Literature DB >> 27651810

The effect of adenosine A1 receptor agonist and antagonist on p53 and caspase 3, 8, and 9 expression and apoptosis rate in MCF-7 breast cancer cell line.

Mehdi Nikbakht Dastjerdi1, Mohammad Zamani Rarani1, Ali Valiani1, Mohsen Mahmoudieh2.   

Abstract

Adenosine receptor family especially A1 type is expressed in breast cancer cells in which P53 and caspase genes are wild-type. The aim of this study was to investigate the correlation between A1 receptor and either cell apoptosis or proliferation and also to recognize the relationship between this receptor and P53 and the expression of caspases 3, 8 and 9 in MCF-7 cell line. MCF-7 cells were treated intermittently with A1 receptor agonist N6-Cyclopentyladenosine (CPA) and A1 receptor antagonist 1,3-dipropyl-8-cyclopentylxanthine (DPCPX) in different times to measure the expression of p53, caspase 3, 8 and 9 besides apoptosis and survival rate. Our findings indicated that DPCPX significantly induced apoptosis in MCF-7 cells while the cell viability was reduced specially 72 h after the treatment and the expression of p53 gene and caspase expressions was dramatically up-regulated. On the other hand, CPA increased the cell viability and reduced apoptosis in MCF-7 cells. Our results indicated a significant down-regulation in the MCF-7 mRNA expression of p53 and caspases 3, 8 and 9. Furthermore, DPCPX induced p53 and caspase 3, 8 and 9 expressions that consequently promotes the cell apoptosis in MCF-7 cells. Therefore, DPCPX can be considered as an anti-cancer drug.

Entities:  

Keywords:  Adenosine A1; Apoptosis; Caspase; Genes; MCF-7 cells; p53

Year:  2016        PMID: 27651810      PMCID: PMC5022378          DOI: 10.4103/1735-5362.189301

Source DB:  PubMed          Journal:  Res Pharm Sci        ISSN: 1735-5362


INTRODUCTION

Breast cancer is the most common cancer among women especially in developed countries. This type of cancer have about one in eight lifetime risk and one-third of the patients will die as a result of this disease (12). Many studies have shown that MCF-7 is one of the breast cancer cell lines in 70% of patients in which p53 gene is wild-type (3). Cancerous cells escape from natural proliferation control systems via different mechanisms which substantially conduce to genomic changes. Therefore, these changes can lead to abnormal cell proliferation, unusual cell movements and invasion and even cancerous cell drug resistance (45). One of the genomic changes in the most breast cancer cell lines is A1 receptor overexpression. A1 receptor is one of the purinergic P1 receptors (A1, A2a, A2b, and A3) which generally have a critical role in the control of inflammation, immune reactions, programmed cell death pathways, cell division and differentiation. Expression, concentration and even function of A1 receptor are different in different tissues and cells which depend on the cell background (6789). Cell programmed death or apoptosis is associated with fragmentation of DNA, conjointly, it is characterized morphologically by cytoplasmic condensation, pyknosis of nucleus, cell rounding and formation of apoptotic bodies. Apoptosis is critical for some different biological events such as senescence and clearance of excess or harmful cells. This type of death is also essential for normal development and homeostasis. Two main apoptotic pathways are respectively described as extrinsic or death receptor-mediated apoptosis and intrinsic or mitochondrial-mediated apoptosis (101112). Also apoptosis is an energy-dependent process that involves the activation of cysteine proteases called “caspases”. Caspases link the initiating stimuli to final state of cell programmed death. Each of intrinsic or extrinsic pathways has their own special caspases. Many common drugs used for cancer therapy lead to apoptosis through caspases and p53-dependent pathway (1314). Overexpression of caspases has shown to be sufficient to induce apoptosis in mammalian cells (15). P53 is a tumor suppressor gene in human genome that mainly controls the cell proliferation and mitosis. This gene has several biological functions including DNA repair, cell cycle control, differentiation and apoptosis (16). Also p53 has significant role in every external and internal apoptotic pathways which activate specific caspases. Inhibition of p53 gene expression in many cases can cause uncontrolled cell division. P53 is mutated in 50% of human cancers but this sum is only 20-30% in the breast cancer (171819). Adenosine A1 receptor is overexpressed in breast cancer cells although the signaling pathway of this receptor is not clear (20). Some researchers have shown that A1 receptor expression is associated with cell viability, mitosis rate and decreased apoptosis. This expression is critical to induce proliferation in positive and negative estrogen receptor cell lines of breast cancer (2021). Many studies have demonstrated that prostatic cancer cells have also a high concentration of adenosine receptors. Likewise activation of A3 receptor with IB-MECA (an agonist for this receptor) leads to p53 overexpression, cell cycle arrest and caspase 3 activation in these cells (22). Moreover, the activation of A1 receptor reduces the cell damage and apoptotic rate following an oxidative stress in the brain, kidney, and heart. Conversely antagonist of this receptor increases cell and tissue damage in these conditions (2324). A1 receptor can also inhibit caspase 3 activation and inhibit apoptosis in brain hypoglycemia (24). With regard to importance of increasing the incidence of breast cancer in developing countries, we aimed to investigate the effect of A1 receptor agonist (N6-Cyclopentyladenosine (CPA)) and antagonist (8-Cyclopentyl-1, 3-dipropylxanthine (DPCPX)) on cell viability, expression of p53 and special caspases in apoptotic pathways.

MATERIAL AND METHODS

Cell culture, drug and treatment

MCF-7 cell line was obtained from the Animal Cell Culture Division of Pasteur Institute (Tehran, Iran). Cells were maintained in Dulbecco's Modified Eagle Medium (DMEM/F12, Bioidea, Iran) with 10% fetal bovine serum (Gibco, Germany), 100 U/mL penicillin (Bioidea, Iran), 100 μg/mL streptomycin (Bioidea, Iran) and kept at 37°C in a humidified atmosphere with 5% CO2. For experiments after trypsinization (trypsin-ethylenediaminetetraacetic acid (EDTA), Bioidea, Iran), cells were seeded in culture flasks. CPA and DPCPX were purchased from Sigma (C8031, C101, USA) and dissolved in dimethyl sulfoxide (DMSO, Sigma, USA) to the appropriate concentrations according to half maximal inhibitory concentration (IC50) assay. After the cells were > 80% confluent and growing exponentially in T75 culture flask (SPL, South Korea), 106 MCF-7 cells were counted and plated in T75 culture flask and then kept in culture medium for 24 h which were then incubated with certain concentrations of CPA and DPCPX, based on IC50 concentration and in the certain times (24, 48, 72 h) the tests were performed.

IC50 assay

The IC50 values for the CPA and DPCPX in MCF-7 cells were acquired after 24 h of treatment. Briefly, 104 cells (MCF-7) were counted and placed into each well of a 12-well plate and afterwards were treated with various drug concentrations (0, 10, 50, 100, 200, and 400 μM for CPA and 0.01, 0.05, 0.1, 1, 10, and 100 μM for DPCPX) for 24 h, and then 3(4,5-dimethylthiazol-2-yl)2,5- diphenyl-tetrazoliumbromide (MTT, Sigma, USA) survival assay was carried out for evaluating the cell viability with different drug concentrations in each groups. A graph of cell viability versus drug concentration was used to calculate IC50 values for MCF-7cell line.

MTT assay

104 cells per well plated into 24-well plates. After 24 h the medium was removed and the drugs that dissolved in medium in certain concentrations were added. In certain time intervals (24, 48 and 72 h) the cell viability was measured using MTT in DMEM/F-12 medium for 3 h. After lysis with DMSO, 100 µl aliquot of the soluble fraction was transferred into 96-well plates, and the optical density (OD) was measured by a plate reader. The percent of cells stained by MTT were determined by comparison of the OD of each sample with the OD of the control group.

Flowcytometry assay

The percentage of apoptotic cells was measured by flowcytometry following the annexinV (FL1-H) and PI (FL2-H) labeling. A minimum of 4 × 105 cells/mL were analyzed for each sample. Cells which were treated with CPA and DPCPX (180 μM and 87 nM) in 24, 48 and 72 h were washed in phosphate buffer saline and resuspended in binding buffer (1 × 5 μL). AnnexinV-FITC was added to 195 μL cell suspensions and then analysis was carried out according to the manufacturer's protocol (BMS500F1/100CE annexin V-FITC, eBioscience, USA). Finally the apoptotic cells were counted by FACScan flowcytometry (Becton Dickinson, Heidelberg, Germany). These experiments were carried out in triplicate and were independently repeated at least 3 times.

Real-time polymerase chain reaction

Total RNA from cells were extracted at the indicated times, using the RNeasy Mini Kit following manufacturer's instructions (Qiagen, Hilden, Germany). After treatment with DNase I, total RNA (100 ng) was reverse-transcribed to cDNA by using the RevertAid™First Strand cDNA Synthesis Kit (Fermentas, USA) according to the manufacturer's instructions. The Maxima SYBR Green/RoxqPCRMaster Mix kit (Fermentas, USA) was used for real-time PCR. Primer sequences are shown in Table 1. Real-time PCR reactions were performed with StepOnePlus (Applied Biosystem, USA). The program of real-time PCR lasted 10 min at 95°C followed by 40 cycles of denaturation step at 95°C for 15 s followed by annealing and extension for 1 min at 60°C. The data were analyzed by Comparative CT (ΔΔCT) method. The relative gene expression levels were calculated by determining a ratio between the amount of every gene expression and that of endogenous control. Melting curve analysis (60°C to 95°C increment of 0.3°C) was used to determine the melting temperature of specific amplification products and primer dimmers. These experiments were carried out in triplicate and were independently repeated at least 3 times.
Table 1

Primers used in real-time PCR.

Primers used in real-time PCR.

Statistical analysis

All the quantitative data have been presented as the mean ± standard deviation. One-way analysis of variance (ANOVA) with Tukey post-hoc test was performed to determine statistical significance among different groups using SPSS software version 20. Significance was accepted at a level of P < 0.05.

RESULTS

In this assay after the treatment of MCF-7 cells with MTT solution, the dark blue formazan crystals were seen in viable cells indicating their metabolic activity. The reduction in the number of cells was directly dependent on the drug doses as shown by the IC50s. The IC50 values for the CPA and DPCPX established (Fig. 1) and the results showed that the essential concentrations of CPA and DPCPX to achieve to IC50 in MCF-7 cells at 24 h are 180 and 0.87 µM, respectively (Fig. 1).
Fig. 1

IC50 assay of DPCPX and CPA in MCF7 cancer cell lines. Cells incubated with/without the drug in different concentrations and the relative amount of viable cells estimated by measuring the absorbance of MTT solution. Graphs of viability versus drug concentration were used to calculate IC50 values.

IC50 assay of DPCPX and CPA in MCF7 cancer cell lines. Cells incubated with/without the drug in different concentrations and the relative amount of viable cells estimated by measuring the absorbance of MTT solution. Graphs of viability versus drug concentration were used to calculate IC50 values.

MTT cell proliferation assay

The effect of CPA and DPCPX on cell proliferations was studied using MTT proliferation assay in MCF7 cell line. In this assay, CPA and DPCPX concentrations were used according to their IC50 values. Untreated cells were used as the control group. In order to determine the changes in the number of cells in the wells during the experiment, cell proliferation was measured 24, 48 and 72 h after the treatment period (Fig. 2). DPCPX treatment on MCF7 cells showed lower optical density at IC50 concentration than control especially at 72 h. Albeit, CPA treatment groups showed that optical density was increased gradually. This optical density is in proportion to the number of viable cells (Fig. 2).
Fig. 2

MTT assay at IC50 concentrations of CAP and DPCPX at 24, 48 and 72 h after treatment. Asterisk shows significant difference compared to control group (P > 0.05).

MTT assay at IC50 concentrations of CAP and DPCPX at 24, 48 and 72 h after treatment. Asterisk shows significant difference compared to control group (P > 0.05).

Flowcytometry

The flowcytometry assay was used to determine the apoptotic potential of CPA and DPCPX. The percentage of apoptotic cells was measured following AnnexinV (FL1-H) and PI (FL2-H) labeling (Fig. 3). Our results revealed that the 87 nM concentration of DPCPX based on IC50 concentration at indicated times (24, 48 and 72 h) could significantly induce apoptosis in MCF-7 cells progressively (P < 0.05) (Fig. 4). DPCPX treatment arrested MCf-7 cell proliferation and induced apoptosis (≥ 65% of inhibition) at 72 h, whereas the effect of CPA on programmed cell death in all different times was negative (P > 0.05) (Fig. 3) and apoptotic cell rate decreased in comparison with control group especially at 72 h (P < 0.05). DMSO that was used in the control sample (drug vehicle) had a smaller amount of apoptosis in MCF-7 cells than control at different times (P < 0.05) (Fig. 4).
Fig. 3

Relative levels of apoptotic cells in MCF-7 cancer cell lines treated with DPCPX and CPA for 24, 48 and 72 h.

Fig. 4

Relative levels of apoptotic cells in MCF-7 cancer cell lines treated with 87 nM DPCPX and 180 μM CPA for different times. Untreated cells used as control groups. *P < 0.05 compared to controls.

Relative levels of apoptotic cells in MCF-7 cancer cell lines treated with DPCPX and CPA for 24, 48 and 72 h. Relative levels of apoptotic cells in MCF-7 cancer cell lines treated with 87 nM DPCPX and 180 μM CPA for different times. Untreated cells used as control groups. *P < 0.05 compared to controls.

Results of real-time PCR

To examine the effect of CPA and DPCPX (based on their IC50 values) at different times on expression of p53 and caspases 3, 8, 9 genes in MCF-7 cells, we used real-time quantitative PCR. The expression of p53 gene and caspase 3, 8, 9 was dramatically up-regulated by DPCPX treatment within different times especially at 72 h after treatment (Fig. 4, P < 0.05). CPA significantly down-regulated the expression of these genes in indicated times (P > 0.05) especially at 72 h (Fig. 5).
Fig. 5

Effects of CPA and DPCPX on the levels of caspase 3, caspase 8, caspase 9, and p53 expression in MCF-7 cells in 24, 48 and 72 h after treatment. Asterisk shows significant difference versus control group (P > 0.05).

Effects of CPA and DPCPX on the levels of caspase 3, caspase 8, caspase 9, and p53 expression in MCF-7 cells in 24, 48 and 72 h after treatment. Asterisk shows significant difference versus control group (P > 0.05).

DISCUSSION

Many studies have hither to done for usage of new chemotherapeutic drugs against different receptors (9). Also in cancer therapy an ideal therapeutic approach would be inducing apoptosis specifically to the tumor cells, as well as at the sites of metastasis without affecting the healthy cells (2526). To achieve this goal, usage of specific properties of each cancerous cell type is essential. One of these properties in MCF-7 cell is overexpression of adenosine A1 receptor. Adenosine A1 receptor is a member of adenosine receptors super family. Regarding to different roles of adenosine A1 receptor in some diseases, it has been suggested that this receptor may act as a potent regulator of normal and tumor cell growth by exerting pro and anti-apoptotic effects (20212324). Earlier studies suggested that inducing of apoptosis in cancerous cells by adenosine A1 receptor antagonists would require p53 gene expression (2526). In the present study, we hypothesized that adenosine A1 receptor induces the apoptosis in many different cancerous cells. In a way that silencing adenosine A1 receptor with siRNA, could induce apoptosis in MDA-MB-468, MDA-MB-435, BT-474, ZR75-1, T47D and MCF-7 human breast tumor cell lines (20). Therefore, we also focused on A1 receptor and its agonist and antagonist drugs. Our results in flowcytometry assay revealed that the use of adenosine A1 receptor antagonist (DPCPX) induced apoptosis in MCF-7 cells while agonist of this receptor (CPA) decreased apoptosis by ascending time manner. MTT assay showed that DPCPX at 87 nM exerted significant cytotoxicity to MCF-7 cells by time-dependent manner, whilst CPA at 180 µM increased the cell viability rate. Since MCF-7 cell naturally overexpresses adenosine A1 receptor, the promotion of viability of cancerous cells and inhibition of cell apoptosis are probable. It is reported that adenosine decreased cell viability and increased apoptosis rate in LU-65 lung cancer cells through adenosine A3 receptor (18). IB-MECA adenosine A3 agonist induced apoptosis in OVCAR3 ovarian cancer cell line (27). These findings are contrary to our findings about the role of adenosine A1 receptor in MCF-7 cells. Since p53 and caspases 3, 8, and 9 control two main apoptosis pathways, we evaluated mRNA expression of these genes by real-time PCR. Quantitative real-time PCR results showed that DPCPX up-regulated mRNA level of p53, caspase 3, 8, and 9. Li et al. reported that by overexpression p53 in erytroleukemia cell line, G1 cell cycle was arrested and subsequently apoptosis was occurred (15). In addition, apoptosis in some cancer cells do not require new caspase expressions, but in most cases, apoptosis by drugs occur by induction of caspases expression. Caspase expression promotes apoptosis and also sensitizes cancerous cells to the immune system (15). Similar to these findings, our results revealed that DPCPX treatment in MCF-7 cells in addition to induced apoptosis can increase p53 and caspase expression. The role of adenosine A1 receptors in p53 and caspases 3, 8, and 9 expressions have not yet been well documented, but some reports show that activation or inhibition of this receptor decreases apoptotic cell death in some cells and increases apoptotic rate in some others. For example agonists of adenosine A1 receptor, N6-cyclohexyladenosine (CHA) and N6-(R)-phenylisopropyladenosine (R-PIA) decreased cell viability in human colon adenocarcinoma cells (CACO2), human hepatocyte carcinoma cells (HepG2), human renal adenocarcinoma cells (ACHN), Hep2, human Caucasian larynx carcinoma cell line but in the L929, mouse connective tissue fibroblast cell line did not have any apoptotic effects (28). However, in this report, gene expression test about these effects has not been conducted, but in astrosytoma RCR-1 cell line extracellular adenosine induced apoptosis via adenosine A1 receptor activation by inducing the expression of caspases 9, 8, and 3 and finally apoptosis by unknown pathway (29). An earlier study showed that adenosine up-regulates p53 expression via A3 adenosine receptor and induces apoptosis by activation of caspase 9 and caspase 3 in LU-65 lung cancer cell line (30). Finally, although the induction of apoptosis by the mechanisms underlying adenosine A1 receptor vary according to cancer cell types; targeted therapy is one of the main challenges in cancer therapy and adenosine A1 receptors have the specificity for their antagonists such as DPCPX. It is anticipated that adenosine receptor A1 antagonist, could significantly reduce the usage of anti-cancer drugs and enhance the efficacy with lower toxicity.

CONCLUSION

We have shown that A1 receptor antagonist induces apoptosis in MCF-7 cells in the concentration range of 180 nM. Furthermore, quantitative real-time PCR analysis revealed that mRNA levels of some genes involved in the apoptosis were altered by this receptor antagonist. Overall, our data suggest that A1 receptor antagonist may induce apoptosis in MCF-7 cells via p53 and caspases pathways. Although this in vitro study showed the induction of apoptosis by A1 receptor antagonist; it warrants further investigation to determine in vivo exposure consequences of this receptor application.
  24 in total

1.  PP2A:B56{epsilon}, a substrate of caspase-3, regulates p53-dependent and p53-independent apoptosis during development.

Authors:  Zhigang Jin; Lindsay Wallace; Scott Q Harper; Jing Yang
Journal:  J Biol Chem       Date:  2010-08-31       Impact factor: 5.157

Review 2.  Pathophysiology and therapeutic potential of purinergic signaling.

Authors:  Geoffrey Burnstock
Journal:  Pharmacol Rev       Date:  2006-03       Impact factor: 25.468

3.  RNA interference targeting of A1 receptor-overexpressing breast carcinoma cells leads to diminished rates of cell proliferation and induction of apoptosis.

Authors:  Asra Mirza; Andrea Basso; Stuart Black; Michael Malkowski; Lia Kwee; Jonathan A Pachter; Jean E Lachowicz; Yan Wang; Suxing Liu
Journal:  Cancer Biol Ther       Date:  2005-12-21       Impact factor: 4.742

Review 4.  Purine and pyrimidine receptors.

Authors:  G Burnstock
Journal:  Cell Mol Life Sci       Date:  2007-06       Impact factor: 9.261

Review 5.  MicroRNAs in the p53 network: micromanagement of tumour suppression.

Authors:  Heiko Hermeking
Journal:  Nat Rev Cancer       Date:  2012-08-17       Impact factor: 60.716

6.  A3 adenosine receptor-mediated p53-dependent apoptosis in Lu-65 human lung cancer cells.

Authors:  Tai-ichiro Otsuki; Takeshi Kanno; Yumiko Fujita; Chiharu Tabata; Kazuya Fukuoka; Takashi Nakano; Akinobu Gotoh; Tomoyuki Nishizaki
Journal:  Cell Physiol Biochem       Date:  2012-06-19

Review 7.  A glance at adenosine receptors: novel target for antitumor therapy.

Authors:  Stefania Merighi; Prisco Mirandola; Katia Varani; Stefania Gessi; Edward Leung; Pier Giovanni Baraldi; Mojgan Aghazadeh Tabrizi; Pier Andrea Borea
Journal:  Pharmacol Ther       Date:  2003-10       Impact factor: 12.310

8.  Finding suitable targets is the major obstacle to cancer gene therapy.

Authors:  Steven A Rosenberg
Journal:  Cancer Gene Ther       Date:  2014-02       Impact factor: 5.987

9.  A1 adenosine receptor activation inhibits inflammation, necrosis, and apoptosis after renal ischemia-reperfusion injury in mice.

Authors:  H Thomas Lee; George Gallos; Samih H Nasr; Charles W Emala
Journal:  J Am Soc Nephrol       Date:  2004-01       Impact factor: 10.121

Review 10.  Apoptosis, autophagy, necroptosis, and cancer metastasis.

Authors:  Zhenyi Su; Zuozhang Yang; Yongqing Xu; Yongbin Chen; Qiang Yu
Journal:  Mol Cancer       Date:  2015-02-21       Impact factor: 27.401

View more
  6 in total

1.  Naphthazarin suppresses cell proliferation and induces apoptosis in human colorectal cancer cells via the B-cell lymphoma 2/B-cell associated X protein signaling pathway.

Authors:  Ai-Dong Chen; Hui Li; Yong-Chun Li; Hai Zeng
Journal:  Oncol Lett       Date:  2016-10-26       Impact factor: 2.967

2.  Mechanism of EGCG promoting apoptosis of MCF-7 cell line in human breast cancer.

Authors:  Chao-You Huang; Zheng Han; Xi Li; Hui-Hua Xie; Shan-Shan Zhu
Journal:  Oncol Lett       Date:  2017-07-20       Impact factor: 2.967

3.  Proline oxidase silencing induces proline-dependent pro-survival pathways in MCF-7 cells.

Authors:  Ilona Zareba; Katarzyna Celinska-Janowicz; Arkadiusz Surazynski; Wojciech Miltyk; Jerzy Palka
Journal:  Oncotarget       Date:  2018-02-09

Review 4.  Inhibition of the Adenosinergic Pathway in Cancer Rejuvenates Innate and Adaptive Immunity.

Authors:  Juliana Hofstätter Azambuja; Nils Ludwig; Elizandra Braganhol; Theresa L Whiteside
Journal:  Int J Mol Sci       Date:  2019-11-14       Impact factor: 5.923

Review 5.  Targeting the purinergic pathway in breast cancer and its therapeutic applications.

Authors:  Julia Beatrice de Araújo; Vanessa Vitória Kerkhoff; Sarah Franco Vieira de Oliveira Maciel; Débora Tavares de Resende E Silva
Journal:  Purinergic Signal       Date:  2021-02-12       Impact factor: 3.765

Review 6.  Involvement of adenosine signaling pathway in migraine pathophysiology: a systematic review of preclinical studies.

Authors:  Janu Thuraiaiyah; Lili Kokoti; Mohammad Al-Mahdi Al-Karagholi; Messoud Ashina
Journal:  J Headache Pain       Date:  2022-04-05       Impact factor: 7.277

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.