Mengting Ou1, Xichao Xu1, Ying Chen1, Li Li1, Lu Zhang1, Yi Liao2, Weichao Sun1, Christine Quach3, Jianguo Feng4, Liling Tang1. 1. Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China. 2. Department of Cardiothoracic Surgery, Southwest Hospital, Third Military Medical University, Chongqing 400044, P.R. China. 3. Department of Molecular Microbiology and Immunology, University of Southern California, Los Angeles, CA 90033, USA. 4. Department of Anesthesiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Abstract
MDM2 proto‑oncogene, E3 ubiquitin protein ligase (MDM2) is a well‑known oncogene and has been reported to be closely associated with epithelial‑to‑mesenchymal transition (EMT). The present study first demonstrated that the expression levels of MDM2 were markedly increased in TGF‑β‑induced EMT using quantitative PCR and western blotting. In addition, MDM2 was demonstrated to be associated with pathological grade in clinical glioma samples by immunohistochemical staining. Furthermore, overexpression of MDM2 promoted EMT in glioma, lung cancer and breast cancer cell lines using a scratch wound migration assay. Subsequently, the present study explored the mechanism by which MDM2 promoted EMT and revealed that MDM2 induced EMT by upregulating EMT‑related transcription factors via activation of the B‑Raf signaling pathway through tyrosine 3‑monooxygenase activation protein ε using RNA sequencing and western blotting. This mechanism depended on the p53 gene. Furthermore, in vivo experiments and the colony formation experiment demonstrated that MDM2 could promote tumor progression and induce EMT via the B‑Raf signaling pathway. Since EMT contributes to increased drug resistance in tumor cells, the present study also explored the relationship between MDM2 and drug sensitivity using an MTT assay, and identified that MDM2 promoted cell insensitivity to silibinin treatment in an EMT‑dependent manner. This finding is crucial for the development of cancer therapies and can also provide novel research avenues for future biological and clinical studies.
MDM2 proto‑oncogene, E3 ubiquitin protein ligase (MDM2) is a well‑known oncogene and has been reported to be closely associated with epithelial‑to‑mesenchymal transition (EMT). The present study first demonstrated that the expression levels of MDM2 were markedly increased in TGF‑β‑induced EMT using quantitative PCR and western blotting. In addition, MDM2 was demonstrated to be associated with pathological grade in clinical glioma samples by immunohistochemical staining. Furthermore, overexpression of MDM2 promoted EMT in glioma, lung cancer and breast cancer cell lines using a scratch wound migration assay. Subsequently, the present study explored the mechanism by which MDM2 promoted EMT and revealed that MDM2 induced EMT by upregulating EMT‑related transcription factors via activation of the B‑Raf signaling pathway through tyrosine 3‑monooxygenase activation protein ε using RNA sequencing and western blotting. This mechanism depended on the p53 gene. Furthermore, in vivo experiments and the colony formation experiment demonstrated that MDM2 could promote tumor progression and induce EMT via the B‑Raf signaling pathway. Since EMT contributes to increased drug resistance in tumor cells, the present study also explored the relationship between MDM2 and drug sensitivity using an MTT assay, and identified that MDM2 promoted cell insensitivity to silibinin treatment in an EMT‑dependent manner. This finding is crucial for the development of cancer therapies and can also provide novel research avenues for future biological and clinical studies.
Entities:
Keywords:
14‑3‑3; B‑Raf; EMT; MDM2; drug sensitive
MDM2 proto-oncogene, E3 ubiquitin protein ligase (MDM2) is a well-known oncogene that has been reported to be closely associated with different disease phenotypes (1). MDM2 is a specific target gene of p53 and is a unique ubiquitin-protein ligase associated with numerous cancer types (1). MDM2 can transfer from the nucleus to the cytoplasm and degrade various substrates, such as p53 (2). In addition, MDM2 and p53 can form a negative-feedback loop (2). The p53 gene enhances MDM2 protein expression, while MDM2 inhibits p53 through simultaneously ubiquitinating and degrading p53 (2,3). P53 is a cancer suppressor the function of which can be eliminated by MDM2 activity (2,3). Therefore, MDM2 is related to tumor formation, anti-apoptosis effects and drug resistance (4,5).Epithelial-to-mesenchymal transition (EMT) is a dynamic and complex process. When EMT occurs, epithelial cells change their morphology, lose their polarity, and acquire the features and potential of mesenchymal cells (6). EMT is involved in embryonic development, wound healing, invasion and metastasis in tumor cells (6). Notably, EMT serves a crucial role in tumor progression (6). According to previous studies, the expression levels of MDM2 are increased in TGF-β-induced EMT (2,3,7,8). Therefore, MDM2 is an important part of tumor cell invasion, metastasis and the EMT process. In certain invasive ductal breast carcinoma models, overexpression of MDM2 promotes the invasion and migration of tumor cells (7). A previous study reported that MDM2 can promote EMT by upregulating the expression of Snail family transcriptional repressor 1 (Snail) in breast cancer cells (4). A number of articles have reported the close relationship between MDM2 and EMT in other cancer cells (4–8). MDM2 induces the migration of tumor cells by inhibiting E-cadherin (E-CAD) expression (7,8). However, to the best of our knowledge, the mechanism by which MDM2 promotes EMT is still unknown.The MAPK/ERK signaling pathway is a complex and highly conserved cellular signaling pathway widely used in eukaryotic cells, and it is important for the occurrence, development and malignant transformation of tumors (9). Raf/MEK/ERK is a classical and important pathway involved in tumor development, leading to abnormal proliferation, invasion, growth and distant metastasis of malignant tumors (10). Various in vitro experiments have demonstrated the important roles of Raf/MEK/ERK signaling in the development of cancer; however, there are still numerous unknowns regarding the involvement of this pathway with cancer (9–11). A number of studies have reported that Raf/MEK/ERK signaling can participate in EMT, while the mechanism by which Raf/MEK/ERK signaling is involved in and affects EMT is unclear (9–11). Therefore, with the continuous progress and updating of diagnosis and treatment technology, the specific regulatory mechanism for the Raf/MEK/ERK signaling pathway to block its induction of tumor biological behavior has become a focus of current cancer research (9–11).Tyrosine 3-monooxygenase activation protein ε (14-3-3) proteins are a family of highly conserved small proteins (12). At present, 14-3-3 proteins are regarded as a major class of molecular chaperones, with >200 proteins having been demonstrated to be targeted by them, and the list is still expanding (12). A turning point in understanding the role of 14-3-3 proteins was the discovery that 14-3-3 proteins bind to specific phosphorylated motifs in protein targets in 1996 (13). The majority of target proteins contain 14-3-3-binding motif(s) with the following amino acid sequences: RSXpSXP (mode I) and RXY/FXpSXP (mode II) or -pS/pTX(1–2)-CO2 H (mode III) (where X is not Pro) (14–16). Upon interaction with a target, 14-3-3 proteins alter target protein modifications, activities and cellular localizations, and thus regulate five major cellular functions: Cell cycle regulation, apoptosis, signal transduction, metabolism and intracellular protein trafficking (17–23). Notably, previous studies have revealed that B-Raf contains at least two binding sites for 14-3-3, and 14-3-3 could combine with B-Raf to affect the activation of B-Raf (14–16). It is interesting to note that 14-3-3 can deactivate B-Raf directly by making it locate to the cytoplasm (24–27). Under basal conditions, B-Raf phosphorylation creates docking sites for 14-3-3 proteins, resulting in the sequestration of B-Raf in the cytoplasm as an off-state (28,29). 14-3-3 deficiency can directly lead to B-Raf reactivation (28,29).EMT contributes to the resistance of cancer cells to chemotherapy agents. According to previous studies, numerous chemicals have been used in cancer treatments (7,8,30–32). However, they often have little or no effect on cells that have undergone EMT (30). EMT is also involved in the drug resistance of breast cancer cells, and these resistant cancer cells exhibit increased migration and invasion activities (31,32). In some humanglioma cell models, EMT is necessary for tumor cells to acquire resistance to drugs (33,34). Furthermore, EMT has been reported to be associated with drug resistance and sensitivity to numerous chemotherapeutics in non-small-cell lung carcinoma, breast cancer and bladder cancer (35,36).Based on previous studies and data, the present study attempted to reveal the mechanism of MDM2-mediated induction of EMT. In addition, the present study aimed to explore whether p53 is involved in MDM2-mediated EMT. Since EMT contributes to the drug resistance of tumor cells, the present study also tried to reveal the relationship between MDM2 and drug sensitivity.
Materials and methods
Plasmid vector construction
Plasmid construction was performed as described in our previous studies (37–39). pLenti-CMV-MDM2-green fluorescent protein (GFP)-puro was constructed based on a plenti-CMV-puro backbone. The present study first PCR-amplified the MDM2 sequence lacking a termination codon using the plasmid pcDNA3.1-MDM2 as a template using the following primer pair and the Prime Star DNA Polymerase kit (Takara Bio, Inc.): Forward, 5′-CGCGCCACCATGGTGAGGAGCAGGCAAAT-3′ and reverse, 5′-ACGCGGGGAAATAAG-3′. The PCR conditions used were as follows: 94°C for 5 min; 94°C for 30 sec; 56°C for 60 sec; 72°C for 1 min; 72°C for 10 min; 4°C for 10 min; cycle number, 35. PCR fragments were purified on a 1.5% agarose gel with ethidium bromide using the E.Z.N.A.® DNA Kit (Omega Bio-Tek, Inc.). A purified GFP cDNA fragment that lacked an initiation codon was PCR-amplified using plenti-CMV-GFP as a template by the following primer pair and the Prime Star DNA Polymerase kit (Takara Bio, Inc.): Forward, 5′-CGTCAGATCCGCTAGCGCTACCGGTCG-3′ and reverse, 5′-GCTTACTTGTACAGCTCGTCCATGCCG-3′. The PCR conditions used were as follows: 94°C for 5 min; 94°C for 30 sec; 55°C for 30 sec; 72°C for 30 sec; 72°C for 10 min; 4°C for 10 min; cycle number, 32. PCR fragments were purified on a 1.5% agarose gel with ethidium bromide using the E.Z.N.A.® DNA Kit (Omega Bio-Tek, Inc.). Overlap PCR was used to connect the purified MDM2 and GFP fragments using the following primer pair and the Prime Star DNA Polymerase kit (Takara Bio, Inc.): Forward, 5′-CGCGCCACCATGGTGAGGAGCAGGCAAAT-3′ and reverse, 5′-GCTTACTTGTACAGCTCGTCCATGCCG-3′. The PCR conditions used were as follows: 94°C for 5 min; 94°C for 30 sec; 56°C for 60 sec; 72°C for 1.5 min; 72°C for 10 min; 4°C for 10 min; cycle number, 35. PCR fragments were purified on a 1.5% agarose gel with ethidium bromide using the E.Z.N.A.® DNA Kit (Omega Bio-Tek, Inc.). Subsequently, Kozak sequences were added to the purified MDM2-GFP fragment and restriction enzyme sites for BamHI and SalI were also inserted. The recombinant fragment and pLenti-CMV-puro were digested with BamHI and SalI (Takara Bio, Inc.), respectively, and then T4 ligase (Takara Bio, Inc.), was used to form the recombinant plasmid pLenti-CMV-MDM2-GFP-puro plasmid (Fig. S1A and B). In the present study, fragments and plasmids were digested with Takara QuickCut enzymes (Takara Bio, Inc.) and fragments and vectors were ligated with T4 ligase (Takara Bio, Inc.). In the present study, the pLenti-CMV-MDM2-GFP-puro plasmid sequencing process was conducted at Sangon Biotech Co., Ltd. Stbl3 competent cells were used for plasmid transformation, and plasmid was extracted from Stbl3 using a TIANGEN Kit. The pLenti-CMV-MDM2-GFP-puro plasmid sequencing result and original sequence were aligned using APE software (version 2.0; https://jorgensen.biology.utah.edu/wayned/ape/; Fig. S1B). Flag-14-3-3 and pcDNA3.1-p53 were purchased from Addgene, Inc.
Cell culture
U251MG, A549, MCF-7 and 293T cells (The Cell Bank of Type Culture Collection of The Chinese Academy of Sciences) were used in the present study. All cell lines were cultured at 37°C with 5% CO2. Ham's F-12K (Kaighn's) Medium (Thermo Fisher Scientific, Inc.) was used to culture A549 cells. U251MG, 293T and MCF-7 cells were cultured in DMEM with high glucose (HyClone; Cytiva). All media were supplemented with 10% FBS (Shanghai ExCell Biology, Inc.) and 100 µg/ml penicillin and streptomycin to make complete medium. Media were changed every other day. The inhibitors and activators used in the present study included an ERK inhibitor (FR180204; 10 µM, 24 h; cat. no. S7524; Selleck Chemicals), a 90 KDa ribosomal protein S6 kinase (RSK) inhibitor (SL0101; 50 µM, 24 h; cat. no. 77307-50-7; Sigma-Aldrich; Merck KGaA), vemurafenib (2 µM, 24 h; cat. no. A3004; APeXBIO Technology LLC), a MEK inhibitor U0126 (2 µM, 24 h; cat. no. 9903; Cell Signaling Technology, Inc.), TGF-β (10 ng/ml, 48 h; cat. no. 8915; Cell Signaling Technology, Inc.) and 20 mM Citrate pH 3.0 (Sterile) (cat. no. 9871; Cell Signaling Technology, Inc.). To examine TGF-β inducing EMT, U251 cells were incubated with 10 ng/ml TGF-β, and the control group was incubated with an equal volume of 20 mM citrate solution buffer, which was the buffer solution for TGF-β.
Plasmid transfection
pcDNA6B, pcDNA6B-Flag-14-3-3, pcDNA3.1 and pcDNA3.1-p53 were purchased from Addgene, Inc. Before transfection, MDM2-GFP stable cells were digested by tryptase that contained EDTA when the cells were 80% confluent. Then, 2×105 cells/well were seeded into six-well plates (Suzhou Beaver Biomedical Engineering Co., Ltd.). pcDNA6B-Flag-14-3-3 or pcDNA3.1-p53 plasmid (2 µg) were transfected using PloyFect Effectene Transfection Reagent (Qiagen, Inc.) according to the manufacturer's protocols when cells were 60–80% confluent. Related empty vector (2 µg) was also transfected into MDM2-GFP stable cells using PloyFect as a control group. Cells were cultured at 37°C with 5% CO2 for 8 h, and then the media were replaced with fresh media. After transfection, cells were cultured at 37°C with 5% CO2 for 36 h. When the transfection was finished, cells were harvested in 1.5-ml microcentrifuge tubes for determination of gene overexpression by quantitative PCR (qPCR). Samples successfully transfected with plasmids were further tested by western blotting.
Co-transfection and lentivirus transduction
According to the manufacturer's protocols of the PloyFect Effectene Transfection Reagent (Qiagen, Inc.) The second generation lentiviral system plasmid plenti-CMV-MDM2-GFP-puro, pCMV–VSV-G (Addgene, Inc.) and pCMV-dR8.2 dvpr (Addgene, Inc.) (at a ratio of 4:1:3; 2 µg total plasmids) were co-transfected into 293T packaging cells. Additionally, plenti-CMV-puro empty vector (Addgene, Inc.), pCMV–VSV-G and pCMV-dR8.2 dvpr (at a ratio of 4:1:3; 2 µg total plasmids) were co-transfected into 293T packaging cells as a control group for control stable cell lines. All cells were cultured at 37°C with 5% CO2 for 8 h, and the media were replaced by fresh media. After 24 and 36 h, media were collected in centrifuge tubes. Subsequently, media were concentrated by ultracentrifugation at 16,100 × g for 30 min at 4°C and filtered with a 4-µm filter. Viral titers were measured, and then recombinant lentiviral particles (107 TU/ml) were added to U251, A549 and MCF7 cells. The multiplicity of infection for U251, A549 and MCF7 cells was 3, 40 and 30, respectively. Equal volumes of complete media that contained 8 µg/ml Polybrene (Sigma-Aldrich; Merck KGaA) were then added. The media were replaced with fresh media containing 2 µg/ml Puromycin (Puro; Sigma-Aldrich; Merck KGaA) for selection after 24 h for stable cell line enrichment. The duration of the selection process was 7 days. Subsequently, complete media with 1 µg/ml Puro for maintenance were used to culture this purified stable cell line. Then, 2×105 cells per well were seeded into six-well plates using 0.25% Trypsin-EDTA solution (Sigma-Aldrich; Merck KGaA) for 5 min at 37°C, and then the stable cells were collected for qPCR and western blotting.
Western blot analysis
Cells were harvested in 1.5-ml microcentrifuge tubes and washed with PBS. Subsequently, Nonidet P (NP)-40 lysis buffer (2% NP-40, 80 mM NaCl, 100 mM Tris-HCl and 0.1% SDS) was added to the cells, and PMSF (1 mM; Thermo Fisher Scientific, Inc.) was supplemented. Cell lysate was incubated on ice for 5 min and then the lysate was centrifuged at 16,100 × g for 10 min at 4°C. The sample protein concentration was determined using a Bio-Rad Protein DC Assay kit (Bio-Rad Laboratories, Inc.). Protein samples (50 µg per lane) from the control group and treatment group were subjected to SDS-PAGE (15%). Next, proteins were transferred from gels to a 0.45-µm PVDF membrane (EMD Millipore) at 200 mA for 70 min. The membranes were blocked with 5% BSA (Sigma-Aldrich; Merck KGaA) in PBS with 0.02% Tween 20 for 1 h at room temperature. Membranes were incubated with the primary antibodies (diluted to recommended concentration with 5% BSA) overnight at 4°C. The antibodies used were as follows: Anti-GAPDH (rabbit; dilution, 1:1,000 for western blotting; cat no. 10494-1-AP; ProteinTech Group, Inc.), anti-GFP (mouse; dilution, 1:1,000 for western blotting; cat no. 66002-1-Ig; ProteinTech Group, Inc.), anti-p53 (mouse; dilution, 1:1,000 for western blotting; cat no. TA808657; OriGene Technologies, Inc.), phosphorylated (p-)B-Raf (dilution, 1:1,000 for western blotting; cat. no. 2696; Cell Signaling Technology, Inc.), B-Raf (dilution, 1:1,000 for western blotting; cat. no. 14814; Cell Signaling Technology, Inc.), p-MEK (dilution, 1:1,000 for western blotting; cat. no. 3958; Cell Signaling Technology, Inc.), MEK (dilution, 1:1,000 for western blotting; cat. no. 4694; Cell Signaling Technology, Inc.), p-ERK (T202/Y204) (dilution, 1:1,000 for western blotting; cat. no. 4370; Cell Signaling Technology, Inc.), ERK (dilution, 1:1,000 for western blotting; cat. no. 4695; Cell Signaling Technology, Inc.), p-ribosomal protein S6 kinase (p70S6K) (T389) (dilution, 1:1,000 for western blotting; cat. no. 9206S; Cell Signaling Technology, Inc.), p70S6K (dilution, 1:1,000 for western blotting; cat. no. 9202S; Cell Signaling Technology, Inc.), p-eukaryotic translation initiation factor 4E binding protein 1 (4EBP1) (T37/46) (dilution, 1:1,000 for western blotting; cat. no. 9451T; Cell Signaling Technology, Inc.), 4EBP1(dilution, 1:1,000 for western blotting; cat. no. 9644S; Cell Signaling Technology, Inc.), 14-3-3 (pan) (dilution, 1:1,000 for western blotting; cat. no. 8312; Cell Signaling Technology, Inc.), E-CAD (dilution, 1:1,000 for western blotting; cat. no. 20874-1-AP; ProteinTech Group, Inc.), N-cadherin (N-CAD; dilution, 1:1,000 for western blotting; cat. no. GTX-127345; GeneTex, Inc.), vimentin (VIM; dilution, 1:1,000 for western blotting; cat. no. 5741T; Cell Signaling Technology, Inc.), zinc finger E-box binding homeobox 1 (ZEB1; dilution, 1:1,000 for western blotting; cat. no. 3396T; Cell Signaling Technology, Inc.), Snail (dilution, 1:1,000 for western blotting; cat. no. 3879T; Cell Signaling Technology, Inc.), Snail family transcriptional repressor 2 (Slug; dilution, 1:1,000 for western blotting; cat. no. 9585T; Cell Signaling Technology, Inc.), GFP (dilution, 1:1,000 for western blotting; cat. no. GTX-113617; GeneTex, Inc.) and Flag (dilution, 1:1,000 for western blotting; cat. no. F3165; Sigma-Aldrich; Merck KGaA). GAPDH served as a control. Then, appropriate anti-rabbit and anti-mouse secondary antibodies (cat nos. SA00001-1 and SA00001-2; ProteinTech Group, Inc.; dilution, 1:3,000 with 5% BSA) were added to the membranes for 1 h at room temperature. Subsequently, membranes were exposed to ECL solution (cat no. WBKLS0500; EMD Millipore) using an Amersham Imager 600 machine (GE Healthcare). For protein expression intensity measurement and quantification, densitometry of the bands was performed using ImageJ version 1.49 software (National Institutes of Health).
RNA extraction, cDNA synthesis and qPCR analysis
A RNeasy Mini kit (cat. no. 74104; QIAGEN Inc.) was used to extract total RNA of U251, MCF7 and A549 cells. The RNA products isolated using this kit were loaded on a 1% agarose gel and separated by electrophoresis. Subsequently, bands for 28S RNA, 18S RNA and 5S RNA were inspected to ensure that RNA was extracted correctly. Next, the RNA quality and concentration were assayed using a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific, Inc.). A total of 1 µg RNA was used for cDNA synthesis using the iScript™ cDNA Synthesis Kit (cat no. 170-8890; Bio-Rad Laboratories, Inc.). The reverse transcription (RT) conditions were as follows: 25°C for 5 min, 46°C for 20 min, 95°C for 60 sec, hold at 4°C. Primers used for qPCR are listed in Table I. PerfeCTa® SYBR® Green SuperMix (cat no. 95054-100; Quantabio) was used for qPCR and the conditions were as follows: 95°C for 3 min, 95°C for 15 sec, 55°C for 45 sec, 72°C for 30 sec, total of 35 cycles. A CFX96 Touch Real-Time PCR Detection System (Bio-Rad Laboratories, Inc.) was used to obtain and analyze the data. Actin was used to normalize gene expression levels. For quantification, the 2−ΔΔCq method was used for this experiment (40).
Table I.
List of primers used for quantitative PCR.
Gene
Forward (5′-3′)
Reverse (5′-3′)
ACTIN
GCTCGTCGTCGACAACGGCT
CAAACATGATCTGGCTCATCTTCTC
E-CAD
CTGAGAACGAGGCTAACG
TTCACATCCAGCACATCC
ZEB1
GTGGCGGTAGATGGTAAT
CTGTTTGTAGCGACTGGA
SNAIL
CCCCAATCGGAAGCCTAA
CCTTTCCCACTGTCCTCAT
SLUG
TCCTGGTCAAGAAGCATT
GAGGAGGTGTCAGATGGA
MDM2
CGGGAGTCCGCAGTCTTA
GCTTGAGGGTCTGAATCTTG
VIMENTIN
CCAGGCAAAGCAGGAGTC
CGAAGGTGACGAGCCATT
N-CAD
CACTGCTCAGGACCCAGAT
TAAGCCGAGTGATGGTCC
P53
CACCCGCGTGCTAATGG
ATGCTGTGTGTACTCTGCTTGAACT
All these primers were designed for human genes. E-CAD, E-cadherin; H, human; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; N-CAD, N-cadherin; ZEB1, zinc finger E-box binding homeobox 1.
Immunohistochemistry
Tissue sections were fixed in 10% neutral buffered formalin at room temperature for 48 h and then embedded in paraffin. The thickness of tissue sections was 4 µm. For immunohistochemical staining, slides were placed in a 65°C incubator for 30 min. Tissue slides were deparaffinized in xylene for 5 min, then in fresh xylene for another 5 min, 100% ethanol for 5 min, 95% ethanol for 5 min and 75% ethanol for 5 min, and then washed in water for 5 min. Endogenous peroxidase was blocked with 3% hydrogen peroxide. Antigen retrieval was achieved using a hot water bath (100°C) and 10 mM citric sodium buffer (pH 6.0) for 15 min. Sections were then blocked with 5% BSA for 1 h at room temperature and incubated overnight at 4°C with the indicated primary antibodies in 5% BSA: E-CAD (dilution, 1:100; cat. no. 20874-1-AP; ProteinTech Group, Inc.) and N-CAD (dilution, 1:50; cat. no. GTX-127345; GeneTex, Inc.). Antibody binding was detected using the EnVision™ Dual Link System-HRP DABkit (undiluted; cat. no. K4010; Dako; Agilent Technologies, Inc.). Anti-Rabbit HRP labeled polymer (cat. no. K4010; Dako; Agilent Technologies, Inc.) was used to cover tissues, followed by incubation for 30 min at room temperature. Subsequently, 20 µl DAB (~1 drop) in 1 ml DAB substrate buffer was applied to each slide and incubated for 5 min. Sections were then counterstained with hematoxylin for 5 min at room temperature, followed by washing of the slides at room temperature. After staining, the slides were washed with running tap water for 5 min. Subsequently, tissue slides were placed in 75% ethanol for 5 min, 95% ethanol for 5 min, 100% ethanol for 5 min, xylene for 5 min and then in fresh xylene for another 5 min. For negative controls, primary antibodies were excluded. The mitotic index was quantified by viewing and capturing images of 10 random high-power fields for each tissue section on a Keyence All-In-One Fluorescence Microscope (Keyence Corporation), using a 40× or 20× objective. For evaluation and quantification of immunohistochemical data, 10 fields within the tumor area under high power magnification (40×) were randomly selected for evaluation using ImageJ version 1.49 software (National Institutes of Health). The investigators performed blind counting for all quantifications.
Clinical patient glioma samples
All clinical patientglioma samples were obtained from The Affiliated Hospital of Southwest Medical University (Luzhou, China). Recruitment was between March 2017 and May 2018. And the recruitment patient mean age is 33 years old. And all patient ages are among 18–59 years old. The recruitment patient proportion is 50 percent male and 50 percent female. The inclusion criteria were: i) Signature of informed consent voluntarily; ii) pathological diagnosis of glioma; iii) aged 18–59 years old, male and female; iv) normal blood-routine test; and v) normal liver function. The exclusion criteria were: i) Patients unwilling to participate in the experiment or had poor compliance; ii) other clinical trials being conducted; iii) previous history of brain tumor and radiotherapy conducted; iv) multiple lesions with extensive radiation volume; and v) with history of radiotherapy for brain tumors.All samples were obtained from resection surgery and handled following clinical guidelines and in compliance with ethical standards (approval no. Y2019045; Southwest Medical University Ethics Committee, Luzhou, China). An informed consent document was signed by the patients to agree to the use of their samples in scientific research. Clinical samples were graded according to tumor cell density, mitotic index, degree of necrosis from the WHO Classification of Tumors (3rd Edition) (41). Samples were frozen at −196°C in liquid nitrogen for qPCR, western blotting and paraffin sectioning for subsequent histological examination.
Clonogenic cell survival assay
After treatment (24 h exposure), cells were trypsinized, counted, and 800 cells per well were re-plated in six-well plates for colony formation assays. After incubation for 10–14 days, colonies were fixed with methanol:acetic acid (3:1; pre-cooled at 4°C) at 4°C for 10 min, and stained with 1% crystal violet at room temperature for 15 min, and then counted. A light microscope (Nikon Corporation) was used to observe and count colonies, and GraphPad Prism 6.0 software (GraphPad Software, Inc.) was used for quantification and analysis. Plating efficiency (PE) was determined, and the surviving fraction was calculated based on the number of colonies that arose after treatment and is expressed in terms of PE. Each experiment was repeated three times.
High throughput RNA sequencing (RNA-seq)
RNA was prepared using the Qiagen RNeasy Kit (cat. no. 74104; Qiagen, Inc.) according to the manufacturer's protocols. Strand-specific libraries were generated using the KAPA Stranded mRNA-Seq Kit with KAPA mRNA Capture Beads (cat no. KK8421; Kapa Biosystems; Roche Diagnostics). Sequencing libraries were quantified using the Qubit 2.0 Fluorometer (Invitrogen; Thermo Fisher Scientific, Inc.) and validated using High-Performance Capillary Electrophoresis and the Agilent Tapestation 4200 (Agilent Technologies, Inc.). RNA-seq was performed by Genewiz, Inc. The sequencing libraries were multiplexed and clustered on one lane of a Flow Cell. After clustering, the Flow Cell was loaded on the Illumina HiSeq instrument (Illumina, Inc.) according to the manufacturer's protocol. The samples were sequenced using a 2×150 Paired End configuration. Image analysis and base-calling were conducted by the HiSeq Control Software (version 3.3.20; Illumina, Inc.). Raw sequence data (.bcl files) generated from Illumina HiSeq were converted into Fastq files and de-multiplexed using Illumina's bcl2fastq software (version 2.17; Illumina, Inc.). One mismatch was allowed for index sequence identification. The quality of Fastq files was checked with FastQC (version 0.11.8; Baraham Bioinformatics group; http://www.bioinformatics.babraham.ac.uk/). To be referred to as ‘differentially expressed’, a gene had to have a false discovery rate adjusted P<0.05 in Differential Expression Analysis of RNA-seq Data (DEseq) as well as in null model of hypothesis. DesEQ2 performs a likelihood ratio test that compares how well a gene count data fits a full model (with independent variable time) compared with a reduced model without those variables. The null model of hypothesis takes the average expression of groups into consideration. The gene list was further ranked using fold change criteria.
Gene set enrichment analysis (GSEA)
GSEA was used to study the enrichment of genes in different pathways. Non-parametric GSEA was performed using GSEA 3.0 (Broad Institute, Inc.; http://www.gsea-msigdb.org/gsea/index.jsp). The gene sets that significantly out-performed random-class permutations were considered significant.
MTT assay
Cells were digested and then seeded into 24-well culture plates at a density of 1×104 cells/well. Subsequently, cells were treated with Silibinin at the indicated concentration for 24 and 48 h. MTT reagent (5 mg/ml; HyClone; Cytiva) was then added to each well, and the cells were incubated at 37°C for 4 h. After incubation, DMSO was used to replace the MTT reagent, and cells were further incubated at room temperature for 30 min. The absorbance of formazan at 570 nm was detected using a spectrophotometer (Bio-Rad Laboratories, Inc.).
Scratch wound migration assay
U251 and A549 cells were first seeded into a 12-well cell culture plate (2×105 cells/well). The monolayer was scratched using a 200-µl pipet tip when the cell confluence reached 75–80%. Subsequently, cells were cultured in an incomplete medium that contained 0.5% serum. Images were captured at 0, 24 and 48 h after wounding using a light microscope (Olympus Corporation). ImageJ (version 1.49; National Institutes of Health) was used to analyze these images, and the cell migration ratio was calculated as follows: N=[1-(Dn/D0)] ×100%, where N represents the ratio of cell migration, Dn represents the closure distance at the sampling time and D0 represents the original distance.
Animal experiments
NOD/SCIDmice (stock no. 001303) were purchased from Chengdu Dossy Experimental Animals Co., Ltd. All animal experiments were performed following the guidelines that were reviewed and approved by Southwest Medical University Ethics Committee (Luzhou, China) before conduction (approval no. 201903-34). For subcutaneous xenografts, U251 cells and stable MDM2 and 14-3-3-expressing cells (5×106) in PBS were injected subcutaneously into the lower flank of 6-week-old female NOD/SCIDmice (weight, ~20 g; 6 mice per group; total of 24 mice). All mice were housed in a SPF mice room under standard conditions (temperature, 20-26°C; humidity, 40–70%; ammonia concentration below 14 mg/m3; light/dark cycle was 12/12 h; free access to food and water). Animal health and behavior were monitored daily. Mice were monitored for tumor development by measurements of tumor weight, tumor length and width. Tumor volume was calculated according to the following formula: (Length × width2)/2. Related mice were treated daily with 100 mg/kg (body weight) FR180204 via intraperitoneal injection using a 27-gauge needle. The duration of the experiment was 28 days. After a 4-week period (post-inoculation), once tumors grew to a palpable size (~500 mm3), the mice were sacrificed (no mice died before the endpoint), and tumors were dissected (no other tumors were observed). To minimize the struggle of the animals and reduce the pain of the animal, the cervical dislocation method was performed after the mice were anesthetized. When mice were sacrificed, mice were placed in the induction chamber with 2% isoflurane (induction dose) in oxygen, and then cervical dislocation was used for euthanasia immediately. Half of each tumor was frozen at −196°C in liquid nitrogen, and half was fixed in 4% paraformaldehyde for subsequent histological examinations.During the 4-week observation period, if there was evidence of weight loss >20% from the baseline, partial rigor of the limbs, inability to regain normal posture if placed on back, labored breathing, inability to eat or drink, severe dyspnea or any other serious illness, the mice would have been euthanized. Consequently, tumor growth of 1.0 cm3 will be a humane endpoint to euthanize mice. Mice would be euthanized if tumor growth plateaus for more than five measurements in which case controls would be concurrently euthanized with experimental populations. Animals were checked daily for body condition scoring and signs of discomfort. Those animals in pain or extreme discomfort would have been euthanized. The final decision to perform euthanasia was at the discretion of the clinical veterinarian.
Image capture and analysis
Images were acquired using Olympus Stream software (version 2.4; Olympus Corporation) under a fluorescence microscope (Olympus Corporation), and ImageJ (version 1.49; National Institutes of Health) was used to analyze the images. Band densitometry and data quantification was also conducted using ImageJ. All images in the present study were grouped using Adobe Illustrator software (version 24.0; Adobe Systems, Inc.).
Statistical analysis
Data were normalized using control markers. Data from each group were obtained from at least three replicates. Mean values and SD are presented. In this study, statistical analysis was performed using GraphPad Prism 6.0 software (GraphPad Software, Inc.). Statistical significance was analyzed using an unpaired Student's t-test or one-way ANOVA with Tukey's post hoc test to correct for multiple comparisons. P<0.05 was considered to indicate a statistically significant difference, P<0.01 was considered to indicate a statistically very significant difference and P<0.001 was considered to indicate a statistically extremely significant difference.
Results
MDM2 expression is increased in TGF-β-induced EMT
According to previous studies, MDM2 is an important factor related to cell invasion, metastasis and EMT (7,8). Therefore, the present study aimed to determine the MDM2 levels in cells undergoing EMT. TGF-β can induce EMT (6). U251 cells were incubated with 10 ng/ml TGF-β or an equal volume of 20 mM Citrate solution buffer which was the buffer solution for TGF-β. Subsequently, cells were collected and total RNA was extracted. As shown in Fig. 1A, compared with the control group, full length MDM2 was upregulated ~2.5 times after incubation based on semi-quantitative analysis of band intensity from PCR results. Similarly, MDM2 gene expression in U251 cells treated in the same manner was increased ~3 times after incubation according to qPCR (Fig. 1B). Subsequently, the protein expression levels of MDM2, p53, E-CAD, N-CAD and VIM in TGF-β-treated U251 cells were analyzed by western blotting (Fig. 1C). As shown in the quantitative analyses, U251 cells treated with TGF-β exhibited decreased E-CAD protein expression and increased N-CAD and VIM protein expression, which suggested that EMT had been induced. In the same cells, RT-qPCR indicated that the MDM2 expression was significantly increased after incubation with TGF-β peptide (Fig. 1D). Furthermore, since MDM2 is an upstream gene of p53, the present study also determined p53 protein expression (2–4). Consistent with other publications, it was observed that the accumulation of MDM2 was associated with the degradation of p53 (Fig. 1C). To summarize, MDM2 expression was upregulated in EMT induced by TGF-β.
Figure 1.
MDM2 expression is upregulated in TGF-β-induced epithelial-to-mesenchymal transition. (A) U251 cells were incubated with 10 ng/ml TGF-β for 72 h and MDM2 expression was analyzed by semi-quantitative reverse transcription PCR. The control group was incubated with an equal volume buffer solution in the U251 cell line. GAPDH was used as a control. (B) U251 cells were incubated with 10 ng/ml TGF-β for 72 h and the MDM2 expression was analyzed by quantitative PCR. GAPDH was used as a control. (C) MDM2, p53, E-CAD, N-CAD and VIM protein expression was analyzed by western blotting in U251 cells treated with 10 ng/ml TGF-β for 72 h. GAPDH was used as a loading control. (D) Semi-quantitative analysis of the expression levels of MDM2, E-CAD, N-CAD, VIM and p53 in U251 cells treated with 10 ng/ml TGF-β for 72 h. GAPDH was used as a control. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Comparisons were made using Student's t-test. *P<0.05; **P<0.01; ***P<0.001. The control group was the U251 cell line, which was incubated with an equal volume of buffer solution. Ctrl, control; E-CAD, E-cadherin; IB, immunoblotting; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; N-CAD, N-cadherin; VIM, vimentin.
MDM2 overexpression induces EMT in U251 glioma cells
The aforementioned results demonstrated that MDM2 expression was upregulated by TGF-β-induced EMT. Furthermore, a previous study has reported that MDM2 can promote EMT in breast cancer cells (42). Therefore, clinical glioma samples were collected from patients with different pathological gradings. These tumor samples were then processed for immunohistochemistry. According to the immunohistochemistry results and positive cell quantification data, it was identified that the higher the glioma grading, the higher the protein expression levels of MDM2 (Fig. 2A). Additionally, the present study used qPCR and western blotting to analyze MDM2 gene and protein expression, respectively, in tumor samples. Similar to the immunohistochemistry findings, it was observed that the expression levels of MDM2 were positively associated with pathological grade. MDM2 expression in G3 glioma samples was the highest, and it was the lowest in G1 glioma samples (Fig. 2B-D). It is well known that higher tumor pathological grades are strongly associated with higher malignancy and lower tumor differentiation, which results in higher metastatic potential (6,7). EMT is an important mechanism enabling tumor metastasis (6–8). The present data suggested that MDM2 may serve a key role in inducing EMT in glioma. Therefore, the present study aimed to determine whether MDM2 overexpression could induce EMT in U251 cells. pLenti-CMV-MDM2-GFP-puro (Fig. S1A) was a flexible and convenient tool for studying MDM2 expression by tracking green fluorescence by microscopy. Recombinant lentiviral plasmid (pLenti-CMV-MDM2-GFP-puro) was co-transfected into 293T packaging cells to generate MDM2-GFP lentivirus. In the control group, empty vector pLenti-CMV-Puro was used. After 36 h, green fluorescence was observed (Fig. S1C), and the virus was then collected and concentrated by ultracentrifugation. Viral titers were measured, and then the virus was added to U251 cells. After purification, green fluorescence was observed in stable puro positive U251 cells (Fig. S1D). Stable control U251 cells and stable U251 cells overexpressing MDM2-GFP were collected, and total RNA was extracted. The gene expression levels of MDM2, p53, E-CAD, N-CAD and VIM were analyzed (Fig. 2E). Subsequently, band intensity was quantified by SqRT-PCR (Fig. 2E). As shown by the quantification data, MDM2 overexpression significantly decreased the gene expression levels of E-CAD and significantly increased the gene expression levels of N-CAD and VIM at the same time. This suggested that EMT had been successfully induced compared with the control group (Fig. 2E and F). qPCR was also used to verify these in stable control U251 cells and stable U251 cells overexpressing MDM2-GFP (Fig. 2F). p53 gene expression was also decreased significantly compared with the control group due to the degradation of p53 by MDM2 overexpression (Fig. 2E and F). MDM2, p53, E-CAD, N-CAD and VIM protein expression in stable control U251 cells and stable U251 cells overexpressing MDM2-GFP was then analyzed by western blotting. Consistent with the gene expression data, MDM2 overexpression significantly decreased the protein expression levels of E-CAD and p53, and markedly increased the protein expression levels of N-CAD and VIM (Fig. 2G). MDM2 overexpression and control U251 cell lines were then used for RNA-Seq. GSEA revealed that the EMT pathway gene set was closely associated with the expression levels of MDM2 compared with the control group (Fig. 2H). Overall, MDM2 overexpression could induce EMT in U251 cells.
Figure 2.
MDM2 overexpression induces EMT in U251 cells. (A) Immunohistochemical staining of MDM2 and quantification of positive MDM2 cells in 10 HPFs. Data are from clinical patient glioma samples that represented 5–6 patients from each group. Scale bars, 50 µm. (B) qPCR analyses of MDM2 expression in indicated clinical patient glioma samples (three randomly selected samples per group). GAPDH served as a control. (C) Immunoblot analyses of MDM2 expression in indicated clinical patient glioma samples. GAPDH served as a loading control. (D) Densitometric quantitation of the relative expression levels of the MDM2 protein in the clinical patient glioma samples. n=3 independent experiments. (E) MDM2, p53 and EMT levels were analyzed by semi-quantitative reverse transcription PCR. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. (F) MDM2, p53 and E-CAD, N-CAD and VIM expression was analyzed by qPCR. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. (G) Immunoblot analyses and semi-quantitative analysis of the expression levels of MDM2, E-CAD, N-CAD, VIM and p53 in stable MDM2 overexpression cells and control cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. (H) Gene Set Enrichment Analysis plot for U251 cells showing the most significantly changed EMT pathway gene set. Note that the EMT gene signature was significantly upregulated upon expression of MDM2 but downregulated upon expression of empty vector. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Statistical significance was analyzed using an unpaired Student's t-test in (E, F and G) Statistical significance was analyzed using one-way ANOVA with Tukey's post hoc test to correct for multiple comparisons in (A, B and D). *P<0.05; **P<0.01; ***P<0.001 vs. G1 or as indicated. Ctrl, control; E-CAD, E-cadherin; EMT, epithelial-to-mesenchymal transition; GFP, green fluorescent protein; HPFs, high-power fields; IB, immunoblotting; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; N-CAD, N-cadherin; qPCR, quantitative PCR; VIM, vimentin.
MDM2 overexpression induces EMT in A549 and MCF7 cancer cells
The aforementioned results demonstrated that overexpression of MDM2 could promote EMT in the U251glioma cell line. Subsequently, the present study examined whether MDM2 overexpression induced EMT in other cancer cell lines. Lentivirus from 293T cells was added to the A549lung cancer cell line to yield control A549 cells and A549 cells stably overexpressing MDM2-GFP. Green fluorescence was observed in stable A549 cells after purification (Fig. S1E), and the gene and protein expression levels of MDM2-GFP were assessed by qPCR (Fig. S2A) and western blotting (Fig. S2B). Subsequently, the gene expression levels of E-CAD, N-CAD and VIM were determined by SqRT-PCR and qPCR in these two stable A549 cell lines (Fig. 3A and B). As shown in the quantification analysis, MDM2 overexpression significantly decreased the gene expression levels of E-CAD and significantly increased the gene expression levels of N-CAD and VIM. Furthermore, the migration ability of these two stable cell lines was determined. Scratch wound assays were used to evaluate their migration abilities and the percentage closure of the scratch wound was quantified at 0, 24 and 48 h post injury in these two cell lines (Fig. 3C). As shown by the images of migration and quantification data, the percentage closure in the MDM2 overexpression group was higher than that in the control group at 24 and 48 h post injury (Fig. 3C). These data demonstrated that MDM2 overexpression increased the cell migration abilities of A549 cells. Additionally, E-CAD, N-CAD and VIM protein expression was analyzed by western blotting (Fig. 3D and E). Consistently, MDM2 overexpression significantly decreased the protein expression levels of E-CAD and significantly increased the protein expression levels of N-CAD and VIM (Fig. 3D and E). Therefore, the present data demonstrated that MDM2 overexpression induced EMT in the A549lung cancer cell line. Furthermore, this was also tested in the MCF7breast cancer cell line. Green fluorescence was observed in stable MCF7 cells after purification (Fig. S1F), and gene and protein expression levels of MDM2-GFP were assessed by qPCR (Fig. S2C) and western blotting (Fig. S2D). According to SqRT-PCR, qPCR and western blotting data, MDM2 overexpression also induced EMT in MCF7 cells (Fig. 3F-H). Therefore, overexpression of MDM2 promoted EMT in a number of cancer cell lines.
Figure 3.
MDM2 overexpression induces EMT in A549 and MCF7 cells. (A) EMT levels were analyzed by SqRT-PCR. GAPDH served as a control. Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. (B) E-CAD, N-CAD and VIM levels were analyzed by qPCR in a A549 stable cell line. Ctrl referred to the A549 cell line with stable overexpression plenti-CMV-puro empty vector. GAPDH served as a control. (C) Migration of MDM2-GFP-overexpressing A549 cells (magnification, ×100) and control cells (magnification, ×100) at 0, 24 and 48 h after wounding. Data are presented as the percentage closure of each scratch at 0, 24 and 48 h after wounding. MDM2 overexpression significantly induced cell migration in A549 cells. Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. (D) E-CAD, N-CAD and VIM levels were analyzed by western blotting in a MDM2-overexpressing A549 stable cell line and A549 control cells. Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. (E) Semi-quantification of the relative expression levels of the E-CAD, N-CAD and VIM levels in a MDM2-overexpressing A549 stable cell line and A549 control cells. n=3 independent experiments. Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. (F) EMT levels were analyzed by SqRT-PCR in MCF7 stable cell lines. Ctrl referred to the MCF7 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a control. (G) E-CAD, N-CAD and VIM levels were analyzed by qPCR in MCF7 stable cell lines. Ctrl referred to the MCF7 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a control. (H and I) E-CAD, N-CAD and VIM expression was analyzed by western blotting in MCF7 stable cell lines. Ctrl referred to the MCF7 cell line with stable overexpression of plenti-CMV-puro empty vector. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Comparisons were made using Student's t-test. *P<0.05; **P<0.01; ***P<0.001. Ctrl, control; E-CAD, E-cadherin; EMT, epithelial-to-mesenchymal transition; GFP, green fluorescent protein; IB, immunoblotting; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; N-CAD, N-cadherin; qPCR, quantitative PCR; SqRT-PCR, semi-quantitative reverse transcription PCR; VIM, vimentin.
MDM2 induces EMT by activating B-Raf signaling
Previously, it was demonstrated that MDM2 promoted EMT in glioma cells (U251), lung cancer cells (A549) and breast cancer cells (MCF7). However, the mechanism by which MDM2 induced EMT was not clear. Therefore, the present study aimed to determine the mechanism driving this EMT. It was previously identified that the protein expression levels of E-CAD, N-CAD and VIM were altered, and the gene levels were also altered. This suggested that the transcription factors that control EMT may have been upregulated when MDM2 was overexpressed. Snail, Slug and ZEB1 are the most important transcriptional factors of EMT (Fig. 4A) (6,43,44). Therefore, Snail, Slug and ZEB1 protein expression was analyzed by western blotting in stable MDM2-overexpressing U251 cells and control U251 cells. As shown in the semi-quantification data, MDM2 overexpression significantly upregulated the protein expression levels of Snail, Slug and ZEB1 (Fig. 4A). Since these transcription factors were activated, the present study aimed to determine the upstream signaling pathway driving their upregulation. Therefore, GSEA was used to analyze these two stable cell lines, and revealed that the gene set for the B-Raf signaling pathway was closely associated with MDM2 expression compared with the control group (Fig. 4B). Additionally, GSEA was used to analyze whether the mTOR signaling pathway was associated with the expression levels of MDM2. However, according to the present data, no significant association was observed between the mTOR signaling pathway and MDM2 overexpression in U251 cells (data not shown). Subsequently, western blotting was used to analyze the levels of p-B-Raf, p-MEK and p-ERK to verify whether the B-Raf signaling pathway was activated by MDM2 overexpression. Consistent with the present GSEA data, western blotting demonstrated that the B-Raf signaling pathway was activated (Fig. 4C). Furthermore, the levels of p-P70S6K and p-4EBP1, downstream target genes of mTOR, were determined by western blotting (45–47). No significant changes in the levels of p-P70S6K and p-4EBP1 were detected, indicating that this process was independent of the mTOR signaling pathway (Fig. 4C). E-CAD levels were also analyzed by western blotting in stable control U251 cells and stable U251 cells overexpressing MDM2-GFP following treatment with DMSO, vemurafenib (B-Raf inhibitor) (48,49), U0126 (MEK inhibitor) (50,51) and FR180204 (ERK inhibitor) (52,53). As shown in Fig. 4, vemurafenib, U0126 and FR180204 could prevent the decrease in the protein expression of E-CAD (Fig. 4D and F). However, RSK inhibitor SL0101 did not affect the protein expression of E-CAD (Fig. 4D and F), which suggested that inhibition of B-Raf signaling could prevent MDM2 from inducing EMT. In other words, MDM2 promoted EMT by activating the B-Raf signaling pathway. Subsequently, the protein expression levels of Snail, Slug and ZEB1 were analyzed by western blotting in MDM2-overexpressing U251 cells which were treated with FR180204 and in control U251 cells (U251 cell line with stable overexpression of plenti-CMV-puro empty vector). No significant changes in the expression levels of Snail, Slug or ZEB1 were detected between the two groups by western blotting, which suggested that ERK inhibition could inhibit the increase of these EMT transcription factors (Fig. 4E). These data verified that MDM2 induced EMT by upregulating EMT transcription factors via the B-Raf signaling pathway. Additionally, the present data demonstrated that B-Raf inhibitors, MEK inhibitors and ERK inhibitors could all rescue the protein expression levels of E-CAD. RSK is a downstream protein kinase of ERK (54,55). To determine whether components downstream of ERK also participated in this process, western blotting was used to analyze E-CAD protein expression in control U251 cells and MDM2-overexpressing U251 cells treated with SL0101 (RSK inhibitor). As shown in the western blot images and semi-quantification data, only the RSK inhibitor had no effect on the protein expression levels of E-CAD (Fig. 4F), while all other drugs did have an effect. These data demonstrated that MDM2 induced EMT by upregulating EMT transcription factors via activation of ERK rather than through the ERK signaling pathway. Additionally, this mechanism was assessed in other cell lines, and E-CAD levels were analyzed by western blotting in control A549 cells and MDM2-overexpressing A549 cells treated with DMSO, vemurafenib, U0126 or FR180204. Similar to the results in U251 cells, B-Raf, MEK and ERK inhibitors could all rescue a decrease in E-CAD protein expression (Fig. 4G). Furthermore, the same experiment was repeated in MCF7 cells (Fig. 4H). To summarize, MDM2 induced EMT by upregulating EMT transcription factors via activation of ERK regulated by B-Raf.
Figure 4.
MDM2 induces epithelial-to-mesenchymal transition progression via the B-Raf signaling pathway. (A) Snail, Slug and ZEB1 expression was analyzed by western blotting in stable MDM2-overexpressing U251 cells and control U251 cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control, and semi-quantitative analysis is shown. (B) Gene Set Enrichment Analysis plot of U251 cells showing the most significantly changed B-Raf signaling pathway set. Note that the B-Raf signaling pathway was significantly upregulated upon expression of MDM2 but downregulated upon expression of empty vector. (C) Western blot analysis of the levels of p-B-Raf, p-MEK, p-ERK, p-P70S6K and p-4EBP1 in stable MDM2-overexpressing U251 cells and control U251 cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a control. (D) E-CAD levels were analyzed by western blotting in control U251 cells and stable MDM2-overexpressing U251 cells following treatment with DMSO, vemurafenib (B-Rafi at 2 µM for 24 h), U0126 (MEKi at 20 µM for 24 h) and FR180204 (ERKi at 10 µM for 24 h). Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. (E) Snail, Slug and ZEB1 levels were analyzed by western blotting in control U251 cells and stable MDM2-overexpressing U251 cells treated with FR180204 (ERKi at 10 µM for 24 h). Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a normalization control. (F) E-CAD expression was analyzed by western blotting in stable control U251 cells and stable MDM2-overexpressing U251 cells treated with Vemurafenib, U0126, FR180204 and SL0101 (RSKi at 50 µM for 24 h). Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control, and the band density was semi-quantified. (G) E-CAD expression was analyzed by western blotting in stable control A549 cells and stable MDM2-overexpressing A549 cells treated with DMSO, vemurafenib (B-Rafi at 2 µM for 24 h), U0126 (MEKi at 20 µM for 24 h), and FR180204 (ERKi at 10 µM for 24 h). Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. (H) E-CAD levels were analyzed by western blotting in stable control MCF7 cells and stable MDM2-overexpressing MCF7 cells treated with DMSO, vemurafenib (B-Rafi at 2 µM for 24 h), U0126 (MEKi at 20 µM for 24 h) or FR180204 (ERKi at 10 µM for 24 h). Ctrl referred to the MCF7 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Statistical significance was analyzed using an unpaired Student's t-test for A, and one-way ANOVA with Tukey's post hoc test was used to compare the indicated group and Ctrl in F. *P<0.05; **P<0.01; ***P<0.001; n.s., not significant vs. Ctrl or as indicated. 4EBP1, eukaryotic translation initiation factor 4E binding protein 1; BRafi, B-Raf inbibitor; Ctrl, control; E-CAD, E-cadherin; ERKi, ERK inhibitor; GFP, green fluorescent protein; IB, immunoblotting; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; MEKi, MEK inhibitor; p-, phosphorylated; P70S6K, ribosomal protein S6 kinase; RSKi, RSK inhibitor; Slug, Snail family transcriptional repressor 2; Snail, Snail family transcriptional repressor 1; T-, total; ZEB1, zinc finger E-box binding homeobox 1.
MDM2 activates B-Raf signaling through 14-3-3 and p53
As demonstrated in the aforementioned experiments, MDM2 induced EMT by upregulating EMT transcription factors through ERK. Furthermore, it was revealed that MDM2 expression was associated with the degradation of p53, thus decreasing the protein expression levels of p53 (Fig. 2E-G). Therefore, the present study aimed to explore whether the mechanism of MDM2-induced EMT depended on p53. qPCR and western blotting were used to analyze p53, E-CAD, N-CAD and VIM protein expression in control U251 cells and U251 cells overexpressing p53 together with MDM2-GFP (Figs. 5A and S2E). As shown in Fig. 5, overexpression of p53 rescued the decrease of E-CAD and inhibited the increase of N-CAD and VIM (Fig. 5A). These results indicated that the overexpression of p53 inhibited EMT induced by MDM2. In other words, MDM2-induced EMT was p53-dependent. Previous studies have reported that 14-3-3 is one of the most important p53 transcriptional targets (56–59). Notably, 14-3-3 can deactivate Raf directly and prevent its activation (24–27). The present study used western blot analysis to determine the expression levels of 14-3-3 in stable MDM2-overexpressing U251 cells and control U251 cells. As shown by the semi-quantitative analysis data, 14-3-3 expression was markedly decreased in stable MDM2-overexpressing U251 cells compared with the control group (Fig. 5B). Furthermore, as the most important downstream autophagy transcription factor of 14-3-3, transcription factor EB (TFEB) expression was decreased following MDM2 overexpression in the U251 cell line (data not shown). Previously, the relationship of 14-3-3 with B-Raf has been discussed, and it has been revealed that lower 14-3-3 expression is associated with an activated B-Raf signaling pathway (39), which was consistent with the present B-Raf signaling pathway data. Therefore, the present study aimed to verify whether MDM2 activated the B-Raf signaling pathway via 14-3-3. 14-3-3 overexpression was checked by qPCR (Fig. S2F) and MDM2, 14-3-3, E-CAD, N-CAD, VIM and p-B-Raf protein levels were analyzed by western blotting in control cells and cells stably overexpressing MDM2 together with Flag-14-3-3 (Fig. 5C). Overexpression of 14-3-3 inhibited the activation of the B-Raf signaling pathway. Notably, overexpression of 14-3-3 rescued the decrease in E-CAD and inhibited the increase in N-CAD and VIM, which meant that overexpression of 14-3-3 could prevent MDM2-induced EMT (Fig. 5C). The colony formation abilities of control cells and MDM2-overexpressing U251 cells with or without FR180204 were determined. As shown in the quantification data, MDM2 overexpression significantly increased the colony formation rate. However, this increased colony formation rate induced by MDM2 could be inhibited by treatment with an ERK inhibitor (Fig. 5D). Scratch wound assays were used to detect the migration abilities in control cells and MDM2-overexpressing U251 cells with or without FR180204 treatment. The percentage closure of the scratch was quantified at 0, 24 and 48 h after wounding. As shown in the images of the migration and the quantification data, the percentage closure of the scratch in the MDM2 overexpression group was higher than that in the control group at 24 and 48 h post wounding (Fig. 5E). However, there was no significant difference between MDM2 U251 cells treated with FR180204 and the control group, which meant that the migration ability was inhibited by ERK inhibition in MDM2 U251 cells (Fig. 5E). To summarize, MDM2 induced EMT by activating the B-Raf signaling pathway through 14-3-3, which depended on p53.
Figure 5.
MDM2-mediated B-Raf signaling pathway activation via 14-3-3 is dependent on p53. (A) MDM2, p53, E-CAD, N-CAD and VIM protein expression was analyzed by western blotting in control U251 cells and stable MDM2-overexpressing U251 cells transfected with pcDNA3.1-p53. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. (B) Western blot analysis of the expression levels of 14-3-3 in stable MDM2-overexpressing U251 cells and control U251 cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. Semi-quantitative analysis data are shown. (C) MDM2, 14-3-3, E-CAD, N-CAD, VIM and p-B-Raf protein expression was analyzed by western blotting in control U251 cells and stable MDM2-overexpressing U251 cells expressing Flag-14-3-3. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. (D) Colony formation assay for control U251 cells, stable MDM2-overexpressing U251 cells and stable MDM2-overexpressing U251 cells treated with FR180204 (ERKi at 10 µM). Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. Data are presented as the mean ± SD percentage of colonies for each group after 14 days (bottom). n=3 independent experiments. (E) Images of the migration of control U251 cells (magnification, ×100), stable MDM2-GFP overexpressing U251 cells (magnification, ×100) and stable MDM2-GFP-overexpressing U251 cells treated with FR180204 (ERKi at 10 µM) (magnification, ×100) at 0, 24 and 48 h after wounding. MDM2 could induce cell migration in U251 cells and FR180204 treatment could rescue this cell migration in scratch wound assays. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Statistical significance was analyzed using an unpaired Student's t-test in B, and one-way ANOVA with Tukey's post hoc test was used to compare the indicated group and Ctrl or two indicated groups in D and E. **P<0.01; ***P<0.001; n.s., not significant vs. Ctrl or as indicated. 14-3-3, tyrosine 3-monooxygenase activation protein ε; Ctrl, control; E-CAD, E-cadherin; ERKi, ERK inhibitor; GFP, green fluorescent protein; IB, immunoblotting; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; N-CAD, N-cadherin; p-, phosphorylated; T-, total; VIM, vimentin.
B-Raf signaling, which is activated by MDM2, can promote glioma xenograft tumor progression
To assess whether MDM2 activated B-Raf signaling function in tumor progression, a xenograft model was established in NOD/SCIDmice with U251tumors. In agreement with the colony formation data (Fig. 5D), MDM2 expression accelerated tumor growth. By contrast, tumor growth was significantly inhibited when MDM2 was overexpressed together with 14-3-3 or when treated with an ERK inhibitor (Fig. 6A-C). These results indicated that the MDM2-activated B-Raf signaling pathway promoted clonogenicity and glioma xenograft tumor growth.
Figure 6.
B-Raf signaling, which is activated by MDM2, can promote glioma xenograft tumor progression. (A) Representative images of tumors of NOD/SCID mice bearing U251 ×enografts stably expressing empty vector, MDM2, MDM2 together with 14-3-3 or MDM2 together with an ERK inhibitor. Tumors isolated on day 28 after subcutaneous injection. Ctrl referred to tumors, which were injected with the stable overexpression of plenti-CMV-puro empty vector U251 cell line. Data are from one representative animal of 5–6 animals from each group. (B) Tumor weight from experiment in (A) upon autopsy at day 28 post injection. Ctrl referred to tumors, which were injected with the stable overexpression of plenti-CMV-puro empty vector U251 cell line. Results are presented as the mean weight (g) ± SD for 5–6 mice per group. (C) Tumor volume of xenografts formed after subcutaneous injection of NOD/SCID mice with U251 cells stably expressing indicated plasmids. Ctrl referred to tumors, which were injected with the stable overexpression of plenti-CMV-puro empty vector U251 cell line. Results are presented as the mean volume ± SD for 5–6 mice per group per time point. (D) Immunohistochemical staining of E-cadherin and N-cadherin in indicated U251 ×enograft tumor genotypes (magnification, ×400). Data are from 1 animal that was representative of the 5–6 animals from each group (n=5-6 mice per group). Ctrl referred to tumors, which were injected with the stable overexpression of plenti-CMV-puro empty vector U251 cell line. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Comparisons were made using Student's t-test. ***P<0.001; n.s., not significant. 14-3-3, tyrosine 3-monooxygenase activation protein ε; Ctrl, control; GFP, green fluorescent protein; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase.
Immunohistochemical analyses also demonstrated increased N-CAD expression and decreased E-CAD expression in U251 ×enografts expressing MDM2, which represented the occurrence of an EMT process (Fig. 6D). Loss of E-cadherin has been associated with accelerated tumor progression and metastasis (6,7). By contrast, EMT was inhibited in xenografts overexpressing MDM2 together with 14-3-3 or those treated with an ERK inhibitor (Fig. 6D). This demonstrated a partial EMT-like process in MDM2tumors, which was reversed in tumors which overexpressed Flag 14-3-3 or were treated with FR180204. Collectively, these results indicated that the B-Raf signaling pathway serves as a downstream effector of MDM2, contributing to tumor progression and higher metastatic potential.
MDM2 promotes cell insensitivity to drug treatment by inducing EMT
It has been reported that EMT contributes to cancer cell resistance to chemotherapy agents (30–32). According to previous studies, numerous chemicals have little or no effect on cells that have undergone EMT in a number of cancer types, for example breast cancer cells and glioma (30–32). Therefore, the present study aimed to explore whether MDM2 could promote cell insensitivity to drug treatment by inducing EMT. Silibinin, also known as silybin, is a promising cancer treatment drug (60,61). The present study aimed to determine whether overexpression of MDM2 could affect drug sensitivities. First, stable overexpression MDM2 U251 cells and control cells were treated with indicated doses of silibinin (0, 10, 20, 40, 60, 80, 100 and 200 µM) and cell viability was determined using an MTT assay after 24 h. As shown in the quantification data, control cells were more sensitive to 40, 60, 80 and 100 µM silibinin treatment than MDM2-U251 cells at 24 h (Fig. 7A). Subsequently, an MTT assay was used again after 48 h in these two cell lines. Similar to the data from 24 h, control cells were more sensitive to silibinin treatment than MDM2-U251 cells at 48 h (Fig. 7B). This suggested that MDM2 promoted cell insensitivity to silibinin by inducing EMT in the U251glioma cell line. Furthermore, this was verified in an A549 cell model. As shown in the quantification data, control cells were more sensitive to 20, 40, 60 and 80 µM silibinin treatment than MDM2-GFP cells at 48 h in A549 cell model (Fig. 7C). Control cells were more sensitive to 20–200 µM silibinin treatment than MDM2-GFP cells in an MCF7 cell model (Fig. 7D). According to previous literature reports, silibinin inhibits the relevant pathways for angiogenesis and decreases the expression of VEGF and other related genes (35,36). Therefore, total mRNA was subjected to SqRT-PCR to analyze changes in VEGF expression in U251 cells (Fig. 7E). MDM2, β-arrestin1, β-arrestin2, MMP-2, MMP-9 and VEGF expression was analyzed by qPCR (Fig. 7F). According to SqRT-PCR and qPCR, MDM2 overexpression rescued the decreased expression of β-arrestin1, β-arrestin2, MMP-2, MMP-9 and VEGF, which are downstream genes of silibinin. Subsequently, the changes in VEGF expression were also verified by SqRT-PCR in A549 and MCF7 cell models (Fig. 7G and H). Therefore, MDM2 induced EMT by upregulating EMT transcription factors via activation of the B-Raf signaling pathway through 14-3-3, and this depended on p53. Subsequently, the EMT induced by MDM2 could promote cell insensitivity to drug treatment (Fig. 8).
Figure 7.
MDM2 overexpression prevents sensitivity to growth inhibition by silibinin in U251, A549 and MCF7 cells. (A) After cells were treated with the indicated doses of silibinin (0, 10, 20, 40, 60, 80, 100 or 200 µM), cell viabilities were determined using an MTT assay after 24 h in control U251 cells and MDM2-overexpressing U251 cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. (B) After cells were treated with the indicated doses of silibinin (0, 10, 20, 40, 60, 80, 100 and 200 µM), cell proliferation were determined using an MTT assay after 48 h in control U251 cells and MDM2-overexpressing U251 cells. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. (C) After cells were treated with the indicated doses of silibinin (0, 10, 20, 40, 60, 80, 100 and 200 µM), cell proliferation were determined using an MTT assay after 48 h in control A549 cells and MDM2-overexpressing A549 cells. Ctrl referred to the A549 cell line with stable overexpression of plenti-CMV-puro empty vector. (D) After cells were treated with the indicated doses of silibinin (0, 10, 20, 40, 60, 80, 100 and 200 µM), cell proliferation were determined using an MTT assay after 48 h in control MCF7 cells and MDM2-overexpressing MCF7 cells. Ctrl referred to the MCF7 cell line with stable overexpression of plenti-CMV-puro empty vector. (E) Control U251 cells and MDM2-overexpressing U251 cells were treated with the indicated doses of silibinin (80 and 100 µM) for 48 h, and total mRNA was subjected to SqRT-PCR to analyze VEGF expression. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a normalization control. (F) Total mRNA from control U251 cells and MDM2-overexpressing U251 cells was subjected to quantitative PCR to analyze the changes in MDM2, β-arrestin1, β-arrestin2, MMP-2, MMP-9 and VEGF expression. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH was used as a control. Quantitative analysis data are shown. (G) Control A549 cells and MDM2-overexpressing A549 cells were treated with the indicated doses of silibinin (80 and 100 µM) for 48 h, and then total mRNA was subjected to SqRT-PCR to analyze VEGF expression. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a control. (H) Control MCF7 cells and MDM2-overexpressing MCF7 cells were treated with the indicated doses of silibinin (80 and 100 µM) for 48 h, and then total mRNA was subjected to SqRT-PCR to analyze changes in VEGF expression. Ctrl referred to the U251 cell line with stable overexpression of plenti-CMV-puro empty vector. GAPDH served as a normalization control. For all quantifications, data are presented as the mean ± SD derived from three independent experiments. Statistical significance was analyzed using an unpaired Student's t-test in (F), and one-way ANOVA with Tukey's post hoc test was used to compare the indicated group and the 0 µM group within the Ctrl type, or the indicated group and the 0 µM group within the MDM2-GFP type, or two indicated groups in A-D. *P<0.05; **P<0.01; ***P<0.001 vs. 0 µM group or as indicated. β-arrestin1, subtype 1 of β-arrestin protein family; β-arrestin2, subtype 2 of β-arrestin protein family; Ctrl, control; GFP, green fluorescent protein; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; SqRT-PCR, semi-quantitative reverse transcription PCR.
Figure 8.
Model of MDM2-mediated B-Raf signaling pathway activation through 14-3-3 inducing p53-dependent EMT progression and altering cell sensitivities to cancer drugs. MDM2 may regulate the transcriptional activity of the EMT transcription factors Snail, Slug and ZEB1 through B-Raf and p53-dependent mechanisms, resulting in decreased net production of 14-3-3, which can activate B-Raf. Activation of B-Raf induces the B-Raf signaling pathway. Subsequently, ERK1/2 activates the EMT transcription factors Snail, Slug and ZEB1, which promotes EMT progression. EMT progression induces cells to have different sensitivities to drugs in cell lines and tumors. 14-3-3, tyrosine 3-monooxygenase activation protein ε; EMT, epithelial-to-mesenchymal transition; MDM2, MDM2 proto-oncogene, E3 ubiquitin protein ligase; Slug, Snail family transcriptional repressor 2; Snail, Snail family transcriptional repressor 1; ZEB1, zinc finger E-box binding homeobox 1.
Discussion
The present study utilized SqRT-PCR, qPCR, GSEA, scratch wound assays and western blotting, and revealed that MDM2 overexpression increased migration and induced EMT in three cell models. EMT serves a crucial role in tumor development (6). The present data regarding MDM2 provide a novel direction for tumor research. MDM2 is involved in the invasion and metastasis of tumor cells (62,63). MDM2 overexpression can increase the expression of EMT transcranial factors, such as Snail, Slug and ZEB1; however, these factors are not only associated with EMT (62–64). MDM2 can take part in other physiological mechanisms by regulating Snail, Slug and ZEB1 (64,65). Previous studies have reported that Raf/MEK/ERK signaling serves a role in the EMT process (39,66). The present study explored the mechanism of Raf/MEK/ERK signaling involved in and affecting EMT. Using scratch wound assays, colony formation assays, western blotting and in vivo experiments, it was demonstrated that B-Raf-MEK-ERK signaling serves as a downstream effector of MDM2.The present study also demonstrated that the B-Raf-MEK-ERK signaling pathway was activated, while the mTOR signaling pathway and ERK downstream RSK pathway were not involved in the EMT process induced by MDM2. The Raf/MEK/ERK signaling pathway is associated with other important physiological mechanisms, such as autophagy and lysosome biogenesis (67,68). However, to the best of our knowledge, whether MDM2 may also take part in autophagy and lysosome biogenesis through the Raf/MEK/ERK signaling pathway is unclear. According to the present in vitro and in vivo experiments, MDM2 activated the B-Raf signaling pathway, and induced EMT and tumor progression through 14-3-3. The present data highlighted an important research direction for future cancer research.The most important finding of the present study was that it revealed the relationship between MDM2 and 14-3-3. 14-3-3 is involved in regulating multiple cellular processes. There is growing evidence that 14-3-3 serves an important role in humancancer and neurological diseases (17–23). Therefore, it was hypothesized that MDM2 may also participate in these important processes through 14-3-3 regulation. Importantly, 14-3-3 is an important regulator of the autophagy transcription factor TFEB (69–71). The preliminary experimental data has indicated that MDM2 decreased TFEB expression in the U251 cell line (data not shown). Whether MDM2 participates in autophagy management through 14-3-3 regulation of TFEB remains unclear.A significant amount of evidence has indicated that the actions of MDM2 and p53 are closely related. MDM2 inhibits p53 by ubiquitinating and degrading p53 (2,3). p53 is a widely studied factor associated with apoptosis and other related mechanisms (72,73). Therefore, MDM2 may be used in clinical therapy of the numerous diseases in which p53 is involved. EMT has been reported to contribute to cancer cells becoming resistant to chemotherapy agents (74,75). The present study indicated that MDM2 promoted cell insensitivity to silibinin treatment by inducing EMT in three cell models. However, the mechanism of EMT-induced drug sensitivity is still unclear (76). The present study also demonstrated possible directions for future research investigating the association between MDM2 and drug resistance in clinical settings.Although the present study revealed a novel mechanism of the MDM2-induced EMT process and indicated that MDM2 promote cell insensitivity to silibinin treatment, whether MDM2 influences other biological mechanisms through the BRAF signaling pathway or not is unclear. The preliminary experimental data has indicated that MDM2 decreased TFEB expression (data not shown). It is unknown whether MDM2 can interfere with autophagy and lysosomal signals through TFEB, which is an important autophagy-lysosomal transcription factor. The current hypothesis that autophagy inhibition may promote tumor inhibition and chemosensitivity is largely based on studies of anti-tumor effects of the lysosomotropic agent or its derivatives in combination cancer chemotherapy (39,66). In addition, previous studies have uncovered a unappreciated role for TFEB-mediated autophagy-lysosomal activation in suppressing TGF-β signaling, and revealed that TFEB blockade enhances TGF-β secretion and signaling (67,68). These studies have demonstrated an association between B-Raf, TFEB, TGF-β-EMT, autophagy and tumor resistance. However, the relationship between MDM2, autophagy-lysosome, TFEB and tumor chemosensitivity is unknown. Therefore, it is important to understand the association between MDM2 and autophagy and chemosensitivity in future studies. At least, the present study provided theoretical support to explore these mechanisms.In conclusion, MDM2 induced EMT by upregulating EMT transcription factors via activation of the B-Raf signaling pathway through 14-3-3, and this depended on p53 (Fig. 8). This finding will become a crucial paradigm for research in cancer therapy and can provide novel research directions for future biological and clinical research.
Authors: Nicholas P D Liau; Timothy J Wendorff; John G Quinn; Micah Steffek; Wilson Phung; Peter Liu; Jia Tang; Flaviyan J Irudayanathan; Saeed Izadi; Andrey S Shaw; Shiva Malek; Sarah G Hymowitz; Jawahar Sudhamsu Journal: Nat Struct Mol Biol Date: 2020-01-27 Impact factor: 15.369
Authors: Benny Zhitomirsky; Anna Yunaev; Roman Kreiserman; Ariel Kaplan; Michal Stark; Yehuda G Assaraf Journal: Cell Death Dis Date: 2018-12-13 Impact factor: 8.469
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Hua Feng; Yibin Feng; Yuchen Feng; Thomas A Ferguson; Álvaro F Fernández; Maite G Fernandez-Barrena; Jose C Fernandez-Checa; Arsenio Fernández-López; Martin E Fernandez-Zapico; Olivier Feron; Elisabetta Ferraro; Carmen Veríssima Ferreira-Halder; Laszlo Fesus; Ralph Feuer; Fabienne C Fiesel; Eduardo C Filippi-Chiela; Giuseppe Filomeni; Gian Maria Fimia; John H Fingert; Steven Finkbeiner; Toren Finkel; Filomena Fiorito; Paul B Fisher; Marc Flajolet; Flavio Flamigni; Oliver Florey; Salvatore Florio; R Andres Floto; Marco Folini; Carlo Follo; Edward A Fon; Francesco Fornai; Franco Fortunato; Alessandro Fraldi; Rodrigo Franco; Arnaud Francois; Aurélie François; Lisa B Frankel; Iain Dc Fraser; Norbert Frey; Damien G Freyssenet; Christian Frezza; Scott L Friedman; Daniel E Frigo; Dongxu Fu; José M Fuentes; Juan Fueyo; Yoshio Fujitani; Yuuki Fujiwara; Mikihiro Fujiya; Mitsunori Fukuda; Simone Fulda; Carmela Fusco; Bozena Gabryel; Matthias Gaestel; Philippe Gailly; Malgorzata Gajewska; Sehamuddin Galadari; Gad Galili; Inmaculada Galindo; Maria F Galindo; Giovanna Galliciotti; Lorenzo Galluzzi; Luca Galluzzi; Vincent Galy; Noor Gammoh; Sam Gandy; Anand K Ganesan; Swamynathan Ganesan; Ian G Ganley; Monique Gannagé; Fen-Biao Gao; Feng Gao; Jian-Xin Gao; Lorena García Nannig; Eleonora García Véscovi; Marina Garcia-Macía; Carmen Garcia-Ruiz; Abhishek D Garg; Pramod Kumar Garg; Ricardo Gargini; Nils Christian Gassen; Damián Gatica; Evelina Gatti; Julie Gavard; Evripidis Gavathiotis; Liang Ge; Pengfei Ge; Shengfang Ge; Po-Wu Gean; Vania Gelmetti; Armando A Genazzani; Jiefei Geng; Pascal Genschik; Lisa Gerner; Jason E Gestwicki; David A Gewirtz; Saeid Ghavami; Eric Ghigo; Debabrata Ghosh; Anna Maria Giammarioli; Francesca Giampieri; Claudia Giampietri; Alexandra Giatromanolaki; Derrick J Gibbings; Lara Gibellini; Spencer B Gibson; Vanessa Ginet; Antonio Giordano; Flaviano Giorgini; Elisa Giovannetti; Stephen E Girardin; Suzana Gispert; Sandy Giuliano; Candece L Gladson; Alvaro Glavic; Martin Gleave; Nelly Godefroy; Robert M Gogal; Kuppan Gokulan; Gustavo H Goldman; Delia Goletti; Michael S Goligorsky; Aldrin V Gomes; Ligia C Gomes; Hernando Gomez; Candelaria Gomez-Manzano; Rubén Gómez-Sánchez; Dawit Ap Gonçalves; Ebru Goncu; Qingqiu Gong; Céline Gongora; Carlos B Gonzalez; Pedro Gonzalez-Alegre; Pilar Gonzalez-Cabo; Rosa Ana González-Polo; Ing Swie Goping; Carlos Gorbea; Nikolai V Gorbunov; Daphne R Goring; Adrienne M Gorman; Sharon M Gorski; Sandro Goruppi; Shino Goto-Yamada; Cecilia Gotor; Roberta A Gottlieb; Illana Gozes; Devrim Gozuacik; Yacine Graba; Martin Graef; Giovanna E Granato; Gary Dean Grant; Steven Grant; Giovanni Luca Gravina; Douglas R Green; Alexander Greenhough; Michael T Greenwood; Benedetto Grimaldi; Frédéric Gros; Charles Grose; Jean-Francois Groulx; Florian Gruber; Paolo Grumati; Tilman Grune; Jun-Lin Guan; Kun-Liang Guan; Barbara Guerra; Carlos Guillen; Kailash Gulshan; Jan Gunst; Chuanyong Guo; Lei Guo; Ming Guo; Wenjie Guo; Xu-Guang Guo; Andrea A Gust; Åsa B Gustafsson; Elaine Gutierrez; Maximiliano G Gutierrez; Ho-Shin Gwak; Albert Haas; James E Haber; Shinji Hadano; Monica Hagedorn; David R Hahn; Andrew J Halayko; Anne Hamacher-Brady; Kozo Hamada; Ahmed Hamai; Andrea Hamann; Maho Hamasaki; Isabelle Hamer; Qutayba Hamid; Ester M Hammond; Feng Han; Weidong Han; James T Handa; John A Hanover; Malene Hansen; Masaru Harada; Ljubica Harhaji-Trajkovic; J Wade Harper; Abdel Halim Harrath; Adrian L Harris; James Harris; Udo Hasler; Peter Hasselblatt; Kazuhisa Hasui; Robert G Hawley; Teresa S Hawley; Congcong He; Cynthia Y He; Fengtian He; Gu He; Rong-Rong He; Xian-Hui He; You-Wen He; Yu-Ying He; Joan K Heath; Marie-Josée Hébert; Robert A Heinzen; Gudmundur Vignir Helgason; Michael Hensel; Elizabeth P Henske; Chengtao Her; Paul K Herman; Agustín Hernández; Carlos Hernandez; Sonia Hernández-Tiedra; Claudio Hetz; P Robin Hiesinger; Katsumi Higaki; Sabine Hilfiker; Bradford G Hill; Joseph A Hill; William D Hill; Keisuke Hino; Daniel Hofius; Paul Hofman; Günter U Höglinger; Jörg Höhfeld; Marina K Holz; Yonggeun Hong; David A Hood; Jeroen Jm Hoozemans; Thorsten Hoppe; Chin Hsu; Chin-Yuan Hsu; Li-Chung Hsu; Dong Hu; Guochang Hu; Hong-Ming Hu; Hongbo Hu; Ming Chang Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Ya Hua; Canhua Huang; Huey-Lan Huang; Kuo-How Huang; Kuo-Yang Huang; Shile Huang; Shiqian Huang; Wei-Pang Huang; Yi-Ran Huang; Yong Huang; Yunfei Huang; Tobias B Huber; Patricia Huebbe; Won-Ki Huh; Juha J Hulmi; Gang Min Hur; James H Hurley; Zvenyslava Husak; Sabah Na Hussain; Salik Hussain; Jung Jin Hwang; Seungmin Hwang; Thomas Is Hwang; Atsuhiro Ichihara; Yuzuru Imai; Carol Imbriano; Megumi Inomata; Takeshi Into; Valentina Iovane; Juan L Iovanna; Renato V Iozzo; Nancy Y Ip; Javier E Irazoqui; Pablo Iribarren; Yoshitaka Isaka; Aleksandra J Isakovic; Harry Ischiropoulos; Jeffrey S Isenberg; Mohammad Ishaq; Hiroyuki Ishida; Isao Ishii; Jane E Ishmael; Ciro Isidoro; Ken-Ichi Isobe; Erika Isono; Shohreh Issazadeh-Navikas; Koji Itahana; Eisuke Itakura; Andrei I Ivanov; Anand Krishnan V Iyer; José M Izquierdo; Yotaro Izumi; Valentina Izzo; Marja Jäättelä; Nadia Jaber; Daniel John Jackson; William T Jackson; Tony George Jacob; Thomas S Jacques; Chinnaswamy Jagannath; Ashish Jain; Nihar Ranjan Jana; Byoung Kuk Jang; Alkesh Jani; Bassam Janji; Paulo Roberto Jannig; Patric J Jansson; Steve Jean; Marina Jendrach; Ju-Hong Jeon; Niels Jessen; Eui-Bae Jeung; Kailiang Jia; Lijun Jia; Hong Jiang; Hongchi Jiang; Liwen Jiang; Teng Jiang; Xiaoyan Jiang; Xuejun Jiang; Xuejun Jiang; Ying Jiang; Yongjun Jiang; Alberto Jiménez; Cheng Jin; Hongchuan Jin; Lei Jin; Meiyan Jin; Shengkan Jin; Umesh Kumar Jinwal; Eun-Kyeong Jo; Terje Johansen; Daniel E Johnson; Gail Vw Johnson; James D Johnson; Eric Jonasch; Chris Jones; Leo Ab Joosten; Joaquin Jordan; Anna-Maria Joseph; Bertrand Joseph; Annie M Joubert; Dianwen Ju; Jingfang Ju; Hsueh-Fen Juan; Katrin Juenemann; Gábor Juhász; Hye Seung Jung; Jae U Jung; Yong-Keun Jung; Heinz Jungbluth; Matthew J Justice; Barry Jutten; Nadeem O Kaakoush; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Bertrand Kaeffer; Katarina Kågedal; Alon Kahana; Shingo Kajimura; Or Kakhlon; Manjula Kalia; Dhan V Kalvakolanu; Yoshiaki Kamada; Konstantinos Kambas; Vitaliy O Kaminskyy; Harm H Kampinga; Mustapha Kandouz; Chanhee Kang; Rui Kang; Tae-Cheon Kang; Tomotake Kanki; Thirumala-Devi Kanneganti; Haruo Kanno; Anumantha G Kanthasamy; Marc Kantorow; Maria Kaparakis-Liaskos; Orsolya Kapuy; Vassiliki Karantza; Md Razaul Karim; Parimal Karmakar; Arthur Kaser; Susmita Kaushik; Thomas Kawula; A Murat Kaynar; Po-Yuan Ke; Zun-Ji Ke; John H Kehrl; Kate E Keller; Jongsook Kim Kemper; Anne K Kenworthy; Oliver Kepp; Andreas Kern; Santosh Kesari; David Kessel; Robin Ketteler; Isis do Carmo Kettelhut; Bilon Khambu; Muzamil Majid Khan; Vinoth Km Khandelwal; Sangeeta Khare; Juliann G Kiang; Amy A Kiger; Akio Kihara; Arianna L Kim; Cheol Hyeon Kim; Deok Ryong Kim; Do-Hyung Kim; Eung Kweon Kim; Hye Young Kim; Hyung-Ryong Kim; Jae-Sung Kim; Jeong Hun Kim; Jin Cheon Kim; Jin Hyoung Kim; Kwang Woon Kim; Michael D Kim; Moon-Moo Kim; Peter K Kim; Seong Who Kim; Soo-Youl Kim; Yong-Sun Kim; Yonghyun Kim; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Jason S King; Karla Kirkegaard; Vladimir Kirkin; Lorrie A Kirshenbaum; Shuji Kishi; Yasuo Kitajima; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Rudolf A Kley; Walter T Klimecki; Michael Klinkenberg; Jochen Klucken; Helene Knævelsrud; Erwin Knecht; Laura Knuppertz; Jiunn-Liang Ko; Satoru Kobayashi; Jan C Koch; Christelle Koechlin-Ramonatxo; Ulrich Koenig; Young Ho Koh; Katja Köhler; Sepp D Kohlwein; Masato Koike; Masaaki Komatsu; Eiki Kominami; Dexin Kong; Hee Jeong Kong; Eumorphia G Konstantakou; Benjamin T Kopp; Tamas Korcsmaros; Laura Korhonen; Viktor I Korolchuk; Nadya V Koshkina; Yanjun Kou; Michael I Koukourakis; Constantinos Koumenis; Attila L Kovács; Tibor Kovács; Werner J Kovacs; Daisuke Koya; Claudine Kraft; Dimitri Krainc; Helmut Kramer; Tamara Kravic-Stevovic; Wilhelm Krek; Carole Kretz-Remy; Roswitha Krick; Malathi Krishnamurthy; Janos Kriston-Vizi; Guido Kroemer; Michael C Kruer; Rejko Kruger; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Christian Kuhn; Addanki Pratap Kumar; Anuj Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Rakesh Kumar; Sharad Kumar; Mondira Kundu; Hsing-Jien Kung; Atsushi Kuno; Sheng-Han Kuo; Jeff Kuret; Tino Kurz; Terry Kwok; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert R La Spada; Frank Lafont; Tim Lahm; Aparna Lakkaraju; Truong Lam; Trond Lamark; Steve Lancel; Terry H Landowski; Darius J R Lane; Jon D Lane; Cinzia Lanzi; Pierre Lapaquette; Louis R Lapierre; Jocelyn Laporte; Johanna Laukkarinen; Gordon W Laurie; Sergio Lavandero; Lena Lavie; Matthew J LaVoie; Betty Yuen Kwan Law; Helen Ka-Wai Law; Kelsey B Law; Robert Layfield; Pedro A Lazo; Laurent Le Cam; Karine G Le Roch; Hervé Le Stunff; Vijittra Leardkamolkarn; Marc Lecuit; Byung-Hoon Lee; Che-Hsin Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Hsinyu Lee; Jae Keun Lee; Jongdae Lee; Ju-Hyun Lee; Jun Hee Lee; Michael Lee; Myung-Shik Lee; Patty J Lee; Sam W Lee; Seung-Jae Lee; Shiow-Ju Lee; Stella Y Lee; Sug Hyung Lee; Sung Sik Lee; Sung-Joon Lee; Sunhee Lee; Ying-Ray Lee; Yong J Lee; Young H Lee; Christiaan Leeuwenburgh; Sylvain Lefort; Renaud Legouis; Jinzhi Lei; Qun-Ying Lei; David A Leib; Gil Leibowitz; Istvan Lekli; Stéphane D Lemaire; John J Lemasters; Marius K Lemberg; Antoinette Lemoine; Shuilong Leng; Guido Lenz; Paola Lenzi; Lilach O Lerman; Daniele Lettieri Barbato; Julia I-Ju Leu; Hing Y Leung; Beth Levine; Patrick A Lewis; Frank Lezoualc'h; Chi Li; Faqiang Li; Feng-Jun Li; Jun Li; Ke Li; Lian Li; Min Li; Min Li; Qiang Li; Rui Li; Sheng Li; Wei Li; Wei Li; Xiaotao Li; Yumin Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Yulin Liao; Joana Liberal; Pawel P Liberski; Pearl Lie; Andrew P Lieberman; Hyunjung Jade Lim; Kah-Leong Lim; Kyu Lim; Raquel T Lima; Chang-Shen Lin; Chiou-Feng Lin; Fang Lin; Fangming Lin; Fu-Cheng Lin; Kui Lin; Kwang-Huei Lin; Pei-Hui Lin; Tianwei Lin; Wan-Wan Lin; Yee-Shin Lin; Yong Lin; Rafael Linden; Dan Lindholm; Lisa M Lindqvist; Paul Lingor; Andreas Linkermann; Lance A Liotta; Marta M Lipinski; Vitor A Lira; Michael P Lisanti; Paloma B Liton; Bo Liu; Chong Liu; Chun-Feng Liu; Fei Liu; Hung-Jen Liu; Jianxun Liu; Jing-Jing Liu; Jing-Lan Liu; Ke Liu; Leyuan Liu; Liang Liu; Quentin Liu; Rong-Yu Liu; Shiming Liu; Shuwen Liu; Wei Liu; Xian-De Liu; Xiangguo Liu; Xiao-Hong Liu; Xinfeng Liu; Xu Liu; Xueqin Liu; Yang Liu; Yule Liu; Zexian Liu; Zhe Liu; Juan P Liuzzi; Gérard Lizard; Mila Ljujic; Irfan J Lodhi; Susan E Logue; Bal L Lokeshwar; Yun Chau Long; Sagar Lonial; Benjamin Loos; Carlos López-Otín; Cristina López-Vicario; Mar Lorente; Philip L Lorenzi; Péter Lõrincz; Marek Los; Michael T Lotze; Penny E Lovat; Binfeng Lu; Bo Lu; Jiahong Lu; Qing Lu; She-Min Lu; Shuyan Lu; Yingying Lu; Frédéric Luciano; Shirley Luckhart; John Milton Lucocq; Paula Ludovico; Aurelia Lugea; Nicholas W Lukacs; Julian J Lum; Anders H Lund; Honglin Luo; Jia Luo; Shouqing Luo; Claudio Luparello; Timothy Lyons; Jianjie Ma; Yi Ma; Yong Ma; Zhenyi Ma; Juliano Machado; Glaucia M Machado-Santelli; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; John D MacMicking; Lee Ann MacMillan-Crow; Frank Madeo; Muniswamy Madesh; Julio Madrigal-Matute; Akiko Maeda; Tatsuya Maeda; Gustavo Maegawa; Emilia Maellaro; Hannelore Maes; Marta Magariños; Kenneth Maiese; Tapas K Maiti; Luigi Maiuri; Maria Chiara Maiuri; Carl G Maki; Roland Malli; Walter Malorni; Alina Maloyan; Fathia Mami-Chouaib; Na Man; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Serge N Manié; Claudia Manzoni; Kai Mao; Zixu Mao; Zong-Wan Mao; Philippe Marambaud; Anna Maria Marconi; Zvonimir Marelja; Gabriella Marfe; Marta Margeta; Eva Margittai; Muriel Mari; Francesca V Mariani; Concepcio Marin; Sara Marinelli; Guillermo Mariño; Ivanka Markovic; Rebecca Marquez; Alberto M Martelli; Sascha Martens; Katie R Martin; Seamus J Martin; Shaun Martin; Miguel A Martin-Acebes; Paloma Martín-Sanz; Camille Martinand-Mari; Wim Martinet; Jennifer Martinez; Nuria Martinez-Lopez; Ubaldo Martinez-Outschoorn; Moisés Martínez-Velázquez; Marta Martinez-Vicente; Waleska Kerllen Martins; Hirosato Mashima; James A Mastrianni; Giuseppe Matarese; Paola Matarrese; Roberto Mateo; Satoaki Matoba; Naomichi Matsumoto; Takehiko Matsushita; Akira Matsuura; Takeshi Matsuzawa; Mark P Mattson; Soledad Matus; Norma Maugeri; Caroline Mauvezin; Andreas Mayer; Dusica Maysinger; Guillermo D Mazzolini; Mary Kate McBrayer; Kimberly McCall; Craig McCormick; Gerald M McInerney; Skye C McIver; Sharon McKenna; John J McMahon; Iain A McNeish; Fatima Mechta-Grigoriou; Jan Paul Medema; Diego L Medina; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Yide Mei; Ute-Christiane Meier; Alfred J Meijer; Alicia Meléndez; Gerry Melino; Sonia Melino; Edesio Jose Tenorio de Melo; Maria A Mena; Marc D Meneghini; Javier A Menendez; Regina Menezes; Liesu Meng; Ling-Hua Meng; Songshu Meng; Rossella Menghini; A Sue Menko; Rubem Fs Menna-Barreto; Manoj B Menon; Marco A Meraz-Ríos; Giuseppe Merla; Luciano Merlini; Angelica M Merlot; Andreas Meryk; Stefania Meschini; Joel N Meyer; Man-Tian Mi; Chao-Yu Miao; Lucia Micale; Simon Michaeli; Carine Michiels; Anna Rita Migliaccio; Anastasia Susie Mihailidou; Dalibor Mijaljica; Katsuhiko Mikoshiba; Enrico Milan; Leonor Miller-Fleming; Gordon B Mills; Ian G Mills; Georgia Minakaki; Berge A Minassian; Xiu-Fen Ming; Farida Minibayeva; Elena A Minina; Justine D Mintern; Saverio Minucci; Antonio Miranda-Vizuete; Claire H Mitchell; Shigeki Miyamoto; Keisuke Miyazawa; Noboru Mizushima; Katarzyna Mnich; Baharia Mograbi; Simin Mohseni; Luis Ferreira Moita; Marco Molinari; Maurizio Molinari; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Marco Mongillo; Martha M Monick; Serena Montagnaro; Craig Montell; Darren J Moore; Michael N Moore; Rodrigo Mora-Rodriguez; Paula I Moreira; Etienne Morel; Maria Beatrice Morelli; Sandra Moreno; Michael J Morgan; Arnaud Moris; Yuji Moriyasu; Janna L Morrison; Lynda A Morrison; Eugenia Morselli; Jorge Moscat; Pope L Moseley; Serge Mostowy; Elisa Motori; Denis Mottet; Jeremy C Mottram; Charbel E-H Moussa; Vassiliki E Mpakou; Hasan Mukhtar; Jean M Mulcahy Levy; Sylviane Muller; Raquel Muñoz-Moreno; Cristina Muñoz-Pinedo; Christian Münz; Maureen E Murphy; James T Murray; Aditya Murthy; Indira U Mysorekar; Ivan R Nabi; Massimo Nabissi; Gustavo A Nader; Yukitoshi Nagahara; Yoshitaka Nagai; Kazuhiro Nagata; Anika Nagelkerke; Péter Nagy; Samisubbu R Naidu; Sreejayan Nair; Hiroyasu Nakano; Hitoshi Nakatogawa; Meera Nanjundan; Gennaro Napolitano; Naweed I Naqvi; Roberta Nardacci; Derek P Narendra; Masashi Narita; Anna Chiara Nascimbeni; Ramesh Natarajan; Luiz C Navegantes; Steffan T Nawrocki; Taras Y Nazarko; Volodymyr Y Nazarko; Thomas Neill; Luca M Neri; Mihai G Netea; Romana T Netea-Maier; Bruno M Neves; Paul A Ney; Ioannis P Nezis; Hang Tt Nguyen; Huu Phuc Nguyen; Anne-Sophie Nicot; Hilde Nilsen; Per Nilsson; Mikio Nishimura; Ichizo Nishino; Mireia Niso-Santano; Hua Niu; Ralph A Nixon; Vincent Co Njar; Takeshi Noda; Angelika A Noegel; Elsie Magdalena Nolte; Erik Norberg; Koenraad K Norga; Sakineh Kazemi Noureini; Shoji Notomi; Lucia Notterpek; Karin Nowikovsky; Nobuyuki Nukina; Thorsten Nürnberger; Valerie B O'Donnell; Tracey O'Donovan; Peter J O'Dwyer; Ina Oehme; Clara L Oeste; Michinaga Ogawa; Besim Ogretmen; Yuji Ogura; Young J Oh; Masaki Ohmuraya; Takayuki Ohshima; Rani Ojha; Koji Okamoto; Toshiro Okazaki; F Javier Oliver; Karin Ollinger; Stefan Olsson; Daniel P Orban; Paulina Ordonez; Idil Orhon; Laszlo Orosz; Eyleen J O'Rourke; Helena Orozco; Angel L Ortega; Elena Ortona; Laura D Osellame; Junko Oshima; Shigeru Oshima; Heinz D Osiewacz; Takanobu Otomo; Kinya Otsu; Jing-Hsiung James Ou; Tiago F Outeiro; Dong-Yun Ouyang; Hongjiao Ouyang; Michael Overholtzer; Michelle A Ozbun; P Hande Ozdinler; Bulent Ozpolat; Consiglia Pacelli; Paolo Paganetti; Guylène Page; Gilles Pages; Ugo Pagnini; Beata Pajak; Stephen C Pak; Karolina Pakos-Zebrucka; Nazzy Pakpour; Zdena Palková; Francesca Palladino; Kathrin Pallauf; Nicolas Pallet; Marta Palmieri; Søren R Paludan; Camilla Palumbo; Silvia Palumbo; Olatz Pampliega; Hongming Pan; Wei Pan; Theocharis Panaretakis; Aseem Pandey; Areti Pantazopoulou; Zuzana Papackova; Daniela L Papademetrio; Issidora Papassideri; Alessio Papini; Nirmala Parajuli; Julian Pardo; Vrajesh V Parekh; Giancarlo Parenti; Jong-In Park; Junsoo Park; Ohkmae K Park; Roy Parker; Rosanna Parlato; Jan B Parys; Katherine R Parzych; Jean-Max Pasquet; Benoit Pasquier; Kishore Bs Pasumarthi; Daniel Patschan; Cam Patterson; Sophie Pattingre; Scott Pattison; Arnim Pause; Hermann Pavenstädt; Flaminia Pavone; Zully Pedrozo; Fernando J Peña; Miguel A Peñalva; Mario Pende; Jianxin Peng; Fabio Penna; Josef M Penninger; Anna Pensalfini; Salvatore Pepe; Gustavo Js Pereira; Paulo C Pereira; Verónica Pérez-de la Cruz; María Esther Pérez-Pérez; Diego Pérez-Rodríguez; Dolores Pérez-Sala; Celine Perier; Andras Perl; David H Perlmutter; Ida Perrotta; Shazib Pervaiz; Maija Pesonen; Jeffrey E Pessin; Godefridus J Peters; Morten Petersen; Irina Petrache; Basil J Petrof; Goran Petrovski; James M Phang; Mauro Piacentini; Marina Pierdominici; Philippe Pierre; Valérie Pierrefite-Carle; Federico Pietrocola; Felipe X Pimentel-Muiños; Mario Pinar; Benjamin Pineda; Ronit Pinkas-Kramarski; Marcello Pinti; Paolo Pinton; Bilal Piperdi; James M Piret; Leonidas C Platanias; Harald W Platta; Edward D Plowey; Stefanie Pöggeler; Marc Poirot; Peter Polčic; Angelo Poletti; Audrey H Poon; Hana Popelka; Blagovesta Popova; Izabela Poprawa; Shibu M Poulose; Joanna Poulton; Scott K Powers; Ted Powers; Mercedes Pozuelo-Rubio; Krisna Prak; Reinhild Prange; Mark Prescott; Muriel Priault; Sharon Prince; Richard L Proia; Tassula Proikas-Cezanne; Holger Prokisch; Vasilis J Promponas; Karin Przyklenk; Rosa Puertollano; Subbiah Pugazhenthi; Luigi Puglielli; Aurora Pujol; Julien Puyal; Dohun Pyeon; Xin Qi; Wen-Bin Qian; Zheng-Hong Qin; Yu Qiu; Ziwei Qu; Joe Quadrilatero; Frederick Quinn; Nina Raben; Hannah Rabinowich; Flavia Radogna; Michael J Ragusa; Mohamed Rahmani; Komal Raina; Sasanka Ramanadham; Rajagopal Ramesh; Abdelhaq Rami; Sarron Randall-Demllo; Felix Randow; Hai Rao; V Ashutosh Rao; Blake B Rasmussen; Tobias M Rasse; Edward A Ratovitski; Pierre-Emmanuel Rautou; Swapan K Ray; Babak Razani; Bruce H Reed; Fulvio Reggiori; Markus Rehm; Andreas S Reichert; Theo Rein; David J Reiner; Eric Reits; Jun Ren; Xingcong Ren; Maurizio Renna; Jane Eb Reusch; Jose L Revuelta; Leticia Reyes; Alireza R Rezaie; Robert I Richards; Des R Richardson; Clémence Richetta; Michael A Riehle; Bertrand H Rihn; Yasuko Rikihisa; Brigit E Riley; Gerald Rimbach; Maria Rita Rippo; Konstantinos Ritis; Federica Rizzi; Elizete Rizzo; Peter J Roach; Jeffrey Robbins; Michel Roberge; Gabriela Roca; Maria Carmela Roccheri; Sonia Rocha; Cecilia Mp Rodrigues; Clara I Rodríguez; Santiago Rodriguez de Cordoba; Natalia Rodriguez-Muela; Jeroen Roelofs; Vladimir V Rogov; Troy T Rohn; Bärbel Rohrer; Davide Romanelli; Luigina Romani; Patricia Silvia Romano; M Isabel G Roncero; Jose Luis Rosa; Alicia Rosello; Kirill V Rosen; Philip Rosenstiel; Magdalena Rost-Roszkowska; Kevin A Roth; Gael Roué; Mustapha Rouis; Kasper M Rouschop; Daniel T Ruan; Diego Ruano; David C Rubinsztein; Edmund B Rucker; Assaf Rudich; Emil Rudolf; Ruediger Rudolf; Markus A Ruegg; Carmen Ruiz-Roldan; Avnika Ashok Ruparelia; Paola Rusmini; David W Russ; Gian Luigi Russo; Giuseppe Russo; Rossella Russo; Tor Erik Rusten; Victoria Ryabovol; Kevin M Ryan; Stefan W Ryter; David M Sabatini; Michael Sacher; Carsten Sachse; Michael N Sack; Junichi Sadoshima; Paul Saftig; Ronit Sagi-Eisenberg; Sumit Sahni; Pothana Saikumar; Tsunenori Saito; Tatsuya Saitoh; Koichi Sakakura; Machiko Sakoh-Nakatogawa; Yasuhito Sakuraba; María Salazar-Roa; Paolo Salomoni; Ashok K Saluja; Paul M Salvaterra; Rosa Salvioli; Afshin Samali; Anthony Mj Sanchez; José A Sánchez-Alcázar; Ricardo Sanchez-Prieto; Marco Sandri; Miguel A Sanjuan; Stefano Santaguida; Laura Santambrogio; Giorgio Santoni; Claudia Nunes Dos Santos; Shweta Saran; Marco Sardiello; Graeme Sargent; Pallabi Sarkar; Sovan Sarkar; Maria Rosa Sarrias; Minnie M Sarwal; Chihiro Sasakawa; Motoko Sasaki; Miklos Sass; Ken Sato; Miyuki Sato; Joseph Satriano; Niramol Savaraj; Svetlana Saveljeva; Liliana Schaefer; Ulrich E Schaible; Michael Scharl; Hermann M Schatzl; Randy Schekman; Wiep Scheper; Alfonso Schiavi; Hyman M Schipper; Hana Schmeisser; Jens Schmidt; Ingo Schmitz; Bianca E Schneider; E Marion Schneider; Jaime L Schneider; Eric A Schon; Miriam J Schönenberger; Axel H Schönthal; Daniel F Schorderet; Bernd Schröder; Sebastian Schuck; Ryan J Schulze; Melanie Schwarten; Thomas L Schwarz; Sebastiano Sciarretta; Kathleen Scotto; A Ivana Scovassi; Robert A Screaton; Mark Screen; Hugo Seca; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Jose M Seguí-Simarro; Juan Segura-Aguilar; Ekihiro Seki; Christian Sell; Iban Seiliez; Clay F Semenkovich; Gregg L Semenza; Utpal Sen; Andreas L Serra; Ana Serrano-Puebla; Hiromi Sesaki; Takao Setoguchi; Carmine Settembre; John J Shacka; Ayesha N Shajahan-Haq; Irving M Shapiro; Shweta Sharma; Hua She; C-K James Shen; Chiung-Chyi Shen; Han-Ming Shen; Sanbing Shen; Weili Shen; Rui Sheng; Xianyong Sheng; Zu-Hang Sheng; Trevor G Shepherd; Junyan Shi; Qiang Shi; Qinghua Shi; Yuguang Shi; Shusaku Shibutani; Kenichi Shibuya; Yoshihiro Shidoji; Jeng-Jer Shieh; Chwen-Ming Shih; Yohta Shimada; Shigeomi Shimizu; Dong Wook Shin; Mari L Shinohara; Michiko Shintani; Takahiro Shintani; Tetsuo Shioi; Ken Shirabe; Ronit Shiri-Sverdlov; Orian Shirihai; Gordon C Shore; Chih-Wen Shu; Deepak Shukla; Andriy A Sibirny; Valentina Sica; Christina J Sigurdson; Einar M Sigurdsson; Puran Singh Sijwali; Beata Sikorska; Wilian A Silveira; Sandrine Silvente-Poirot; Gary A Silverman; Jan Simak; Thomas Simmet; Anna Katharina Simon; Hans-Uwe Simon; Cristiano Simone; Matias Simons; Anne Simonsen; Rajat Singh; Shivendra V Singh; Shrawan K Singh; Debasish Sinha; Sangita Sinha; Frank A Sinicrope; Agnieszka Sirko; Kapil Sirohi; Balindiwe Jn Sishi; Annie Sittler; Parco M Siu; Efthimios Sivridis; Anna Skwarska; Ruth Slack; Iva Slaninová; Nikolai Slavov; Soraya S Smaili; Keiran Sm Smalley; Duncan R Smith; Stefaan J Soenen; Scott A Soleimanpour; Anita Solhaug; Kumaravel Somasundaram; Jin H Son; Avinash Sonawane; Chunjuan Song; Fuyong Song; Hyun Kyu Song; Ju-Xian Song; Wei Song; Kai Y Soo; Anil K Sood; Tuck Wah Soong; Virawudh Soontornniyomkij; Maurizio Sorice; Federica Sotgia; David R Soto-Pantoja; Areechun Sotthibundhu; Maria João Sousa; Herman P Spaink; Paul N Span; Anne Spang; Janet D Sparks; Peter G Speck; Stephen A Spector; Claudia D Spies; Wolfdieter Springer; Daret St Clair; Alessandra Stacchiotti; Bart Staels; Michael T Stang; Daniel T Starczynowski; Petro Starokadomskyy; Clemens Steegborn; John W Steele; Leonidas Stefanis; Joan Steffan; Christine M Stellrecht; Harald Stenmark; Tomasz M Stepkowski; Stęphan T Stern; Craig Stevens; Brent R Stockwell; Veronika Stoka; Zuzana Storchova; Björn Stork; Vassilis Stratoulias; Dimitrios J Stravopodis; Pavel Strnad; Anne Marie Strohecker; Anna-Lena Ström; Per Stromhaug; Jiri Stulik; Yu-Xiong Su; Zhaoliang Su; Carlos S Subauste; Srinivasa Subramaniam; Carolyn M Sue; Sang Won Suh; Xinbing Sui; Supawadee Sukseree; David Sulzer; Fang-Lin Sun; Jiaren Sun; Jun Sun; Shi-Yong Sun; Yang Sun; Yi Sun; Yingjie Sun; Vinod Sundaramoorthy; Joseph Sung; Hidekazu Suzuki; Kuninori Suzuki; Naoki Suzuki; Tadashi Suzuki; Yuichiro J Suzuki; Michele S Swanson; Charles Swanton; Karl Swärd; Ghanshyam Swarup; Sean T Sweeney; Paul W Sylvester; Zsuzsanna Szatmari; Eva Szegezdi; Peter W Szlosarek; Heinrich Taegtmeyer; Marco Tafani; Emmanuel Taillebourg; Stephen Wg Tait; Krisztina Takacs-Vellai; Yoshinori Takahashi; Szabolcs Takáts; Genzou Takemura; Nagio Takigawa; Nicholas J Talbot; Elena Tamagno; Jerome Tamburini; Cai-Ping Tan; Lan Tan; Mei Lan Tan; Ming Tan; Yee-Joo Tan; Keiji Tanaka; Masaki Tanaka; Daolin Tang; Dingzhong Tang; Guomei Tang; Isei Tanida; Kunikazu Tanji; Bakhos A Tannous; Jose A Tapia; Inmaculada Tasset-Cuevas; Marc Tatar; Iman Tavassoly; Nektarios Tavernarakis; Allen Taylor; Graham S Taylor; Gregory A Taylor; J Paul Taylor; Mark J Taylor; Elena V Tchetina; Andrew R Tee; Fatima Teixeira-Clerc; Sucheta Telang; Tewin Tencomnao; Ba-Bie Teng; Ru-Jeng Teng; Faraj Terro; Gianluca Tettamanti; Arianne L Theiss; Anne E Theron; Kelly Jean Thomas; Marcos P Thomé; Paul G Thomes; Andrew Thorburn; Jeremy Thorner; Thomas Thum; Michael Thumm; Teresa Lm Thurston; Ling Tian; Andreas Till; Jenny Pan-Yun Ting; Vladimir I Titorenko; Lilach Toker; Stefano Toldo; Sharon A Tooze; Ivan Topisirovic; Maria Lyngaas Torgersen; Liliana Torosantucci; Alicia Torriglia; Maria Rosaria Torrisi; Cathy Tournier; Roberto Towns; Vladimir Trajkovic; Leonardo H Travassos; Gemma Triola; Durga Nand Tripathi; Daniela Trisciuoglio; Rodrigo Troncoso; Ioannis P Trougakos; Anita C Truttmann; Kuen-Jer Tsai; Mario P Tschan; Yi-Hsin Tseng; Takayuki Tsukuba; Allan Tsung; Andrey S Tsvetkov; Shuiping Tu; Hsing-Yu Tuan; Marco Tucci; David A Tumbarello; Boris Turk; Vito Turk; Robin Fb Turner; Anders A Tveita; Suresh C Tyagi; Makoto Ubukata; Yasuo Uchiyama; Andrej Udelnow; Takashi Ueno; Midori Umekawa; Rika Umemiya-Shirafuji; Benjamin R Underwood; Christian Ungermann; Rodrigo P Ureshino; Ryo Ushioda; Vladimir N Uversky; Néstor L Uzcátegui; Thomas Vaccari; Maria I Vaccaro; Libuše Váchová; Helin Vakifahmetoglu-Norberg; Rut Valdor; Enza Maria Valente; Francois Vallette; Angela M Valverde; Greet Van den Berghe; Ludo Van Den Bosch; Gijs R van den Brink; F Gisou van der Goot; Ida J van der Klei; Luc Jw van der Laan; Wouter G van Doorn; Marjolein van Egmond; Kenneth L van Golen; Luc Van Kaer; Menno van Lookeren Campagne; Peter Vandenabeele; Wim Vandenberghe; Ilse Vanhorebeek; Isabel Varela-Nieto; M Helena Vasconcelos; Radovan Vasko; Demetrios G Vavvas; Ignacio Vega-Naredo; Guillermo Velasco; 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Xian Wang; Xiao-Jia Wang; Xiao-Wei Wang; Xin Wang; Xuejun Wang; Yan Wang; Yanming Wang; Ying Wang; Ying-Jan Wang; Yipeng Wang; Yu Wang; Yu Tian Wang; Yuqing Wang; Zhi-Nong Wang; Pablo Wappner; Carl Ward; Diane McVey Ward; Gary Warnes; Hirotaka Watada; Yoshihisa Watanabe; Kei Watase; Timothy E Weaver; Colin D Weekes; Jiwu Wei; Thomas Weide; Conrad C Weihl; Günther Weindl; Simone Nardin Weis; Longping Wen; Xin Wen; Yunfei Wen; Benedikt Westermann; Cornelia M Weyand; Anthony R White; Eileen White; J Lindsay Whitton; Alexander J Whitworth; Joëlle Wiels; Franziska Wild; Manon E Wildenberg; Tom Wileman; Deepti Srinivas Wilkinson; Simon Wilkinson; Dieter Willbold; Chris Williams; Katherine Williams; Peter R Williamson; Konstanze F Winklhofer; Steven S Witkin; Stephanie E Wohlgemuth; Thomas Wollert; Ernst J Wolvetang; Esther Wong; G William Wong; Richard W Wong; Vincent Kam Wai Wong; Elizabeth A Woodcock; Karen L Wright; Chunlai Wu; Defeng Wu; Gen Sheng Wu; Jian Wu; Junfang Wu; Mian Wu; Min Wu; 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