Effect and mechanism of peroxisome proliferator-activated receptor-γ on the drug resistance of the U-87 MG/CDDP human malignant glioma cell line
- Authors:
- Published online on: April 16, 2015 https://doi.org/10.3892/mmr.2015.3625
- Pages: 2239-2246
Abstract
Introduction
Brain tumors grow in a limited space of the cranial cavity and easily cause damage to the central nervous system. These types of tumor frequently incur high risks and are life threatening. Based on the statistics, primary brain tumors account for ~1% of all types of tumor, 2.4% of tumor-associated mortality and 20–25% of pediatric tumors (1). Glioma is the most common primary brain tumor, accounting for ~50% of primary brain tumors and up to 80% of malignant brain tumors (2).
The progress made in understanding glioma has been in three predominant aspects, including molecular etiology and pathology, diagnosis and treatment techniques, and treatment concepts. In the ‘Chinese Guideline for the Diagnosis and Treatment of Glioma in the Central Nervous System’ issued by the Oncology Group of the Neurosurgery Branch of Chinese Medical Association in 2012 (3), the treatment of glioma was suggested to comprise predominantly a combination of surgery, radiotherapy and chemotherapy. Surgery can remove the gross tumors, while radiotherapy and chemotherapy can destroy or inhibit the residual tumor cells, extending survival rates. Although surgery, as the primary choice for the treatment of a brain tumor, exhibits the advantages of directness and thoroughness, the complex brain structure makes the tumors inaccessible in certain patients and, consequently, obstructs or prevents implementation of the surgical procedures. Radiotherapy destroys tumor cells with radiation, while limiting damage to the normal brain cells. It is the most common measure for the treatment of a secondary brain tumor and is an important complementary method for surgical treatment. Treatment with chemotherapy to destroy tumor cells with compounds is generally used in combination with surgery and radiotherapy to increase the chances of successful treatment (4–6). Despite significant progress in therapeutic methods, curing glioma remains rare, with median survival rates not exceeding 2 years (7).
Cisplatin, as a common chemotherapeutic drug, can inhibit DNA replication and transcription in cancer cells through DNA cross-linking, leading to tumor cell growth arrest and apoptosis, however, tumor cells often develop clinical resistance to chemotherapeutic drugs, resulting in treatment failure (8). Therefore, identifying the mechanisms underlying tumor resistance and developing novel methods to reverse drug resistance have important significance for improving the clinical benefits for patients. Previous studies have identified drug-resistance mechanisms of tumor cells, including reducing drug absorption, increasing drug efflux via transporter proteins, detoxifying antitumor drugs via the glutathione system, and causing abnormalities in apoptotic pathways to reduce tumor cell apoptosis (9,10).
Peroxisome proliferator-activated receptor-γ (PPAR-γ) is a type II nuclear receptor, which is closely associated with obesity, diabetes, atherosclerosis and other metabolic diseases clinically, as initial studies have revealed that PPAR-γ regulates fatty acid storage and glucose metabolism (11). Previous studies have demonstrated the association of PPAR-γ with cancer, and a series of preclinical studies have revealed that ligand-activated PPAR-γ is able to arrest tumor cell growth, increase cell apoptosis and inhibit tumor metastasis (12,13). The prevention and treatment of glioma remains a significant clinical challenge, and the correlation between PPAR-γ and cisplatin-resistant glioma remains to be elucidated. The present study aimed to investigate the expression of PPAR-γ in a cisplatin-resistant glioma cell line, whether PPAR-γ altered the sensitivity or resistance of the drug-resistant cells to cisplatin, and preliminarily examine the underlying molecular mechanisms.
Materials and methods
Cells and cell culture
The glioma U87 MG cell line was purchased from the Cell Bank of Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China). The cells were subcultured routinely in Dulbecco’s modified Eagle’s medium (Corning Life Sciences, Manassas, VA, USA), containing 10% fetal bovine serum, 100 U/ml penicillin and 100 U/ml streptomycin (Sigma-Aldrich, St. Louis, MO, USA) at 37°C in a saturated humidity, 5% CO2 incubator. The U-87 MG cells were cultured in cisplatin-containing media, at an initial concentration of 1/10 the half maximal inhibitory concentration (IC50), and the cisplatin concentration was increased gradually with continuous culture. Following continuous exposure to increased concentrations of cisplatin for ~6 months, the growing tumor cells were obtained for the cisplatin-resistant U-87 MG/CDDP cell line.
Construction of the PPAR-γ-overexpressing U-87 MG/CDDP cell line
A PPAR-γ expression plasmid (PPARG-pCMV/hygro plasmid; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) and blank plasmid were purchased from FITGene Tech, Inc. and transfected into the U-87 MG/CDDP cells using Lipofectamine 2000 (Invitrogen Life Technologies, Carlsbad, CA, USA), according to the manufacturer’s instructions. Screening was performed in hygromycin-containing culture media (Sigma-Aldrich), in which cells that had undergone successful transfection with the plasmids were able to grow in the selective culture media.
Detection of the inhibition of cell proliferation using an MTS assay
The cells (3×103) were seeded into 96-well plates and incubated for 24 h at 37°C with 5% CO2. Cisplatin (0, 0.1, 0.5, 1, 5, 10, 50 or 100 µM; Sigma-Aldrich) was added, and the cells were incubated for a further 72 h. Fresh culture media, containing 20 µl MTS (Promega Corporation, Madison, WI, USA), was added to each well and incubated for 2 h. The absorbance was subsequently measured witha microplate reader (Synergy 2; BioTek Instruments, Inc., Winooski, VT, USA) at 492 nm to detect the sensitivity of the tumor cells to cisplatin.
Detection of the intracellular content of rhodamine (Rh)-123, oxidative stress, expression of P-gp, cell cycle and apoptosis by flow cytometry
The cells (3×105) were seeded into 6-well plates and incubated for 24 h, prior to being digested with trypsin (Sigma-Aldrich) at 37°C, centrifuged at 300 × g, washed with cold-phosphate-buffered saline (PBS; Corning Life Sciences) three times, and incubated in the dark at 37°C with 10 µg/ml Rh-123 for 30 min. The cells were subsequently washed with cold-PBS three times and analyzed by flow cytometry (FACSAria; BD Biosciences, San Jose, CA, USA) at 488 nm to detect the intracellular content of Rh-123 in the tumor cells.
To determine the oxidative stress, the cells (3×105) were seeded into 6-well plates and incubated for 24 h, prior to adding 10 µM cisplatin and incubating for a further 24 h. The cells were then digested with trypsin at 37°C, centrifuged at 300 × g, washed with cold-PBS three times and incubated in the dark at 37°C with 20 µl DCFH-DA for 30 min. The cells were subsequently washed with cold-PBS three times and analyzed by flow cytometry at 488 nm to detect the oxidative stress of the tumor cells.
To determine the expression of P-gp, the cells (3×105) were seeded into 6-well plates and incubated for 24 h, followed by being digested with trypsin at 37°C, centrifuged at 300 × g for 5 min, washed with cold-PBS three times, and incubated in the dark at 37°C with 20 µl P-glycoprotein (gp)-phycoerythrin (PE) antibody for 15 min. The cells were then washed with cold-PBS three times and analyzed by flow cytometry at 488 nm to detect the expression of P-gp in the tumor cells.
To examine the effects on the cell cycle, the cells (3×105) were seeded into 6-well plates and incubated at 37°C with 5% CO2 for 24 h, followed by being digested with trypsin at 37°C, centrifuged at 300 × g for 5 min, fixed using cold alcohol (75%) overnight. The cells were then washed with cold-PBS three times and incubated with 500 µl propidium iodide (PI) staining solution with RNaseA (Beyotime Institute of Biotechnology, Shanghai, China) for 30 min. Following staining, the cells were washed with cold-PBS three times and analyzed by flow cytometry at 488 nm to detect the cell cycle of the tumor cells.
To determine the levels of apoptosis, the cells (3×105) were seeded into 6-well plates and incubated for 24 h at 37°C with 5% CO2 prior to the addition of 10 µM cisplatin for a further 24 h at 37°C with 5% CO2. The cells were then digested with trypsin at 37°C, centrifuged at 300 × g for 5 min, washed with cold-PBS three times and incubated in the dark at 37°C with 20 µl annexin V-fluorescein isothiocyanate antibody and PI staining solution for 15 min. The cells were washed with cold-PBS three times and analyzed by flow cytometry at 488 nm to detect the apoptosis of the tumor cells.
Detection of the intracellular levels of thymidylate synthase and glutathione level using a biochemical assay
The cells (3×105) were seeded into 6-well plates and incubated for 24 h. Following incubation, the cells were lysed, centrifuged at 14,000 × g for 5 min at 4°C and the supernatant was collected. The intracellular levels of thymidylate synthase and glutathione were measured using a thymidylate synthase and Total Glutathione Assay kit (Beyotime Institute of Biotechnology), according to the manufacturer’s instructions.
Detection of the production of TGF-β1 using an ELISA assay
The cells (3×105) were seeded into 6-well plates and incubated for 24 h, prior to the addition of fresh culture medium for 24 h and collection of the supernatant. The levels of TGF-β1 were measured using an ELISA detection kit (R&D Systems, Minneapolis, MN, USA), according to the manufacturer’s instructions.
Detection of the protein expression levels of PPAR-γ, multidrug resistance gene (M DR)1, multidrug resistance-associated protein (MRP)1, glutathionine S-transferase (GST)-π, survivin, B-cell lymphoma (Bcl)-2, p53, p21, caspase-3/8, phosphorylated (p)-extracellular signal-regulated kinase (ERK) and p-small mothers against decapentaplegic (Smad)2 by western blotting
The cells (3×105) were seeded into 6-well plates and incubated for 24 h at 37°C with 5% CO2. Following incubation, the cells were lysed, centrifuged at 14,000 × g for 5 min at 4°C and the concentration of total protein in the supernatant was measured using a Bradford Protein Assay Kit. The Bradford assay involved solutions of standard or unknown protein samples being placed in two blank tubes, one for the standard curve, to which 30 µl H2O was added, and the other for the unknown protein samples, to which 30 µl protein preparation buffer was added. In addition, 1.5 ml Bradford reagent was added to each tube and they were mixed well and incubated at room temperature for a minimum of 5 min, but for no more than 1 h. The absorbance could then be measured at 595 nm. The total protein (80 µg) was separated on 12% SDS-PAGE gels (Beyotime Institute of Biotechnology) and transferred onto a polyvinylidene fluoride membrane (Beyotime Institute of Biotechnology). The membrane was blocked using 5% non-fat milk for 2 h at room temperature and was subsequently incubated at 4°C overnight with the following monoclonal IgG antibodies from Santa-Cruz Biotechnology, Inc.: Rabbit anti-human PPAR-γ, (1:300; sc-7196), mouse anti-human MDR1 (1:300; sc-555), rabbit anti-human MRP1 (H-70) (1:300; sc-13960), rabbit anti-human GST-π (110–218) (1:300; sc-33614), mouse anti-human survivin (C-6) (1:300; sc-374616), rabbit anti-human Bcl-2 (1:300; sc-492), rabbit anti-human p53 (FL-393) (1:300; sc-6243), rabbit anti-human p21 (C-19) (1:300; sc-397), rabbit anti-human caspase-3 (H-277) (1:200; sc-7148), rabbit anti-human caspase-8 p18 (H-134) (1:200; sc-7890), rabbit anti-human p-ERK (H-300) (1:200; sc-13073), rabbit anti-human p-Smad2 (Ser 467) (1:200; sc-101801) and rabbit anti-human β-actin (H-196) (1:5,000; sc-7210). The membrane was washed with Tris-buffered saline (TBS), containing 0.1% Tween 20 (Beyotime Institute of Biotechnology) three times and was subsequently incubated with horesradish peroxidase-labeled secondary antibody (1:2,000; Sigma-Aldrich) at room temperature for 1 h. The membrane was then washed with TBS containing 0.1% Tween 20 three times and visualized using a diaminobenzidine kit (Millipore, Billerica, MA, USA). β-actin was used as an internal loading control.
Detection of the mRNA expression levels of PPAR-γ, MDR1, MRP1, GST-π, survivin, Bcl-2, p53 and p21 by reverse transcription-quantitative polymerase chain reaction (RT-qPCR)
The cells (3×105) were seeded into 6-well plates, incubated for 24 h and the total RNA was extracted using TRIzol reagent (Life Technologies, Carlsbad, CA, USA). qPCR was performed with 1 µg RNA, Taqman Master mix (Life Technologies) and the following primers from [Genscript (Nanjing) Co., Ltd., Nanjing, China]: PPAR-γ, sense 5′-CACATCTACAATGCCTACCT-3′ and antisense 5′-CTTCTCTGCCTGCCACAATGTCT-3′; MDR1, sense 5′-AAAAAGATCAACTCGTACCACTC-3′ and antisense 5′-GCACAAAATACACCAACAA-3′; MRP1, sense 5′-ACTTCCACATCTGCTTCGTCAGTG-3′ and anti-sense 5′-ATTCAGCCACAGGAGGTAGAGAGC-3′; GST-π, sense 5′-ACCTGCCTGTGACATCAT-3′ and antisense 5′-TCTCCCTTTGTGCGTTCT-3′; survivin, sense 5′-GCATGGGTGCCCCGACGTTG-3′ and antisense: 5′-GCTCCGGCCAGAGGCCTCAA-3′; Bcl-2, sense 5′-ACGGGGTGAACTGGGGGAGGA-3′ and antisense 5′-TGTTTGGGGCAGGCATGTTGACTT-3′; p53, sense 5′-GCCCAACAACACCAGCTCC-3′ and antisense 5′-CCTGGGCATCCTTGAGTTCC-3′; p21, sense 5′-CACTCCAAACGCCGGCTGATCTTC-3′ and antisense 5′-TGTAGAGCGGGCCTTTGAGGCCCT C-3′ and β-actin, sense 5′-TGAGCGCGGCTACAGCTT-3′ and antisense 5′-TCCTTAATGTCACGCACGATTT-3′. PCR was performed with the ABI 7500 Sequence Detection System (Applied Biosystems Life Technologies, Foster City, CA, USA) and the reaction conditions were as follows: 94°C denaturation for 3 min, followed by 40 cycles of 95°C for 5 sec, 65°C for 35 sec and 72°C for 60 sec. β-actin was used as an internal control, and mRNA expression levels were quantified by comparing target gene and β-actin expression levels.
Detection of the transcriptional activity of Twist and nuclear factor (erythroid-derived 2)-like 2 (NRF2) using a dual luciferase reporter gene assay
The cells (3×105) were seeded into 6-well plates and incubated for 24 h. The luciferase reporter plasmids of Twist and NRF2 (Beyotime Institute of Biotechnology) were transfected into the cells using Lipofectamine 2000 (Invitrogen Life Technologies), according to the manufacturer’s instructions, and the cells were cultured for 24 h. The fluorescence intensity was subsequently determined using a Dual-Glo® Luciferase assay system (Promega Corporation) to detect the transcriptional activity of Twist and NRF2.
Statistical methods
The data are expressed as the mean ± standard deviation and were analyzed using SPSS 11.5 software (SPSS, Inc,. Chicago, IL, USA) by one-way analysis of variance. Each experiment was repeated three times. P<0.05 was considered to indicate a statistically significant difference.
Results
PPAR-γ increases the cisplatin sensitivity of U-87 MG/DDP cells
The results of the western blotting and RT-qPCR demonstrated that the expression of PPAR-γ in the U-87 MG/DDP cells transfected with the PPARG-pCMV/hygro plasmid (PPAR-γ group 1 and PPAR-γ group 2) was increased compared with the that in the U-87 MG/DDP cells transfected with the blank plasmid (negative group) and the U-87 MG/DDP cells without transfection (control group). In addition, there was increased expression of PPAR-γ in PPAR-γ group 2 compared with PPAR-γ group 1 (Fig. 1). These results indicated that the PPAR-γ overexpressing U-87 MG/DDP cell lines had been successfully established.
The MTS assay indicated that the there was increased cisplatin sensitivity in the PPAR-γ-overexpressing U-87 MG/DDP cells compared with the control and negative groups. The IC50 of the control group, negative group, PPAR-γ group 1 and PPAR-γ group 2 was 78.3, 80.5, 53.6 and 36.4 µM, respectively, and the reversal fold (RF) was 1.46 and 2.15, respectively, indicating that PPAR-γ increased the sensitivity of the U-87 MG/DDP cells to cisplatin (Fig. 2).
PPAR-γ increases intracellular Rh-123 content and oxidative stress, decreases the expression levels of P-gp, thymidylate synthase, glutathione and TGF-β1, arrests the cell cycle and improves the cell apoptosis of U-87 MG/DDP cells
The results of the flow cytometry demonstrated increased intracellular content of Rh-123 and levels of oxidative stress in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control group, however, the expression levels of P-gp, thymidylate synthase, glutathione and TGF-β1 were reduced in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control group. Additionally, the G0/G1 phase rate and apoptotic rate were increased in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control group (Fig. 3).
PPAR-γ regulates the expression levels of MDR-associated genes in U-87 MG/DDP cells
The results of the western blotting demonstrated decreased protein expression levels of MDR, MRP, GST-π, survivin and Bcl-2 in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control and negative groups. However, the protein expression levels of p53, p21 and caspase-3/8 were increased in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control and negative groups. The RT-qPCR results revealed the same trend (Fig. 4).
PPAR-γ regulates MDR-associated signaling molecules in U-87 MG/DDP cells
The results of the western blotting revealed that the phosphorylation levels of ERK and Smad2 were decreased in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control and negative groups. In addition, the results of the reporter gene assay demonstrated that there were decreased transcriptional activities of Twist and NRF2 in the PPAR-γ-overexpressing U-87 MG/DDP cell lines compared with the control group (Fig. 5).
Discussion
Glioma is the most common type of primary malignant brain tumor. Although surgery is the primary choice in brain tumor treatment, a number of patients are not suitable for surgery for a variety of reasons or surgery cannot achieve the optimal therapeutic effect. In these cases, radiotherapy and chemotherapy are a suitable alternative or adjuvant therapy. Platinum-containing agents are a class of widely used chemotherapeutic drugs and demonstrate favorable efficacy in the treatment of a variety of malignant types of tumor. However, the tumor cells can develop drug resistance during the therapeutic process, often leading to treatment failure (14). This means that searching for molecular drug targets against drug resistance clinically is urgently required to improve the clinical benefits for the patient.
PPAR-γ is a nuclear transcription factor, which can bind to corresponding ligands to induce or inhibit target gene expression. PPAR-γ is overexpressed in adipose tissue and expressed in mammary, pulmonary, ovarian, prostate and other types of tissue. Previous studies elucidated the close association between PPAR-γ and cancer, for example, the ligand-induced activation of PPAR-γ arrests the growth of ovarian cancer cells and non-small cell lung cancer cells, and also induces tumor cell differentiation and apoptosis. Patients with breast cancer overexpressing PPAR-γ exhibit longer disease-free survival rates (15–17). However, the role of PPAR-γ in cisplatin-resistant glioma remains to be elucidated.
One of the mechanisms of tumor cell resistance to chemotherapeutic drugs is the overexpression of MDR proteins, including MDR1 and MRP1, leading to increased drug efflux to reduce the intracellular drug accumulation and effective drug concentration at the target sites (18,19). The present study established the U-87 MG/CDDP cisplatin-resistant cell line and used a recombinant plasmid transfection technique to stably overexpress PPAR-γ in these drug-resistant cells. The subsequent MTS assay revealed that the sensitivity of the U-87 MG/CDDP PPAR-γ-overexpressing cell lines to cisplatin was increased, as evidenced by the reduced IC50. This sensitivity was positively correlated with the expression of PPAR-γ. The present study also used flow cytometry to detect changes in the content of Rh-123 in tumor cells, the results of which demonstrated that a higher level of PPAR-γ was correlated with an increase in the intracellular content of Rh-123. Since Rh-123 is a substrate of MDR1 and MRP1, the increase in intracellular Rh-123 content indirectly suggested a reduced efflux of chemotherapeutic drug molecules from tumor cells (20,21). Furthermore, western blotting and RT-qPCR demonstrated that the transcription and expression levels of MDR1 and MRP1 decreased, consistent with the decreased expression of P-gp.
In addition to MDR1 and MRP1, other mechanisms may mediate tumor cell resistance to cisplatin. GST-π, thymidylate synthase and glutathione can act as detoxication molecules to detoxify chemotherapeutic drug toxicity (22,23). The present study also found that the expression levels of GST-π, thymidylate synthase and glutathione significantly decreased following the overexpression of PPAR-γ and there was increased oxidative stress by cisplatin, suggesting that PPAR-γ negatively regulated the expression levels of GST-π, thymidylate synthase and glutathione, and consequently inhibited the tumor cell drug resistance mediated by the latter. Therefore, PPAR-γ reversed U-87 MG/CDDP drug resistance through multiple pathways.
The flow cytometry results demonstrated that PPAR-γ arrested the tumor cell cycle at the G0/G1 phase and increased the levels of apoptosis. Investigation of the cell cycle- and apoptosis-associated protein molecules revealed that PPAR-γ negatively regulated the expression levels of durvivin and Bcl-2, which are tumor cell apoptosis inhibitory proteins (24,25), and positively regulated the expression levels of p21, p53 and caspase-3/8, which are cell apoptosis inducing proteins (26–28). Accordingly, PPAR-γ regulated tumor cell apoptosis through coordinated regulation of multiple protein molecules. The fact that p21/p53 can arrest cells at the G1/S checkpoint and previous findings indicate G0/G1 transforming gene-2 as the target gene of PPAR are consistent with the observation in the present study that the overexpression of PPAR-γ arrested tumor cells at the G0/G1 phase (29). In addition, western blotting demonstrated that PPAR-γ was able to downregulate the levels of TGF-β1 and the phosphorylation of ERK and Smad2, which are important in tumor cell growth (30). It was also observed that PPAR-γ was able to downregulate the transcriptional activity of Twist and NRF2 in the U-87 MG/CDDP tumor cells. These transcription factors are all important in the carcinogenesis and progression of tumor cells (31–33).
In conclusion, the present study demonstrated that the overexpression of PPAR-γ was able to reverse drug resistance in the U-87 MG/CDDP cisplatin-resistant glioma cell line. The mechanisms of action were found to include: Downregulation of MDR1 and MRP1, increased intracellular drug accumulation, increased tumor cell sensitivity to drugs, regulation of multiple proteins associated with the cell cycle and cell apoptosis, inhibition of tumor cell growth and increased apoptosis through the TGF-β1/ERK/Smad2 pathway.
References
Shete S, Lau CC, Houlston RS, et al: Genome-wide high-density SNP linkage search for glioma susceptibility loci: results from the Gliogene consortium. Cancer Res. 71:7568–7575. 2011. View Article : Google Scholar : PubMed/NCBI | |
Sabo B: Primary malignant brain tumours, psychosocial distress and the intimate partner experience: what do we know? Can J Neurosci Nurs. 3:9–15. 2014. | |
Zhou LF: The first step in a long-run-celebrating the announcement of ‘Guideline for the management of CNS gliomas in China’. Zhonghua Yi Xue Za Zhi. 93:24172013.In Chinese. | |
Yang P, Wang Y, Peng X, et al: Management and survival rates in patients with glioma in China (2004-2010): a retrospective study from a single-institution. J Neurooncol. 113:259–266. 2013. View Article : Google Scholar : PubMed/NCBI | |
Wu JS, Zhang J, Zhuang DX, et al: Current status of cerebral glioma surgery in China. Chin Med J (Engl). 124:2569–2577. 2011. | |
Wang J, Liu X, Ba YM, et al: Effect of sonographically guided cerebral glioma surgery on survival time. J Ultrasound Med. 31:757–762. 2012.PubMed/NCBI | |
Diaz-Miqueli A and Martinez GS: Nimotuzumab as a radiosen-sitizing agent in the treatment of high grade glioma: challenges and opportunities. Onco Targets Ther. 6:931–942. 2013. View Article : Google Scholar | |
Wu Z, Chan CL, Eastman A and Bresnick E: Expression of human O6-methylguanine-DNA methyltransferase in Chinese hamster ovary cells and restoration of cellular resistance to certain N-nitroso compounds. Mol Carcinog. 4:482–488. 1991. View Article : Google Scholar : PubMed/NCBI | |
Wang Y, Liu L, Liu X, et al: Shugoshin1 enhances multidrug resistance of gastric cancer cells by regulating MRP1, Bcl-2 and Bax genes. Tumour Biol. 34:2205–2214. 2013. View Article : Google Scholar : PubMed/NCBI | |
Cheung KK, Chan JY and Fung KP: Antiproliferative effect of pheophorbide a-mediated photodynamic therapy and its synergistic effect with doxorubicin on multiple drug-resistant uterine sarcoma cell MES-SA/Dx5. Drug Chem Toxicol. 36:474–483. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ching J, Amiridis S, Stylli SS, et al: A novel treatment strategy for glioblastoma multiforme and glioma associated seizures: increasing glutamate uptake with PPARγ agonists. J Clin Neurosci. 1:21–28. 2015. View Article : Google Scholar | |
Abbott BD: Review of the expression of peroxisome prolif-erator-activated receptors alpha (PPAR alpha), beta (PPAR beta) and gamma (PPAR gamma) in rodent and human development. Reprod Toxicol. 27:246–257. 2009. View Article : Google Scholar | |
Khoo NK, Hebbar S, Zhao W, et al: Differential activation of catalase expression and activity by PPAR agonists: implications for astrocyte protection in anti-glioma therapy. Redox Biol. 1:70–79. 2013. View Article : Google Scholar : PubMed/NCBI | |
Bai Y, Liao H, Liu T, et al: MiR-296-3p regulates cell growth and multi-drug resistance of human glioblastoma by targeting ether-à-go-go (EAG1). Eur J Cancer. 49:710–724. 2013. View Article : Google Scholar | |
Reka AK, Goswami MT, Krishnapuram R, et al: Molecular cross-regulation between PPAR-γ and other signaling pathways: implications for lung cancer therapy. Lung Cancer. 72:154–159. 2011. View Article : Google Scholar : PubMed/NCBI | |
Kawai M and Rosen CJ: PPARγ: a circadian transcription factor in adipogenesis and osteogenesis. Nat Rev Endocrinol. 6:629–636. 2010. View Article : Google Scholar : PubMed/NCBI | |
Siersbaek R, Nielsen R and Mandrup S: PPARgamma in adipocyte differentiation and metabolism-novel insights from genome-wide studies. FEBS Lett. 584:3242–3249. 2010. View Article : Google Scholar : PubMed/NCBI | |
Martín V, Sanchez-Sanchez AM, Herrera F, et al: Melatonin-induced methylation of the ABCG2/BCRP promoter as a novel mechanism to overcome multidrug resistance in brain tumour stem cells. Br J Cancer. 108:2005–2012. 2013. View Article : Google Scholar : PubMed/NCBI | |
Quezada C, Peigñan L, Segura R, et al: Study of resistance to chemotherapy mediated by ABC transporters in biopsies of glioblastoma multiforme. Rev Med Chil. 139:415–424. 2011.In Spanish. View Article : Google Scholar : PubMed/NCBI | |
Garrido W, Muñoz M, San Martín R and Quezada C: FK506 confers chemosensitivity to anticancer drugs in glioblastoma multiforme cells by decreasing the expression of the multiple resistance-associated protein-1. Biochem Biophys Res Commun. 411:62–68. 2011. View Article : Google Scholar : PubMed/NCBI | |
Shityakov S and Förster C: Multidrug resistance protein P-gp interaction with nanoparticles (fullerenes and carbon nanotube) to assess their drug delivery potential: a theoretical molecular docking study. Int J Comput Biol Drug Des. 6:343–357. 2013. View Article : Google Scholar : PubMed/NCBI | |
Zhu FS, Chen XM, Huang ZG, et al: Rofecoxib augments anticancer effects by reversing intrinsic multidrug resistance gene expression in BGC-823 gastric cancer cells. J Dig Dis. 11:34–42. 2010. View Article : Google Scholar : PubMed/NCBI | |
Zhou YT, Li K and Tian H: Effects of vinorelbine on cisplatin resistance reversal in human lung cancer A549/DDP cells. Asian Pac J Cancer Prev. 14:4635–4639. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ryan BM, O’Donovan N and Duffy MJ: Survivin: a new target for anti-cancer therapy. Cancer Treat Rev. 35:553–562. 2009. View Article : Google Scholar : PubMed/NCBI | |
Horowitz JC, Ajayi IO, Kulasekaran P, et al: Survivin expression induced by endothelin-1 promotes myofibroblast resistance to apoptosis. Int J Biochem Cell Biol. 44:158–169. 2012. View Article : Google Scholar | |
Zhu Y, Liu XJ, Yang P, et al: Alkylglyceronephosphate synthase (AGPS) alters the lipids signaling pathways and support the chemotherapy resistance of glioma and hepatic carcinoma cell lines. Asian Pac J Cancer Prev. 15:3219–3226. 2014. View Article : Google Scholar | |
Bharatham N, Chi SW and Yoon HS: Molecular basis of Bcl-X(L)-p53 interaction: insights from molecular dynamics simulations. PLoS One. 6:e260142011. View Article : Google Scholar : PubMed/NCBI | |
Zandbergen F, Mandard S, Escher P, et al: The G0/G1 switch gene 2 is a novel PPAR target gene. 392:313–324. 2005. | |
Yuan L, Zhang Y, Xia J, et al: Resveratrol induces cell cycle arrest via a p53-independent pathway in A549 cells. Mol Med Rep. 4:2459–2464. 2015. | |
Liu LC, Tsao TC, Hsu SR, et al: EGCG inhibits transforming growth factor-β-mediated epithelial-to-mesenchymal transition via the inhibition of Smad2 and Erk1/2 signaling pathways in nonsmall cell lung cancer cells. J Agric Food Chem. 60:9863–9873. 2012. View Article : Google Scholar : PubMed/NCBI | |
Gilmore TD: Introduction to NF-kappaB: players, pathways, perspectives. Oncogene. 25:6680–6684. 2006. View Article : Google Scholar : PubMed/NCBI | |
Wagner EF and Nebreda AR: Signal integration by JNK and p38 MAPK pathways in cancer development. Nat Rev Cancer. 9:537–549. 2009. View Article : Google Scholar : PubMed/NCBI | |
Nakamura T, Toita H, Yoshimoto A, et al: Potential involvement of Twist2 and Erk in the regulation of osteoblastogenesis by HB-EGF-EGFR signaling. Cell Struct Funct. 35:53–61. 2010. View Article : Google Scholar : PubMed/NCBI |