Journal of Oncology

Journal of Oncology / 2020 / Article
Special Issue

Role of Molecular Chaperones in Carcinogenesis: Mechanism, Diagnosis, and Treatment

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Research Article | Open Access

Volume 2020 |Article ID 2314693 | 9 pages | https://doi.org/10.1155/2020/2314693

Role of 17β-Estradiol on Cell Proliferation and Mitochondrial Fitness in Glioblastoma Cells

Academic Editor: Agata Grazia D’Amico
Received24 Sep 2019
Revised22 Nov 2019
Accepted16 Jan 2020
Published14 Feb 2020

Abstract

Gliomas are the most common primary tumors of the central nervous system (CNS) in the adult. Previous data showed that estrogen affects cancer cells, but its effect is cell-type-dependent and controversial. The present study aimed to analyze the effects of estradiol (E2, 5 nM) in human glioblastoma multiforme U87-MG cells and how it may impact on cell proliferation and mitochondrial fitness. We monitored cell proliferation by xCELLigence technology and mitochondrial fitness by assessing the expression of genes involved in mitochondrial biogenesis (PGC1α, SIRT1, and TFAM), oxidative phosphorylation (ND4, Cytb, COX-II, COX IV, NDUFA6, and ATP synthase), and dynamics (OPA1, MNF2, MNF1, and FIS1). Finally, we evaluated Nrf2 nuclear translocation by immunocytochemical analysis. Our results showed that E2 resulted in a significant increase in cell proliferation, with a significant increase in the expression of genes involved in various mechanisms of mitochondrial fitness. Finally, E2 treatment resulted in a significant increase of Nrf2 nuclear translocation with a significant increase in the expression of one of its target genes (i.e., heme oxygenase-1). Our results suggest that E2 promotes proliferation in glioblastoma cells and regulate the expression of genes involved in mitochondrial fitness and chemoresistance pathway.

1. Introduction

Gliomas are the most common primary tumors of the central nervous system (CNS) in the adult. Glioblastoma is the most frequent and aggressive brain tumor in humans with a median survival from 14 to 17 months after the diagnosis [1, 2]. Targeted therapies directed to ubiquitous cancer-associated targets (i.e., erlotinib and gefitinib) had limited success [35], further reinforcing the need for the identification of glioma-specific novel molecular targets. With the advent of new technologies, several recent studies have reiterated the importance of metabolic reprogramming in various cancers. The importance of glycolysis in the survival and progression of certain cancers is undeniable, and it is increasingly evident that cancer cells may use many alternative metabolic pathways to drive their phenotype [6]. Previous data showed that estrogen affects glioblastoma cells since certain glioblastomas express estrogen receptors (ERs) [7, 8]. Consistently with this evidence, the ER-modulator tamoxifen inhibits the growth of certain glioblastomas [911].

Furthermore, a previous study showed that high concentrations of 17-β-estradiol causes apoptosis in the human breast cancer cell line MCF-7: this result is not shown with low growth-stimulated conditions in the ER-negative human breast cancer cell line MDA-MB 231 [12]. In addition to its nuclear functions, estradiol also plays an essential role in the mitochondria. The mitochondrial electron transport chain comprises several complexes formed by proteins that are encoded by the nuclear or mitochondrial genome. Moreover, E2 plays a role in mitochondrial bioenergetic function, modulating the microviscosity of the inner membrane [13] and inducing mitochondrial biogenesis genes in hepatic cells [14]. Others reported that long-term E2 treatment increased nuclear respiratory factor-1 (NRF-1) protein in cerebral blood vessels of ovariectomized rats [15]. Interestingly, high estradiol concentrations (about 10-8 M) decrease the mitochondrial DNA contents, and ATP formation and these effects were not showed at minor concentrations [16, 17]. For this reason, in this work, we study the effect of estradiol at low concentrations.

Given that, estradiol may produce cell growth or death under different conditions, depending on the expression of ERs in the brain and other tissues and the concentration of estradiol [1820]. We analyzed the effects of estradiol in human glioblastoma multiforme U87-MG cells and how it may impact on cell proliferation and mitochondrial fitness.

2. Materials and Methods

2.1. Cell Culture and Pharmacological Treatments

Human glioblastoma cells (U87-MG) were purchased from ATCC Company (Milan, Italy). Cells were suspended in DMEM (Gibco, Cat. # 11965092) culture medium containing 10% fetal bovine serum (FBS, Gibco, category no. 10082147), 100 U/mL penicillin, and 100 U/mL streptomycin (Gibco, category no. 15070063). At 80% confluency, cells were passed using trypsin-EDTA solution (0.05% trypsin and 0.02% EDTA, Gibco, category no. 25300054) [21]. 20 μg/mL 17β-estradiol (E2) (category no. E2758 Sigma-Aldrich, Milan, Italy) solution was prepared in 1 mL absolute ethanol (category no. 51976 Sigma-Aldrich, Milan, Italy), and it was added separately to the cell culture of all experiments at final concentrations of 5.0 nM.

2.2. Real-Time Monitoring of Cell Proliferation

xCELLigence experiments were performed using the RTCA (Real-Time Cell Analyzer) DP (Dual Plate) instrument according to manufacturers’ instructions (Roche Applied Science, Mannheim, Germany, and ACEA Biosciences, San Diego, CA). The RTCA DP instrument includes three main components: (i) RTCA DP analyzer, which stays inside a humidified incubator maintained at 37°C and 5% CO2, (ii) RTCA control unit with RTCA software preinstalled, and (iii) E-plate 16 for proliferation assay. First, we defined the optimal seeding number by cell titration and growth experiments to obtain a significant cell index value and a constant cell growth (data not shown). We added 100 μl of cell culture media in the E-plate 16, and we left it in the tissue culture hood for 30 minutes at room temperature: this procedure ensures the equilibrium between the culture media and E-plate surface. We inserted the E-plate 16 into a cradle pocket of the RTCA DP analyzer, and we performed blank reading to measure the background impedance of cell culture media. We added 100 μl of a cell solution with a final concentration of 2500 cells/well in the E-plate 16, and, as recommended, we waited 30 minutes before starting the automatic monitoring every 15 min for 24 h.

2.3. Real-Time PCR for Gene Expression Analysis

RNA was extracted by Trizol® reagent (category no. 15596026, Invitrogen, Carlsbad, CA, USA). The first-strand cDNA was then synthesized with High-Capacity cDNA Reverse Transcription kit (category no. 4368814, Applied Biosystems, Foster City, CA, USA). High cDNA quality was checked, taking into consideration the housekeeping gene Ct values. Quantitative real-time PCR was performed in Step-One Fast Real-Time PCR system, Applied Biosystems, using the SYBR Green PCR MasterMix (category no. 4309155, Life Technologies, Monza, Italy). The specific PCR products were detected by the fluorescence of SYBR Green, the double-stranded DNA binding dye. Primers were designed using BLAST® (Basic Local Alignment Search Tool, NBCI, NIH), considering the shortest amplicon proposed: primers’ sequences are shown in Table 1, and β-actin was used as the housekeeping gene. Primers were purchased by Metabion International AG (Planneg, Germany). The relative mRNA expression level was calculated by the threshold cycle (Ct) value of each PCR product and normalized with β-actin by using a comparative 2‐ΔΔCt method.


Gene of interestForward primer (5′ ⟶  3′)Reverse primer (5′ ⟶ 3′)

PGC1αATGAAGGGTACTTTTCTGCCCCGGTCTTCACCAACCAGAGCA
SIRT1AGGCCACGGATAGGTCCATAGTGGAGGTATTGTTTCCGGC
TFAMCCGAGGTGGTTTTCATCTGTAGTCTTCAGCTTTTCCTGCG
ND4CCAGTGGAATGCCTTGCCTATTGATCGCGGTGAGATTCCC
CyBACGAGCCACCGAAACAGAATACGATTTTCGCCAGTCACCT
COX IIACGACCTCGATGTTGGATCAATCATTTACGGGGGAAGGCG
COX IVGCGGCAGAATGTTGGCTACAGACAGGTGCTTGACATGGG
NDUFA6CAGTCGGGACATGAACGAGGGAATTGGTGCACAGTGTTCG
ATP synthaseCCGCCTTCCGCGGTATAATCATGTACGCGGGCAATACCAT
OPA1AGGAGCTCATCTGTTTGGAGTCGCTCACCAAGCAGACCCTTT
MNF2GCGGAGACTCATAATGGCAGATCCGAGATAGCACCTCACCA
MNF1ATGCAGTGGGAGTCCGAGCCAGGGACATTGCGCTTCAC
FIS1AAGAAAGATGGACTCGTGGGCCCGCGTCTCCTTCAGGATTT
HO-1AAGACTGCGTTCCTGCTCAAGGGCAGAATCTTGCACTTTGT
β-ActinCCTTTGCCGATCCGCCGAACATGATCTGGGTCATCTTCTCGC

2.4. Immunocytochemistry

Cells were grown directly on coverslips before immunofluorescence and treated with 17β-estradiol (E2) at the final concentration of 5 nM. After washing with PBS, cells were fixed in 4% paraformaldehyde (category no. 1004968350 Sigma-Aldrich, Milan, Italy) for 20 min at room temperature. Subsequently, cells were incubated with primary antibody against TFAM at dilution 1 : 200, overnight at 4°C. The next day, cells were washed three times in PBS for 5 min and incubated with secondary antibodies: TRITC (anti-goat, Santa Cruz Biotechnology, Santa Cruz, CA, USA) at dilution 1 : 200 for 1 h at room temperature. The slides were mounted with medium containing DAPI (4′,6-diamidino-2phenylindole, category no. sc-3598, Santa Cruz Biotechnology, Santa Cruz, CA, USA) to visualize nuclei. The fluorescent images were obtained using a Zeiss Axio Imager Z1 microscope with Apotome 2 system (Zeiss, Milan, Italy). As a control, the specificity of immunostaining was verified by omitting incubation with the primary or secondary antibody. Immunoreactivity was evaluated considering the signal-to-noise ratio of immunofluorescence.

2.5. Statistical Analysis

Statistical analysis was performed using SPSS11.0 software. Statistical significance () of differences between experimental groups was determined by the Fisher method for analysis of multiple comparisons. For comparison between treatment groups, the null hypothesis was tested by either single-factor analysis of variance (ANOVA) for multiple groups or the unpaired t-test for two groups, and the data are presented as mean ± SD.

3. Results

3.1. E2 Induces Glioblastoma Cell Proliferation and Mitochondrial Metabolism Gene Expression

We firstly aimed at studying the effect of E2 on cell proliferation. As shown in Figure 1, E2 treatment resulted in a significant increase in cell proliferation in U87-MG cells, as showed by cell index performed by xCELLigence technology. Increased cell index was already significant following 3 hours () of treatment with E2, and such effect was still evident following 9 hours of treatment (). We, therefore, investigated the effect of E2 on mitochondrial metabolism concerning mitochondrial biogenesis, oxidative phosphorylation, and dynamics. As shown in Figure 2(a), E2 resulted in a significant increase of PGC1α gene expression following 1 hour of treatment (), and such an expression decreases in a time-dependent manner reaching the control levels following 24 h. Consistently, we observed a significant increase in two additional biomarkers of mitochondrial biogenesis (i.e., SIRT1 and TFAM) (Figures 2(b) and 2(c)). This set of experiments showed that E2 resulted in a significant () increase in SIRT1 and TFAM gene expression following 1 hour of E2 treatment, and such an increased expression was sustained during all other times of observation. As shown in Figure 3, E2 treatment also resulted in a significant change in the expression of genes involved in oxidative phosphorylation. E2 treatment significantly increased ND4, Cyb4, COXII, COXIV, COX, and NDUFA6 gene expression following 1-hour treatment of E2 (Figures 3(a)3(e)). Similarly, ATP synthase gene expression significantly increased treatment and peaked 3 h following E2 pharmacological treatment (Figure 3(f)). Besides, E2 exhibited a significant effect on the expression controlling mitochondrial dynamics. E2 treatment resulted in a significant () increase of OPA1, MNF2, and MNF1 gene expression following 1 hour of treatment (Figures 4(a)4(c)). Consistently, E2 treatment resulted in a significant () increase in FIS1 gene expression following 3 hours of E3 treatment (Figure 4(d)). Finally, these results were further confirmed by immunocytochemistry analysis, demonstrating increase TFAM protein expression and increased mitochondrial network as measured by mitotracker staining (Figures 5(a)5(d)).

3.2. E2 Induces Nrf2 Nuclear Translocation and Increases Heme Oxygenase-1 Expression

To assess the effect of E2 on the activation of pathways involved in chemoresistance mechanisms, we evaluated the nuclear translocation of Nrf2. Our data showed that E2 treatment resulted in a significant increase in nuclear translocation following 24 h treatment when compared to untreated cells (Figures 6(a) and 6(b)). Consistently with this observation, we also showed that HO-1, an Nrf2-targeted gene, was upregulated following E2 treatment () (Figure 6(a)).

4. Discussion

Previous studies showed that high concentrations of estradiol, under low growth-stimulated conditions, inhibit cell proliferation and increase apoptosis in ER-positive breast cancer cells through the sustained activation of the JNK pathway [12, 22]. These findings emphasize the basis for the antitumor effects of high-dose estrogen therapy in postmenopausal women approximately 40 years ago [20]. Recently, high concentrations of estradiol were shown to trigger apoptosis in adrenal carcinoma cells [23], indicating that the mechanisms of these cytotoxic effects of estradiol remain to be further elucidated. Glioblastomas are the most aggressive type of brain tumors, with a poor prognosis and a limited response to chemotherapy and other therapeutic strategies [24, 25]. Failure of therapy arises from the resistance of tumor cells to therapy-induced apoptosis [26]; therefore, new drugs targeting alternative pathways are required. In the present study, E2 induces cell proliferation and the expression of genes involved in mitochondrial metabolism in glioblastoma cells. Estradiol, the predominant form of estrogen, mediates its effects via the activation of intracellular signaling pathways on neurons and glial cells [27]. Previous studies concerning the effects of estrogens in cancer cells exhibited controversial results [28]. With regard to glioblastoma, epidemiological evidence suggests an E2 tumor suppressor role [29]. The rate of the development of glioblastoma is increased in men: women aged 15–49 years (women of reproductive age) have a survival advantage compared with men and postmenopausal women [2931]. These results suggest that estrogens are involvement in the suppression of glioblastoma, but how they could do it is poorly understood. By contrast, our data suggest that E2 induces cell proliferation in the U87-MG glioblastoma cell line. However, a different expression of ERβ may explain, at least in part, the discrepancy with previously published reports. In this regard, multiple ERβ isoforms exist and may have distinct roles in various cancers [3234]. The ERβ2 isoform is increased in chronic lymphatic leukemia, prostate cancer, non-small-cell lung cancer, breast cancer, and ovarian cancer [35]. The worsening disease-free survival and overall survival of patients were correlated with ERβ2 expression in patients treated with tamoxifen [36]. Moreover, ERβ2 is involved also in the metastasis of prostate cancer [37]. In addition, ERβ3 has restricted to testis [38]. ERβ5 is overexpressed in ovarian cancer and prostate cancer and associated with poor prognosis [39], while ERβ5 expression is associated with good prognosis in non-small-cell lung cancer and confers sensitivity to chemotherapeutic agent-induced apoptosis in breast cancer cells [39]. Several authors advanced that ERβ5 was highly expressed in primary and established GBM cells compared to ERβ1 and ERβ2, with ERβ4 [34, 40]. The data regarding the effect of E2 on glioblastoma progression are further supported by our results showing that E2 induces Nrf2 nuclear translocation and HO-1 expression. Estradiol also exerts nongenomic rapid actions via direct interaction of estradiol with plasma-associated ERs and the activation of second messenger pathways [41]. The late and sustained effects of estradiol described in this study suggest that nongenomic rapid actions of estradiol are not involved. In this regard, it has become evident that malignant cells benefit from having increased Nrf2 pathway activity: this was first observed in lung cancer [42], as well as subsequently in many other cancer types, such as pancreatic, ovarian, liver, and gallbladder cancers [43]. Aberrant Keap1-Nrf2 signaling leads to radio- and chemoresistance and provides a growth advantage to cancer cells, due to the constitutive expression of cytoprotective genes [44]. Multiple mechanisms for Nrf2 overactivation have been found, such as somatic mutations in either KEAP1 or NFE2L2, deletion of exon 2 of NFE2L2, aberrant expression of inhibitory proteins, and transcriptional induction by oncogenes and hormones [45]. Previous results demonstrated that, in GBM cells, inhibition of Nrf2 and p62 decreased tumorigenic properties, such as cell invasion and anchorage-independent growth [46]. Furthermore, Nrf2 could also function as a key balancing factor in metabolic reprogramming, as Nrf2 can regulate both energy metabolism and antioxidant response to ROS to favor glioma growth and development. Our results are consistent with these observations and showed that E2 resulted in a significant increase in the expression of genes involved in mitochondrial metabolism, biogenesis, and dynamics. Furthermore, our results showed that E2 resulted in a significant increase of HO-1, which is associated with increased chemoresistance and proliferative phenotype [47, 48], thus further confirming our observations. Our data showed that E2 plays an important role in GBM progression, improving the mitochondrial fitness, highlighting its role in resistant mechanisms to the therapies: this can lead to a new therapeutic strategy for future studies.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Disclosure

This work was part of the Ph.D. thesis of Dr. Carlo Castruccio Castracani (Neuroscience International Ph.D. program).

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

CCC, MA, and GLV made a substantial contribution to the concept and design, acquisition of data or analysis, and interpretation of data; GLV, CCC, and DT drafted the article and revised it critically for relevant intellectual content; LL, AD, DA, SK, MC, DT, RA, and GLV performed in vitro experiments; all the authors approved the final version of the manuscript. Carlo Castruccio Castracani, Lucia Longhitano, Daniele Tibullo, and Giovanni Li Volti contributed equally to this work.

Acknowledgments

This work was supported by the Research Funding for University of Catania, Italy (Piano per la Ricerca, FIR 2018-2020).

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Copyright © 2020 Carlo Castruccio Castracani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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