Methylation and mutation of the inhibin‑α gene in human melanoma cells and regulation of PTEN expression and AKT/PI3K signaling by a demethylating agent
- Authors:
- Published online on: December 23, 2021 https://doi.org/10.3892/or.2021.8248
- Article Number: 37
Abstract
Introduction
Inhibins, which members of the transforming growth factor-β superfamily, are heterodimers consisting of a common α-subunit and one of two homologous β-subunits (βA or βB) (1,2). Inhibin suppresses the production and secretion of follicle-stimulating hormone in classical endocrine function and acts in an autocrine and paracrine manner in reproductive tissues (3,4). Studies in transgenic mice have identified a tumor-suppressor role of inhibin-α (5,6). Inhibin-α gene expression is inhibited in malignant sites of high-grade prostate cancer tissue, but inhibin-α is not expressed in poorly differentiated tumor cells. Accordingly, unlike ovarian granulocyte tumor cells, inhibin-α gene is expressed at low levels in poorly differentiated prostate cancer (7). DNA methylation may be responsible for this transcriptional silencing (8).
Methylation is catalyzed by enzymes and is involved in heavy metal modification, gene expression regulation, protein function regulation and RNA processing. Aberrant methylation of CpG islands that are not normally methylated occurs relatively frequently in immortalized and transformed cells, and this phenomenon is associated with inappropriate silencing of human tumor suppressor genes (9,10). This modification is particularly associated with CpG islands in the promoter region and has important regulatory effects on gene expression (11,12). CpG island methylation is an epigenetic change involved in tumorigenesis via transcriptional inactivation (13). Epigenetic changes, including DNA methylation and histone modifications, represent important mechanisms for cancer suppressor gene silencing and affect chromatin structure and genomic stability (14). The DNA methylation characteristics of skin metastatic tumor tissue can provide predictive evidence of therapeutic response to immune checkpoint suppression in patients with stage IV metastatic melanoma (15). Latent methylation component-based detection of DNA methylation has been indicated to be a tool for developing classifiers and evaluating treatment response in patients with cancer undergoing targeted immunotherapy (16). DNA methylation at CpG sites in cancer is an epigenetic change. Hypermethylation limits immune checkpoint blockade therapy by inhibiting the endogenous interferon response in cancer cell recognition (17). Conversely, hypomethylation indicates the expression of programmed death ligand 1 and inhibitory cytokines accompanied by epithelial-mesenchymal changes, which may contribute to immunosuppression (18). Melanoma pathogenesis is facilitated through numerous genomic alterations in various components of the mitogen-activated protein kinase and phosphoinositol-3-kinase (PI3K) pathways (19), and these pathways have been examined for potential use as biomarkers in advanced melanoma treatment and prognosis strategies (20).
Transcriptional silencing of the inhibin-α gene has been confirmed in human prostate cancer, gastric cancer and leukemia (21–23). The primary causes of the silencing were methylation, mutation and heterozygous loss of chromosomal abnormalities in the inhibin-α promoter. The human inhibin α-gene is located at the q33-q36 region of chromosome 2, and a deletion of 2q has been observed in numerous human tumors, including prostate cancer (24–26). Inhibin serves an important role in hormonal regulation; however, there has been no investigation of its methylation, mutations and chromosomal abnormalities in human melanoma cells.
Therefore, the methylation status, mutations and loss of heterozygosity (LOH) of the inhibin-α gene promoter, as well as the regulation of inhibin-α gene expression by an inhibitor of DNA methylation [5-aza-2′-deoxycytidine (5-Aza-dC)] in human melanoma cells were investigated. In addition, the association between a mutation in the inhibin-α 5′-untranslated region (5′-UTR) and the expression of phosphatidylinositol 3,4,5-trisphosphate-dependent Rac exchanger 2 (PREX2) and phosphatase and tensin homolog (PTEN) as well as AKT/PI3K signaling was examined.
Materials and methods
Cell culture
G361, SK-MEL-3, SK-MEL-5, SK-MEL-24 and SK-MEL-28 human melanoma cell lines were purchased from the American Tissue Culture Collection. SNU-668 cells (inhibin-α positive control cells) were supplied from Korean Cell Line Bank; Korean Cell Line Research Foundation. G361 and SNU-668 cells were cultured in RPMI-1640 medium (Corning, Inc.), and SK-MEL-3, SK-MEL-5, SK-MEL-24 and SK-MEL-28 cells were cultured in Dulbecco's modified Eagle medium (Corning, Inc.) containing 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) and antibiotic-antimycotic solution (Gibco; Thermo Fisher Scientific, Inc.) at 37°C in a humidified atmosphere with 5% CO2 and 95% air.
Bisulfite modification
Genomic DNA was extracted using Wizard Genomic DNA purification kit (cat. no. A1120; Promega Corporation). DNA (2 µg) methylation was performed using a bisulfite conversion kit (cat. no. D5001; EZ DNA methylation kit; Zymo Research Corp.) according to the manufacturer's protocol. DNA was resuspended in 20 µl water and either used immediately or stored at −20°C.
Detection of methylation
Methylation was assessed via polymerase chain reaction (PCR) and sequence analysis of the bisulfite-treated DNA. The bisulfite reaction converted unmethylated cytosine to uracil, whereas methylated cytosine remained unchanged. The inhibin-α 5′-UTR region was amplified using nested PCR with primers designed for the bisulfite-converted sequence, as previously described (26). The primer sequences are listed in Table I. Primer sequences methylation-specific PCR (MSP) 1 and 2 were used for the first round of PCR, whereas primer sequences MSP 3 and 4 were used for the second round. The first round of PCR was performed in a 25-µl reaction mixture consisting of 2 µl bisulfite-converted DNA, 1X PCR buffer (10 mM Tris-HCl pH 8.3, 50 mM KCl, 1.5 mM MgCl2), 0.2 mM dNTPs, 10 pmol of each primer (1 and 2) and 1 unit AmpliTaq Gold DNA polymerase (Applied Biosystems; Thermo Fisher Scientific, Inc.). The first round of PCR cycle conditions were as follows: 95°C for 15 min, followed by five cycles at 95°C for 1 min, 50°C for 2 min and 72°C for 3 min and 30 cycles at 95°C for 1 min, 55°C for 2 min and 72°C for 2 min, with a final incubation step at 72°C for 10 min. A 2-µl sample of the first PCR product was amplified in a 25-µl reaction mixture as aforementioned, except for primers 3 and 4 being used. The second round PCR conditions included 35 cycles at 95°C for 1 min, 60°C for 2 min and 72°C for 2 min. The PCR products were electrophoresed on 1.5% agarose containing 0.5 µg/ml ethidium bromide, gel-purified, ligated into the pCR2.1-TOPO vector, and cloned using the TOPO TA Cloning Kit according to the manufacturer's protocol (cat. no. 45-0641; Invitrogen; Thermo Fisher Scientific, Inc.). For each PCR, 10 clones were sequenced, and the methylation status at each of the seven CpGs was determined. Sequencing analysis was performed by BIONICS Co., Ltd. using a high throughput DNA analyzer (3730XL DNA Analyzer; Applied Biosystems; Thermo Fisher Scientific, Inc.) according to the Sanger method.
DNA analysis
DNA was isolated from cultured cells using standard methods. Two regions of the inhibin-α gene were amplified from genomic DNA using PCR with specific oligonucleotide primers as previously described (27). The first region of 240 bp (fragment A), which includes 140 bp of 5′-UTR and 100 bp of exon 1, and the second region of 396 bp (fragment B), which comprises part of exon 2, was amplified using the primers listed in Table I. Genomic DNA (200 ng) was amplified in a 50-µl reaction mixture containing 1X PCR buffer, 2 mM MgCl2, 2.5% DMSO, 0.2 mM of each dNTP, 20 pmol of each specific primer and 1.5 unit of AmpliTaq Gold DNA polymerase. The conditions for the amplification were as follows: Denaturation at 95°C for 14 min; followed by denaturation at 95°C for 40 sec, annealing at 57°C for 30 sec and extension at 72°C for 1 min for 35 cycles; and a final extension at 72°C for 7 min. The polymorphism −16C->T in the 5′-UTR was screened via restriction enzyme analysis with SpeI (New England Biolabs, Inc.). Briefly, fragment A was amplified using PCR, and 5 µl of the purified PCR product were digested overnight at 37°C with 5 units SpeI, electrophoresed on 8% acrylamide gels, stained with 0.5 µg/ml ethidium bromide, and visualized using a Gel Doc 1000 Gel Documentation System (Bio-Rad Laboratories, Inc.). The presence of a 240-bp fragment indicated a homozygous wild-type variant, whereas the presence of two 120-bp fragments corresponded to the homozygous variant T. The substitution of 769G->A in exon 2 was analyzed via digestion of fragment B with different restriction enzymes. In brief, 5 µl of the purified PCR product were digested overnight at 37°C with 5 units of BsrFI (New England Biolabs, Inc.) and analyzed as aforementioned. The restriction site that renders two fragments of 340 and 56 bp was abolished in the variant allele. In addition, 5 ml of the purified PCR product was digested overnight at 37°C with 5 units of Fnu4HI (New England Biolabs, Inc.), electrophoresed on 15% acrylamide gels, stained with 0.5 µg/ml ethidium bromide, and visualized by image analysis. The 396-bp fragment rendered four fragments of 153, 107, 51 and 25 bp, among other fragments of lower molecular weight in the wild-type allele, whereas the allele with a 769G->A substitution rendered four fragments of 153, 107, 76 and 51 bp, among other fragments of lower molecular weight.
LOH analysis
LOH was determined using microsatellite markers on 2q32-q33 and 2q33-q36, as previously described (26). The oligonucleotide primer sequences are listed in Table I. PCR was performed in a 20-µl reaction mixture consisting of 200 ng DNA, 1X PCR buffer, 0.2 mM of each dNTP, 10 pmol of each primer and 1 unit of AmpliTaq Gold DNA polymerase. The conditions for amplification were as follows: Denaturation at 95°C for 14 min; followed by denaturation at 95°C for 1 min, annealing at 55°C for 1 min and extension at 72°C for 1 min for 35 cycles; and final extension at 72°C for 10 min. Subsequently, 10 µl PCR products were mixed with 10 ml of stop solution containing 95% formamide, 10 mM NaOH, 0.25% bromophenol blue and 0.25% xylene cyanol FF. The mixture was denatured at 95°C for 5 min, placed on ice for 5 min, electrophoresed on 12% acrylamide gels containing 10% glycerol with 1X Tris/Borate/EDTA buffer, and stained with 0.5 µg/ml ethidium bromide. LOH was defined as a reduction in the intensity of the signal of a single allele by >50% in the tumor cell DNA as assessed by direct visualization, compared with DNA of peripheral blood lymphocytes (22,23). Allelic imbalance was evaluated when a difference in the running pattern of the products was observed.
5-Aza-dC treatment
Cells were seeded at a density of 5×105 cells/100 mm culture dish. The cells were allowed to attach for 24 h and then exposed to different concentrations (0, 0.1, 0.5, 2, 5, and 10 µM) of the DNA methylation inhibitor 5-Aza-dC (Sigma-Aldrich; Merck KGaA) for 5 days at 37°C. The medium and the drug were replaced every 2 days. At the end of the treatment period, the medium was removed, and the cell pellets were subjected to reverse transcription-quantitative PCR (RT-qPCR) and immunoblot analysis.
Cell proliferation assay
For the cell viability assay, cells were seeded at 5×104 cells/well in 6-well plates and exposed to various concentrations (0, 0.1, 0.5, 2, 5 and 10 µM) of 5-Aza-dC for 5 days at 37°C. To evaluate cell doubling time following exposure to 5 µM 5-Aza-dC, the cells were seeded at 2×104 cells/well in 12-well plates containing culture medium. Cell number was determined daily using the trypan blue exclusion assay (0.4% trypan blue solution; 10 µl diluted cells combined with 10 µl trypan blue solution) for 5 consecutive days. Untreated cells were analyzed under similar conditions as a control. The cell number was counted under a light microscope (magnification, ×100). The average cell number from two plates was determined, and the mean cell numbers were plotted to calculate the cell population doubling times.
RNA isolation and RT-qPCR
Total RNA was purified from cultured cells using the TRIzol® reagent method, according to the manufacturer's protocol (Invitrogen; Thermo Fisher Scientific, Inc.). First-strand cDNA synthesis was performed using 1 µg total RNA and Oligo(dT)15 primers in a reverse transcription system kit (cat. no. A3500; Promega Corporation), according to the manufacturer's protocol. The primer sequences are listed in Table I.
PCR was performed using 2 µl cDNA in a 50-µl reaction mixture containing 1X PCR buffer, 200 µM of each dNTP, 20 pmol of each inhibin-α primer and 2 units of AmpliTaq Gold DNA polymerase. The reactions were carried out in a thermal cycler with an initial denaturation step at 95°C for 14 min; followed by 35 cycles (25 cycles for β-actin) of denaturation at 95°C for 1 min, primer annealing at 50°C (inhibin-α) and 55°C (β-actin) for 1 min; and a final extension step at 72°C for 1 min. The reaction was terminated at 72°C for 10 min, and samples were stored at 4°C. Next, 10 µl of PCR products were separated by electrophoresis on a 1.5% agarose gel containing ethidium bromide (0.5 µg/ml) and visualized using image analysis.
RT-qPCR was performed on a StepOnePlus Real-Time PCR System with the Power SYBR Green PCR Master Mix (Applied Biosystems; Thermo Fisher Scientific, Inc.). The gene-specific primer sequences used are listed in Table I. PCR was performed using 1 µl cDNA in a 20-µl reaction mixture containing 10 µl Power SYBR Green PCR Master Mix, 2 µl primers and 7 µl PCR-grade water. The reaction conditions included denaturation at 95°C for 10 min, followed by 40 cycles at 95°C for 15 sec and 60°C for 1 min. The crossing points of the target genes with β-actin were obtained, and the relative amounts were quantified using the 2−ΔΔCq method (28).
Fluorescein isothiocyanate (FITC)-flow cytometric analysis of inhibin-α protein
Cultured cells were detached using 0.05% trypsin-EDTA solution. After being washed with cold phosphate-buffered saline (PBS), the cells were incubated with an anti-inhibin-α mouse monoclonal antibody (1:50; cat. no. sc-365439; Santa Cruz Biotechnology, Inc.) or normal mouse serum (1:50; cat. no. sc-45051; Santa Cruz Biotechnology, Inc.) as a negative control for 30 min at 4°C. After three washes with cold PBS, the cells were stained with a FITC-labeled mouse antibody (1:50; sc-516140; Santa Cruz Biotechnology, Inc.) for 30 min at 4°C. Washing was repeated in the same manner, and cell-surface immunofluorescence was analyzed using a FACSCalibur instrument with the CellQuest software 6.0 (both from BD Biosciences).
Immunoblot analysis
Cells were washed with cold PBS and then lysed using cell lysis buffer (Cell Signaling Technology, Inc.) containing 1 mM PMSF (Sigma-Aldrich; Merck KGaA). Protein concentration was determined using the BCA protein assay (Pierce; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Briefly, 10 µg of protein was fractionated by 10% SDS-PAGE and then transferred onto a nitrocellulose membrane (Amersham; Cytiva). The membranes were blocked with 1% bovine serum albumin (Sigma-Aldrich) for 1 h at room temperature and then incubated overnight at 4°C with antibodies against AKT (cat. no. 4685), phosphorylated (p)-AKT (cat. no. 9271), PTEN (cat. no. 9559) (all from Cell Signaling Technology, Inc.), p-PI3K (cat. no. ab182651), PREX2 (cat. no. ab169027) (both from Abcam), PI3K (cat. no. sc-1637; Santa Cruz Biotechnology, Inc.) and β-actin (cat. no. A1978; Sigma-Aldrich; Merck KGaA), which were all diluted at 1:1,000 (1:5,000 for β-actin) with Tris-buffered saline containing 0.05% Tween 20 (TBS-T). After washing with TBS-T for 1 h, the membranes were incubated for 1 h at room temperature with anti-rabbit (cat. no. 7074) and anti-mouse (cat. no. 7076) horseradish peroxidase-conjugated secondary antibodies (Cell Signaling Technology, Inc.) diluted at 1:2,500 (1:10,000 for β-actin only) in TBS-T. The membranes were subsequently washed with TBS-T for 1 h, and proteins were detected using Amersham ECL Prime Western Blotting Detection Reagent (Cytiva). Protein levels were analyzed using an Amersham Imager 600 (Cytiva). Protein band densities were measured using the ImageJ analysis software (version 1.44; National Institutes of Health).
Statistical analysis
Data are presented as the mean ± SEM of three independent samples. Data were compared using one-way analysis of variance followed by Tukey's post-hoc test. Statistical analyses were performed using GraphPad Prism 5 software (GraphPad Software Inc.). *P<0.05 and **P<0.01 were considered to indicate a statistically significant difference.
Results
Methylation status of the inhibin-α gene promoter in human melanoma cells
The methylation state of the inhibin-α gene was investigated in human melanoma cells. The methylation status of the CpG sites of the inhibin-α promoter was analyzed via MSP of bisulfite-treated DNA, and clones were analyzed by sequencing. Methylation was determined for the seven CpG sites in the 135 bp regions from −149 to −284 of the ATG site in the human inhibin-α gene promoter via bisulfite DNA sequencing (Fig. 1A). The inhibin-α promoter was hypermethylated in G361, SK-MEL-3, SK-MEL-24 and SK-MEL-28 cells and moderately methylated in SK-MEL-5 cells (Fig. 1B).
Mutations and LOH in the inhibin-α gene of human melanoma cells
Two polymorphic sites in the inhibin-α gene of human melanoma cells, namely −16C->T in the 5′-UTR and 769G->A in exon 2, were assessed for mutations. Genomic DNA was amplified by PCR. PCR products were digested with restriction enzyme, and electrophoresed on acrylamide gels, stained with ethidium bromide and photographed. The PCR product (fragment A) including nucleotide-16 was digested using SpeI enzyme (Fig. 2A). Polymorphisms were examined within the 5′-UTR and exon 1 and were used to divide the cell lines into the following two groups: i) The CC genotype (SK-MEL-3 cells); and ii) the CT genotype (G361, SK-MEL-5, SK-MEL-24, and SK-MEL-28 cells). Substitution of 769G->A in exon 2 was detected via digestion by a restriction enzyme. A PCR product comprising nucleotide 769, fragment B, was digested with BsrFI enzyme, but was not detected in human melanoma cells (Fig. 2B). Fragment B was digested using Fnu4HI enzyme, and a single base change at 769G->A of exon 2 was observed in SK-MEL-3 cells (Fig. 2C). Analysis of the 2q chromosome arm investigated microsatellite markers on 2q32-33 (D2S389) and 2q33-36 (D2S128). Furthermore, 2q32-33 was revealed to display allelic imbalance in G361, SK-MEL-3, SK-MEL-24 and SK-MEL-28 cells. LOH at 2q33-36 was observed in G361 and SK-MEL-3 cells, and allelic imbalance was identified in SK-MEL-5 cells (Fig. 2D).
Gene mutations in human melanoma cells
The BRAF gene was mutated in G361, SK-MEL-28 (V599E), SK-MEL-3, SK-MEL-5 and SK-MEL-24 (V600E) cells. The p53 gene was mutated in SK-MEL-3 (exon 8) and SK-MEL-28 (exon 5) cells; however, the wild-type gene was identified in G361, SK-MEL-5 and SK-MEL-24 cells. The N-ras gene was not mutated in any melanoma cells (Table II).
Effects of 5-Aza-dC on the cell growth suppression and doubling time of human melanoma cells
Human melanoma cells were treated with various concentrations of 5-Aza-dC for 5 days. Cell viability was determined using an automatic counter. 5-Aza-dC notably inhibited the proliferation of melanoma cells in a dose-dependent manner, compared with that of the control. The doubling time of human melanoma cells was increased by 1.07-1.75-fold (Table III).
Effect of 5-Aza-dC treatment on inhibin-α mRNA and protein levels in human melanoma cells
RT-qPCR analysis revealed low or undetectable mRNA expression levels of inhibin-α in all melanoma cells (Fig. 3A). To evaluate the role of methylation in the inactivation of the inhibin-α gene promoter in human melanoma cells, a DNA methyltransferase inhibitor, 5-Aza-dC, was used. Human melanoma cells were treated with 2 and 5 µM of 5-Aza-dC, and inhibin-α mRNA and protein levels were evaluated using RT-qPCR and flow cytometric analysis with FITC staining, respectively. 5-Aza-dC increased the mRNA levels of inhibin-α by 3.6-37.9-fold (Fig. 3B) and its protein levels by 1.5-3.3-fold (Fig. 3C).
Effect of 5-Aza-dC treatment on PREX2 and PTEN expression in human melanoma cells
After treatment with 5-Aza-dC, protein expression was determined using immunoblot analysis. PREX2 protein expression increased in G361 and SK-MEL-24 cells, but decreased in SK-MEL-3, SK-MEL-5 and SK-MEL-28 cells. PTEN protein expression was mostly decreased in melanoma cells (Fig. 4A and B).
Effect of 5-Aza-dC treatment on AKT and PI3K phosphorylation levels in human melanoma cells
The protein expression of AKT and PI3K in 5-Aza-dC-treated cells was evaluated via immunoblot analysis. AKT phosphorylation was increased in all melanoma cells, and PI3K phosphorylation was enhanced in melanoma cells except for G361 cells (Fig. 5A and B).
Discussion
Epigenetic changes, represented by promoter CpG island hypermethylation and histone alterations, are important carcinogenic mechanisms observed in almost all types of cancer (13,14). A total of ~60–70% of human genes have CpG islands in their promoters, and certain of these genes are hypermethylated to block the expression of the corresponding genes (29). Accordingly, the tumor suppressor function is lost, thereby promoting the growth of tumor cells. In the majority of cancers, in addition to local changes, such as promoter CpG island hypermethylation, genome-wide demethylation is often simultaneously observed. Such genomic hypomethylation is closely related to chromosomal instability (30,31). Melanoma was analyzed in a tumor model to investigate the association between DNA methylation of the MMP-9 gene and its overexpression at the transcription and protein levels, and hypermethylation was observed in the CpG-2 region of the MMP-9 gene (32). Aberrant DNA methylation is important for epigenomic regulation in melanoma formation and progression (33). Research on DNA methylation has advanced its potential use as a diagnostic, prognostic and therapeutic biomarker for cancer (34). In the present study, the degree of methylation was assessed in seven CpG sites in the inhibin-α gene promoter of human melanoma cells. A total of seven CpG sites in the 135 bp region in the inhibin-α gene promoter revealed significant hypermethylation (G361, SK-MEL-3, SK-MEL-24 and SK-MEL-28 cells) or moderate methylation (SK-MEL-5 cells) in human melanoma cells. Previously, primary prostate carcinoma has been revealed to present hypermethylation at the CpG1-4 and CpG7 sites, compared with non-malignant cells. The CpG6 site exhibited lower methylation levels, whereas the CpG5 site was unmethylated in non-malignant and malignant samples (26). The findings of the present study suggested that methylation of the CpG sites occurred in human melanoma cells and may be related to the cause of transcriptional silencing.
Mutations are frequently involved in the transcriptional silencing of cancer suppressor genes (35). A mutation at the −16-bp site of the 5′-UTR was found to be heterozygous in melanoma (G361, SK-MEL-5, SK-MEL-24 and SK-MEL-28) cells, and a mutation at 769G->A in exon 2 was identified in SK-MEL-3 cells, suggesting that human melanoma cells may be mostly affected by the −16>T allele variant. The present study revealed the occurrence of LOH in the 2q chromosome arm with one microsatellite marker at 2q32-36 in human melanoma cells. The 2q32-33 region displayed allelic imbalance in G361, SK-MEL-3, SK-MEL-24 and SK-MEL-28 cells. LOH at 2q33-36 was observed in G361 and SK-MEL-3 cells, and allelic imbalance was revealed in SK-MEL-5 cells; there were no cells with LOH both at 2q32-33 and 2q33-36. Chromosome 2q has been indicated to exhibit changes in prostate carcinoma and pediatric adrenocortical tumors (36–38). In addition, a 2q deletion has been revealed to indicate poor prognosis in the advanced stage of bladder carcinoma and head-and-neck squamous cell carcinoma (39,40). Taken together, the results of the present study indicated that hypermethylation and mutations in the inhibin-α gene and changes in its LOH may be associated with transcriptional silencing in human melanoma cells.
In the experiments of the present study, after treatment with the demethylating agent 5-Aza-dC, it was determined whether inhibin-α gene expression was reactivated. The mRNA and protein expression of inhibin-α in melanoma cells was increased after 5-Aza-dC treatment. Furthermore, an association was observed between inhibin-α mRNA and protein levels in human melanoma cells. In human cancer cells, inhibin-α mRNA expression has been demonstrated to be reactivated following treatment with 5-Aza-dC (21–23). Collectively, the results of the present study revealed that inhibin-α gene expression was increased by 5-Aza-dC in a dose-dependent manner. Interestingly, cells with a hypermethylated inhibin-α promoter exhibited a high mRNA and protein expression following 5-Aza-dC treatment, whereas cells that were moderately methylated exhibited low 5-Aza-dC gene expression. Among the examined melanoma cells, G361 and SK-MEL-3 cells, which exhibited LOH, presented higher mRNA and protein expression levels of inhibin-α than SK-MEL-5, SK-MEL-24 and SK-MEL-28 cells. This finding suggests that LOH is involved in demethylation.
Treatment with 5-Aza-dC decreased cell proliferation in a dose-dependent manner and substantially delayed the doubling time of surviving melanoma cells. These results suggested that inhibin-α has an important cellular function. Additionally, 5-Aza-dC affects the expression levels of several genes involved in cell cycle regulation, apoptosis and survival in hepatocellular carcinoma and leukemia cells (41,42).
PREX2 binds to PTEN through the guanine nucleotide exchange factor domain, thereby inhibiting PTEN activity. When PTEN activity is inhibited, PREX2 activates the downstream PI3K signaling pathway (43,44). PREX2 regulates pancreatic cancer cell proliferation, invasion and migration, presumably at least through modulation of the activity of PTEN and the PI3K signaling pathway (45). PTEN is a tumor suppressor gene that is frequently mutated or deleted. PTEN has been identified to inhibit cell proliferation and promote apoptosis in numerous cancer cell types, including breast cancer cells and HepG2 cells (46,47). Downregulation, inhibition or inactivation of PTEN increases mitochondrial ATP production. In addition, PTEN induces activation of the proteolytic cell apoptosis cascade by inhibiting the AKT/PI3K signaling pathway (48,49).
In the present study, PREX2 protein expression increased in G361 and SK-MEL-24 cells and decreased in SK-MEL-3, SK-MEL-5 and SK-MEL-28 cells after 5-Aza-dC treatment. PTEN protein expression mostly decreased in all melanoma cells. However, AKT and PI3K phosphorylation increased in most melanoma cells. These findings suggested that the AKT/PI3K signaling pathway was possibly affected by the PTEN expression pattern. Additionally, PREX2 overexpression has been indicated to decrease PTEN activity and increase AKT phosphorylation and PI3K signaling pathway activity. By contrast, knockdown of PREX2 enhanced PTEN activity and inhibited PI3K signaling pathway activity (45,50). A previous study indicated that wild-type mouse embryonic fibroblasts exhibited increased PTEN expression and decreased AKT phosphorylation. When PTEN was knocked out, PREX2 expression was slightly increased, PTEN was not expressed, and AKT phosphorylation was increased. However, when PREX2 was knocked out, PREX2 was not expressed, and AKT phosphorylation was decreased (51). PTEN is methylated by protein arginine N-methyltransferase 6 in the cytoplasm, and methylated PTEN can migrate from the cytoplasm to the nucleus, suggesting that it is difficult for PTEN to inhibit AKT/PI3K signaling (52). In the present study, the expression of PTEN and that of genes involved in AKT/PI3K signaling were compared following treatment with a demethylating agent. Based on the findings of the present study, it remains difficult to establish a direct association between inhibin-α methylation and PTEN expression as well as AKT/PI3K signaling.
In conclusion, the present study revealed the methylation, mutation and LOH of the inhibin-α gene in human melanoma cells. Inhibin-α gene expression was reactivated by a demethylating agent, and cell proliferation was inhibited. However, PREX2 expression either weakly increased or decreased, whereas AKT/PI3K signaling increased potentially owing to the decreased PTEN expression (Fig. 6). In addition, mutations in the tumor suppressor genes inhibin-α, PTEN and p53 were not associated with transcriptional silencing, gene expression and cell growth. Overall, mutations in the inhibin-α and BRAF genes appear to be frequent in melanoma cells. Therefore, further studies are required to determine the importance of biomarkers for the tumor suppressor gene inhibin-α.
Acknowledgements
Not applicable.
Funding
The present study was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (grant no. NRF-2017R1D1A1B03027993).
Availability of data and materials
The datasets used and/or analyzed in the current study are available from the corresponding author on reasonable request.
Authors' contributions
HK and YIK performed the experiments. HK, HJA and YIK analyzed the data and wrote the manuscript. HJA and YIK contributed to the study concept and design of the project. HJA and YIK confirm the authenticity of all the raw data. All authors reviewed the results. All authors have read and approved the final 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.
References
Vale W, Rivier J, Vaughan J, McClintock R, Corrigan A, Woo W, Karr D and Spiess J: Purification and characterization of an FSH releasing protein from porcine ovarian follicular fluid. Nature. 321:776–779. 1986. View Article : Google Scholar : PubMed/NCBI | |
Mathews LS: Activin receptors and cellular signaling by the receptor serine kinase family. Endocr Rev. 15:310–325. 1994. View Article : Google Scholar : PubMed/NCBI | |
Namwanje M and Brown CW: Activins and inhibins: Roles in development, physiology, and disease. Cold Spring Harb Perspect Biol. 8:a0218812016. View Article : Google Scholar : PubMed/NCBI | |
Mather JP, Moore A and Li RH: Activins, inhibins, and follistatins: Further thoughts on a growing family of regulators. Proc Soc Exp Biol Med. 215:209–222. 1997. View Article : Google Scholar : PubMed/NCBI | |
Matzuk MM, Finegold MJ, Su JG, Hsueh AJ and Bradley A: Alpha-inhibin is a tumour-suppressor gene with gonadal specificity in mice. Nature. 360:313–319. 1992. View Article : Google Scholar : PubMed/NCBI | |
Kumar TR, Donehower LA, Bradley A and Matzuk MM: Transgenic mouse models for tumour-suppressor genes. J Intern Med. 238:233–238. 1995. View Article : Google Scholar : PubMed/NCBI | |
Mellor SL, Richards MG, Pedersen JS, Robertson DM and Risbridger GP: Loss of the expression and localization of inhibin alpha-subunit in high grade prostate cancer. J Clin Endocrinol Metab. 83:969–975. 1998. View Article : Google Scholar : PubMed/NCBI | |
Curradi M, Izzo A, Badaracco G and Landsberger N: Molecular mechanisms of gene silencing mediated by DNA methylation. Mol Cell Biol. 22:3157–3173. 2002. View Article : Google Scholar : PubMed/NCBI | |
Esteller M: CpG island hypermethylation and tumor suppressor genes: A booming present, a brighter future. Oncogene. 21:5427–5440. 2002. View Article : Google Scholar : PubMed/NCBI | |
Jones PA and Baylin SB: The fundamental role of epigenetic events in cancer. Nat Rev Genet. 3:415–428. 2002. View Article : Google Scholar : PubMed/NCBI | |
Bird AP: CpG-rich islands and the function of DNA methylation. Nature. 321:209–213. 1986. View Article : Google Scholar : PubMed/NCBI | |
Bird A: The essentials of DNA methylation. Cell. 70:5–8. 1992. View Article : Google Scholar : PubMed/NCBI | |
Teodoridis JM, Strathdee G and Brown R: Epigenetic silencing mediated by CpG island methylation: Potential as a therapeutic target and as a biomarker. Drug Resist Updat. 7:267–278. 2004. View Article : Google Scholar : PubMed/NCBI | |
Zhao Z and Shilatifard A: Epigenetic modifications of histones in cancer. Genome Biol. 20:2452019. View Article : Google Scholar : PubMed/NCBI | |
Filipski K, Scherer M, Zeiner KN, Bucher A, Kleemann J, Jurmeister P, Hartung TI, Meissner M, Plate KH, Fenton TR, et al: DNA methylation-based prediction of response to immune checkpoint inhibition in metastatic melanoma. J Immunother Cancer. 9:e0022262021. View Article : Google Scholar : PubMed/NCBI | |
Lutsik P, Slawski M, Gasparoni G, Vedeneev N, Hein M and Walter J: MeDeCom: Discovery and quantification of latent components of heterogeneous methylomes. Genome Biol. 18:552017. View Article : Google Scholar : PubMed/NCBI | |
Perrier A, Didelot A, Laurent-Puig P, Blons H and Garinet S: Epigenetic mechanisms of resistance to immune checkpoint inhibitors. Biomolecules. 10:10612020. View Article : Google Scholar : PubMed/NCBI | |
Emran AA, Chatterjee A, Rodger EJ, Tiffen JC, Gallagher SJ, Eccles MR and Hersey P: Targeting DNA Methylation and EZH2 activity to overcome melanoma resistance to immunotherapy. Trends Immunol. 40:328–344. 2019. View Article : Google Scholar : PubMed/NCBI | |
Leonardi GC, Falzone L, Salemi R, Zanghì A, Spandidos DA, McCubrey JA, Candido S and Libra M: Cutaneous melanoma: From pathogenesis to therapy (Review). Int J Oncol. 52:1071–1080. 2018.PubMed/NCBI | |
Leonardi GC, Candido S, Falzone L, Spandidos DA and Libra M: Cutaneous melanoma and the immunotherapy revolution (Review). Int J Oncol. 57:609–618. 2020. View Article : Google Scholar : PubMed/NCBI | |
Balanathan P, Ball EM, Wang H, Harris SE, Shelling AN and Risbridger GP: Epigenetic regulation of inhibin alpha-subunit gene in prostate cancer cell lines. J Mol Endocrinol. 32:55–67. 2004. View Article : Google Scholar : PubMed/NCBI | |
Kim YI, Shim J, Kim BH, Lee SJ, Lee HK, Cho C and Cho BN: Transcriptional silencing of the inhibin-α gene in human gastric carcinoma cells. Int J Oncol. 41:690–700. 2012. View Article : Google Scholar : PubMed/NCBI | |
Kim YI, Park SW, Kwon HS, Yang HS, Cho SY, Kim YJ and Lee HJ: Inhibin-α gene mutations and mRNA levels in human lymphoid and myeloid leukemia cells. Int J Oncol. 50:1403–1412. 2017. View Article : Google Scholar : PubMed/NCBI | |
Barton DE, Yang-Feng TL, Mason AJ, Seeburg PH and Francke U: Mapping of genes for inhibin subunits alpha, beta A, and-beta B on human and mouse chromosomes and studies of jsd mice. Genomics. 5:91–99. 1989. View Article : Google Scholar : PubMed/NCBI | |
Watson RH, Roy WJ Jr, Aavis M, Hitchcock A and Campbell IG: Loss of heterozygosity at the alpha-inhibin locus on chromosome 2q is not a feature of human granulosa cell tumors. Gynecol Oncol. 65:387–390. 1997. View Article : Google Scholar : PubMed/NCBI | |
Schmitt JF, Millar DS, Pedersen JS, Clark SL, Venter DJ, Frydenberg M, Molloy PL and Risbridger GP: Hypermethylation of the inhibin alpha-subunit gene in prostate carcinoma. Mol Endocrinol. 16:213–220. 2002. View Article : Google Scholar : PubMed/NCBI | |
Sundblad V, Chiauzzi VA, Andreone L, Campo S, Charreau EH and Dain L: Controversial role of inhibin alpha-subunit gene in the aetiology of premature ovarian failure. Hum Reprod. 21:1154–1160. 2006. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods. 25:402–408. 2001. View Article : Google Scholar : PubMed/NCBI | |
Gu H, Smith ZD, Bock C, Boyle P, Gnirke A and Meissner A: Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling. Nat Protoc. 6:468–481. 2011. View Article : Google Scholar : PubMed/NCBI | |
Kulis M and Esteller M: DNA methylation and cancer. Adv Genet. 70:27–56. 2010. View Article : Google Scholar : PubMed/NCBI | |
Moarii M, Boeva V, Vert JP and Reyal F: Changes in correlation between promoter methylation and gene expression in cancer. BMC Genomics. 16:8732015. View Article : Google Scholar : PubMed/NCBI | |
Falzone L, Salemi R, Travali S, Scalisi A, McCubrey JA, Candido S and Libra M: MMP-9 overexpression is associated with intragenic hypermethylation of MMP9 gene in melanoma. Aging (Albany NY). 8:933–944. 2016. View Article : Google Scholar : PubMed/NCBI | |
Wouters J, Vizoso M, Martinez-Cardus A, Carmona FJ, Govaere O, Laguna T, Joseph J, Dynoodt P, Aura C, Foth M, et al: Comprehensive DNA methylation study identifies novel progression-related and prognostic markers for cutaneous melanoma. BMC Med. 15:1012017. View Article : Google Scholar : PubMed/NCBI | |
Micevic G, Theodosakis N and Bosenberg M: Aberrant DNA methylation in melanoma: Biomarker and therapeutic opportunities. Clin Epigenetics. 9:342017. View Article : Google Scholar : PubMed/NCBI | |
Kazanets A, Shorstova T, Hilmi K, Marques M and Witcher M: Epigenetic silencing of tumor suppressor genes: Paradigms, puzzles, and potential. Biochim Biophys Acta. 1865:275–288. 2016.PubMed/NCBI | |
Alers JC, Rochat J, Krijtenburg PJ, Hop WC, Kranse R, Rosenberg C, Tanke HJ, Schröder FH and van Dekken H: Identification of genetic markers for prostatic cancer progression. Lab Invest. 80:931–942. 2000. View Article : Google Scholar : PubMed/NCBI | |
Suarez BK, Lin J, Burmester JK, Broman KW, Weber JL, Banerjee TK, Goddard KA, Witte JS, Elston RC and Catalona WJ: A genome screen of multiplex sibships with prostate cancer. Am J Hum Genet. 66:933–944. 2000. View Article : Google Scholar : PubMed/NCBI | |
Longui CA, Lemos-Marini SH, Figueiredo B, Mendonca BB, Castro M, Liberatore R Jr, Watanabe C, Lancellotti CL, Rocha MN, Melo MB, et al: Inhibin alpha-subunit (INHA) gene and locus changes in paediatric adrenocortical tumours from TP53 R337H mutation heterozygote carriers. J Med Genet. 41:354–359. 2004. View Article : Google Scholar : PubMed/NCBI | |
Ransom DT, Barnett TC, Bot J, de Boer B, Metcalf C, Davidson JA and Turbett GR: Loss of heterozygosity on chromosome 2q: Possibly a poor prognostic factor in head and neck cancer. Head Neck. 20:404–410. 1998. View Article : Google Scholar : PubMed/NCBI | |
Zhao J, Richter J, Wagner U, Roth B, Schraml P, Zellweger T, Ackermann D, Schmid U, Moch H, Mihatsch MJ, et al: Chromosomal imbalances in noninvasive papillary bladder neoplasms (pTa). Cancer Res. 59:4658–4661. 1999.PubMed/NCBI | |
Valdez BC, Li Y, Murray D, Corn P, Champlin RE and Andersson BS: 5-Aza-2′-deoxycytidine sensitizes busulfan-resistant myeloid leukemia cells by regulating expression of genes involved in cell cycle checkpoint and apoptosis. Leuk Res. 34:364–372. 2010. View Article : Google Scholar : PubMed/NCBI | |
Sanaei M, Kavoosi F and Ghasemi A: Investigation of the effect of 5-Aza-2′-deoxycytidine on p15INK4, p16INK4, p18INK4, and p19INK4 genes expression, cell growth inhibition, and apoptosis induction in hepatocellular carcinoma PLC/PRF/5 Cell Line. Adv Biomed Res. 9:332020. View Article : Google Scholar : PubMed/NCBI | |
Rosenfeldt H, Vazquez-Prado J and Gutkind JS: P-REX2, a novel PI-3-kinase sensitive Rac exchange factor. FEBS Lett. 572:167–171. 2004. View Article : Google Scholar : PubMed/NCBI | |
Pandiella A and Montero JC: Molecular pathways: P-Rex in cancer. Clin Cancer Res. 19:4564–4569. 2013. View Article : Google Scholar : PubMed/NCBI | |
Yang J, Gong X, Ouyang L, He W, Xiao R and Tan L: PREX2 promotes the proliferation, invasion and migration of pancreatic cancer cells by modulating the PI3K signaling pathway. Oncol Lett. 12:1139–1143. 2016. View Article : Google Scholar : PubMed/NCBI | |
Yang ZF, Yi JL, Li XR, Xie DX, Liao XF and Ma X: PTEN induces apoptosis and up-regulates p53 expression in HepG2 cells. Zhonghua Gan Zang Bing Za Zhi. 12:745–748. 2004.(In Chinese). PubMed/NCBI | |
Wu J, Gao H, Ge W and He J: Over expression of PTEN induces apoptosis and prevents cell proliferation in breast cancer cells. Acta Biochim Pol. 67:515–519. 2020.PubMed/NCBI | |
Liu Y, Cao Y, Sun S, Zhu J, Gao S, Pang J, Zhu D and Sun Z: Transforming growth factor-beta1 upregulation triggers pulmonary artery smooth muscle cell proliferation and apoptosis imbalance in rats with hypoxic pulmonary hypertension via the PTEN/AKT pathways. Int J Biochem Cell Biol. 77:141–154. 2016. View Article : Google Scholar : PubMed/NCBI | |
Liu Y, Yan J, Sun C, Li G, Li S, Zhang L, Di C, Gan L, Wang Y, Zhou R, et al: Ameliorating mitochondrial dysfunction restores carbon ion-induced cognitive deficits via co-activation of NRF2 and PINK1 signaling pathway. Redox Biol. 17:143–157. 2018. View Article : Google Scholar : PubMed/NCBI | |
He S, Lin J, Yu S and Sun S: Upregulation of PREX2 promotes the proliferation and migration of hepatocellular carcinoma cells via PTEN-AKT signaling. Oncol Lett. 11:2223–2228. 2016. View Article : Google Scholar : PubMed/NCBI | |
Mense SM, Barrows D, Hodakoski C, Steinbach N, Schoenfeld D, Su W, Hopkins BD, Su T, Fine B, Hibshoosh H and Parsons R: PTEN inhibits PREX2-catalyzed activation of RAC1 to restrain tumor cell invasion. Sci Signal. 8:ra322015. View Article : Google Scholar : PubMed/NCBI | |
Feng J, Dang Y, Zhang W, Zhao X, Zhang C, Hou Z, Jin Y, McNutt MA, Marks AR and Yin Y: PTEN arginine methylation by PRMT6 suppresses PI3K-AKT signaling and modulates pre-mRNA splicing. Proc Natl Acad Sci USA. 116:6868–6877. 2019. View Article : Google Scholar : PubMed/NCBI | |
Sasaki Y, Niu C, Makino R, Kudo C, Sun C, Watanabe H, Matsunaga J, Takahashi K, Tagami H, Aiba S and Horii A: BRAF point mutations in primary melanoma show different prevalences by subtype. J Invest Dermatol. 123:177–183. 2004. View Article : Google Scholar : PubMed/NCBI | |
Aronchik I, Kundu A, Quirit JG and Firestone GL: The antiproliferative response of indole-3-carbinol in human melanoma cells is triggered by an interaction with NEDD4-1 and disruption of wild-type PTEN degradation. Mol Cancer Res. 12:1621–1634. 2014. View Article : Google Scholar : PubMed/NCBI | |
Pap M, Bátor J and Szeberényi J: Sensitivity of human malignant melanoma cell lines to newcastle disease virus. Anticancer Res. 35:5401–5406. 2015.PubMed/NCBI | |
Yamashita T, Tokino T, Tonoki H, Moriuchi T, Jin HY, Omori F and Jimbow K: Induction of apoptosis in melanoma cell lines by p53 and its related proteins. J Invest Dermatol. 117:914–919. 2001. View Article : Google Scholar : PubMed/NCBI |