Abstract
Stearoyl‐CoA desaturase‐1 (SCD1) is an endoplasmic reticulum anchored enzyme catalyzing the synthesis of monounsaturated fatty acids, mainly palmytoleyl‐CoA and oleyl‐CoA. Recent studies have revealed a function for SCD1 in the modulation of signaling processes related to cell proliferation, survival and transformation to cancer. We used MCF7 and MDA‐MB‐231 cells to analyze the role of SCD1 in the metastatic acquisition of breast cancer cells. Silencing SCD1 expression in breast cancer cells has no effect on cell viability but the levels of cell proliferation, cell cycle genes' expressions and the phosphorylation state of ERK1/2 MAPK are significantly reduced. Decreasing SCD1 expression also reduces the level of GSK3 phosphorylation, indicating higher activity of the kinase. Using cells fractionation, immunofluorescence and a β‐catenin/TCF‐responsive reporter construct, we demonstrate that lowering SCD1 expression leads to a decrease of β‐catenin amounts within the nucleus and to inhibition of its transactivation capacity. Moreover, MDA‐MB‐231 cells transfected with the SCD1 siRNA show a lower invasive potential than the control cells. Taken together, our data demonstrate that low SCD1 expression is associated with a decrease in the proliferation rate of breast cancer cells associated with a decrease in ERK1/2 activation. SCD1 silencing also inhibits GSK3 phosphorylation, lowering β‐catenin translocation to the nucleus, and, subsequently, its transactivation capacity and the expression of its target genes. Finally, we show that silencing SCD1 impairs the epithelial to mesenchymal transition‐like behavior of the cells, a characteristic of metastatic breast cancer. (Cancer Sci 2013; 104: 36–42)
The process of cell proliferation and survival in mammalian organisms requires the production of new membranes, involving the production of new lipids with the appropriate composition. Saturated fatty acids (SFA) and mono‐unsaturated fatty acids (MUFA) are the major components of the cellular membrane phospholipids. Balance alterations among the different lipid species may modify the appropriate cell functions, such as survival and proliferation.
Several studies reveal a relationship between obesity and breast cancer.1 We and others have demonstrated that high levels of stearoyl‐CoA desaturase 1 (SCD1) expression in human adipose tissues are associated with obesity.2, 3 SCD1 is a key regulator of fatty acid composition in the membranes of mammalian cells. This enzyme catalyzes the introduction of a double bound in the Δ‐9 position of palmitoyl‐CoA and stearoyl‐CoA to form palmitoleoyl‐CoA and oleoyl‐CoA, respectively.4
In cancer cells and tissues, increased content of MUFA has been observed, suggesting a role of SCD1 in the transformation process.5, 6, 7 The level of SCD1 expression and activity are also increased in lung and breast cancer cells.8, 9. In addition, high SCD1 gene expression is observed in cancer cells and tissues, such as breast, bladder, colon and lungs, and in prostate tumors (www.oncomine.org).10 Furthermore, fatty acid profiles and, in particular, the balance between SFA and MUFA can be used as predictors for breast cancer in women.11, 12 A positive correlation is observed between unbalanced levels of SFA and MUFA and higher risk for breast cancer.13 In addition, the content of MUFA in cholesterol esters has been associated with a higher rate of death in patients.14 In women diagnosed with breast cancer, an elevated level of oleic acid has been observed in adipose tissue and lymph node metastasis, suggesting increased activity of SCD1,15 whereas low levels of stearic acid (a SCD1 substrate) in phosphatidylcholine have been measured in breast cancer tumors associated with subsequent metastasis and poor prognostic.6 Another study observed a positive correlation between MUFA concentration and the apparition of metastasis in patients.16 It has also been shown that alterations of the SFA to MUFA ratio in breast cancer tumors reflect the change in fatty acid metabolism in cells.17 Together, these studies strongly point towards a central role of MUFA in metastatic breast cancer.
The loss of epithelial phenotype and acquisition of mesenchymal characteristics is a key feature of cells that become metastatic. This epithelial to mesenchymal transition (EMT) is normally activated during embryonic programming . In abnormal situations , EMT is reactivated, especially during tumor invasion and dissemination of cancer cells.18 One of the first events occurring in EMT is the loss of E‐cadherin expression.19 E‐cadherin is a cell–cell adhesion molecule interacting with elements of adherent junctions, such as β‐catenin.20 If β‐catenin is liberated in the cytosol, it is rapidly degraded by the proteasome system.21 This degradation is GSK3β‐dependent.22 Upon loss of E‐cadherin, GSK3β is inhibited by phosphorylation23 and, consequently, β‐catenin is no longer degraded. It can translocate into the nucleus, activating transcription of genes involved in the invasion process.24
In the present study, we evaluate the role of SCD1 in breast cancer and in EMT. We show that a decrease of SCD1 expression is associated with a lower proliferating rate of breast cancer cells and with a switch to a more epithelial phenotype, suggesting that SCD1 accounts for the apparition of metastasis in breast cancer cells.
Materials and Methods
Materials
MCF7 and MDA‐MB‐231 cells were a gift from Dr J. J. Lebrun (McGill University, Montreal PQ, Canada). The siRNA, the DharmaFECT and the DharmaFECT Duo transfection reagents were obtained from Ambion (Burlington, ON, Canada). The α‐tubulin, phospho‐ERK1/2 (Thr202/Tyr204) and phospho‐GSK3α/β (Ser21/9) antibodies were from Cell Signaling Technology (Danvers, MA, USA). The β‐catenin antibody was purchased from Santa‐Cruz (Santa‐Cruz, CA, USA). The SCD1 antibody was obtained from Abcam (Cambridge, MA, USA). The Lap‐2 antibody was purchased from Sigma‐Aldrich (Oakville, Ontario, Canada). The DMEM was from Wisent Bioproducts (St‐Bruno, PQ, Canada). TOP and FOP flash vectors were a gift from Dr N. Rivard (Sherbrooke University, PQ, Canada). Most other reagents were obtained from Sigma‐Aldrich.
Cell culture and transfection procedure
MCF7 and MDA‐MB‐231 were grown in DMEM supplemented with 10% FBS, 100 μg/mL streptomycin and 100 U/mL penicillin. Cells were plated and transfected the day after with either a control siRNA (siRNA‐CTL) or a siRNA targeting SCD1 (siRNA‐SCD1) using the DharmaFECT transfection reagent. For the experiments implicating the use of TOP and FOP flash vector, cells were transfected using the DharmaFECT Duo transfection reagent.
Semi‐quantitative RT‐PCR
Total RNA was extracted from cells using TRIzol reagent (Invitrogen, Carlsbad, CA, USA), and subjected to reverse transcription using the Qiagen Omniscript RT kit (Montreal, PQ, Canada) and Oligo‐dT (Roche Diagnostics, Laval, PQ, Canada), and then to semi‐quantitative PCR analysis. The primers' sequences are indicated in Table 1.
Table 1.
Gene | Sens | Antisense |
---|---|---|
Human SCD1 | CTCCACTGCTGGACATGAGA | AATGAGTGAAGGGGCACAAC |
Human CdK4 | TGGACAAGGCACCCCCACCA | GGCCAGGCCAAAGTCAGCCA |
Human Cyclin D1 | CCGCACGATTTCATTGAAC | CACAGAGGGCAACGAAGGTC |
Human c‐Myc | CGTCTCCACACATCAGCACAA | TCTTGGCAGCAGGATAGTCCTT |
Human E‐Cadherin | GAGTGCCAACTGGACCATTC | CCCACCTCTAAGGCCATCT |
Human Vimentin | AGATGGCCCTTGACATTGAG | CCAGAGGGAGTGAATCCAGA |
Human HPRT | ACCAGTCAACAGGGGACATAA | AAGCTTGCGACCTTGACC |
Human β‐actin | CGTGACATTAAGGAGAAGCTGT | CTCAGGAGAGCAATGATCTTGAT |
Cell viability assay
Cell viability was measured using the CellTiter 96 Aqueous One Solution Assay (Promega, Madison, WI, USA). Cells were seeded at a density of 10 000 (MCF7) or 5000 cells (MDA‐MB‐231) per well in a 96‐well plate. The day after, cells were transfected with different concentrations of siRNA. Methanethiosulfonate and phenazinemethosulfate reagents (MTS/PMS) were added 48 h post‐transfection. One hour later, the production of formazan was measured at 490 nm.
Cell cycle analysis
Cells were trypsinized and fixed with 70% ethanol. Cells were resuspended in propidium iodide solution (40 μg propidium iodide and 100 μg RNaseA in 1 mL PBS) for 30 min at 37°C. Cell cycle distribution was determined using a FACScan flow cytometer (FACScan [Becton Dickinson, Franklin Lakes, NJ, USA]).
Western blot analysis
Nuclear and cytoplasmic proteins were extracted using the Cytoplasmic and Nuclear Proteins Extraction Kit (ZmTech Scientifique, Montreal, PQ. Canada), and 20 to 50 μg of proteins were transferred to Immobilon‐P membranes. Membranes were incubated for 1 h in blocking buffer (1X TBS, 0,1% Tween‐20: TBST, 5% milk) and then overnight in TBST + 5% BSA and antibodies for SCD1 (1/1000), phospho‐ERK1/2 (Thr202/Tyr204) (1/1000), phospho‐GSK3α/β (Ser21/9) (1/1000), β‐catenin (1/1000), GAPDH (1/2500), α‐tubulin (1/5000) and Lap 2 (1/1000). Anti‐rabbit (or anti‐mouse) IgG bound to the HRP (1/10 000) was used as a secondary antibody. Signals were revealed using the ECL plus western blotting detection reagent (Roche, Laval, PQ, Canada).
Immunofluorescence assay
Cells were plated on glass coverslips and transfected with siRNA‐CTL or siRNA‐SCD1. Cells were fixed in 3.7% paraformaldehyde 72 h after transfection. Cells were then permeabilized and blocked for 1 h with 0.1% Triton X‐100, 10% goat serum and 10% BSA. Coverslips were then incubated with the first antibodies (SCD1 [1/100] and β‐catenin [1/100]) for 2 h at room temperature. After three successive washes in PBS, cells were incubated with the Alexa Fluor‐466 and 568 antibodies (1/1000) (Invitrogen). After washes in PBS, coverslips were incubated for 5 min with DAPI (1/200 000). Coverslips were mounted onto slides using Prolong Gold antifade reagent (Invitrogen) and observed by immunofluorescence microscopy (Eclipse Ti fluorescent microscope, Nikon, Mississauga, ON, Canada).
Cell invasion assay
MDA‐MB‐231 cells were transfected with siRNA‐CTL or siRNA‐SCD1. After 48 h, 1 × 105 cells were resuspended in medium containing 0.1% BSA and seeded in the upper chamber of matrigel‐coated (10 mg/mL) transwell inserts (8‐μm pore size; Costar, Lowell, MA, USA ). The lower chamber was filled with medium containing 10% FBS. Cells were allowed to migrate for 48 h at 37°C. Following incubation, non‐migrated cells were scraped off from the upper surface of the membranes. Cells that invaded the lower chamber were fixed for 1 h in 3.7% formaldehyde and stained for 30 min with 20% methanol and 0.25% crystal violet. Cells were counted and analyzed using the ImageJ software.
Statistical analysis
Data are given as a mean with ± standard deviation (SD) of the mean. Densitometry analyses were performed using the ImageJ software. Statistical analyses were performed by two‐tailed Student's test for multiple comparisons. P < 0.05 defined the significance of the test.
Results
Inhibition of stearoyl‐CoA desaturase‐1 expression does not affect cells viability
Using an RNAi approach, we showed that transfection of 10 nM of siRNA‐SCD1 was sufficient to greatly reduce SCD1 mRNA expression in MCF7 and MDA‐MB‐231 cells (Fig. 1a and b). An inhibition was also observed at the protein level (40% of inhibition in MCF7 cells and 50% in MDA‐MB‐231). Compared to non‐transfected cells, the viability of MCF7 cells transfected with siRNA‐CTL or with siRNA‐SCD1 (from 5 to 20 nM) was comparable between the two conditions and reached 80% (Fig. 1c). Similar results were obtained with 50 nM of siRNA (data not shown). The viability of siRNA‐transfected MDA‐MB‐231 cells was even slightly higher than that of the non‐transfected cells (Fig. 1d).
Inhibition of stearoyl‐CoA desaturase‐1 expression affects cell cycle and ERK1/2 phosphorylation
Decreasing SCD1 expression significantly reduced the percentage of cells in S phase compared to cells transfected with the control siRNA (25 vs 31%, respectively; P = 0.003) (Fig. 2a). A similar observation was made on the percentage of cells in G2/M (2.5% in cells transfected with siRNA‐SCD1 vs 7.5% in control cells). Consequently, the percentage of cells in the resting phase (G0–G1) was greatly increased in the siRNA‐SCD1‐transfected cells compared to the control cells (72.5 vs 61.5%, respectively, P = 0.03). In both cell types, SCD1 silencing reduced the mRNA expression levels of cell cycle genes, such as Cdk4, CyclinD1 and c‐Myc (Fig. 2b and c). These results suggest that low SCD1 expression is associated with a lower proliferation rate of breast cancer cells. Regulators of the cell cycle progression, such as cyclin D1, are regulated by numerous kinases, including ERK1/2.25, 26 In agreement with a reduction of cell proliferation, we observed that inhibition of SCD1 expression leads to a significant decrease in ERK1/2 MAPK phosphorylation in both cell types (Fig. 2d and e).
Inhibition of stearoyl‐CoA desaturase‐1 decreases GSK3 phosphorylation
Inhibition of GSK3, through increased phosphorylation, is also involved in the activation of the G1/S cell cycle progression.27, 28 This kinase is implicated in EMT through its effect on the degradation of β‐catenin.22, 24 In lung cancer cells, SCD1 inhibition decreases Akt and GSK3 phosphorylation.29 We show here that reducing SCD1 expression in breast cancer cells significantly impairs the phosphorylation of both GSK3α and GSK3β (Fig. 3a and b), indicating that GSK3 activity is enhanced when SCD1 expression is decreased.
Inhibition of stearoyl‐CoA desaturase‐1 decreases the nuclear amount and the transactivation potential of β‐catenin impairing epithelial to mesenchymal transition‐like behavior of the cells
Epithelial to mesenchymal transition, which is reactivated during tumor invasion and dissemination of cancer cells,18 is characterized by an increase of GSK3 phosphorylation inhibiting the kinase activity.23 A known target of GSK3 is β‐catenin. When phosphorylated by GSK3, β‐catenin is ubiquitinated and degraded and, therefore, no longer targeted to the nucleus where it can activate its target genes. Many of these genes, such as vimentin,30 contain β‐catenin (TCF/LEF) response elements in their promoters and are involved in EMT.31, 32 Because GSK3 phosphorylation was decreased in cells transfected with siRNA‐SCD1 compared to control cells, we suspected that SCD1 inhibition would result in a reduction of β‐catenin in the nucleus. Indeed, we show here that SCD1 silencing decreases the amount of β‐catenin in the cytosol and even more significantly in the nucleus (Fig. 4a). A similar observation was made in MDA‐MB‐231 but the decrease of cytosolic β‐catenin was less pronounced (Fig. 4b). By immunofluorescence, we observed that decreasing SCD1 expression clearly reduced the amount of β‐catenin expressed in MCF7 cells (Fig. 4c). Moreover, in cells transfected with siRNA‐SCD1, β‐catenin is present at the cell periphery. A colocalization with a DAPI staining clearly demonstrated that silencing SCD1 decreased the amount of β‐catenin in the nucleus (Fig. 4c, right panels). Given the fact that less β‐catenin is available in the nucleus, we tested the possibility that its transactivation potential might also be decreased. We used a β‐catenin/TCF‐responsive reporter construct: the TOP flash vector and showed that the transactivation activity of β‐catenin was reduced by 40% (Fig. 4d). This reduction was associated with a decrease in the expression of the mesenchymal marker vimentin. In accordance with an acquisition of a more epithelial phenotype, the cells transfected with the siRNA‐SCD1 showed a higher level of expression of the epithelial marker E‐Cadherin compared to the control cells (Fig. 4e and f). SCD1 silencing also resulted in the reduction of MCF7 cells spreading and in the establishment of tighter cell–cell junctions (Fig. 4g). Furthermore, MDA‐MB‐231 cells, when transfected with siRNA‐SCD1, displayed a less fibroblastic appearance (Fig. 4h) and became significantly less invasive than the control cells (Fig. 4i).
Our data suggest that reducing SCD1 expression in breast cancer cells lowers their proliferation rate because of the lower expression of cell cycle genes and activation of the ERK1/2. We also showed that silencing SCD1 is associated with a decrease of the characteristic factors of the mesenchymal phenotype, such as increased GSK3 activity, reduction of β‐catenin nuclear localization and transactivation activity. SCD1 silencing also modifies the shape of the cells and their invasive potential, suggesting that high SCD1 expression is associated with increased transformation of cancer cells, which is a characteristic of the acquisition of a mesenchymal phenotype.
Discussion
The activation of de novo lipogenesis has been associated with aggressive cancer.33 Among the enzymes involved in this pathway, SCD1 catalyzes the production of MUFA from SFA precursors. These fatty acids are the most abundant in plasma membrane and the ratio of SFA to MUFA can affect membrane fluidity. Evidence has now emerged showing an implication of SCD1 in human lung, colon, prostate and breast cancer cells survival.8, 9, 10, 29, 34, 35, 36, 37, 38 In two breast cancer cell models, MCF7 and MDA‐MB‐231, decreasing SCD1 expression does not affect cell viability 48 h post‐transfection (Fig. 1c and d). However, in lung cancer cells, inhibition of SCD1 affects cell viability.39 This effect is observed in cells cultured with 2% serum but not with 10% serum. The difference in cell sensitivity to SCD1 inhibition could be attributed to the presence of a higher concentration of MUFA in the media containing 10% serum compared to 2% serum 39. Pharmaceutical SCD1 inhibition on MCF7 and MDA‐MB‐231 also affects the viability of cells cultured with 10% serum.37. Our experiments were performed in serum‐free medium. Therefore, it seems that serum concentration might not modify the effect of SCD1 on MCF7 and MDA‐MB‐231 survival. In addition, SCD1 depletion does not universally affect cell survival because the HCT116 colon cancer cells are more affected by SCD1 inhibition than the SKOV3 ovarian cancer cells.35 Therefore, the cancer cell type and serum concentrations might influence the effect of SCD1 inhibition on cell viability.
Upon silencing of SCD1, we also observed a significant diminution of ERK1/2 phosphorylation associated with a modification of cell cycle distribution and a decrease in cell cycle gene expression. Similar observations have been made in prostate cancer cells treated with a pharmaceutical SCD1 inhibitor.38 Although ERK1/2 phosphorylation decreased, the percentage of cells in G0–G1 increased by 11% and the proportion of cells in S and G2‐M phases decreased by 6 and 5%, respectively (Fig. 2). In lung cancer cells, the treatment of cells with a specific SCD1 pharmaceutical inhibitor increases the number of cells in the G0–G1 phase and decreases that in the S phase.40 Therefore, a lower SCD1 expression level is probably associated with an increased number of cells in the resting state.
Epithelial to mesenchymal transition represents one of the key events of cancer progression leading to cell dissemination and metastasis. The activation of the Wnt/β‐catenin signaling pathway is associated with the induction of EMT41, 42 and markers of its activation, such as GSK3 inhibition and nuclear β‐catenin, are positively correlated in breast cancer patients with poor prognosis.43 We observed a diminution of GSK3β phosphorylation on serine 9 in siRNA‐SCD1 cells compared to the control, suggesting an augmentation of GSK3 activity.23 Fritz and collaborators also observed the same phenomenon in prostate cancer cell lines transfected with a SCD1 siRNA or treated with a specific SCD1 inhibitor.38 As GSK3 is part of the complex that drives β‐catenin for proteasomal degradation,22 we analyzed the effect of SCD1 inhibition on the sub‐cellular localization of β‐catenin, a marker of the acquisition of the mesenchymal stage. The cytosolic amount and the nuclear localization of β‐catenin in MCF7 and MDA‐MB‐231 cells were modified upon SCD1 inhibition (Fig. 4a–c). The decrease of β‐catenin amounts within the nucleus was also reflected by its lower capacity to transactivate TCF target genes, such as cyclin D1 and vimentin (Fig. 2b–4f). These latter genes are mainly implicated in cell cycle progression and in the acquisition of a mesenchymal phenotype.44 An impairment of β‐catenin nuclear translocation has also been observed in prostate cancer cells,38 suggesting that decreasing SCD1 expression might have a positive effect on other types of cancers.
To our knowledge, the present study constitutes the first report showing an impairment of the Wnt/β‐catenin signaling pathway in SCD1 inhibited‐breast cancer cells. In cancer cells, secreted factors, such as the wingless proteins (Wnt‐1 and Wnt‐3a), are implicated in the initiation of Wnt/β‐catenin pathway activation.45 These proteins also create a positive feedback loop, contributing to sustain cancer cell proliferation. Of interest, Wnt‐3a has been shown to be acylated by one of the main products of SCD1: palmitoleic acid. Moreover, this acylation is a prerequisite for Wnt‐3a secretion.46 Hence, SCD1 inhibition might perturb Wnt‐3a acylation and secretion. Consequently, it modifies the Wnt/β‐catenin pathway activation, leading to an impairment of cell proliferation and mesenchymal behavior acquisition.
Another potential consequence of the effect of SCD1 inhibition could be the activation of the PI3K/Akt pathway, which is implicated in cancer cell survival. Indeed, inhibition of SCD1 in lung and prostate cancer cells also impairs Akt activation and, as a result, its inhibitory action on its target GSK3β.29, 38 However, the mechanism of Akt activation remains to be determined in breast cancer cells.
In summary, we have shown that low SCD1 expression is linked to a decrease in the proliferation rate of breast cancer cells. This was accompanied by an increase in GSK3 activity. Consequently, the nuclear translocation of β‐catenin was decreased, and its transactivation capacity. This strongly suggests a role of SCD1 in EMT and cancer progression. Therefore, SCD1 could be an efficient new therapeutic target for the treatment of metastatic breast cancer.
Disclosure Statement
The authors have no conflicts of interest to declare.
Acknowledgments
We thank Dr N. Rivard (Sherbrooke University) for the TOP and FOP flash vectors. We thank D. Flipo (University of Quebec in Montreal [UQÀM]) for the confocal microscopy analysis. This work was supported by Fondation UQÀM to DM and CC.
(Cancer Sci, doi: 10.1111/cas.12032, 2012)
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