Resveratrol induces p53 in colorectal cancer through SET7/9
- Authors:
- Published online on: February 13, 2019 https://doi.org/10.3892/ol.2019.10034
- Pages: 3783-3789
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Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Resveratrol (trans-3,4,5-trihydroxystilbene) is a non-flavonoid polyphenolic compound produced naturally in grapes and nuts (1) that is also present in Polygonum cuspidatum root (2). Resveratrol is present in the skin of grapes, and is been used by plants for protection against fungi and other infections (3). However, resveratrol has a number of other properties, including anti-atherogenic, anti-inflammatory and anti-cancer effects (4). Furthermore, previous research has demonstrated that using resveratrol as a chemo-preventive agent results in the inhibition of the cell cycle in tumour cells (5).
Resveratrol has an anti-tumour potential in colorectal cancer (6,7). In 2017 colorectal malignancy was the third most common cancer type in men and women in the United States that comprises ~9% of all cancer types (8). Colorectal cancer development may be divided into two main phases, the initiation phase and the progression phase. The initiation phase includes the inactivation of the tumour suppressor gene adenomatous polyposis coli, which controls various cellular processes, including cell division and proliferation (6,9). In addition, β-catenin is translocated from the cytoplasm to the nucleus through the Wnt signalling pathway, in which β-catenin functions as an oncogene. The progression phase is mostly characterised by the genomic instability of several proteins including K-Ras, SMAD family member 4 and tumour protein p53 (p53) that results in colorectal carcinoma progression (10).
p53 is a tumour suppressor that orchestrates the cellular responses to genotoxic stresses (11–13). Activation of p53 induces the transcription of its target genes that are involved in cell cycle arrest, apoptosis and DNA repair (14). p53 facilitates apoptosis through transactivating a number of p53-target genes including Bcl2 associated X, apoptosis regulator (BAX) and Bcl2 binding component 3 (PUMA) (15). p53 is mainly regulated through various post-translational modifications (PTMs), including acetylation, methylation, neddylation, phosphorylation and ubiquitination (13,16). Previous studies have demonstrated the involvement of resveratrol in the cellular function of p53 (17–20). Furthermore, the pro-apoptotic activity of resveratrol in prostate cancer appeared to be mediated by the serine-15 phosphorylation of p53 by mitogen-activated protein kinases (21). However, the effect of resveratrol on other PTMs of p53 has not been investigated in colorectal cancer. SET domain containing lysine methyltransferase 7/9 (SET7/9) is one of the proteins that regulate p53 through PTMs, which mono-methylates p53 at lysine 372 (K372) that results in its stabilization and activation (11,16).
In the present study, the investigated the mechanisms underlying the impact of resveratrol in p53 activation. To address this question, we examined SET7/9 as a mediator of Resveratrol-dependent p53 activation. The results of the present study provide the mechanistic explanation for the regulatory function of resveratrol in the p53 pathway.
Materials and methods
Plasmid constructs
Scrambled (cat no. shc016: CCGGGCGCGATAGCGCTAATAATTTCTCGAGAAATTATTAGCGCTATCGCGCTTTTT) and SET7/9 (cat no. SHCLND-NM_030648: CCGGGCCAGGGTATTATTATAGAATCTCGAGATTCTATAATAATACCCTGGCTTTTTG) short hairpin RNA (shRNA) were obtained from Sigma-Aldrich (Merck KGaA, Darmstadt, Germany). β-galactosidase (cat no. RC200721; Origene Technologies, Inc., Rockville, MD, USA), pGL3-basic vector constructs were obtained from Promega Corporation (cat no. E1751; Madison, WI, USA) and BAX or PUMA promoter regions were synthesized by GenScript (Piscataway, NJ, USA).
Cell culture and plasmids
All cell lines used in the present study (HCT-116, CO-115 and SW48) purchased from the American Type Culture collection (Manassas, VA, USA) were cultured in Dulbecco's modified Eagle's medium supplemented with 10% foetal bovine serum (Thermo Fisher Scientific, Inc., Waltham, MA, USA) at 37°C with 5% CO2. The 293 cells were seeded into 24-well culture plates (3.5×10−4 cells/ml) and changed the medium without FBS following an overnight incubation at 37°C with 5% CO2. Transfections were performed using Lipofectamine 2000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocols. Approximately 18–24 h prior to transfection, plate cells in 1 ml complete growth medium per well in a 12-well plate. Cells were 70–90% confluent at the time of transfection. Cells were plated at a density of 1×105 cells/well and incubated at 37°C overnight. The medium was replaced with 1 ml of fresh complete growth medium and 100 µl of serum-free medium was placed in a sterile tube. A total of 1 µg plasmid DNA was added to the medium in the tube and mixed completely by gently pipetting up and down. A total of 2 µl transfection reagent was added to the diluted DNA mixture and mixed. The samples was incubated at room temperature for 20 min to allow sufficient time for complexes to form. The supernatant of medium was collected to infect the cancer cells. The viral titer was determined by Virus drops degree detection; fluorescence/absolute quantitative method (17). The cancer cells were infected by the collected supernatant for 48 h and collected for Western blot analysis. shRNA transfection was performed directly, without using Lentivirus. Resveratrol or dimethyl sulfoxide (DMSO) were obtained from Sigma-Aldrich (Merck KGaA).
Cell viability
A total of 10,000 (HCT-116, CO-115 and SW480) cells were cultured in 96-well plates. After 24 h, the cells were treated with various doses (0, 12.5, 25, 37.5, 50 µM) of resveratrol (cat no. 34092-100 MG; Sigma-Aldrich, Merck KGaA, Darmstadt, Germany) and incubated for 24 h at 37°C. Cell viability was measured using a CellTiter-Glo Luminescent cell viability assay (cat no. G7572; Promega Corporation) with the Glomax Explorer Microplate Reader (Promega Corporation) according to the manufacturer's protocols.
Western blotting
The protein was extracted from the HCT-116, CO-115 and SW480 cells with 10% MSDS (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) and the protein quantity was determined using a bicinchoninic acid assay. The mass of the proteins loaded in per lane was 60 µg. The proteins were separated using 10% SDS-PAGE, and then transferred onto polyvinylidene fluoride membranes. The membranes were blocked in 5% bovine serum albumin (cat. no. 10099141; Gibco; Thermo Fisher Scientific, Inc.) at 37°C for 1 h, and washed with TBST buffer three times. The membranes were exposed to primary antibodies (1:1,000 dilution): p53 (Merck KGaA), methylated-p53 (K372; cat no. ab16033; Abcam, Cambridge, UK), SET7/9 (cat no. 2813) and poly (ADP-ribose) polymerase (PARP; cat no. 9542S; Cell Signalling Technology, Inc., Danvers, MA, USA) and β-actin (cat no. ab8227; Abcam). overnight at 4°C. The membranes were washed with TBST three times, and incubated with secondary antibody (anti-rabbit Immunoglobulin G; 1:2,000; cat. no. 7074; CST) for 2 h at room temperature, and washed with TBST three times. The bands were visualized with the WEST ZOL Plus system (iNtRON Biotechnology, Boston, MA, USA) and quantified using ImageJ software (version 1.44P; National Institutes of Health, Bethesda, MA, USA).
Luciferase assay
The luciferase assay was performed as previously described (12). Briefly, 100,000 HCT-116 or CO-115 cells per well were cultured in 24-well plates. After 24 h, the cells were transfected with luciferase genes (pGL3-PUMA or pGL3-BAX or pGL3 vectors) and β-galactosidase constructs using Lipofectamine 2000 at 37°C with 5% CO2. The following day, the RPMI-1640 medium supplemented with 10% FBS media was replaced by fresh RPMI-1640 (with 10% FBS) growth media and 6 samples were treated with different resveratrol doses (0, 12.5, 25, 37.5, 50 µM) at 37°C. A total of 24 h later, the lysates were collected in lysis buffer (within the kit) and stored at −80°C for 3 h; and the luciferase signals were assessed using a luminometer using a Luciferase kit (cat no. K801-200; BioVision, Inc., Milpitas, CA, USA) according to the manufacturer's protocol.
Bioinformatics analysis
The publicly available bioinformatics data set (GSE17537: 244653_at) was downloaded and analysed. The bioinformatics analyses were obtained from PrognoScan (22,23) (http://www.abren.net/PrognoScan). 55 patients with colorectal cancer (CRC), included 30 male and 25 female, with a median age of 62 years old (mean ± SD 62.23±3.43, range 43–76). Tumor stage was determined according to the tumor-node-metastasis (TNM) classification system of the International Union against Cancer (2002). The tumors' differentiation have been graded by the Edmondson-Steiner classification system. The clinical pathological features of the patients are summarized in Table I.
Statistical analyses
Data were compiled in Microsoft Excel 2011 14.7.2 (Microsoft Corporation, Redmond, WA, USA) and the evaluation of variance between data groups was performed using a one-way analysis of variance. If significance was detected further comparisons were performed with a Tukey's post-hoc test. All data are presented as means ± standard deviation (SD) or median with 95% confidence interval (95% CI). P<0.05 was considered to indicate a statistically significant difference. Kaplan-Meier survival curves with log-rank tests were used in the bioinformatics data analysis.
Results
Resveratrol induces SET7/9 expression in colorectal cancer cells
The expression of SET7/9 is associated with tumorigenesis in different cancer types, including gastric (24), breast (25) and colorectal cancer. To understand the association between SET7/9 expression and the survival rate of patients with colorectal cancer, the publicly available bioinformatics data set (GSE17537: 244653_at) was analysed, and the results suggested a significant positive association between a low overall survival rate and the downregulation of SET7/9 (P=0.011; Fig. 1A). Resveratrol has been suggested as an anti-cancer agent in colorectal cancer (7), which induces the expression of p53 (18). Therefore, it was hypothesized that resveratrol may regulate p53 through the induction of SET7/9 expression in colorectal cancer cells. To address this, initially the concentration (0, 12.5, 25, 37.5, 50 µM) of resveratrol that promoted cell death in HCT116, CO115 and SW48 cell lines was determined (Fig. 1B). Then, the expression of SET7/9 in response to resveratrol treatment was assessed. As presented in Fig. 1C-E, the cells treated with resveratrol demonstrated higher protein expression of SET7/9 compared with those that were treated with DMSO. Collectively, these data indicate that resveratrol is a positive regulator of SET7/9.
SET7/9 mediates resveratrol-dependent p53 overexpression
Mono-methylation of p53 at K372 by SET7/9 has a key role in p53 stability and activity (16). Therefore, the present study determined the protein expression of methylated p53 K372 (p53K372-Me) in the presence of resveratrol or DMSO (Fig. 2A-C). The results revealed a higher protein expression of p53K372-Me in the presence of resveratrol compared with the DMSO-treated controls. Importantly, the function of resveratrol towards p53 was attenuated in the presence of shRNA against SET7/9 (Fig. 2D-F). To further confirm the present results, the expression of p53 target genes (PUMA and BAX) were examined using a Luciferase assay (Fig. 3A-D). Treating cells with resveratrol significantly induced PUMA and BAX expression in all cell lines compared with the untreated control cells (P<0.05), whereas the effect of resveratrol was significantly abolished in the absence of SET7/9 (P<0.05; Fig. 3A-D). Altogether, these results suggest that SET7/9 functions as a key mediator of resveratrol-dependent p53 activation in colorectal cancer cells.
Resveratrol promotes apoptosis through the induction of SET7/9 expression
To identify the physiological role of resveratrol in colorectal cancer cells, the expression of cleaved PARP, an apoptosis biomarker (26,27), was examined in various colorectal cancer cell lines (HCT116, CO115 and SW48 As mentioned in Fig. 1B, a viability test was performed to identify the maximal inhibitory concentration of resveratrol for HCT116, CO115, and SW480 cells, which were 25, 30, and 37.5 µM respectively. Therefore, each cell line was treated with a specific concentration of resveratrol followed by Western blotting. The results suggested the overexpression of p53 and cleaved PARP in the presence of resveratrol (Fig. 4A-C). Additionally, the ablation of SET7/9 decreased the expression of cleaved PARP upon treatment with resveratrol compared with untransfected cells (Fig. 4D-F). Similar results were obtained when the expression of cleaved caspase-3 was examined (Fig. 4D-F). Altogether, these data confirm that SET7/9 is the mediator of resveratrol-dependent apoptosis in colorectal cancer.
Discussion
SET7/9, a SET domain-containing lysine methyltransferase, has been proposed to transfer a methyl group to the target lysine residue of non-histone proteins including p53 (methylated at K372) and histone H3 Lysine 4 (H3-K4) (6). Thus, SET7/9 is involved in various cellular pathways in cancer cells, including cell proliferation, cell death, migration and invasion (24). In the present study, SET7/9 was identified as a mediator of the resveratrol-driven overexpression of p53, while the specific molecular mechanisms underlying the interaction between resveratrol and SET7/9 remain unclear. Further experiments are required in order to determine whether resveratrol directly or indirectly promotes SET7/9 expression.
p53 mono-methylation by SET7/9 is crucial for its stabilization and promoter occupancy (28). The results revealed and upregulation of SET7/9 in colorectal cancer (HCT116, CO115, and SW480) cells upon resveratrol treatment. In agreement with previous studies (16,29–31), increasing SET7/9 led to the induction of the expression of methylated p53 at K372, in addition to the induction of total p53 and p53-target genes. The present study also revealed that resveratrol-induced p53 overexpression was reduced in cells expressing shRNA against SET7/9 compared with untransfected cells. However, resveratrol treatment may still induce the expression of p53 target genes (BAX and PUMA) in SET7/9-depleted cells implying that resveratrol regulates p53 activity by other mechanisms. Further studies are warranted to elucidate the exact molecular mechanisms by which resveratrol regulates p53 expression and activity.
Resveratrol has been reported to be one of the most promising anticancer agents isolated from natural products that induce apoptosis in certain cancer types in a p53-dependent manner (17–20,32). Similarly, the present results propose resveratrol as a positive regulator of apoptosis in colorectal cancer cells (Fig. 4). Furthermore, the data produced by the present study indicates that the pro-apoptotic function of resveratrol depends on SET7/9 in colorectal cancer.
From the present study, it was concluded that SET7/9 functions as a mediator of resveratrol-dependent p53 activation, and the results confirm that resveratrol modulates p53 through its mono-methylation at K372 (Fig. 5). In agreement with the present study, other studies have reported the induction of p53 phosphorylation at serine 15 by resveratrol (21), which is vital for the stabilization and activation of p53 (11,14,16). The results of the present study add another layer of complexity to the anti-cancer function of resveratrol and further studies are required to identify the effect of resveratrol-induced SET7/9 in p53 mutant cancer cells.
Acknowledgments
The authors would like to thank Dr Chao Gao (Albany Medical College, Albany, NY, USA) for assistance with the bioinformatics analysis
Funding
The present study was supported by the Lianyungang Health and Family Planning Commission (grant no. 201623).
Availability of data and materials
The publicly available bioinformatics data set (GSE17537: 244653_at) was downloaded on prognoscan website by this article (22,23) and made publicly available (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17537), which shows overall survival rate.
Authors' contributions
ZL, XW and JL performed experiments, analyzed data, and wrote the manuscript. HS performed the experiments and wrote the manuscript. FZ supervised the project, designed the experiments, and wrote the manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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