Abstract
Purpose
Synuclein-γ (SNCG), which was initially identified as breast cancer specific gene 1, is highly expressed in advanced breast cancers, but not in normal or benign breast tissue. This study aimed to evaluate the effects of SNCG siRNA-treatment on breast cancer cells and elucidate the associated mechanisms.
Methods
Vectors containing SNCG and negative control (NC) siRNAs were transfected into MDA-MB-231 cells; mRNA levels were determined by real-time polymerase chain reaction. Cell proliferation was evaluated using the MTT assay, cell migration was assessed by the Transwell assay, apoptosis and cell cycle analyses were conducted with the flow cytometer, and Western blot analysis was performed to determine the relative levels of AKT, ERK, p-AKT, and p-ERK expression.
Results
SNCG mRNA levels were significantly reduced in MDA-MB-231 cells transfected with SNCG siRNA. Our results indicate that in SNCG siRNA-treated cells, cell migration and proliferation decreased significantly, apoptosis was induced, and the cell cycle was arrested. Western blot analysis indicated that the protein levels of p-AKT and p-ERK were much lower in the SNCG siRNA-treated groups, than in the control and NC groups.
Breast cancer is a common malignancy and the second leading cause of death in women [1]. Although there are several effective options for treatment, including surgery, radiation, chemotherapy, and endocrine therapy, the rate of mortality of breast cancer remains high. While the definite pathogenesis of breast cancer remains unclear, it is postulated that genetic alteration of normal cells may cause breast cancer.
Synucleins are a family of small proteins composed of three members, Synuclein α (SNCA), Synuclein β (SNCB), and Synuclein γ (SNCG) [2]. While Synucleins are highly expressed in neuronal cells, and SNCA and SNCB have been linked to neurodegenerative diseases [3,4]; SNCG is primarily involved in neoplastic diseases, with no involvement in neurodegenerative disease pathogenesis [5,6,7,8,9,10]. SNCG, which was initially identified as breast cancer specific gene 1 (BCSG1), is highly expressed in advanced breast cancers, but not in normal or benign breast tissue [5]. When overexpressed, SNCG stimulates hormone-dependent growth of breast cancer cells [11]. Expression of SNCG in breast cancer cells also leads to a significant increase in invasiveness and metastasis [6]. Downregulation of SNCG expression sensitizes breast cancer cells to antimicrotubule agent-induced cytotoxicity [12,13,14]. These studies indicate that SNCG is a tumor marker and downregulation of SNCG may be an effective strategy in breast cancer treatment. In the present study, MDA-MB-231 breast cancer cells were transfected with SNCG siRNA constructs to investigate the effects of downregulated SNCG expression and its associated mechanisms.
The human breast cancer cell line MDA-MB-231 (Beijing Dingguo Changsheng Biotech Co., Ltd., Beijing, China) was cultured in Dulbecco's modified Eagle's medium (DMEM; Gibco, Carlsbad, USA) supplemented with 10% heat-inactivated fetal bovine serum, 100 U/mL penicillin, and 100 mg/L streptomycin (Gibco) under 5% CO2, at 37℃ in a humidified incubator.
SNCG siRNA-1 (sequence: 5'-GGGCTTCTCCATCGCCAAG-3'), SNCG siRNA-2 (sequence: 5'-GCCAAGACCAAGGAGAATG-3') and negative control (NC) siRNA (sequence: 5'-GCAGATAGGTAGGCGTTAT-3') were synthesized by Shanghai Genechem Biotech Co., Ltd. (Shanghai, China).
Human breast cancer MDA-MB-231 cells were transfected with no vectors or with the different SNCG siRNA and NC siRNA constructs, using Lipofectamine RNAiMAX (Invitrogen, Carlsbad, USA) according to the manufacturer's instructions. Seventy-two hours after transfection, cells were harvested for quantitative polymerase chain reaction (PCR) or Western blotting.
Total cellular RNA was extracted from MDA-MB-231 cells using Trigol reagent (Beijing Dingguo Changsheng Biotech Co., Ltd.) and then reverse-transcribed into cDNA using a reverse transcription kit (Beijing Dingguo Changsheng Biotech Co., Ltd.). The cDNA was then amplified in a mixture containing 1 µL cDNA, 0.5 µL primer each, 12.5 µL of 2× Mix (Beijing Dingguo Changsheng Biotech Co., Ltd.), 1 µL of 10× Sybr Green I (Genview, El Monte, USA), 9.5 µL double distilled water (ddH2O) under the following conditions: initial denaturation at 94℃ for 2 minutes; 35 cycles of (94℃ for 30 seconds, 56℃ for 30 seconds, and 72℃ for 30 seconds); and a final extension at 72℃ for 10 minutes. The PCR products were resolved on a 2% agarose gel by electrophoresis and visualized under ultraviolet light.
The primer sequences were as follows: SNCG forward primer, 5'-TGTGGTGAGCAGCGTCAA-3'; SNCG reverse primer, 5'-ATGGTGTCCAAGGCAGAGG-3'; β-actin forward primer, 5'-ATCATGTTTGAGACCTTCAACA-3'; β-actin reverse primer, 5'-CATCTCTTGCTCGAAGTCCA-3'.
A standard curve was generated by determining the mean cycle threshold values on 10-fold serial dilutions of the amplified products. Melting curve analysis was performed by heating to 62℃ for 20 seconds, followed by incremental temperature increase to 95℃ (spread over 20 minutes, and held for 15 seconds), with continuous measurement of fluorescence.
Human breast cancer MDA-MB-231 cells were transfected with no vectors, SNCG siRNA 1 or 2 constructs, or with NC siRNA constructs; after incubating for 72 hours, the cells were seeded in the transwell upper chamber. The transwell assay was performed according to the manufacturer's instructions. Transwell chambers were then incubated for 48 hours at 37℃ in a humidified incubator with 5% CO2, following which, the lower chamber was stained with hematoxylin and photographed.
Seventy-two hours after transfection, MDA-MB-231 cells were seeded in sextuplicate in 96 well plates, at a density of 3,000 cells/well and incubated for 0, 24, 48, and 72 hours. At the end of incubation, 20 µL of 5 mg/mL MTT (Sigma, St. Louis, USA) were added to each well. The plates were incubated in a humidified incubator at 37℃, under 5% CO2 for 4 hours, following which 150 µL dimethyl sulfoxide was added. The plates were gently agitated until the formazan was completely dissolved, and the absorbance was measured at 490 nm wavelength.
Cell cycle analysis was performed on the flow cytometer, after propidium iodide (PI) staining. MDA-MB-231 cells, in the logarithmic phase of growth, were seeded in 6-well plates, and incubated overnight. The cells, except in control group, were transfected with SNCG siRNA-1, SNCG siRNA-2, or NC siRNA. After 72 hours, the cells were collected, washed with Dulbecco's phosphate buffered saline (DPBS; Genview, El Monte, USA), fixed in 70% ethanol, and incubated overnight at 4℃; ethanol was removed by centrifugation. The cell pellets were washed with DPBS followed by incubation with 300 µL PI solution, for 30 minutes in dark at 37℃; cells were then analyzed by flow cytometry (Beckman Coulter, Brea, USA).
Flow cytometeric analysis for apoptosis was carried out with an Annexin V-FITC/PI Apoptosis Detection Kit (Shanghai Genechem Biotech Co., Ltd.). The cells were divided into six groups, as in the cell cycle analysis. Cells were harvested 72 hours after transfection. According to the manufacturer's instructions, the binding buffer, Annexin V/FITC, and PI were added individually, followed by incubation in the dark at room temperature for 15 minutes. Apoptosis was then detected by flow cytometry.
Whole cell lysates were harvested and samples (50 µg protein/lane) were fractionated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to polyvinylidene difluoride (PVDF) membranes. The membranes were incubated in 5% skimmed milk for 1 hour at room temperature and overnight at 4℃ with primary antibodies; β-actin was used as a loading control. Bands were visualized using an ECL chemiluminescent kit (Genview) and quantitated by Quantity One (Bio-Rad, Hercules, USA).
SPSS version 17.0 (SPSS Inc., Chicago, USA) was used for statistical analysis. All data were expressed as mean±SD [(x) ±s], and the statistical differences among different groups were assessed by one-way analysis of variance. The two groups were compared using independent simple t-test; p<0.05 indicated a significant difference, and p<0.01 indicated that there was a very significant difference.
SNCG and β-actin mRNA levels were determined using fluorescent quantitative PCR; the relative concentrations of SNCG mRNA were calculated (SNCG mRNA relative concentration=SNCG mRNA concentration/β-actin mRNA concentration). As shown in Figure 1, levels of SNCG mRNA were found to be much lower in groups that received SNCG siRNA-1 and SNCG siRNA-2, than in the NC (p<0.01, p<0.01) and control groups (p<0.01, p<0.01). These results suggest that SNCG siRNA can significantly downregulate the SNCG mRNA levels in breast cancer cells.
Cells that migrated through the membrane were counted in five random fields for each group, and the relative migration rate was calculated (relative migration rate=number of migrated cells/number of migrated cells in the control group). Figure 2 shows that the relative migration rates of SNCG siRNA-1 and SNCG siRNA-2 groups were decreased significantly (p<0.05, p<0.05). Our results indicate that SNCG siRNAs can inhibit breast cancer cell migration.
The results obtained from the MTT assay show that cell proliferation decreased significantly in the groups treated with SNCG siRNA-1 and -2 (p<0.01, p<0.01), while there were no differences between the NC and control group (p>0.05) (Figure 3). The MTT assay demonstrated that SNCG siRNAs can inhibit the proliferation of breast cancer cells.
The rate of apoptosis for MDA-MB-231 cells was analyzed by fluorescence-activated cell sorting (FACS) (Beckmann Coulter Inc., Fullerton, USA). As shown in Figure 4, 26.9% cells in the SNCG siRNA-1 group and 33.2% cells in the SNCG siRNA-2 group were annexin V/FITC-positive, much higher than in the NC1/2 and control 1/2 groups. These results suggest that the SNCG siRNA decreased the proliferation of breast cancer cells through the induction of apoptosis.
The effect of SNCG siRNA on cell cycle was analyzed by FACS (Beckmann Coulter Inc., Fullerton, USA). As shown in Figure 5, a higher percentage of cells in SNCG siRNA-1 (65.89%±2.45%), and SNCG siRNA-2 groups (78.76%±2.24%) were in the G0/G1 phase, than in the NC and control groups (48.67%±0.49%, p<0.05; 49.37%±2.06%, p<0.05, respectively). A lower percentage of cells of SNCG siRNA-1 and -2 groups (25.69%±1.57%, 15.00%±1.17%, respectively) were in the S phase, than in the NC and control groups (42.14%±0.26%, p<0.05; 41.08%±2.45%, p<0.05, respectively). Cells from the SNCG siRNA-1 group (7.52%±1.13%) in the G2/M phase were significantly lower than in the NC and control groups (9.51%±0.47%, p<0.05; 9.92%±0.46%, p<0.05); while a lower percentage of cells from the SNCG siRNA-2 group were in the G2/M phase (8.17%±0.87%), but the difference was not statistically significant. These results indicate that transfection with SNCG siRNA was able to arrest the cell cycle of breast cancer cells.
Human breast cancer MDA-MB-231 cells transfected SNCG siRNA constructs showed a relative downregulation in p-AKT and p-ERK levels (Figure 6), while there were no significant differences in the expression levels of AKT and ERK among the four groups. These data suggest that the SNCG siRNA downregulated the p-AKT and p-ERK levels, which in turn, may have been involved in the process of cell apoptosis induced by SNCG siRNA.
SNCG, also known as BCSG1, is a kind of γ-Synuclein encoded by the human γ-Synuclein gene; it is expressed in a high percentage of advanced and metastatic breast tumors, but not in normal or benign breast tissues [5]. Abnormal expression of SNCG is also implicated in various cancer types, including glial tumors, ovarian, liver, esophagus, colon, gastric, lung, prostate, pancreas, bladder, and cervical cancers [7,9,15,16,17,18,19,20,21]. In breast cancer, SNCG expression was closely correlated with the disease stage, lymph node involvement, metastasis, tumor size, and human epidermal growth factor receptor 2 status; however, SNCG expression was independent of the expression of the estrogen (ER) and progesterone receptors [10]. Overexpression of SNCG in breast cancer cells can facilitate cell proliferation [11], increase migration, and enhance metastasis in nude mice [6]. Moreover, SNCG is also associated with ERα overexpression [22], antimicrotubule drug resistance [23], and an accelerated rate of chromosomal instability [24]. All these studies suggest that knockdown of SNCG expression may be an effective therapy in breast cancer treatment. In our study, SNCG mRNA expression was effectively suppressed by siRNA in human breast cancer MDA-MB-231 cells, and the migration and proliferation of cells decreased significantly.
According to the results of cell cycle analysis, in the SNCG siRNA-treated groups, the number of cells in the G0/G1 phase increased, while those in the S phase decreased, when compared with the control and NC groups. These results suggest that the downregulation of SNCG expression in breast cancer cells was able to inhibit mitosis by blocking the cells in the G0/G1 phase. It has been reported that SNCG physically interacts with, and inhibits the function of the mitotic checkpoint protein BubR1 in breast cancer cells [23]. The G1 checkpoint plays an important role in cell damage repair since the cells with DNA damage will be blocked in the G1 phase; the damaged cells that cannot be repaired may directly undergo apoptosis [25], which is consistent with the results of the apoptosis analysis. Our results revealed that the cell cycle was arrested and apoptosis was induced by the downregulation of SNCG expression in breast cancer cells.
Western blot analysis showed that p-AKT and p-ERK levels were lower in the SNCG siRNA-treated cells, than in the control and NC cells. These results suggest that the SNCG siRNA decreased the migration and proliferation of breast cancer cells by downregulating the levels of p-AKT and p-ERK. Thus, the overexpression of SNCG may enhance the migration and viability of breast cancer cells through regulation of AKT and ERK pathways.
In conclusion, the migration and proliferation of breast cancer cells were inhibited by suppressing SNCG expression through downregulation of AKT and ERK phosphorylation.
Notes
This study was supported by the Basic Research Program for Scientific and Technological Innovation of Shenzhen City (Grant No. JC201105170637, JCYJ20130329110955809, JCYJ20120613171430264), the Key Program for Science and Technology of Shenzhen City (Grant No. 201101005) and the International Joint Program for Scientific and Technological Innovation of Shenzhen City (Grant No. GJHZ20120614154716498, GJHZ20130412153906740).
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