Next Article in Journal / Special Issue
The Genetic Diversity and Evolution of HIV-1 Subtype B Epidemic in Puerto Rico
Previous Article in Journal / Special Issue
Local Health Departments’ Activities to Address Health Disparities and Inequities: Are We Moving in the Right Direction?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Protein Kinase CK2 Expression Predicts Relapse Survival in ERα Dependent Breast Cancer, and Modulates ERα Expression in Vitro

1
College of Pharmacy, Xavier University of Louisiana, 1 Drexel Dr, New Orleans, LA 70125, USA
2
Division of Basic Sciences, College of Pharmacy and Pharmaceutical Sciences, Florida Agricultural & Mechanical University, 1415 S. Martin L. King Jr. Blvd., Tallahassee, FL 32307
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2016, 13(1), 36; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13010036
Submission received: 15 August 2015 / Revised: 9 October 2015 / Accepted: 10 October 2015 / Published: 22 December 2015

Abstract

:
The heterotetrameric protein kinase CK2 has been associated with oncogenic transformation, and our previous studies have shown that it may affect estrogenic signaling. Here, we investigate the role of the protein kinase CK2 in regulating ERα (estrogen receptor α) signaling in breast cancer. We determined the correlation of CK2α expression with relapse free breast cancer patient survival utilizing Kaplan Meier Plotter (kmplot.com/analysis/) to mine breast cancer microarrays repositories. Patients were stratified according to ERα status, histological grade, and hormonal therapy. Luciferase reporter assays and flow cytometry were implemented to determine the impact of CK2 inhibition on ERE-mediated gene expression and expression of ERα protein. CK2α expression is associated with shorter relapse free survival among ERα (+) patients with grade 1 or 2 tumors, as well as among those patients receiving hormonal therapy. Biochemical inhibition of CK2 activity results in increased ER-transactivation as well as increased expression among ERα (+) and ERα (−) breast cancer cell lines. These findings suggest that CK2 may contribute to estrogen-independent cell proliferation and breast tumor progression, and may potentially serve as a biomarker and pharmacological target in breast cancer.

1. Introduction

Despite recent advances in detection and therapeutic intervention, breast cancer remains the second most common cause of cancer-related death among American women. Most breast cancers are ERα (+), making those patients eligible for treatment with hormonal therapy. However, as many as 60% of women progress to become resistant to hormonal therapies [1]. Furthermore, a minority of patients have ERα (−) disease, and are inherently resistant to hormonal therapies. In either case, patients are relegated to cytotoxic chemotherapy and are subject to the associated severe side effects. As such, it is imperative to determine the mechanisms by which patients develop estrogen resistance, as well as to develop more targeted therapies to reverse endocrine resistance in breast cancer.
Protein kinase CK2 is a pleiotropic, heterotetrameric serine kinase consisting of two regulatory β subunits, and 2 catalytic subunits, (α and α’) [2,3]. CK2 activity has been shown to be significantly elevated in cancerous versus normal tissues, including patient-matched colorectal and breast tissues [4]. As such, several studies have been initiated to identify drugs which selectively and potently inhibit CK2 activity [5]. Two such agents CIGB-300 (cyclic peptide) and silmitasertib (CX-4945) are currently being targeted in two clinical trials for the treatment of cervical cancer (CIGB-300), or multiple myeloma, cholangiosarcoma, and advanced solid tumors including breast (CX-4945) [6,7]. More recently, a large scale in vitro screening of the NIH/NCI chemical Diversity Set Library has identified 1,3-Dichloro-6-[(E)-((4-methoxyphenyl)imino)methyl] dibenzo(b,d) furan-2,7-diol as a novel potent, selective and cell permeable inhibitor of protein kinase CK2 [8]. Additionally, molecular modeling studies have led to the development of a series of dihydroxyindeno [1,2-b]indole derivatives which inhibit CK2 kinase activity at nanomloar concentrations [9]. These studies highlight the potential for development of pharmacological inhibitors of CK2 for cancer treatment.
A recent study by Ortega et al., showed that CK2α mRNA is overexpressed in cancerous versus normal tissue of the breast, lung, ovarian, prostate, renal, and colon, as well as others [10]. Another recent study has demonstrated that CK2α is statistically overexpressed in basal breast cancer as compared to either normal breast epithelium or the well-differentiated luminal a subtype [11]. In tumor microarray studies, CK2α was identified as a part of a 9-marker gene expression signature associated with increased metastatic risk among breast cancer patients [6]. Studies have shown that transgenic overexpression of CK2α in the rat mammary gland results in tumor development in 30% of animals [12]. Additionally, it was shown that 20 out of 21 independent gene expression microarrays tested, CK2α was overexpressed in breast carcinoma versus normal breast epithelium [10]. Together, these studies suggest that overexpression of CK2 may be causative in human breast oncogenesis. Interestingly, in vitro studies have shown that DMAT, the selective inhibitor of CK2, induces apoptosis in tamoxifen-resistant, but not wild-type MCF-7 breast cancer cell lines [13]. Our own previously published studies have shown that CK2 can phosphorylate human ERα at S282 and S559 both in vitro and in vivo, and that mutation of CK2 sites results in a moderate but significant increase in ERα transcriptional activity [14].
Where most findings have suggested that CK2 is a negative prognostic indicator in breast cancer, no studies to date have examined the intersection between ERα and CK2α signaling. Here, we mined publically available microarray repositories to ascertain the significance of CK2α expression to relapse free survival (RFS) based on ERα status, histological grade, and hormonal therapy. We investigated the impact of CK2 inhibition on ER-dependent transactivation in vitro, and subsequently of ER expression. Our findings suggest that CK2 is a key signaling component in the progression of ER (+) breast cancer to a more aggressive phenotype.

2. Materials and Methods

2.1. Kaplan Meier Survival Analysis

The application of KM plot has been described in detail previously [15,16]. Briefly, Kaplan Meier (KM) plots were attained using the KMPlotter web-based (kmplot.com/analysis) curator, which surveys public microarray repositories for relapse free and overall survival among patients with breast, lung, ovarian or gastric cancers. The KMplotter recognizes 54,675 individual Affymetrix probesets, and surveys expression data from 4142 breast cancer patients (as of 2014). Survival and gene expression data were derived from the GEO (Gene Expression Omnibus), TCGA (The Cancer Genome Atlas), and EGA (European Genome-phenome Atlas) databases. In our analysis, patients were differentiated based on ERα expression, histological tumor grade, or as recipients of hormonal therapy. In order to ascertain CK2α expression, Affymetrix probe 203575 was selected, which corresponds to both CK2α (CSNK2A1) and CK2α’ (CNK2A2). Populations were split by median CK2α expression and plots generated accordingly.

2.2. Cell Culture

T47D and MDA-MB-231 cells were obtained from the American Tissue Type Collection (ATTC). Stably transfected T47D-luciferase cells were a gift from the Xavier University of Louisiana RCMI Cell and Molecular Biology core facility. All cell lines were maintained in phenol red free RPMI 1640 media supplemented with 10% fetal bovine serum (FBS) and penicillin-streptomycin. Cells were sub-cultivated twice weekly.

2.3. Luciferase Reporter Assay

Stably transfected T47D-ERE-luciferase cells were cultured in phenol red free RPMI 1640 media supplemented with 10% charcoal-dextran treated FBS (Life Technologies, Grand Island, NY USA) for a minimum of 72 h. Subsequently, cells were incubated with TBCA (tetra-bromo-cinnamic acid EMD Millipore, Billerica, MA USA) and/or fulvestrant (Santa Cruz Biotechnologies, Dallas, TX, USA) for 24 h. Cells were then lysed and luciferase activity was assayed using Bright-Glo© (Promega Madison, WI, USA) detection system. Experiments were performed three times in triplicate per experimental repeat.

2.4. Flow Cytometric Detection of ERα

We detected ERα protein levels using flow cytometry as described previously [17]. T47D and MDA-MB-231 cells were cultured in phenol red free RPMI 1640 media supplemented with 10% charcoal-dextran treated FBS for a minimum of 72 h. Subsequently, cells were incubated with TBCA for 24 h and afterwards cells were collected by trypsinization and fixed in 10% formalin. The fixed cells were then blocked and permeabilized in a blocking buffer (phosphate buffered saline, 10% goat serum, 0.1% Nonidet P-40). Samples were then incubated in blocking buffer and anti-ERα antibody (HC-20, Santa Cruz Biotechnology Dallas, TX, USA) at 1:50 dilution and incubated overnight at 4 °C. Controls received no primary antibody (negative control). After 3 washes, all samples were incubated for 1 h with AlexaFluor 647 goat α rabbit secondary antibody (1:1000). Samples were analyzed on an Accuri C6 flow cytometer, and nonspecific staining was set with the negative control. The experiment was performed with a minimum of 3 repeats.

3. Results and Discussion

3.1. CK2α Overexpression is Associated with Decreased RFS in Patients with ERα (+) Breast Cancer

Previous studies have shown an overall decrease in RFS among patients with high expression of CK2α [16]. However, no studies have stratified patients according to ER status to determine if there are differences in patient survival among those with ERα (+) or ERα (−) tumors. We selected patient profiles based on ERα status, and ascertained RFS based on CK2α expression (below median = low, above median = high). We observed that high CK2α expression is associated with a moderate but significant increase in risk of relapse among ERα (+), but not ER (−) breast cancer patients (p = 0.019 and p = 0.15, respectively) (Figure 1). It is notable that even in ER (−) tumors, high CK2α expression trended toward shorter RFS, though this was not significant. These findings are in agreement with other findings showing that overall, CK2 is a negative prognostic indicator in cancer and that multiple mechanisms may be associated with its oncogenic potential.
Interestingly, a more specific effect can be observed when ER (+) patients are further stratified by histological grade. Among patients with grade 1 cancer, a greater than 2 fold increase in recurrence risk (HR 2.19, CI) was observed among those with high CK2α expression (Figure 2A). However, high CK2α expression shows less of a correlation with RFS in more advanced cancers, with a 45% increase in risk among patients with grade 2 cancers and no statistical difference among patients with grade 3 cancers (Figure 2B,C). This suggests that early in the etiology of ER (+) breast cancer, CK2α plays a significant role in disease progression. The gradual loss of this effect could be due to parallel oncogenic pathways being activated in which the influence of CK2 is less pronounced. For most patients with ER (+) breast cancer, hormonal therapy designed to abrogate estrogen dependent cell proliferation is implemented [18]. Since the patient population for which the greatest difference was observed were those with ER (+) disease, we sought to determine if CK2α expression levels correlated to survival rates of patients undergoing hormonal therapy. As such, we selected patients who had undergone hormonal therapy for breast cancer, and secondarily stratified the patients based on CK2α expression, as described previously. Significantly, patients with a lower CK2α expression enjoyed longer relapse-free survival than those patients with high CK2α expression, with 34% decrease in risk of recurrence (Figure 3). This supports our contention that CK2α contributes to the development of hormone resistance in ER (+) breast cancer.
Figure 1. CK2α overexpression is associated with decreased RFS in patients with ER (+) breast cancer. Using KMPlotter, we interrogated publically available microarray repositories for breast cancer to determine if CK2α expression was associated with different survival rates among ERα (+) and ERα (−) breast cancer patients. Hazard ratio (HR) and Logrank P values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red.
Figure 1. CK2α overexpression is associated with decreased RFS in patients with ER (+) breast cancer. Using KMPlotter, we interrogated publically available microarray repositories for breast cancer to determine if CK2α expression was associated with different survival rates among ERα (+) and ERα (−) breast cancer patients. Hazard ratio (HR) and Logrank P values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red.
Ijerph 13 00036 g001

3.2. Inhibition of CK2α Results in Increased ER Transactivation in Stably Transfected T47D-luciferase Cells

Our previous studies have shown that CK2α phosphorylated ERα at S282 and S559. Serine to alanine mutation of these sites results in a moderate increase in ERE driven gene expression, suggesting that CK2 has a repressive effect of ERα transcription activity [19]. Here, we investigated the ability of tetrabromocinnamic acid, a selective inhibitor of CK2 kinase activity, to impact transcriptional activity in T47D cells stably expressing an ERE-driven luciferase reporter [20]. After 24 h, TBCA treatment resulted in a significant increase in ERE-luciferase activity (Figure 4A). To determine if the induction of ER transcriptional activity was due to an effect on ERα as opposed to other components of the transcriptional machinery, we treated the cells with fulvestrant, a pure ERα antagonist that causes degradation of the ERα [21]. Fulvestrant inhibited TBCA-induced transcriptional activity, confirming that the observed effect of TBCA on luciferase activity was mediated through ERα (Figure 4B). These studies provide further evidence that CK2 has a negative regulatory effect on ER transcriptional activity, which might be a key adaptation for breast tumor progression in ER (+) disease.
Figure 2. CK2α expression is most strongly associated with shorter RFS in lower grade breast cancer. Km Plotter was used to stratify patient microarray data by histological grade. Hazard ratio (HR) and Logrank P values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red. (A) and (B), expression of CKα correlated with decreased relapse free survival patients with grade 1 and grade 2 cancer, respectively. (C) CK2α expression was not correlated in patients with grade 3 cancer.
Figure 2. CK2α expression is most strongly associated with shorter RFS in lower grade breast cancer. Km Plotter was used to stratify patient microarray data by histological grade. Hazard ratio (HR) and Logrank P values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red. (A) and (B), expression of CKα correlated with decreased relapse free survival patients with grade 1 and grade 2 cancer, respectively. (C) CK2α expression was not correlated in patients with grade 3 cancer.
Ijerph 13 00036 g002
Figure 3. The CK2α expression is predictive of relapse in patients on hormonal therapy. In Km Plotter, microarray data was selected from patients that had received hormonal therapy during treatment for breast cancer. The data was then stratified according to CK2α expression. Hazard ratio (HR) and Logrank p values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red.
Figure 3. The CK2α expression is predictive of relapse in patients on hormonal therapy. In Km Plotter, microarray data was selected from patients that had received hormonal therapy during treatment for breast cancer. The data was then stratified according to CK2α expression. Hazard ratio (HR) and Logrank p values are shown. Low expression of CK2α expression (below median) is noted in black, and the high CK2α expression (above median) is noted in red.
Ijerph 13 00036 g003
Figure 4. CK2 inhibition results in increased ERα-dependent ERE-transcriptional activity. T47D cells stably transfected with an ERE-luciferase were incubated in the presence of (A) 2.5 or 25 μM TBCA or (B) fulvestrant (1 μM) and/or TBCA (25 μM) for 24 h. Luciferase activity was measured was ascertained after 24 h. Each study was performed for at least 3 experimental repeats.
Figure 4. CK2 inhibition results in increased ERα-dependent ERE-transcriptional activity. T47D cells stably transfected with an ERE-luciferase were incubated in the presence of (A) 2.5 or 25 μM TBCA or (B) fulvestrant (1 μM) and/or TBCA (25 μM) for 24 h. Luciferase activity was measured was ascertained after 24 h. Each study was performed for at least 3 experimental repeats.
Ijerph 13 00036 g004

3.3. TBCA Causes Increased Expression of ERα in ERα (+) Breast Cancer Cells, As Well As a Sub-Population of ERα (−) Breast Cancer Cells

One of the most significant prognostic indicators in breast cancer is the expression of ERα. It is our contention that ERα expression and function in breast cancer cells is at least in part related to CK2 expression. In order to determine the mechanism by which CK2 might induce ER transcriptional activity, we studied the effects of CK2 inhibition on ERα expression using fluorescence immunostaining and flow cytometry. In T47D cells, we observed a substantial 58% increase in ERα expression upon treatment with TBCA (Figure 5A). Since T47D cells express a significant amount of ERα under basal conditions, we investigated whether if MDA-MB-231 cells, which are typically regarded as ERα (−), could be coerced to express ERα by inhibiting CK2. We observed that a small subpopulation of MDA-MD-231 cells expressed ERα under basal condition, and that treatment with TBCA resulted in a greater percentage of cells expressing ERα (Figure 4B). This culminated as an increased ERα signal of 37% in the total population. This suggests that CK2 may be in part responsible for cell survival/proliferation in the absence of ERα, which could in turn lead to insensitivity to hormonal therapy in breast cancer patients.
Figure 5. CK2 inhibition with TBCA induces ERα expression in ER (+) T47D and ER (−) MDA-MB-231 breast cancer cells. (A) T47D and (B) MDA-MB-231 cell were incubated for 24 h in the absence (Con) or presence (TBCA) of 25 μM TBCA. Cells were collected and stained with αERα antibody and fluorescent secondary antibody. Fluorescent staining was assessed by flow cytometry. Background staining was established using secondary antibody alone. Percentage values represent the ratiometric increase in ERα associated fluorescence in the presence of TBCA.
Figure 5. CK2 inhibition with TBCA induces ERα expression in ER (+) T47D and ER (−) MDA-MB-231 breast cancer cells. (A) T47D and (B) MDA-MB-231 cell were incubated for 24 h in the absence (Con) or presence (TBCA) of 25 μM TBCA. Cells were collected and stained with αERα antibody and fluorescent secondary antibody. Fluorescent staining was assessed by flow cytometry. Background staining was established using secondary antibody alone. Percentage values represent the ratiometric increase in ERα associated fluorescence in the presence of TBCA.
Ijerph 13 00036 g005

4. Conclusions

Data mining of publically available gene expression microarrays showed that patients with high expression of CKα may be at increased risk of relapse, despite being diagnosed with a lower grade cancer. Those patients with high CK2α expression may also be at increased risk of relapse while on hormonal therapy. In vitro, we have shown that pharmacological inhibition CK2 activity results in an increase in ERE-driven gene expression as well as an increase ERα protein expression. Significantly, the latter effect was observe not only in ER (+) cells, but in ER (−) breast cancer cell lines which suggest that CK2 inhibition might be a therapeutic strategy to reverse or prevent endocrine resistance on breast cancer. The studies outlined here show that CK2α is a key regulator of ER activity in breast cancer both in vivo and in vitro. Our future studies will investigate the mechanisms by which CK2 promotes ERα independent cell growth and expression of endogenous ERα driven genes.

Acknowledgments

This work was supported in part by NIH grants 1SC3GM113804 01 (CCW) and 1SC2GM099599-01A1 (SLT). This publication was also made possible by funding from the Louisiana Cancer Research Consortium and the NIH-RCMI grant 8G12MD007595-04 from the National Institute on Minority Health and Health Disparities. The contents are solely the responsibility of the authors and do not necessarily represent the official views of the Louisiana Cancer Research Consortium or the NIH. This project was also supported by funds from the Bureau of Health Professions (BHPr), Health Resources and Services Administration (HRSA), Department of Health and Human Services (DHHS) under grant number D34HP00006 (Xavier University of Louisiana Center of Excellence).

Author Contributions

CCW was responsible for conceptualizing the study and writing this manuscript. MDW performed survival analysis and flow cytometry studies. Luciferase reporter assay were performed by TN and PPC. SLT was responsible for experimental design and data analysis.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kurebayashi, J. Endocrine-resistant breast cancer: Underlying mechanisms and strategies for overcoming resistance. Breast Cancer 2003, 10, 112–119. [Google Scholar] [CrossRef] [PubMed]
  2. Issinger, O.G. Casein kinases: Pleiotropic mediators of cellular regulation. Pharmacol. Ther. 1993, 59, 1–30. [Google Scholar] [CrossRef]
  3. Allende, J.E.; Allende, C.C. Protein kinases. 4. Protein kinase CK2: An enzyme with multiple substrates and a puzzling regulation. FASEB J. 1995, 9, 313–323. [Google Scholar] [PubMed]
  4. Munstermann, U.; Fritz, G.; Seitz, G.; Lu, Y.P.; Schneider, H.R.; Issinger, O.G. Casein kinase II is elevated in solid human tumours and rapidly proliferating non-neoplastic tissue. Eur. J. Biochem. 1990, 189, 251–257. [Google Scholar] [CrossRef] [PubMed]
  5. Sarno, S.; Papinutto, E.; Franchin, C.; Bain, J.; Elliott, M.; Meggio, F.; Kazimierczuk, Z.; Orzeszko, A.; Zanotti, G.; Battistutta, R.; et al. ATP site-directed inhibitors of protein kinase CK2: An update. Curr. Top Med. Chem. 2011, 11, 1340–1351. [Google Scholar] [CrossRef] [PubMed]
  6. Sarduy, M.R.; García, I.; Coca, M.A.; Perera, A.; Torres, L.A.; Valenzuela, C.M.; Baladrón, I.; Solares, M.; Reyes, V.; Hernández, I.; et al. CERVIFARM-300-II Study Group Optimizing CIGB-300 intraregional delivery in locally advanced cervical cancer. Br. J. Cancer 2015, 112, 1636–1643. [Google Scholar] [CrossRef] [PubMed]
  7. Kim, J.; Kim, S.H. Drug ability of the CK2 inhibitor CX-4945 as an anticancer drug and beyond. Arch. Pharm. Res. 2012, 35, 1293–1296. [Google Scholar] [CrossRef] [PubMed]
  8. Guerra, B.; Hochscherf, J.; Jensen, N.B.; Issinger, O.-G. Identification of a novel potent, selective and cell permeable inhibitor of protein kinase CK2 from the NIH/NCI Diversity Set Library. Mol. Cell. Biochem. 2015, 406, 151–161. [Google Scholar] [CrossRef] [PubMed]
  9. Alchab, F.; Ettouati, L.; Bouaziz, Z.; Bollacke, A.; Delcros, J.-G.; Gertzen, C.G.W.; Gohlke, H.; Pinaud, N.; Marchivie, M.; Guillon, J.; et al. Synthesis, Biological Evaluation and Molecular Modeling of Substituted Indeno [1,2-b]indoles as Inhibitors of Human Protein Kinase CK2. Pharmaceuticals 2015, 8, 279–302. [Google Scholar] [CrossRef] [PubMed]
  10. Ortega, C.E.; Seidner, Y.; Dominguez, I. Mining CK2 in cancer. PLoS ONE 2014, 9, e115609. [Google Scholar] [CrossRef] [PubMed]
  11. Kren, B.T.; Unger, G.M.; Abedin, M.J.; Vogel, R.I.; Henzler, C.M.; Ahmed, K.; Trembley, J.H. Preclinical evaluation of cyclin dependent kinase 11 and casein kinase 2 survival kinases as RNA interference targets for triple negative breast cancer therapy. Breast Cancer Res. 2015, 17, 19. [Google Scholar] [CrossRef] [PubMed]
  12. Landesman-Bollag, E.; Romieu-Mourez, R.; Song, D.H.; Sonenshein, G.E.; Cardiff, R.D.; Seldin, D.C. Protein kinase CK2 in mammary gland tumorigenesis. Oncogene 2001, 20, 3247–3257. [Google Scholar] [CrossRef] [PubMed]
  13. Yde, C.W.; Frogne, T.; Lykkesfeldt, A.E.; Fichtner, I.; Issinger, O.G.; Stenvang, J. Induction of cell death in antiestrogen resistant human breast cancer cells by the protein kinase CK2 inhibitor DMAT. Cancer Lett. 2007, 256, 229–237. [Google Scholar] [CrossRef] [PubMed]
  14. Williams, C.C.; Basu, A.; El-Gharbawy, A.; Carrier, L.M.; Smith, C.L.; Rowan, B.G. Identification of four novel phosphorylation sites in estrogen receptor alpha: Impact on receptor-dependent gene expression and phosphorylation by protein kinase CK2. BMC Biochem. 2009, 10, 36. [Google Scholar] [CrossRef] [PubMed]
  15. Györffy, B.; Lanczky, A.; Eklund, A.C.; Denkert, C.; Budczies, J.; Li, Q.; Szallasi, Z. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1809 patients. Breast Cancer Res. Treat. 2010, 123, 725–731. [Google Scholar] [CrossRef] [PubMed]
  16. Gyorffy, B.; Lánczky, A.; Szállási, Z. Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients. Endocr. Relat. Cancer 2012, 19, 197–208. [Google Scholar] [CrossRef] [PubMed]
  17. Tilghman, S.L.; Townley, I.; Zhong, Q.; Carriere, P.P.; Zou, J.; Llopis, S.D.; Preyan, L.C.; Williams, C.C.; Skripnikova, E.; Bratton, M.R.; et al. Proteomic signatures of acquired letrozole resistance in breast cancer: Suppressed estrogen signaling and increased cell motility and invasiveness. Mol. Cell Proteomics 2013. [Google Scholar] [CrossRef] [PubMed]
  18. Al-Dhaheri, M.; Rowan, B. Application of phosphorylation site-specific antibodies to measure nuclear receptor signaling: Characterization of novel phosphoantibodies for estrogen receptor A. Nuclear Recept. Signal. 2006. [Google Scholar] [CrossRef] [PubMed]
  19. Williams, C.C.; Allison, J.G.; Vidal, G.A.; Burow, M.E.; Beckman, B.S.; Marrero, L.; Jones, F.E. The ERBB4/HER4 receptor tyrosine kinase regulates gene expression by functioning as a STAT5A nuclear chaperone. J. Cell Biol. 2004, 167, 469–478. [Google Scholar] [CrossRef] [PubMed]
  20. Pagano, M.A.; Poletto, G.; di Maira, G.; Cozza, G.; Ruzzene, M.; Sarno, S.; Bain, J.; Elliott, M.; Moro, S.; Zagotto, G.; et al. Tetrabromocinnamic acid (TBCA) and related compounds represent a new class of specific protein kinase CK2 inhibitors. Chembiochem 2007, 8, 129–139. [Google Scholar] [CrossRef] [PubMed]
  21. Robertson, J.F. Faslodex (ICI 182, 780), a novel estrogen receptor downregulator—Future possibilities in breast cancer. J. Steroid. Biochem. Mol. Biol. 2001, 79, 209–212. [Google Scholar] [CrossRef]

Share and Cite

MDPI and ACS Style

Williams, M.D.; Nguyen, T.; Carriere, P.P.; Tilghman, S.L.; Williams, C. Protein Kinase CK2 Expression Predicts Relapse Survival in ERα Dependent Breast Cancer, and Modulates ERα Expression in Vitro. Int. J. Environ. Res. Public Health 2016, 13, 36. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13010036

AMA Style

Williams MD, Nguyen T, Carriere PP, Tilghman SL, Williams C. Protein Kinase CK2 Expression Predicts Relapse Survival in ERα Dependent Breast Cancer, and Modulates ERα Expression in Vitro. International Journal of Environmental Research and Public Health. 2016; 13(1):36. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13010036

Chicago/Turabian Style

Williams, Marlon D., Thu Nguyen, Patrick P. Carriere, Syreeta L. Tilghman, and Christopher Williams. 2016. "Protein Kinase CK2 Expression Predicts Relapse Survival in ERα Dependent Breast Cancer, and Modulates ERα Expression in Vitro" International Journal of Environmental Research and Public Health 13, no. 1: 36. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13010036

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop