PURPOSE: This research aims to investigate the intervention and mechanism of 50% acetone extract of C. officinalis leaves (SZYY) on melanoma xenografts. PATIENTS AND METHODS: Tumor size and cardiac function were measured via ultrasound. The accumulation of 2-deoxy-D-glucose (2-DG) in tumor tissue was examined with near-infrared in vivo imaging. Flow cytometry was performed to assess apoptosis and reactive oxygen species (ROS) levels in tumor and immune cells in spleen. The levels of inflammatory cytokines in serum were detected by cytometric bead array. The expression of proliferation-, apoptosis-, and angiogenesis-related proteins in tumor cells was measured to evaluate the underlying mechanisms. Subsequently, the effects of four compounds separated from SZYY on the proliferation and migration of A375 cells and STAT3 signaling were examined. The peak identification and contents of the four components were performed via high-performance liquid chromatography (HPLC). Finally, we evaluated the inhibitory effects of STAT3 overexpression on the cytotoxic activity of four constituents in A375 cells. RESULTS: SZYY inhibited the growth and glycolysis of melanoma xenograft in mice, improved cardiac function, increased the percentages of macrophages, neutrophils, and lymphocytes in spleen, reduced the levels of IL-6, IL-17A, TNF-α, and IFN-γ in serum, promoted apoptosis and oxidative stress in tumor tissues, and inhibited STAT3 phosphorylation and expression of angiogenic factors. Chemical analysis showed that SZYY is rich in loganin, rutin, triohimas C, and triohimas D, which all could restrain the proliferation and migration of A375 cells and inhibit the phosphorylation and nuclear translocation of STAT3. Moreover, STAT3 overexpression could diminish the cytotoxic activity of four compounds on A375 cells. CONCLUSION: SZYY could exert anti-melanoma effects via inhibiting STAT3 signaling to induce apoptosis and inhibit tumor angiogenesis. Its active ingredients might be loganin, rutin, triohimas C, and triohimas D.
PURPOSE: This research aims to investigate the intervention and mechanism of 50% acetone extract of C. officinalis leaves (SZYY) on melanoma xenografts. PATIENTS AND METHODS: Tumor size and cardiac function were measured via ultrasound. The accumulation of 2-deoxy-D-glucose (2-DG) in tumor tissue was examined with near-infrared in vivo imaging. Flow cytometry was performed to assess apoptosis and reactive oxygen species (ROS) levels in tumor and immune cells in spleen. The levels of inflammatory cytokines in serum were detected by cytometric bead array. The expression of proliferation-, apoptosis-, and angiogenesis-related proteins in tumor cells was measured to evaluate the underlying mechanisms. Subsequently, the effects of four compounds separated from SZYY on the proliferation and migration of A375 cells and STAT3 signaling were examined. The peak identification and contents of the four components were performed via high-performance liquid chromatography (HPLC). Finally, we evaluated the inhibitory effects of STAT3 overexpression on the cytotoxic activity of four constituents in A375 cells. RESULTS: SZYY inhibited the growth and glycolysis of melanoma xenograft in mice, improved cardiac function, increased the percentages of macrophages, neutrophils, and lymphocytes in spleen, reduced the levels of IL-6, IL-17A, TNF-α, and IFN-γ in serum, promoted apoptosis and oxidative stress in tumor tissues, and inhibited STAT3 phosphorylation and expression of angiogenic factors. Chemical analysis showed that SZYY is rich in loganin, rutin, triohimas C, and triohimas D, which all could restrain the proliferation and migration of A375 cells and inhibit the phosphorylation and nuclear translocation of STAT3. Moreover, STAT3 overexpression could diminish the cytotoxic activity of four compounds on A375 cells. CONCLUSION: SZYY could exert anti-melanoma effects via inhibiting STAT3 signaling to induce apoptosis and inhibit tumor angiogenesis. Its active ingredients might be loganin, rutin, triohimas C, and triohimas D.
Melanoma is known as a common malignant tumor with high recurrence and metastasis rates and poor prognosis, whose incidence is increasing rapidly in all regions of the world. According to reports, each year more than 65,000 people in the US are given a new diagnosis of invasive melanoma of the skin. Although research about melanoma have increased ceaselessly over the past few decades1 and a variety of therapies have been developed and applied to clinical patients, the mortality rate of melanoma is still higher than 13%.2 Furthermore, most traditional chemotherapy could cause varying degrees of injury to the body due to the low response rate and the high toxicities.3 Therefore, safe and effective targeted chemotherapeutic agents need to be further explored for the treatment of melanoma.Signal transducer and activator of transcription 3 (STAT3), a DNA-binding transcription factor, is constitutively activated in a variety of human cancers, including melanoma, colorectal cancer, and breast cancer,4–6 which could promote proliferation, survival, and invasion of tumor cells, inhibit the anti-tumor immunity, and mediate tumor-promoting inflammation to some extent.7 Emerging evidence has shown that it is a major oncogene in melanoma and validated as a target for melanoma therapy.8It is generally found that the non-traditional medicinal parts of Chinese medicine have the same or similar chemical constituents and functions as the traditional medicinal parts, and even new chemical constituents are separated from them.9 For example, Yang Fang et al isolated compounds 1, 5–7, and 10 from the Eucommia genus for the first time.10 Moreover, Eucommia ulmoides leaves were used instead of E. ulmoides to treat hypertension11 and hyperlipidemia12 in clinical practice, and the results were satisfactory. The dried pulp of ripe Cornus officinalis Sieb. et Zucc has the effects of tonifying liver and kidney and astringing. Modern pharmacological studies have shown that gallic acid, oleanolic acid, and ursolic acid contained in C. officinalis fruits have excellent anti-tumor activity.13–15 Moreover, some promising candidates for the prevention or treatment of metastatic melanoma, such as quercetin, (-)-epicatechin-3-O-gallate, flavanols, etc. are also present in C. officinalis.16–18 However, there is a scarcity of research on the chemical constituents and pharmacological activities of C. officinalis leaves. This indirectly leads to the waste of C. officinalis medicinal resources. In this study, we evaluated the anti-melanoma effects of SZYY in vivo and explored the role of STAT3 signaling, and thereby open up a new way for the development and utilization of C. officinalis leaves.
Materials and Methods
Chemicals and Reagents
High glucose Dulbecco’s modified Eagle’s Medium (DMEM, GIBCO, PA, USA). Fetal bovine serum (FBS, EVERY GREEN, China). Penicillin/streptomycin (P/S, GIBCO, USA). AG490 (HY-12000, MCE). 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and dimethyl sulfoxide (DMSO) (Solarbio, Beijing, China). Docetaxel (114977–28-5, aladdin, shanghai, china). IL-6 (Mouse IL-6 Flex Set, 558301, BD), IL-17A (Mouse IL-17A Flex Set, 560283, BD), TNF-α (Mouse TNF Flex Set, 558299, BD), IFN-γ (Mouse IFN-γ Flex Set, 558296, BD). DAPI staining reagent (G1012, servicebio, Wuhan, China). SZYY obtained from C. officinalis Planting Base in Taiping Town, Xixia County, Nanyang City, Henan Province, China.
Cell Culture
Human melanoma A375 cells, purchased from Procell Life Science & Technology Co., Ltd., were cultured in DMEM supplemented with 10% FBS and 1% penicillin/streptomycin and maintained at 37°C and 5% CO2. A375 cells successfully transfected with either Stat3C-expressing construct or the empty vector were generously donated by professor Yu from Hong Kong Baptist University. The STAT3-C Flag pRc/CMV construct was obtained from Addgene (USA). A375 cells were transfected with empty vector and the STAT3C-expressing construct for 48 h and cultured in DMEM supplemented with 10% FBS, 1% penicillin/streptomycin and G418 (300 μg/mL, 345810, EMD Millipore Corp).
Nude Mouse Xenograft Model
Male nu/nu BALB/c mice (5 weeks old), obtained from BEIJING HFK BIOSCIENCE CO., LTD., (License number: SCXK (Beijing) 2019–0008), were allowed to adapt to the new environment for 1 week. All procedures complied with the Guidelines for Care and Use of Laboratory Animals of Henan University of Chinese Medicine, and the experiments were approved by the Animal Ethics Committee of Henan University of Chinese Medicine (Ethics number: DWLL2018080003). A375 cells were resuspended in phosphate-buffered saline (PBS) to a final concentration of 1×107 cells per milliliter. Except the normal control group (n = 10, Con), each nude mouse was subcutaneously inoculated with 0.2 mL of A375 cell suspension into the back and kept for 7 days. After that, tumor-bearing mice were randomly divided into the model group (n = 10, M), the positive control group (treated with 20 mg/kg docetaxel) (n = 10, Y), the low dose group (treated with 200 mg/kg 50% acetone extract of C. officinalis leaves [SZYY]) (n = 10, SZYY-Low), and the high dose group (treated with 400 mg/kg SZYY) (n = 10, SZYY-High), and then intragastrically administered once every other day for 21 days. The Con and M groups were given the same amount of sterile water. Tumor size was measured via ultrasound every 7 days. On the 22nd day, the accumulation of 2-DG probe in tumor tissue was examined with near-infrared in vivo imaging. Cardiac function was detected by Doppler echocardiography. Blood was collected for subsequent detection of related cytokines in serum. The tumor and spleen were subjected to further analysis.
Flow Cytometric Analysis of Immune Cells
The fresh spleen tissue was ground on a 70 μm filter, and then washed with PBS to pass the cells through the 70 μm filter. About 5×105 primary cells from mice spleens were collected for each detection. The cells were resuspended in 300 μL of PBS and then incubated with anti-Ly-6G, anti-F4/80, anti-CD4, and anti-CD8 in the dark for 30 min at 25°C. After washing twice with PBS, the cells were subjected to flow cytometry analysis (FACS Aria™ III, BD) as soon as possible.
Cytometric Bead Array (CBA)
According to the manufacturer’s instructions, a 50 μL aliquot of serum from each sample was incubated with 50 μL microspheres at room temperature for 2 h in the dark. Subsequently, 50 μL PE-conjugated IL-6, IL-17A, TNF-α, or IFN-γ antibody was added and samples were incubated at room temperature for 1 h in the dark. Following washing with CBA wash buffer, the samples were re-suspended in 500 μL buffer. The content of cytokines was measured by flow cytometry, and the results were analyzed by flow cytometry. Standard curves were plotted based on the increasing concentrations of the reference standards.
Determination of Apoptosis and ROS in the Tumor Tissues
The fresh tumor tissue was cut into 1 mm pieces, washed twice with PBS and centrifuged for 2 min each (4°C, 1500 rpm), and then the supernatant was discarded. The shredded tissue was digested using trypsin (0.25%) at room temperature for 3 min, and digestion was terminated by adding a small amount of serum. Subsequently, the cells were collected by using PBS to rinse the tissue and filtering through a 70 μm filter. According to the manufacturer’s instructions, the evaluation of apoptotic effects in tumor cells was conducted by Annexin V-PE/7-AAD double staining using the PE Annexin V Apoptosis Detection Kit I (559763, BD), and the detection of ROS levels in the tumor tissues was performed using DCFH-DA fluorescent probes (CA1410, Solarbio). Flow cytometry was applied to samples, followed by data analysis.
Near-Infrared in vivo Imaging
Aerobic glycolysis, characterized by high glucose uptake, of cancer cells generally is abnormally elevated to meet the requirements for survival and rapid growth.19 Therefore, 2-DG, an analog of glucose, can be used to reflect the level of aerobic glycolysis in the tumor. Maximum absorption wavelength and maximum emission wavelength are 774 and 789 nm, respectively. Mice were injected with the IRDye® 800CW 2-DG optical probe (C71103-07, LI-COR Biosciences, USA) through the tail vein,20 and scanned with a near-infra red fluorescence imaging system (Pearl, Li-COR Biosciences, USA) 14 h later. The fluorescence signal in the specified area was normalized analysis using Pearl Image Studio v3.1 software (Li-COR Biosciences, USA).
Western Blot Analysis
The total protein of tumor tissue was collected with RIPA protein lysate, and the protein concentration was detected using a BCA protein quantification kit (PC0020, Solarbio). For Western blotting, proteins (60 μg/sample) from tumor tissue lysates were subjected to 10% SDS-PAGE and then transferred to PVDF membranes using a semi-dry system (Bio-Rad). Subsequently, the membranes were blocked with 5% BSA for 90 min at room temperature and then incubated with primary antibodies at 4°C overnight, including antibodies against STAT3 (1: 1000, #9139S, CST), p-STAT3 (1: 2000, #9145S, CST), Ki-67 (1: 100, MA5-14520, ThermoFisher), Mcl-1 (1: 1000, MA5-32060, ThermoFisher), Bcl-xL (1: 1000, MA5-15142, ThermoFisher), Bcl-2 (1: 50, MA5-11757, ThermoFisher), cleaved caspase-3 (1:500, ab49822, Abcam), and beta Actin (1:1000, ab8226, Abcam). Finally, the goat anti-rabbit IgG (925–6807, LI-COR) or goat anti-mouse IgG (925–32210, LI-COR) secondary antibody was added and incubated with membranes for 1 h at room temperature. The protein bands were scanned using two-color infrared laser imaging system (ODYSSEY CLX, USA) and analyzed using the Image Studio software.
Cell Viability Assay
A375 cells were seeded into 96-well plates (3599, Corning, USA) at 4000 cells/well and treated with either vehicle control (DMSO) or a compound separated from SZYY for 48 h. Subsequently, 20 µL MTT solution (5 mg/mL) was added to each well and samples were incubated for 4 h at 37°C. After removing the medium, 150 μL DMSO was added to dissolve the violet crystal. The OD value at a wavelength of 490 nm was measured with an EPOCH microplate reader (BioTek, VT, USA) after shaking for 10 min. Cell viability was determined by comparing OD values with those of vehicle-treated control cells (100%).
Cell Migration Assay
A375 cells were seeded into 96-well plates at 4000 cells/well and divided into the control, AG490 (10 μM), Loganin (50 μM), Rutin (50 μM), Triohimas C (50 μM), Triohimas D (50 μM), AG490 + Loganin (10 μM+50 μM), AG490 + Rutin (10 μM+50 μM), AG490 + Triohimas C (10 μM+50 μM), and AG490 + Triohimas D (10 μM+50 μM) treatment groups. The migration dynamics of cells were monitored by Digital Phase Contrast of the the High Content Screening System (Opera Phenix, PerkinElmer, Shanghai, China) for 48 h at 37°C and 5% CO2.
In-Cell Western
The cell layers were fixed with 3.7% paraformaldehyde at room temperature for 20 min and then permeabilized by washing five times with 0.1% Triton X-100 for 5 min each time. Subsequently, the cell monolayers were blocked with 5% BSA for 90 min and then incubated with antibodies against JAK2 (1:50, PA5-11267, ThermoFisher), p-JAK2 (1:500, PA5-105889, ThermoFisher), Src (1:50, MA5-11173, ThermoFisher), p-Src (1 μg/mL, 44–662G, ThermoFisher), STAT3, or p-STAT3 for overnight at 4°C. After washing with 0.2% PBST, the cell layers were stained with goat anti-rabbit IgG or goat anti-mouse IgG, washed, imaged with a two-color infrared laser imaging system, and analyzed using the Image Studio software.
Immunofluorescence Assay
A375 cells were seeded into 96-well plates at 4000 cells/well and divided into the control, AG490 (10 μM), Loganin (50 μM), Rutin (50 μM), Triohimas C (50 μM), and Triohimas D (50 μM) groups. Following treatment for 48 h, the cells were fixed using 4% paraformaldehyde for 15 minutes and then permeabilized with 0.25% Triton X-100 (#T8200, Solarbio) for 10 minutes. Subsequently, the cell monolayers were blocked with 1% BSA for 30 min at room temperature and then incubated with primary antibodies at 4°C overnight, including antibodies against JAK2, p-JAK2, Src, p-Src, and STAT3. After washing with PBS, Alexa Fluor-conjugated goat anti-rabbit (2 µg/mL, A-21206, ThermoFisher) or anti-mouse (2 µg/mL, A-21235, ThermoFisher) secondary Antibody was added and incubated with samples for 1 h at room temperature. Finally, the cell monolayers were counterstained with DAPI (2 μg/mL, G1012, Servicebio) for 5 min. Typical images were obtained by scanning with 63× water mirror on the High Content Screening System.
Chromatographic Conditions
Fingerprint characterization of SZYY was carried out by using high performance liquid chromatography coupled with photodiode array detection (HPLC-DAD). Loganin, triohimas C, triohimas D, and rutin isolated from SZYY in our laboratory served as reference compounds for quantification. For separation, a Symmetry C18 Column (100A, 5um, 4.6mm x 250mm, 1/pkg) was employed with a mobile phase consisting of acetonitrile (eluent A) and 0.1% formic acid aqueous solution (eluent B) at a rate of 1.0 mL/min. The applied gradient was as follows: 0−15 min, 5% A; 15−30 min, 5–8% A; 30−50 min, 8%−13% A; 50−70 min, 13−23%; 70−85 min, 23−30% A; and 85−90 min, 30−5% A. After a 10-min equilibration period, samples with a volume of 5 μL were injected into the column. The column temperature was kept at 30°C and the measurement wavelength was set at 254 nm. The external standard method was used to calculate the content of the four components in SZYY. For the preparation of reference solution, 1 mg of loganin, triohimas C, triohimas D, or rutin was weighed accurately in 10 mL volumetric flasks, dissolved, and diluted to the mark with methanol, followed by sonication for 30 minutes. For the preparation of test solution, 0.1 g of SZYY was precisely weighed into a 10-mL volumetric flask, dissolved, and diluted to the mark with 17% acetonitrile aqueous solution. During this process, it is necessary to shake continuously and sonicate for 30 minutes. After centrifugation, insoluble materials were filtered out with 0.45-μm microporous membranes. The extraction rate of SZYY is about 32%.
Statistical Analysis
Data analysis was performed using SPSS 20.0 (IBM, NY, USA). The results are presented as the mean ± standard deviation (S.D.). The measurement data of multiple groups were compared with one-way ANOVA followed by LSD’s test, or a Student’s t-test where appropriate. In all analyses, P<0.05 was taken to indicate statistical significance.
Results
SZYY Inhibited the Growth of A375 Melanoma Xenograft in Mice and Improved Cardiac Function
Ultrasound scanning results (Figure 1A) revealed that on the 21st day, the relative tumor volume of the Y, SZYY-Low and SZYY-High groups were 20.53%, 28.57% and 24.57% of that of the model group, respectively. SZYY inhibited the growth of A375 melanoma xenograft in mice (Figure 1B and C). Simultaneously, the reduction in LVEF and LVFS of the model group mice could be efficiently reversed by SZYY (p<0.01) (Figure 1D). LVEF and LVFS are important parameters for evaluating left ventricular function. Western blot results showed the protein levels of Ki-67, a cell proliferation marker, in tumor tissues of SZYY groups were also significantly decreased compared with the model group (p<0.01) (Figure 1E). Consistently, the accumulation of 2-DG probes in tumor tissues was decreased observably by SZYY (p<0.01) (Figure 1F).
Figure 1
SZYY inhibited A375 melanoma xenograft growth and improved cardiac function. (A) Relative tumor volume = tumor volume/tumor volume measured the first time. Data obtained by ultrasound. (B and C) Photos of tumor-bearing mice and tumors dissected from mice. The subcutaneous neoplasms are shown as the arrows and circles. (D) Effects on cardiac function (LVEF and LVFS) were detected via ultrasound. (E) Effects on Ki-67 in tumor tissue were detected via Western blot. (F) Representative images showed the fluorescent signal of 2-DG probe in mice at 14 h and quantitative result. X ± SD. n = 3 mice per group. **p < 0.01 vs model group.
SZYY inhibited A375 melanoma xenograft growth and improved cardiac function. (A) Relative tumor volume = tumor volume/tumor volume measured the first time. Data obtained by ultrasound. (B and C) Photos of tumor-bearing mice and tumors dissected from mice. The subcutaneous neoplasms are shown as the arrows and circles. (D) Effects on cardiac function (LVEF and LVFS) were detected via ultrasound. (E) Effects on Ki-67 in tumor tissue were detected via Western blot. (F) Representative images showed the fluorescent signal of 2-DG probe in mice at 14 h and quantitative result. X ± SD. n = 3 mice per group. **p < 0.01 vs model group.
SZYY Promoted Apoptosis and the Production of Reactive Oxygen Species (ROS) in the Tumor Tissues
In comparison with the model group, the apoptosis percentages and ROS production in tumor tissues were significantly increased due to administration of SZYY (p<0.01) (Figure 2A and B). In addition, some apoptosis related proteins were determined by Western blot. As shown in Figure 2C, caspase-3 was obviously upregulated, while Mcl-1, Bcl-xL, and Bcl-2 were significantly downregulated by SZYY (p<0.01). Moreover, the level of Survivin in tumor tissue was also decreased by SZYY compared with the model group (Figure 4B).
Figure 2
SZYY promoted apoptosis and ROS production in the tumor tissues. (A) The percentage of apoptosis in tumor tissues. (B) The production of ROS in tumor tissues. (C) Effects on Mcl-1, Bcl-xL, Bcl-2 and cleaved caspase-3 in tumor tissues were detected via Western blot. X ± SD. n = 3 mice per group. **p < 0.01 vs model group. Con: the normal control group; M the model group; Y the positive control group (docetaxel, 20 mg/kg); Low: the low dose group (SZYY, 200 mg/kg); High: the high dose group (SZYY, 400 mg/kg).
Figure 4
SZYY restrained phosphorylation/activation of STAT3 and the expression of angiogenic factors in melanoma xenografts. (A) Expression of STAT3 (green), p-STAT3 (red) in melanoma slices was evaluated by immunofluorescent double staining. Scale bar =50μm. (B) Expression of CD31 (green), Survivin (red) in melanoma slices was evaluated by Immunofluorescent double staining. Nuclei, blue. Scale bar =100μm. (C) The activation of STAT3 was measured by Western blot. (D) Expression of VEGF-A, BFGF and HGF in melanoma xenografts was detected by Immunohistochemistry (×40). Scale bar =50μm. X ± SD; n = 3 mice per group; **p < 0.01 vs model group.
SZYY promoted apoptosis and ROS production in the tumor tissues. (A) The percentage of apoptosis in tumor tissues. (B) The production of ROS in tumor tissues. (C) Effects on Mcl-1, Bcl-xL, Bcl-2 and cleaved caspase-3 in tumor tissues were detected via Western blot. X ± SD. n = 3 mice per group. **p < 0.01 vs model group. Con: the normal control group; M the model group; Y the positive control group (docetaxel, 20 mg/kg); Low: the low dose group (SZYY, 200 mg/kg); High: the high dose group (SZYY, 400 mg/kg).
SZYY Improved the Immune Function of Tumor-Bearing Mice and Reduced Inflammation
As the main immune organ of BALB/c nude mice, the spleen plays a critical role in the initiation of the immune response. To determine the influence of SZYY on the immune function of these tumor-bearing mice, flow cytometry was employed to analyze the levels of immune cells in the spleens. As shown in Figure 3A and C, SZYY-Low exhibited significantly increased the percentages of neutrophils (Ly-6G+), macrophages (F4/80+), and Th cells (CD4+) in spleens compared to the model group (p<0.01), but no obvious influence on Tc cells (CD8+) (p>0.05). CBA was performed to detect the levels of cytokines in serum. As shown in Figure 3B and D, the levels of IL-6, IL-17A, TNF-α, and IFN-γ in serum in the model group were significantly increased compared with the normal group (p<0.01), but which could be significantly decreased by SZYY (p<0.01).
Figure 3
SZYY enhanced immune function of the spleen and improve the immune microenvironment of tumor-bearing mice. (A) Flow cytometry strategy. Relative counts of leukocyte subgroups were quantified by gating on Ly-6G+ for neutrophils, F4/80+ for macrophages and CD4+/CD8+ for lymphocytes. (B) The representative peak graphs of IL-6, TNF-α, IFN-γ and IL-17A were obtained by FACS software. (C) Quantitative analysis of neutrophils (Ly-6G+), macrophages (F4/80+) and lymphocytes (CD4+/CD8+) in spleen. (D) Quantitative analysis of IL-6, TNF-α, IFN-γ and IL-17A in serum. X ± SD. n = 3 mice per group. **p < 0.01 vs model group.
SZYY enhanced immune function of the spleen and improve the immune microenvironment of tumor-bearing mice. (A) Flow cytometry strategy. Relative counts of leukocyte subgroups were quantified by gating on Ly-6G+ for neutrophils, F4/80+ for macrophages and CD4+/CD8+ for lymphocytes. (B) The representative peak graphs of IL-6, TNF-α, IFN-γ and IL-17A were obtained by FACS software. (C) Quantitative analysis of neutrophils (Ly-6G+), macrophages (F4/80+) and lymphocytes (CD4+/CD8+) in spleen. (D) Quantitative analysis of IL-6, TNF-α, IFN-γ and IL-17A in serum. X ± SD. n = 3 mice per group. **p < 0.01 vs model group.
SZYY Restrained Phosphorylation/Activation of STAT3 in Melanoma Xenografts and Inhibited the Expression of Angiogenic Factors
To further investigate the underlying mechanisms of the anti-melanoma effect of SZYY, the expression of STAT3 and p-STAT3 in tumor tissues were examined. Compared with the model group, administration of Y and SZYY significantly inhibited the phosphorylation of STAT3 at the tyrosine 705 (Tyr705) site (p<0.01), while there was no effect on total STAT3 expression (p>0.05) (Figure 4A and C). In addition, as shown in Figure 4B and D, the expression levels of CD31, VEGF-A and BFGF were decreased in tumor tissues by SZYY compared with the model group, suggesting that SZYY could restrain tumor angiogenesis. Survivin (green) and CD31 (red) positive fluorescent staining overlapped (yellow) in tumor tissues (Figure 4B).SZYY restrained phosphorylation/activation of STAT3 and the expression of angiogenic factors in melanoma xenografts. (A) Expression of STAT3 (green), p-STAT3 (red) in melanoma slices was evaluated by immunofluorescent double staining. Scale bar =50μm. (B) Expression of CD31 (green), Survivin (red) in melanoma slices was evaluated by Immunofluorescent double staining. Nuclei, blue. Scale bar =100μm. (C) The activation of STAT3 was measured by Western blot. (D) Expression of VEGF-A, BFGF and HGF in melanoma xenografts was detected by Immunohistochemistry (×40). Scale bar =50μm. X ± SD; n = 3 mice per group; **p < 0.01 vs model group.
SZYY Reduced the Viability of A375 Cells and Inhibited Their Migration Ability
To study the pharmacological basis of the anti-melanoma effects of SZYY, the effects of 13 compounds from SZYY on A375 cells were investigated. Results showed that loganin, triohimas C, triohimas D, and rutin could inhibit the proliferation of A375 cells (p<0.01) (Figure 5A). Next, the effects of these four compounds on the migration ability of A375 cells were detected, and the AG490 treatment group was used as a positive control to compare the inhibition of STAT3 by the four compounds. AG490 is a tyrosine kinase inhibitor that can selectively inhibit JAK/Stat-3 activation. As shown in Figure 5B and C, loganin could significantly inhibit the migration of A375 cells (p<0.01), and so do triohimas C, triohimas D, and rutin to varying degrees (p<0.05). The above results were consistent with the results obtained by AG490 alone and AG490 combined with compounds (p<0.05, p<0.01). HPLC analysis showed the contents of loganin, triohimas C, triohimas D, and rutin in SZYY were 0.75%, 0.22%, 0.48%, and 0.19% respectively (Figure 6A–F).
Figure 5
Four compounds reduced the viability of A375 cells and inhibited their migration ability. (A) Effects of four compounds on A375 cells proliferation. (B and C) A375 cells migration ability detected via High Content Screening System. X ± SD. n = 6 per group. *p < 0.05, **p < 0.01 vs control group.
Figure 6
High Performance Liquid Chromatography (HPLC) chromatograms of standard and SZYY. (A–D) The chromatograms of loganin, triohimas C, triohimas D, rutin, respectively. (E) Chromatogram of mixed solution of 4 standard substances. (F) Chromatogram of the typical sample of SZYY. Peak identification: 1. Loganin, 2. Triohimas C, 3. Triohimas D, 4. Rutin.
Four compounds reduced the viability of A375 cells and inhibited their migration ability. (A) Effects of four compounds on A375 cells proliferation. (B and C) A375 cells migration ability detected via High Content Screening System. X ± SD. n = 6 per group. *p < 0.05, **p < 0.01 vs control group.High Performance Liquid Chromatography (HPLC) chromatograms of standard and SZYY. (A–D) The chromatograms of loganin, triohimas C, triohimas D, rutin, respectively. (E) Chromatogram of mixed solution of 4 standard substances. (F) Chromatogram of the typical sample of SZYY. Peak identification: 1. Loganin, 2. Triohimas C, 3. Triohimas D, 4. Rutin.
SZYY Reduced Constitutive STAT3 Phosphorylation and Inhibits STAT3 Nuclear Translocation
The effects of four compounds on the phosphorylation/activation of STAT3 in A375 cells were tested by cellular immunofluorescence and in-cell Western. The levels of p-STAT3 in A375 cells were reduced significantly upon treatment with the four compounds compared with the control group (p<0.01). In A375 cells co-treated with AG490 and compound, the expression of p-STAT3 was suppressed more obviously compared with the AG490 group (p<0.01) (Figure 7A). Furthermore, STAT3 expression in the nuclear part of A375 cells was decreased notably by the four compounds (p<0.01), which suggested that the four compounds could inhibit STAT3 nuclear translocation. Among them, triohimas D has the best nuclear translocation inhibition efficiency, which was equivalent to that of AG490 (Figure 7B). In addition, we also examined the levels of JAK2 and Src in A375 cells, both of which are upstream proteins of STAT3. According to our results (Figure 7C), JAK2 and Src were less affected by these compounds (p>0.05), except that p-JAK2 levels were observably reduced in the AG490 and AG490+ groups (p<0.01).
Figure 7
Four compounds restrained phosphorylation/activation and nuclear translocation of STAT3. (A) Phosphorylation of STAT3 in A375 cells was detected by In-cell Western. Histogram illustrated the relative levels of p-STAT3. (B) Representative fluorescent microscopy images of STAT3 nuclear translocation in A375 cells. Scale bar=50 μm. Histogram illustrated nuclear translocation ratio of STAT3 protein=Mean fluorescence intensity in the nucleus/Cells mean fluorescence intensity. (C) JAK2, p-JAK2, Src and p-Src proteins expression levels in A375 cells were examined by In-cell Western. Histogram illustrated the relative levels of p-JAK2. The fluorescence intensity was normalized to GAPDH. X ± SD. n = 3 per group. **p < 0.01 vs control group.
Four compounds restrained phosphorylation/activation and nuclear translocation of STAT3. (A) Phosphorylation of STAT3 in A375 cells was detected by In-cell Western. Histogram illustrated the relative levels of p-STAT3. (B) Representative fluorescent microscopy images of STAT3 nuclear translocation in A375 cells. Scale bar=50 μm. Histogram illustrated nuclear translocation ratio of STAT3 protein=Mean fluorescence intensity in the nucleus/Cells mean fluorescence intensity. (C) JAK2, p-JAK2, Src and p-Src proteins expression levels in A375 cells were examined by In-cell Western. Histogram illustrated the relative levels of p-JAK2. The fluorescence intensity was normalized to GAPDH. X ± SD. n = 3 per group. **p < 0.01 vs control group.
Overexpression of STAT3C Diminished the Inhibitory Effect of SZYY on A375 Cells
In order to further clarify the role of STAT3 in the occurrence and development of melanoma, we detected the effects of four compounds on the viability of A375 cells transiently transfected with either the empty vector or the STAT3C-expressing construct by the MTT assay. The total STAT3 and p-STAT3 levels were significantly increased in A375 cells transfected with STAT3C-expressing construct (p<0.01) (Figure 8A). As shown in Figure 8B, the viability of A375 cells transfected with STAT3C-expressing construct was less affected by four compounds compared with the cells transfected with the empty vector (p<0.01). STAT3C is an oncogenic mutant form of STAT3 that is constitutively active and continuously highly expressed in cells. The above results suggest that overexpression of STAT3 could effectively diminish the inhibitory effects of the four SZYY compounds on A375 cells.
Figure 8
The overexpression of STAT3 weakened the inhibitory effect of SZYY on cells. (A) Protein expression in A375 cells transiently transfected with either Empty vector or h-STAT3 were examined by In-cell Western. Histogram illustrated the relative levels of STAT3 and p-STAT3. The fluorescence intensity was normalized to GAPDH. (B) Effects of STAT3 overexpression on A375 cells proliferation inhibited by SZYY. X ± SD. n = 3 per group. ##p < 0.01 vs Empty vector control group. **p < 0.01 vs STAT3C control group. &p < 0.05, &&p < 0.01 vs cells transfected with the empty vector in each group.
The overexpression of STAT3 weakened the inhibitory effect of SZYY on cells. (A) Protein expression in A375 cells transiently transfected with either Empty vector or h-STAT3 were examined by In-cell Western. Histogram illustrated the relative levels of STAT3 and p-STAT3. The fluorescence intensity was normalized to GAPDH. (B) Effects of STAT3 overexpression on A375 cells proliferation inhibited by SZYY. X ± SD. n = 3 per group. ##p < 0.01 vs Empty vector control group. **p < 0.01 vs STAT3C control group. &p < 0.05, &&p < 0.01 vs cells transfected with the empty vector in each group.
Discussion
The incidence of malignant melanoma continues to rise worldwide, but the success rate of current treatment strategies for metastatic melanoma is relatively low, and most emerging anti-melanoma therapies have serious adverse reactions, which all highlight the necessity of developing safe and effective new targeted drugs for melanoma.21,22 Natural products and their derivatives have shown great potential in the prevention and treatment of human cancer,23,24 such as Vitexin,25 Morin,26 and Weimaining Capsules, a second-class anti-tumor drug successfully developed with tannin compounds as effective ingredients.27 This indicates that certain compounds derived from nature tend to have certain biological activities and are promising as new drugs for the treatment of diseases. Although C. officinalis has been reported to have various biological and pharmacological activities,17 there is a scarcity of research on the chemical constituents and pharmacological activities of C. officinalis leaves. Our study provides some new information about C. officinalis leaves used in the treatment of melanoma. Here, we will further discuss the internal mechanisms of SZYY against melanoma in terms of apoptosis, oxidative stress, angiogenesis, immune regulation, and STAT3 signaling.Apoptosis, as a kind of programmed cell death, is thought to be a non-inflammatory form of cell death and usually manifests as immunological silence.28 In cancer, de-regulated apoptotic signaling, particularly the activation of an anti-apoptotic systems, allows cancer cells to escape this program, leading to uncontrolled proliferation, resulting in tumor survival, therapeutic resistance, and recurrence of cancer.29 Here, we observed that SZYY inhibited the expression of the anti-apoptotic proteins Mcl-1, Bcl-xL, and Bcl-2 in tumor tissues and increased the level of caspase-3, an important apoptosis-executing protein (Figure 2C). These proteins are all regulated by STAT3 targeting. ROS are a group of short-lived, highly reactive oxygen-containing molecules that can induce DNA damage and affect the DNA damage response.30 The role of ROS in cancer is complicated, and there have been disagreements for a long time. Chiara Gorrini31 and Sarah-Maria Fendt32 et al considered that oxidative stress plays a dual role in both cancer formation and ROS-based anti-cancer treatment. At low to moderate levels, ROS act as signaling molecules that sustain cellular proliferation and differentiation and activate stress responsive survival pathways. However, excessive ROS production will promote apoptosis and damage cellular components.31 Therefore, although cancer cells exhibit consistently higher levels of ROS compared with normal cells, they can still induce targeted cell apoptosis/death by increasing oxidative stress above the toxicity threshold.33 In addition, several papers proved that the anti-cancer strategy that triggers ROS generation in cancer cells to induce apoptosis is indeed feasible.31,34–36 According to the present study, apoptosis and the production of ROS in tumor tissues were promoted by SZYY (Figure 2A and B), which suggests the increased level of oxidative stress in tumor tissue and the resulting apoptosis/death of tumor cells may also be one of the main mechanisms underlying the anti-melanoma effects of SZYY.STAT3 is constitutively activated in a majority of melanoma cell lines and tumor specimens.37 Studies have shown that STAT3 is involved in the regulation of fundamental biological processes such as cell proliferation, apoptosis, angiogenesis, metastasis, and immune responses.38 In this study, we found that SZYY could effectively inhibit the growth and glycolysis of melanoma xenografts in immunodeficient mice (Figure 1A–C and F). In addition, cancer therapeutics-related cardiac dysfunction is receiving more attention. Cardiotoxicity related to antitumor drugs, especially cardiac insufficiency, seriously affects the quality of life and prognosis of patients.39 Nevertheless, our results revealed that SZYY could effectively improve cardiac function of model mice (Figure 1D). Further research found that SZYY restrained the phosphorylation/activation of STAT3 in melanoma tissue and lowered the expression of Survivin and Ki-67 (Figures 4A–C and 1E). Survivin is a member of the inhibitor of apoptosis (IAP) gene family, which can inhibit apoptosis and regulate cell mitosis, but overexpression of Survivin in cancer does not simply reflect the presence of a large number of proliferating cells.40–42 The cell proliferation antigen Ki-67 is widely used as a cell proliferation marker. Its expression is lower during the G1 and early S phases, and reaches a maximum during the G2 and M phases.43,44 In addition, adequate supply of blood and oxygen and the timely elimination of metabolic waste products play pivotal roles in the growth of solid tumors. Therefore, when the activated tumor cells begin to form tumor masses, the “angiogenesis switch” in them will be turned on. Accumulating evidence suggests that STAT3 activates tumor angiogenesis by directly targeting multiple pro-angiogenic factors, including VEGF-A, BFGF, and HGF.4 VEGF-A, the founding member of the vascular permeability factor (VPF)/VEGF family of proteins, can not only stimulate angiogenesis by activating VEGFR-1 and VEGFR-2, but also induce peritumoral lymph angiogenesis and lymphatic metastasis in animal models.45 As with VEGF-A, basic fibroblast growth factor (BFGF) and hepatocyte growth factor (HGF), two other angiogenic factors are also involved in the angiogenesis process during tumorigenesis and development.46 Besides, CD31, a specific marker expressed on all cells within the vascular compartment, is able to reflect the density of blood vessels in tumor tissues, which is usually positively correlated with tumor growth and tumor metastasis.47,48 In this study, we observed that the expression levels of CD31, VEGF-A and BFGF in tumor tissue were reduced by SZYY (Figure 4B and D). Based on this result, we hypothesize that SZYY inhibits tumor angiogenesis via suppressing the expression of CD31, VEGF-A and BFGF.On the other hand, STAT3 is a vital negative regulator of tumor immune surveillance. Its continuous activation can inhibit the body’s anti-tumor immunity, but inhibiting STAT3 in tumor-bearing hosts can enhance the body’s innate and adaptive immune responsiveness to tumors.49 Our results show that in the SZYY-Low group, the relative abundance of Ly-6G+ neutrophils, F4/80+ macrophages, and CD4+ lymphocytes were significantly altered (Figure 3A and C). Besides, the processes of interaction between immunocytes from different origins and different cytokines forms the basis of the immune system.50 IL-6, IL-17A, TNF-α and IFN-γ are all regulated by STAT34 and play crucial roles in coordinating the activities of the innate and adaptive immune systems.51–54 We observed by CBA that the levels of IL-6, TNF-α, IFN-γ, and IL-17A in serum were reduced by SZYY (Figure 3B and D). These results revealed that the immune enhancement of SZYY may be achieved through regulating immune cells and the expression of these cytokines in tumor-bearing mice, which may be related to the suppression of STAT3 signaling.To further explore the pharmacological basis of the anti-melanoma effects of SZYY, the effects of compounds extracted from SZYY on the proliferation of A375 cells were determined. We found that four of them have anti-tumor pharmacological activities, namely, loganin, triohimas C, triohimas D, and rutin. They all could inhibit the proliferation and migration of A375 cells (Figure 5A–C). At present, some studies have been conducted on the anti-tumor effects of loganin and rutin.13,55–57 However, there is a scarcity of reports of the pharmacological activity of triohimas C and triohimas D.58,59 Further research found loganin, triohimas C, triohimas D, and rutin could inhibit STAT3 phosphorylation/activation and nuclear translocation (Figure 7A and B). Nevertheless, the inhibitory effects of SZYY on A375 cell viability could be partially diminished due to persistent overexpression of STAT3 (Figure 8A and B). Interestingly, JAK2 and Src were less affected by these compounds (Figure 7C), which indicates that these four compounds could exert anti-melanoma effects via inhibiting the phosphorylation/activation of STAT3.
Conclusion
Our results show that SZYY could inhibit the growth of mouse melanoma xenografts, and its effects may be partly achieved by inhibiting STAT3 signaling to induce apoptosis and inhibit tumor angiogenesis. Further experiments have shown that loganin, rutin, triohimas C and triohimas D may be the active ingredients in SZYY to exert anti-melanoma effects through STAT3 signaling. These findings show the pharmacological effects of SZYY against melanoma at the molecular level and provide an experimental basis for the development of natural anti-melanoma drugs.
Authors: Nian Liu; Kuan Song Wang; Min Qi; Ying Jun Zhou; Guang Yao Zeng; Juan Tao; Jian Da Zhou; Jiang Lin Zhang; Xiang Chen; Cong Peng Journal: J Exp Clin Cancer Res Date: 2018-11-06