Epigenetic and Glucocorticoid Receptor-Mediated Regulation of Glutathione Peroxidase 3 in Lung Cancer Cells.

Glutathione peroxidase 3 (GPx3), an antioxidant enzyme, acts as a modulator of redox signaling, has immunomodulatory function, and catalyzes the detoxification of reactive oxygen species (ROS). GPx3 has been identified as a tumor suppressor in many cancers. Although hyper-methylation of the GPx3 promoter has been shown to down-regulate its expression, other mechanisms by which GPx3 expression is regulated have not been reported. The aim of this study was to further elucidate the mechanisms of GPx3 regulation. GPx3 gene analysis predicted the presence of ten glucocorticoid response elements (GREs) on the GPx3 gene. This result prompted us to investigate whether GPx3 expression is regulated by the glucocorticoid receptor (GR), which is implicated in tumor response to chemotherapy. The corticosteroid dexamethasone (Dex) was used to examine the possible relationship between GR and GPx3 expression. Dex significantly induced GPx3 expression in H1299, H1650, and H1975 cell lines, which exhibit low levels of GPx3 expression under normal conditions. The results of EMSA and ChIP-PCR suggest that GR binds directly to GRE 6 and 7, both of which are located near the GPx3 promoter. Assessment of GPx3 transcription efficiency using a luciferase reporter system showed that blocking formation of the GR-GRE complexes reduced luciferase activity by 7-8-fold. Suppression of GR expression by siRNA transfection also induced down-regulation of GPx3. These data indicate that GPx3 expression can be regulated independently via epigenetic or GR-mediated mechanisms in lung cancer cells, and suggest that GPx3 could potentiate glucocorticoid (GC)-mediated anti-inflammatory signaling in lung cancer cells.

INTRODUCTION

Lung cancer is a malignant lung tumor characterized by uncontrolled cell growth in tissues of the lung. If not treated, lung cancer metastasizes beyond the lung into nearby tissue or other parts of the body. This consequence is the leading cause of cancer-related deaths. To improve the survival rate in patients with lung cancer, many studies have sought to identify reliable biological markers of lung cancer (Oh et al., 2014). Recent reports indicate that glutathione peroxidase 3 (GPx3) could be a useful biomarker for lung cancer, because GPx3 expression is specifically related to lung cancer (Oh et al., 2014). Furthermore, GPx3 has received considerable attention as a tumor suppressor in various cancers during recent years (Barrett et al., 2013; Liu et al., 2015; Qi et al., 2014; Zhang et al., 2010).

GPx3 is the only extracellular secretion-type GPx whose enzymatic function is the detoxification of hydrogen peroxide (H2O2) to protect cells from oxidative damage (Chung et al., 2009). A recent study demonstrated that GPx3 is an effective inhibitor of tumor promotion and progression (Barrett et al., 2013). Moreover, hyper-methylation of the CpG islands in the GPx3 promoter specifically down-regulates its transcription efficiency in many types of mammalian cancer (Chen et al., 2011; He et al., 2011; Mohamed et al., 2014; Peng et al., 2012). In lung cancer cell lines, however, the epigenetic regulation of GPx3 has not been widely described. The present study examined the epigenetic regulation of GPx3 expression using methylation-specific PCR (MSP) and the Illumina Infinium HumanMethylation450 BeadChip array.

Aside from epigenetic regulation, no other mechanisms for the regulation of GPx3 expression have been reported. The core promoter of the GPx3 gene has been determined (Bierl et al., 2004); however, this analysis did not identify the glucocorticoid receptor (GR) as a transcription factor important for the regulation of GPx3 gene expression. However, when we analyzed the GPx3 gene using the Champion ChiP Transcription Factor Search Portal (Qiagen), we identified ten glucocorticoid response elements (GREs): five of GRE sites locate far away from the gene, but the other five locate within the gene (Supplementary Fig. S1). GRE 6 and 7 are of particular interest, as they are located in the downstream regulatory region while the other GREs are located more than 5 kb (up- or downstream) from the transcription start site (TSS). Glucocorticoids (GCs) can manipulate GR expression and signaling in cells. Moreover, GCs are essential for survival and are involved in a variety of physiological processes, including regulation of metabolism, immunity, and apoptosis (McKay and Cidlowski, 1999). Because of their potent pro-apoptotic and anti-inflammatory properties and capability to reduce nausea and acute toxicity in normal tissues, GCs have been widely used as components of chemotherapy regimens for treatment of leukemias, lymphomas, and myelomas (Kim et al., 2004). Although GPx3 was not identified in profiling of primary GR target genes by chromatin immunoprecipitation (ChIP) (Polman et al., 2012; Wang et al., 2004), we decided to further investigate the role of GCs in the regulation of GPx3 expression because the activated GC-GR complex up-regulates the expression of anti-inflammatory proteins in the nucleus (Ingawale et al., 2015), and because GPx3 is a strong tumor suppressor in many types of cancers. Our findings demonstrate that GR can increase GPx3 expression in lung cancer, suggesting that the GPx3 promoter might be a direct target of GC-mediated signaling in tumor cells. Furthermore, these results suggest that GPx3 expression can be regulated by epigenetic or GR-mediated mechanisms in lung cancer cells.

MATERIALS AND METHODS

Reagents and antibodies

Human recombinant GR was purchased from Calbiochem (USA). GPx3, GR, and actin antibodies were purchased from Santa Cruz Biotechnology (USA). Anti-mouse antibody conjugated to horseradish peroxidase was obtained from Santa Cruz Biotechnology. For drug treatment, cell lines were treated with 10 μM 5-aza-2′-deoxycytidine (5-Aza-CdR) (Sigma, USA) and 100 nM dexamethasone (Dex) (Sigma). Control cells were incubated with DMSO in culture medium.

Cell culture

H157, H460, A549, H1299, H1650, and H1975 lung cancer cell lines (ATCC, USA) were cultured in appropriate media (RPMI 1640) (Gibco, USA) with 10% fetal bovine serum (FBS) (Gibco) supplemented with 2 mM L-glutamine, 100 U/ml penicillin, and 100 U/ml streptomycin (Invitrogen, USA) at 37°C in a 5% CO2 incubator (Hayano et al., 2013).

MSP

Genomic DNA was prepared from the six lung cancer cell lines using the QIAamp® DNA Mini Kit (Qiagen, USA). Extracted gDNA was bisulfate-modified using the MethylEasy™ Xceed kit (Human Genetic Signatures, Australia), as described previously (Do et al., 2014; Drini et al., 2011). Briefly, all unmethylated cytosines were deaminated and converted to uracils, whereas 5-methylcytosines remained unaltered. Modified DNA was used as a template for MSP, which was carried out using primers specific for either methylated or modified–unmethylated sequences. Control sample 1, consisting of universal unmethylated DNA (Human Genetic Signatures), was processed by the same procedures as the lung cancer cell gDNAs, whereas control sample 2, consisting of universal methylated DNA (Human Genetic Signatures), was used as a positive control. MSP-specific primers (forward, +18 to +39/reverse, +209 to +236; Table 1; Lee et al., 2005) were used to examine whether methylation of the GPx3 promoter CpG region affects GPx3 expression. For PCR, 2 μl of bisulfite-modified DNA and 20 pmol of each primer were amplified in a total volume of 20 μl using AmpONE™ Taq premix (GeneAll, Korea). PCR conditions were 95°C for 10 min, 38 cycles of 95°C for 1 min, annealing at 62°C (unmethylated) or 66°C (methylated) for 1 min and 72°C for 1 min, followed by a final extension step at 72°C for 10 min.

Table 1.

Primers of this study

Name	Sequences (5′ to 3′)
GPx3 promoter-F	GAGCTCCTATTCTCAAAGGACTCCTGGT	Cloning
GPx3 promoter-R	AAGCTTTTCCAATGGGCTTCCTGAG
GRE6 mutation-F	AAAA ATCCACAAGC CAGTCTCTGA AATTT	Mutagenesis
GRE6 mutation-R	AAATT TCAGAGACTG GCTTGTGGAT TTTT
GRE7 mutation-F	TA CC CAGGACCCAC TATAATCATT A
GRE7 mutation -R	T AATGATTATA GTGGGTCCTG GG TA
GRE6	TCACTACCCAGGACCCACTGTCCTCATTAGCCTG	EMSA
GRE7	AATCCACAAGCTGTTCTCTGAAATTTCCTCC
GRE6 (3′-biotin)	TCACTACCCAGGACCCACTGTCCTCATTAGCCTG-biotin
GRE7 (3′-biotin)	AATCCACAAGCTGTTCTCTGAAATTTCCTCC-biotin
GPx3-F	TGGTCATTCTGGGCTTTCCC	RT-PCR
GPx3-R	CCAGAAGAGGCGGTCAGATG
GR-F	TGTTTTGCTCCTGATCTGA
GR-R	TCGGGGAATTCAATACTCA
GAPDH-F	AGGTGAAGGTCGGAGTCA
GAPDH-R	ATACGACTGCAAAGACCC
Actin-F	GGACTTCGAGCAAGAGATGG
Actin-R	AGCACTGTGTTGGCGTCAAG
GPH1010877(+)02A	QIAGEN NOT OPEN

Underlined sequences in the cloning primers indicate restriction enzyme sites, and the underlined sequences in the mutagenesis primers indicate point mutation sequences.

DNA methylation arrays

Samples were bisulfite-converted using the EZ DNA Methylation Kit (Zymo Research, USA) according to the manufacturer’s protocol. Controls on the array were used to track the bisulfite conversion efficiency. The Infinium HumanMethylation450 BeadChip array (Illumina Inc., USA) was used to measure genome-wide CpG methylation using beads with target-specific probes designed to interrogate individual CpG sites on bisulfite-converted genomic DNA (Bibikova et al., 2011). Measurements were run using DNA samples aliquoted into seven 96-well plates. All plates also contained Illumina controls and two negative controls. Data processing and analysis were performed according to standard protocols (Illumina Inc.). DNA methylation analysis of lung cancer cells (H460 and H1299) was performed by Macrogen (Korea).

Construction of plasmids

A GPx3 promoter fragment spanning the −881/+1546 region was amplified by PCR from lung cancer cell genomic DNA using the following primers: −881 (), 5′-gagctcctattctcaaaggactcctggt-3′; +1546 (), 5′-aagcttttccaatgggcttcctgag-3′. The amplified GPx3 promoter fragment was digested with SacI/HindIII and cloned into the pNL1.1 vector at the SacI/HindIII site (Promega, USA) downstream of the nanoluciferase reporter gene. The construct was transformed into Escherichia coli DH5α cells for amplification. All restriction enzymes were purchased from New England BioLabs (NEB, Ipswich, USA). For PCR, 2 μl of cDNA and 20 pmol of each primer were amplified in a total volume of 20 μl using AmpONE ™ Taq premix (GeneAll). PCR conditions were 95°C for 10 min, 38 cycles of 95°C for 1 min, annealing at 58°C for 1 min and 72°C for 1 min, followed by a final extension step at 72°C for 10 min (Voetsch et al., 2007).

Reporter assays

Lung cancer cells were transfected with 200 ng of nanoluciferase reporter construct (pNL1.1::GPx3 promoter) and 200 ng of firefly luciferase construct encoded by the pGL 4.54 plasmid using Lipofectamine 3000 (Invitrogen). After 2 days of transfection, cells were analyzed using the Nano-Glo Luciferase Assay according to the manufacturer’s instructions (Promega) and the Infinite PRO 2000 multimode reader (Tecan, Germany). Measured luciferase values were normalized to the internal firefly luciferase control (Voetsch et al., 2007; Ying et al., 2013).

Reverse transcription polymerase chain reaction (RT-PCR)

Total RNA (1 μg) from lung cancer cells was reverse transcribed to complementary DNA (cDNA) using Hyperscript™ RT premix (with oligo dT) (GeneAll) in a final volume of 20 μl. This mixture was incubated for 1 h at 55°C and then heated for 10 min at 95°C to inactivate the reverse transcriptase. The resulting cDNAs were used for PCR amplification of the following specific targets: GPx3, GR, and the housekeeping genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and actin. Primers were designed using Primer3 so that any genomic DNA product could be distinguished from the target cDNA based on size difference (Table 1). For PCR, 2 μl of cDNA and 20 pmol of each primer were amplified in a total volume of 20 μl using AmpONE™ Taq premix (GeneAll). PCR conditions were 95°C for 10 min, 37 cycles of 95°C for 1 min, annealing at 58°C for 1 min and 72°C for 1 min, followed by a final extension step at 72°C for 10 min.

Site-directed mutagenesis of GREs by PCR

Double mutations in GRE6 and GRE7 of the GPx3 promoter were generated by PCR-mediated site-directed mutagenesis. For single mutation of GRE6, the complementary primers contained a triple-base mismatch in GRE6 that converts TGT to CAG using the pNL1.1::GPx3 promoter-GRE (WT) as the template. For double mutations of GRE6 and GRE7, the complementary primers contained a triple-base mismatch in GRE7 that converts GTCC to ATAA using the pNL1.1::GPx3 promoter-GRE6 mutant as the template. Briefly, specific PCR was carried out in 20 μl mixtures containing 10 ng of plasmid DNA and 20 pmol of each primer using AmpONE™ Taq premix (GeneAll). PCR conditions were 95°C for 10 min, 30 cycles of 95°C for 1 min, annealing at 45°C for 1 min and 72°C for 5 min, followed by a final extension step at 72°C for 10 min. The PCR products of the single and double mutations were collected and purified, treated with DpnI (Enzynomics, Korea) to remove the original DNA, and then transformed into DH5α cells. The single and double mutations were confirmed by nucleotide sequencing after plasmid isolation (An et al., 2011; 2015).

Gel mobility shift assays

DNA-protein binding was assayed by gel mobility shift EMSA as described previously (Lassar et al., 1991). Binding was carried out using 3′-biotinylated DNA fragments [GRE6 (34 bp) and GRE7 (31 bp)] from the GREs of the GPx3 promoter (GRE6: +1038 to +1054 and GRE7: +1087 to +1105) as probes. Typically, binding reactions were run in 20 μl volumes and contained 0.1 ng of 3′-biotinylated DNA fragments (GRE6 and GRE7), 1 μg of recombinant GR protein, 1 nmol of Dex diluted in a zinc-containing buffer (10 mM Tris, pH 7.6, 40 mM NaCl, 15 mM ZnCl2), and 1 mg of poly (dI-dC) under the conditions described previously (Lassar et al., 1991). DNA-protein complexes were resolved on 5% non-denaturing polyacrylamide gels in 0.25× TBE (1× TBE: 89 mM Tris base, 89 mM boric acid, and 2 mM EDTA, pH 8.0). DNA-protein complexes were transferred onto a membrane and then fixed by UV crosslinking for 1 minute. The membrane was incubated in blocking buffer and then with streptavidin-HRP monoclonal antibody (Santa Cruz Biotechnology) for 1 h each. The results were visualized with Hyperfilm ECL.

ChIP

ChIP experiments were performed as described previously (Weber et al., 2007). In brief, crosslinked chromatin was sonicated to achieve an average fragment size of 500 bp. Starting with 100 mg of chromatin and 5 mg of anti-GR antibody (sc-56851; Santa Cruz Biotechnology), 1 ml of ChIP material and 1 ml of input material were used for reverse transcription polymerase chain reaction (RT-PCR) with specific primers [GPH1010877(+)02A; Qiagen] covering the GPx3 promoter region. Primers specific to GAPDH were used as a negative control, because GAPDH does not possess a GR-binding site.

Western blot analysis

Following the indicated treatments, cells were washed in phosphate-buffered saline (PBS) and lysed in ice-cold RIPA buffer (20 mM Tris, pH 7.5, 150 mM NaCl, 1 mM EDTA, 0.5% sodium deoxycholate, 1% IGEPAL CA-630, and 0.1% sodium dodecyl sulfate) supplemented with protease inhibitor cocktail (Sigma). The cell extracts were cleared by centrifugation at 13,000 rpm for 30 min at 4°C, and the protein concentration was quantified using a BCA Bio-Rad protein assay kit (Bio-Rad, USA). The cell lysates were resolved on 4% to 20% Tris-glycine Ready gels (Bio-Rad) and transferred onto PVDF membranes. Subsequently, the membranes were blocked with 5% nonfat dry milk in Tris-buffered saline (20 mM Tris base, pH 7.5, and 150 mM NaCl) containing 0.05% Tween 20 (TBS-T) and then probed with primary antibodies (GPx3, GR, and actin) diluted in 1% nonfat milk in TBS-T. After incubation with primary antibody in TBS-T, the membranes were incubated with the appropriate horseradish peroxidase-conjugated secondary antibodies (Santa Cruz Biotechnology), and the blots were visualized by chemiluminescence (GE Healthcare, USA) (Barrett et al., 2013; Kay et al., 2011).

RESULTS

GPx3 expression is suppressed by an epigenetic mechanism in lung cancer cells

Suppression of GPx3 expression via an epigenetic mechanism has been reported in many types of human cancer and is proposed to play an important role in tumorigenesis (Lee et al., 2005; Liu et al., 2015; Mohamed et al., 2014; Peng et al., 2012; Yao et al., 2015; Zhang et al., 2010). Therefore, it was of interest to examine whether altered GPx3 expression was a common occurrence in lung cancer cell lines. GPx3 expression was investigated using RT-PCR in six cell lines: H157, H460, A549, H1299, H650, and H1975. We detected comparably high expression levels of GPx3 mRNA in the H157, H460, and A549 lines, whereas the lines H1299, H1650, and H1975 exhibited low levels of GPx3 expression (Fig. 1A). GR mRNA was abundantly expressed and expression patterns were similar in all lines (Fig. 1A). Based on these results, the lung cancer cell lines were divided into two groups depending on whether they expressed high or low levels of GPx3 mRNA (Fig. 1A). We hypothesized that the different levels of GPx3 expression might be the result of alternative methylation of the GPx3 promoter (He et al., 2011; Mohamed et al., 2014; Peng et al., 2012). To determine whether methylation was affecting GPx3 expression, we treated the cells with 5-Aza-CdR, a well-known methyltransferase inhibitor. Following treatment, the expression levels of GPx3 significantly increased in the low GPx3 expression level group, while 5-Aza-CdR had little effect on GPx3 expression in the high GPx3 expression level group (Fig. 1B). The expression pattern of GR mRNA was not affected by 5-Aza-CdR treatment (Fig. 1B). This result agreed with the results reported by Kay et al. (2011) demonstrating that some cells, including A549 cells, are insensitive to de-methylation by 5-Aza-CdR treatment because these cells showed rare methylation efficiency on CpG islands of the GR promoter. To assess methylation of the GPx3 promoter in these cells, we employed MSP and Infinium HumanMethylation450 BeadChip array. MSP revealed different GPx3 promoter methylation patterns associated with GPx3 expression in each lung cancer cell line. MSP of cells in the low GPx3 expression group revealed hyper-methylation of the GPx3 promoter, whereas cells in the high GPx3 expression group exhibited low levels of methylation (Fig. 2). To identify the methylated sites on the GPx3 promoter, we performed ChIP using the Illumina Infinium HumanMethylation450 BeadChip array, which contains 16 of the methylation sites on the GPx3 gene. We compared the methylation pattern between H460 and H1299 cell lines which represent a high and a low GPx3 expression group, respectively (Table 2). The results showed that six methylation sites located on the CpG island of the GPx3 promoter were hyper-methylated. These results indicate that promoter methylation plays an essential role in the downregulation of GPx3 expression.

Fig. 1.

Methylation of the GPx3 promoter suppresses its expression in lung cancer cells. GPx3, GR, and actin mRNA expression levels were analyzed by RT-PCR in the H157, H460, A549, H1299, H1650, and H1975 lung cancer cell lines. Actin was used as an internal control for normalization. (A) Lung cancer cells treated with DMSO. (B) Lung cancer cells treated with 5-Aza-CdR (10 μM) for 24 h.

Fig. 2.

GPx3 is down-regulated by hyper-methylation of its promoter CpG in lung cancer cells. Methylation-specific PCR of the GPx3 gene in lung cancer cells. In the gel panels on the left, levels of unmethylated DNA were higher in cells with high levels of GPx3 expression under normal conditions (H157, H460, A549), whereas methylated DNA was only weakly detected. In the panels on the right, cells with low levels of GPx3 expression under normal conditions exhibited low levels of unmethylated DNA and higher levels of methylated DNA.

Table 2.

Methylation analysis of the GPx3 CpG island using the Illumina Infinium HumanMethylation450 BeadChip array

Probe ID	H1299-H460 (delta_mean)	H1299-H460 (>0.2)	Map Information
cg04201367	−0.012540408	151028823
cg08891071	0.53373774	hyper	151020348
* cg10802379	0.411667333	hyper	151020834
cg11109721	0.002466637		151028344
cg12684668	0.014101828		151023905
cg13081720	0.7993864	hyper	151020329
cg16627309	−0.013691176		151019782
cg17261508	0.345409464	hyper	151019973
* cg17820459	0.49086509	hyper	151020970
cg18849169	0.261546521	hyper	151020220
* cg21504918	0.456547762	hyper	151020440
* cg21516478	0.561578642	hyper	151020767
cg21536925	−0.043050576		151019861
cg22005145	0.042117262		151019582
* cg26638444	0.505308151	hyper	151020619
* cg26891370	0.287892398	hyper	151021111

The Illumina 450K probes in the CpG island of the GPx3 promoter are designated by an asterisk.

GPx3 expression is up-regulated by Dex treatment in lung cancer cells

GCs are one of the steroid hormones that function to maintain homeostasis. The effects of GCs are mediated by ubiquitously expressed GR. The GR is an intracellular ligand-activated transcription factor and member of the nuclear receptor superfamily. The GR is expressed in almost every cell in the body and regulates genes controlling development, metabolism, and the immune response (Taylor et al., 2016). When the GR proteins bind to the GCs, a complex is formed whose primary mechanism of action is the regulation of gene transcription. The activated GC-GR complexes can up- or down-regulate the expression of many genes in the nucleus (Kino et al., 2003; Reddy et al., 2009). However, Dex treatment can repress the expression of mature GR mRNA by 50% to 80% in different tissues in humans, mice, and rats (Ramamoorthy and Cidlowski, 2013). In the present study, the putative GREs of the GPx3 gene were mapped using the Champion ChiP Transcription Factor Search Portal (Qiagen), which identified ten GREs spread across the GPx3 gene (Supplementary Fig. S1). To determine the role of GRs in mediating GPx3 expression, Dex was used to examine the possible relationship between GR and GPx3 expression. Dex treatment of the lung cancer cell lines showed that GPx3 expression levels significantly increased in the low GPx3 expression level group, while the high GPx3 expression level group was not affected and GR expression was slightly decreased (Fig. 3B). In agreement with this finding, a reduction in GR mRNA expression by Dex treatment in lung cancer was reported previously (Ramamoorthy and Cidlowski, 2013). Time course analysis showed that Dex strongly induced GPx3 expression within 8–16 h in lung cancer cells (Fig. 3C).

Fig. 3.

GPx3 is up-regulated by Dex treatment in lung cancer cells. GPx3, GR, and actin mRNA expression levels were analyzed by RT-PCR in the H157, H460, A549, H1299, H1650, and H1975 lung cancer cell lines. Actin was used as an internal control for normalization. (A) Lung cancer cells treated with DMSO. (B) Lung cancer cells treated with Dex (100 nM) for 24 h. (C) To examine the time course of the effect of Dex, GPx3 expression was assessed in H1299 and H1975 at the indicated time points after treatment.

Recombinant hGR protein binds specifically to GREs of the GPx3 promoter

Binding of recombinant hGR protein to GREs in the GPx3 promoter was studied by EMSA using 3′-biotinylated GRE6 (34 bp: sequence +2194 to +2329) or 3′-biotinylated GRE7 (31 bp: +2233 to +2298) DNA probes. As shown in Supplementary Fig. S2, both the GRE6 and GRE7 DNA probes shifted significantly in the presence of Dex due to the formation of a complex between the GREs and hGR protein. The ChIP-PCR revealed that the GR protein bound specifically to the GREs of the GPx3 promoter region in lung cancer cells (Fig. 4). To verify the specificity of the GR-GRE complex on the GPx3 promoter region, we employed primer pairs [Qiagen; GPH1010877(+)02A; Table 1] specific for the GPx3 promoter region (1 kb). A primer pair for GAPDH was used as a negative control, as this gene does not contain a GRE. In addition, a GPx3 exon-specific primer pair was used as a second negative control. Together, these results indicate that GR binds specifically to GREs in the GPx3 promoter in lung cancer cells.

Fig. 4.

hGR protein binds specifically to GREs on the GPx3 promoter in lung cancer cells. ChIP was performed using A549 cells. ChIP-PCR was then performed using a primer pair [GPH1010877(+)02A] specific for GRE6 and GRE7 in intron 1 of the GPx3 gene. As negative controls, primers for GAPDH, which does not possess a GRE, and an exon-specific GPx3 primer pair were used.

Enhanced transcription of GPx3 is associated with GR binding

The functional importance of the GREs was then tested by mutational analysis. Mutations targeted to GR-binding motifs on both GRE6 and GRE7 are described in Table 2. The promoter activities of the wild-type GRE (WT) and double-mutated GRE (MT) constructs were tested in lung cancer cells. Interestingly, Dex-induced transcription of the GPx3 gene was accompanied by decreased transcription of GR mRNA, as assessed by RT-PCR (Fig. 3B). The GR-mediated increase in GPx3 expression shown in Fig. 3 was then confirmed by a cell-based luciferase reporter assay, which showed that the double mutation of GRE6 and GRE7 led to significantly reduced GR-mediated transactivation of the GPx3 promoter (Fig. 5). The GRE (WT) construct exhibited approximately 7–8-fold higher luciferase activity than the GRE (MT) construct (Fig. 5). Together, the EMSA, ChIP, and luciferase reporter assay results suggest that the GR binds specifically to GREs in the GPx3 promoter, leading to induction of GPx3 expression.

Fig. 5.

Functional analysis of GR and GREs in lung cancer cells. The effect of dual mutation of GRE6 and GRE7 on the GPx3 promoter was determined using a luciferase reporter system in lung cancer cells. A reporter plasmid with nano luciferase [pNL1.1::GPx3 promoter-GRE (WT) or (MT)] and a control plasmid with firefly luciferase (pGL4.54) were co-transfected into lung cancer cells. Nano luminescence was determined and normalized to the firefly luciferase signal. The fold-inductions were then calculated by normalization to the pNL1.1 control.

Silencing of GR reduces GPx3 expression in lung cancer cells

To confirm this conclusion, we also performed transient siRNA transfection to specifically suppress GR expression. In both groups of lung cancer cells, especially the A549 and in H1975 lines, transfection of siRNA against GR resulted in decreased GR expression and decreased transcription of the GPx3 gene as assessed by RT-PCR and Western blot (Fig. 6).

Fig. 6.

Suppression of GR mRNA reduces GPx3 expression levels in lung cancer cells. Effect of GR knockdown on GPx3 expression in lung cancer cells. (A) A549 and H1975 cells were transfected with siRNA against GR or a control siRNA, and expression of GPx3 was evaluated 48 h later by RT-PCR. As shown, the levels of GPx3 were significantly decreased in the presence of GR siRNA, but not in the presence of control siRNA. (B) Western blot analysis of total cell lysates of A549 and H1975 cells transfected with GR siRNA. As shown, transfection with GR siRNA decreased the levels of GPx3 expression in lung cancer cells.

DISCUSSION

GPx3 is the only extracellular glutathione peroxidase to play a critical role in detoxifying ROS and protecting DNA from damage caused by ROS in mammalian cells (Cheng et al., 1992). ROS can induce DNA mutations that are most frequently observed in proto-oncogenes and tumor suppressor genes (Hussain and Harris, 1998). The increased production of ROS accompanying inflammation may also contribute to malignancy (Barrett et al., 2013). Recent studies suggest that GPx3 acts as a potent tumor suppressor (Barrett et al., 2013; Qi et al., 2014; Wang et al., 2012; Yu et al., 2007). Barrett et al. (2013) demonstrated that GPx3 acts as a tumor suppressor during inflammatory carcinogenesis in cancer cells via detoxification of ROS, thus preventing DNA damage that leads to tumor initiation.

Many studies have reported silencing of GPx3 caused by hyper-methylation of the promoter in human prostate cancer, breast cancer, lung cancer, ovarian clear cell adenocarcinoma, gastric carcinoma, and Barrett’s disease (Jee et al., 2009; Lee et al., 2005; Lodygin et al., 2005; Saga et al., 2008; Yu et al., 2007; Zhang et al., 2010). Methylation of the GPx3 promoter significantly reduced its transcription activity, and the methylation frequency and the methylated sites on the promoter showed wide diversity depending on the type of cancer (He et al., 2011; Mohamed et al., 2014; Peng et al., 2012). In the current study, we verified the epigenetic regulation of GPx3 in lung cancer cells with low levels of GPx3 expression by showing that the GPx3 promoters in these cells exhibited high methylation frequency.

Despite the growing interest in GPx3 as a molecule functionally involved in tumor suppression, information about GPx3 gene regulation other than the epigenetic control remains limited. Here, we demonstrated for the first time that GR-mediated up-regulation of GPx3 is independent of the epigenetic regulation of GPx3 in lung cancer cells.

Leggas et al. (2009) demonstrated that Dex pre-treatment decreases hematopoietic toxicity and improves the efficacy of the chemotherapeutic regimen in patients with metastatic non-small cell lung cancer. In addition, GCs have been widely used as components of chemotherapeutic regimens for the treatment of leukemias, lymphomas, and myelomas due to their potent pro-apoptotic and anti-inflammatory properties and ability to reduce nausea and acute toxicity in normal tissues (Tothova et al., 2011). Dex treatment also suppresses non-small cell lung cancer proliferation and cell cycle progression through inhibition of the ERK/MAPK pathway (Greenberg et al., 2002). Our results showed that the specific binding of GR protein and GREs (GRE6 and GRE7) was verified, and that GPx3 expression is significantly induced by GC-GR complex activity. In addition, it is suggested that GR-mediated up-regulation of GPx3 is independent of the epigenetic regulation of GPx3.

In conclusion, our demonstration that GR mediates upregulation of the GPx3 gene in lung cancer cells provides important insights into cancer biology. GPx3 is well known to act as an antioxidant and tumor suppressor in cancer cells (Barrett et al., 2013; Chung et al., 2009; Liu et al., 2015; Qi et al., 2014; Zhang et al., 2010). Considering this, we postulate that the effects of GCs on cancer response to chemotherapy are accomplished at least partially via GR-mediated expression of GPx3. This finding could provide useful information for developing anti-cancer therapies designed to enhance GPx3 expression by GC.