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Dickkopf-related protein 2 induces G0/G1 arrest and apoptosis through suppressing Wnt/β-catenin signaling and is frequently methylated in breast cancer

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Oncotarget. 2017; 8:39443-39459. https://doi.org/10.18632/oncotarget.17055

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Junhao Mu, Tianli Hui, Bianfei Shao, Lili Li, Zhenfang Du, Li Lu, Lin Ye, Shuman Li, Qianqian Li, Qian Xiao, Zhu Qiu, Yan Zhang, Jiangxia Fan, Guosheng Ren, Qian Tao _ and Tingxiu Xiang


Junhao Mu1,*, Tianli Hui1,*, Bianfei Shao1, Lili Li2, Zhenfang Du2, Li Lu2, Lin Ye1, Shuman Li1, Qianqian Li3, Qian Xiao1, Zhu Qiu1, Yan Zhang1, Jiangxia Fan1, Guosheng Ren1, Qian Tao1,2 and Tingxiu Xiang1

1Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

2Cancer Epigenetics Laboratory, Department of Clinical Oncology, State Key Laboratory of Oncology in South China, Sir YK Pao Center for Cancer and Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong and CUHK Shenzhen Research Institute, Hong Kong

3Chinese Medicine Hospital of Linyi City, Shandong, China

*These authors have contributed equally to this work

Correspondence to:

Qian Tao, email: qtao@cuhk.edu.hk

Tingxiu Xiang, email: larissaxiang@163.com

Keywords: DKK2, tumor suppressor, methylation, cancer, Wnt signaling

Received: December 07, 2016     Accepted: March 20, 2017     Published: April 12, 2017


Dickkopf-related protein 2 (DKK2) is one of the antagonists of Wnt/β-catenin signaling, with its downregulation reported in multiple cancers. However, how DKK2 contributes to breast tumorigenesis remains unclear. We examined its expression and promoter methylation in 10 breast tumor cell lines, 98 primary tumors, and 21 normal breast tissues. Compared with normal tissues, DKK2 was frequently silenced in breast cell lines (7/8). DKK2 promoter methylation was detected in 77.8% of cell lines and 86.7% of breast tumors; while rarely detected in normal breast tissues (19%), indicating common DKK2 methylation in breast cancer. Ectopic expression of DKK2 changed breast tumor cell morphology, inhibited cell proliferation and colony formation by inducing G0/G1 cell cycle arrest and apoptosis, and suppressed tumor cell migration by reversing epithelial-mesenchymal transition (EMT) and downregulating stem cell markers. Moreover, restored expression of DKK2 in MCF7 cells disrupted the microtube formation of human umbilical vein endothelial cells on Matrigel®. In vivo, the growth of MDA-MB-231 cells in nude mice was markedly decreased after stable expression of DKK2. DKK2 suppressed canonical Wnt/β-catenin signaling by inhibiting β-catenin activity with decreased active β-catenin protein. Thus, our findings demonstrate that DKK2 functions as a tumor suppressor through inhibiting cell proliferation and inducing apoptosis via regulating Wnt signaling during breast tumorigenesis.


Wnt/β-catenin pathway is critical to multiple tumorigenesis [1]. Both genetic and epigenetic changes cause abnormal activation of Wnt pathway components that are involved in multiple cell functions, contributing to tumor initiation and development.

Wnt signaling is comprised of canonical Wnt/β-catenin and non-canonical Wnt signaling that are independent of β-catenin [2]. Increased expression of Wnt family members greatly increases the risk of breast tumor formation [35]. Moreover, a majority of breast cancer studies reveals that Wnt antagonists can be regulated by epigenetic changes. Importantly, DNA methylation is frequently detected in this pathway in multiple cancers, especially Wnt antagonists are frequently down-regulated by promoter CpG methylation, suggesting that aberrant epigenetic changes towards Wnt signaling, rather than gene deletion or mutation, are involved in breast tumorigenesis [2, 610].

DKK2, Like DKK1, DKK3, DKK4 and Soggy, belong to the DKK family [11]. It locates at 4q25 and regulates Wnt/β-catenin signaling through binding to LDL receptor-related proteins (LRP5/6). DKK1, 2 and 3, but not DKK4, have typical CpG island in their promoters, thus are regulated by epigenetic mechanism via promoter CpG methylation [2]. DKK2 has been shown to be downregulated or silenced by epigenetic mechanisms in several malignancies, including Ewing’s sarcoma, kidney cancer, and ovarian cancer, same as DKK3 [1214]. Although DKK2 is frequently silenced by promoter methylation, its effects on Wnt signaling in breast carcinogenesis are still unclear.

Here we investigated the expression and significance of DKK2 in mammary cancer, as well as its functions in vivo and in vitro. Our findings demonstrate that DKK2 inhibited breast cancer growth through downregulating activated β-catenin levels. The tumor-specific promoter methylation of DKK2 could be a potential marker for the early assessment of mammary cancer.


DKK2 is downregulated in breast carcinoma

DKK2 downregulation in breast cell lines has been reported in our previous study [15]. Protein expression of DKK2 was examined in 30 paired primary tumors and appropriate surgical-margin tissues by immunohistochemistry (IHC). IPP6.0 analysis showed that DKK2 protein expression was significantly lower in breast tumors (0.201 ± 0.038) than that in surgical-margins (0.274 ± 0.049) (***p < 0.001) (Figure 1A1C). Furthermore, we showed that DKK2 mRNA level was significantly lower in breast cancer tissues than that in paired surgical-margins by qRT-PCR (*p < 0.05) (Figure 2C). Alternatively, the downregulation of DKK2 was related to clinicopathological subtypes of breast cancer according to data from Oncomine database (Oncomine, Compendia Bioscience, Ann Arbor, MI) (Figure 2A, 2B) (p < 0.00001). Altogether, these data indicated that the reduced DKK2 expression was a solid fact in breast carcinoma.

The expression levels of DKK2 in breast cancer tissues.

Figure 1: The expression levels of DKK2 in breast cancer tissues. (A) The MOD of DKK2 protein in each case. (B) Representative images of DKK2 IHC staining in paired breast carcinomas and its surgical margin tissues. (C) Quantitative analysis of the MOD of DKK2 expressions in two groups are shown as values of mean ± SD. ***, p < 0.001(Student's t-test).

Expression and significant of DKK2 in breast carcinoma.

Figure 2: Expression and significant of DKK2 in breast carcinoma. (A, B) DKK2 expression is reduced in breast carcinoma. Oncomine platform provides all data (https://www.oncomine.org/). BN: normal breast tissue; BA: breast adjacent tissue; BrCa: breast cancer tissue. (C) Expression of DKK2 was detected by quantitative real-time PCR in human breast adjacent tissue and breast cancer tissues. (D) DKK2 expression and prognostic analyses in breast carcinoma. Kaplan-Meier survival curves are presented to explicate prognostic significant of DKK2. Data from bc-GenExMiner. The p values shown was statistically significant.

Prognostic analyses showed that higher levels of DKK2 expression could herald a better survival rate [hazard ratio (HR) = 0.74, p = 3.1 e-07] (Figure 2D) [1617]. These results indicated that DKK2 downregulation may be a marker to evaluate the outcome of breast carcinoma.

Promoter CpG methylation downregulated DKK2 expression

DKK2 contains a typical CpG island [15]. To identify whether DKK2 silencing was due to its promoter CpG methylation, we investigated methylation status of DKK2. DKK2 was silenced in 7/8 breast cell lines (Figure 3A), while its CpG hypermethylation was detected in 7/9 cell lines (Figure 3A). To further determine whether DKK2 silencing correlated with promoter methylation, we treated MDA-MB-231 and MCF7 cells with demethylation drug 5-Aza-dC or combined with TSA. Results showed that DKK2 expression was remarkably restored after treatment, together with increased unmethylated alleles and decreased methylated alleles (Figure 3B). Thus, DKK2 silencing or downregulation was the result of promoter CpG methylation in breast cancer cells.

The methylation status of DKK2 promoter in mammary carcinoma cell lines, primary tumor tissues and normal breast tissues.

Figure 3: The methylation status of DKK2 promoter in mammary carcinoma cell lines, primary tumor tissues and normal breast tissues. (A) Promoter methylation of DKK2 in mammary carcinoma cells. “M” indicates methylated DKK2; “U” indicates unmethylated DKK2. (B) Restoration of DKK2 expression by Aza with or TSA treatment in MDA-MB-231 and MCF7 cells. (C) Representative methylation of DKK2 in mammary carcinoma and (D) normal tissues as measured by MSP.

Furthermore, 98 primary breast carcinoma tissues and 21 normal mammary tissues were analyzed by MSP to investigate DKK2 methylation in breast tumors. DKK2 methylation was detected in 85/98 (86.7%) breast tumors, 4/21 (19%) in normal tissues, indicating that DKK2 methylation was a common in breast cancer (Table 1, Figure 3C, 3D). These results suggested that the promoter of DKK2 is specifically methylated in breast tumors.

Table 1: Methylation status of the DKK2 promoter in primary breast tumors


DKK2 promoter

Frequency of methylation



BrCa (n= 98)




BNP (n=21)




Note: BrCa, breast cancer; BNP, breast normal tissues

However, DKK2 methylation was not statistically associated with age, tumor size, clinical stage, metastasis, or ER, PR, HER2 status of breast carcinoma patients through analyzing the DKK2 promoter methylation and patient clinicopathological characters. All these results indicated that DKK2 methylation is a potential marker for breast carcinoma early detection.

DKK2 inhibits breast cancer cell growth and colony formation

To explore the tumor suppressive function of DKK2 in breast cancer, CCK8 assays and colony formation assays were performed in MDA-MB-231 and MCF7 cells. DKK2 expression in DKK2-infected cells were verified via RT-PCR and western blot (Figure 4A). Compared to the control cells, there was a 40-65% reduction in colony formation in DKK2-expressed cells (***p < 0.001, **p < 0.01) (Figure 4B, 4C). Cell vitality, as determined by CCK8 assay, also remarkably declined at 24 h, 48 h, and 72 h (all ***p < 0.001) (Figure 4D).

Inhibitory effect of DKK2 in breast carcinoma.

Figure 4: Inhibitory effect of DKK2 in breast carcinoma. (A) Expression of DKK2 was confirmed by RT-PCR and western blot in vector- and DKK2- infected MDA-MB-231 and MCF-7 cells. (B) Representative images of CFA in vector- and DKK2-infected mammary carcinoma cells. (C) The histogram statistics of CFA. The mean ± S.E. data from three independent experiments (***p < 0.001). (C) (D) Measurement of cell proliferation for vector- and DKK2- infected mammary carcinoma cells through CCK-8 assay. Three asterisks, p < 0.001.

DKK2 delays cell cycle and induces apoptosis in mammary carcinoma cells

Cell cycle analysis was performed to explore how DKK2 affects cell proliferation. Compared to control cells, DKK2 significantly increased the number of MDA-MB-231 and MCF7 cells in G0-G1 phase by 14% and 13%, respectively (***p < 0.001) (Figure 5A). Acridine orange/ethidium bromide (AO/EB) double staining was performed to examine breast tumor cell apoptosis (Figure 5B). These data indicated that DKK2 can inhibit cell growth by delaying the cell cycle in G0/G1 and inducing cell apoptosis. Western blot further showed increased expression of cleaved-PARP and caspases in DKK2 expressing cells (Figure 5C).

Flow cytometric analysis.

Figure 5: Flow cytometric analysis. (A) The cell cycle distribution in vector and DKK2- infected MDA-MB-231 and MCF7 cells detected by flow cytometry analyses. Representative images of cell cycle distribution (left) and statistical graphs of cell cycle changes (right) (***p < 0.001). (B) AO/EB staining was used to examine cell apoptosis. The percentage of total apoptotic cells is calculated and indicated in histograms (***p < 0.001). (C) DKK2 upregulated the expression levels of two classic markers of apoptosis, cleaved-PARP and cleaved-caspase 3, by western blot.

DKK2 inhibits breast cancer xenografts’ growth in nude mice

Nude mice xenografts model was used to further assess the functions of DKK2 in vivo. No significant differences were observed in the various organs between the two group mice (data not shown). The average volume and weight of the tumors were significantly lower in DKK2 group than that in control group (***p < 0.001) (Figure 6A, 6B). IHC and hematoxylin & eosin (H&E) staining were carried out to analyze DKK2 expression and tumor features of the xenografts nude mice, respectively. TUNEL analyses and Ki-67 staining were carried out to evaluate cell apoptosis and proliferation. Most tumor cells with frequently nuclear fragmentation were observed in xenografts with DKK2-expressing, along with downregulation of Ki-67 and increasing of apoptotic cells (Figure 6C, 6D). All these data indicated that DKK2 inhibits breast tumorigenesis.

DKK2 inhibited mammary carcinoma growth in vivo.

Figure 6: DKK2 inhibited mammary carcinoma growth in vivo. (A) Images of human breast tumor xenografts. (B) Comparative analyses of tumor growth curve for vector- and DKK2- infected MDA-MB-231 cells in nude mice xenografts (***p < 0.001). (C) Representative photographs of H&E staining and IHC expression analyses of DKK2, Ki-67, and apoptosis as assessed by TUNEL assays in xenografts (400× magnification). (D) Comparative histogram of tumor weights in the two groups of nude mice (***p < 0.001).

DKK2 suppresses migration and invasion via regulating epithelial- mesenchymal transition (EMT) in breast carcinoma

To further make clear the effects of DKK2 on cell migration, wound healing assays were performed. DKK2 stable cells migrated along the wound borderline slower than the control cells at 48 h, (all ***p < 0.001) (Figure 7A-7D) indicating that DKK2 could also inhibit cell migration in MDA-MB-231 and MCF7. Transwell® assays further identified that DKK2 expressing cells had a significantly decreased number of cells through the membrane. (***p < 0.001) (Figure 7E, 7F).

Ectopic expression of DKK2 inhibited migration of breast cancer cells.

Figure 7: Ectopic expression of DKK2 inhibited migration of breast cancer cells. (A, B, C, and D) The cellular migration abilities (MDA-MB-231 and MCF7) were examined by wound healing assays. Photographs were captured at 0, 24, or 48 h. The ratio of wound healing was calculated (right). (E, F) DKK2 inhibited the migration of tumor cells, 400×magnification (***p < 0.001).

To study underlying mechanisms of DKK2 on cell migration in breast cancer, cell morphological changes was firstly observed (Figure 8A). Cells expressing DKK2 recovered cell adherence and contacts with each other, however, the control cells exhibited a scattering pattern, indicating that DKK2 might be involved in tumor cell EMT. Western blot showed increased epithelial markers (E-cadherin and occludin), and decreased mesenchymal markers (N-cadherin and vimentin), in DKK2 expressing cells (Figure 8B). Immunofluorescence staining further showed increased staining of E-cadherin and less staining of vimentin in the cytoplasm and the membranes of breast tumor cells expressing DKK2 (Figure 8C). These results demonstrated that DKK2 inhibits EMT in breast cancer cells.

Ectopic expression of DKK2 and the effects on EMT and Wnt signaling in breast tumor cells.

Figure 8: Ectopic expression of DKK2 and the effects on EMT and Wnt signaling in breast tumor cells. (A) Morphological changes of breast cells infected with control vector or DKK2 by phase contrast microscopy. 400×magnification. (B) The thicker stress fibers of DKK2 expressing cells and more fibers of the E-cadherin, but fewer and thinner fibers of the vimentin in DKK2 expressing tumor cells. (C) Western blot analyses of EMT, and downstream target markers. (D) Representative stem cell markers were detected in DKK2-infected MDA-MB-231 and MCF7 cells by RT-PCR. *Indicates significantly decreased band density. (E) Examination of β-catenin and its targets by western blot.

As cell with stem cell properties is closely related to EMT for tumor cells, it is necessary to investigate whether DKK2 could negatively regulate cell stemness in breast tumor cells. RT-PCR showed that DKK2 caused the downregulation of most stem cell markers, including OCT4, BMI1, SOX2, SOX3, MAD2, NANOG, ABCG2, STAT3, and RLF4 in MDA-MB-231 and MCF7 cells (Figure 8D). Again it indicated that DKK2 may inhibit both EMT and stemness of breast carcinoma cells.

DKK2 regulates the Wnt signaling pathway in breast tumor cells

DKK family is an antagonist of Wnt pathway. Here we studied whether the tumor suppressive function of DKK2 was related to its effects on this pathway. Our results showed that the restored expression of DKK2 in breast tumor cell lines significantly down-regulated active β-catenin. The downstream target genes of β-catenin, cyclin D1 and c-Myc were also confirmed to be downregulated (Figure 8E). Our findings indicated that DKK2 inhibited β-catenin activity, thus inhibiting Wnt/β-catenin signaling in mammary cancer.

DKK2 inhibits angiogenesis in vitro and in conditioned medium

Angiogenesis plays an important role in tumor growth. To understand whether attenuating new blood vessel formation contributes to tumor suppressive function of DKK2, Transwell® assays for HUVECs in conditioned medium were performed to verify the effects of DKK2 on the migration of HUVECs, when compared to control cells. HUVECs cell lines cultured in DKK2 conditional medium demonstrated a significantly decreased number of migrating cells compare with the empty vector group (***p < 0.001) (Figure 9A, 9B).

DKK2 suppressed angiogenesis in vitro.

Figure 9: DKK2 suppressed angiogenesis in vitro. (A, B) Conditioned media from DKK2- infected breast tumor cells inhibited migration of HUVECs. Each experiment was performed three times. (C, D) Conditioned media from DKK2-expressing MCF7 cells suppressed HUVECs tube formation. (E) Primary antibodies targeting DKK2 were used in conditioned media from DKK2-expressing cells. Effects of DKK2-expressing MCF7 cells on HUVECs tube formation were measured (***p < 0.001).

Tube formation assays were further performed in vitro. As shown, DKK2 significantly disrupted microtube formation of HUVECs on Matrigel® (***p < 0.001) (Figure 9C, 9D). After incubation with DKK2 primary antibodies in conditioned media, DKK2 antibody could partly reverse microtubule formation of HUVECs (***p < 0.001) (Figure 9E).


At present, a large amount of studies reported that Wnt signaling was important in initiation and development of breast carcinoma. Several Wnt/β-catenin antagonists were epigenetically repressed in breast cancer [1], including WIF1 [18], SFRP1 [19], SFRP2 [20], SFRP5 [21], DKK1 [22], and DKK3 [15]. Within the DKK family, the DKK2 gene is a critical gene involved in the inhibition of Wnt signaling. Recently, silencing of DKK2 was reported to be a valuable biomarker for multiple malignancies [1214], but its roles in breast cancer are still unclear. Thus, defining the underlying mechanisms of DKK2 in breast cancer development may support the idea that DKK2 may be a potential treatment target and marker in breast carcinoma. Here, DKK2 promoter methylation was detected in 77.8% (7/9) of breast cell lines and in 86.7% of breast tumor samples. No methylation was observed in SK-BR-3 and T47D cells with DKK2 downregulation, which might be caused by the heterogeneity of tumor cells, and suggests that other mechanisms such as histone deacetylation might be also involved. Our data showed that the methylation status and expression of DKK2 were not correlated with the clinical features of breast tumor, such as pathological grade, ER status, and lymph node metastasis level. However, DKK2 can be a new biomarker for early assessment of breast tumor.

Our results also showed that ectopic expression of DKK2 can induce apoptosis, suppress cell growth, and halt cell cycle in G0/G1 in breast tumor cell lines, in agreement with previous reports [1214]. DKK2 also suppressed cell migration by interfering with EMT. Moreover, we showed that DKK2 suppressed β-catenin activation and expression of its downstream genes. Numerous studies have demonstrated WNT pathway plays diverse roles in regulating the vascular system [2325]. Indeed, both Wnt1 and Wnt5a have been shown to regulate two critical processes for angiogenesis, endothelial cell (EC) proliferation and migration [26]. Actually, the anti-angiogenic activities of other Wnt pathway antagonists also were reported in some studies, including sFRPs, WIF1, DKK1 and DKK4 [2729]. On the other hand, it is interesting that in some cases Wnts seem to be inhibitory of angiogenesis, WNT1 and WNT5 were found to inhibit proliferation of endothelial cells [30]. Previous studies showed that DKK2 boosts angiogenesis and tissue recovery by regulating the activation of Cdc42 in rodent and EC cells [31]. Our results demonstrated that DKK2 dramatically suppresses angiogenesis compared with controls in cultured human endothelial cells. After incubating with DKK2 primary antibodies in conditioned media, DKK2 antibody could partly reverse microtubule formation of HUVECs. Previous studies have demonstrated double roles for the WNT signaling in angiogenesis. One possible explanation for this might be that DKK2 may inhibit or induce angiogenesis through directly affect WNT signaling in breast cancer, depending on different Wnt signaling acitivity in different microenvironment. Another possible explanation is that DKK2 could regulate angiogenesis through other pathways such as Notch/Dll4 and VEGF. DKK2 also influence pro-angiogenic factors to regulate angiogenesis. This remains an unmet need for an in-depth study to identify the mechanism of DKK2.


Cell lines and tumor samples

Several breast tumor cell lines (BT549, MDA-MB-231, MDAMB-468, MCF-7, T47D, SK-BR-3, YCC-B1, YCC-B3, and ZR-75-1) were used. These cell lines were obtained from the ATCC (American Type Culture Collection, Manassas, VA, USA) or collaborators. All cell lines were maintained in RPMI 1640 media (Gibco-BRL, Karlsruhe, Germany) supplemented with 10% fetal bovine serum (FBS; PAA Laboratories, Linz, Austria), 100 U/mL penicillin, and 100 mg/mL streptomycin at 37°C in a humidified atmosphere containing 5% CO2 [3233]. All tissues were obtained from patients who underwent primary surgery at the Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University [3435]. Clinical and pathological data of all the participants were obtained, and their demographics are summarized in Table 2. This research was approved by the Institutional Ethics Committees of the First Affiliated Hospital of Chongqing Medical University (#20130306), and conformed to the tenets of the Declaration of Helsinki.

Table 2: Clinicopathologic features of DKK2 methylation in breast cancer

Clinicopathological features

Number (n=98)

DKK2 promoter methylated status

p value



































Tumour size


 <2.0 cm




 ≥2.0 cm ≤5.0cm












Lymph node metastasis














ER status














PR status














HR status














DNA and RNA extractions

Genomic DNA was isolated from cell lines and tissues using DNAzol® reagent (Invitrogen, Rockville, MD, USA) and the QIAamp® DNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s protocols. Total RNA was extracted from cell lines and tissues using TRI Reagent® (Molecular Research Center, Cincinnati, OH, USA) [32]. Total DNA and RNA were detected by gel electrophoresis. Samples were stored at -80°C until use.

5-aza-deoxycytidine and trichostatin A treatments

5-aza-2'-deoxycytidine (5-aza-dC), a DNA methyltransferase (DNMT) inhibitor, makes DNMT inactivation through DNMT covalent bonding with thiol on cysteine residues, resulting in reactivation genes silenced by promoter methylation. Trichostatin A (TSA), a histone deacetylase inhibitor, plays a significant role in controlling the tightness of DNA around histone. Combination treatment of TSA and 5-Aza-dC results in the synergistic activation of methylated genes.

As previously described [32], breast cancer cell lines were treated with 10 mmol/L 5-aza-2-deoxycytidine (Aza) (Sigma-Aldrich, Steinheim, Germany) for 3 days and further treated with or without 100 nmol/L TSA (Sigma-Aldrich) for an additional 24 h.

Reverse transcriptase-PCR and real-time PCR

The reverse transcriptase-polymerase chain reaction (RT-PCR) was performed as previously described [32, 36]. GAPDH was amplified as a control. Samples were assayed in a 10 μL reaction mixture containing 2 μL of cDNA. The primer sequences are in listed in Table 3. RT-PCR was carried out using Go-Taq (Promega, Madison, WI, USA). Reaction was under the following conditions: 32 cycles for DKK2 and 23 cycles for GAPDH. Real-time PCR was performed according to the manual (HT7500 System; Applied Biosystems), the expression level of DKK2 in paired surgical margin tissues was considered as baseline.

Table 3: List of primers used in this study



Sequence (5’-3’)

Product size (bp)

PCR Cycles

Annealing temperature (°C)
























Bisulfite treatment and methylation-specific PCR (MSP)

Bisulfite modification of DNA and methylation-specific PCR (MSP) were carried out as previously described [3738]. The methylation-specific primers are listed in Table 2. MSP analysis revealed no amplified product in any not-bisulfited DNA by MSP primers, thus specific. MSP was performed for 40 cycles using AmpliTaq®-Gold DNA Polymerase (Applied Biosystems) with annealing temperatures of 60°C or 58°C. Methylated and non-methylated human DNAs were used as positive and negative controls, respectively. MSP products were identified on 2% agarose gel containing 100 bp DNA markers (MBI Fermentas, Vilnius, Lithuania).

Construction of LV-DKK2 and stable cell lines

To construct human DKK2 lentiviral over-expression vector (LV-DKK2), using normal testis cDNA as a template, the DKK2 fragment was amplified by PCR to construct pEZ-Lv105 shuttle plasmid by directly clone. Shuttle plasmid along with and helper plasmids mixture were co-transfected into 293T cells to package LV-DKK2, and the virus titer was determined by real-time PCR and drug screening method, respectively. MDA-MB-231 and MCF7 stable cells infected with LV-DKK2 were obtained under the pressure of puromycin (2 μg/ml, BioVision, Inc., CA, USA). Total RNA from infected cells was extracted, treated with TURBO™ DNase (Ambion, Austin, TX, USA). Proteins from two cell lines were solubilized and extracted using the Protein Extraction kit (Thermo Scientific, #23225). RT-PCR and western blot were used to measure ectopic expression of DKK2 prior to the other experiments.

Colony formation assays

Colony formation assays were performed as previously described [32]. Cells infected by lentivirus were plated in 6-well plates at a density of 1 × 103 cells/well. Surviving colonies (≥ 50 cells/colony) were counted after staining with Gentian violet. All experiments were performed in triplicate.

Cell proliferation assay

MDA-MB-231 and MCF7 stably cells were cultured in 6-well plates and grown overnight. After 24, 48, and 72 h, proliferation was measured using the Cell Counting Kit-8 (CCK-8; Beyotime, Shanghai, China) [32]. The experiments were independently repeated three times.

Analyses of the cell cycle and apoptosis

To assess cell cycle status [39], MDA-MB-231 and MCF7 cells were seeded (1 × 106 cells/well) in 6-well plates. After 48 h, cells were collected and centrifuged at 800 rpm for 5 min, then washed with phosphate-buffered saline (PBS) twice, and fixed in ice-cold 70% ethanol for at least 24 h, and treated with 100 μL of 50 mg/L propidium iodide for 30 min at 4°C in the dark. The cell cycle data were analyzed by CELL Quest software (BD Biosciences, San Jose, CA, USA). For apoptosis analyses, acridine orange/ethidium bromide (AO/EB) fluorescence staining was used [39]. Cells were re-plated in 6-well plates. After 24 h, cells were washed in PBS three times then stained with AO/EB for 5 min and visualized immediately under a fluorescence microscope (LEICA CTR4000B; Leica Microsystems, Buffalo Grove, IL, USA). The percentage of apoptotic cells was then calculated by the formula: percentage of apoptotic cell (%) = (amount of apoptotic cells/total cells examined) × 100%.

Wound healing and Transwell® assays for cell migration

Cell mobility was assessed using a scratch wound healing assay. DKK2 stably infected cells (MDA-MB-231 and MCF7) were cultured in 6-well plates until confluent. The cell layers were carefully wounded using sterile tips and then cells were washed with PBS, cultured in 5% FBS-RPMI 1640. After incubation for 12, 24, and 48 h, the cells were photographed under a 10× objective lens. Experiments were performed in triplicate. In vitro Transwell® assays were carried out as described previously [40].

Microtube formation and conditioned medium assays

Conditioned media were collected by incubating MCF7 breast cancer cells infected with lentivirus LV-DKK2 or vector alone without serum for 24 h. After Matrigel® culturing, (Corning Life Sciences, Bedford, MA, USA) cells were thawed on ice (approximately 1-2 h). The Matrigel® was added into the 96-well plates (50 μL into each well) that were then incubated at 37°C for 30 min to allow the Matrigel® to polymerize. A total of 1 × 104 human umbilical vein endothelial cells (HUVEC) were seeded into each well and incubated with 100 μL conditioned media from LV-DKK2 or vector alone stably infected breast cancer cells (MCF7). HUVECs were then incubated for 6 h to allow microtubule formation. Image analyses of tube lengths were carried out using Image J software. To eliminate other factors effecting microtubule formation, anti-DKK2 primary antibody was added in the conditioned media. Transwell® assays for HUVECs in condition medium were performed to further determine whether DKK2 influenced the migration of HUVECs.

The co-culture system was used to detect the influence of DKK2 on HUVEC migration. Briefly, HUVEC cells were seeded at a density of 2 × 105 cells/mL into the upper chamber of a Transwell® (Corning Life Sciences) with inserts containing 8-μm pore size polyethylene terephthalate (PET) membranes (Corning Life Sciences). MDA-MB-231 or MCF7 with LV-DKK2 or vector was seeded in the lower chamber with RPMI 1640 containing 10% FBS. After a 24h incubation at 37°C, cells remaining in the upper chamber were removed carefully with a cotton swab and the membrane was cut with an operating knife. The side facing the lower chamber was stained with 0.05% crystal violet and attached cells were counted under a light microscope. Each experiment was performed three times.

Indirect immunofluorescence determinations

MDA-MB-231 and MCF7 cells were seeded (1×106cells/well) in 24-well plates on coverslips and allowed to grow overnight, the cultures were then infected transiently with LV-DKK2. Coverslips were stained by indirect immunofluorescence double staining as described previously [40]. Briefly, cells were incubated with primary antibodies against E-cadherin (#1702-1; Epitomics), vimentin (#2707-1; Epitomics), or DKK2 (ab38594; Abcam), and then incubated with Alexa Fluor® 594- (Invitrogen) or FITC-conjugated (Dako, Carpinteria, CA, USA) secondary antibody against mouse or rabbit IgG. Cells were then counterstained with 4′, 6-diamidino-2-phenylindole (DAPI) and imaged with a confocal laser scanning microscope.

Tissue microarray and immunohistochemistry analyses

To evaluate the expression levels of DKK2 in breast cancer tissues, tissue microarrays (TMA) were constructed using paraffin embedding, including 30 pairs of primary tumors and corresponding tumor margin tissues (Biochip Co., Ltd., Shanghai, China). IHC was performed according to IHC procedure as described previously [32, 41]. Anti-DKK2 was obtained from abcam (ab38594; Abcam). Sections were incubated with primary antibody (1:200 dilution) overnight at 4°C, followed by the secondary antibody (1:2000 dilution) at 37°C for 30 min. Finally, the slides were counterstained with hematoxylin. The mean optical density (MOD) was analyzed using IPP6.0 (Image Pro Plus 6.0, Silver Spring, MD, USA)

In vivo tumor model

Animal experiments were performed to determine whether DKK2 inhibits tumor growth in vivo. Female BALB/c nude mice (aged 4-6 weeks, weighing 18-22 g) were purchased from the Experimental Animal Center of Chongqing Medical University (CQMU), China. This study was approved by ethics committee of CQMU. Stable DKK2-expressing MDA-MB-231 cells or control cells (3 × 106 cells in 0.1 mL PBS) were injected into the backs of female nude mice (n=6). Tumor diameter was measured every 3 days for 30 days. Tumor volume (mm3) = length × width2 × 0.52.

Terminal deoxynucleotidyl transferase (TUNEL) analyses

TUNEL assay was used to detect apoptotic cells in tumor xenograft tissues following our previously described procedures [41]. TUNEL apoptosis detection kit was provided by Roche (Roche Applied Science, Pleasanton, CA, USA). Images were captured by Leica LSM 400 laser scanning microscope (Leica), and the rate of apoptosis was quantified using Image Pro Plus software (Media Cybernetics).

Western blot

Western blot was performed as described previously [34]. A total of 40μg of protein lysates were separated by sodium dodecyl sulphate/polyacrylamide gel electrophoresis (SDS-PAGE) and then transferred onto a polyvinylidene difluoride (PVDF) membrane (Bio-Rad, Hercules, CA, USA). The primary antibodies were against: DKK2 (ab38594, Abcam), active β-catenin (#05-665; Merck Millipore, Billerica, MD, USA), total β-catenin (#2677; Cell Signaling Technology, Danvers, MA, USA), c-Myc (#1472-1; Epitomics, Cambridge, MA, USA), cyclin D1 (#1677-1; Epitomics), occludin (ab31721; Abcam), vimentin (#2707-1; Epitomics), Ecad (#1702-1; Epitomics), N-cadherin (ab98952;Abcam), and β-actin (LK-ab008-100; Liankebio, China), and GAPDH (#AE082046; Beijing Biosynthesis Biotechnology, Beijing, China) was used as a control. Proteins were visualized using an enhanced chemiluminescence kit (Amersham Pharmacia Biotech, Piscataway, NJ, USA).

Statistical analyses

Statistical analyses were performed with SPSS software, version16 (SPSS, Chicago, IL, USA). Student’s t-test, the x2 test, and Fisher’s exact test were used to compare methylation status and clinicopathological parameters [39]. For all tests, p < 0.05 was considered statistically significant.


All in all, our data demonstrated that DKK2 can inhibit breast carcinoma growth via suppressing Wnt/β-catenin signaling. Furthermore, the DKK2 promoter methylation status could be a potential tumor marker for early found of mammary carcinoma, or even offer a new therapeutic method for breast carcinoma.


DKK2, Dickkopf-related protein 2; LRP, LDL receptor-related proteins; MSP, methylation-specific PCR; AO/EB, acridine orange/ethidium bromide; HUVECs, human umbilical vein endothelial cells; EC, endothelial cells; TUNEL, Terminal deoxynucleotidyl transferase; Aza, 5-aza-2’-deoxycytidine; TSA, Trichostatin A; EMT, epithelial-mesenchymal transition.

Author contributions

TX, QT: conception and design of the study. JM, TH, BS, SL, QL, YZ, LL, ZD, LL: performed experiments and analyzed data; ZQ, JF, QX: collected samples. JM, LY: prepared figures and drafted the manuscript; GR: reviewed the manuscript; TX, LL, QT: finalized the manuscript. All authors reviewed and approved the final manuscript.


We thank Profs. Kathleen Kelly and Sun Young Rha for some cell lines.


The authors declare no conflicts of interest.


Supported by NSFC of China (#31420103915, #81372238, #81572769, #81572327) and VC special research funds from The Chinese University of Hong Kong.


Ethics approval and consent to participate

This research was approved by the Institutional Ethics Committees of the First Affiliated Hospital of Chongqing Medical University (#20130306), and conformed to the tenets of the Declaration of Helsinki.

Consent for publication

I confirm that this manuscript is original. If accepted, the article will not be published elsewhere in the same form, in any language, without the written consent of the publisher.

Availability of data and material

(Not applicable).


1. Hayward P, Kalmar T, Arias AM. Wnt/Notch signalling and information processing during development. Development. 2008; 135:411-424.

2. Ying Y, Tao Q. Epigenetic disruption of the WNT/beta-catenin signaling pathway in human cancers. Epigenetics. 2009; 4:307-312.

3. Watanabe O, Imamura H, Shimizu T, Kinoshita J, Okabe T, Hirano A, Yoshimatsu K, Konno S, Aiba M, Ogawa K. Expression of twist and wnt in human breast cancer. Anticancer research. 2004; 24:3851-3856.

4. Pukrop T, Klemm F, Hagemann T, Gradl D, Schulz M, Siemes S, Trumper L, Binder C. Wnt 5a signaling is critical for macrophage-induced invasion of breast cancer cell lines. Proceedings of the National Academy of Sciences of the United States of America. 2006; 103:5454-5459.

5. Chiang KC, Yeh CN, Chung LC, Feng TH, Sun CC, Chen MF, Jan YY, Yeh TS, Chen SC, Juang HH. WNT-1 inducible signaling pathway protein-1 enhances growth and tumorigenesis in human breast cancer. Scientific reports. 2015; 5:8686.

6. Chan SL, Cui Y, van Hasselt A, Li H, Srivastava G, Jin H, Ng KM, Wang Y, Lee KY, Tsao GS, Zhong S, Robertson KD, Rha SY, et al. The tumor suppressor Wnt inhibitory factor 1 is frequently methylated in nasopharyngeal and esophageal carcinomas. Laboratory investigation. 2007; 87:644-650.

7. Yu J, Tao Q, Cheng YY, Lee KY, Ng SS, Cheung KF, Tian L, Rha SY, Neumann U, Rocken C, Ebert MP, Chan FK, Sung JJ. Promoter methylation of the Wnt/beta-catenin signaling antagonist Dkk-3 is associated with poor survival in gastric cancer. Cancer. 2009; 115:49-60.

8. Ying J, Li H, Yu J, Ng KM, Poon FF, Wong SC, Chan AT, Sung JJ, Tao Q. WNT5A exhibits tumor-suppressive activity through antagonizing the Wnt/beta-catenin signaling, and is frequently methylated in colorectal cancer. Clinical cancer research. 2008; 14:55-61.

9. Li J, Ying J, Fan Y, Wu L, Ying Y, Chan AT, Srivastava G, Tao Q. WNT5A antagonizes WNT/beta-catenin signaling and is frequently silenced by promoter CpG methylation in esophageal squamous cell carcinoma. Cancer biology & therapy. 2010; 10:617-624.

10. Li L, Ying J, Li H, Zhang Y, Shu X, Fan Y, Tan J, Cao Y, Tsao SW, Srivastava G, Chan AT, Tao Q. The human cadherin 11 is a pro-apoptotic tumor suppressor modulating cell stemness through Wnt/beta-catenin signaling and silenced in common carcinomas. Oncogene. 2012; 31:3901-3912.

11. Krupnik VE, Sharp JD, Jiang C, Robison K, Chickering TW, Amaravadi L, Brown DE, Guyot D, Mays G, Leiby K, Chang B, Duong T, Goodearl AD, et al. Functional and structural diversity of the human Dickkopf gene family. Gene. 1999; 238:301-313.

12. Hauer K, Calzada-Wack J, Steiger K, Grunewald TG, Baumhoer D, Plehm S, Buch T, Prazeres da Costa O, Esposito I, Burdach S, Richter GH. DKK2 mediates osteolysis, invasiveness, and metastatic spread in Ewing sarcoma. Cancer research. 2013; 73:967-977.

13. Hirata H, Hinoda Y, Nakajima K, Kawamoto K, Kikuno N, Kawakami K, Yamamura S, Ueno K, Majid S, Saini S, Ishii N, Dahiya R. Wnt antagonist gene DKK2 is epigenetically silenced and inhibits renal cancer progression through apoptotic and cell cycle pathways. Clinical cancer research. 2009; 15:5678-5687.

14. Zhu J, Zhang S, Gu L, Di W. Epigenetic silencing of DKK2 and Wnt signal pathway components in human ovarian carcinoma. Carcinogenesis. 2012; 33:2334-2343.

15. Xiang T, Li L, Yin X, Zhong L, Peng W, Qiu Z, Ren G, Tao Q. Epigenetic silencing of the WNT antagonist Dickkopf 3 disrupts normal Wnt/beta-catenin signalling and apoptosis regulation in breast cancer cells. J Cell Mol Med. 2013; 17:1236-1246.

16. Jezequel P, Frenel JS, Campion L, Guerin-Charbonnel C, Gouraud W, Ricolleau G, Campone M. bc-GenExMiner 3.0: new mining module computes breast cancer gene expression correlation analyses. Database. 2013; 2013:bas060.

17. Jezequel P, Campone M, Gouraud W, Guerin-Charbonnel C, Leux C, Ricolleau G, Campion L. bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer. Breast cancer research and treatment. 2012; 131:765-775.

18. Ai L, Tao Q, Zhong S, Fields CR, Kim WJ, Lee MW, Cui Y, Brown KD, Robertson KD. Inactivation of Wnt inhibitory factor-1 (WIF1) expression by epigenetic silencing is a common event in breast cancer. Carcinogenesis. 2006; 27:1341-1348.

19. Veeck J, Niederacher D, An H, Klopocki E, Wiesmann F, Betz B, Galm O, Camara O, Durst M, Kristiansen G, Huszka C, Knuchel R, Dahl E. Aberrant methylation of the Wnt antagonist SFRP1 in breast cancer is associated with unfavourable prognosis. Oncogene. 2006; 25:3479-3488.

20. Veeck J, Noetzel E, Bektas N, Jost E, Hartmann A, Knuchel R, Dahl E. Promoter hypermethylation of the SFRP2 gene is a high-frequent alteration and tumor-specific epigenetic marker in human breast cancer. Mol Cancer. 2008; 7:83.

21. Veeck J, Geisler C, Noetzel E, Alkaya S, Hartmann A, Knuchel R, Dahl E. Epigenetic inactivation of the secreted frizzled-related protein-5 (SFRP5) gene in human breast cancer is associated with unfavorable prognosis. Carcinogenesis. 2008; 29:991-998.

22. Suzuki H, Toyota M, Carraway H, Gabrielson E, Ohmura T, Fujikane T, Nishikawa N, Sogabe Y, Nojima M, Sonoda T, Mori M, Hirata K, Imai K, et al. Frequent epigenetic inactivation of Wnt antagonist genes in breast cancer. British journal of cancer. 2008; 98:1147-1156.

23. Zerlin M, Julius MA, Kitajewski J. Wnt/Frizzled signaling in angiogenesis. Angiogenesis. 2008; 11:63-69.

24. Lobov IB, Rao S, Carroll TJ, Vallance JE, Ito M, Ondr JK, Kurup S, Glass DA, Patel MS, Shu W, Morrisey EE, McMahon AP, Karsenty G, Lang RA. WNT7b mediates macrophage-induced programmed cell death in patterning of the vasculature. Nature. 2005; 437:417-421.

25. Franco CA, Liebner S, Gerhardt H. Vascular morphogenesis: a Wnt for every vessel? Curr Opin Genet Dev. 2009; 19:476-483.

26. Goodwin AM, Kitajewski J, D'Amore PA. Wnt1 and Wnt5a affect endothelial proliferation and capillary length; Wnt2 does not. Growth Factors. 2007; 25:25-32.

27. Muley A, Majumder S, Kolluru GK, Parkinson S, Viola H, Hool L, Arfuso F, Ganss R, Dharmarajan A, Chatterjee S. Secreted frizzled-related protein 4: an angiogenesis inhibitor. The American journal of pathology. 2010; 176:1505-1516.

28. Hu J, Dong A, Fernandez-Ruiz V, Shan J, Kawa M, Martinez-Anso E, Prieto J, Qian C. Blockade of Wnt signaling inhibits angiogenesis and tumor growth in hepatocellular carcinoma. Cancer Res. 2009; 69:6951-6959.

29. Zhang B, Ma JX. Wnt pathway antagonists and angiogenesis. Protein Cell. 2010; 1:898-906.

30. Cheng CW, Smith SK, Charnock-Jones DS. Wnt-1 signaling inhibits human umbilical vein endothelial cell proliferation and alters cell morphology. Exp Cell Res. 2003; 291:415-425.

31. Min JK, Park H, Choi HJ, Kim Y, Pyun BJ, Agrawal V, Song BW, Jeon J, Maeng YS, Rho SS, Shim S, Chai JH, Koo BK, et al. The WNT antagonist Dickkopf2 promotes angiogenesis in rodent and human endothelial cells. J Clin Invest. 2011; 121:1882-1893.

32. Xiang T, Li L, Yin X, Yuan C, Tan C, Su X, Xiong L, Putti TC, Oberst M, Kelly K, Ren G, Tao Q. The ubiquitin peptidase UCHL1 induces G0/G1 cell cycle arrest and apoptosis through stabilizing p53 and is frequently silenced in breast cancer. PloS one. 2012; 7:e29783.

33. Wang Y, Li J, Cui Y, Li T, Ng KM, Geng H, Li H, Shu XS, Li H, Liu W, Luo B, Zhang Q, Mok TS, et al. CMTM3, located at the critical tumor suppressor locus 16q22.1, is silenced by CpG methylation in carcinomas and inhibits tumor cell growth through inducing apoptosis. Cancer research. 2009; 69:5194-5201.

34. Yin X, Xiang T, Li L, Su X, Shu X, Luo X, Huang J, Yuan Y, Peng W, Oberst M, Kelly K, Ren G, Tao Q. DACT1, an antagonist to Wnt/beta-catenin signaling, suppresses tumor cell growth and is frequently silenced in breast cancer. Breast cancer research. 2013; 15:R23.

35. Xiang T, Li L, Fan Y, Jiang Y, Ying Y, Putti TC, Tao Q, Ren G. PLCD1 is a functional tumor suppressor inducing G(2)/M arrest and frequently methylated in breast cancer. Cancer biology & therapy. 2010; 10:520-527.

36. Ying J, Li H, Seng TJ, Langford C, Srivastava G, Tsao SW, Putti T, Murray P, Chan AT, Tao Q. Functional epigenetics identifies a protocadherin PCDH10 as a candidate tumor suppressor for nasopharyngeal, esophageal and multiple other carcinomas with frequent methylation. Oncogene. 2006; 25:1070-1080.

37. Tao Q, Huang H, Geiman TM, Lim CY, Fu L, Qiu GH, Robertson KD. Defective de novo methylation of viral and cellular DNA sequences in ICF syndrome cells. Human molecular genetics. 2002; 11:2091-2102.

38. Tao Q, Swinnen LJ, Yang J, Srivastava G, Robertson KD, Ambinder RF. Methylation status of the Epstein-Barr virus major latent promoter C in iatrogenic B cell lymphoproliferative disease. Application of PCR-based analysis. The American journal of pathology. 1999; 155:619-625.

39. Xiao Y, Xiang T, Luo X, Li C, Li Q, Peng W, Li L, Li S, Wang Z, Tang L, Ren G, Tao Q. Zinc-Finger Protein 545 Inhibits Cell Proliferation as a Tumor Suppressor through Inducing Apoptosis and is Disrupted by Promoter Methylation in Breast Cancer. PLoS One. 2014; 9:e110990.

40. Hu XT, Zhang FB, Fan YC, Shu XS, Wong AH, Zhou W, Shi QL, Tang HM, Fu L, Guan XY, Rha SY, Tao Q, He C. Phospholipase C delta 1 is a novel 3p22.3 tumor suppressor involved in cytoskeleton organization, with its epigenetic silencing correlated with high-stage gastric cancer. Oncogene. 2009; 28:2466-2475.

41. Mu H, Wang N, Zhao L, Li S, Li Q, Chen L, Luo X, Qiu Z, Li L, Ren G, Xu Y, Zhou X, Xiang T. Methylation of PLCD1 and adenovirus-mediated PLCD1 overexpression elicits a gene therapy effect on human breast cancer. Exp Cell Res. 2015; 332:179-189.

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