Abstract
Background
Secreted frizzled-related proteins (SFRPs) are a family of proteins that block the Wnt signaling pathway and loss of Sfrp1 expression is observed in breast cancer. The molecular mechanisms by which obesity contributes to breast tumorigenesis are not well defined, but involve increased inflammation. Mice deficient in Sfrp1 show enhanced mammary gland inflammation in response to diet induced obesity (DIO). Furthermore, mammary glands from Sfrp1 −/− mice exhibit increased Wnt signaling, decreased cell death responses, and excessive hyper branching. The work described here was initiated to investigate whether obesity exacerbates the aforementioned pathways, as they each play a key roles in the development of breast cancer.
Findings
Wnt signaling is significantly affected by DIO and Sfrp1 −/− loss as revealed by analysis of Myc mRNA expression and active β-catenin protein expression. Furthermore, Sfrp1 −/− mice fed a high fat diet (HFD) exhibit an increase in mammary cell proliferation. The death response is also impaired in the mammary gland of Sfrp1 −/− mice fed a normal diet (ND) as well as a HFD. In response to γ-irradiation, mammary glands from Sfrp1−/− mice express significantly less Bax and Bbc3 mRNA, caspase-3 positive cells, and p53 protein. The expression of Wnt4 and Tnfs11 are critical for normal progesterone mediated mammary gland development and in response to obesity, Sfrp1−/− mice express significantly more Wnt4 and Tnfs11 mRNA expression. Evaluation of progesterone receptor (PR) expression showed that DIO increases the number of PR positive cells.
Conclusions
Our data indicate that the expression of Sfrp1 is a critical factor required for maintaining appropriate cellular homeostasis in response to the onset of obesity.
Keywords: Sfrp1, Obesity, Breast cancer, Wnt signaling, Apoptosis, p53, RANKL
Findings
Obesity has increased with an alarming rate in the United States. It is estimated that by 2015, 75% of the population will be either overweight or obese. This fact has elicited a serious public health concern since obesity increases the incidence, progression, and mortality from breast cancer [1]. Cancer results from cellular mutations that enhance proliferation and decrease programmed cell death [2]. Our earlier published studies focused on the role a tumor suppressor gene, secreted frizzled related protein 1 (Sfrp1), plays in mammary gland development and cell death. We revealed that loss of Sfrp1 alters the growth and behavior of mammary epithelial in such a manner that they exhibit characteristics of breast cancer cells [3,4]. Moreover, Sfrp1 plays a critical role in mediating the mammary epithelial cellular apoptotic response to DNA damage in vivo[5]. Recently, we found that mice deficient in Sfrp1 (Sfrp1−/−) fed a high fat diet (HFD) exhibit a significant increase in body mass, body fat percentage, as well as adipocyte size and have elevated fasting glucose levels and impaired glucose clearance abilities [6]. Additionally, the inflammatory state of mammary glands from Sfrp1−/− mice fed a HFD is elevated as revealed by increased macrophage infiltration and pro-inflammatory cytokine expression [6] Considering the connection between obesity and inflammation, loss of Sfrp1 may be a critical early event in obesity associated breast cancer initiation.
The Wnt family of secreted proteins is implicated in the regulation of cell fate during development, as well as in cell proliferation, morphology, and migration [7]. The best characterized Wnt pathway is the canonical Wnt/β-catenin pathway whereby Wnt signaling leads to the stabilization of β-catenin and activation of β-catenin-responsive gene expression. Sfrp1 antagonizes Wnt signaling by binding to Wnt ligands and preventing ligand-receptor interactions and signal transduction [8]. Indeed, loss of SFRP1 increases Wnt signaling in mammary epithelial cells [3], a deleterious effect considering that inappropriate activation of the Wnt/β-catenin pathway contributes to the development of breast cancer [7]. To determine whether increased adiposity exacerbates the effect of Sfrp1 loss on Wnt/β-catenin signaling, we measured the mRNA expression of the β-catenin target gene, Myc, in control and Sfrp1 −/− mice [9] (Additional file 1: Figure S1) fed a normal diet (ND) and HFD. A two-way ANOVA revealed that Myc was significantly affected in response to Sfrp1 loss on the HFD (F1,17 = 5.17; P < 0.05; F1,17 = 5.23; P < 0.05). In addition, there was a significant interaction between these two main effects (F1,17 = 7.34; P < 0.05) (Figure 1A). These findings are consistent with our recently published results demonstrating that Axin2, a hallmark Wnt target gene, is significantly elevated in the mammary gland of Sfrp1 −/− mice fed a HFD [6]. To investigate whether Wnt signaling is activated in the absence of Sfrp1, we employed western blot analysis with a non-phospho (active) β-catenin antibody (Figure 1B, upper panel). Densitometry measurements revealed that the active form of β-catenin was significantly upregulated in response to Sfrp1 loss (F1,10 = 8.50; P < 0.05) as well as the HFD (F1,10 = 5.94; P < 0.05), but there was no interaction between these two main effects (F1,10 = 1.15; P > 0.05) (Figure 1B). We show that in response to DIO, β-catenin activity was significantly increased, but the absence of Sfrp1 did not further enhance the expression of active β-catenin. These data may be partially explained by published findings and our previous results which demonstrate that adiposity increases the expression of other Wnt signaling antagonists, including Sfrp5, and thus may act to diminish the effect of Sfrp1 loss on β-catenin activity [10,11]. Given the role Wnt/β-catenin plays in cellular proliferation, mice were injected with BrdU to evaluate the effect of Sfrp1 loss and diet induced obesity (DIO) on proliferation. We reveal that the percentage of BrdU positive epithelial cells was significantly increased in response to Sfrp1 loss (F1,18 = 7.02; P < 0.05) as well as the HFD (F1,18 = 5.10; P < 0.05), but there was no interaction between these two main effects (F1,18 = 1.13; P > 0.05) (Figure 1C). Although both DIO and Sfrp1 loss exhibited effects on their own that could participate in an increased risk for cancer, the expression of Myc was enhanced by the two main effects together suggesting that a HFD and Sfrp1 loss, through methylation or mutation, could drive the expression of Myc to very high levels and thus work together to promote cancer risk. Thus, in the context of obesity, Sfrp1 expression is especially important in preventing aberrant Wnt signaling.
Sfrp1 downregulation leads to a resistance to anoikis (apoptosis triggered by loss of attachment) [3]. Resistance to death triggers, due to mutations or loss of attachment, is an important capability for metastasis to occur by allowing cellular survival until colonization in a distant location. Sfrp1 has been shown to induce apoptosis in numerous tissues [3,12-15] and loss of Sfrp1 significantly impacts apoptotic related gene expression as well as activity [5] suggesting a causative role for reduced Sfrp1 in premalignant breast changes leading to tumor progression. Given that loss of Sfrp1 −/− mice are more resistant to γ-irradiation induced cell death [5], we exposed control and Sfrp1 −/− mice fed a ND and a HFD to 5Gy whole body irradiation to assess whether loss of Sfrp1 in our DIO model inhibits death responses. We first measured the expression of Bax, a major mediator of pro-apoptotic activity in mammary epithelial cells. Real-time PCR analysis demonstrated that that the expression of Bax mRNA was significantly affected by Sfrp1 loss (F1,7 = 9.03; P < 0.05) and the HFD (F1,7 = 6.76; P < 0.05) and there was also an interaction between these two main effects (F1,7 = 4.83; P < 0.05) (Figure 2A). Additionally, we assessed the expression of Bbc3 (aka PUMA), a key p53 transcriptional target [16]. Our data show that Bbc3 is significantly repressed in response to Sfrp1 loss (F1,7 = 6.1; P < 0.05) as well as the HFD (F1,7 = 5.57; P < 0.05), but there was no interaction between these two main effects (F1,7 = 1.41; P > 0.05) (Figure 2A). Caspase-3 is a key intracellular effector of apoptosis by cleaving critical protein substrates required for apoptotic cell death [17]. Immunohistochemical analysis of the cleaved (activated) form of caspase-3 revealed that the immune cells within the lymph node of both genotypes underwent apoptosis serving as an excellent internal positive control for our assay (Figure 2B, left panel). The total number of cleaved-caspase-3 positive luminal epithelial cells were quantified and our data reveal that there was a significant reduction in caspase-3 positive cells of in response to Sfrp1 loss (F1,7 = 6.37; P < 0.05) as well as the HFD (F1,7 = 5.81; P < 0.05), but there was no interaction between these two main effects (F1,7 = 2.99; P > 0.05) (Figure 2B, right panel). Finally, we wished to look at the effect DIO in Sfrp1 −/− mice on p53 expression. Consistent with our earlier findings, there are less intensely stained nuclei in Sfrp1 −/− mice compared to control mice fed a ND. Additionally, p53 expression is diminished in animals fed a HFD independent of geneotype (Figure 2C). Although work confirms previous studies which demonstrate that obesity inhibits cell death responses [18,19], these novel findings are the first to demonstrate that the DIO diminishes mammary epithelial cell death and that the expression of p53 is repressed by DIO in the mammary gland. These data may be partially explained by the elevated insulin observed levels in these animals [6] as insulin has been shown to reduce apoptosis in mammary epithelial cells in vitro[20]. Taken together, our results suggest a possible mechanism by which obesity promotes mammary tumorigenesis.
We previously showed that Sfrp1 −/− mice exhibit a higher density of ducts with distinct alveoli present throughout the mammary gland with focal ductal epithelial hyperplasia [4]. These data are fully consistent with previous studies showing that upregulation of the Wnt/β-catenin pathway and activation of β-catenin in mice induces precocious lobulo-alveolar hyperplasia [21,22]. Constitutive expression of Wnt4 in the virgin mammary gland also induces structures with a morphology similar to that seen in pregnancy [23] and Wnt4 is significantly up-regulated in pubescent Sfrp1 −/− mice. We employed real-time PCR analysis to examine the effects of Wnt4 in Sfrp1 −/− mice in response to DIO and a two-way ANOVA revealed that Wnt4 is significantly increased in response Sfrp1 loss (F1,19 = 6.44; P < 0.05) as well as the HFD (F11,19 = 4.34; P < 0.05), but there was no interaction between these two main effects (F1,19 = 1.65; P > 0.05) (Figure 3A). The receptor of activated NF-κB ligand (Tnfs11 aka RANKL) is a critical downstream target of Wnt4 [24,25]. Transgenic overexpression of Tnfs11 into the murine mammary gland elicits ductal side branching, alveologenesis, and mammary hyperplasia [26,27]. Furthermore, SFRP1 has been shown to bind to and inhibit Tnsf11 mediated action [28], and loss of Sfrp1 increases the expression of Tnfs11 during puberty. Here we show that Tnfs11 was significantly increased in response to Sfrp1 loss (F1,18 = 10.7; P < 0.05) as well as the HFD (F11,18 = 13.7; P < 0.05), but there was no interaction between these two main effects (F1,19 = 1.65; P > 0.05) (Figure 3A). Since Wnt4 and Tnfs11 are downstream effectors of progesterone signaling [29], we evaluated progesterone receptor (PR) expression in mammary ducts. Consistent with the literature, immunohistochemical analysis of PR expression illustrated that DIO increases the percentage of PR expressing cells (Figure 3B, left panel). The total number of PR positive luminal epithelial cells were quantified and a two-way ANOVA confirmed that there was no difference in the percentage PR expressing cells response to Sfrp1 loss (F1,19 = 0.913; P > 0.05), but the HFD significantly increased PR expression (F1,19 = 5.55; P < 0.05), although there was no interaction between these two main effects (F1,7 = 0.8253; P > 0.05) (Figure 3B, right panel). Thus, the DIO-induced increase in PR expression may exacerbate the expression of Wnt4 and Tnsf11 in Sfrp1 −/− mice. The expression of Sfrp1 is critical for maintaining proper mammary gland development and considering that the deleterious effects of Sfrp1 depletion are exacerbated in response to DIO, loss of Sfrp1 in the context of obesity may be a critical event in cancer initiation. Additionally, the increased adiposity and decreased death response observed in Sfrp1 −/− mice may lead to increased breast cancer susceptibility. Future studies are aimed at elucidating the molecular mechanisms by which obesity and Sfrp1 downregulation affect tumorigenesis.
Materials and methods
Animals
This study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. The protocol was approved by the Baystate Medical Center Institutional Animal Care and Use Committee (Permit Number: 283237). Female129/C57Blk6 control mice (n = 20) and 129/C57Blk6 Sfrp1-/- mice (n = 20) were individually housed in plastic cages with food and water provided continuously, and maintained on a 12:12 light cycle. Mice (n = 10/genotype) were placed on either a normal diet [(ND) Harlan Teklad global 18% protein rodent diet (#2018) containing 2.8% fat, 18.6% protein] or placed on a high fat diet [(HFD) Bio-Serv (#F1850) containing 36.0% fat, 36.2% carbohydrate, and 20.5% protein] starting at 10 weeks of age for 12 weeks. Mice were injected 70 μg/g body weight of 5-bromo-2-deoxyuridine (BrdU; Sigma, St Louis, MO) and the glands will be harvested 24 hours later. A select number of mice from each treatment group (n = 3) were subjected to 5 Gy of whole body γ-irradiation to induce DNA damage and mammary glands were harvested 6 hours later. Animals were euthanized by CO2 followed by cervical dislocation and bled by cardiac puncture. The 3rd and 4th mammary glands were fixed in buffered formalin and 5th inguinal glands were flash frozen.
Genotyping
Tail DNA was obtained from control (Sfrp1 +/+ ), heterozygous ( Sfrp1 -/+ ), and homozygouse knockout (Sfrp1 -/- ) mice as well as breeding pairs used to generate mice for our study as described previously [9]. PCR amplification was carried out using the Typeit Mutation Detect PCR Kit according to the manufacturer’s instructions (QIAGEN, Valencia, CA). Primmer sequences used in the reaction were as follows: SacII forward, 5′-GATTGGTTAACTGCGCGGCTG-3′; SacII reverse, 5′-GACTGGAAGCTCACGTAGTCG -3′; LacZ forward, 5′-TTCACTGGCCGTCGTTTTACAACGTC-3′; LacZ reverse, 5′-TTCACTGGCCGTCGTTTTACAACGTC-3′. SacII primers predicted to amplify 510 bp wild-type allele and LacZ primers predicted to amplify 364 LacZ target used in the generation of Sfrp1 knockout mice. The conditions for the target DNA amplification were performed as follows: 1 cycle of 95°C for 15 min; 40 cycles each of 95°C for 30 s, 54.7°C for 1 min, and 72°C for 30 s; and 72°C for 10 min.
RNA isolation and real-time PCR analysis
Total RNA was extracted from the 5th inguinal mammary glands using an acid-phenol extraction procedure according to the manufacturer’s instructions (Trizol, Invitrogen, Carlsbad, CA). Relative expression levels of mRNA was determined by quantitative real-time PCR using the Mx3005P™ real-time PCR system (Stratagene, La Jolla, CA) and all values were normalized to the amplification of β-Actin. PCR primers used for for Sfrp1 were as follows: Sfrp1 forward, 5′-CACAACGTGGGCTACAAGAA -3′; Sfrp1 reverse, 5′- TCACCTCTGCCATGGTCT-3′. All other PCR primer sequences have been described previously [3-5]. The assays were performed using the 1-Step Brilliant® SYBRIII® Green QRT-PCR Master Mix Kit (Stratagene) containing 200 nM forward primer, 200 nM reverse primer, and 100 ng total RNA. The conditions for cDNA synthesis and target mRNA amplification were performed as follows: 1 cycle of 50°C for 30 min; 1 cycle of 95°C for 10 min; and 35 cycles each of 95°C for 30 s, 55°C for 1 min, and 72°C for 30 s.
Western blot analysis
The 5th inguinal mammary glands were homogenized in cold lysis buffer [50 mM Tris-HCl, 150 mM NaCl, 100 mM NaF, 10 mM MgCl2, 0.5% NP40, protease inhibitor cocktail, and phosphatase inhibitor I and II (Sigma)]. The lysates were passed 4 times through a 26 gauge syringe, kept on ice for 30 minutes, and then centrifuged for 20 minutes at 12,000 rpms at 4°C. The supernatant was transferred to a new tube and the protein was quantified utilizing the BCA™ Protein Assay Kit (Pierce, Rockford, IL). A total of 35 μg of protein was run on a 10% SDS-Page gel and transferred to a PVDF membrane. The membrane was blocked for 45 minutes with 5% milk in tris-buffered saline containing 0.05% Tween-20 (TBS-T). The primary antibodies used in this study were as follows: Rabbit non-phospho (Active) β-catenin (Ser33/37/Thr41) (D13A1) 1:1000 (Cell Signaling Technology, Danvers, MA); Rabbit β-actin 1:2000 (Abcam, Cambridge, MA. The primary antibodies were incubated over overnight at 4°C and the secondary antibody [goat anti-rabbit IgG-HRP 1:5000 (Santa Cruz Biotechnology, Dallas, TX] was incubated for 45 minutes at room temperature. The blot was washed and developed using a Western Blot Luminol Reagent (Santa Cruz Biotechnology) and imaged with a Synopics 4.2 MP camera and G:Box Chemi-XT4 GENESys software (SYNGENE, Frederick, MD). Band density was quantified with Image J software).
Immunohistochemistry
Immunohistochemistry (IHC) was performed on a DakoCytomation autostainer using the Envision HRP Detection system (Dako, Carpinteria, CA). Each mammary tissue block was sectioned at 4 μm on a graded slide, deparaffinized in xylene, rehydrated in graded ethanols, and rinsed in Tris-phosphate-buffered saline (TBS). Heat induced antigen retrieval was performed in a microwave at 98°C in 0.01 M citrate buffer. After cooling for 20 minutes, sections were rinsed in TBS and subjected to the following primary antibodies: Rat monoclonal anti-BrdU 1:100, (Abcam); Rabbit polyclonal anti-Cleaved Caspase-3 (Asp 175) 1:100 (Cell Signaling); Rabbit polyclonal anti-p53 antibody (CM5) 1:1000 (Leica, Wetzlar, Germany); Rabbit polyclonal anti-PR (C-19) 1:100, (Santa Cruz Technologies) for 45 minutes. Immunoreactivity was visualized by incubation with chromogen diaminobenzidine (DAB) for 5 minutes. Tissue sections were counterstained with hematoxylin, dehydrated through graded ethanols and xylene, and cover-slipped. Images were captured with an Olympus BX41 light microscope using (SPOT™Imaging Solutions, Detroit, MI).
Statistical analysis
Results were analyzed using a two-way ANOVA with Sfrp1 loss and HFD treatment as the main effects unless otherwise stated. Post hoc tests, where appropriate, were performed by Bonferroni’s t test. Bonferroni’s t test uses the mean square error from the ANOVA table as a point estimate of the pooled variance (Graphpad Prism, San Diego, CA). Grubb’s test was used on all data to identify statistical outliers (http://www.graphpad.com/quickcalcs). Statistical outliers were identified in some data sets, but the overall results were not altered by omission. A few samples were lost during processes; therefore, there are some unequal sample sizes.
Abbreviations
Sfrp1: Secreted frizzled related protein 1; DIO: Diet induced obesity; ND: Normal diet; HFD: High fat diet; BrdU: 5-bromo-2-deoxyuridine; Bax: Bcl2 Associated X protein; PUMA: p53 upregulated modulator of apoptosis; Bbc3: Bcl2 bding component 3; Caspase: Cysteine aspartic acid specific protease; RANKL: Receptor of activated NF-κB ligand; Tnfs11: Tumor necrosis factor ligand superfamily member 11; PR: Progesterone receptor.
Competing interests
The authors do not have any financial or personal relationships with other people or organizations that could inappropriately influence the work described in this manuscript.
Authors’ contributions
KG drafted the manuscript and performed all of the described experiments with the exception of the immunohistochemistry. AS provided our laboratory with the Sfrp −/− mice. LB and EH contributed to the mouse work. JW and JS processed the tissues and carried out the immunohistochemistry. SS participated in the study design, edited the manuscript, and gave final approval of the version to be published. All authors read and approved the final manuscript.
Supplementary Material
Contributor Information
Kelly J Gauger, Email: kelly.gauger@bhs.org.
Lotfi M Bassa, Email: lotfibassa3@gmail.com.
Elizabeth M Henchey, Email: elizabeth.henchey@baystatehealth.ofg.
Josephine Wyman, Email: josi.wyman@gmail.com.
Jennifer Ser-Dolansky, Email: jen.ser.dolansky@gmail.com.
Akihiko Shimono, Email: nmias@nus.edu.sg.
Sallie S Schneider, Email: sallie.schneider@baystatehealth.org.
Acknowledgments
We would like to kindly thank the Rays of Hope Foundation for fully supporting this research.
References
- Huang Z, Willett WC, Colditz GA, Hunter DJ, Manson JE, Rosner B, Speizer FE, Hankinson SE. Waist circumference, waist:hip ratio, and risk of breast cancer in the nurses’ health study. Am J Epidemiol. 1999;150:1316–1324. doi: 10.1093/oxfordjournals.aje.a009963. [DOI] [PubMed] [Google Scholar]
- Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100:57–70. doi: 10.1016/S0092-8674(00)81683-9. [DOI] [PubMed] [Google Scholar]
- Gauger KJ, Hugh JM, Troester MA, Schneider SS. Down-regulation of sfrp1 in a mammary epithelial cell line promotes the development of a cd44high/cd24low population which is invasive and resistant to anoikis. Canc Cell Int. 2009;9:11. doi: 10.1186/1475-2867-9-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gauger KJ, Shimono A, Crisi GM, Schneider SS. Loss of SFRP1 promotes ductal branching in the murine mammary gland. BMC Dev Biol. 2012;12:25. doi: 10.1186/1471-213X-12-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gauger KJ, Schneider SS. The tumor supressor sectrete frizzled related protein 1 regulates p53-mediated apoptosis. Cell Biol Int. 2014;38:124–130. doi: 10.1002/cbin.10176. [DOI] [PubMed] [Google Scholar]
- Gauger KJ, Bassa LM, Henchey EM, Wyman J, Bentley B, Brown M, Shimono A, Schneider SS. Mice deficient in Sfrp1 exhibit increased adiposity, dysregulated glucose metabolim, and enhanced macrophage infiltration. PLoS One. 2013;8:e78320. doi: 10.1371/journal.pone.0078320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Polakis P. Wnt signaling and cancer. Gene Dev. 2000;14:1837–1851. [PubMed] [Google Scholar]
- Bafico A, Gazit A, Pramila T, Finch PW, Yaniv A, Aaronson SA. Interaction of frizzled related protein (FRP) with Wnt ligands and the frizzled receptor suggests alternative mechanisms for FRP inhibition of Wnt signaling. J Biol Chem. 1999;274:16180–16187. doi: 10.1074/jbc.274.23.16180. [DOI] [PubMed] [Google Scholar]
- Satoh W, Gotoh T, Tsunematsu Y, Aizawa S, Shimono A. Sfrp1 and Sfrp2 regulate anteroposterior axis elongation and somite segmentation during mouse embryogenesis. Development (Cambridge, England) 2006;133:989–999. doi: 10.1242/dev.02274. [DOI] [PubMed] [Google Scholar]
- Mori H, Prestwich TC, Reid MA, Longo KA, Gerin I, Cawthorn WP, Susulic VS, Krishnan V, Greenfield A, Macdougald OA. Secreted frizzled-related protein 5 suppresses adipocyte mitochondrial metabolism through WNT inhibition. J Clin Investig. 2012;122:2405–2416. doi: 10.1172/JCI63604. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ouchi N, Higuchi A, Ohashi K, Oshima Y, Gokce N, Shibata R, Akasaki Y, Shimono A, Walsh K. Sfrp5 is an anti-inflammatory adipokine that modulates metabolic dysfunction in obesity. Science (New York, NY) 2011;329:454–457. doi: 10.1126/science.1188280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bodine PV, Billiard J, Moran RA, Ponce-de-Leon H, McLarney S, Mangine A, Scrimo MJ, Bhat RA, Stauffer B, Green J, Stein GS, Lian JB, Komm BS. The Wnt antagonist secreted frizzled-related protein-1 controls osteoblast and osteocyte apoptosis. J Cell Biochem. 2005;96:1212–1230. doi: 10.1002/jcb.20599. [DOI] [PubMed] [Google Scholar]
- Seol MB, Bong JJ, Baik M. Expression profiles of apoptosis genes in mammary epithelial cells. Mol Cells. 2005;20:97–104. [PubMed] [Google Scholar]
- Jiang GX, Liu W, Cui YF, Zhong XY, Tai S, Wang ZD, Shi YG, Li CL, Zhao SY. Reconstitution of secreted frizzled-related protein 1 suppresses tumor growth and lung metastasis in an orthotopic model of hepatocellular carcinoma. Dig Dis Sci. 2010;55:2838–2843. doi: 10.1007/s10620-009-1099-3. [DOI] [PubMed] [Google Scholar]
- Cooper SJ, von Roemeling CA, Kang KH, Marlow LA, Grebe SK, Menefee ME, Tun HW, Colon-Otero G, Perez EA, Copland JA. Reexpression of tumor suppressor, sFRP1, leads to antitumor synergy of combined HDAC and methyltransferase inhibitors in chemoresistant cancers. Mol Canc Therapeut. 2012;11:2105–2115. doi: 10.1158/1535-7163.MCT-11-0873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakano K, Vousden KH. PUMA, a novel proapoptotic gene, is induced by p53. Mol Cell. 2001;7:683–694. doi: 10.1016/S1097-2765(01)00214-3. [DOI] [PubMed] [Google Scholar]
- Faleiro L, Kobayashi R, Fearnhead H, Lazebnik Y. Multiple species of CPP32 and Mch2 are the major active caspases present in apoptotic cells. EMBO J. 1997;16:2271–2281. doi: 10.1093/emboj/16.9.2271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sharma SD, Katiyar SK. Leptin deficiency-induced obesity exacerbates ultraviolet B radiation-induced cyclooxygenase-2 expression and cell survival signals in ultraviolet B-irradiated mouse skin. Toxicol Appl Pharmacol. 2012;244:328–335. doi: 10.1016/j.taap.2010.01.010. [DOI] [PubMed] [Google Scholar]
- Ford NA, Dunlap SM, Wheatley KE, Hursting SD. Obesity, independent of p53 gene dosage, promotes mammary tumor progression and upregulates the p53 regulator MicroRNA-504. PLoS One. 2013;8:e68089. doi: 10.1371/journal.pone.0068089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weichhaus M, Broom J, Wahle K, Bermano G. A novel role for insulin resistance in the connection between obesity and postmenopausal breast cancer. Int J Oncol. 2012;41:745–752. doi: 10.3892/ijo.2012.1480. [DOI] [PubMed] [Google Scholar]
- Imbert A, Eelkema R, Jordan S, Feiner H, Cowin P. Delta N89 beta-catenin induces precocious development, differentiation, and neoplasia in mammary gland. J Cell Biol. 2001;153:555–568. doi: 10.1083/jcb.153.3.555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Michaelson JS, Leder P. Beta-catenin is a downstream effector of Wnt-mediated tumorigenesis in the mammary gland. Oncogene. 2001;20:5093–5099. doi: 10.1038/sj.onc.1204586. [DOI] [PubMed] [Google Scholar]
- Bradbury JM, Edwards PA, Niemeyer CC, Dale TC. Wnt-4 expression induces a pregnancy-like growth pattern in reconstituted mammary glands in virgin mice. Dev Biol. 1995;170:553–563. doi: 10.1006/dbio.1995.1236. [DOI] [PubMed] [Google Scholar]
- Faust IM, Johnson PR, Stern JS, Hirsch J. Diet-induced adipocyte number increase in adult rats: a new model of obesity. Am J Physiol. 1978;235:E279–E286. doi: 10.1152/ajpendo.1978.235.3.E279. [DOI] [PubMed] [Google Scholar]
- Suda T, Takahashi N, Udagawa N, Jimi E, Gillespie MT, Martin TJ. Modulation of osteoclast differentiation and function by the new members of the tumor necrosis factor receptor and ligand families. Endocr Rev. 1999;20:345–357. doi: 10.1210/edrv.20.3.0367. [DOI] [PubMed] [Google Scholar]
- Fernandez-Valdivia R, Mukherjee A, Ying Y, Li J, Paquet M, DeMayo FJ, Lydon JP. The RANKL signaling axis is sufficient to elicit ductal side-branching and alveologenesis in the mammary gland of the virgin mouse. Dev Biol. 2009;328:127–139. doi: 10.1016/j.ydbio.2009.01.019. [DOI] [PubMed] [Google Scholar]
- Gonzalez-Suarez E, Jacob AP, Jones J, Miller R, Roudier-Meyer MP, Erwert R, Pinkas J, Branstetter D, Dougall WC. RANK ligand mediates progestin-induced mammary epithelial proliferation and carcinogenesis. Nature. 2011;468:103–107. doi: 10.1038/nature09495. [DOI] [PubMed] [Google Scholar]
- Hausler KD, Horwood NJ, Chuman Y, Fisher JL, Ellis J, Martin TJ, Rubin JS, Gillespie MT. Secreted frizzled-related protein-1 inhibits RANKL-dependent osteoclast formation. J Bone Miner Res. 2004;19:1873–1881. doi: 10.1359/JBMR.040807. [DOI] [PubMed] [Google Scholar]
- Fernandez-Valdivia R, Lydon JP. From the ranks of mammary progesterone mediators, RANKL takes the spotlight. Mol Cell Endocrinol. pp. 91–100. [DOI] [PMC free article] [PubMed]
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