Downregulation of PRMT1, a histone arginine methyltransferase, by sodium propionate induces cell apoptosis in colon cancer
- Authors:
- Published online on: December 18, 2018 https://doi.org/10.3892/or.2018.6938
- Pages: 1691-1699
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Copyright: © Ryu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Colorectal cancer (CRC; colon and rectal cancer) is the most common cancer worldwide. To overcome the challenges of CRC treatment, recent studies of microbiota and metabolites derived from the microbiome in the colon, have investigated alternative methods for colon cancer prevention and treatment (1). Among these metabolites, short-chain fatty acids (SCFAs; butyrate, acetate and propionate) are produced from dietary fiber in the colon via bacterial fermentation to maintain host health (2). Moreover, in a disease context, SCFAs are related to colonic inflammation, insulin resistance and high-fat-diet-induced obesity (3). The signaling components activated by SCFAs have been divided into two main pathways: a histone deacetylase (HDAC) inhibitor pathway and a G-protein coupled receptor (GPCR) activation pathway (2). In colon cancer, treatment with SCFAs was revealed to induce hyperacetylation and suppress colon cancer proliferation and metastasis (4–7). Specifically, butyrate induced apoptosis in HCT116 cells by regulating p38 MAPK. Additionally, in an in vivo study, SCFA mixtures suppressed azoxymethane/dextran sodium sulfate (AOM/DSS)-induced tumors by inhibiting COX-2 expression (7–10). In addition, propionate treatment was revealed to reduce free fatty acid receptor 2 (FFAR2; also known as GPR43) expression in leukemic cell lines and to reduce leukemic cell proliferation (11). However, despite studies on the roles of SCFAs in the colon, their molecular mechanisms and target development require further investigation. Moreover, since SCFA studies have focused mainly on butyrate treatment, the relationship between propionate and colon cancer was examined in this study.
SCFA treatment in colon cancer has been revealed to induce hyper-acetylation by inhibiting HDAC activity, suggesting that SCFAs can act as an HDAC inhibitor. Although major studies of the anticancer effects of SCFAs (mainly butyrate) have focused on inhibiting HDAC activity, the molecular mechanism of propionate in colon cancer remains unclear. Epigenetic modifiers, such as histone methyltransferase, acetylase and DNA methyltransferase, have become important target genes for developing anticancer drugs for colon cancer (12,13). Among these genes, protein arginine methyltransferase 1 (PRMT1) is a histone arginine methyltransferase that mainly mono- and dimethylates histone H4 arginine 3, which is an activation site for gene expression (14,15). In colon cancer, PRMT1 was revealed to be involved in epidermal growth factor (EGF) receptor methylation during resistance to cetuximab treatment, and methylation of methyl-DNA binding domain 2 (MBD2) by PRMT1 inhibited binding to methyl-CG DNA in colon cancer (16,17). Moreover, PRMT1 overexpression was revealed to be clearly associated with poor prognosis in colon cancer cohorts. Although the relationship between colon cancer and PRMT1 has been studied, regulation of PRMT1 expression in colon cancer is unclear.
Therefore, in this study, the HCT116 cell line was treated with sodium propionate (SP) and cellular apoptosis was observed upon downregulation of PRMT1 expression. This is the first study, to the best of our knowledge, revealing that downregulation of PRMT1 expression by propionate, induced apoptosis by inhibiting p70 S6 kinase phosphorylation. Thus, PRMT1 inhibitors and propionate treatment are expected to reveal synergistic anticancer effects which may be used in the treatment of CRC patients.
Materials and methods
Cell culture and reagents
The human colon cancer cell lines HCT116 and SW480 were purchased from the Korean Cell Line Bank (Seoul, South Korea) and cultured in RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) and 1% penicillin/streptomycin in a humidified atmosphere with 5% CO2 at 37°C. Sodium propionate (product no. P5436) was purchased from Sigma-Aldrich; Merck KGaA (Darmstadt, Germany).
CRC patients in TCGA data
The mRNA expression (RNA-Seq) data of 572 colon-related samples (51 normal samples and 521 tumor samples) was obtained from TCGA data portal (http://cancergenome.nih.gov). The RNA-Seq quantification data (HTSeq-FPKM) was downloaded and the mean value for the expression levels of each gene across samples was calculated. These mean values represented the expression each gene in normal and tumor samples.
Cell viability assay
Cell Counting Kit-8 (CCK-8; Dojindo Laboratories, Rockville, MD, USA) was used to conduct cell viability assays. Cells were seeded in 6-well plates starting at 4×105 cells/well and incubated for 24 h. After sodium propionate treatment and siRNA transfection for 2 days, CCK-8 solution and RPMI-1640 medium with 10% FBS mixture were added into each well and incubated with 5% CO2 at 37°C for 5 min or 10 min. The absorbance was assessed using a microplate reader at 450 nm. For crystal violet staining, the cells were fixed with methanol for 5 min and stained with 0.1% crystal violet after sodium propionate treatment and siRNA infection for 48 h.
Human phospho-kinase array
Human phospho-kinase array was performed using Proteome Profiler Human Phospho-Kinase Array kit (cat. no. ARY003B) purchased from R&D Systems, Inc. (Minneapolis, MN, USA). HCT116 cells, treated with sodium propionate and PRMT1 siRNA, were lysed in lysis buffer. Cell lysates were centrifuged at 14,000 × g for 5 min at 4°C and diluted to 400 µg per array set. Cell lysates were incubated with membranes overnight at 4°C on a rocking platform shaker. Then, the membranes were incubated with detection antibody cocktail for 2 h and Streptavidin-HRP for another 30 min at room temperature. The signal was detected by incubating the membranes with Chemi Reagent Mix and exposing to film.
FACS analysis
After treatment with SP or knockdown of PRMT1 for 2 days, the cells were collected and incubated with the MUSE Annexin V and Dead Cell Assay kit (cat. no. MCH100105; Merck KGaA) for 20 min at room temperature. After incubation, ~5×104 cells were analyzed using a Muse Cell analyzer (Merck KGaA) (18). The FACS result was analyzed using Muse 1.5 Analysis (Merck KGaA).
siRNA transfection
siRNA duplexes against PRMT1 (siPRMT1; 5′-GAGUUCACACGCUGCCACATT-3′, 5′-UGUGGCAGCGUGUGAACUCTT-3′) were purchased from ST Pharm Co., Ltd. (Seoul, South Korea). Negative control siRNA (siCont; 5′-AUGAACGUGAAUUGCUCAATT-3′, 5′-UUG AGCAAUUCACGUUCACTT-3′) was used as a control (19). The siRNAs (100 nM) were transfected into cancer cell lines using RNAiMax (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) for 48 h.
Semi-quantitative reverse transcription PCR and quantitative real-time PCR
Total RNA was isolated from the indicated cell lines using a Qiagen RNeasy Mini kit (Qiagen Inc., Valencia, CA, USA) according to the manufacturers instructions. RNA aliquots of 1 µg were then reverse-transcribed using the iScript™ cDNA synthesis kit (Bio-Rad Laboratories, Inc., Hercules, CA, USA), according to the standard protocols provided by the manufacturer. For semi-quantitative RT-PCR, cDNA was used as a template for PCR using AccuPower® HotStart PCR PreMix (Bioneer, Daejeon, South Korea). For quantitative RT-PCR, PCR reactions (PRMT1: annealing temperature 55°C, 30 cycles; ACTB: annealing temperature 58°C, 28 cycles) were performed using the SimpliAmp Thermal Cycler (Applied Biosystems; Thermo Fisher Scientific, Inc.) following the manufacturers instructions. Quantitative real-time PCR was performed on cDNA samples using Brilliant III Ultra-Fast SYBR® Green QPCR Master Mix and the signal was detected using AriaMx Real-Time PCR System (both from Agilent Technologies, Inc., Santa Clara, CA, USA). The fluorescence threshold value was calculated using Agilent Aria 1.6 software (Agilent Technologies, Inc.) (20,21). The PCR primers were as follows: PRMT1 forward, 5′-GGGCTACTGCCTCTTCTACGAGTC-3′ and reverse, 5′-GTCTTTGTACTGCCGGTCCTCGTAG-3′; and ACTB forward, 5′-ACTCTTCCAGCCTTCCTTCC-3′ and reverse, 5′-CAATGCCAGGGTACATGGTG-3′.
Western blot analysis
The cells were washed once with phosphate-buffered saline (PBS) and then lysed in cold lysis buffer (50 mM Tris-HCl, pH 7.4, 150 mM NaCl, 1% Triton X-100, 0.1% SDS, 1 mM EDTA, 1 mM Na3VO4, 1 mM NaF and 1X protease inhibitor cocktail). Cell lysates were centrifuged at 14,000 × g for 15 min at 4°C and then boiled in 5X sample buffer following protein determination (BSA, cat. no. 23208; Thermo Fisher Scientific, Inc.). The protein samples were subjected to western blot analysis. For western blot analysis, nitrocellulose membranes (cat. no. 1620145; Bio-Rad Laboratories) and blocking reagent (5% skim milk, 1 h at room temperature), 4–20% precasting gel (cat. no. 456-1094; Bio-Rad Laboratories) were used with the indicated antibodies at a 1:1,000 dilution ratio (22). The samples were stained with the following antibodies: anti-PRMT1 (cat. no. 2449), PARP (cat. no. 9542), caspase-3 (cat. no. 9662), phospho-p70 S6 kinase (Thr389) (cat. no. 9234), p70 S6 kinase (cat. no. 9202) all from Cell Signaling Technology (Danvers, MA, USA) and PRMT1 (cat. no. sc-166963) and ACTB (cat. no. sc-47778) from Santa Cruz Biotechnology, Inc. (Santa Cruz, CA, USA). Secondary antibodies (rabbit; cat. no. SC-2357, mouse; cat. no. SC-2031; Santa Cruz Biotechnology) were incubated at room temperature for 1 h, and ECL solution (cat. no. 170-5060; Bio-Rad Laboratories) was used for visualization. Chemiluminescence imaging system (Mini HD9; UVitec, Cambridge, UK) was used for imaging.
Statistical analysis
Results were expressed as the mean ± SD (error bars) of three independent experiments. One-way analysis of variance (ANOVA) with Bonferroni post hoc test was performed using Graphpad Prism 5.0 (Graphpad Software, Inc., La Jolla, CA, USA). The cut-off for significance was P<0.05.
Results
SP suppresses the proliferation of the HCT116 and SW480 cell lines
First, to verify the anticancer activity of propionate in colon cancer, a cell growth assay and CCK-8 analysis were performed. Following treatment with SP, a significant SP dose-dependent reduction of the number of cells and growth rates was observed compared to those of the control (Figs. 1A and B and 2A and B). In addition, in western blot analysis, cleaved PARP and cleaved caspase-3 were clearly increased after SP treatment, implying that propionate suppressed cell proliferation in CRC cell lines via the apoptosis pathway (Fig. 1C). Moreover, FACS analysis using Annexin V staining after treatment with SP revealed that the proportion of apoptotic cells (early and late apoptotic cells) increased compared to that of the control group in a dose-dependent manner in HCT116 and SW480 cell lines (Figs. 1D and 2C). Thus, treatment of CRC cell lines with propionate revealed anticancer effects similar to those of butyrate treatment.
Treatment with propionate reduces PRMT1 expression in the HCT116 cell line
Recently, epigenetic modifiers related to DNA methylation and histone modification have been strongly associated with cell proliferation and metastasis in several types of cancer (23). Therefore, in the present study, the identification of the novel epigenetic modifiers controlled by propionate treatment in colon cancer, was attempted. To investigate the relationship between epigenetic modifiers and propionate treatment in colon cancer, an in silico epigenetic panel (61 histone methyltransferases/demethylases, 28 histone acetylases/deacetylases and 7 DNA methyltransferases/demethylases) was established to select epigenetic modifiers overexpressed in colon cancer (data not shown). To examine the expression levels of epigenetic modifiers, the RNA-seq results for colon cancer (n=521) and normal samples (n=51) derived from the TCGA portal were evaluated, and PRMT1, which is a histone arginine methyltransferase 1 (>2-fold change), was selected from the PRMTs (Fig. 3A). Since the knockdown of PRMT1 was revealed to suppress cell proliferation in hepatocellular carcinoma (HCC), lung cancer and bladder cancer (15,24), RT-PCR and qRT-PCR analysis after treatment with SP in the HCT116 cell line was performed to assess the relationship between propionate treatment and PRMT1 expression. As observed in Fig. 3B and C, the expression level of PRMT1 was decreased by SP treatment in a dose-dependent manner. Concurrently, the reduction of PRMT1 expression by SP treatment using western blot analysis was confirmed (Fig. 3D). Collectively, these data revealed the negative regulation of PRMT1 expression by propionate treatment in colon cancer, indicating that PRMT1 downregulation induced by SP treatment may lead to anticancer effects via the induction of cell apoptosis.
Overexpression of PRMT1 in colon cancer
GENT2 analysis (http://gent2.appex.kr/gent2/) revealed that PRMT1 was overexpressed in several types of cancer, including colon cancer (Fig. 4A), and dot blot graph revealed that the expression levels of PRMT1 were significantly increased in colon cancer, with data derived from the TCGA portal (Fig. 4B). Additionally, in Oncomine data (https://www.oncomine.org), the expression level of PRMT1 in colon cancer samples was higher than that in normal colon and rectum samples (Fig. 4C). Thus, in colon cancer, PRMT1 was overexpressed, and the functions of PRMT1 in colon cancer may be involved in colon cancer proliferation. These results indicated that overexpressed PRMT1 may become a useful molecular target for propionate treatment.
Knockdown of PRMT1 suppresses cell proliferation via the apoptosis pathway
To determine whether overexpressed PRMT1 is related to colon cancer proliferation, a PRMT1-specific siRNA was designed and PRMT1 knockdown analysis was performed. In RT-PCR and qRT-PCR analysis, PRMT1 expression was significantly decreased by treatment with siPRMT1 compared to that in cells treated with siCont (Fig. 5A). In cell growth analysis, cell staining with crystal violet revealed that the number of stained cells was reduced by PRMT1 knockdown (Fig. 5B). In addition, the proliferation of HCT116 cells was clearly suppressed after the knockdown of PRMT1 using CCK-8 analysis (Fig. 5C). Additionally, as revealed in Fig. 1D, PRMT1 knockdown induced cleaved PARP and caspase-3 compared to the levels in cells treated with siCont; moreover, in FACS analysis, the proportion of apoptosis was increased in PRMT1 knockdown samples (Fig. 5D and E). Thus, it was demonstrated that PRMT1 expression was associated with colon cancer proliferation, and cell apoptosis induced by propionate treatment was linked to the PRMT1-related apoptosis pathway.
p70 S6 kinase phosphorylation status is regulated by SP treatment and PRMT1 knockdown
To assess the pathway for propionate/PRMT1-induced apoptosis, a phospho-array was purchased from R&D Systems. Fig. 6A revealed that the intensity of positive spots after treatment with 0 mM propionate was similar to that of the positive spots after treatment with 5 mM propionate; however, the p70 S6 kinase (Thr389) phosphorylation status was reduced by 5 mM SP treatment compared to that of the control. Tang et al reported that the phosphorylation of mTOR, 4E-BP1 and p70 S6 kinase was reduced depending on the concentration of propionate and the incubation time, and the mTOR pathway was involved in the suppression of colon cancer proliferation and the stimulation of cell apoptosis (9,25,26). Notably, the results of the phospho-array using cell lysates from cells subjected to PRMT1 knockdown also demonstrated that the phosphorylation of p70 S6 kinase was reduced compared to that of cells subjected to SP treatment (Fig. 6A). To confirm the phospho-array results, western blot analysis was carried out using a phospho-antibody. After treatment of HCT116 cells with SP, the downregulation of PRMT1 expression was clearly detected, and the phosphorylation of p70 S6 kinase was reduced after both PRMT1 knockdown and 5 mM SP treatment compared to that of cells treated with siCont and 0 mM SP (Fig. 6B). Collectively, these results indicated that treatment with SP induced cell apoptosis via the inhibition of the mTOR signaling pathway by PRMT1 downregulation in colon cancer (Fig. 6C). Therefore, this novel PRMT1-related mechanism induced by propionate treatment in colon cancer may help to increase our understanding of the use of propionate treatment for colon cancer patients.
Discussion
Epigenetic modifiers [histone methyltransferase (HMT)/demethylase (HDM]), histone acetyltransferase (HAT)/deacetylase (HDAC) and DNA methyltransferase/demethylase] have been investigated as therapeutic targets for developing anticancer drugs in several cancers. In colon cancer, overexpression of epigenetic modifiers plays an important role in proliferation and metastasis. For example, EZH2, SMYD3, EHMT2 and LSD1 have been linked with colon cancer proliferation. In addition, p300 and HDAC are important factors in colon cancer (27–30). Thus, studies on reducing epigenetic modifier expression are required to treat colon cancer.
In the present study, it was demonstrated that PRMT1 is overexpressed in several cancers, including colon cancer, using GENT2, the TCGA portal and Oncomine data (Fig. 4). Generally, benign and malignant tumors are the main tumor types. In malignant tumors, carcinoma (carcinoma, squamous cell carcinoma and adenocarcinoma), sarcoma and undifferentiated carcinoma are divided. In colon cancer progression, several steps occur (Polyp >> precancer [adenoma] >> Stage I–IV). Thus, using Oncomine data, we focused on the high PRMT1 expression in several tumor types including malignant tumors and adenoma compared with the normal colon and rectum. In Fig. 4C, PRMT1 was overexpressed in colon adenoma, carcinoma and adenocarcinoma according to Oncomine data. Thus, it was indicated that PRMT1 was overexpressed in early colon cancer stages, and its overexpression may help to acquire malignant characteristics for colon cancer progression. In addition, it was clearly demonstrated that propionate treatment downregulated PRMT1 in the HCT116 cell line (Fig. 3). Subsequently, PRMT1 downregulation induced apoptosis by inhibiting phospho-p70 S6 kinase as revealed by siPRMT1 treatment (Figs. 5 and 6), however, to confirm the anticancer effect of SP, cell growth assays with crystal violet were performed after SP treatment (0 and 5 mM) in normal enterocytes and the HCT116 cell line. Notably, the effect of SP treatment could not be detected in normal enterocytes (data not shown). Therefore, it is suggested that SP may play a role as an anticancer agent for colon cancer treatment.
Recently, our group reported that PRMT1 could serve as a prognostic and therapeutic marker in hepatocellular carcinoma (HCC), and PRMT1 overexpression downregulated CDKN1A to promote HCC proliferation (15). Additionally, Mathioudaki et al reported that high PRMT1 expression was associated with poor survival rates in patients with colon cancer (31). Therefore, PRMT1 should be recognized as a useful therapeutic marker for CRC treatment, and developing novel methods for downregulating PRMT1 expression or activity is important for CRC therapy. AMI-1 is a pan-PRMT inhibitor, and treatment with this agent suppressed cell proliferation by reducing arginine methylation. However, problems have been reported regarding the specificity and adverse effects of PRMT inhibitors (32). Thus, downregulation of PRMT1 by propionate treatment should be recognized as a safe procedure for CRC treatment since propionate is a bacterial fermentative product in the colonic epithelium and a safe compound authorized in the EU for food use. Therefore, developing PRMT1 inhibitors and establishing guidelines for co-treatment with propionate and PRMT1 are required to increase the curative value of this approach in CRC treatment.
As revealed in Fig. 3, although propionate treatment decreased PRMT1 expression, the definite mechanisms that link propionate and PRMT1 regulation remain unknown. Similar to butyrate, propionate was also revealed to inhibit HDAC (5). First, it was hypothesized that the reduction in HDAC activity by propionate would decrease PRMT1 expression. However, as hyperacetylation by propionate is associated with reconstructing the euchromatin structure from heterochromatin to induce gene expression, PRMT1 downregulation by propionate may not be involved in the hyperacetylation mechanism. However, upregulation of unknown regulators by propionate-induced hyperacetylation may affect the suppression of PRMT1 expression. Thus, the relationship between PRMT1 and propionate should be investigated, and the status of H4R3me2 after SP treatment should be validated in further studies.
SCFA treatment induced apoptosis in colon cancer via mitochondrial defects and mTOR pathway inhibition (25,26,33). Additionally, the cAMP/PKA/CREB pathway is controlled by SCFAs for dysregulating inflammatory suppressors in the colonic epithelium (34). In the present study, to ascertain the common signaling pathway for cellular apoptosis used by propionate and PRMT1 knockdown, phospho-array analysis was performed after treatment with propionate and siPRMT1 and a reduction in p70 S6 kinase phosphorylation after separate treatments with propionate and siPRMT1 was observed (Fig. 6A). This is the first study, to the best of our knowledge, which revealed PRMT1-related mTOR signaling pathway effects in colon cancer. Liao et al demonstrated that overexpressed PRMT1 methylated the EGF receptor to increase EGFR signaling activation. Subsequently, the ERK and AKT pathways were activated for survival during cetuximab treatment (16). Thus, it is suggested that: i) the AKT pathway, which is regulated by PRMT1, may affect the mTOR pathway; or ii) the epigenetic mechanism induced by PRMT1 may regulate the mTOR pathway. Therefore, this study was the first to report PRMT1 downregulation by propionate treatment in the HCT116 cell line. Suppressed cell growth via mTOR signaling pathway inhibition was also observed. Thus, this mode-of-action (MOA) study of propionate treatment in colon cancer may provide a basis for new guidelines, such as a dietary therapy, for CRC patients.
Acknowledgements
Not applicable.
Funding
The present study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2018M3A9H3023077) and the KRIBB Research Initiative Program. The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
The datasets used during the present study are available from the corresponding author upon reasonable request.
Authors contributions
DSK and HSC were involved in the conception and design of the study. TYR, TSH and KK were involved in the development of the methodology. DSK, MYS and JKM were involved in the analysis and interpretation of the data (e.g., statistical analysis, biostatistics and computational analysis). KK, TYR, JK, DSK, MYS, JKM and HSC were involved in the writing, reviewing and/or revision of the manuscript. JK and JKM were responsible for administrative, technical or material support. DSK and HSC supervised the study. All authors read and approved the manuscript and agree to be accountable for all aspects of the research in ensuring that the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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.
Glossary
Abbreviations
Abbreviations:
CRC |
colorectal cancer |
SP |
sodium propionate |
SCFA |
short-chain fatty acid |
TCGA |
The Cancer Genome Atlas |
MBD2 |
methyl-DNA binding domain 2 |
FACS |
fluorescence-activated cell sorting |
FBS |
fetal bovine serum |
siCont |
siRNA control |
HDAC |
histone deacetylase |
CCK-8 |
Cell Counting Kit-8 |
HCC |
hepatocellular carcinoma |
EU |
European union |
MOA |
mode of action |
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