independent prognostic factor of distant metastasis . In this study, the basal like type had higher proportion of cases with ERβ (+++) expression, indicating that overexpression of ERβ may suggest poor prognosis of breast cancer.
Her-2 is considered to be an oncogene that is closely related to the development of breast cancer . It is involved in the regulation of cell proliferation and differentiation, and its over-expression indicates high degree of malignancy, high recurrence rate, strong invasion and metastasis and poor prognosis. In this study, ERα and Her-2 expression was significantly negatively related (P < 0.01). PR expression and Her-2 expression was negatively related (P < 0.05). ERα expression and PR expression was significantly positively related (P < 0.01). These results were consistent with previous reports . Moreover, ER and PR might be associated with Her-2 signal transduction pathway . ERα in combination with estrogen could inhibit the expression of Her-2. Her-2 expression is up-regulated when ERα expression is down-regulated. Chung et al.  also found that the Her-2 expression was directly related with ERα expression. However, the role of ERβ in breast cancer and whether it could be used as a prognosis indicator of breast cancer are still controversial. Most studies suggest that ERβ is positively correlated with epidermal growth factor receptor . ERβ inhibits apoptosis of tumor cells and thus ERβ positive expression suggests poor prognosis of breast cancer. However, some studies indicate that ERβ confers a good prognosis of breast cancer . In this study, ERβ and Her-2 was positively related (P < 0.05), suggesting that positive expression of ERβ may be a poor indicator of breast cancer prognosis. This result was consistent with the data reported by Huang et al. . They found that positive expression of ERβ indicated poor distant disease-free survival (DDFS) rather than the overall survival time. ERβ may be related to distant metastasis of breast cancer and the overall survival time of the patients with positive ERβ expression was significantly lower than the ones with negative ERβ expression.
The cumulative tumor-free survival rate was analyzed by the Kaplan-Meier method. The cumulative tumor-free survival rate of the patients with positive ERβ expression was significantly decreased. The Cox multivariate analysis showed that ERβ expression, clinical stage and postoperative chemotherapy were independent risk factors for breast cancer prognosis. The positive ERβ expression was a high-risk prognostic factor, suggesting a poor prognosis in patients with positive ERβ expression. The underlying mechanisms of the role of ERβ in breast cancer might be related with the following two aspects. One is that through binding with ERβ, estrogen can activate G protein which rapidly inhibits c-Jun N-terminal kinase (JNK) pathway and apoptosis of breast cancer cells . The other one is that ERβ could regulate the expression of related genes in the Wnt signaling pathway . Thus, ERβ could regulate the cell proliferation and invasion of breast cancer. And its expression is closely related with the recurrence and metastasis of breast cancer.
In summary, ERβ was differentially expressed in different breast cancer molecular subtypes. And ERβ expression was positively correlated with Her-2 expression. The cumulative tumor-free survival time in patients with negative ERβ expression was longer than the ones with positive ERβ expression. Multivariate analysis indicates that ERβ was an independent risk factor for breast cancer prognosis. Therefore, we suppose that combined detection of ERβ and ERα would be beneficial to better assess the proliferation activity of breast cancer and to improve the accuracy of prognosis evaluation in patients with breast cancer.
This work was supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region grant (No. 2011211A069).
- Kuiper GG, Enmark E, Peltohuikko M, et al.: Cloning of a novel receptor expressed in rat prostate and ovary. Proe Natl Acad Sci USA. 1996, 93: 5925-5930.View ArticleGoogle Scholar
- Omoto Y, Kobayashi S, Inoue S, et al.: Evaluation of estrogen receptor beta wild-type and varant protein expression, and relationship with clinicopathological factors in breast cancers. Eur J Cancer. 2002, 38: 380-386.PubMedView ArticleGoogle Scholar
- Pettersson K, Gustafsson JA: Role of estrogen rececptor βin estrogen action. Annu Rev Physiol. 2001, 63: 165-192.PubMedView ArticleGoogle Scholar
- Osborne CK, Schiff R: Estrogen-receptor biology: continuing progress and therapeutic implications. J Clin Oncol. 2005, 23: 1616-1622.PubMedView ArticleGoogle Scholar
- Jensen EV, Cheng G, Palmieri C, et al.: Estrogen receptors and proliferation markers in primary and recurrent breast cancer. Proc Natl Acad Sci USA. 2001, 98: 15197-15202.PubMedPubMed CentralView ArticleGoogle Scholar
- Perou CM, Sorlie T, Eisen MB, et al.: Molecular portraits of human breast tumours. Nature. 2000, 406: 747-752.PubMedView ArticleGoogle Scholar
- Sorlie T, Tibshirani R, Paker J, et al.: Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci USA. 2003, 100: 8418-8423.PubMedPubMed CentralView ArticleGoogle Scholar
- Su Y, Zheng Y, Zheng W, et al.: Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort study. BMC Cancer. 2011, 11: 292-PubMedPubMed CentralView ArticleGoogle Scholar
- Chuthapisith S, Permsapaya W, Warnnissorn M, et al.: Breast cancer subtypes identified by the ER, PR and HER-2 status in Thai women. Asian Pac J Cancer Prev. 2012, 13: 459-462.PubMedView ArticleGoogle Scholar
- Noriega M, Paesani F, Perazzo F, et al.: Immunohistochemical characterization of neoplastic cells of breast origin. Diagn Pathol. 2012, 7: 73-PubMedPubMed CentralView ArticleGoogle Scholar
- Kostianets O, Antoniuk S, Filonenko V, Kiyamova R: Immunohistochemical analysis of medullary breast carcinoma autoantigens in different histological types of breast carcinomas. Diagn Pathol. 2012, 7: 161-PubMedPubMed CentralView ArticleGoogle Scholar
- El Fatemi H, Chahbouni S, Jayi S, et al.: Luminal B tumors are the most frequent molecular subtype in breast cancer of North African women: an immunohistochemical profile study from Morocco. Diagn Pathol. 2012, 7: 170-PubMedPubMed CentralView ArticleGoogle Scholar
- Siegel R, Naishadham D, Jemal A: Cancer statistics, 2013. CA Cancer J Clin. 2013, 63: 11-30.PubMedView ArticleGoogle Scholar
- Furrer D, Jacob S, Caron C, et al.: Validation of a new classifier for the automated analysis of the human epidermal growth factor receptor 2 (HER2) gene amplification in breast cancer specimens. Diagn Pathol. 2013, 8: 17-PubMedPubMed CentralView ArticleGoogle Scholar
- Zhang Q, Zhang Q, Cong H, Zhang X: The ectopic expression of BRCA1 is associated with genesis, progression, and prognosis of breast cancer in young patients. Diagn Pathol. 2012, 7: 181-PubMedPubMed CentralView ArticleGoogle Scholar
- dos Santos PB, Zanetti JS, Ribeiro-Silva A, Beltrão EI: Beta 1 integrin predicts survival in breast cancer: a clinicopathological and immunohistochemical study. Diagn Pathol. 2012, 7: 104-PubMedPubMed CentralView ArticleGoogle Scholar
- Zhang P, Xu BH, Ma F, Li Q, Yuan P, Wang JY, Zhang P: Treatment outcomes and clinicopathologic characteristics of advanced triple-negative breast cancer patients. Chinese Journal of Oncology. 2011, 33: 381-384.PubMedGoogle Scholar
- Gown AM: Current issues in ER and HER-2 testing by IHC in breast cancer. Mod Pathol. 2008, 21: S8-PubMedView ArticleGoogle Scholar
- Dowsett M, Harper-Wynne C, Boeddinghaus I, et al.: HER-2 amplification impedes the antiproliferative effects of hormone therapy in estrogen receptor-positive primary breast cancer. Cancer Res. 2001, 61: 8452-8458.PubMedGoogle Scholar
- Liu QY, Kong LF, Liu ZG: Clinical value of detection of HER-2 gene in breast cancer. Journal of Chinese Practical Diagnosis and Therapy. 2010, 24: 778-Google Scholar
- Chung YL, Sheu ML, Yang SC, et al.: Resistance to tamoxifen-induced apoptosis with direct interaction between Her-2/neu and cell membrane estrogen receptor in breast cancer. Int J Cancer. 2002, 97: 306-312.PubMedView ArticleGoogle Scholar
- Speris V: Oestrogen receptor beta in breast cancer:good, bad or still too early to tell?. Pathol. 2002, 197: 143-147.Google Scholar
- Xu YN, Jiang J, Cheng H, et al.: Expression and significance of estrogen receptor isoforms in different breast tissues. J Third Mil Med Univ. 2007, 29: 1093-1095.Google Scholar
- Huang WY, Chen DH, Shen Z: Effect of estrogen receptor and HER2 co-expression on the prognosis of breast cancer. Chinese Medical Herald. 2012, 9: 20-23.Google Scholar
- Razandi M, Pedram A, Levine R: Plasma membrane estrogen receptorssignal to antiapoptosis in breast cancer. Mol Endocrinol. 2000, 14: 1434-1447.PubMedView ArticleGoogle Scholar
- Sun H, Zhang J, Hao XS: Mechanisms of estrogen receptor β and its signal transduction pathway related genes in the development of different breast cancer model. Chinese Journal of experimental surgery. 2006, 23: 1422-1423.Google Scholar
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.