Abstract
Dishevelled-associated activator of morphogenesis 1 (DAAM1) is a critical driver in facilitating metastasis in breast cancer (BrCa). However, molecular mechanisms for the regulation of DAAM1 activation are only partially elucidated. In this research, the expression levels of YWHAZ and DAAM1 were examined by immunohistochemistry (IHC) staining in BrCa tissues. The functional roles of tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta (YWHAZ)–DAAM1 axis and their regulator microRNA-613 (miR-613) in BrCa cells and associated molecular mechanisms were demonstrated in vitro. As results, the expression levels of DAAM1 and YWHAZ were significantly upregulated in BrCa tissues compared with normal tissues and remarkably associated with poor prognosis. Besides, DAAM1 and YWHAZ were positively correlated with each other in BrCa tissues. YWHAZ interacted and colocalized with DAAM1 in BrCa cells, which was essential for DAAM1-mediated microfilament remodeling and RhoA activation. Moreover, miR-613 directly targeted both YWHAZ and DAAM1, contributing to inhibiting BrCa cells migration via blocking the complex of YWHAZ–DAAM1. To sum up, these data reveal that YWHAZ regulates DAAM1 activation, and the YWHAZ–DAAM1 complex is directly targeted by the shared post-transcriptional regulator miR-613.
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Introduction
Breast cancer (BrCa) is the most commonly diagnosed malignant neoplasm in females, which has surpassed lung cancer with an estimated 2.3 million new cases in the past year [1]. It has been proved that both environmental and genetic threats contribute to the tumorigenesis of BrCa [2]. However, there is plenty of evidence to support that genetic factors are more directly related to the oncogenesis of cancer. For example, an unconventionally high prevalence of mutations in BRCA1 and BRCA2 (approximately 1–2.5%) among women of Ashkenazi Jewish partially accounts for the high incidence of BrCa in Israel and certain European populations [3]. In clinical practice, BrCa is a heterogeneous disease that contains a wide range of malignancies varying in molecular etiology, cellular biology, imaging appearance, and clinical manifestation [4, 5]. Benefit from earlier screening and enhancement of therapeutic strategies, the prognosis of BrCa patients is significantly improved [6]. However, patients with advanced BrCa accompanied with metastasis still face a risk of death [7]. Thus, control and management of metastasis is the key to improve the prognosis of BrCa patients.
Dishevelled-associated activator of morphogenesis 1 (DAAM1) is a classical actin-associated protein and mediates the polymerization of microfilament, regulating vertebrate gastrulation and cancer metastasis [8, 9]. Previously, we conducted a series of studies on the role of DAAM1 in tumors. DAAM1 is a responder of Wnt5a and collagen IV in the cellular microenvironment, which in turn enhances the activity of RhoA, promoting the invasiveness of BrCa cells [10, 11]. As established regulators, microRNA (miRNA) plays an important role in regulating the expression and function of DAAM1. Studies have shown that miR-208a-5p, miR-34a-5p, and miR-188-5p notably inhibit DAAM1 expression and participate in tumor suppression [12,13,14,15]. Besides, the function of DAAM1 is mediated by multiple regulators. Under the action of the secreted Wnt5a, Dishevelled protein competitively binds to the DAD domain of DAAM1 and then the GBD domain is exposed. The naked GBD domain can activate the RhoA and regulate the remodeling of microfilaments [16]. The latest study found that tyrosine phosphorylation at the site of 652 in DAAM1 protein is critical to its molecular function, and the phosphorylation of DAAM1 mediated by the oncogene SRC enhances the invasiveness of lung cancer cells [17].
In the current research, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta (YWHAZ) was identified as a novel partner of DAAM1, which is essential for the molecular functions of DAAM1. Besides, the interaction of YWHAZ–DAAM1 could be blocked by tumor suppressor miR-613. To sum up, the established miR-613/YWHAZ/DAAM1 axis plays a crucial role in cancer progression, which may be a target to reduce the migration of BrCa cells.
Results
DAAM1 and YWHAZ are positively correlated in BrCa
DAAM1 and YWHAZ are both critical drivers in facilitating BrCa metastasis, but the association between DAAM1 and YWHAZ has not been explored. Immunohistochemistry (IHC) staining was performed to examined DAAM1 and YWHAZ expression. As shown in Fig. 1A, the location of DAAM1 and YWHAZ was mainly in the cytoplasm. Besides, compared with para-tumor tissues, the expression levels of DAAM1 and YWHAZ were both upregulated in BrCa tissues (Fig. 1B), which was in accord with previous research [18, 19]. Interestingly, the expression levels of DAAM1 and YWHAZ were positively correlated in the current patients’ cohort (Fig. 1C). To further validate this result, we downloaded the large-scale RNA-seq data from the TGCA and CCLE datasets, and the result showed that DAAM1 was positively correlated with YWHAZ expression in both the TCGA and CCLE datasets (Fig. 1D, E). Moreover, the positive correlation of DAAM1 and YWHAZ was observed not only in BrCa tissues but in most tumor and normal tissues (Tables 1 and 2).
Whereafter, we tried to evaluate the clinical significance of DAAM1 and YWHAZ expression in BrCa. Regrettably, as shown in Table 3, DAAM1 expression was not associated with any clinic-pathological features, but overexpression of YWHAZ was correlated with positive ER, PR, and HER2 status in the current cohort (Table 3). Besides, survival analysis using the large-scale data from the Kaplan–Meier Plotter website indicated that BrCa patients with high expression of DAAM1 or YWHAZ showed shorter overall survival (OS) than those with low expression (Fig. 1F, G). Moreover, co-high DAAM1 and YWHAZ exerted the shortest OS in BrCa (Fig. 1H). Overall, the DAAM1 and YWHAZ are positively correlated with each other and associated with poor prognosis in BrCa.
YWHAZ interacts with DAAM1
In view of the positive correlation of DAAM1 and YWHAZ, we speculated that YWHAZ could interact with DAAM1. To test this hypothesis, we investigated the physical interaction between DAAM1 and YWHAZ. At first, we constructed full-length DAAM1 and YWHAZ constructs and validated the expression efficiency of the indicated proteins by western blotting in MCF-7 and MDA-MB-231 cells (Fig. 2A, B). MCF-7 and MDA-MB-231 cells expressing endogenous FLAG-DAAM1 and GFP-YWHAZ were lysed, and cell lysates were immunoprecipitated with anti-FLAG or anti-GFP antibodies, followed by immunoblotting. The result suggested that DAAM1 interacted with YWHAZ in BrCa cells (Fig. 2C, D). YWHA proteins have been known to bind to phosphorylated sites of partners [20, 21], and tyrosine phosphorylation at the site of 652 in DAAM1 protein is essential for its function [22]. However, the DAAM1-Y652F and full-length YWHAZ constructs were transfected, the interaction between DAAM1 and YWHAZ was not blocked (Fig. S1). Moreover, immunofluorescence analysis uncovered that DAAM1 and YWHAZ were mainly located in the cytoplasm in both MCF-7 and MDA-MB-231 cells (Fig. 2E). In conclusion, YWHAZ remarkably interacts with DAAM1 in BrCa.
YWHAZ is essential for BrCa cells migration and the function of DAAM1
Next, siRNA-mediated inhibition of YWHAZ expression was conducted to assess the role of YWHAZ in the migratory capacity of MCF-7 and MDA-MB-231 cells and its effect on the function of DAAM1. First of all, the silencing efficiency of YWHAZ in BrCa cells was confirmed by real-time quantitative reverse transcription PCR (qRT-PCR) and western blotting, respectively (Fig. S2A, B). However, YWHAZ silencing did not change DAAM1 expression and intracellular location (Figs. S3 and Fig. S4). Thus, we speculated YWHAZ silencing only inhibited DAAM1 activation. Compared with the control cells, YWHAZ knockdown MCF-7 and MDA-MB-231 cells showed attenuated migratory capacity revealed by wound-healing assay, and ∆DAD-DAAM1 could reverse the inhibition of migration (Fig. 3A, B). Besides, Boyden chamber assay also was performed using MDA-MB-231 cells and siRNA-transfected cells exhibited decreased migratory capacity, which was reversed by ∆DAD-DAAM1 (Fig. 3C). Considering the binding of YWHAZ and DAAM1, the effect of YWHAZ knockdown on molecular functions of DAAM1 was explored as well. According to previous reports, DAAM1 mediates actin assemblage via modulating RhoA activation through directly recruiting guanine nucleotide exchange factors [23, 24]. YWHAZ knockdown obviously blocked the microfilament formation in MDA-MB-231 cells, and ∆DAD-DAAM1 could repair microfilament damage (Fig. 3D–F). Besides, the activation of RhoA was also inhibited due to YWHAZ knockdown, which was partly reversed by ∆DAD-DAAM1 (Fig. 3G). Collectively, the findings suggest that YWHAZ is essential for the migration of BrCa cells via regulating DAAM1/RhoA signaling.
MiR-613 negatively regulates YWHAZ and DAAM1
Given the positive correlation of DAAM1 and YWHAZ, we speculated that shared regulatory factors may collectively mediate their expression. MiRNA is a type of classical post-transcriptional regulator that downregulates target genes by binding to 3′ untranslated region (3′-UTR). To explore potential miRNAs that targeted both YWHAZ and DAAM1, the TargetScan 7.1 and miRDB tools were used to predict corresponding miRNAs. Consequently, three miRNAs were predicted as collective regulators for YWHAZ and DAAM1, namely miR-613, miR-1-3p, and miR-206 (Fig. 4A). A conserved binding region was predicted to exist in the 3′-UTR of YWHAZ and DAAM1 (Fig. 4B). We next selected miR-613 for further validation. Compared with mammary epithelial cells, MiR-613 was downregulated in BrCa cells, especially in aggressive MDA-MB-231 cells (Fig. S5). Then, miR-613 mimic was transfected into BrCa cells and its effect on YWHAZ and DAAM1 expression was examined. The transfection efficiency of miR-613 mimics overexpression in BrCa cells was confirmed by qPCR (Fig. S6). Notably, miR-613 remarkably inhibited YWHAZ and DAAM1 expression at both mRNA and protein levels (Fig. 4C–F). Taken together, these results show that miR-613 directly targets YWHAZ and DAAM1 and downregulates their expression.
MiR-613 inhibits BrCa cells migration and RhoA activation
We further assessed the role of miR-613 on the migration of BrCa cells. Wound healing and Boyden chamber assays uncovered that miR-613 overexpression suppressed the migratory ability of MCF-7 and MDA-MB-231 cells, and ∆DAD-DAAM1 could reverse miR-613-mediated inhibition of migration (Fig. 5A–C). Besides, whether miR-613 inhibited the formation of microfilaments and the activation of RhoA was investigated. Fluorescent phalloidin was stained to display the arrangement of microfilaments in MDA-MB-231 cells and miR-613 largely disturbed the microfilament assemblage in BrCa cells, and ∆DAD-DAAM1 could repair miR-613-mediated microfilament damage (Fig. 5D–F). Similarly, miR-613 overexpression obviously suppressed RhoA activation, which was partly reversed by ∆DAD-DAAM1 (Fig. 5G). Thus, these results suggest that miR-613 suppresses cell migration via downregulating DAAM1/RhoA axis in BrCa cells.
Discussion
DAAM1 is a formin-like protein participating in the modulation of actin cytoskeletal rearrangement. Previous studies report that DAAM1 mediates the migration of multiple cancer cells via Rho signaling pathways, including BrCa cells [11], glioblastoma cells [25], melanoma cells [9], ovarian cancer cells [14], esophageal squamous cell carcinoma cells [26], and osteosarcoma cells [27]. Besides, the tyrosine phosphorylation of DAAM1 modulates its homodimer formation and actin polymerization, which is essential for lung cancer invasiveness [17]. Besides, DAAM1 is found to be upregulated in CD133 + cancer stem cells, suggesting its critical role in the maintenance of tumor cell stemness [28]. In this research, we validated that DAAM1 was upregulated in BrCa tissues and associated with poor prognosis, which was in accordance with previous observation with a small size of samples [18].
As a novel partner of DAAM1, YWHAZ has been demonstrated to highly express in BrCa tissues and regulate the malignant phenotypes of tumor cells [19, 29]. Overexpression of YWHAZ is proved to be an independent prognostic biomarker for shorter disease-free survival and knockdown of YWHAZ expression by siRNA in BrCa cells significantly inhibits the tumor progression in vitro and in vivo [30]. Besides, YWHAZ is involved in the modulation of stress fibers and focal adhesion in trabecular meshwork cells through regulating the RhoA signaling pathway [31]. Here, we reported that YWHAZ interacted with DAAM1 and highly correlated with DAAM1 expression in BrCa tissues. The known biological functions of DAAM1 mainly depend on mediating the formation of microfilaments through directly regulating the activation of RhoA, which has also been confirmed in BrCa [11, 23, 24]. Importantly, YWHAZ silencing suppressed DAAM1-mediated RhoA activation, explaining the influence of YWHAZ on the microfilament system at least to a certain extent. Tyrosine phosphorylation at the site of 652 in DAAM1 protein has been reported to be essential for its function [17]. However, when the DAAM1-Y652F and full-length YWHAZ constructs were transfected, the interaction between DAAM1 and YWHAZ was not interrupted, suggesting that other tyrosine sites were existing in DAAM1 protein, which might interact with YWHAZ.
Being a hotspot for a long time, many miRNAs have been reported to involve in regulating the oncogenesis and progression of human cancers [32,33,34]. MiR-613 has been identified as a significant suppressor in multiple cancers, including gastric cancer [35], bladder cancer [36], and BrCa [37]. In BrCa, a penal of targets of miR-613 has been identified, including FAM83A [37], CDK12 [38], and HK2 [39]. YWHAZ has been identified as the target gene of miR-613 in hepatocellular carcinoma [40]. Besides, in our previous research, DAAM1 was also identified as the target gene of miR-613 in triple-negative BrCa [41]. In this report, we uncovered that the complex of YWHAZ and DAAM1 was blocked by miR-613 in BrCa cells, considering that luciferase reporter gene assay has been conducted in HEK-293T cells previously [40, 41]; thus, we did not perform this assay in this research. In addition, miR-613 suppressed the migration and the formation of microfilaments of BrCa cells. Whatever, the current research extended the binding relationship between miR-613 and YWHAZ/DAAM1 to BrCa, particularly ER/PR + BrCa. However, we could not collect fresh BrCa tissue; thus, the expression level of miR-613 was not examined.
These results manifest that YWHAZ and DAAM1 are upregulated in BrCa tissues compared with normal tissues. Besides, YWHAZ is a novel partner of DAAM1 and essential for the molecular function of DAAM1. In addition, the interaction of YWHAZ and DAAM1 is blocked by miR-613. To sum up, these data suggest miR-613/YWHAZ/DAAM1 axis as a novel target in controlling the migration of BrCa cells (Fig. 6).
Materials and methods
Antibodies, plasmids, and reagents
Rabbit polyclonal antibodies against DAAM1 (Cat no. 14879-1-AP), YWHAZ (Cat no. 14881-1-AP), FLAG (Cat no. 20543-1-AP), GFP (Cat no. 50430-2-AP), and β-actin (Cat no. 20536-1-AP) were purchased from ProteinTech (Wuhan, China). Mouse monoclonal antibody against YWHAZ (Cat no. sc-518031) was purchased from Santa Cruz (Dallas, USA). FLAG-full-DAAM1 subcloned into the pcDNA 3.1-FLAG vector has been described previously [42]. FLAG-DAAM1-Y652F vector was generally gifted by Dr. Guang-Chao Chen (National Taiwan University). GFP-tagged YWHAZ were was generated by subcloning YWHAZ into the pEGFP-C2 vector. Constitutive active DAAM1 (∆DAD-DAAM1) was described previously [11]. The purity of all fusion proteins was evaluated by western blotting analysis. The sequence for siRNA-YWHAZ was obtained from a previous report [30]. Small interfering RNA (siRNA) for YWHAZ, negative control, and miR-613 mimics were synthesized by KeyGEN BioTECH (Nanjing, China).
Tissue microarray
The BrCa tissue microarray section (HBreD090Bc02) was purchased from OutDo BioTECH (Shanghai, China). This section contained 85 BrCa and 5 adjacent normal samples. Relevant records of clinicopathological features were provided by OutDo BioTECH as well. Ethical approval for the usage of the tissue microarray was granted by the Clinical Research Ethics Committee, OutDo BioTECH.
Immunohistochemistry
IHC staining was performed on the tissue microarray sections. These sections were deparaffinized at 55 ˚C for 30 min, and then washed with xylene for 5 min three times. These sections were rehydrated by successive washes in 100%, 90%, and 70% graded ethanol. Hydrogen peroxidase (0.3%, ZSGB-Bio, Beijing, China) was applied to intercept endogenous peroxidase activity for 20 min. The primary antibodies used in IHC staining were as follows: anti-DAAM1 (1:8000 dilution, Cat no. 14879-1-AP, ProteinTech), anti-YWHAZ (1:3000 dilution, Cat no. 14881-1-AP, ProteinTech), followed by incubation with the corresponding secondary antibodies at room temperature (RT) for 30 min. Immunostained sections were scanned using Aperio Digital Pathology Slide Scanners. The semi-quantitative criterion of evaluating protein levels was described previously [12].
Cell culture and transfection
MCF-10A and HBL100 mammary epithelial cells, MDA-MB-231 (ER/PR/HER2−) and MCF-7 (ER/PR+) BrCa cells, and HEK-293T cell lines were obtained from the Cell Bank of Chinese Academy of Sciences (Shanghai, China). HBL100, MDA-MB-231, MCF-7, and HEK-293T cells were maintained in high glucose DMEM medium (Hyclone, Thermo Scientific, Waltham, USA) supplemented with 10% fetal bovine serum (Hyclone) at 37 °C with 5% CO2. MCF-10A cells were cultured in DMEM/F12 media supplemented with 5% (v/v) horse serum, 20 ng/mL human EGF, 10 μg/mL insulin, 0.5 μg/mL hydrocortisone, penicillin, streptomycin, and 100 ng/mL cholera toxin (Sigma-Aldrich, St. Louis, MO). All cell lines were verified monthly to be mycoplasma negative.
For gene knockdown or overexpression, siRNA, plasmid, miR-613, and negative controls were transfected into MCF-7, MDA-MD-231, or HEK-293T cells using Lipofectamine 2000 according to the manufacturer’s instructions. Transfection efficiency was assessed after 24 h by examining mRNA and protein levels using qRT-PCR and/or western blotting.
Quantitative real‑time PCR
TRizol reagent (Thermo Fisher Scientific, Waltham, USA) was applied to extract total RNA from BrCa cells. All standardized steps of qRT-PCR were described as previously [12]. The mRNA levels were normalized to the levels of GAPDH. To detect the miR-613 expression level, a total of 1 μg miRNAs were reverse transcripted with Bulge-LoopTM miRNA qRT-PCR Primer Set (Ribobio, Guangzhou, China) and the miR-613 expression was detected with SYBR® Premix Ex Taq™ (TaKaRa, Tokyo, Japan). Primers for miR-613 and U6 snRNA were purchased from Ribobio.
The primers used for gene amplification were as follows: DAAM1: 5′-AAATTGAAACGGAATCGCAAAC-3′ (forward), DAAM1: 5′-GCAAGGCAGTGTAATGAAACG-3′ (reverse); YWHAZ: 5′-TGTAGGAGCCCGTAGGTCATC-3′ (forward), YWHAZ: 5′-GTGAAGCATTGGGGATCAAGA-3′ (reverse); GAPDH: 5′-AGATCATCAGCAATGCCTCCT-3′ (forward), 5′-TGAGTCCTTCCACGATACCAA-3′ (reverse).
Western blotting analysis
BrCa cells were seeded in 35-mm dishes (6 × 105 cells/dish) and transfected with synthesized siRNA, plasmid, miRNA, or negative control. Forty-eight hours after transfection, total proteins of BrCa cells were harvested using lysis buffer. SDS-polyacrylamide gel electrophoresis and western blotting analysis were next conducted according to the standard protocols. The primary antibodies for FLAG (1:1000 dilution, Cat no. 20543-1-AP, ProteinTech), GFP (1:1000 dilution, Cat no. 50430-2-AP, ProteinTech), YWHAZ (1:1000 dilution, Cat no. 14881-1-AP, ProteinTech), DAAM1 (1:1000 dilution, Cat no. 14879-1-AP, ProteinTech), and β-actin (1:5000 dilution, Cat no. 20536-1-AP, ProteinTech) were applied. Protein levels were standardized to β-actin for each sample.
Co-immunoprecipitation
The co-immunoprecipitation assay was conducted in standardized steps. Briefly, the cells were washed with ice-cold PBS, lysed in NP-40 buffer containing cocktail, and then centrifuged for 10 min at 12,000 r.p.m. and 4 °C. Primary antibodies or normal rabbit IgG were added to the cell lysate and incubated at 4 °C overnight. The primary antibodies were as follows: anti-FLAG (2 μg, Cat no. 20543-1-AP, ProteinTech) and anti-GFP (2 μg, Cat no. 50430-2-AP, ProteinTech). Then, 15 μL of protein A/G agarose beads was added to each tube, incubated at RT for 3 h, and centrifuged for 3 min at 4000 r.p.m. at 4 °C. A total of 30 μL of 2× SDS-loading buffer was added to the antigen–antibody–protein A/G agarose bead complex, which was boiled for 10 min. The sample was collected for subsequent SDS-polyacrylamide gel electrophoresis and western blotting.
Bioinformatics analysis
The RNA-sequencing (RNA-seq) data of YWHAZ and DAAM1 in the Cancer Genome Atlas (TCGA) BrCa dataset and survival information were obtained from the Xena website (https://xenabrowser.net/). The gene expression data of YWHAZ and DAAM1 in a panel of BrCa cells were downloaded from the CCLE dataset (https://portals.broadinstitute.org/ccle/). The correlations of YWHAZ and DAAM1 expression in the TCGA and Genotype-Tissue Expression (GTEx) datasets were examined in the ChIPBase v2.0 website (http://rna.sysu.edu.cn/chipbase/) [43]. The prognostic values of YWHAZ and DAAM1 expression in BrCa were examined by the Kaplan–Meier Plotter website (http://kmplot.com/analysis/) [44]. The corresponding miRNAs targeting YWHAZ and DAAM1 were predicted by the TargetScan 7.1 (http://www.targetscan.org/vert_71/) [45] and the miRDB (http://www.mirdb.org/index.html) [46] tools.
Wound-healing assay
To check migratory capacity, BrCa cells were seeded in 24-well plates (Costar, Corning, NY) and cultured to confluence. The monolayers of cell were wounded by removing the culture insert and washed with PBS to remove cell debris. After 24 h, cells were stained with 0.2% crystal violet for 20 min in RT. The images were photographed at times 0 and 24 h after migration using a Nikon optics microscope conjugated with PowerShot G10 camera (Canon, Tokyo, Japan). The migratory distance was calculated by the minus of the edge of the wound closure between 0 and 24 h.
Boyden chamber assays
The migratory capacity of MDA-MB-231 cells was further examined in the Boyden chamber (Cat no. 3422, Costar, Corning, NY). The detailed protocol was described as previously [25].
Immunofluorescence
Coverslips were immersed in a cell medium to allow cells to attach and grow, and then they were washed with PBS three times for 5 min each time. Paraformaldehyde (4%) was applied to fix the cells on the coverslips for 15 min at RT. The coverslips were washed with PBS three times for 3 min each time. Then, the coverslips were incubated with PBS containing 0.5% Triton X-100 for 5 min. Next, the cells were blocked using 5% skim milk for 1 h, after which anti-DAAM1 antibody (1:100 dilution, Cat no. 14879-1-AP, ProteinTech) and anti-YWHAZ antibody (1:100 dilution, Cat no. sc-518031, Santa Cruz) were added. After incubation overnight at 4 °C, the coverslips were washed with PBS once and incubated with corresponding second antibodies (Goat anti-mouse IgG-FITC, Goat anti-rabbit IgG-TRITC, 1:100 dilution, KeyGEN BioTECH) at RT for 1 h. Next, the coverslips were washed with PBS and stained using DAPI. After washing with PBS, the coverslips were sealed with ProLong™ Live Antifade Reagent (Cat no. P36974, Thermo Fisher, USA). Besides, the detailed protocol for actin cytoskeleton staining was described previously [41]. The images were acquired using a laser scanning confocal microscope.
RhoA GTPase activation assays
Total protein lysates extracted from BrCa cells turned measure RhoA activity by using RhoA GTPase activation assays (Cat no. BK121, Cytoskeleton, Denver, USA). The detailed protocol for detection of RhoA activation was described previously [10].
Statistical analysis
All statistical analyses were conducted using SPSS 25.0 or GraphPad Prism 8.0. Most of the data were presented as means ± SDs of three independent experiments if not noted and analyzed by Student’s t-test. The associations between DAAM1 and YWHAZ expression levels and clinicopathological features were performed using Pearson’s chi-squared test. The correlation between the two indicators was evaluated by Pearson correlation analysis. Log-rank test was conducted to evaluate the difference between the survival curves. Independent prognostic values of DAAM1 and YWHAZ were analyzed by univariate and multivariate Cox analysis. All tests were two-sided performed by SPSS software and P ≤ 0.05 was considered statistically significant labeled with * for P ≤ 0.05, ** for P ≤ 0.01 and *** for P ≤ 0.001.
Data availability
All the data used during the study are available from the corresponding author on request.
References
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71:209–49.
Garcia-Closas M, Gunsoy NB, Chatterjee N. Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer. J Natl Cancer Inst. 2014;106:dju305.
Metcalfe KA, Poll A, Royer R, Llacuachaqui M, Tulman A, Sun P, et al. Screening for founder mutations in BRCA1 and BRCA2 in unselected Jewish women. J Clin Oncol. 2010;28:387–91.
Budzik MP, Patera J, Sobol M, Czerw AI, Deptała A, Badowska-Kozakiewicz AM. Clinicopathological characteristics of metaplastic breast cancer—analysis of the basic immunohistochemical profile and comparison with other invasive breast cancer types. Breast. 2019;43:135–41.
Reddy TP, Rosato RR, Li X, Moulder S, Piwnica-Worms H, Chang JC. A comprehensive overview of metaplastic breast cancer: clinical features and molecular aberrations. Breast Cancer Res. 2020;22:121.
Spronk I, Schellevis FG, Burgers JS, Bock GH, Korevaar JC. Incidence of isolated local breast cancer recurrence and contralateral breast cancer: a systematic review. Breast. 2018;39:70–79.
Bailleux C, Eberst L, Bachelot T. Treatment strategies for breast cancer brain metastases. Br J Cancer. 2021;124:142–55.
Habas R, Kato Y, He X. Wnt/Frizzled activation of Rho regulates vertebrate gastrulation and requires a novel Formin homology protein Daam1. Cell. 2001;107:843–54.
Rodriguez-Hernandez I, Maiques O, Kohlhammer L, Cantelli G, Perdrix-Rosell A, Monger J, et al. WNT11-FZD7-DAAM1 signalling supports tumour initiating abilities and melanoma amoeboid invasion. Nat Commun. 2020;11:5315.
Yan T, Zhang A, Shi F, Chang F, Mei J, Liu Y, et al. Integrin alphavbeta3-associated DAAM1 is essential for collagen-induced invadopodia extension and cell haptotaxis in breast cancer cells. J Biol Chem. 2018;293:10172–85.
Zhu Y, Tian Y, Du J, Hu Z, Yang L, Liu J, et al. Dvl2-dependent activation of Daam1 and RhoA regulates Wnt5a-induced breast cancer cell migration. PLoS ONE. 2012;7:e37823.
Mei J, Yan T, Huang Y, Xia T, Chang F, Shen S, et al. A DAAM1 3’-UTR SNP mutation regulates breast cancer metastasis through affecting miR-208a-5p-DAAM1-RhoA axis. Cancer Cell Int. 2019;19:55.
Ma E, Wang Q, Li J, Zhang X, Guo Z, Yang X. LINC01006 facilitates cell proliferation, migration and invasion in prostate cancer through targeting miR-34a-5p to up-regulate DAAM1. Cancer Cell Int. 2020;20:515.
Mei J, Huang Y, Hao L, Liu Y, Yan T, Qiu T, et al. DAAM1-mediated migration and invasion of ovarian cancer cells are suppressed by miR-208a-5p. Pathol Res Pract. 2019;215:152452.
Wang T, Liang D & Yang H. SNHG15 facilitated malignant behaviors of oral squamous cell carcinoma through targeting miR-188-5p/DAAM1. J Oral Pathol Med. 2021. https://doi.org/10.1111/jop.13169.
Liu W, Sato A, Khadka D, Bharti R, Diaz H, Runnels LW, et al. Mechanism of activation of the Formin protein Daam1. Proc Natl Acad Sci USA. 2008;105:210–5.
Li MY, Peng WH, Wu CH, Chang YM, Lin YL, Chang GD, et al. PTPN3 suppresses lung cancer cell invasiveness by counteracting Src-mediated DAAM1 activation and actin polymerization. Oncogene. 2019;38:7002–16.
Mei J, Xu B, Hao L, Xiao Z, Liu Y, Yan T, et al. Overexpressed DAAM1 correlates with metastasis and predicts poor prognosis in breast cancer. Pathol Res Pract. 2020;216:152736.
Mei J, Liu Y, Xu R, Hao L, Qin A, Chu C, et al. Characterization of the expression and prognostic value of 14-3-3 isoforms in breast cancer. Aging (Albany NY). 2020;12:19597–617.
Chen S, Feng X, Chen X, Zhuang Z, Xiao J, Fu H, et al. 14-3-3gamma, a novel regulator of the large-conductance Ca(2+)-activated K(+) channel. Am J Physiol Ren Physiol. 2020;319:F52–F62.
Prado K, Cotelle V, Li G, Bellati J, Tang N, Tournaire-Roux C, et al. Oscillating Aquaporin phosphorylation and 14-3-3 proteins mediate the circadian regulation of leaf hydraulics. Plant Cell. 2019;31:417–29.
Zhang Q, Lu S, Li T, Yu L, Zhang Y, Zeng H, et al. ACE2 inhibits breast cancer angiogenesis via suppressing the VEGFa/VEGFR2/ERK pathway. J Exp Clin Cancer Res. 2019;38:173.
Tanegashima K, Zhao H, Dawid IB. WGEF activates Rho in the Wnt-PCP pathway and controls convergent extension in Xenopus gastrulation. EMBO J. 2008;27:606–17.
Nishimura T, Honda H, Takeichi M. Planar cell polarity links axes of spatial dynamics in neural-tube closure. Cell. 2012;149:1084–97.
Liu G, Yan T, Li X, Sun J, Zhang B, Wang H, et al. Daam1 activates RhoA to regulate Wnt5ainduced glioblastoma cell invasion. Oncol Rep. 2018;39:465–72.
Wu X, Yan T, Hao L, Zhu Y. Wnt5a induces ROR1 and ROR2 to activate RhoA in esophageal squamous cell carcinoma cells. Cancer Manag Res. 2019;11:2803–15.
Dai B, Shen Y, Yan T, Zhang A. Wnt5a/ROR1 activates DAAM1 and promotes the migration in osteosarcoma cells. Oncol Rep. 2020;43:601–8.
Shevchenko V, Arnotskaya N, Zaitsev S, Sharma A, Sharma HS, Bryukhovetskiy A, et al. Proteins of Wnt signaling pathway in cancer stem cells of human glioblastoma. Int Rev Neurobiol. 2020;151:185–200.
Liang S, Singh M, Gam LH. The differential expression of aqueous soluble proteins in breast normal and cancerous tissues in relation to stage and grade of patients. J Biomed Biotechnol. 2010;2010:516469.
Neal CL, Yao J, Yang W, Zhou X, Nguyen NT, Lu J, et al. 14-3-3zeta overexpression defines high risk for breast cancer recurrence and promotes cancer cell survival. Cancer Res. 2009;69:3425–32.
Ye Y, Yang Y, Cai X, Liu L, Wu K, Yu M. Down-regulation of 14-3-3 zeta inhibits TGF-beta1-induced actomyosin contraction in human trabecular meshwork cells through rhoa signaling pathway. Invest Ophthalmol Vis Sci. 2016;57:719–30.
Nair MG, Somashekaraiah VM, Ramamurthy V, Prabhu JS, Sridhar TS. miRNAs: critical mediators of breast cancer metastatic programming. Exp Cell Res. 2021;401:112518.
Mei J, Xu R, Hao L, Zhang Y. MicroRNA-613: a novel tumor suppressor in human cancers. Biomed Pharmacother. 2020;123:109799.
Paladini L, Fabris L, Bottai G, Raschioni C, Calin GA, Santarpia L. Targeting microRNAs as key modulators of tumor immune response. J Exp Clin Cancer Res. 2016;35:103.
Liu H, Chen K, Wang L, Zeng X, Huang Z, Li M, et al. miR-613 inhibits Warburg effect in gastric cancer by targeting PFKFB2. Biochem Biophys Res Commun. 2019;515:37–43.
Yu H, Duan P, Zhu H, Rao D. miR-613 inhibits bladder cancer proliferation and migration through targeting SphK1. Am J Transl Res. 2017;9:1213–21.
Liu C, Jiang Y, Han B. miR-613 suppresses chemoresistance and stemness in triple-negative breast cancer by targeting FAM83A. Cancer Manag Res. 2020;12:12623–33.
Liu C, Jiang F, Zhang X, Xu X. Long non-coding RNA UCA1 modulates Paclitaxel resistance in breast cancer via miR-613/CDK12 axis. Cancer Manag Res. 2020;12:2777–88.
Zang H, Li Y, Zhang X, Huang G. Knockdown of circRAD18 mitigates breast cancer progression through the regulation of miR-613/HK2 Axis. Cancer Manag Res. 2020;12:3661–72.
Jiang X, Wu J, Zhang Y, Wang S, Yu X, Li R, et al. MiR-613 functions as tumor suppressor in hepatocellular carcinoma by targeting YWHAZ. Gene. 2018;659:168–74.
Xiong H, Yan T, Zhang W, Shi F, Jiang X, Wang X, et al. miR-613 inhibits cell migration and invasion by downregulating Daam1 in triple-negative breast cancer. Cell Signal. 2018;44:33–42.
Hao L, Liu Y, Yu X, Zhu Y, Zhu Y. Formin homology domains of Daam1 bind to Fascin and collaboratively promote pseudopodia formation and cell migration in breast cancer. Cell Prolif. 2021;54:e12994.
Zhou KR, Liu S, Sun WJ, Zheng LL, Zhou H, Yang JH, et al. ChIPBase v2.0: decoding transcriptional regulatory networks of non-coding RNAs and protein-coding genes from ChIP-seq data. Nucleic Acids Res. 2017;45:D43–D50.
Lánczky A, Nagy Á, Bottai G, Munkácsy G, Szabó A, Santarpia L, et al. miRpower: a web-tool to validate survival-associated miRNAs utilizing expression data from 2178 breast cancer patients. Breast Cancer Res Treat. 2016;160:439–46.
Agarwal V, Bell GW, Nam JW, Bartel DP. Predicting effective microRNA target sites in mammalian mRNAs. Elife. 2015;4:e05005.
Chen Y, Wang X. miRDB: an online database for prediction of functional microRNA targets. Nucleic Acids Res. 2020;48:D127–D131.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (82073194), the Major project of Wuxi Science and Technology Bureau (N20201006), the Wuxi Double-Hundred Talent Fund Project (BJ2020076), the Jiangsu Postgraduate Training Innovation Project (KYCX21-1559), and the High-end Medical Expert Team of the 2020 Taihu Talent Plan.
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Y Zhu and Y Zhang conceived the study and participated in the study design, performance, coordination, and manuscript writing, and revised the manuscript. JM, YL, XY, LH, and TM carried out the assays and analysis. JM and YL wrote the draft. Y Zhu, Y Zhang, JM, and QZ obtained funding supports.
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Mei, J., Liu, Y., Yu, X. et al. YWHAZ interacts with DAAM1 to promote cell migration in breast cancer. Cell Death Discov. 7, 221 (2021). https://doi.org/10.1038/s41420-021-00609-7
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DOI: https://doi.org/10.1038/s41420-021-00609-7
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