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Expression of AIB1 protein as a prognostic factor in breast cancer

World Journal of Surgical Oncology volume 9, Article number: 139 (2011) Cite this article

Abstract

Background

AIB1 (amplified in breast cancer I) is a member of the p160 steroid receptor coactivator family. AIB1 is frequently overexpressed in breast cancer and has functions that promote oncogenesis that are independent of estrogen receptor (ER) coactivation. We investigated prognostic significance of AIB1 and relationship between AIB1 and ER, progesterone receptor (PR), androgen receptor (AR), DAX-1, and HER2.

Methods

RNA in situ hybridization (ISH) and immunohistochemical (IHC) staining for AIB1, IHC staining for ER and the progesterone receptor (PR) and IHC staining and silver in situ hybridization (SISH) for HER2 were performed for 185 breast cancer cases.

Results

A high level of expression of AIB1 mRNA was observed in 60.0% of tumors. IHC analysis detected AIB1 positivity in 47.3% of tumors, which did not correlate with AIB1 mRNA expression (p = 0.24, r = 0.10). AIB1 protein expression correlated with AR and DAX-1 expression (p = 0.01, r = 0.22 and p = 0.02, r = 0.21, respectively) but not with ER or PR expression (p = 0.14, r = -0.13 and p = 0.16, r = -0.12, respectively). AIB1 protein expression correlated with the amplification of the HER2 gene (p = 0.03, r = 0.19). In contrast to AIB1 protein expression, AIB1 mRNA expression did not correlate with AR, DAX-1, ER, and PR expression, and the amplification of the HER2 gene (p > 0.05 for all).

There were trends that strong AIB1 protein expression correlated with poorer disease free survival (p = 0.07). Strong AIB1 protein expression correlated with poorer overall survival (p = 0.04). Among the ER-negative subgroup, strong AIB1 protein expression correlated with poorer disease free survival and overall survival (p = 0.01 and p < 0.01, respectively).

Conclusions

Strong AIB1 protein expression was poor prognostic factor in breast cancer, especially in ER-negative breast cancers. Further investigation is essential to determine whether AIB1 might be effective therapeutic targets for ER-negative breast cancers.

Background

Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death among females, accounting for 23% of all cancers [1]. Estrogen hormones regulate the development and growth of normal and malignant breast epithelial cells via the estrogen receptor (ER). Selective estrogen receptor modulators such as tamoxifen are well-established treatment modalities for ER-positive breast cancer. However, a significant proportion of ER-positive patients suffer from endocrine therapy resistance. Furthermore, up to 30% of breast cancers are negative for ER, lacking effective targeted therapy [2].

Estrogen signaling are the interactions of ER with transcriptional coactivators including p/CAF, CREB binding protein(CBP), p300 and the p160 family members [3]. AIB1 (amplified in breast cancer I) is a member of the p160 steroid receptor coactivator family, which includes SRC-1 and SRC-2 [4]. It is located on chromosome 20q12, a common region of amplication in breast cancer. It is recruited to hormone-responsive genes through their interaction with activated receptors and then nucleate the assembly of a coactivator complexs, which in turn remodels chromatin through histone modifications and facilitates RNA polymerases II transcription [5]. AIB1 can activate nuclear receptors such as ER and the androgen receptor (AR) and transcription factors such as E2F1 [6]. Anzick et al. have demonstrated that the AIB1 gene is overexpressed in breast cancer and ovarian malignancy [5]. Other previous studies have indicated that AIB1 has important roles in carcinogenesis in breast tissue and is associated with resistance to endocrine treatment [5, 7]. AR, which is detected in ER-negative breast cancer, has recently been suggested as a therapeutic target for a subset of triple-negative breast cancers [8]. AIB1 is a preferred co-activator for AR in prostate cancer [9].

In this study, we investigated the prognostic significance of AIB1 and its relationship with steroid hormone receptors including ER, the progesterone receptor (PR), and AR, DAX-1, and HER2.

Materials and methods

Patients and tissue samples

We analyzed 185 patients who underwent surgical resection and had confirmed breast carcinoma between January 2004 and December 2008 at the Kangnam St. Mary's Hospital at the Catholic University of Korea. The normal tissue of breast, palatine tonsil, placenta and pancreas for control were obtained after anonymization. This study was approved by the hospital's Institutional Review Board and followed recommendations for tumor marker prognostic studies [10]. The mean age at diagnosis was 51 years (range, 30-71 years). Most tumors (n = 173) were invasive ductal carcinomas. The remaining tumors were 3 cases of invasive lobular carcinoma, 4 cases of mucinous carcinoma, 2 cases of medullary carcinoma, 1 tubular carcinoma and 2 invasive micropapillary carcinoma. Data regarding patient demographics were obtained by reviewing medical records. The immunohistochemical (IHC) staining data for ER, PR, AR, DAX-1, and HER2 were obtained from a previous study in 133 overlapping patients [11]. The median length of follow-up was 52.5 months (range, 4.2-89.8 months). Within the observation period, there were 5 breast cancer-specific deaths and 22 breast cancer relapses. The other clinicopathologic characteristics are summarized in Table 1.

Table 1 Correlation of clinicopathological parameters and AIB1 mRNA expression in 185 breast cancer patients
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Tissue microarray

To construct the tissue microarray block, 2 mm-sized core biopsies were taken from morphologically representative areas of formalin-fixed and paraffin-embedded tumor tissue and were assembled on a recipient paraffin block containing 30 biopsies using a precision instrument (Micro Digital Co., Gunpo-si, Gyeonggi-do, Korea). After construction, 4 μm sections were removed, and the histology was verified by hematoxylin-eosin staining. Each of the recipient blocks included one core of normal breast for internal control, two cores of palatine tonsil and placenta for proper TMA orientation and universal control.

mRNA in situ hybridization (ISH)

A commercially available mRNA ISH kit (QuantiGene®ViewRNA, Paranomics Inc., Fremont, CA, USA) was used according to the manufacturer's protocol. Five micrometer sections for the paraffin embedded tissue arrays were cut and attached to positively charged glass slides. The samples were incubated with a pretreatment solution followed by protease digestion. An AIB1-gene-specific probe was designed (forward primer: CTAATCCCTATGGCCAAGCA and reverse primer: CTTTCGTCACTCTGGCCTTC). A probe set was hybridized and amplifier molecules were hybridized to each pair of oligonucleotides. The fast red substrate, alkaline phophatase breaks down the substrate to form a precipitate. AIB1 mRNA is visualized using confocal microscopy (LSM 510 Meta, Carl Zeiss, Oberkochen, Germany). AIB1 mRNA was independently examined by two pathologists. The expression level was semi-quantitatively determined based on the number of cytoplasmic red dots in the tumor cells (0, 1+, 2+, and 3+). In normal breast tissue, the expression of AIB1 mRNA was 1+. For the purpose of further analysis, the data were organized into two categories using a cut-off value equal to the AIB1 mRNA level in normal breast: low expression (0 and 1+) and high expression (2+ and 3+) (Figure 1).

Figure 1
figure 1

RNA in situ hybridization for AIB1 mRNA. A: Expression of AIB1 mRNA was 1+ in normal breast tissue samples. B: Breast cancer tissue sample with 1+ AIB1 mRNA expression (×400). B: Breast cancer tissue sample with negative AIB1 mRNA expression (×400). C: Breast cancer tissue sample with low (1+) AIB1 mRNA expression (×400). D: Breast cancer tissue sample with high (2+) AIB1 mRNA expression (×400). E: Breast cancer tissue sample with high (3+) AIB1 mRNA expression (×400).

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Immunohistochemistry (IHC)

Four-micrometer sections of the formalin-fixed and paraffin-embedded tissue arrays were deparaffinised and rehydrated in a graded series of alcohol. Endogenous peroxidase activity was inhibited using 3% hydrogen peroxide. Heat-induced epitope retrieval was conducted by immersing the slides in Coplin jars that were filled with 0.01 M citrate buffer (pH6.0), boiling the slides in a microwave vacuum histoprocessor (RHS-1, Milestone, Bergamo, Italy) at a controlled final temperature of 121°C for 15 min and cooling the slides to room temperature for 15 min. The tissue arrays were processed in an automatic IHC staining machine (Lab Vision Autostainer, Lab Vision Co., Fremont, CA, USA) with a DAKO ChemMate™ EnVision™ system (DAKO, Carpinteria, CA, USA) according to the manufacturer's protocol. The following antibodies were used: AIB1 (1:100, NCoA-3, Santa cruz biotechnology), ER (1:100, 6F11, Novocastra, Newcastle, UK), PR (1:50, PgR636, DAKO), and HER2 (1:200, polyclonal, DAKO). The immunoreactions were visualized with 3-3'-diaminobenzidine (DAB) and counterstained with Mayer's hematoxylin. Positive control for AIB1 was paraffin embedded pancreas tissue, which showing cytoplasmic staining of exocrine glands [12].

Immunostaining for AIB1, ER, PR and HER2 was independently examined by two pathologists. The tumors with > 10% nuclear-stained cells were considered positive for AIB1, ER, or PR. For AIB1, their staining intensities were classified into three categories: 0, negative; 1+, weakly positive, and 2+, strong positive (Figure 2). For ER and PR (including previously stained overlapping cases [11]), the proportion of positively stained cells was classified into 5 categories: 0, negative; 1+, 11-25%; 2+, 26-50%; 3+, 51-75%; 4+, 76-100%. The HER2 expression level was classified into four groups according to the ASCO/CAP guideline recommendations for HER2 IHC [13].

Figure 2
figure 2

Immunohistochemical staining for AIB1. A: Expression of AIB1 was negative in normal breast tissue samples (×200). B: Breast cancer tissue sample with negative AIB1 staining (×200). C: Breast cancer tissue sample with weak AIB1 staining (×200). D: Breast cancer tissue sample with strong AIB1 staining (×200).

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HER2 silver in situ hybridization (SISH)

The HER2 status was confirmed using HER2 SISH, when the IHC staining result for HER2 was equivocal (2+). Four-micrometer sections of the tissue arrays were stained according to the manufacturer's protocols with the INFORM HER2 DNA probes (Ventana, Tucson, USA). The probe was labeled with dinitrophenol (DNP) and optimally formulated for use with the ultraView SISH Detection Kit and the Ventana BenchMark®XT automated slide stainer (Ventana). The black dot signals for the HER2 gene were counted in at least 20 tumor cells and classified into 3 categories: negative if HER2 signals/nucleus < 4, equivocal if HER2 signals/nucleus 4-6, and positive if HER2 signals/nucleus > 6.

Statistical analysis

All statistical analyses were performed using SPSS (version 13.0, SPSS Inc., Chicago, IL, USA) for Windows. The association between mRNA ISH and IHC results and clinicopathological variables was evaluated using the Chi-square test or Fisher's exact probability test. The association between AIB1 and steroid hormones and co-factors was evaluated using the Spearman correlation test. Kaplan-Meier plots were used to estimated recurrence free survival and overall survival, and the statistical significance was determined by the log-rank test. All Kaplan-Meier curves were curtailed when less than five individuals remained at risk. P values less than 0.05 were considered significant.

Results

AIB1 mRNA expression does not correlate with AIB1 protein expression

A total of 6 (3.2%), 105 (56.8%), 50 (27.0%) and 24 (13.0%) tumors had 0, 1+, 2+, and 3+ of AIB1 mRNA, respectively (Figure 1). Using a cut-off value equal to the AIB1 mRNA in normal breast tissues (1+), we determined that 60.0% of tumors had low levels (0 and 1+) of AIB1 mRNA expression and 40.0% of tumors had high levels (2+ and 3+). Palatine tonsil and placenta showed high expression (3+) and low expression (0) of AIB1 mRNA, respectively. Using IHC analysis, we detected AIB1 positivity in 47.3% (61 out of 129) of tumors, including 46 weakly positive and 15 strongly positive cases (Figure 2). Normal breast was not stained, and palatine tonsil and placenta were weakly positive and negative, respectively. AIB1 mRNA expression did not correlate with the IHC result for AIB1 (p = 0.24, r = 0.10). High expression of AIB1 mRNA correlated with a larger tumor size (p = 0.01) (Table 1).

AIB1 protein expression correlates with AR, DAX-1, and HER2 expression

Using a cut-off value as previously described [11], the positive rates for ER, PR, AR, and DAX-1 were 69.2%, 68.6%, 81.4% and 75.2%, respectively. AIB1 protein expression correlated with histologic type (p = 0.04) (Table 2). HER2 was amplified in 25.4% of tumors (47 out of 185). AIB1 protein expression correlated with AR and DAX-1 expression (p = 0.01, r = 0.22 and p = 0.02, r = 0.21, respectively) but not with ER or PR expression (p = 0.14, r = -0.13 and p = 0.16, r = -0.12, respectively) (Table 3). AIB1 protein expression correlated with the amplification of the HER2 gene (p = 0.03, r = 0.19) (Table 3). In contrast to AIB1 protein expression, AIB1 mRNA expression did not correlated with AR, DAX-1, ER, and PR expression, and the amplification of the HER2 gene (p > 0.05, each).

Table 2 Correlation of clinicopathological parameters and AIB1 protein expression in 129 breast cancer patients
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Table 3 Association analyses of IHC results of AIB1, ER, PR, AR, and DAX-1, and the HER2 gene status
Full size table

Strong AIB1 protein expression is a poor prognostic factor in breast cancers

Disease-free survival lengths and overall survival lengths according to the AIB1 mRNA levels were not significantly different (p = 0.35 and p = 0.49, respectively) (Figure 3A). There were trends that strong AIB1 protein expression correlated with poorer disease free survival (p = 0.07) (Figure 3B). Strong AIB1 protein expression correlated with poorer overall survival (p = 0.04). In the ER-negative subgroup, strong AIB1 protein expression correlated with poorer disease free survival and overall survival (p = 0.01 and p = < 0.01, respectively) (Figure 3C). For the HER2-amplified subgroup, strong AIB1 protein expression did not have a significant impact on patient survival time (P > 0.05), although mean survival time was reduced (Figure 3D).

Figure 3
figure 3

Kaplan-Meier survival curves to evaluate differences in disease-free survival. A: DFS according to the AIB1 mRNA expression level. B: DFS according to the AIB1 protein expression level. C: DFS according to the AIB1 protein expression level in ER-negative breast cancers. D: DFS according to AIB1 protein expression in HER2 positive breast cancers.

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Discussion

AIB1 is a well-known transcriptional coactivator that promotes the transcriptional activity of multiple nuclear receptors such as ER, PR, the thyroid hormone receptor and the retinoic acid receptor [5, 14, 15] AIB1 has also been shown to coactivate other hormone receptor-independent transcription factors such as STAT and AP-1 via histone acetylation/methylation [16]. Previous reports have indicated that AIB1 regulates other signaling pathways such as the PI3K/Akt/mTOR pathway [17]. AIB1 transgenic mice (overexpressing AIB1 in mammary glands) with ovariectomy, display a high incidence of mammary tumors (48%, 48/100), and AIB1 has functions that promote oncogenesis that are independent of ER coactivation [17]. Therefore, further investigation is required to ascertain the oncogenic role of AIB1 in breast cancer independent of ER coactivation.

AIB1 gene (20q13) amplication occurred in 2-10% of breast cancer smaples with high AIB1 mRNA expression. However, increased AIB1 mRNA levels have been reported in 31-64% of breast cancer [18, 19], suggesting that another mechanism mediates AIB1 overexpression independent of amplification. In our study, 40.0% of tumors exhibited high expression of AIB1 mRNA and 47.3% of tumors exhibited positive AIB1 staining by IHC analysis. Previous studies have reported that AIB1 protein and mRNA levels correlate well [7]. However, our results do not confirm those reports. We showed that the AIB1 mRNA level did not correlated with AIB1 protein level, which was detected using IHC analysis (p = 0.24, r = 0.10). AIB1 protein levels are affected by various factors including the levels of AIB1 mRNA expression and stability; the translational activity, which may be regulated by exogenous substances such as tamoxifen and endogenous microRNAs such as mir-17-5p; and proteasomal degradation [7, 20–22].

AIB1 is an important oncogene in breast tissue and is associated with poorer disease-free survival [23, 24]. AIB1, like the ER itself, is phosphorylated and thereby fuctionally activated by MAPKs. Therefore high levels of activated AIB1 could reduce the antagonist effects of tamoxifen [3]. Clinical studies by Osborne et al. [25] and Alkner et al. [26] also reported that high AIB1 was associated with tamoxifen resistance. In the same context, it could be partly explained by resistance to antiestrogen therapy that strong AIB1 protein expression was correlated with poorer overall survival. However, there seems to be another mechanism involved other than resistance to antiestrogen therapy, because in the ER-negative subgroup which did not get antiestrogen therpy, strong AIB1 protein expression also correlated with short disease-free and overall survival (p = 0.006 and p = 0.001, respectively). Harigopal et al. have reported that AIB1 in ER-negative breast cancer is associated with a negative prognostic effect [24]. In prostate cancer, Zou et al. demonstrated the effect of AIB1 and AR depletion by adenovirus vector-mediated siRNA expression on cell proliferation [27]. Reduction of AIB1 and AR level results in inhibition of androgen dependent and androgen-independent tumor cell proliferation through direct control of cell cycle genes, suggesting that AIB1 and AR may play important roles in androgen ablation resistance by controlling cell cycle gene expression [27]. Although many breast cancers express AR, the association of AR and AIB1 in breast cancer has not been studied well. AIB1 binds specifically to AR via the first and third LXXLL motifs in AIB1 and to ER via the second LXXLL motif in AIB1 [9]. Interestingly, phosphorylation is required for AIB1 activity. AIB1 is selectively phosphorylated when cells are treated with androgen and estrogen [28].

DAX-1 functions as a global negative regulator of steroid hormone production. However, the expression of DAX-1 is positively correlated with the expression of AR in breast cancer [29]. We previously reported that DAX-1 is positively correlated with AR. In our previous report, we suggested that DAX-1 might be a more effective target than AR in triple-negative breast cancer because the overall expression rate of DAX-1 is high, even in these triple-negative breast cancers [11]. In the present study, AIB1 protein expression correlated with the expression of the nuclear receptor AR and DAX-1. Furthermore, positive IHC staining for AIB1 was observed in 53.8% of ER-negative breast cancers. These findings support the hypothesis that AR, DAX-1, and AIB1 might be effective therapeutic targets, especially for ER-negative cancers.

In the HER2-amplified subgroup, patients with strong AIB1 protein expression showed reduced disease-free survival according to the Kaplan-Meier plot (not statistically significant). Spears et al. have demonstrated tumors that overexpress both HER2 and AIB1 have poorer prognosis than HER2 and AIB1 only overexpressing tumors [30].

Conclusions

Strong AIB1 protein expression was correlated with poorer overall survival in ER-negative breast cancers. Further investigation is essential to determine whether AIB1 might be effective therapeutic targets for ER-negative breast cancers, since positive IHC staining for AIB1 was observed in 53.8% of ER-negative breast cancers.

Abbreviations

AIB1:

amplified in breast cancer 1

ER:

estrogen receptor

PR:

progesterone receptor

SISH:

silver in situ hybridization

AR:

androgen receptor

ISH:

in situ hybridization

IHC:

immunohistochemistry

DAB:

3-3'-diaminobenzidine.

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D: Global cancer statistics. CA: A Cancer Journal for Clinicians. 2011, 61: 69-90. 10.3322/caac.20107.

    Google Scholar 

  2. Normanno N, Di Maio M, De Maio E, De Luca A, de Matteis A, Giordano A, Perrone F: Mechanisms of endocrine resistance and novel therapeutic strategies in breast cancer. Endocr Relat Cancer. 2005, 12: 721-747. 10.1677/erc.1.00857.

    Article  CAS  PubMed  Google Scholar 

  3. Robyr D, Wolffe AP, Wahli W: Nuclear hormone receptor coregulators in action: diversity for shared tasks. Molecular endocrinology. 2000, 14: 329-347. 10.1210/me.14.3.329.

    Article  CAS  PubMed  Google Scholar 

  4. Heemers HV, Tindall DJ: Androgen receptor (AR) coregulators: a diversity of functions converging on and regulating the AR transcriptional complex. Endocr Rev. 2007, 28: 778-808. 10.1210/er.2007-0019.

    Article  CAS  PubMed  Google Scholar 

  5. Anzick SL: AIB1, a Steroid Receptor Coactivator Amplified in Breast and Ovarian Cancer. Science. 1997, 277: 965-968. 10.1126/science.277.5328.965.

    Article  CAS  PubMed  Google Scholar 

  6. Xu Y, Chen Q, Li W, Su X, Chen T, Liu Y, Zhao Y, Yu C: Overexpression of transcriptional coactivator AIB1 promotes hepatocellular carcinoma progression by enhancing cell proliferation and invasiveness. Oncogene. 2010, 29: 3386-3397. 10.1038/onc.2010.90.

    Article  CAS  PubMed  Google Scholar 

  7. Lahusen T, Henke RT, Kagan BL, Wellstein A, Riegel AT: The role and regulation of the nuclear receptor co-activator AIB1 in breast cancer. Breast Cancer Research and Treatment. 2009, 116: 225-237. 10.1007/s10549-009-0405-2.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  8. Gucalp A, Traina TA: Triple-negative breast cancer: role of the androgen receptor. Cancer J. 2010, 16: 62-65. 10.1097/PPO.0b013e3181ce4ae1.

    Article  CAS  PubMed  Google Scholar 

  9. Zhou XE, Suino-Powell KM, Li J, He Y, Mackeigan JP, Melcher K, Yong EL, Xu HE: Identification of SRC3/AIB1 as a preferred coactivator for hormone-activated androgen receptor. J Biol Chem. 2010, 285: 9161-9171. 10.1074/jbc.M109.085779.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM: REporting recommendations for tumour MARKer prognostic studies (REMARK). Br J Cancer. 2005, 93: 387-391. 10.1038/sj.bjc.6602678.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Chae BJ, Lee A, Bae JS, Song BJ, Jung SS: Expression of nuclear receptor DAX-1 and androgen receptor in human breast cancer. Journal of surgical oncology. 2011, 103: 768-772. 10.1002/jso.21861.

    Article  CAS  PubMed  Google Scholar 

  12. Henke RT, Haddad BR, Kim SE, Rone JD, Mani A, Jessup JM, Wellstein A, Maitra A, Riegel AT: Overexpression of the nuclear receptor coactivator AIB1 (SRC-3) during progression of pancreatic adenocarcinoma. Clin Cancer Res. 2004, 10: 6134-6142. 10.1158/1078-0432.CCR-04-0561.

    Article  CAS  PubMed  Google Scholar 

  13. Wolff AC, Hammond ME, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, Dowsett M, Fitzgibbons PL, Hanna WM, Langer A: American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. J Clin Oncol. 2007, 25: 118-145.

    Article  CAS  PubMed  Google Scholar 

  14. Glass CK, Rosenfeld MG: The coregulator exchange in transcriptional functions of nuclear receptors. Genes Dev. 2000, 14: 121-141.

    CAS  PubMed  Google Scholar 

  15. Brown K, Chen Y, Underhill TM, Mymryk JS, Torchia J: The coactivator p/CIP/SRC-3 facilitates retinoic acid receptor signaling via recruitment of GCN5. J Biol Chem. 2003, 278: 39402-39412. 10.1074/jbc.M307832200.

    Article  CAS  PubMed  Google Scholar 

  16. Torchia J, Rose DW, Inostroza J, Kamei Y, Westin S, Glass CK, Rosenfeld MG: The transcriptional co-activator p/CIP binds CBP and mediates nuclear-receptor function. Nature. 1997, 387: 677-684. 10.1038/42652.

    Article  CAS  PubMed  Google Scholar 

  17. Torres-Arzayus MI, Font de Mora J, Yuan J, Vazquez F, Bronson R, Rue M, Sellers WR, Brown M: High tumor incidence and activation of the PI3K/AKT pathway in transgenic mice define AIB1 as an oncogene. Cancer Cell. 2004, 6: 263-274. 10.1016/j.ccr.2004.06.027.

    Article  CAS  PubMed  Google Scholar 

  18. Bouras T, Southey MC, Venter DJ: Overexpression of the steroid receptor coactivator AIB1 in breast cancer correlates with the absence of estrogen and progesterone receptors and positivity for p53 and HER2/neu. Cancer Res. 2001, 61: 903-907.

    CAS  PubMed  Google Scholar 

  19. List HJ, Reiter R, Singh B, Wellstein A, Riegel AT: Expression of the nuclear coactivator AIB1 in normal and malignant breast tissue. Breast Cancer Res Treat. 2001, 68: 21-28. 10.1023/A:1017910924390.

    Article  CAS  PubMed  Google Scholar 

  20. Lauritsen KJ, List HJ, Reiter R, Wellstein A, Riegel AT: A role for TGF-beta in estrogen and retinoid mediated regulation of the nuclear receptor coactivator AIB1 in MCF-7 breast cancer cells. Oncogene. 2002, 21: 7147-7155. 10.1038/sj.onc.1205943.

    Article  CAS  PubMed  Google Scholar 

  21. Hossain A, Kuo MT, Saunders GF: Mir-17-5p regulates breast cancer cell proliferation by inhibiting translation of AIB1 mRNA. Mol Cell Biol. 2006, 26: 8191-8201. 10.1128/MCB.00242-06.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Lonard DM, O'Malley BW: SRC-3 transcription-coupled activation, degradation, and the ubiquitin clock: is there enough coactivator to go around in cells?. Sci Signal. 2008, 1: pe16-10.1126/stke.113pe16.

    Article  PubMed  Google Scholar 

  23. Zhao C, Yasui K, Lee CJ, Kurioka H, Hosokawa Y, Oka T, Inazawa J: Elevated expression levels of NCOA3, TOP1, and TFAP2C in breast tumors as predictors of poor prognosis. Cancer. 2003, 98: 18-23. 10.1002/cncr.11482.

    Article  CAS  PubMed  Google Scholar 

  24. Harigopal M, Heymann J, Ghosh S, Anagnostou V, Camp RL, Rimm DL: Estrogen receptor co-activator (AIB1) protein expression by automated quantitative analysis (AQUA) in a breast cancer tissue microarray and association with patient outcome. Breast Cancer Res Treat. 2009, 115: 77-85. 10.1007/s10549-008-0063-9.

    Article  CAS  PubMed  Google Scholar 

  25. Osborne CK, Bardou V, Hopp TA, Chamness GC, Hilsenbeck SG, Fuqua SA, Wong J, Allred DC, Clark GM, Schiff R: Role of the estrogen receptor coactivator AIB1 (SRC-3) and HER-2/neu in tamoxifen resistance in breast cancer. Journal of the National Cancer Institute. 2003, 95: 353-361. 10.1093/jnci/95.5.353.

    Article  CAS  PubMed  Google Scholar 

  26. Alkner S, Bendahl PO, Grabau D, Lovgren K, Stal O, Ryden L, Ferno M: AIB1 is a predictive factor for tamoxifen response in premenopausal women. Ann Oncol. 2010, 21: 238-244. 10.1093/annonc/mdp293.

    Article  CAS  PubMed  Google Scholar 

  27. Zou JX, Zhong Z, Shi XB, Tepper CG, deVere White RW, Kung HJ, Chen H: ACTR/AIB1/SRC-3 and androgen receptor control prostate cancer cell proliferation and tumor growth through direct control of cell cycle genes. Prostate. 2006, 66: 1474-1486. 10.1002/pros.20477.

    Article  CAS  PubMed  Google Scholar 

  28. Zheng FF, Wu RC, Smith CL, O'Malley BW: Rapid estrogen-induced phosphorylation of the SRC-3 coactivator occurs in an extranuclear complex containing estrogen receptor. Mol Cell Biol. 2005, 25: 8273-8284. 10.1128/MCB.25.18.8273-8284.2005.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  29. Conde I, Alfaro JM, Fraile B, Ruiz A, Paniagua R, Arenas MI: DAX-1 expression in human breast cancer: comparison with estrogen receptors ER-alpha, ER-beta and androgen receptor status. Breast Cancer Res. 2004, 6: R140-148. 10.1186/bcr766.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  30. Spears M, O S, Migliaccio I, Guiterrez C, Hilsenbeck S, Quintayo MA, Pedraza J, Munro AF, Thomas JS, Kerr GR, Jack WJ, Kunkler IH, Cameron DA, Chetty U, Bartlett JM: The p160 ER co-regulators predict outcome in ER negative breast cancer. Breast Cancer Res Treat. 2011

    Google Scholar 

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Authors and Affiliations

  1. Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, 505 Banpo-dong, Seocho-Gu, Seoul, 137-701, Korea

    Kyungji Lee, Ahwon Lee & Chang Suk Kang

  2. Department of Surgery, College of Medicine, The Catholic University of Korea, 505 Banpo-dong, Seocho-Gu, Seoul, 137-701, Korea

    Byung Joo Song

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Correspondence to Ahwon Lee.

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The authors declare that they have no competing interests.

Authors' contributions

AL and CSK conceived the study. KL performed the staining. BJS collected the cases and clinical information. KL and AL interpreted the staining results and performed the statistical analysis. KL performed the literature review and wrote the manuscript. AL and CSK supervised the experiments and manuscript writing. All authors read and approved the final manuscript.

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Lee, K., Lee, A., Song, B.J. et al. Expression of AIB1 protein as a prognostic factor in breast cancer. World J Surg Onc 9, 139 (2011). https://doi.org/10.1186/1477-7819-9-139

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World Journal of Surgical Oncology

ISSN: 1477-7819

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