Literature DB >> 33569451

Stress-related hormone reduces autophagy through the regulation of phosphatidylethanolamine in breast cancer cells.

Zhen Zhu1, Ruihua Yu2, Chao Yang2, Dong Li2, Jiawei Wang1, Wanli Yang2, Yonghua Ji1,2, Li Wang2, Yaosheng Wang2, Feng Jiang2.   

Abstract

BACKGROUND: An increasing number of studies indicate that adrenergic signaling plays a fundamental role in tumor progression and metastasis induced by chronic stress. However, despite the growing attention, an understanding of the mechanisms linking chronic stress and cancer is still insufficient.
METHODS: Western blot analysis and transmission electron microscopy (TEM) were used to observe the changes in autophagy level in a breast cancer cell line (MCF-7) after epinephrine treatment. Non-targeted metabolomics was also used to detect MCF-7 metabolites after epinephrine treatment. The xenograft model was used to detect the level of autophagy after epinephrine intervention.
RESULTS: The results showed that epinephrine treatment reduced the autophagy level of breast cancer cells. Epinephrine changed the level of phosphatidylethanolamine (PE) in breast cancer cells as detected by non-targeted metabolomics. Epinephrine also changed autophagy in breast cancer cells by decreasing the level of PE in cells. When autophagy decreased, the invasion and migration of breast cancer cells increased in vitro, and the progression of breast cancer accelerated in vivo.
CONCLUSIONS: These findings suggest that stress-related hormones affect the tumor progression of breast cancer. Therefore, strengthening the emotional management strategies of patients during the process of antitumor treatment as a supplement to the existing treatments may be beneficial. 2021 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Chronic stress; autophagy; breast cancer; epinephrine

Year:  2021        PMID: 33569451      PMCID: PMC7867925          DOI: 10.21037/atm-20-8176

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Stress, whether physiological or biological, is the response of an organism to a stressor (such as environmental conditions) (1). Stress is how bodies adapt to a complicated environment through combat, escape, or physiological and psychological changes. Multiple systems in the body respond to stimuli and alterations in the environment. In humans and most mammals, the autonomic nervous system and the hypothalamic-pituitary-adrenal (HPA) axis are the two major systems that respond to stress (2). Chronic stress is the response to emotional pressure suffered for a prolonged period of time during which an individual perceives that they have little or no control. The sympathetic and parasympathetic nervous systems govern the functioning of most internal organs. These nerves play an important role in maintaining homeostasis by directly innervating tissues or secreting neurotransmitters such as epinephrine, norepinephrine, and acetylcholine (3). Several studies have shown that chronic stress affects the occurrence and development of some tumors by inducing the release of neurotransmitters (4-7), such as epinephrine, norepinephrine and glucocorticoid. On the other hand, life care and emotional management for cancer patients can effectively prolong patients’ survival, and some animal model and human based studies have confirmed the link between stress reduction and cancer inhibition (8-12). The influence of chronic stress on tumor development has therefore become of increasing concern. Breast cancer is the leading cause of cancer death in women worldwide (13). Despite some progress in diagnosis and treatment, a large number of women still die of metastatic breast cancer (14). Patients with breast cancer, especially those diagnosed with advanced breast cancer, rarely receive an optimistic prognosis. Therefore, a more detailed understanding of the molecular mechanisms of the growth and diffusion of breast cancer cells is needed to develop and improve treatment strategies for breast cancer. In the past decade, metabolomics has emerged as a powerful tool to understand the metabolic changes, particularly in small molecules (<1,000 Da), that occur in response to pathophysiological conditions (15). To detect changes in cellular metabolites, liquid chromatography in conjunction with mass spectrometry techniques can accurately and effectively detect a large number of isolated cellular metabolites (16). Analysis of changes in these metabolites can allow us to quickly determine the changes in the external environment that have affected the interior of the cell, and thus, more intuitively study and explain many physiological phenomena. In recent years, metabolomics has been widely applied to toxicology, organic acid disorders, and whole-body metabolic disorders (17). However, to the best of our knowledge, few studies have used this method to understand the internal changes in tumor cells in a particular physiological state. In contrast to the process of programmed cell death (apoptosis), autophagy is a process of programmed cell survival (18). Cells degrade and reuse their organelles and components of proteins to meet their metabolic needs and to renew organelles. In 1999, a landmark discovery connecting autophagy with cancer was published by Beth Levine’s group (19). Autophagy has been considered an accomplice of tumor cells, enabling them to attain an unlimited ability to replicate, though recent basic research has shown that autophagy decreases the occurrence of tumors (20). Autophagy may be involved in immortalization in maintaining cell survival, so autophagy plays distinct roles in different time points of tumor development. However, insufficient attention has been paid to the effects of neurotransmitters on tumors. In this study, the effect of adrenergic receptor activation on the internal production of metabolites in breast cancer was explored through in vitro culture of breast cancer cell lines, and metabolomics. After tumor cells were treated with drugs, metabolites were analyzed to determine their influence on tumor progression, as well as the in vivo regulation of microenvironmental homeostasis by tumor cells under different physiological conditions. We present the following article in accordance with the ARRIVE reporting checklist (available at http://dx.doi.org/10.21037/atm-20-8176).

Methods

Cell culture

The human breast cancer cell line MCF-7 was purchased from the Cell Bank (Shanghai Institutes for Biological Sciences and Chinese Academy of Sciences). Cells were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM, Gibco, 11965-092) supplemented with antibiotics and 10% heat-inactivated fetal bovine serum (Gibco, 16000-044) at 37 °C in a humidified atmosphere of 5% CO2.

Sample processing and analysis of ultra-performance liquid chromatography linked with mass spectrometry (LC-MS)

Cells from each group were calculated accurately, and equal amounts were added to 400 µL of prechilled methanol solution (methanol:water =4:1) and disrupted using a low-temperature, high-throughput tissue homogenizer. Samples were then vortexed and ultrasonically extracted on ice for 10 min, and this process was repeated 3 times. The extracted sample was allowed to stand at −20 °C for 30 min and then centrifuged (13,000 g) for 15 min at 4 °C. The supernatant was transferred to the container for testing. LC-MS was performed, and the system of the analysis platform was UPLC-TripleTOF (Co., AB SCIEX). A BEH C18 column (100 mm × 2.1 mm i.d., 1.7 µm; Waters, Milford, USA) was used. Mobile phase A was water (0.1% methanoic acid), while mobile phase B was acetonitrile and isopropanol (acetonitrile:isopropanol =1:1). The mobile phase flow rate was set at 0.40 ml/min, and the injection volume was 20 µL at 40 °C. Mass spectrum signals were collected from samples in positive and negative scan modes. The electrospray capillary voltage, injection voltage, and collision energy were 1.0 kV, 40 V, and 6 eV, respectively. The ion source temperature and desolvation temperatures were 120 and 500 °C, respectively. The carrier gas flow rate was 900 L/h, the mass scan range was 50–1,000 m/z, and the resolution was 30,000.

Cell migration assay

MCF-7 cells were seeded at a density of 2×104 cells per well into a 6-well plate. Cells were pretreated with or without propranolol for 45 min, and then with or without epinephrine. After 24 h, the cells were washed with PBS 3 times. Cells in the denuded zone of 10 random fields were quantified using an inverted fluorescence microscope. The migration indices were calculated as follows: [(At=0h-At=Δh)/At=0 h] ×100%, where “At=0 h” is the area of the wound measured immediately after scratching, and “At=Δh” is the area of the wound at the time point 24 h after scratching.

Cell invasion assay

MCF-7 cells (3×103) in 200 µL DMEM without fetal bovine serum were placed in the upper chamber of a transwell insert (24 wells, 8 µm pore size; Corning Costar) coated with Matrigel (Corning, 356237). The lower chambers were loaded with 10 µM epinephrine (Sigma, E4642) or 20 µM propranolol (Sigma, P0884) in 500 µL DMEM with 10% fetal bovine serum or culture medium only as a control. After incubation at 37 °C for 24 h, cells were removed from the upper chamber using a cotton swab, and the cells on the lower membrane surface were fixed with 4% formalin, stained with 0.1% crystal violet for visualization, and counted under a microscope (Leica).

Protein extraction and western blot

Total protein was collected from 5×108 MCF-7 cells by lysis in 200 µL of ice-cold RIPA buffer with PMSF. The extracted protein concentration was determined using the BCA Protein Assay (Beyotime, P0009). Approximately 30 µg protein was loaded into each well of a polyacrylamide-SDS gel. After electrophoresis, proteins were transferred onto PVDF membranes (Thermo Fisher). The membranes were initially blocked with 5% non-fat dry milk in tris-buffered saline for 1 h at room temperature, and then incubated with the primary antibody overnight at 4 °C. This was followed by incubation with the secondary antibody for 2 h. Immunoreactive bands were detected with Trident ECL (Beyotime, P0018FM).

Xenograft tumor model

The xenograft model experiment was performed with nude mice (14–16 g) purchased from Sino-British SIPPR/BK Lab Animal Co. Mice were housed at 5 mice per cage and maintained on a 12 h light:12 h dark cycle (lights on at 8.00 a.m.) at 22±2 °C, and were provided with food and water ad libitum. All animal procedures complied with a protocol approved by the ethics committee of the Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Chongming Branch (No. LLWYH-2016-13). All procedures were performed following the Guide for the Care and Use of Laboratory Animals and complied with institutional ethical guidelines. After 1 week of acclimation to the housing conditions, mice were injected subcutaneously with 1×107 MCF-7 cells suspended in 0.2 mL of PBS. Prior to implantation, we confirmed that the tumor cells were negative for the presence of mycoplasma and mouse pathogens. The drug was administered when the tumor grew to 300 mm3, and mice were treated with epinephrine (E) 10 mg/kg and propranolol (Pro) 2 mg/kg respectively or both. All treatments were administered by intraperitoneal injection in a total volume of 100 µl every other day for 10 days. Tumor growth was measured twice a week with a digital caliper 2BIOL (Besozzo). Xenograft volumes were calculated using the following formula: volume = (a × b2)/2, where a is the largest superficial diameter, and b is the smallest superficial diameter.

Transmission electron microscopy

MCF-7 cells and tumor samples were isolated at a size of no >1 mm3 and fixed with 2.5% glutaraldehyde at 4 °C for 4 h. Post-fixation, the samples were dehydrated with a graded series of ethanol (30%, 50%, 70%, 80%, 90%, 95% and 100%) and propylene oxide and then were embedded in an epoxy resin. The embedded samples were then processed for transmission electron microscopy following standard procedures. Finally, the ultrathin sections were examined with an HT7700 electron microscope (HITACHI).

Statistical analysis

The collected data were analyzed using IBM SPSS Statistics 22. Data are presented as the mean ± standard deviation (SD). Two groups were compared using the Student’s t-test. P<0.05 was consid­ered significant (*P<0.05, ***P<0.001). All experiments were repeated at least 3 times, and representative data are shown.

Results

PE level is decreased by epinephrine treatment

Previous research has reported that epinephrine alters the cell cycle and the occurrence of apoptosis in breast cancer cells (21). In this study, to further explore the effect of epinephrine on MCF-7 cells, we examined the changes in the total metabolites of MCF-7 cells after epinephrine treatment. The results of each group of samples were highly stable (), and the species () of 961 changed metabolites () were classified according to the Human Metabolome Database (HMDB 4.0) database. In addition, we found that PE level in MCF-7 cells after epinephrine treatment decreased significantly (). PE plays a key role in lysosomal maturation in cell autophagy, which mainly involves the localization between autophagosomes and lysosomes.
Figure 1

Phosphatidylethanolamine (PE) level is decreased by epinephrine treatment in MCF-7 cells. (A) The sample correlation heatmap and (B) principal component analysis (PCA) of MCF-7 cells after epinephrine treatment. (C) Compared with the HDMB database, metabolite classification information was obtained. 1. Carboxylic acids and derivatives: 25.00%; 2. Glycerophospholipids: 20.45%; 3. Fatty acyls: 18.18%; 4. Prenol lipids: 9.09%; 5. Benzodioxoles: 2.27%; 6. Carbonyl compounds: 2.27%; 7. Cinnamic acids and derivatives: 2.27%; 8. Halohydrins: 2.27%; 9. Indoles and derivatives: 2.27%; 10. Organonitrogen compounds: 2.27%; 11. Organooxygen compounds: 2.27%; 12. Phenanthrenes and derivatives: 2.27%; 13. Pteridines and derivatives: 2.27%; 14. Purine nucleotides: 2.27%; 15. Pyrrolidines: 2.27%; 16. Sphingolipids: 2.27%. (D) Volcano plot showing the fold changes and p-values of 961 kinds of significant changes (red, P<0.05) in all of the metabolites (blue) of MCF-7 cells. (E) The significant decrease in PE between the control group (n=6) and epinephrine group (n=6). ***P<0.001.

Phosphatidylethanolamine (PE) level is decreased by epinephrine treatment in MCF-7 cells. (A) The sample correlation heatmap and (B) principal component analysis (PCA) of MCF-7 cells after epinephrine treatment. (C) Compared with the HDMB database, metabolite classification information was obtained. 1. Carboxylic acids and derivatives: 25.00%; 2. Glycerophospholipids: 20.45%; 3. Fatty acyls: 18.18%; 4. Prenol lipids: 9.09%; 5. Benzodioxoles: 2.27%; 6. Carbonyl compounds: 2.27%; 7. Cinnamic acids and derivatives: 2.27%; 8. Halohydrins: 2.27%; 9. Indoles and derivatives: 2.27%; 10. Organonitrogen compounds: 2.27%; 11. Organooxygen compounds: 2.27%; 12. Phenanthrenes and derivatives: 2.27%; 13. Pteridines and derivatives: 2.27%; 14. Purine nucleotides: 2.27%; 15. Pyrrolidines: 2.27%; 16. Sphingolipids: 2.27%. (D) Volcano plot showing the fold changes and p-values of 961 kinds of significant changes (red, P<0.05) in all of the metabolites (blue) of MCF-7 cells. (E) The significant decrease in PE between the control group (n=6) and epinephrine group (n=6). ***P<0.001.

Effect of epinephrine on the level of autophagy in MCF-7 cells

We examined autophagy-related indicators in MCF-7 cells in vitro following epinephrine treatment. The results showed that epinephrine significantly increased the expression of p62 and decreased the ratio of LC3 II/I in MCF-7 cells (). The results of transmission electron microscopy (TEM) () showed that epinephrine significantly increased the number of autophagosomes () and decreased the number of autolysosomes () in breast cancer cells, confirming that epinephrine significantly altered the level of autophagy in MCF-7 cells under our experimental conditions.
Figure 2

Epinephrine reduces autophagy in breast cancer. The protein expression of LC3 (A) and p62 (B) in a breast cancer cell line (MCF-7) treated with or without epinephrine (E, 10 mM) and propranolol (Pro, 20 mM) for 24 h was measured by western blot. (C) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. The cells were stained with uranium acetate and lead citrate. An autophagosome (initial autophagic vacuoles, AVi) is a spherical structure with a double layer membrane, delivering cytoplasmic components to lysosomes after formation. Autophagosomes bind to lysosomes to form a monolayer structure of autolysosomes (degrading autophagic vacuoles, AVd), and the hydrolase degrades its contents and intima. AVi (D) and AVd (E) were calculated per cell, and 6 cells were analyzed per treatment condition. *P<0.05.

Epinephrine reduces autophagy in breast cancer. The protein expression of LC3 (A) and p62 (B) in a breast cancer cell line (MCF-7) treated with or without epinephrine (E, 10 mM) and propranolol (Pro, 20 mM) for 24 h was measured by western blot. (C) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. The cells were stained with uranium acetate and lead citrate. An autophagosome (initial autophagic vacuoles, AVi) is a spherical structure with a double layer membrane, delivering cytoplasmic components to lysosomes after formation. Autophagosomes bind to lysosomes to form a monolayer structure of autolysosomes (degrading autophagic vacuoles, AVd), and the hydrolase degrades its contents and intima. AVi (D) and AVd (E) were calculated per cell, and 6 cells were analyzed per treatment condition. *P<0.05.

PE regulates the level of autophagy in MCF-7 cells in a dose-dependent manner

The method of Rockenfeller et al. was used as a reference for this experiment (22). The PE pool in the cells was improved by adding ethanolamine. The change of PE in MCF-7 cells resulted in a change in the autophagy level, and changes in autophagosomes were observed by TEM (). Moreover, western blot analysis showed that the increase in PE concentration led to a significant increase in the ratio of LC3 II/I () and a significant decrease in p62 () in MCF-7 cells. Epinephrine treatment significantly reversed these changes. In terms of MCF-7 cell activity, the increase in PE concentration significantly inhibited cell migration () and invasion (), which could also be rescued by epinephrine.
Figure 3

Phosphatidylethanolamine (PE) regulates the level of autophagy in MCF-7 cells. (A) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. The cells were stained with uranium acetate and lead citrate. AVi (B) and AVd (C) were calculated per cell, and 6 cells were analyzed per treatment condition. The protein expression of LC3 (D) and p62 (E) in a breast cancer cell line (MCF-7) treated with or without epinephrine (E, 10 mM) and ethanolamine (Eth, 10 or 20 mM) for 24 h was measured by western blot. (F) The migration ability was measured (G) by wound-healing assay. (H) The cells were stained with crystal violet and invasive ability was measured (I) by Transwell assay. *P<0.05.

Phosphatidylethanolamine (PE) regulates the level of autophagy in MCF-7 cells. (A) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. The cells were stained with uranium acetate and lead citrate. AVi (B) and AVd (C) were calculated per cell, and 6 cells were analyzed per treatment condition. The protein expression of LC3 (D) and p62 (E) in a breast cancer cell line (MCF-7) treated with or without epinephrine (E, 10 mM) and ethanolamine (Eth, 10 or 20 mM) for 24 h was measured by western blot. (F) The migration ability was measured (G) by wound-healing assay. (H) The cells were stained with crystal violet and invasive ability was measured (I) by Transwell assay. *P<0.05.

Epinephrine affects the malignancy of breast cancer, partly through autophagy

To determine whether the increase in epinephrine affected the malignancy of breast cancer by changing the level of PE in tumor cells, we verified the above findings in vivo. Following epinephrine treatment, the autophagy level of MCF-7 xenograft tumors increased significantly (), and propranolol rescued the changes in the LC3 II/I ratio and p62 induced by epinephrine (). Moreover, epinephrine affected the level of tumor malignancy and promoted tumor progression, and propranolol also rescued this phenomenon (). These results indicate that epinephrine changes PE level in MCF-7 cells, which leads to changes in autophagy level.
Figure 4

Epinephrine affects the malignancy of breast cancer partly through autophagy. (A) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. Tissues was stained with uranium acetate and lead citrate. AVi (B) and AVd (C) were calculated for every tumor. The protein expression of LC3 (D) and p62 (E) in groups of tumors treated with or without epinephrine (E, 10 mg/kg) and propranolol (Pro, 2 mg/kg) for 24 h was measured by western blot. (F) Nude mouse xenograft model tumors between groups, including their volume (G) and weight (H). *P<0.05.

Epinephrine affects the malignancy of breast cancer partly through autophagy. (A) Representative transmission electron microscopy (TEM) images depicting the ultrastructures of cells in the different groups. Tissues was stained with uranium acetate and lead citrate. AVi (B) and AVd (C) were calculated for every tumor. The protein expression of LC3 (D) and p62 (E) in groups of tumors treated with or without epinephrine (E, 10 mg/kg) and propranolol (Pro, 2 mg/kg) for 24 h was measured by western blot. (F) Nude mouse xenograft model tumors between groups, including their volume (G) and weight (H). *P<0.05.

Discussion

Neurotransmitters, hormones, and signaling molecules have been shown to bridge the gap between nerves and tumors, and affect the growth and malignancy of tumor cells. For example, sympathetic and parasympathetic nerves can infiltrate the tumor microenvironment and actively stimulate the progression of cancer (23-26). In recent years, as medical treatments have progressed, the psychological health and quality of life of cancer patients during the treatment process have been widely discussed (27). Chronic stress affects the function of the nervous, immune, and endocrine systems. Moreover, some studies have shown that tumor innervation is a part of the tumor microenvironment, and the regulation of the nervous system affects the development of tumor cells (28,29). For example, in clinical antitumor treatment, doctors often use surgery to destroy the nerve plexus near the tumor to relieve cancer pain and tumor progression (30,31). Following the diagnosis of a malignant tumor, fears of cancer and the side effects of antitumor treatment lead to suffering and chronic stress in cancer patients (32). It is now well-established that psychological stress is associated with detrimental effects on physical health, and cancer is also affected by stress. Some literatures show that women with negative emotions are more likely to suffer from cancer (33,34), so there may be a vicious circle between chronic stress and cancer occurrence and development. In addition, cellular autophagy has been shown to be related to anti-immortalization. Nassour and his team reported that autophagy is one of the key checkpoints of normal cell carcinogenesis, which is also related to the progression of tumor cells and may be affected by signal transduction (20). Under our experimental conditions, the concentration of PE in cells decreased significantly after the activation of the adrenergic receptor, which further affected cell mobility and malignancy by changing autophagy level. Epinephrine may potentially mediate tumor progression by directly affecting the process of LC3 modification in breast cancer patients experiencing chronic stress. In breast cancer autophagy, PE participated in the key step of the localization of autophagosomes to lysosomes, which is necessary for LC3 lipidation. Because the downstream effect of adrenergic receptor signaling on the rate-limiting enzyme in PE synthesis and the synthetic cycle of PE in normal cells (35) is still unclear, the current results have some limitations. Our study referred to some clinical statistics, including the effect of β-blockers on tumor progression (36,37). Although related drugs have not yet been used directly to treat breast cancer, some preclinical studies in other tumor types validate the possibility of β-blockers as adjuvant anticancer therapy (38,39). Indeed, the current data only reflect the role of β-receptors. More experiments specifically targeting α-receptors should be designed and validated in the future to confirm whether the α-receptors play roles in this process. Taken together, our data showed that activation of the adrenergic receptor decreased the concentration of PE and affected autophagy in breast cancer cells, and promoted the invasion and migration of breast cancer cells. These data contribute towards a better understanding of the impact of chronic stress on the progression of breast cancer, and indicate that adrenergic receptor blockers may be effective for controlling the progression of breast cancer and improving the prognosis of patients. The article’s supplementary files as
  38 in total

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