The inhibitory effects of butein on cell proliferation and TNF-α-induced CCL2 release in racially different triple negative breast cancer cells
Authors:
Patricia Mendonca aff001; Ainsley Horton aff001; David Bauer aff001; Samia Messeha aff001; Karam F. A. Soliman aff001
Authors place of work:
College of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, Florida, United States of America
aff001
Published in the journal:
PLoS ONE 14(10)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0215269
Summary
Drug resistance is the leading cause of breast cancer-related mortality in women, and triple negative breast cancer (TNBC) is the most aggressive subtype, affecting African American women more aggressively compared to Caucasians women. Of all cancer-related deaths, 15 to 20% are associated with inflammation, where proinflammatory cytokines have been implicated in the tumorigenesis process. The current study investigated the effects of the polyphenolic compound butein (2′,3,4,4′-tetrahydroxychalcone) on cell proliferation and survival, as well as its modulatory effect on the release of proinflammatory cytokines in MDA-MB-231 (Caucasian) and MDA-MB-468 (African American) TNBC cell. The results obtained showed that butein decreased cell viability in a time and dose-dependent manner, and after 72-h of treatment, the cell proliferation rate was reduced in both cell lines. In addition, butein was found to have higher potency in MDA-MB-468, exhibiting anti-proliferative effects in lower concentrations. Apoptosis assays demonstrated that butein (50 μM) increased apoptotic cells in MDA MB-468, showing 60% of the analyzed cells in the apoptotic phase, compared to 20% in MDA-MB-231 cells. Additionally, butein downregulated both protein and mRNA expression of the proinflammatory cytokine, CCL2, and IKBKE in TNFα-activated Caucasian cells, but not in African Americans. This study demonstrates butein potential in cancer cell suppression showing a higher cytotoxic, anti-proliferative, and apoptotic effects in African Americans, compared to Caucasians TNBC cells. It also reveals the butein inhibitory effect on CCL2 expression with a possible association with IKBKE downregulation in MDA-MB-231 cells only, indicating that Caucasians and African Americans TNBC cells respond differently to butein treatment. The obtained findings may provide an explanation regarding the poor therapeutic response in African American patients with advanced TNBC.
Keywords:
Cytokines – Cancer treatment – Enzyme-linked immunoassays – apoptosis – Protein expression – Cell proliferation – breast cancer – African American people
Introduction
The increasing drug resistance in breast cancer therapy is the leading cause of cancer-related mortality in women [1]. In 2018, there was an estimated number of 266,000 new cases of invasive breast cancer to be diagnosed in the U.S., alongside 64,000 new cases of non-invasive breast cancer [2]. Breast cancer is classified into three major therapeutic subtypes: estrogen and/or progesterone receptor-positive (ER+, PR+), HER2+, and triple-negative breast cancer (TNBC) (lacking expression of ER, PR, and HER2) [3,4]. TNBC covers 15 to 20% of all breast cancers [5]. TNBC is more common in African American compared to other ethnic groups [6,7] and associated with a worse clinical outcome and higher mortality. [8,9]. TNBC subtypes respond differently to the treatment, challenging, even more, the development of target therapy with certain chemotherapeutics that may be safe and effective at the same time [4,10].
Compounds isolated from medicinal plants have been explored as a source of novel agents [11–13] with promising therapeutic potential with reduced adverse side effects. [14–16]. Butein (2’,3,4,4’-tetrahydroxychalcone) is a polyphenol compound found in several plants, including Semecarpus anacardium, Dalbergia odorifera, and Rhus verniciflua Stokes [17]. In Asian countries, butein has been used in herbal medicine formulations and as a food additive [18]. Also, butein exhibits a variety of pharmacological properties, including anti-inflammatory, antioxidative, and antimicrobial activities [19,20].
Breast cancer cell studies showed that butein inhibits ER+ MCF-7 cells growth [21], and blocks CXCL12-induced migration and invasion of human epidermal growth factor receptor 2 positive (HER2+) in SKBR-3 breast cancer cells by repressing NFқB-dependent CXCR4 expression [22]. Moreover, butein induced-apoptosis in MDA-MB-231, through ROS generation and ERK1/2 and p38MAPK dysregulation [23]. These findings show butein potential as a promising chemopreventive and chemotherapeutic agent for breast cancer [24].
In addition to breast cancer heterogeneity [25], tumor development and disease progression are influenced by the existence of the relationship between cancer and stromal cells at the tumor site [26–29], set by inflammatory cytokines, which are the crucial link between chronic inflammation and carcinogenesis [30–33]. Chronic incidence of TNF-α [34–36] and IL-1β [37–44] in tumors stimulate pro-tumoral effects in several cancers, showing that these two cytokines are potential targets for cancer therapy [39,45–47].
Despite the availability of evidence confirming butein effectiveness in tumor suppression, there is meager research information regarding its influence on the tumor cell response to proinflammatory cytokines, specifically TNF-α. In breast cancer, high concentrations of TNF-α can activate receptors and trigger a potent and persistent activation of NFқB signaling [48,49], epithelial-to-mesenchymal transition [50], and continuous release of diverse chemokines, including CCL2 and CCL5 [51]. These chemokines may initiate an inward migration of numerous leukocyte sub-populations (LPSs), including tumor-associated macrophages [52], myeloid-derived suppressor cells [53], tumor-associated neutrophils [54,55], T-regulatory [56], metastasis-associated macrophages, T helper IL-17-producing cells, and cancer-associated fibroblasts [57], which may bear CCR2 / CCR5 receptors, driving tumor aggression [36,58]. Therefore, chemokines are recognized as key trafficking molecules produced by cancer cells in response to TNF-α stimulation, and able of driving LSPs recruitment [31,59–61].
Although evidence in the literature show butein potential in protecting against and suppressing cancer, there are no studies to compare the effect of this compound on TNF-α-induced CCL2 release in Caucasian and African American breast cancer cell lines. Therefore, the present work was designed to investigate the effect of the polyphenol compound butein on TNF-α- activated ethnically different TNBC cells on cell viability, cell proliferation, and the release of proinflammatory cytokines.
Materials and methods
Cell lines, chemicals, and reagents
MDA-MB-231 (derived from Caucasian American TNBC) and MDA-MB-468 (derived from African American TNBC) were purchased from American Type Culture Collection (ATCC). Dulbecco’s modified Eagle’s medium (DMEM) high glucose; fetal bovine serum heat inactivated (FBS-HI), penicillin/streptomycin and Hank’s Balanced salt solution (HBSS) were obtained from Genesee Scientific (San Diego, CA, USA). Dimethyl sulfoxide (DMSO), butein, and Alamar Blue® were purchased from Sigma-Aldrich Co. (St. Louis, MO, USA). Human cytokine antibody arrays (Cat# AAH-CYT-6-4), ELISA assays for MCP-1 (Cat# ELH-MCP1–1), Annexin V-FITC apoptosis Kit (Cat# 68FT-AnnV-S100), and tumor necrosis factor alpha (TNF-α) were purchased from RayBiotech (Norcross, Ga, USA). PCR primers, iScript advanced reverse transcriptase kit, and Bradford reagent were purchased from Bio-Rad (Hercules, CA, USA). DNA-free™ Kit (Cat # AM1907) from Life Technologies Inc. (Grand Island, NY, USA).). All reagents and plates for Western assays were purchased from ProteinSimple (San Jose, CA, USA). Primary antibodies were purchased from Cell Signaling (Danvers, MA, USA). The list of primary antibodies and their characteristics are described as follows (Table 1):
Cell culture
MDA-MB-231 and MDA-MB-468 TNBC cells were cultured in DMEM supplemented with 10% FBS-HI and 1% penicillin (100 U/ml)/ streptomycin (0.1 mg/ml) and incubated in an atmosphere of 5% CO2 and 37°C. Cells were sub-cultured in T-75 flasks and grown to 90% confluency before setting the cells for each assay. Plating media for each experiment consisted of DMEM, with 2.5% of FBS-HI, with no penicillin/streptomycin.
Cell viability and cell proliferation
Alamar Blue® (Resazurin) assay was used to assess MDA-MB-231 and MDA-MB-468 cell viability and cell proliferation. Briefly, 96-well plates were seeded with cells at a density of 3×104 cells/100 μl/well for cell viability and 5×103 cell/well for cell proliferation studies and then incubated overnight in experimental media to attach. The next day, the cells were treated as follows: control (media only), control (cells + DMSO), and cells treated with different concentrations of butein (0.78–200 μM). Butein was dissolved in DMSO before dilution in the media, and the final concentration of DMSO did not exceed 0.1%. In the proliferative assay, Taxol (1 μM) was used as a positive control. The volume of 100 μl of each treatment was added to the plate-containing cells. Butein effect was measured after different periods of 24, 48, and 72 h incubation for cell viability, and after 72 h incubation for cell proliferation. The amount of 20 μl of Alamar Blue® solution (0.5 mg/ml) was added to the plate and incubated again for 4 h. Quantitative analysis of dye conversion was measured at an excitation/emission of 550/580 nm wavelengths using a microplate reader Infinite M200 (Tecan Trading AG). Viable cells were able to reduce resazurin to resorufin, resulting in fluorescence changes. The fluorescent signal was proportional to the number of living cells in the sample, and the data were expressed as a percentage of alive untreated controls. Cell proliferation was calculated based on the percentage of cell growth observed in the control samples.
Apoptosis assay
The effect of butein in inducing apoptosis was determined in MDA-MB-231 and MDA-MB-468 cells by using Annexin V-FITC Apoptosis assay Kit from RayBiotech. Briefly, each cell line was seeded at an initial concentration of 5×105 cell/well in 6-well plates and incubated overnight. Cells were treated with butein at concentrations ranging between 0–200 μM in a final volume of 3 ml/well of experimental media to induce apoptosis. Control cells were exposed to DMSO at a concentration < 0.1%. After 24 h incubation period, controls and treated cells from each well were harvested, pelleted, and washed with PBS. According to the manufacture’s protocol, the cell pellets were resuspended in 500 μl of 1X Annexin -V binding buffer, then labeled with 5 μl of Annexin V-FITC, and 5 μl propidium iodide. The apoptotic effect was quantified within 5–10 min by FACSCalibur Flow cytometer (Becton Dickinson, San Jose, CA, USA). For each sample, 1 × 104 cells were examined, and CELLQuest software was used for data analysis.
Human cytokine antibody array membrane
RayBiotech human cytokine antibody arrays were used to study the effect of butein on 60 cytokine proteins released by TNF-α-activated TNBC cells. Each experiment was performed in triplicate and according to the manufacturer’s instructions. Shortly, antibody-coated array membranes were first incubated for 30 min with 1 ml of blocking buffer. Then, blocking buffer was decanted and replaced with 1 ml supernatant from cells exposed to the different treatments for a 24-h period. Treatments consisted of control (cells + DMSO) samples, cells treated with butein (5 μM), TNF-α (40 ng/ml), and the combination of butein (5 μM) + TNF-α (40 ng/ml). Membranes were incubated overnight at 4°C with mild shaking. The next day, the media were decanted; membranes were washed, and subsequently incubated with 1 ml biotin-conjugated antibodies for 2 h. Lastly, biotin-conjugated antibodies were removed, and membranes were washed again and incubated with HRP-conjugated streptavidin for 2 h. In this assay chemiluminescent reagent was used and the image of spots was captured using a Flour-S Max Multi-imager (Bio-Rad Laboratories, Hercules, CA, USA), and the spot density was determined with Quantity One Software (Bio-Rad Laboratories, Hercules, CA). Excel-based data analysis was performed, using Human Cytokine Array software C1000 (CODE: S02-AAH-CYT-1000) from RayBiotech.
Human CCL2 (MCP-1) ELISA quantification
Supernatants were obtained from cells exposed to the different treatments for a 24-h period. Treatments consisted of control (cells + DMSO), butein-treated, TNF-α-stimulated, and co-treated (butein (5 μM) + TNF-α (40 ng/ml) TNBC cells were collected and centrifuged at 1000 rpm for 4 min at 4°C. Specific ELISA assays for CCL2 (MCP-1) was performed following the manufacturer’s instructions. Shortly, 100 μl of supernatants from each sample and standards were added to 96 well plates pre-coated with capture antibody and incubated for 2.5 h at room temperature under shaking. After washing, 100 μl of prepared biotinylated antibody mixture was added to each well and incubated for 1 h. The mixture was decanted, and 100 μl streptavidin solution was added to each well and incubated for 45 min. Substrate reagent (100 μl) was then pipetted into each well and incubated for 30 min, followed by the addition of 50 μl of stop solution. Samples were assayed at an optical density of 450 nm using Synergy HTX Multi-Reader (BioTek, USA).
Real time polymerase chain reaction (RT-PCR)
RNA extraction
After cells were exposed to the different treatments for 24 h, cells were harvested, and the cell pellets were obtained. The treatments consisted of control (cells + DMSO), butein-treated (5 μM), TNF-α-stimulated (40 ng/ml) and co-treated with butein (5 μM) + TNF-α (40 ng/ml). First, the cell pellet was lysed with 1ml TRIzol reagent. Then, chloroform (0.2 ml) was added to the lysed samples; the tubes were shaken, incubated at 15–30°C for 2–3 min, and centrifuged at 10,000 rpm for 15 min at 2–8°C. Lysed samples (aqueous phase) were then transferred to a new tube, and mixed with 0.5 ml of isopropyl alcohol for RNA precipitation. After incubation (15 min), samples were centrifuged, the supernatant was removed, the RNA pellets were washed with 75% ethanol (by inverting the tubes carefully), and then centrifuged at 7,500 rpm for 5 min at 2–8°C. The RNA pellet was dried (room temperature), dissolved in RNase-free water, and incubated on ice (30 min). Finally, using Nanodrop (Thermo Fischer Scientific, Wilmington, DE, USA), RNA purity and quantity were determined.
cDNA synthesis and RT-PCR
The cDNA strands were synthesized from the mRNA using iScript advanced reverse transcriptase from Bio-Rad. A solution of 4 μl of the 5X iScript advanced reaction mix (containing primers), 1 μl of reverse transcriptase, 7.5 μl of the sample (1.5 μg/reaction), and 7.5 μl of water was combined in a 0.2 ml tubes, in a total volume of 20 μl. The thermal cycling program for the reverse transcription included two steps: 46°C for 20 min and then 95°C for 1 min. RT-PCR amplification was performed following the manufacturer protocol (Bio-Rad). A 1 μl of the sample (200 ng cDNA/reaction), 10μl of the master mix, 1 μl of primer, and 8 μl of water were combined into each well. The thermal cycling process included an initial hold step at 95°C for 2 min and denaturation at 95°C for 10 sec, followed by 39 cycles of 60°C for 30 sec (annealing/extension), and 65°C—95°C for 5 sec/step (melting curve) using the Bio-Rad CFX96 Real-Time System (Hercules, CA, USA). The selected primers were specific to each gene of interest. The UniqueAssay ID for CCL2/MCP1 primer was qHsaCID0011608, and the for IKBKE primer was qHsaCID0014831.
Capillary electrophoresis western analysis
Cells were exposed to different treatments for 24 h. The treatments consisted of control (cells + DMSO), butein-treated (5 μM), TNF-α-stimulated (40 ng/ml) and co-treated with butein (5 μM) + TNF-α (40 ng/ml). The next day, cells were harvested, washed twice with cold PBS, and centrifuged to obtain the cell pellet. Cells were then lysed with buffer containing protease inhibitor cocktail (total proteins) or protease plus phosphatase inhibitor cocktail (phosphorylated proteins). The concentration of protein was measured using Bradford reagent. Standards (5 μl) in concentrations ranging from 0 to 2 mg/ml or samples (5 μl) and 200 μl of protein assay reagent were added to the 96-well plate. Using a Synergy HTX Multi-Reader (BioTek, USA), the concentration of proteins was measured at 595 nm wavelength. Total and phosphorylated protein expression was determined using capillary electrophoresis western analysis (Wes, ProteinSimple, San Jose, CA, USA). Reagents and protocol for the assay were provided by ProteinSimple. First, the concentrations of antibody and protein to be used in the experiments were optimized by being tested in 3 different concentrations. From there, a specific concentration of antibody and protein was selected for further tests. Briefly, the protein samples (concentration: 0.13 mg/ml) were mixed with sample buffer, fluorescent molecular weight markers, dithiothreitol, and left in a heat block at 95°C for 5 min. The microplate was then loaded with blocking buffer, antibody (dilution 1:125), secondary antibody, chemiluminescent substrate, separation and stacking matrices, followed by centrifugation to remove bubbles. The microplate was placed in the instrument, and the electrophoresis and immunodetection occurred through the capillary system. This reaction identifies specific proteins by using primary and secondary antibodies and a chemiluminescent substrate. The chemiluminescence reaction and the digital image were analyzed by the software (ProteinSimple Compass).
Statistical analysis
Data analysis was performed using GraphPad Prism (version 6.07) (San Diego, CA, USA). All data points are expressed as the mean ± S.E.M. from at least 2 independent experiments. For the viability studies, the IC50 was determined by nonlinear regression with R2 best fit and lowest 95% confidence interval. Statistically significant differences between different groups in the experiments was assessed using a one-way ANOVA, followed by Dunnett’s multiple comparison tests (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001, and ns = p > 0.05). Gene expression was analyzed using the CFX 3.1 Manager software (Bio-Rad, Hercules, CA). Protein expression using capillary electrophoresis western was analyzed by ProteinSimple Compass software (San Jose, CA, USA).
Results
Butein effect on breast cancer cell viability was investigated in MDA-MB-231 and MDA-MB-468 cell lines after 24 h-treatment. Butein caused a concentration-dependent decrease in cell viability in both cell lines. Low concentrations of butein (from 0.78 to 6.25 μM) showed no cytotoxicity in MDA-MD-231; however, in MDA-MD-468, the decrease in cell viability was statistically significant (p < 0.0001) in the lowest concentration of 0.78 μM, compared to the control. The results indicate that butein effects on the two cell lines are different, causing higher cytotoxicity effect in MDA-MB-468 cells (Fig 1A). The cytotoxic effect of butein was also examined by incubating both cell lines with butein for 48 and 72 h. Results obtained indicate that cell viability rate was inversely correlated with the butein concentrations and exposure periods. At the 48-h incubation period, butein decreased the IC50s from 111.4 to 5.8 μM in MDA-MB-231, and from 33.8 to 8.7 μM in MDA-MB-468 cells. Further decrease in the cell viability was also measured at 72-h incubation period, reducing IC50s to 5.4 and 1.8 μM in MDA-MB-231 and MDA-MB-468, respectively (Fig 1B).
The anti-proliferation assays, based on the resazurin reduction, were performed to determine the potency of butein in inhibiting cell growth of both cell lines in comparison to the standard chemotherapy drug Taxol. Butein anti-proliferative effect was investigated through the measurement of the metabolic activity of the cells and their capacity to reduce resazurin after a 72-h period of incubation. The cells were treated with butein at concentrations ranging from 0.78 to 200 μM. In both cell lines, measurements of the proliferation rate after 72-h exposure time showed significant inhibition compared to the rate in the control groups. The decrease in cell proliferation rate was detected in a dose-dependent manner. In MDA-MB-468, butein started exerting its effect in a lower concentration (6.25 μM), compared to MDA-MB-231 cells (12.5 μM). However, in the highest concentration of 200 μM, butein inhibited over 70% of cell growth in both cell lines, presenting no significant difference in the anti-proliferative effect comparing MDA-MB-231 and MDA-MB-468 cells (p = 0.2785). Similar to Taxol after the 72-h treatment period, butein reduced breast cancer cells growth and showed its potency as an anti- proliferative agent (Fig 1C).
The apoptotic effect of butein was determined by flow cytometry using Annexin V-FITC/PI staining in cells exposed to butein for 24 h. Annexin V has a high affinity for the phospholipid phosphatidylserine. The phospholipid translocation is followed by the loss of membrane integrity, accompanied by later stages of cell death resulting from either apoptotic or necrotic processes. The results showed that the percentage of viable cells decreased in the presence of butein in both cell lines (Fig 2A and 2C). In MDA-MB-231 cells, there was a significant increase of early apoptosis and a progressive increase of late apoptosis with increasing concentrations of butein. Treatment with concentrations of 12.5 (lowest) and 200 μM (highest) of butein increased the percentage of apoptotic cells (early and late) from 18.7 ± 1.8% to 99.4 ± 0.37% (Fig 2B). Moreover, MDA-MB-468 cells were also sensitive to butein, presenting apoptosis in 90.1 ± 1.44% of the cells at the highest concentration of butein (200 μM) after 24-h treatment (Fig 2D). Comparing butein effect in both cell lines, we observed that in the higher concentrations of 100, and 200 μM, butein effect was very similar in both cell lines, but in the concentration of 50 μM, butein effect was significantly higher in MDA-MB-468 cells (p<0.001) compared to MDA-MB-231 cells.
In order to evaluate the relationship between the anti-cancer effects of butein treatment and its inhibitory effect on TNFα-activated proinflammatory cytokines, a semi-quantitative analysis using human antibody arrays was performed (Fig 3A). The results showed that TNF-α induced the upregulation of three specific cytokines: chemokine (C-C motif) ligand 2 (CCL2/MCP-1), insulin-like growth factor-binding protein 1 (IGFBP1), and interleukin-6 (IL-6) in MDA-MB-231 cells, although CCL2 was the only one upregulated in its counterpart MDA-MB-468 (Fig 3B and 3C). Butein presented a different effect in the two cell lines examined, inhibiting CCL2 expression in Caucasian, but not in African American cells. A dot blot intensity analysis of the arrays was performed using Quantity One software (Bio-Rad), and then each one of the dot spot intensities was normalized according to the positive controls found in the corners of each one of the membranes using RAYBIO ANALYSIS software (RayBiotech). The results obtained from TNF-α-stimulated cells and cells co-treated with butein and TNF-α show that butein attenuated TNF-α-induced CCL2 release significantly in MDA-MB-231 (4-fold inhibition), but not in MDA-MB-468 (Fig 4A and 4B). Normalized results also showed that butein treatment slightly inhibited the release of IL-6 in MDA-MB-231 cells, but there was no significant effect in the expression of IGFBP1 (Fig 4C and 4D).
ELISA quantitative assays specific for CCL2 and IL-6 were used to validate the cytokine array findings. The results confirmed that TNF-α induces upregulation of CCL2 expression in both breast cancer cell lines and IL-6 expression in MDA-MB-231 cells. Butein treatment was able to downregulate CCL2 cytokine only in MDA-MB-231, with no significant effect on MDA-MB-468 cells, corroborating with the findings of butein effect using the cytokine arrays (Fig 5A and 5B). However, butein did not show any significant effect over the expression of IL-6 in MDA-MB-231 cells (Fig 5C).
Quantitative real-time PCR was used to investigate butein effect in CCL2 gene expression in both breast cancer cell lines. The CCL2 increased expression data had a similar trend as the results in the cytokine arrays and ELISA assays. TNF-α-induced CCL2 expression was significant (p < 0.01) in both cell lines, compared to the control. Butein was effective in reducing CCL2 expression significantly (p < 0.05) in MDA-MB-231 cells only, causing inhibition of more than 50% in mRNA expression (Fig 5D and 5E). These results indicate that the changes in CCL2 expression caused by butein at the transcriptome level, follow the same pattern observed at the protein level.
To elucidate the possible signaling pathway related to the obtained findings, we investigated the changes in IKBKE mRNA expression. The results show that TNF-α upregulated IKBKE expression in both cells. TNF-α induced a 3.5 and 12.3-fold increase in mRNA expression in MDA-MB-231 and MDA-MB-468 cells, respectively, compared to the control. Although there was a higher expression of IKBKE in the TNF-α-stimulated MDA-MB-468 cells, butein co-treatment was only effective in MDA-MB-231 cells, inhibiting 37% of IKBKE mRNA expression (p < 0.05) (Fig 6A and 6B). To investigate the inhibitory effect of butein in IKBKE protein expression in MDA-MB-231 cells, we performed capillary electrophoresis western analysis with specific antibodies against total and phosphorylated IKBKE proteins. The results showed that TNF-α induced the expression of both of them in Caucasian cells, and their expression was significantly reduced when the activated MDA-MB-231 cells were treated with butein for 24 h (Fig 6C and 6D). These data demonstrate that IKBKE may be one of the NFқB signaling genes implicated in the TNF-α-induced CCL2 release and its down-regulation by butein.
Discussion
Polyphenolic compounds have received considerable attention for their use as a cancer chemopreventive and a chemotherapeutic agent. Previous in vitro studies showed butein cytotoxic and anti-proliferative effects on breast cancer cells, including MDA-MB-231 and MCF-7 [23,62], suggesting that butein might have similar effects in other breast cancer cell lines. However, there is no data comparing the effect of this compound in racially different TNBC cells. The current study shows butein anticancer properties in TNBC cells, specifically MDA-MB-231 and MDA-MB-468, representing Caucasians and African Americans. Overall the results obtained in our study provide more evidence for butein cytotoxicity towards both cell lines. However, the compound highly impacted MDA-MB-468 cells, in which lower concentrations were more effective in reducing cell viability (Fig 1A and 1B), and decreasing cell proliferation (Fig 1C). Also, the data show that butein induced apoptosis in both cell lines, increasing apoptotic cells ratio more effectively in MDA-MB-468 when lower concentrations were tested (Fig 2A, 2B, 2C and 2D).
Proliferative and anti-apoptotic effects have been described to be associated with NFқB signaling activation, which induces cell growth and arrests programmed cell death in multiple cell lines [63–65]. NFқB activation was found in ER negative breast cancer cell cultures [66], suggesting its role in proliferative pathways and cell death signals regulation [63–65]. NFқB can change cell homeostasis by inducing inflammatory processes, which have been described as a contributing factor in cancer development [67]. It is now clear that cell proliferation, by itself, doesn’t cause cancer. However, the uncontrolled proliferation in an environment rich in inflammatory cells, DNA damage inducers, and growth factors; all potentiate and/or increases the chances of tumor development [68].
Since there are many supporting evidence indicating the association of chronic inflammation with infection and irritation may promote the environment that leads to DNA lesions and tumor initiation [69], the current study investigated butein ability to inhibit TNF-α-mediated release of proinflammatory cytokines. The obtained findings in the current study show that butein attenuated the expression of CCL2, at both protein and mRNA levels in MDA-MB-231, but not in MDA-MB-468 cells (Figs 4A, 4B, 5A, 5B, 5D and 5E), demonstrating butein ability to inhibit CCL2 release only in Caucasians TNBC cells. CCL2 belongs to the C-C chemokines group and has been identified as an inflammatory modulator, which regulates macrophage recruitment during infection, the healing process, and autoimmune diseases. Through its CCR2 receptor affinity [70–72], it activates downstream signaling pathways, such as p42/44 MAPK, phospholipase C-γ, and protein kinase C. Elevated levels of CCL2 protein and mRNA expression are implicated in cancer, showing a high tumor grade and poor prognosis [73]. Moreover, CCL2 inhibition in mammary tumor-bearing mice decreased tumor growth, metastasis, macrophage recruitment, and angiogenesis, suggesting that this cytokine regulates tumor progression via a macrophage dependent mechanism [29,31,74–77]. Meanwhile, Fang et al. (2012) demonstrated that CCL2 treatment decreased apoptosis caused by serum deprivation, gentamicin or 5-FU treatment in mouse and human mammary carcinoma cells (MDA-MB-231), suggesting that CCL2 may induce pro-survival effects in human breast cancer cells [78]. Also, they show that CCL2 effect on cell survival is linked to an increase of phosphorylation of Smad3 and p42/44 MAPK proteins [78].
The findings of our work demonstrated butein ability to induce apoptosis and inhibit TNF-α-induced CCL2 release. Further research is still needed to confirm the association between cell survival regulation and CCL2 inhibition in MDA-MB-231 cells. Our data corroborate with previous literature studies showing the significant role of CCL2 signaling in breast cancer cells [79,80] and indicates that targeting CCL2 signaling pathway may affect various mechanisms involved in cancer progression, hence representing an attractive therapeutic target [78]. The present study also determined that butein inhibitory effect on CCL2 expression was only effective in MDA-MB-231 cells, suggesting that the apoptotic effect in MDA-MB-468 cells is not associated with CCL2 regulation.
Our investigation showed that butein inhibitory effect on CCL2 expression in Caucasian cells might be attributed to its ability to downregulate IKBKE mRNA and protein expression (Fig 6A, 6B, 6C and 6D). IKBKE is a gene overexpressed in approximately 30% of human breast tumors [81] and represents an emerging link between cancer and inflammation [82]. It promotes cytokine release and pro-survival signaling through the activation of NFқB and JAK–STAT signaling pathways [83]. Using JAK inhibitors that also target IKBKE, Barbie et al. [83], verified that there was a decrease in the viability of TNBC cells with IKBKE increased levels. This gene also regulates survival signaling associated with NFқB pathway activation, enabling cell transformation [82,84]. Also, Bauer et al. [85] studied the association between the IKBKE gene and CCL2 release, showing that IKBKE downregulation attenuates CCL2 expression in MDA-MB-231 TNBC cells. Likewise, the data from our previous study [86] demonstrated that the natural compound plumbagin inhibited IKBKE gene expression and consequent release of CCL2 in TNF-α-induced MDA-MB-231 cells, strengthening the potential association between IKBKE and CCL2 expression.
In summary, the present investigation demonstrates butein potential in cancer suppression of the two different TNBC cell lines: MDA-MB-231 and MDA-MB-468. Butein showed higher cytotoxicity, anti-proliferative, and apoptotic effects in MDA-MB-468, compared to MDA-MB-231. Additionally, butein downregulated both protein and mRNA expression of TNF-α-stimulated CCL2 release in Caucasian cells but not in African Americans. Moreover, the results elucidated one, out of many molecular mechanisms that may be involved in CCL2 downregulation, showing butein inhibitory effect on IKBKE mRNA and protein expression in MDA-MB-231 cells (Fig 7). Therefore, the obtained findings indicate that butein might be a potential candidate for breast cancer therapy targeting CCL2 in Caucasians and may also provide an explanation regarding the poor response to therapy in African American patients with advance TNBC.
Zdroje
1. Kim JH, Jung CH, Jang BH, Go HY, Park JH, Choi YK, et al. (2009) Selective cytotoxic effects on human cancer cell lines of phenolic-rich ethyl-acetate fraction from Rhus verniciflua Stokes. Am J Chin Med 37: 609–620. doi: 10.1142/S0192415X09007090 19606519
2. Siegel RL, Miller KD, Jemal A (2018) Cancer statistics 2018 CA Cancer J Clin 68(1): pp. 7–30.
3. Kao J, Salari K, Bocanegra M, Choi YL, Girard L, Gandhi J, et al. (2009) Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery. PLoS One 4: e6146. doi: 10.1371/journal.pone.0006146 19582160
4. Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y, et al. (2011) Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest 121: 2750–2767. doi: 10.1172/JCI45014 21633166
5. Rakha EA, El-Sayed ME, Green AR, Lee AH, Robertson JF, Ellis IO. (2007) Prognostic markers in triple-negative breast cancer. Cancer 109: 25–32. doi: 10.1002/cncr.22381 17146782
6. Bauer KR, Brown M, Cress RD, Parise CA, Caggiano V (2007) Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype: a population-based study from the California cancer Registry. Cancer 109: 1721–1728. doi: 10.1002/cncr.22618 17387718
7. Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, et al. (2006) Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. Jama 295: 2492–2502. doi: 10.1001/jama.295.21.2492 16757721
8. Dietze EC, Sistrunk C, Miranda-Carboni G, O’Regan R, Seewaldt VL (2015) Triple-negative breast cancer in African-American women: disparities versus biology. Nat Rev Cancer 15: 248–254. doi: 10.1038/nrc3896 25673085
9. DeSantis C, Siegel R, Jemal, A (2016) Breast Cancer Facts & Figures 2015–2016.
10. Mitra S (2017) MicroRNA Therapeutics in Triple Negative Breast Cancer. Arch Pathol Clin Res 1: 009–017.
11. Lakshmi P, Bhanu PK, Venkata SK, Josthna P (2015) Herbal and Medicinal Plants Molecules Towards Treatment of Cancer: A Mini Review. American Journal of Ethnomedicine Vol. 2, No. 2
12. Balunas MJ, Kinghorn AD (2005) Drug discovery from medicinal plants. Life Sci 78: 431–441. doi: 10.1016/j.lfs.2005.09.012 16198377
13. Cragg GM, Newman DJ (2005) Plants as a source of anti-cancer agents. J Ethnopharmacol 100: 72–79. doi: 10.1016/j.jep.2005.05.011 16009521
14. Desai AG, Qazi GN, Ganju RK, El-Tamer M, Singh J, Saxena AK, et al. (2008) Medicinal plants and cancer chemoprevention. Curr Drug Metab 9: 581–591. 18781909
15. Burns J, Yokota T, Ashihara H, Lean ME, Crozier A (2002) Plant foods and herbal sources of resveratrol. J Agric Food Chem 50: 3337–3340. doi: 10.1021/jf0112973 12010007
16. Mans DR, da Rocha AB, Schwartsmann G (2000) Anti-cancer drug discovery and development in Brazil: targeted plant collection as a rational strategy to acquire candidate anti-cancer compounds. Oncologist 5: 185–198. doi: 10.1634/theoncologist.5-3-185 10884497
17. Lee JC, Lee KY, Kim J, Na CS, Jung NC, Chung GH, et al. (2004) Extract from Rhus verniciflua Stokes is capable of inhibiting the growth of human lymphoma cells. Food Chem Toxicol 42: 1383–1388. doi: 10.1016/j.fct.2004.03.012 15234068
18. Semwal RB, Semwal DK, Combrinck S, Viljoen A (2015) Butein: From ancient traditional remedy to modern nutraceutical. Phytochemistry Letters 11: 188–201.
19. Jung CH, Jun CY, Lee S, Park CH, Cho K, Ko SG. (2006) Rhus verniciflua stokes extract: radical scavenging activities and protective effects on H2O2-induced cytotoxicity in macrophage RAW 264.7 cell lines. Biol Pharm Bull 29: 1603–1607. doi: 10.1248/bpb.29.1603 16880612
20. Jung CH, Kim JH, Hong MH, Seog HM, Oh SH, Lee PJ, et al. (2007) Phenolic-rich fraction from Rhus verniciflua Stokes (RVS) suppress inflammatory response via NF-kappaB and JNK pathway in lipopolysaccharide-induced RAW 264.7 macrophages. J Ethnopharmacol 110: 490–497. doi: 10.1016/j.jep.2006.10.013 17112694
21. Wang Y, Chan FL, Chen S, Leung LK (2005) The plant polyphenol butein inhibits testosterone-induced proliferation in breast cancer cells expressing aromatase. Life Sci 77: 39–51. doi: 10.1016/j.lfs.2004.12.014 15848217
22. Chua AW, Hay HS, Rajendran P, Shanmugam MK, Li F, Bist P, et al. (2010) Butein downregulates chemokine receptor CXCR4 expression and function through suppression of NF-kappaB activation in breast and pancreatic tumor cells. Biochem Pharmacol 80: 1553–1562. doi: 10.1016/j.bcp.2010.07.045 20699088
23. Yang LH, Ho YJ, Lin JF, Yeh CW, Kao SH, Hsu LS (2012) Butein inhibits the proliferation of breast cancer cells through generation of reactive oxygen species and modulation of ERK and p38 activities. Mol Med Rep 6: 1126–1132. doi: 10.3892/mmr.2012.1023 22895548
24. Orlikova B, Tasdemir D, Golais F, Dicato M, Diederich M (2011) Dietary chalcones with chemopreventive and chemotherapeutic potential. Genes Nutr 6: 125–147. doi: 10.1007/s12263-011-0210-5 21484163
25. Kuper H, Adami HO, Trichopoulos D (2000) Infections as a major preventable cause of human cancer. J Intern Med 248: 171–183. doi: 10.1046/j.1365-2796.2000.00742.x 10971784
26. Trimboli AJ, Cantemir-Stone CZ, Li F, Wallace JA, Merchant A, Creasap N, et al. (2009) Pten in stromal fibroblasts suppresses mammary epithelial tumours. Nature 461: 1084–1091. doi: 10.1038/nature08486 19847259
27. Al-Rakan MA, Colak D, Hendrayani SF, Al-Bakheet A, Al-Mohanna FH, Kaya N, et al. (2013) Breast stromal fibroblasts from histologically normal surgical margins are pro-carcinogenic. J Pathol 231: 457–465. doi: 10.1002/path.4256 24009142
28. Yashiro M, Ikeda K, Tendo M, Ishikawa T, Hirakawa K (2005) Effect of organ-specific fibroblasts on proliferation and differentiation of breast cancer cells. Breast Cancer Res Treat 90: 307–313. doi: 10.1007/s10549-004-5364-z 15830145
29. Hembruff SL, Jokar I, Yang L, Cheng N (2010) Loss of transforming growth factor-beta signaling in mammary fibroblasts enhances CCL2 secretion to promote mammary tumor progression through macrophage-dependent and -independent mechanisms. Neoplasia 12: 425–433. doi: 10.1593/neo.10200 20454514
30. Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A (2009) Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis 30: 1073–1081. doi: 10.1093/carcin/bgp127 19468060
31. Qian BZ, Li J, Zhang H, Kitamura T, Zhang J, Campion LR, et al. (2011) CCL2 recruits inflammatory monocytes to facilitate breast-tumour metastasis. Nature 475: 222–225. doi: 10.1038/nature10138 21654748
32. Sica A, Porta C, Morlacchi S, Banfi S, Strauss L, Rimoldi M, et al. (2012) Origin and Functions of Tumor-Associated Myeloid Cells (TAMCs). Cancer Microenviron 5: 133–149. doi: 10.1007/s12307-011-0091-6 21948460
33. Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140: 883–899. doi: 10.1016/j.cell.2010.01.025 20303878
34. Balkwill F (2006) TNF-alpha in promotion and progression of cancer. Cancer Metastasis Rev 25.
35. Bertazza L, Mocellin S (2010) The dual role of tumor necrosis factor (TNF) in cancer biology. Curr Med Chem 17: 3337–3352. doi: 10.2174/092986710793176339 20712570
36. Ben-Baruch A (2006) The multifaceted roles of chemokines in malignancy. Cancer Metastasis Rev 25.
37. Apte RN, Krelin Y, Song X, Dotan S, Recih E, Elkabets M, et al. (2006) Effects of micro-environment- and malignant cell-derived interleukin-1 in carcinogenesis, tumour invasiveness and tumour-host interactions. Eur J Cancer 42.
38. Dinarello CA (2010) Why not treat human cancer with interleukin-1 blockade? Cancer Metastasis Rev 29: 317–329. doi: 10.1007/s10555-010-9229-0 20422276
39. Lewis AM, Varghese S, Xu H, Alexander HR (2006) Interleukin-1 and cancer progression: the emerging role of interleukin-1 receptor antagonist as a novel therapeutic agent in cancer treatment. J Transl Med 4.
40. Apte RN, Dotan S, Elkabets M, White MR, Reich E, Carmi Y, et al. (2006) The involvement of IL-1 in tumorigenesis, tumor invasiveness, metastasis and tumor-host interactions. Cancer Metastasis Rev 25: 387–408. doi: 10.1007/s10555-006-9004-4 17043764
41. Schmid MC, Avraamides CJ, Foubert P, Shaked Y, Kang SW, Kerbel RS, et al. (2011) Combined blockade of integrin-alpha4beta1 plus cytokines SDF-1alpha or IL-1beta potently inhibits tumor inflammation and growth. Cancer Res 71: 6965–6975. doi: 10.1158/0008-5472.CAN-11-0588 21948958
42. Zhou W, Guo S, Gonzalez-Perez RR (2003) Leptin pro-angiogenic signature in breast cancer is linked to IL-1 signalling. British journal of cancer 177: 128–137.
43. Palmieri C, Roberts-Clark D, Assadi-Sabet A, Coope RC, O’Hare M, Sunters A, et al. (2003) Fibroblast growth factor 7, secreted by breast fibroblasts, is an interleukin-1beta-induced paracrine growth factor for human breast cells. J Endocrinol 177.
44. Naldini A, Filippi I, Miglietta D, Moschetta M, Giavazzi R, Carraro F (2010) Interleukin-1beta regulates the migratory potential of MDAMB231 breast cancer cells through the hypoxia-inducible factor-1alpha. Eur J Cancer 46: 3400–3408. doi: 10.1016/j.ejca.2010.07.044 20801015
45. Argiles JM, Busquets S, Lopez-Soriano FJ (2011) Anti-inflammatory therapies in cancer cachexia. Eur J Pharmacol 668 Suppl 1: S81–86.
46. Balkwill FR, Mantovani A (2012) Cancer-related inflammation: common themes and therapeutic opportunities. Semin Cancer Biol 22: 33–40. doi: 10.1016/j.semcancer.2011.12.005 22210179
47. Balkwill F, Mantovani A (2010) Cancer and inflammation: implications for pharmacology and therapeutics. Clin Pharmacol Ther 87: 401–406. doi: 10.1038/clpt.2009.312 20200512
48. Liu D, Wang X, Chen Z (2016) Tumor Necrosis Factor-alpha, a Regulator and Therapeutic Agent on Breast Cancer. Curr Pharm Biotechnol 17: 486–494. doi: 10.2174/1389201017666160301102713 26927216
49. Katanov C, Lerrer S, Liubomirski Y, Leider-Trejo L, Meshel T, Bar J, et al. (2015) Regulation of the inflammatory profile of stromal cells in human breast cancer: prominent roles for TNF-alpha and the NF-kappaB pathway. Stem Cell Res Ther 6: 87. doi: 10.1186/s13287-015-0080-7 25928089
50. Trivanovic D, Jaukovic A, Krstic J, Nikolic S, Okic Djordjevic I, Kukolj T, et al. (2016) Inflammatory cytokines prime adipose tissue mesenchymal stem cells to enhance malignancy of MCF-7 breast cancer cells via transforming growth factor-beta1. IUBMB Life 68: 190–200. doi: 10.1002/iub.1473 26805406
51. Soria G, Ofri-Shahak M, Haas I, Yaal-Hahoshen N, Leider-Trejo L, Leibovich-Rivkin T, et al. (2011) Inflammatory mediators in breast cancer: Coordinated expression of TNFα & IL-1β with CCL2 & CCL5 and effects on epithelial-to-mesenchymal transition. BMC Cancer 11: 130. doi: 10.1186/1471-2407-11-130 21486440
52. Steiner JL, Murphy EA (2012) Importance of chemokine (CC-motif) ligand 2 in breast cancer. Int J Biol Markers 27: e179–185. doi: 10.5301/JBM.2012.9345 22865298
53. Vrakas CN, O’Sullivan RM, Evans SE, Ingram DA, Jones CB, Phuong T, et al. (2015) The Measure of DAMPs and a role for S100A8 in recruiting suppressor cells in breast cancer lung metastasis. Immunol Invest 44: 174–188. doi: 10.3109/08820139.2014.952818 25255046
54. Tabariès S, Ouellet V, Hsu BE, Annis MG, Rose AAN, Meunier L, et al. (2015) Granulocytic immune infiltrates are essential for the efficient formation of breast cancer liver metastases. Breast cancer research: BCR 17: 45–45. doi: 10.1186/s13058-015-0558-3 25882816
55. Ibrahim T, Mercatali L, Amadori D (2013) A new emergency in oncology: bone metastases in breast cancer patients (review). Oncol Lett 6.
56. Kindlund B, Sjoling A, Yakkala C, Adamsson J, Janzon A, Hansson LE, et al. (2017) CD4(+) regulatory T cells in gastric cancer mucosa are proliferating and express high levels of IL-10 but little TGF-beta. 20: 116–125.
57. Mishra P, Banerjee D, Ben-Baruch A (2011) Chemokines at the crossroads of tumor-fibroblast interactions that promote malignancy. J Leukoc Biol 89: 31–39. doi: 10.1189/jlb.0310182 20628066
58. Papi A, Storci G, Guarnieri T, De Carolis S, Bertoni S, Avenia N, et al. (2013) Peroxisome proliferator activated receptor-alpha/hypoxia inducible factor-1alpha interplay sustains carbonic anhydrase IX and apoliprotein E expression in breast cancer stem cells. PLoS One 8: e54968. doi: 10.1371/journal.pone.0054968 23372804
59. Ueno T, Toi M, Saji H, Muta M, Bando H, Kuroi K, et al. (2000) Significance of macrophage chemoattractant protein-1 in macrophage recruitment, angiogenesis, and survival in human breast cancer. Clin Cancer Res 6: 3282–3289. 10955814
60. Chun E, Lavoie S, Michaud M, Gallini CA, Kim J, Soucy G, et al. (2015) CCL2 Promotes Colorectal Carcinogenesis by Enhancing Polymorphonuclear Myeloid-Derived Suppressor Cell Population and Function. Cell Rep 12: 244–257. doi: 10.1016/j.celrep.2015.06.024 26146082
61. McClellan JL, Davis JM, Steiner JL, Enos RT, Jung SH, Carson JA, et al. (2012) Linking tumor-associated macrophages, inflammation, and intestinal tumorigenesis: role of MCP-1. Am J Physiol Gastrointest Liver Physiol 303: G1087–1095. doi: 10.1152/ajpgi.00252.2012 23019193
62. Cho SG, Woo SM, Ko SG (2014) Butein suppresses breast cancer growth by reducing a production of intracellular reactive oxygen species. J Exp Clin Cancer Res 33: 51. doi: 10.1186/1756-9966-33-51 24919544
63. Barkett M, Gilmore TD (1999) Control of apoptosis by Rel/NF-kappaB transcription factors. Oncogene 18: 6910–6924. doi: 10.1038/sj.onc.1203238 10602466
64. Karin M, Lin A (2002) NF-kappaB at the crossroads of life and death. Nat Immunol 3: 221–227. doi: 10.1038/ni0302-221 11875461
65. Biswas DK, Martin KJ, McAlister C, Cruz AP, Graner E, Dai SC, et al. (2003) Apoptosis caused by chemotherapeutic inhibition of nuclear factor-kappaB activation. Cancer Res 63: 290–295. 12543776
66. Nakshatri H, Goulet RJ Jr. (2002) NF-kappaB and breast cancer. Curr Probl Cancer 26: 282–309. 12429950
67. Hanahan D, Weinberg RA (2000) The hallmarks of cancer. Cell 100: 57–70. doi: 10.1016/s0092-8674(00)81683-9 10647931
68. Dvorak HF (1986) Tumors: wounds that do not heal. Similarities between tumor stroma generation and wound healing. N Engl J Med 315: 1650–1659. doi: 10.1056/NEJM198612253152606 3537791
69. Hussain SP, Hofseth LJ, Harris CC (2003) Radical causes of cancer. Nat Rev Cancer 3: 276–285. doi: 10.1038/nrc1046 12671666
70. Ernst CA, Zhang YJ, Hancock PR, Rutledge BJ, Corless CL, Rollins BJ (1994) Biochemical and biologic characterization of murine monocyte chemoattractant protein-1. Identification of two functional domains. J Immunol 152: 3541–3549. 8144933
71. Huang DR, Wang J, Kivisakk P, Rollins BJ, Ransohoff RM (2001) Absence of monocyte chemoattractant protein 1 in mice leads to decreased local macrophage recruitment and antigen-specific T helper cell type 1 immune response in experimental autoimmune encephalomyelitis. J Exp Med 193: 713–726. doi: 10.1084/jem.193.6.713 11257138
72. Fife BT, Huffnagle GB, Kuziel WA, Karpus WJ (2000) CC chemokine receptor 2 is critical for induction of experimental autoimmune encephalomyelitis. J Exp Med 192: 899–905. doi: 10.1084/jem.192.6.899 10993920
73. Chavey C, Bibeau F, Gourgou-Bourgade S, Burlinchon S, Boissiere F, Laune D, et al. (2007) Oestrogen receptor negative breast cancers exhibit high cytokine content. Breast Cancer Res 9: R15. doi: 10.1186/bcr1648 17261184
74. Fujimoto H, Sangai T, Ishii G, Ikehara A, Nagashima T, Miyazaki M, et al. (2009) Stromal MCP-1 in mammary tumors induces tumor-associated macrophage infiltration and contributes to tumor progression. Int J Cancer 125: 1276–1284. doi: 10.1002/ijc.24378 19479998
75. Lu X, Kang Y (2009) Chemokine (C-C motif) ligand 2 engages CCR2+ stromal cells of monocytic origin to promote breast cancer metastasis to lung and bone. J Biol Chem 284: 29087–29096. doi: 10.1074/jbc.M109.035899 19720836
76. Yamashiro S, Takeya M, Nishi T, Kuratsu J, Yoshimura T, Yshio Y, et al. (1994) Tumor-derived monocyte chemoattractant protein-1 induces intratumoral infiltration of monocyte-derived macrophage subpopulation in transplanted rat tumors. Am J Pathol 145: 856–867. 7943176
77. Hoshino Y, Hatake K, Kasahara T, Takahashi Y, Ikeda M, Tomizuka H, et al. (1995) Monocyte chemoattractant protein-1 stimulates tumor necrosis and recruitment of macrophages into tumors in tumor-bearing nude mice: increased granulocyte and macrophage progenitors in murine bone marrow. Exp Hematol 23: 1035–1039. 7635182
78. Fang WB, Jokar I, Zou A, Lambert D, Dendukuri P, Cheng N (2012) CCL2/CCR2 chemokine signaling coordinates survival and motility of breast cancer cells through Smad3 protein- and p42/44 mitogen-activated protein kinase (MAPK)-dependent mechanisms. J Biol Chem 287: 36593–36608. doi: 10.1074/jbc.M112.365999 22927430
79. Joyce JA, Pollard JW (2009) Microenvironmental regulation of metastasis. Nat Rev Cancer 9: 239–252. doi: 10.1038/nrc2618 19279573
80. Kopfstein L, Christofori G (2006) Metastasis: cell-autonomous mechanisms versus contributions by the tumor microenvironment. Cell Mol Life Sci 63: 449–468. doi: 10.1007/s00018-005-5296-8 16416030
81. Boehm JS, Zhao JJ, Yao J, Kim SY, Firestein R, Dunn IF, et al. (2007) Integrative genomic approaches identify IKBKE as a breast cancer oncogene. Cell 129: 1065–1079. doi: 10.1016/j.cell.2007.03.052 17574021
82. Shen RR, Zhou AY, Kim E, Lim E, Habelhah H, Hahn WC. (2012) IkappaB kinase epsilon phosphorylates TRAF2 to promote mammary epithelial cell transformation. Mol Cell Biol 32: 4756–4768. doi: 10.1128/MCB.00468-12 23007157
83. Barbie TU, Alexe G, Aref AR, Li S, Zhu Z, Zhang X, et al. (2014) Targeting an IKBKE cytokine network impairs triple-negative breast cancer growth. J Clin Invest 124: 5411–5423. doi: 10.1172/JCI75661 25365225
84. Hutti JE, Shen RR, Abbott DW, Zhou AY, Sprott KM, Asara JM, et al. (2009) Phosphorylation of the tumor suppressor CYLD by the breast cancer oncogene IKKepsilon promotes cell transformation. Mol Cell 34: 461–472. doi: 10.1016/j.molcel.2009.04.031 19481526
85. Bauer D, Redmon N, Mazzio E, Soliman KF (2017) Apigenin inhibits TNFalpha/IL-1alpha-induced CCL2 release through IKBK-epsilon signaling in MDA-MB-231 human breast cancer cells. PLoS One 12: e0175558. doi: 10.1371/journal.pone.0175558 28441391
86. Messeha SS, Zarmouh NO, Mendonca P, Alwagdani H, Kolta MG, Soliman KFA (2018) The inhibitory effects of plumbagin on the NF-B pathway and CCL2 release in racially different triple-negative breast cancer cells. 13: e0201116.
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