Curcumin induces apoptosis and inhibits the growth of adrenocortical carcinoma: Identification of potential candidate genes and pathways by transcriptome analysis
- Authors:
- Published online on: April 15, 2021 https://doi.org/10.3892/ol.2021.12737
- Article Number: 476
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Copyright: © Huang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Adrenocortical carcinoma (ACC) is an endocrine tumour with high malignancy, invasiveness and recurrence rate, and has a poor prognosis (1). The majority of patients are diagnosed at an advanced stage with invasion of adjacent organs or metastatic disease (2). Currently, complete resection is the only feasible method to treat ACC. However, the prognosis of patients with relapsed or metastatic disease is unfavourable as patients with metastatic ACC have an overall 5-year survival rate of <20% (3). Chemotherapy remains an effective method of adjuvant therapy in patients with a high risk of relapse and metastasis, and mitotane is the only drug approved for the systemic treatment of ACC (4). However, mitotane has a narrow therapeutic range, poor bioavailability and side effects (5). Long-term treatment causes obvious adverse toxic effects, such as adrenal insufficiency, sexual dysfunction, hypothyroidism and neurotoxicity (6–8). Moreover, mitotane cannot improve long-term survival rates for patients with metastatic ACC or inoperable ACC, although it may delay tumour progression (9). Therefore, safe treatment strategies to overcome drug tolerance and minimize side effects are needed to improve ACC treatment.
Curcumin is a plant polyphenolic compound and a major component in turmeric (Curcuma longa) (10). Curcumin has been reported to have good efficacy and biological safety for treating cancer, with targeted inhibitory effects on gastric, colorectal, breast and cervical cancer (11–14). Curcumin induces the apoptosis of colon cancer cells with wild-type p53 and mutant p53 in a dose- and time-dependent manner (15). In addition, curcumin inhibits the nuclear translocation of NF-κB through the inhibition of IκB kinase, leading to apoptosis of prostate carcinoma cells (16) and inducing apoptosis associated with endoplasmic reticulum (ER) stress in lung cancer cells (17). Moreover, curcumin induces cytotoxic effects in papillary thyroid cancer and cancer stem-like cells by targeting the JAK/STAT3 signalling pathway (18). In addition, clinical trials have indicated that curcumin is safe and exhibits therapeutic efficacy in patients with progressive, advanced types of cancer. A study by Sharma et al (19) indicated that curcumin extract may be administered safely for several months at daily doses of up to 2.2 g (equivalent to 180 mg of curcumin), resulting in a clinical benefit in patients with advanced colorectal cancer. Curcumin also has anticancer activity and is tolerated and safe in patients with breast and prostate cancer (20,21). However, whether curcumin can induce apoptosis of ACC cells or inhibit tumour growth is unclear, and the possible mechanisms remain undefined.
The current study evaluated the effect of curcumin on ACC and analysed the underlying mechanisms by high-throughput sequencing. The systemic analysis of curcumin-induced whole-transcriptome alterations provided precise molecular targets and signalling pathways, contributing to the improved application of curcumin for ACC treatment.
Materials and methods
Cell culture and drugs
The human SW-13 cell line was purchased from the National Collection of Authenticated Cell Cultures, Chinese Academy of Sciences (cat. no. TCHu221). The human NCI-H295R cell line was purchased from American Type Culture Collection (cat. no. ATCC® CRL-2128™). The cells were cultured in high glucose DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) and 1% penicillin-streptomycin solution (Beijing Solarbio Science & Technology Co., Ltd.). Mycoplasma testing was routinely carried out to ensure that the cell lines were mycoplasma-free. Cells were cultured in an incubator containing 5% CO2 at 37°C. Curcumin was purchased from Sigma-Aldrich; Merck KGaA, dissolved in DMSO and then diluted in DMEM to the desired concentrations.
Cell viability assay
SW-13 and NCI-H295R cells were plated in 96-well plates at a density of 5×103 cells/well. Cells were allowed to attach overnight. The following day, cells were treated with 0, 10, 20, 30, 40, 50, 60, 80 or 100 µM curcumin for 24 or 48 h at 37°C. Cell viability was then measured with a Cell Counting Kit-8 (CCK-8) assay (Dojindo Molecular Technologies, Inc.). Briefly, CCK-8 solution (10 µl) was added to each well and incubated for an additional 1 h at 37°C, optical density values at 450 nm were assessed using a microplate reader (Fluoroskan Ascent™; Thermo Fisher Scientific, Inc.). The half-maximal inhibitory concentration (IC50) values were calculated by SPSS v20.0 software (IBM Corp.)
Transwell migration and invasion assays
SW-13 and NCI-H295R cells were treated with 0, 20, 30 or 40 µM curcumin for 24 h at 37°C. For the migration assay, 2×105 cells suspended in serum-free medium were seeded in the upper compartment of Transwell chambers (Corning, Inc.). Subsequently, 500 µl medium containing 10% FBS was added to the lower compartment. For the invasion assay, the upper chambers were coated with Matrigel for 30 min at 37°C (Corning, Inc.). After incubation for 24 h at 37°C in 5% CO2, the cells on the upper chambers were removed using a cotton swab, and the filters were washed with PBS. Cells that migrated to the bottom side of the membrane were fixed with 4% paraformaldehyde for 15 min at room temperature and stained with 0.1% crystal violet for 15 min at room temperature. Images were captured under a light microscope at a magnification of ×100 (Nikon Corporation) and counted in five randomly selected visual fields using ImageJ software version 1.8.0 (National Institutes of Health).
Flow cytometry analyses of apoptosis
SW-13 and NCI-H295R cells were treated with 0, 20, 30 or 40 µM curcumin for 24 h at 37°C. Cells were harvested and resuspended in binding buffer at a concentration of 1×106 cells/ml. Subsequently, 100 µl cell suspension, 5 µl Annexin V-APC and 5 µl 7-AAD (BD Biosciences) solution were added to a culture tube and incubated for 15 min in the dark at room temperature. After 400 µl binding buffer was added to each tube, apoptosis was analysed with a FACSCalibur™ flow cytometer (BD Biosciences). Data were analysed with FlowJo v10.5.3 software (FlowJo LLC).
RNA library preparation, high-throughput sequencing and RNA sequencing (RNA-seq) data analysis
Total RNA was extracted from control- and curcumin-treated groups of ACC SW-13 cells using TRIzol® (Takara Biotechnology Co., Ltd.). PCR amplification, product purification and quantification, and sequencing were carried out on the Illumina HiSeq platform at Sangon Biotech Co., Ltd. The RNA concentration was measured using a Qubit® RNA Assay kit (Life Technologies, Inc.) on a Qubit® 2.0 fluorometer (Thermo Fisher Scientific, Inc.), and the RNA integrity was assessed using an RNA Nano 6000 Assay kit on the Bioanalyser 2100 system (both from Agilent Technologies, Inc.). A total of 2 µg of RNA per sample was used as the input material, and mRNA was purified from total RNA using poly-T oligo-attached magnetic beads. Sequencing libraries were generated using the Hieff NGS™ MaxUp Dual-mode mRNA Library Prep Kit for Illumina® (Yeasen Biotech, Inc.) according to the manufacturer's protocol. PCR was performed with Phusion High-Fidelity DNA polymerase, Universal PCR primers and Index (X) Primer. Finally, the products were purified (AMPure XP system), and the library quality was assessed on the Agilent Bioanalyser 2100 system. Paired-end sequencing of the library was performed on HiSeq XTen sequencers (Illumina, Inc.), and the quality of the sequencing data was evaluated with FastQC (version 0.11.2). The significant differentially expressed genes (DEGs) were determined using a of false discovery rate (FDR) corrected P-value <0.05 and a fold change >2 as the threshold. Gene Ontology (GO) enrichment was performed with TopGO (version 2.24.0). Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed with ClusterProfiler (version 3.0.5), and a protein-protein interaction (PPI) network was constructed with the R igraph package and the STRING database (http://string-db.org).
Reverse transcription-quantitative (RT-q)PCR
After total RNA was extracted from ACC SW-13 cells, NCI-H295R cells and xenograft tumour tissues using TRIzol®, and cDNA was synthesised using the Takara RT kit (Takara Biotechnology Co., Ltd.) at 37°C for 15 min, 85°C for 5 sec, and stored at 4°C until subsequent experimentation. Next, mRNA expression levels were measured via qPCR using SYBR®-Green PCR Master Mix (Takara Biotechnology Co., Ltd.) in an Applied Biosystems 7500 Real-Time PCR system (Thermo Fisher Scientific, Inc.). The thermocycling conditions were 95°C for 30 sec, followed by 40 cycles at 95°C for 5 sec and 60°C for 34 sec. GAPDH was selected as the reference gene and expression levels were calculated according to the 2−ΔΔCq method (22). The primer sequences used are listed in Tables I and II.
Western blotting
Cells or tumour tissues were lysed with RIPA lysis buffer containing 1 mM PMSF (Beijing Solarbio Science and Technology Co., Ltd.). Protein concentrations were determined with a BCA protein assay kit (Beyotime Institute of Biotechnology). A total of 50 µg of total protein was separated using 10 or 12% SDS-PAGE and transferred to PVDF membranes (MilliporeSigma). Membranes were blocked with 5% non-fat milk for 1 h at room temperature. Subsequently, primary antibodies specific for JNK (cat. no. 9252), phosphorylated (p)-JNK (cat. no. 4668), p38 (cat. no. 9212), p-p38 (cat. no. 4511), c-Jun (cat. no. 9165), Bax (cat. no. 2772), Bcl-2 (cat. no. 3498) (all 1:1,000; Cell Signaling Technology, Inc.), heat shock protein 70 (HSP70; cat. no. 48597), c-Fos (cat. no. 49310), activating transcription factor 4 (ATF4; cat. no. 49174) and C/EBP homologous protein (CHOP; cat. no. 49418) (all 1:1,000; Signalway Antibody LLC) were added, and membranes were incubated overnight at 4°C. After washing with 0.1% TBS-Tween-20, horseradish peroxidase-conjugated secondary antibodies (1:10,000; cat. no. L3012; Signalway Antibody LLC) were added for 1 h at room temperature. Protein bands were visualised using an Odyssey infrared laser scanner (LI-COR Biosciences) and analysed with ImageJ software v1.8.0 (National Institutes of Health). Membranes were also probed with an antibody specific for GAPDH (cat. no. 21612; 1:10,000; Signalway Antibody LLC), which was used as the loading control.
Lentiviral transfection
CHOP knockdown and negative control (GV493, scrambled sequence) lentiviruses were designed and synthesized by Shanghai GeneChem Co., Ltd. The selected targeting sequence of CHOP (CHOP shRNA) was CGAATGGTGAATCTGCACCAA, and the sequence of the negative control vector (NC) was TTCTCCGAACGTGTCACGT. SW-13 cells were plated into 12-well plates at a density of 1×105 cells/well and incubated overnight. Subsequently, the medium was replaced with medium containing lentivirus (CHOP shRNA or NC, MOI=50). After 12 h, the medium was replaced with DMEM supplemented with 10% FBS, and the expression of green fluorescent protein was observed using fluorescence microscopy at a magnification of ×200 (Nikon Corporation) after 72 h. The cells were selected with 2 µg/ml puromycin (Beijing Solarbio Science & Technology Co., Ltd.) for 24 h at 37°C to kill the non-transfected cells. Finally, the medium was replaced with complete medium. RT-qPCR and western blot analyses were performed to determine the efficiency of CHOP knockdown.
Xenograft transplantation and therapy
BALB/c nude male mice (4-week-old; 18–20 g; n=8) were obtained from the Experimental Animal Center of Guangxi Medical University (Nanning, China) and raised under standard conditions (20-26°C temperature; 40–60% humidity; 12 h light/12 h dark cycle; food, drinking water and litter changed every 2 days) in the Experimental Animal Center of Guangxi Medical University (Nanning, China). All animal experiments were approved by the Animal Ethics and Welfare Committee of Guangxi Medical University. A total of 2×106 SW-13 cells in 100 µl PBS per mouse were injected subcutaneously into the right flank. The tumours were measured every other day, and the tumour volumes were calculated with the following formula: Volume = length × width2 × 1/2. When the tumour volumes were 100 mm3, the mice were randomly divided into three groups of eight mice per group. Curcumin dissolved in olive oil (50 or 100 mg/kg) was administered via intraperitoneal injection to mice once daily for 2 weeks, while mice in the control group received injections of olive oil. At the end of treatment, the mice were anaesthetised with 1% sodium pentobarbital and then sacrificed using cervical dislocation. The tumours were removed and weighed for subsequent studies.
Electron microscopy
Tumour tissues were fixed with phosphate buffer (pH 7.4) containing 2.5% glutaraldehyde overnight at 4°C. Tissues were then post-fixed with 1% OsO4 for 1 h at room temperature, stained with 1% uranyl acetate for 1 h at room temperature, dehydrated through graded acetone solutions and embedded in Epon overnight at room temperature. Areas containing tissues were mounted in blocks and sliced into 70-nm-thick sections. Sections were examined under a transmission electron microscope (HT 7800; Hitachi Ltd.) at a magnification of ×2,500 or ×7,000.
Statistical analysis
Data are presented as the mean ± SD and were analysed using SPSS v20.0 software (IBM Corp.). One-way ANOVA combined with Bonferroni's post-hoc test was employed to analyse the differences between sets of data. P<0.05 was considered to indicate a statistically significant difference.
Results
Curcumin inhibits the viability, migration and invasion of ACC cells
The CCK-8 assay was used to evaluate the viability of SW-13 and NCI-H295R cells. SW-13 and NCI-H295R cells were exposed to various concentrations of curcumin (0, 10, 20, 30, 40, 50, 60, 80 or 100 µM) for 24 or 48 h. As shown in Fig. 1A, cell viability decreased significantly in a concentration-dependent manner. The IC50 values for curcumin in SW-13 and NCI-H295R cells were 50.809±1.706 and 59.271±1.773 at 24 h and 35.917±1.555 and 42.317±1.627 at 48 h, respectively (Table III). In the cell motility assay, both the migration and invasion of SW-13 and NCI-H295R cells were significantly decreased by exposure to curcumin for 24 h (Fig. 1B-E).
Curcumin induces apoptosis of ACC cells
To investigate the effects of curcumin on the apoptosis of SW-13 and NCI-H295R cells, flow cytometric analysis was performed using Annexin V-APC/7-AAD, revealing that curcumin induced apoptosis in a dose-dependent manner (Fig. 2A and B). Next, the expression levels of the apoptotic factor Bax and the anti-apoptotic factor Bcl-2 were examined by RT-qPCR and western blotting. As the concentration of curcumin increased, the mRNA and protein expression levels of the apoptotic factor Bax significantly increased, while those of the anti-apoptotic factor Bcl-2 significantly decreased (Fig. 2C and D). These results indicated that curcumin induced apoptosis in ACC cells.
RNA-seq and bioinformatic analyses of the mechanism of curcumin in ACC
The experimental conditions for transcriptome analysis were determined based on the aforementioned cell viability assays. The CCK-8 assay results showed that 50 µM curcumin, which resulted in a cell viability of 49.9%, was the closest to the IC50 of curcumin in SW-13 cells after incubation for 24 h (Fig. 1A). Therefore, transcriptome analysis was performed on SW-13 cells after treatment with 50 µM curcumin for 24 h. In total, 385 DEGs were identified in the curcumin-treated group compared with the control group; 114 genes were upregulated and 271 genes were downregulated (Fig. 3A). GO enrichment analysis was used to examine the processes in which the DEGs were involved, and the top ten enriched GO terms were associated with in ‘cell cycle’, ‘cell proliferation’, ‘cell migration’, ‘cell differentiation’ and ‘execution phase of apoptosis’ (Fig. 3B). KEGG enrichment analysis demonstrated that curcumin-induced apoptosis of ACC cells was mediated primarily through the ‘cell cycle’, ‘microRNAs in cancer’, ‘endoplasmic reticulum’ and the ‘MAPK signalling pathway’ (Fig. 3C and D). These altered genes and pathways may improve the understanding of the mechanisms underlying curcumin-induced apoptosis of ACC cells.
Confirmation of DEGs by RT-qPCR and western blotting
The GO and KEGG analysis results showed that the ‘MAPK signalling pathway’ and ‘endoplasmic reticulum’ pathway may play notable roles in the curcumin-induced apoptosis of ACC cells. These results were validated using RT-qPCR and western blotting (Fig. 4A-C). HSP70 is a molecular chaperone that inhibits apoptosis (23). After curcumin treatment, HSP70 expression was downregulated, while the expression levels of p-JNK/JNK, p-p38/p38, c-Jun, c-Fos, ATF4 and CHOP increased. These results indicated that the JNK, p38 MAPK and ER stress pathways were activated by curcumin treatment.
CHOP-knockdown inhibits curcumin-induced apoptosis of SW-13 cells
To further determine whether CHOP plays a notable role in curcumin-induced apoptosis, a shRNA was used to knock down CHOP expression. As shown in Fig. 5A, CHOP mRNA expression was significantly decreased by ~70% compared with that in cells transfected with the NC. Following treatment with 40 µM curcumin, there was a significant decrease in CHOP mRNA and protein expression compared with the curcumin-treated group (Fig. 5B and C). Moreover, the protein expression levels of the apoptotic factor Bax were decreased, while the protein expression levels of the anti-apoptotic factor Bcl-2 were increased compared with the curcumin-treated group (Fig. 5C).
Curcumin inhibits SW-13 ×enograft tumour growth
Based on the inhibitory effects of curcumin on ACC cell proliferation in vitro, a SW-13 ×enograft tumour model was established in nude mice. After intraperitoneal injection of 50 or 100 mg/kg curcumin or vehicle alone for 2 weeks, a significant decrease in the tumour weight and volume was observed in the groups treated with 50 and 100 mg/kg curcumin (Fig. 6A-C). As shown in Fig. 6D, the body weights of the mice in the different treatment groups did not change significantly. Curcumin at a dose of 100 mg/kg exhibited a greater inhibitory effect on tumour growth compared with the other groups, and expansion of the ER was observed under an electron microscope (Fig. 6E). The expression levels of genes in the JNK, p38 MAPK and ER stress pathways were measured in xenograft tumours by RT-qPCR and western blotting, as shown in Fig. 7. After curcumin treatment, HSP70 and Bcl-2 expression was significantly decreased, while Bax expression was significantly increased (Fig. 7A, B and D). The JNK, p38 MAPK and ER stress pathways were activated, and the levels of p-JNK/JNK, p-p38/p38, c-Jun, c-Fos, ATF4 and CHOP were significantly increased in the 50 and 100 mg/kg curcumin-treated groups (Fig. 7A-C). These data indicated that curcumin exhibited antitumour activity, was safe to use in vivo and inhibited xenograft tumour growth through the JNK, p38 MAPK and ER stress pathways.
Discussion
Curcumin is a natural potential anticancer agent with few side effects (24). Curcumin potently inhibits tumour cell apoptosis and has been reported to inhibit the proliferation of human non-small cell lung carcinoma cells (25). In addition, animal studies have shown that curcumin inhibits tumorigenesis and tumour metastasis. Zhu et al (26) reported that curcumin inhibits the proliferation and invasion of monocytic leukaemia cells in vivo. Curcumin was also shown to inhibit the growth and angiogenesis of colorectal cancer CT26 ×enografts in nude mice (27) and to decrease tumour growth and augment the cisplatin antitumour effects in Sprague-Dawley rats with 7,12-dimethyl benz[a]anthracene-induced breast cancer (28). ACC is malignant and aggressive; therefore, the majority of patients who relapse or who have metastatic disease do not survive (29). The present study used two ACC cell lines to demonstrate that curcumin inhibits the viability, migration and invasion, and induces apoptosis in ACC cells in vitro. Moreover, curcumin was well tolerated and effectively inhibited tumour growth in vivo in a nude mouse xenograft model. However, since it has low bioavailability, its derivative curcumin liposomes should be used to enhance solubility in future studies.
Curcumin can inhibit cancer by exerting several biological effects, including decreasing proliferation, inducing apoptosis, inhibiting invasion and regulating the cell cycle (30–32). Curcumin increases glioblastoma cell death by inhibiting the PI3K/Akt/mTOR signaling pathway (33). In addition, curcumin inhibits bladder cancer cell proliferation and bladder tumour growth by decreasing Sp1, Sp3 and Sp4 protein levels (34). However, curcumin exerts an antitumour effect by inducing apoptosis in gastric and lung cancer cells by activation of Bax, caspases and pro-apoptotic ER stress (35,36). In the present study, transcriptomic analysis was performed in ACC cells to explore potential target genes and signalling mechanisms active after curcumin treatment. Hub genes and signalling pathways that may serve important roles in the curcumin-induced apoptosis of ACC cells were identified. A total of 385 DEGs, 114 upregulated and 271 downregulated, were identified. GO and KEGG pathway enrichment analyses showed that the ‘cell cycle’, ‘microRNAs in cancer’, ‘MAPK signaling pathway’ and ‘endoplasmic reticulum’ were the predominant pathways associated with curcumin-induced apoptosis of ACC cells.
HSP70 is a molecular chaperone required for the regulation of cellular homeostasis via the control of protein folding, translocation, biogenesis and degradation (37). HSP70, a member of the HSP family, has been reported to be highly expressed in numerous types of cancer and is associated with higher tumour grade, metastasis, chemotherapeutic resistance and poor prognosis (38,39). Nuclear translocation and expression of the HSP70 protein is correlated with the stage and the prognosis of patients with papillary thyroid cancer (40). The overall survival rates of patients with nasopharyngeal carcinoma with positive expression of HSP70 were significantly lower than those with negative expression (41). Sheng et al (42) showed that inhibition of HSP70 expression enhances the sensitivity of gastric cancer cells to cisplatin via the MAPK signalling pathway and that HSP70 may be a therapeutic target in gastric cancer. The present study suggested that the MAPK signalling pathway was involved in the curcumin-induced apoptosis of ACC cells. JNK and p38 are essential components of the MAPK signal transduction pathway, leading to programmed cell death in response to certain stimuli (43,44). The present results indicated that as curcumin concentration increased, HSP70 expression decreased, and JNK and p38 were activated and phosphorylated. JNK and p38 are typically described as stress-activated kinases that mediate apoptotic signals (45). HSP70 senses the accumulation of abnormal proteins after heat shock and other stresses to regulate JNK and p38 (46). Furthermore, JNK and p38 orchestrate cellular responses by mediating their downstream transcription factor activator protein-1, a c-Jun/c-Fos heterodimer. JNK and p38 are activated to modify the expression of CHOP, and participate in apoptosis induced by the ER stress pathway (47,48).
Curcumin has been reported to increase the expression of ATF4 and CHOP, which are considered the hallmarks of ER stress-induced apoptosis (49,50). During severe or prolonged ER stress, ATF4 is activated and binds to AARE1 on the CHOP promoter, further promoting the expression of the ER stress-associated apoptotic factor CHOP (51–53). After curcumin treatment, the expression levels of ATF4, and CHOP increased in ACC cells in vitro and in vivo. The current study investigated the role of CHOP in curcumin-induced apoptosis using lentivirus transfection. The shRNA-mediated knockdown of CHOP expression inhibited curcumin-induced apoptosis in ACC SW-13 cells. The current results are consistent with those of previous studies (54–56). Therefore, activation of JNK and p38 to stimulate ER stress appears to be a major contributor to the curcumin-induced apoptosis of ACC cells.
In conclusion, curcumin inhibited ACC growth and induced apoptosis. Curcumin activated JNK and p38 MAPK, and stimulated ER stress, which may serve a notable role in apoptosis. Thus, the present results may facilitate the search for novel treatments of ACC and for understanding the molecular mechanisms underlying the effects of curcumin. Curcumin may be a promising candidate for ACC therapy. Nonetheless, future studies should investigate the mechanism of the cell cycle and microRNA pathways in curcumin-induced apoptosis of ACC cells in curcumin liposome experiments.
Acknowledgements
Not applicable.
Funding
The present study was supported by The National Natural Science Foundation of China (grant nos. 81060220, 81860146 and 81660138), The Ministry of Science and Technology (grant nos. 2016YFC0901200 and 2016YFC0901205), The Nanning Scientific Research and Technology Development Plan Project (grant no. zc20203009) and The Guangxi Medical and Health Self-financing Project (grant no. Z20200122).
Availability of data and materials
The datasets generated and/or analyzed during the current study are available in the [SRA] repository, [http://www.ncbi.nlm.nih.gov/bioproject/699600].
Authors' contributions
XH, DL, YM and ZL conceived and designed the study. XH, CL, HY, XL, XD, XHL, LL, ZH, DL and ZL conducted the study and analysed the data. XH and ZL confirmed the authenticity of all the raw data. XH drafted the initial manuscript. DL, YM and ZL guided the writing. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
The in vivo animal experiments were approved by The Animal Ethics and Welfare Committee of Guangxi Medical University (Nanning, China; approval no. 201903022).
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Glossary
Abbreviations
Abbreviations:
|
ACC |
adrenocortical carcinoma |
|
DEGs |
differentially expressed genes |
|
GO |
Gene Ontology |
|
KEGG |
Kyoto Encyclopedia of Genes and Genomes |
|
PPI |
protein-protein interaction |
|
shRNA |
short hairpin RNA |
|
ER |
endoplasmic reticulum |
|
HSP70 |
heat shock protein 70 |
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