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<?release-delay 0|0?>
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2019.4717</article-id>
<article-id pub-id-type="publisher-id">ijo-54-04-1195</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Silencing of COPB2 inhibits the proliferation of gastric cancer cells and induces apoptosis via suppression of the RTK signaling pathway</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>An</surname><given-names>Caixia</given-names></name><xref rid="af1-ijo-54-04-1195" ref-type="aff">1</xref><xref rid="af2-ijo-54-04-1195" ref-type="aff">2</xref><xref rid="fn1-ijo-54-04-1195" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Hailong</given-names></name><xref rid="af3-ijo-54-04-1195" ref-type="aff">3</xref><xref rid="af4-ijo-54-04-1195" ref-type="aff">4</xref><xref rid="fn1-ijo-54-04-1195" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Xueyan</given-names></name><xref rid="af3-ijo-54-04-1195" ref-type="aff">3</xref><xref rid="af4-ijo-54-04-1195" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Jing</given-names></name><xref rid="af3-ijo-54-04-1195" ref-type="aff">3</xref><xref rid="af4-ijo-54-04-1195" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Qiang</surname><given-names>Yi</given-names></name><xref rid="af5-ijo-54-04-1195" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ye</surname><given-names>Xinhua</given-names></name><xref rid="af6-ijo-54-04-1195" ref-type="aff">6</xref></contrib>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Qiang</given-names></name><xref rid="af7-ijo-54-04-1195" ref-type="aff">7</xref></contrib>
<contrib contrib-type="author">
<name><surname>Guan</surname><given-names>Quanlin</given-names></name><xref rid="af8-ijo-54-04-1195" ref-type="aff">8</xref></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname><given-names>Yongning</given-names></name><xref rid="af1-ijo-54-04-1195" ref-type="aff">1</xref><xref rid="af2-ijo-54-04-1195" ref-type="aff">2</xref><xref ref-type="corresp" rid="c1-ijo-54-04-1195"/></contrib></contrib-group>
<aff id="af1-ijo-54-04-1195">
<label>1</label>Department of Gastroenterology, The First Hospital of Lanzhou University</aff>
<aff id="af2-ijo-54-04-1195">
<label>2</label>Key Laboratory for Gastrointestinal Diseases of Gansu Province, Lanzhou University</aff>
<aff id="af3-ijo-54-04-1195">
<label>3</label>Department of Clinical Laboratory Diagnosis, School of Clinical Medicine, Gansu University of Chinese Medicine</aff>
<aff id="af4-ijo-54-04-1195">
<label>4</label>Key Laboratory of Traditional Chinese Herbs and Prescription Innovation and Transformation of Gansu Province, Gansu University of Chinese Medicine, Lanzhou, Gansu 730000</aff>
<aff id="af5-ijo-54-04-1195">
<label>5</label>Division of Cardiac Surgery, Gansu Provincial Maternal and Child Health Hospital, Lanzhou, Gansu 730050</aff>
<aff id="af6-ijo-54-04-1195">
<label>6</label>Department of Pediatrics, The First Hospital of Lanzhou University</aff>
<aff id="af7-ijo-54-04-1195">
<label>7</label>Division of Neurosurgery, Second Hospital of Lanzhou University</aff>
<aff id="af8-ijo-54-04-1195">
<label>8</label>Department of Surgical Oncology, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, P.R. China</aff>
<author-notes>
<corresp id="c1-ijo-54-04-1195">Correspondence to: Professor Yongning Zhou, Department of Gastroenterology, The First Hospital of Lanzhou University, 1 West Donggang Road, Chengguan, Lanzhou, Gansu 730000, P.R. China, E-mail: <email>642101301@qq.com</email>; <email>yongningzhou@sina.com</email></corresp><fn id="fn1-ijo-54-04-1195" fn-type="equal">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>04</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>18</day>
<month>02</month>
<year>2019</year></pub-date>
<volume>54</volume>
<issue>4</issue>
<fpage>1195</fpage>
<lpage>1208</lpage>
<history>
<date date-type="received">
<day>19</day>
<month>07</month>
<year>2018</year></date>
<date date-type="accepted">
<day>07</day>
<month>01</month>
<year>2019</year></date></history>
<permissions>
<copyright-statement>Copyright: &#x000A9; An et al.</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license></permissions>
<abstract>
<p>Emerging studies have reported that coatomer protein complex subunit &#x003B2;2 (COPB2) is overexpressed in several types of malignant tumor; however, to the best of our knowledge, no studies regarding COPB2 in gastric cancer have been published thus far. Therefore, the present study aimed to determine the significance and function of COPB2 in gastric cancer. COPB2 expression in gastric cancer cell lines was measured using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis. In addition, lentivirus-short hairpin RNA (shRNA) COPB2 (Lv-shCOPB2) was generated and used to infect BGC-823 cells to analyze the effects of COPB2 on the cancerous phenotype. The effects of shRNA-mediated COPB2 knockdown on cell proliferation were detected using MTT, 5-bromo-2-deoxyuridine and colony formation assays. In addition, the effects of COPB2 knockdown on apoptosis were analyzed by flow cytometry. Nude mice and fluorescence imaging were used to characterize the regulation of tumor growth <italic>in vivo</italic>, and qPCR and immunohistochemistry were subsequently conducted to analyze COPB2 expression in xenograft tumor tissues. Furthermore, a receptor tyrosine kinase (RTK) signaling pathway antibody array was used to explore the relevant molecular mechanisms underlying the effects of COPB2 knockdown. The results revealed that COPB2 mRNA was abundantly overexpressed in gastric cancer cell lines, whereas knockdown of COPB2 significantly inhibited cell growth and colony formation ability, and led to increased cell apoptosis <italic>in vitro</italic>. The tumorigenicity assay revealed that knockdown of COPB2 reduced tumor growth in nude mice, and fluorescence imaging indicated that the total radiant efficiency of mice in the Lv-shCOPB2-infected group was markedly reduced compared with the mice in the Lv-shRNA control-infected group <italic>in vivo</italic>. The antibody array assay revealed that the levels of phosphorylation in 23 target RTKs were significantly reduced: In conclusion, COPB2 was highly expressed in gastric cancer cell lines, and knockdown suppressed colony formation and promoted cell apoptosis via inhibiting the RTK signaling and its downstream signaling cascade molecules. Therefore, COPB2 may present a valuable target for gene silencing strategy in gastric cancer.</p></abstract>
<kwd-group>
<kwd>coatomer protein complex subunit &#x003B2;2</kwd>
<kwd>gastric cancer</kwd>
<kwd>apoptosis</kwd>
<kwd>receptor tyrosine kinase signaling pathway</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Gastric cancer is one of the most common types of cancer, with high incidence rates in the Asia-Pacific region. In addition, it is the third most common cause of cancer-associated mortality in this region (<xref rid="b1-ijo-54-04-1195" ref-type="bibr">1</xref>); notably, high incidence rates of gastric cancer have been reported in China, Korea and Japan in the 20th century, and gastric cancer remains a key cause of morbidity and mortality worldwide (<xref rid="b2-ijo-54-04-1195" ref-type="bibr">2</xref>,<xref rid="b3-ijo-54-04-1195" ref-type="bibr">3</xref>). Gastric cancer has been ranked second in the top 10 most common cancer types, and third in the primary causes of cancer-associated mortality in China (<xref rid="b2-ijo-54-04-1195" ref-type="bibr">2</xref>). Therefore, there is an urgent need to identify and study novel targets for gene therapy, and to determine their clinical significance in early diagnosis and prognostic estimates. Coatomer protein complex subunit &#x003B2;2 (COPB2) is a subunit of a typical cytoplasmic protein complex, which binds dilysine motifs and associates with Golgi-derived nonclathrin-coated vesicles. COPB2 functions as a mediator to transport proteins from the endoplasmic reticulum to the Golgi apparatus in the process of protein biosynthesis (<xref rid="b4-ijo-54-04-1195" ref-type="bibr">4</xref>). It has previously been reported that COPB2 may be a target gene in prostate cancer cell lines (<xref rid="b5-ijo-54-04-1195" ref-type="bibr">5</xref>), whereby silencing COPB2 inhibits cell proliferation, arrests the cell cycle at G<sub>1</sub> and G<sub>2</sub> phases, and induces apoptosis. RNA interference (RNAi)-mediated knockdown of COPB2 has also been observed to significantly inhibit the growth and invasion of pulmonary cancer A549 cells (<xref rid="b6-ijo-54-04-1195" ref-type="bibr">6</xref>). Furthermore, knockdown of COPB2 inhibits the growth and colony formation ability of human colon cancer cell lines, including RKO and HCT116, and leads to cell cycle arrest at G<sub>0</sub>/G<sub>1</sub> or S phases via regulating cell cycle-associated proteins (<xref rid="b7-ijo-54-04-1195" ref-type="bibr">7</xref>). These previous findings suggested that COPB2 may be considered a promising target for cancer gene therapy. However, to the best of our knowledge, the significance and function of COPB2 in gastric cancer remains unknown. Therefore, there is an urgent requirement to investigate the effects of silencing COPB2 on the cancerous phenotype of gastric cancer cells to elucidate its role in gastric cancer tumorigenesis, and to explore the possibility of uncovering a novel potential biomarker and target gene for therapy.</p>
<p>In the present study, lentivirus-short hairpin RNA (shRNA) COPB2 (Lv-shCOPB2) was designed and constructed, and transduced into gastric cancer BGC-823 cells, in order to analyze the effects of COPB2 knockdown on the cancerous phenotype. Briefly, MTT, 5-bromo-2-deoxyuridine (BrdU) and colony formation assays were used to detect cell proliferation, and flow cytometry was conducted to analyze apoptosis. In addition, to characterize the regulatory role of COPB2 in tumor growth <italic>in vivo</italic>, a nude mouse model was constructed and fluorescence imaging was conducted, and COPB2 expression was detected in xenograft tumor tissues using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry. In addition, a receptor tyrosine kinase (RTK) signaling pathway antibody array was used to determine the molecular mechanisms underlying the effects of COPB2 knockdown.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Cell lines and culture conditions</title>
<p>The gastric cancer cell lines, BGC-823, SGC-7901, MGC-803 and MKN45, were purchased from the Type Culture Collection of Cancer Institute and Hospital, Chinese Academy of Medical Sciences (Beijing, China). The normal gastric mucous membrane epithelial cell line, GES-1, was purchased from OBiO Technology (Shanghai) Corp., Ltd. (Shanghai, China). All cell lines were cultured in Dulbecco's modified Eagle's medium (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) supplemented with 100 IU/ml penicillin, 100 <italic>&#x000B5;</italic>g/ml streptomycin and 10% heat-inactivated fetal bovine serum (Zhejiang Tianhang Biotechnology Co. Ltd., Hangzhou, China). The cells were maintained in a humidified incubator at 37&#x000B0;C in an atmosphere containing 5% CO<sub>2</sub>. Gastric cancer cells in the exponential growth phase were used for subsequent experiments.</p></sec>
<sec>
<title>Lentiviral transduction of BGC-823 cells</title>
<p>Human gastric cancer BGC-823 cells were seeded in 6-well plates at 5&#x000D7;10<sup>4</sup> cells/well and incubated at 37&#x000B0;C until 30% confluence was reached. Cells were then divided into the lentivirus-short hairpin RNA (shRNA) control group (Lv-shCtrl), where cells were infected with empty green fluorescent protein (GFP) lentiviruses (sequence: 5&#x02032;-CCGGTTCTCCGAACGTGTCACGTTTCAAGAGAACGTGACACGTTCGGAGAATTTTTG-3&#x02032;), and the Lv-shCOPB2 (sequence: 5&#x02032;-CCGGGCAGATTAGAGTGTTCAATTACTCGAGTAATTGAACACTCTAATCTG CTTTTT-3&#x02032;) group, where cells were infected with GFP-tagged Lv-shCOPB2 lentiviruses. Lentviruses were purchased from Shanghai GeneChem Co., Ltd. (Shanghai, China). A suitable amount of lentivirus (multiplicity of infection, 10) was added to the culture medium of BGC-823 cells for transduction, according to the multiplicity of infection, and the cells were incubated for a further 8 h. The medium containing lentiviruses was then removed and the cells were cultured in normal culture medium for 12 h. GFP expression was observed under a fluorescence microscope 3 days following infection, and gastric cancer cells with an infection efficiency of &#x0003E;80% were selected for subsequent analyses. Cells were harvested 48 h post-transduction for further analysis.</p></sec>
<sec>
<title>Expression of COPB2 mRNA and detection of transduction efficiency by RT-qPCR analysis</title>
<p>To determine the expression of COPB2 in gastric cancer cells and to confirm the silencing efficiency of COPB2 knockdown in BGC-823 cells, RT-qPCR analysis was conducted. Briefly, gastric cancer cells in the exponential growth phase, and BGC-823 cells infected with Lv-shCOPB2 or Lv-shCtrl, were collected and lysed for total RNA extraction using the RNAiso Plus kit (Takara Biotechnology Co., Ltd., Dalian, China). RNA purity and concentration were determined using the NanoDrop-2000 spectrophotometer (NanoDrop; Thermo Fisher Scientific, Inc., Wilmington, DE, USA). Total RNA was reverse transcribed using the Prime Script&#x02122; RT Reagent kit (Takara Biotechnology Co., Ltd.), according to manufacturer's protocol at 37&#x000B0;C for 15 min and 85&#x000B0;C for 20 sec. Subsequently, PCR amplification was performed using the SYBR<sup>&#x000AE;</sup> Premix Ex Taq&#x02122; Master Mix (Takara Biotechnology Co., Ltd.) and the Bio-Rad CFX96 Real-time PCR system (Bio-Rad Laboratories, Inc., Hercules, CA, USA). The primers used were as follows: COPB2, forward 5&#x02032;-GTGGGGACAAGCCATACCTC-3&#x02032;, reverse 5&#x02032;-GTGCTCTCAAGCCGGTAGG-3&#x02032;; and GAPDH, forward 5&#x02032;-TGACTTCAACAGCGACACCCA-3&#x02032; and reverse 5&#x02032;-CACCCTGTTGCTGTAGCCAAA-3&#x02032;. PCR was performed on a final volume of 10 <italic>&#x000B5;</italic>l, comprising 2 <italic>&#x000B5;</italic>l cDNA, 0.5 mM of each primer and 1X SYBR<sup>&#x000AE;</sup> Premix Ex Taq&#x02122; Master Mix. The amplification program was as follows: Initial denaturation step at 95&#x000B0;C for 10 min, followed by 40 cycles at 95&#x000B0;C for 10 sec, 60&#x000B0;C for 30 sec and 72&#x000B0;C for 30 sec, where fluorescence signals were acquired. Amplification was followed by a melting curve analysis, which was used to determine the dissociation characteristics of the PCR products. Each sample was run in triplicate and the mRNA expression levels of COPB2 were calculated relative to the internal reference gene, GAPDH, using the 2<sup>&#x02212;&#x00394;&#x00394;Cq</sup> method (<xref rid="b8-ijo-54-04-1195" ref-type="bibr">8</xref>).</p></sec>
<sec>
<title>Cell proliferation analysis</title>
<p>Following transduction, cells from both groups were trypsinized and counted. Cells (3&#x000D7;10<sup>3</sup> cells/well) were plated in each well of a 96-well plate (five replicate wells for each group) and incubated at 37&#x000B0;C for 24, 48, 72, 96 and 108 h. The cell counts were monitored over 5 consecutive days. Briefly, 20 <italic>&#x000B5;</italic>l MTT (5 <italic>&#x000B5;</italic>mol/l; Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) dissolved in PBS was added to each well, and the cells were incubated at 37&#x000B0;C for 4 h. Cells were subsequently centrifuged at 1,000 &#x000D7; g for 2 min before the medium was removed and 150 <italic>&#x000B5;</italic>l dimethyl sulfoxide was added to each well. After incubation at 37&#x000B0;C for 5 min, the absorbance was measured using a Benchmark microtiter plate reader (Bio-Rad Laboratories, Inc.) at a wavelength of 490 nm.</p></sec>
<sec>
<title>BrdU assay</title>
<p>BGC-823 gastric cancer cells in the Lv-shCtrl and Lv-shCOPB2 groups were seeded into triplicate wells of a 96-well plate at 2&#x000D7;10<sup>4</sup> cells/well with 100 <italic>&#x000B5;</italic>l complete medium. The following day, 20 <italic>&#x000B5;</italic>mol/ml BrdU (Roche Diagnostics, Shanghai, China) was added to the cultured cells before they were incubated with complete medium for a sufficient culture time (&#x02264;24 h). The culture medium was discarded, 200 <italic>&#x000B5;</italic>l FixDenat (Roche Diagnostics) was added to each well and cells were fixed for 30 min in the dark at room temperature. Following removal of the fixation solution, 10% bovine serum albumin (BSA: Zhejiang Tianhang Biotechnology Co. Ltd.) was added to block the cells for 30 min at room temperature in the dark. An anti-BrdU monoclonal antibody (dilution, 1:100; cat. no. 11669915001; Roche Diagnostics) with peroxidase activity was then added to the cells, which were incubated for 90 min at room temperature in the dark. The cells were subsequently washed three times with washing buffer, and the substrate solution (Component A containing luminol and 4-iodophenol + Component B containing a stabilized form of H<sub>2</sub>O<sub>2</sub>) was added (100 <italic>&#x000B5;</italic>l/well) for ~30 min at room temperature in the dark until the solution became blue in color. H<sub>2</sub>SO<sub>4</sub> (10%; 50 <italic>&#x000B5;</italic>l) was added to each well for colorimetry. The optical density was measured using a spectrophotometer microplate reader (Tecan Group, Ltd., Mannedorf, Switzerland) at 450/550 nm. Each data point was calculated from the average of six replicates and each experiment was repeated in triplicate.</p></sec>
<sec>
<title>Colony formation assay</title>
<p>BGC-823 gastric cancer cells in the Lv-shCtrl and Lv-shCOPB2 groups were digested in 0.25% trypsin and diluted to a concentration of 5&#x000D7;10<sup>4</sup> cells/ml. A hemocytometer was used to count the cells, and cell suspensions were seeded into 6-well plates at 400 cells/well. The medium was refreshed every 3 days, and cell growth was observed as normal. A total of 14 days after the cells were seeded, or at the point where the number of cells in each colony reached &#x0003E;50, the colonies were visualized under a fluorescence microscope. Cells were washed with PBS and fixed with 4% paraformaldehyde for 30 min at room temperature. The fixed cells were stained with 500 <italic>&#x000B5;</italic>l Giemsa (Beijing Dingguo Changsheng Biotechnology Co., Ltd., Beijing, China) for 20 min, washed with ddH<sub>2</sub>O and air-dried at room temperature. The total number of colonies with &#x0003E;50 cells were counted, and images were captured using light and fluorescence microscopes. The assay was repeated three times.</p></sec>
<sec>
<title>Quantification of apoptosis by flow cytometry</title>
<p>Cells were harvested using 0.25% trypsin and washed once with ice-cold (4&#x000B0;C) D-Hanks solution (pH 7.2-7.4). Cells were centrifuged at 300 &#x000D7; g for 5 min and washed with 1X binding buffer (eBioscience&#x02122; Annexin V Apoptosis Detection kit APC; cat, no. 88-8007; eBioscience; Thermo Fisher Scientific, Inc.), prior to further centrifugation at 300 &#x000D7; g for 3 min. The cells were then resuspended in 200 <italic>&#x000B5;</italic>l binding buffer to a final concentration of 10<sup>6</sup> cells/ml for subsequent analysis. The cell suspension (100 <italic>&#x000B5;</italic>l) was mixed with 10 <italic>&#x000B5;</italic>l APC Annexin V (Apoptosis Detection kit; eBioscience; Thermo Fisher Scientific, Inc.) and incubated in the dark for 15 min at room temperature. If necessary, 400-800 <italic>&#x000B5;</italic>l 1X binding buffer was added to the stained cells, according to the quantity of cells. The percentage of apoptotic cells was analyzed by flow cytometry (Guava<sup>&#x000AE;</sup> easyCyte 6HT; EMD Millipore, Billerica, MA, USA). This assay was repeated in triplicate.</p></sec>
<sec>
<title>Tumorigenesis in nude mice and in vivo imaging</title>
<p>Male BALB/c nude mice (n=20; weight, 15-19 g; age, 4 weeks; Shanghai Lingchang Biotechnology Co., Ltd., Shanghai, China) were maintained under the following conditions: Temperature, 22-24&#x000B0;C, humidity, 40-70%; <italic>ad libitum</italic> food/water access; artificial feeding for 2-3 days; 12-h light/dark cycle). Eligible nude mice were inoculated with Lv-shCOPB2-infected and Lv-shCtrl-infected BGC-823 cells. Briefly, a total of 20 mice were divided into two equal groups at random. BGC-823 cells from both groups were resuspended in physiological saline solution at a density of 5&#x000D7;10<sup>7</sup> cells/ml before a 0.2 ml cell suspension was injected subcutaneously into the mice using a 6-gauge, 1 ml syringe. The mice were maintained until the tumors were visible, and tumor diameter and size were measured 8, 11, 14, 16 and 18 days following inoculation. Tumor volume was monitored frequently and was recorded on days 8, 11, 14, 16 and 18; volume was calculated using the following formula for hemi-ellipsoids: Volume = length (cm) x width (cm) x height (cm) x 3.14/6. At 28 days following inoculation of the gastric cancer cells, the mice were injected intraperitoneally with 10 <italic>&#x000B5;</italic>l/g D-Luciferin (Shanghai Yeasen Biotechnology Co., Ltd., Shanghai, China). After 15 min, 70 mg/kg pentobarbital sodium was injected intraperitoneally to anesthetize the mice. A few minutes later, the anesthetized mice were placed under a small animal live imaging system (LT Lumina; PerkinElmer, Inc., Waltham, MA, USA) to observe the fluorescence results. The mice were then sacrificed, and the tumors were dissected and photographed. All animal experiments were performed in strict accordance with international ethical guidelines and the National Institutes of Health Guide for the Care and Use of Laboratory Animals (<xref rid="b9-ijo-54-04-1195" ref-type="bibr">9</xref>). The experiments were authorized and approved by the Institutional Animal Care and Use Committee of Gansu University of Chinese Medicine (Lanzhou, China).</p></sec>
<sec>
<title>Detection of COPB2 mRNA and protein expression in xenograft tumor tissues</title>
<p>The mRNA and protein expression levels of COPB2 were detected in xenograft tumor tissues to validate knockdown of COPB2 in gastric cancer cells. After the mice were sacrificed, the xenograft tumor tissues from both groups were dissected and collected for further detection of COPB2 mRNA and protein expression. Fresh tumor tissues were stored at &#x02212;80&#x000B0;C. COPB2 mRNA expression was detected using RT-qPCR analysis, as aforementioned. In addition, different tumor tissue sections were immediately fixed in 4% paraformaldehyde for 12 h at room temperature and embedded in paraffin for subsequent histological and immunohistochemical analysis of COPB2. To perform immunohistochemical analysis, tissues from both groups were deparaffinized and cut into thin sections (5 <italic>&#x000B5;</italic>m). All sections were rehydrated and heated for antigen retrieval with 0.3% H<sub>2</sub>O<sub>2</sub> for 30 min. Prior to staining, non-specific binding was blocked by incubation with 10% BSA in PBS at 37&#x000B0;C for 1 h. The section slides were then incubated with an anti-COPB2 primary antibody (dilution, 1:200; cat. no. HPA036867, Sigma-Aldrich; Merck KGaA) at 4&#x000B0;C overnight. The following day, slides were incubated with a biotin-conjugated secondary antibody (dilution, 1:100; cat. no. TA130016; OriGene Technologies, Inc., Rockville, MD, USA) for ~2 h at room temperature. Subsequently, horseradish enzyme (HRP) labeled streptavidin was added for 15 min to form a complex and 3,3&#x02032;-diaminobenzidine solution was added to detect HRP activity. The tissue sections were also stained with hematoxylin and eosin (H&#x00026;E) for 10 min at 37&#x000B0;C to analyze the growth of xenograft tumor tissues with a microscope (Leica DM2700M; Leica Microsystems GmbH, Wetzlar, Germany). The staining percentage was graded as follows: 0 (0-5%), 1 (6-20%), 2 (21-60%) and 3 (61-100%), and the staining intensity was graded as follows: 0 (negative), 1 (weak), 2 (moderate) and 3 (strong). The final sum of the staining percentage and intensity scores was considered the staining score (0-6). Tumors with final staining scores of 0, 1, 2-4 and 5 or 6 were considered negative (&#x02212;), slightly positive (+), moderately positive (++) and strongly positive (+++), respectively; the method was described in previous reports (<xref rid="b10-ijo-54-04-1195" ref-type="bibr">10</xref>,<xref rid="b11-ijo-54-04-1195" ref-type="bibr">11</xref>).</p></sec>
<sec>
<title>PathScan<sup>&#x000AE;</sup> RTK signaling antibody array assay</title>
<p>To investigate the activation of intracellular signaling pathways associated with tumor growth, the PathScan<sup>&#x000AE;</sup> RTK Signaling Antibody array (Cell Signaling Technology, Inc., Danvers, MA, USA) was used, according to the manufacturer's protocol. This antibody array is a slide-based antibody array that uses the sandwich immunoassay principle for the detection of signaling nodes and downstream target nodes that have undergone phosphorylation of tyrosine or other residues. Briefly, a total of 5 days post-lentiviral infection, BGC-823 cells were collected and lysed. Detection of COPB2-silenced and negative control cells was performed in triplicate. Images were captured by briefly exposing the slide to obtain the chemiluminescent film signal at all sites of the array slide, and aberrantly expressed protein targets were compared and calculated between two groups.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>All experimental data are expressed as the means &#x000B1; standard deviation from at least three separate experiments. Statistical analyses were performed using a Student's two-tailed t-test or one-way analysis of variance, and Dunnett method was used to test multiple comparisons. P&#x0003C;0.05 was considered to indicate a statistically significant difference, and all statistical analyses were performed using SPSS 17.0 software (SPSS Inc., Chicago, IL, USA).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>COPB2 is upregulated in gastric cancer cell lines</title>
<p>To investigate COPB2 expression in gastric cancer cell lines, RT-qPCR analysis was employed to analyze its expression in four gastric cancer cell lines (BGC-823, SGC-7901, MGC-803 and MKN45) and the normal gastric mucous membrane epithelial cell line, GES-1. The results demonstrated that COPB2 mRNA expression was increased in all four gastric cancer cell lines compared with in the GES-1 cell line (<xref rid="f1-ijo-54-04-1195" ref-type="fig">Fig. 1</xref>).</p></sec>
<sec>
<title>Efficiency of shRNA-mediated COPB2 knockdown in gastric cancer cells</title>
<p>BGC-823 cells infected with Lv-shCtrl or Lv-shCOPB2 were observed under a fluorescence microscope to determine infection efficiency, and the infection rate was measured by monitoring GFP fluorescence emitted by cells. The results indicated that the infection efficiency was &#x0003E;80% (<xref rid="f2-ijo-54-04-1195" ref-type="fig">Fig. 2A and B</xref>). As determined by RT-qPCR analysis, the mRNA expression levels of COPB2 were significantly decreased in the Lv-shCOPB2 group, with a knockdown efficiency of 78.9% (P&#x0003C;0.01; <xref rid="f2-ijo-54-04-1195" ref-type="fig">Fig. 2C</xref>). These findings indicated that lentivirus-mediated targeting of COPB2 effectively silenced COPB2 expression in the BGC-823 gastric cancer cell line.</p></sec>
<sec>
<title>COPB2 silencing inhibits gastric cancer cell proliferation</title>
<p>The MTT assay results demonstrated that the number and fold-change in proliferation of cells in the Lv-shCOPB2 group was markedly reduced when compared with the Lv-shCtrl group at 4 and 5 days following transduction of BGC-823 cells (P&#x0003C;0.05; <xref rid="f3-ijo-54-04-1195" ref-type="fig">Fig. 3A</xref>). These findings suggested that knockdown of COPB2 may be associated with a reduction in cell proliferation. The BrdU thymidine analog naturally incorporates into the DNA of proliferating cells during cell division. In the present study, the effects of COPB2 knockdown on BrdU incorporation were measured. Cell proliferation in the Lv-shCOPB2 group was significantly reduced compared with the in Lv-shCtrl group at 4 days following transduction (P&#x0003C;0.05; <xref rid="f3-ijo-54-04-1195" ref-type="fig">Fig. 3B</xref>). Therefore, the results of the BrdU incorporation assay indicated that inhibition of COPB2 expression may significantly suppress the proliferation of BGC-823 cells.</p></sec>
<sec>
<title>COPB2 silencing induces cell apoptosis</title>
<p>In order to investigate the effects of COPB2 knockdown on apoptosis of BGC-823 cells, the levels of apoptosis were compared in Lv-shCOPB2 and Lv-shCtrl groups. The apoptotic rate was measured and evaluated by flow cytometry. The percentage of apoptotic BGC-823 cells in the Lv-shCOPB2 group was significantly higher compared with in the Lv-shCtrl group (P&#x0003C;0.001; <xref rid="f4-ijo-54-04-1195" ref-type="fig">Fig. 4A and B</xref>). These results suggested that knockdown of COPB2 may affect cell survival and induce apoptosis.</p></sec>
<sec>
<title>COPB2 silencing reduces gastric cancer cell colony formation</title>
<p>A colony formation assay is used to assess the proliferative potential of cells. In the present study, the colony formation assay results demonstrated that the Lv-shCOPB2 group formed significantly fewer colonies in soft agar when compared with the Lv-shCtrl group (P&#x0003C;0.001; <xref rid="f5-ijo-54-04-1195" ref-type="fig">Fig. 5A and B</xref>). These results indicated that silencing COPB2 may reduce the anchorage-independent proliferative potential of BGC-823 gastric cancer cells.</p></sec>
<sec>
<title>COPB2 silencing inhibits tumor growth in vivo</title>
<p>To confirm the results of COPB2 knockdown <italic>in vitro</italic>, an <italic>in vivo</italic> mouse tumorigenesis model, where mice were injected with BGC-823 cells from the Lv-shCtrl or Lv-shCOPB2 groups, was generated. Over the course of 18 days, the rate of tumor growth and the tumor volume were significantly reduced at 14, 16 and 18 days following injection with BGC-823 cells in the Lv-shCOPB2 group compared with in the Lv-shCtrl group (P&#x0003C;0.05). The results of tumor weight analysis revealed that COPB2-silenced BGC-823 cells generated smaller subcutaneous xenograft tumors in nude mice compared with in the Lv-shCtrl group (P&#x0003C;0.05; <xref rid="f6-ijo-54-04-1195" ref-type="fig">Fig. 6A-C</xref>). The results demonstrated that silencing COPB2 using the Lv-shCOPB2 vector may significantly inhibit the tumorigenicity of BGC-823 cells in a xenograft nude mouse model.</p>
<p>In order to confirm that knockdown of COPB2 was directly associated with the observed effects on tumor growth, a fluorescence imaging test was also conducted using a small animal live imaging system, which monitors the fluorescence signals emitted from cells and tissues. The Lv-shCOPB2-infected and Lv-shCtrl-infected BGC-823 cells were also transduced with GFP; therefore, tumor xenografts in both groups emit fluorescence signals when triggered by specific fluorescence in the live imaging system. The recorded fluorescence signal was used to calculate the total radiant efficiency, which reflects the number of xenograft tumor cells. The fluorescence imaging results demonstrated that the total radiant efficiency of mice in the Lv-shCOPB2-infected group was markedly reduced compared with in the Lv-shCtrl-infected group (P&#x0003C;0.05; <xref rid="f7-ijo-54-04-1195" ref-type="fig">Fig. 7A and B</xref>). These results confirmed successful infection of BGC-823 cells with the lentiviral vectors and verified the effects of COPB2 on cell proliferation <italic>in vivo</italic>.</p></sec>
<sec>
<title>Validation of COPB2 silencing effects in xenograft tumor tissues</title>
<p>In order to confirm that COPB2 was successfully silenced in xenograft tumor tissues at the mRNA and protein levels, RT-qPCR, histological and immunohistochemical methods were employed to analyze COPB2 expression. The results indicated that the mRNA expression levels of COPB2 were significantly lower in xenograft tumor tissues from mice in the Lv-shCOPB2 group compared with in the Lv-shCtrl group (<xref rid="f8-ijo-54-04-1195" ref-type="fig">Fig. 8A</xref>). H&#x00026;E analysis of tissues from the Lv-shCtrl group indicated that the tumor cells were scattered and varied in size, the nuclei were enlarged, and exhibited intense staining. A high degree of pathological mitosis in this group was observed, as characterized by an abundance of cell nuclei, and a marked number of large tumor cells was detected. In addition, necrotic areas were observed in tumor tissues. H&#x00026;E staining analysis of tissues from the Lv-shCOPB2 group also indicated that the tumor cells were scattered and varied in size, the nuclei were enlarged, and exhibited intense staining. A high degree of pathological mitosis was also observed in this group; however, only a small number of multinucleated giant cells were identified in the tumor tissues. In addition, a number of small necrotic areas were observed scattered throughout the tumor tissues (<xref rid="f8-ijo-54-04-1195" ref-type="fig">Fig. 8B</xref>). Immunohistochemical staining analysis of Lv-shCtrl group tissues indicated that COPB2 expression could be observed in the cytoplasm of tumor cells and was markedly increased in the cytoplasm of tumor cells surrounding the necrotic regions. Immunohistochemical analysis of Lv-shCOPB2 group tissues demonstrated that the expression of COPB2 was increased in the cytoplasm of tumor cells and in the central region of the tumor cell mass. In conclusion, COPB2 expression in the Lv-shCOPB2 group tissues was markedly lower than in the Lv-shCtrl group tissues (<xref rid="f8-ijo-54-04-1195" ref-type="fig">Fig. 8C</xref>).</p></sec>
<sec>
<title>COPB2 silencing induces alterations in the RTK signaling pathway</title>
<p>Tyrosine kinases serve important roles in the modulation of growth factor signaling pathways; therefore, the PathScan<sup>&#x000AE;</sup> RTK Signaling Pathway Antibody array was employed to investigate the regulatory mechanisms underlying the effects of COPB2 silencing on the tumorigenesis of BGC-823 gastric cancer cells. The results demonstrated that knockdown of COPB2 significantly downregulated the expression (to varying degrees) of phosphorylated target factors from the RTK signaling pathway (n=23 in total), including epidermal growth factor receptor (EGFR)/ErbB1, human epidermal growth factor receptor (HER)2/ErbB2, HER3/ErbB3, fibroblast growth factor receptor (FGFR)4, insulin receptor (InsR), tropomyosin-related kinase (Trk)A/neurotrophic receptor tyrosine kinase (NTRK)1, TrkB/NTRK2, recepteur d'origine nantais (Ron)/macrophage stimulating 1 receptor (MST1R), Ret, c-Kit/stem cell growth factor receptor (SCFR), FMS-like receptor tyrosine kinase 3 (FLT3)/Flk2, EPH receptor (Eph)A3, EphB1, EphB4, TYRO3 protein tyrosine kinase (TYRO3)/Dtk, vascular endothelial growth factor receptor (VEGFR)2/kinase insert domain receptor (KDR), Akt/PKB/Rac (Thr308), Akt/PKB/Rac (Ser473), ribosomal S6 kinase (RSK), c-Abl, Src, Lck and signal transducer and activator of transcription 3 (Stat3; P&#x0003C;0.05 or P&#x0003C;0.01; <xref rid="f9-ijo-54-04-1195" ref-type="fig">Fig. 9</xref> and <xref rid="tI-ijo-54-04-1195" ref-type="table">Table I</xref>). These results indicated that COPB2 affects the proliferation of BGC-823 cells potentially via the phosphorylation-activated RTK signaling pathway. In addition, knockdown of COPB2 decreased the expression levels of downstream targets of the RTK signaling pathway in gastric cancer cells, indicating that RTKs and downstream targets may serve important roles in the apoptosis of COPB2-silenced BGC-823 cells. Further studies are required to clarify the function and regulatory mechanisms of COPB2 in gastric cancer development.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In the present study, the mRNA expression levels of COPB2 were abundant in gastric cancer cell lines, including MKN-45, MGC-803, BGC-823 and SGC-7901 cells. In addition, silencing of COPB2 expression inhibited gastric cancer cell proliferation <italic>in vitro</italic> and <italic>in vivo</italic>, and reduced cell colony formation and induced apoptosis of BGC-823 cells. These data indicated that COPB2 upregulation may serve an essential role in mediating the tumorigenicity of human gastric cancer cells. In addition, these observations provided strong evidence to suggest that COPB2 may contribute to the pathogenesis of gastric cancer, as indicated by the anti-proliferative and apoptosis-inducing effects of COPB2 knockdown. Therefore, COPB2 may represent a novel promising target for gene therapy of gastric cancer. The results of the current study were consistent with the results of COPB2 silencing in prostate cancer cells (<xref rid="b5-ijo-54-04-1195" ref-type="bibr">5</xref>), lung adenocarcinoma cells (<xref rid="b6-ijo-54-04-1195" ref-type="bibr">6</xref>) and colon cancer cells (<xref rid="b7-ijo-54-04-1195" ref-type="bibr">7</xref>), whereby cell growth was inhibited and apoptosis was increased. Taken together, these data suggested that COPB2 may serve an essential role in gastric cancer cell growth. In addition, the size of gastric cancer tumors was significantly decreased when COPB2 expression was silenced, indicating that downregulation of COPB2 may inhibit the progression of gastric cancer cells. Furthermore, silencing of COPB2 using lentivirus-mediated shRNA effectively downregulated gastric cancer progression in BGC-823 cells potentially via the RTK signaling pathway.</p>
<p>The PathScan<sup>&#x000AE;</sup> RTK Signaling Antibody Array kit (Fluorescent Readout) is a slide-based antibody array product based on the sandwich immunoassay principle. This array kit is capable of simultaneously detecting the levels of 28 RTKs and 11 important signaling nodes that have been phosphorylated at tyrosine or other residues. RTKs, such as cell surface receptors, emit signals primarily via tyrosine phosphorylation reactions, which alter the function of downstream growth factors, including EGF, nerve growth factor, platelet-derived growth factor (PDGF), VEGF, FGF, insulin-like growth factor (IGF), ephrins and angiopoietins. RTKs activate a wide range of downstream signaling cascades, including the phosphatidylinositol 3-kinase (PI3K)/Akt, mitogen-activated protein kinase (MAPK) and Janus kinase (Jak)/Stat signaling pathways (<xref rid="b12-ijo-54-04-1195" ref-type="bibr">12</xref>). It is known that these pathways modulate fundamental cellular functions, including cell division, growth, metabolism, differentiation, migration and survival.</p>
<p>In addition to these normal cellular functions, it has been reported that RTKs participate in the development and progression of human cancer (<xref rid="b13-ijo-54-04-1195" ref-type="bibr">13</xref>); therefore, aberrantly expressed RTK signaling nodes are regarded as novel therapeutic targets for pharmaceutical intervention (<xref rid="b14-ijo-54-04-1195" ref-type="bibr">14</xref>). Following activation, indispensable tyrosine kinases may stimulate numerous signaling pathways that serve important roles in DNA repair, apoptosis and cell proliferation. It has been suggested that tyrosine kinases may be attractive targets for cancer therapy, and tyrosine kinase inhibitors have been effective in the treatment of various tumor types, including head and neck, gastric, prostate and breast cancer, and leukemia (<xref rid="b15-ijo-54-04-1195" ref-type="bibr">15</xref>). In the present study, the phosphorylated forms of a total of 23 tyrosine kinases were downregulated following knockdown of COPB2 in BGC-823 cells. Among these 23 targets, the EGFR family consists of four members that belong to the ErbB lineage of proteins (ErbB1-4), which, as a ligand of RTKs, may stimulate and modulate cell function. Therefore, the EGFR family may be considered therapeutic targets; EGFR inhibitors have been used for the treatment of various types of cancer, including lung, breast, pancreas, bladder, and head and neck cancers (<xref rid="b16-ijo-54-04-1195" ref-type="bibr">16</xref>-<xref rid="b19-ijo-54-04-1195" ref-type="bibr">19</xref>). Additional tyrosine kinases in the RTK signaling pathway identified in the present study were also confirmed to serve important roles in modulating cancer behavior, and are regarded as therapeutic targets in cancer, particularly in gastric cancer.</p>
<p>It has been demonstrated that silencing FGFR4 may disrupt the biological features of gastric cancer cells, and it is therefore considered a novel target molecule for therapy (<xref rid="b20-ijo-54-04-1195" ref-type="bibr">20</xref>). The EphA2 RTK was also observed to be a promising target for cancer therapy (<xref rid="b21-ijo-54-04-1195" ref-type="bibr">21</xref>). The Raf protein kinases are key intermediates in cellular signal transduction pathways, and Raf inhibitors, such as vemurafenib and dabrafenib, are considered to present a novel strategy for antitumor therapy (<xref rid="b22-ijo-54-04-1195" ref-type="bibr">22</xref>). Targeting Stat3 signaling is also a molecular strategy for therapeutic intervention (<xref rid="b23-ijo-54-04-1195" ref-type="bibr">23</xref>,<xref rid="b24-ijo-54-04-1195" ref-type="bibr">24</xref>). The InsR and the IGF receptor 1 (IGF1R) exert oncogenic functions (<xref rid="b25-ijo-54-04-1195" ref-type="bibr">25</xref>), and participate in cancer development and progression via the IGF network (<xref rid="b26-ijo-54-04-1195" ref-type="bibr">26</xref>). RTKs and their associated growth factors, including IGF1R, InsR, MET and HER3, have been observed to be enriched in HER2-positive gastric cancer tissue samples from patients, and have been identified as an important cause of lapatinib resistance in HER2-positive gastric cancer cells (<xref rid="b27-ijo-54-04-1195" ref-type="bibr">27</xref>).</p>
<p>Trk receptors have been observed to be significantly associated with tumor progression and survival (<xref rid="b28-ijo-54-04-1195" ref-type="bibr">28</xref>). TrkC activates Akt and suppresses transforming growth factor-&#x003B2; signaling, and is considered a potential therapeutic target for colorectal cancer (<xref rid="b29-ijo-54-04-1195" ref-type="bibr">29</xref>). Activation of Trks stimulates tumor cell proliferation, aggressiveness and metastasis (<xref rid="b30-ijo-54-04-1195" ref-type="bibr">30</xref>).</p>
<p>Ron, also known as MST1R, is an RTK from the Met proto-oncogene family; its dimerization and subsequent phosphorylation activates classical downstream signaling pathways, including MAPK, Jak/Stat3 and PI3K/Akt (<xref rid="b31-ijo-54-04-1195" ref-type="bibr">31</xref>). Previous studies have demonstrated that knockdown of Ron by small interfering (si)RNA could suppress tumor cell migration and invasion, induce apoptosis, and arrest the cell cycle at S phase in AGS cells and G<sub>2</sub>/M phase in MKN28 cells (<xref rid="b31-ijo-54-04-1195" ref-type="bibr">31</xref>,<xref rid="b32-ijo-54-04-1195" ref-type="bibr">32</xref>). In addition, Ron expression has been significantly associated with tumor size, depth of invasion, lymph node metastasis, tumor stage and poor survival (<xref rid="b32-ijo-54-04-1195" ref-type="bibr">32</xref>).</p>
<p>The Ret proto-oncogene RTK may serve an important role in cell growth, differentiation and survival. Following ligand binding, it activates numerous downstream signaling pathways, such as MAPK/extracellular signal-regulated kinase (ERK) and PI3k/Akt (<xref rid="b33-ijo-54-04-1195" ref-type="bibr">33</xref>). The tyrosine kinase domain of Ret is considered to be a crucial therapeutic target (<xref rid="b34-ijo-54-04-1195" ref-type="bibr">34</xref>).</p>
<p>The c-Kit proto-oncogene RTK belongs to the type III receptor family. As c-Kit signaling serves a role in tumorigenesis, imatinib has been used to treat tumors by inhibiting c-Kit signaling (<xref rid="b35-ijo-54-04-1195" ref-type="bibr">35</xref>). c-Kit activation is pivotal in the majority of gastrointestinal stromal tumors, and is likely an initiating tumorigenic event; therefore, c-Kit is almost a universal therapeutic target (<xref rid="b36-ijo-54-04-1195" ref-type="bibr">36</xref>).</p>
<p>FLT3, together with KIT, FMS and PDGF receptor (PDGFR), belongs to the class III RTKs (<xref rid="b37-ijo-54-04-1195" ref-type="bibr">37</xref>). Signal transduction pathways activated by FLT3 include several conserved pathways, such as RAS/MAPK and PI3K/Akt (<xref rid="b38-ijo-54-04-1195" ref-type="bibr">38</xref>). Combined inhibition of PI3K&#x003B4; and FLT3 exerts synergistic antitumor activities in FLT3-activated acute myeloid leukemia (<xref rid="b39-ijo-54-04-1195" ref-type="bibr">39</xref>).</p>
<p>The Eph RTK has been demonstrated to exert a complex role in tumor formation, progression and metastasis. EphA2, EphA3 and EphB4 are some of the most widely overexpressed Eph RTKs in cancer, which are associated with tumor aggressiveness. EphB4 signaling may activate downstream signaling factors, including VEGF expression (<xref rid="b40-ijo-54-04-1195" ref-type="bibr">40</xref>). EphB1-targeting small interfering (si)RNA may reduce cell viability and growth, alter cell cycle progression, decrease the expression of important cell cycle regulators, and increase the percentage of cells in G<sub>1</sub> phase of the cell cycle. Knockdown of EphB1 in DAOY cells results in a significant reduction in the migration of medulloblastoma cells (<xref rid="b41-ijo-54-04-1195" ref-type="bibr">41</xref>). Silencing EphA2 may also suppress the growth and haptotaxis of malignant mesothelioma cells (<xref rid="b42-ijo-54-04-1195" ref-type="bibr">42</xref>). In addition, knockdown of EphA2 expression has been observed to inhibit gastric cancer cell proliferation and invasion <italic>in vitro</italic> and <italic>in vivo</italic> (<xref rid="b43-ijo-54-04-1195" ref-type="bibr">43</xref>). An additional study (<xref rid="b44-ijo-54-04-1195" ref-type="bibr">44</xref>) demonstrated that EphB4-targeting siRNA decreases non-small cell lung cancer cell viability and the volume of established tumors <italic>in vivo</italic>.</p>
<p>FGF signaling regulates cell fate, angiogenesis, immunity and metabolism via its receptors, FGFR1, FGFR2, FGFR3 and FGFR4. Aberrantly expressed FGF signaling may lead to the development of breast, gastric and lung cancer. Therefore, anti-FGFR therapy, in the form of anti-FGF/FGFR monoclonal antibodies and small-molecule FGFR inhibitors, is considered an effective means of cancer treatment (<xref rid="b45-ijo-54-04-1195" ref-type="bibr">45</xref>).</p>
<p>TYRO3 is involved in the process of controlling cell survival and proliferation, and upregulation of TYRO3 may enhance cell motility, invasion, anchorage-independent growth and metastatic ability. Conversely, knockdown of TYRO3 may reverse these biological behaviors (<xref rid="b46-ijo-54-04-1195" ref-type="bibr">46</xref>,<xref rid="b47-ijo-54-04-1195" ref-type="bibr">47</xref>). A previous study demonstrated that overexpression of TYRO3 is associated with a hepatocellular carcinoma serum biomarker, &#x003B1;-fetoprotein (AFP), and alanine aminotransferase expression and tumor diameter. Knockdown of TYRO3 in the Hep3B hepatocellular carcinoma cell line reduces cell proliferation, ERK phosphorylation, cyclin D1 expression and AFP levels (<xref rid="b48-ijo-54-04-1195" ref-type="bibr">48</xref>). RNAi-targeting of TYRO3 inhibits the proliferation of luminal-type cells in estradiol-rich and estradiol-null conditions, and is associated with G<sub>0</sub>-G<sub>1</sub>/S cell cycle arrest (<xref rid="b49-ijo-54-04-1195" ref-type="bibr">49</xref>).</p>
<p>VEGFR2, also known as KDR, functions as the main mediator of VEGF-induced endothelial proliferation, survival and migration in response to numerous factors. VEGFR2 is a molecular target for the treatment of gastric cancer. Ramucirumab is a recombinant monoclonal antibody that targets VEGFR2, which has been used to treat specific cancer types.</p>
<p>Once downstream signals of PI3K have been activated by various growth factors, including PDGF, EGF and IGF-I, Akt is activated by phosphorylation on Thr-308 and Tyr-474 residues. Activation of the PI3K/AKT signaling pathway is frequently associated with human malignancies and serves a key role in cancer progression (<xref rid="b50-ijo-54-04-1195" ref-type="bibr">50</xref>,<xref rid="b51-ijo-54-04-1195" ref-type="bibr">51</xref>), including gastric cancer (<xref rid="b52-ijo-54-04-1195" ref-type="bibr">52</xref>). Therefore, targeting the PI3K-AKT-mTOR pathway may be considered an anticancer therapeutic strategy. RSK contains two non-identical catalytic kinase domains, which phosphorylate various substrates, including members of the MAPK signaling pathway, and control cell growth and differentiation. For example, RSK regulates cell migration and invasion of metastatic breast cancer cells via stimulating the phosphorylation of EphA2, thus activating the RSK-EphA2 signaling pathway (<xref rid="b53-ijo-54-04-1195" ref-type="bibr">53</xref>). In response to the RSK inhibitor, or via RNAi-targeting of RSK2, EGF-induced cell proliferation is suppressed (<xref rid="b54-ijo-54-04-1195" ref-type="bibr">54</xref>), and knockdown of RSK2, but not RSK1, in L3.6pl pancreatic cancer cells significantly inhibits the macrophage-stimulating protein-induced epithelial-mesenchymal-transition (EMT)-like phenotype and cell migration. RSK2 activation serves a critical determinant role in linking Ron signaling to the cellular EMT program. Consequently, inhibition of RSK2 activity may provide a therapeutic opportunity for inhibiting Ron-mediated cancer cell migration and invasion (<xref rid="b55-ijo-54-04-1195" ref-type="bibr">55</xref>).</p>
<p>The c-Abl proto-oncogene is not an RTK, but participates in numerous cellular processes, such as cell division, adhesion, differentiation and stress responses. c-Abl kinases may promote PDGFR-mediated proliferation and migration (<xref rid="b56-ijo-54-04-1195" ref-type="bibr">56</xref>).</p>
<p>The non-RTK Src proto-oncogene has been observed to be involved in numerous signaling pathways associated with cell proliferation, migration, tumor adhesion and angiogenesis, and may also mediate signaling pathways from many types of receptors, including RTKs (<xref rid="b57-ijo-54-04-1195" ref-type="bibr">57</xref>). Treatment with the novel Src/Abl inhibitor, bosutinib, alone or in combination with additional chemotherapeutic agents, may be a valuable therapeutic strategy for neuroblastoma treatment (<xref rid="b58-ijo-54-04-1195" ref-type="bibr">58</xref>). An inhibitor of Src kinase has been observed to inhibit the growth of cervical cancer cells <italic>in vitro</italic> and <italic>in vivo</italic>. Downregulation of phosphorylated-Src (Y416) inhibits cell proliferation and cell cycle arrest in HeLa and SiHa cells by regulating cyclin-dependent kinases and cyclin X. Results from a nude mouse xenograft model indicated that PP2, an inhibitor of Src kinase, may significantly inhibit subcutaneous tumor growth of cervical cancer cells (<xref rid="b59-ijo-54-04-1195" ref-type="bibr">59</xref>).</p>
<p>The Lck proto-oncogene, a Src family member of protein tyrosine kinases, may protect cells from glucocorticoid-induced apoptosis. Small-molecule inhibitors of Lck, such as dasatinib, reverse glucocorticoid resistance in some lymphoid malignancies (<xref rid="b60-ijo-54-04-1195" ref-type="bibr">60</xref>). Inhibition of Lck by treatment with PP2, an Src kinase family inhibitor, or via targeting Lck with siRNA, suppresses sphingosine-induced conformational activation and oligomerization of B-cell lymphoma 2 homologous antagonist/killer, and leads to mitochondrial membrane potential loss and apoptotic cell death (<xref rid="b61-ijo-54-04-1195" ref-type="bibr">61</xref>).</p>
<p>Stat3 is constitutively activated in various tumor types, and serves an important role in tumor survival, metastasis, chemoresistance and escape from immune responses (<xref rid="b62-ijo-54-04-1195" ref-type="bibr">62</xref>,<xref rid="b63-ijo-54-04-1195" ref-type="bibr">63</xref>). Stat3 is activated upon tyrosine phosphorylation, which is mediated by upstream cytokines, including, JAK, Src, Abl or RTKs. Conversely, Stat3 is inhibited by Debio 0617B, a novel RTK inhibitor that inhibits Stat3 in Stat3-activated carcinoma cell lines and causes a dose-dependent decrease in cell proliferation (<xref rid="b63-ijo-54-04-1195" ref-type="bibr">63</xref>). Inhibiting Stat3 reduces cell growth and induces apoptosis in head and neck cancer (<xref rid="b64-ijo-54-04-1195" ref-type="bibr">64</xref>), glioma (<xref rid="b65-ijo-54-04-1195" ref-type="bibr">65</xref>), prostate cancer (<xref rid="b66-ijo-54-04-1195" ref-type="bibr">66</xref>) and pancreatic cancer (<xref rid="b67-ijo-54-04-1195" ref-type="bibr">67</xref>) cells. Specifically, silencing of Stat3 significantly inhibits the growth of gastric cancer cells <italic>in vitro</italic> and <italic>in vivo</italic> via cell apoptosis and cell cycle shift (<xref rid="b68-ijo-54-04-1195" ref-type="bibr">68</xref>).</p>
<p>In conclusion, the present study demonstrated that COPB2 was abundantly expressed in human gastric cancer cell lines. Knockdown of COPB2 in BGC-823 cells inhibited cell growth and colony formation abilities, and promoted cell apoptosis, potentially via modulating RTK signaling and its downstream signaling cascades. Factors, including EGFR/ErbB1, HER2/ErbB2, HER3/ErbB3, FGFR4, InsR, TrkA/NTRK1, TrkB/NTRK2, Ron/MST1R, Ret, c-Kit/SCFR, FLT3/Flk2, EphA3, EphB1, EphB4, TYRO3/Dtk, VEGFR2/KDR, Akt/PKB/Rac (Thr308), Akt/PKB/Rac (Ser473), S6 ribosomal protein, c-Abl, Src, Lck and Stat3, may be involved in the effects of COPB2 knockdown. Therefore, COPB2 may be considered a valuable gene therapy target for the treatment of gastric cancer.</p></sec></body>
<back>
<sec sec-type="other">
<title>Funding</title>
<p>This study was supported by the Lanzhou Science and Technology Planning Project (grant no. 2016-3-113), the 60th Project of China Postdoctoral Foundation (grant no. 2016M602888), the China's National Science and Technology Program for Public Wellbeing (grant no. 2012GS620101) and the National Key Research and Development Plan (grant no. 2017YFC0908302).</p></sec>
<sec sec-type="materials">
<title>Availability of data and materials</title>
<p>All data generated or analyzed during this study are included in this published article.</p></sec>
<sec sec-type="other">
<title>Authors' contributions</title>
<p>CA, HL and YZ were involved in conception and design. XZ, JW, YQ, XY, QL and QG were involved in the collection and assembly of data. YZ provided study materials and patients. All authors contributed to data analysis and interpretation, and wrote and gave final approved for the manuscript.</p></sec>
<sec sec-type="other">
<title>Ethics approval and consent to participate</title>
<p>The experiments were authorized and approved by the Institutional Animal Care and Use Committee of Gansu University of Chinese Medicine (Lanzhou, China).</p></sec>
<sec sec-type="other">
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec sec-type="other">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>Not applicable.</p></ack>
<ref-list>
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<floats-group>
<fig id="f1-ijo-54-04-1195" position="float">
<label>Figure 1</label>
<caption>
<p>mRNA expression levels of COPB2 in gastric cancer cell lines. Reverse transcription-quantitative polymerase chain reaction analysis results demonstrated that COPB2 was expressed at high levels in MKN-45, MGC-803, BGC-823 and SGC-7901 gastric cancer cell lines relative to the internal reference gene GAPDH. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with GES-1. COPB2, coatomer protein complex subunit &#x003B2;2.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g00.tif"/></fig>
<fig id="f2-ijo-54-04-1195" position="float">
<label>Figure 2</label>
<caption>
<p>COPB2 infection efficiency and gene knockdown efficiency in BGC-823 cells. (A) Lv-shCOPB2-infected BGC-823 cells under open field observation and dark field observation. Magnification, &#x000D7;100. (B) Lv-shCtrl-infected BGC-823 cells under open field observation and dark field observation. The results demonstrated that Lv-shCOPB2 and Lv-shCtrl effectively infected BGC-823 cells. Infection rate of Lv-shCOPB2 and Lv-shCtrl was &#x0003E;80%. (C) mRNA expression levels of COPB2 were significantly decreased in the Lv-shCOPB2 group, with a significant knockdown efficiency of 78.9% (P&#x0003C;0.01). <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with the Lv-shCtrl group. Ctrl, control; COPB2, coatomer protein complex subunit &#x003B2;2; Lv, lentivirus; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g01.tif"/></fig>
<fig id="f3-ijo-54-04-1195" position="float">
<label>Figure 3</label>
<caption>
<p>Effects of COPB2 gene knockdown on cell proliferation, as determined by MTT and BrdU assays. (A) MTT assay was conducted and absorbance at 490 nm was compared, indicating the number of active BGC-823 cells in the Lv-shCOPB2 and Lv-shCtrl groups. The proliferation rate of BGC-823 cells was significantly inhibited in the Lv-shCOPB2 infection group at 4 and 5 days post-infection (P&#x0003C;0.05), indicating that the COPB2 gene may be significantly associated with the proliferation ability of BGC-823 cells. (B) BrdU incorporation assay was conducted and OD was detected. Cell proliferation in the Lv-shCOPB2 group was significantly reduced compared with in the Lv-shCtrl group 4 days post-transduction. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with the Lv-shCtrl group. BrdU, 5-bromo-2-deoxyuridine; COPB2, coatomer protein complex subunit &#x003B2;2; Lv, lentivirus; OD, optical density; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g02.tif"/></fig>
<fig id="f4-ijo-54-04-1195" position="float">
<label>Figure 4</label>
<caption>
<p>Effects of COPB2 gene knockdown on apoptosis, as determined by fluorescence-activated cell sorting detection. (A) Images of Lv-shCOPB2 and Lv-shCtrl groups demonstrating the level of apoptosis in BGC-823 cells following infection. (B) A total of 5 days post-infection, the percentage of apoptosis in BGC-823 cells from the Lv-shCOPB2 group was significantly increased compared with in the Lv-shCtrl group (P&#x0003C;0.001), thus suggesting that the COPB2 gene may be associated with apoptosis of BGC-823 cells. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with the Lv-shCtrl group. COPB2, coatomer protein complex subunit &#x003B2;2; Lv, lentivirus; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g03.tif"/></fig>
<fig id="f5-ijo-54-04-1195" position="float">
<label>Figure 5</label>
<caption>
<p>Effects of COPB2 gene knockdown on cell colony formation ability, as determined using light microscopy. (A) Images of Lv-shCOPB2 and Lv-shCtrl groups indicating the BGC-823 cell colony formation ability post-infection. (B) A total of 11 days following infection with shRNA lentiviruses, the number of colonies in each well was observed. The number of BGC-823 cell colonies from the Lv-shCOPB2 infection group was decreased compared with from the Lv-shCtrl group (P&#x0003C;0.001). These findings suggested that the COPB2 gene may be associated with the colony formation ability of BGC-823 cells. <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with the Lv-shCtrl group. COPB2, coatomer protein complex subunit &#x003B2;2; Lv, lentivirus; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g04.tif"/></fig>
<fig id="f6-ijo-54-04-1195" position="float">
<label>Figure 6</label>
<caption>
<p>Effects of COPB2 gene knockdown on tumorigenesis in nude mice <italic>in vivo</italic>. (A) Images of nude mice in the Lv-shCOPB2 and Lv-shCtrl groups. (B) Weight of subcutaneous xenograft tumors from the Lv-shCOPB2 group was lower than the weight of those from the Lv-shCtrl group (P&#x0003C;0.05). (C) Volume of subcutaneous xenograft tumors from the Lv-shCOPB2 group was lower than the volume of those from the Lv-shCtrl group at 14, 16 and 18 days (P&#x0003C;0.05). <sup>&#x0002A;</sup>P&#x0003C;0.05, compared with the Lv-shCtrl group at the same day. COPB2, coatomer protein complex subunit &#x003B2;2; KD, knockdown; Lv, lentivirus; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g05.tif"/></fig>
<fig id="f7-ijo-54-04-1195" position="float">
<label>Figure 7</label>
<caption>
<p>Effects of COPB2 gene knockdown on tumorigenesis in nude mice using an imaging assay <italic>in vivo</italic>. The total radiant efficiency of the ROI in xenografts from mice injected with (A) Lv-shCOPB2-infected BGC-823 cells and (B) Lv-shCtrl-infected BGC-823 cells. (C) Fluorescence imaging assay indicated that the total radiant efficiency of the ROI in xenograft tumors from the Lv-shCOPB2-infected group was lower when compared with the Lv-shCtrl-infected group (P&#x0003C;0.05). <sup>&#x0002A;&#x0002A;&#x0002A;</sup>P&#x0003C;0.001, compared with the Lv-shCtrl group. COPB2, coatomer protein complex subunit &#x003B2;2; Lv, lentivirus; ROI, region of interest; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g06.tif"/></fig>
<fig id="f8-ijo-54-04-1195" position="float">
<label>Figure 8</label>
<caption>
<p>Detection of COPB2 mRNA and protein expression in xenograft tumor tissues. (A) mRNA expression levels of COPB2 in xenograft tumor tissues from the Lv-shCOPB2 group were significantly lower than in the Lv-shCtrl group (P&#x0003C;0.01). (B) H&#x00026;E analysis of Lv-shCtrl group tissues indicated that the tumor cells were scattered and varied in size, the nuclei were enlarged, and the staining was intense. A high degree of pathological mitosis was observed in this group, characterized by an abundance of cell nuclei, and a marked number of large tumor cells were detected. In addition, necrotic areas were observed in tumor tissues. H&#x00026;E staining analysis of tissues from the Lv-shCOPB2 group indicated that the tumor cells were scattered and varied in size. The nuclei were enlarged, and the staining was intense. A high degree of pathological mitosis was also observed in this group; however, only a small number of multinucleated giant cells was identified in the tumor tissues. In addition, a number of small necrotic areas were observed scattered throughout the tumor tissues. Scale bar, 200 <italic>&#x000B5;</italic>m. (C) Immunohistochemical staining analysis of Lv-shCtrl group tissues demonstrated that COPB2 expression was observed in the cytoplasm of tumor cells and was markedly increased in the cytoplasm of tumor cells surrounding the necrotic regions. Immunohistochemical staining analysis of Lv-shCOPB2 group tissues indicated that COPB2 expression of was increased in the cytoplasm of tumor cells and in the central region of the tumor cell mass. The semi-quantitative score of COPB2 expression in Lv-shCtrl group tissues was moderately positive (++), whereas the semi-quantitative score of COPB2 expression in Lv-shCOPB2 group tissues was slightly positive(+). In conclusion, COPB2 expression in the Lv-shCOPB2 group was markedly reduced compared with in the Lv-shCtrl group. Scale bar, 50 <italic>&#x000B5;</italic>m. <sup>&#x0002A;&#x0002A;</sup>P&#x0003C;0.01, compared with the Lv-shCtrl group. COPB2, coatomer protein complex subunit &#x003B2;2; H&#x00026;E, hema-toxylin and eosin; Lv, lentivirus; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g07.tif"/></fig>
<fig id="f9-ijo-54-04-1195" position="float">
<label>Figure 9</label>
<caption>
<p>Effects of COPB2 gene knockdown on specific RTK signaling pathway genes in BGC-823 cells. (A) Target map of the PathScan<sup>&#x000AE;</sup> RTK Signaling Antibody Array kit (Fluorescent Readout). This map image was taken from the Cell Signaling Technology website (<ext-link xlink:href="https://www.cst-c.com.cn/product/product-Detail.jsp?productId=7949" ext-link-type="uri">https://www.cst-c.com.cn/product/product-Detail.jsp?productId=7949</ext-link>). Each site represents a target, which was indicated numerically and corresponds to the numbers presented in <xref rid="tI-ijo-54-04-1195" ref-type="table">Table I</xref>. (B) Effects of COPB2 gene knockdown on relevant genes from the RTK signaling pathway in BGC-823 cells. This slide-based antibody array image indicated the reaction results for Lv-shCOPB2-infected and Lv-shCtrl-infected BGC-823 cells. The results demonstrated that knockdown of COPB2 significantly reduced the phos-phorylation of 23 RTK signaling pathway targets, including epidermal growth factor receptor/ErbB1, HER2/ErbB2, HER3/ErbB3, fibroblast growth factor 4, insulin receptor, tropomyosin-related kinase A/NTRK1, TrkB/NTRK2, recepteur d'origine nantais/macrophage stimulating 1 receptor, Ret, c-Kit/stem cell growth factor receptor, FMS-like receptor tyrosine kinase 3/Flk2, EphA3, EphB1, EphB4, TYRO3 protein tyrosine kinase/Dtk, vascular endothelial growth factor receptor 2/kinase insert domain receptor, Akt/PKB/Rac (Thr308), Akt/PKB/Rac (Ser473), ribosomal S6 kinase, c-Abl, Src, Lck and signal transducer and activator of transcription 3 at different levels (P&#x0003C;0.05 or P&#x0003C;0.01). COPB2, coatomer protein complex subunit &#x003B2;2; Eph, EPH receptor; HER, human epidermal growth factor receptor; Lv, lentivirus; NTRK, neurotrophic receptor tyrosine kinase 1; RTK, receptor tyrosine kinase; sh, short hairpin RNA.</p></caption>
<graphic xlink:href="IJO-54-04-1195-g08.tif"/></fig>
<table-wrap id="tI-ijo-54-04-1195" position="float">
<label>Table I</label>
<caption>
<p>Detected proteins screened and validated by PathScan<sup>&#x000AE;</sup> RTK Signaling Antibody array between shCtrl-infected cells and shCOPB2-infected cells.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Site</th>
<th valign="middle" rowspan="2" align="center">Target</th>
<th valign="middle" rowspan="2" align="center">Phosphorylation site</th>
<th valign="middle" rowspan="2" align="center">Family</th>
<th colspan="2" valign="middle" align="center">Average gray value
<hr/></th>
<th valign="middle" rowspan="2" align="center">P-value</th>
<th valign="middle" rowspan="2" align="center">Up/down</th></tr>
<tr>
<th valign="middle" align="center">shCtrl</th>
<th valign="middle" align="center">shCOPB2</th></tr></thead>
<tbody>
<tr>
<td valign="middle" align="right">1</td>
<td valign="middle" align="center">EGFR/ErbB1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">20.95&#x000B1;1.10</td>
<td valign="middle" align="center">16.63&#x000B1;1.56</td>
<td valign="middle" align="center">0.0002</td>
<td valign="middle" align="center">&#x02212;20.60%</td></tr>
<tr>
<td valign="middle" align="right">2</td>
<td valign="middle" align="center">HER2/ErbB2</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">15.43&#x000B1;0.82</td>
<td valign="middle" align="center">13.03&#x000B1;0.81</td>
<td valign="middle" align="center">0.0005</td>
<td valign="middle" align="center">&#x02212;15.55%</td></tr>
<tr>
<td valign="middle" align="right">3</td>
<td valign="middle" align="center">HER3/ErbB3</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">22.87&#x000B1;0.99</td>
<td valign="middle" align="center">19.73&#x000B1;2.17</td>
<td valign="middle" align="center">0.0092</td>
<td valign="middle" align="center">&#x02212;13.70%</td></tr>
<tr>
<td valign="middle" align="right">4</td>
<td valign="middle" align="center">FGFR1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">16.25&#x000B1;3.39</td>
<td valign="middle" align="center">15.07&#x000B1;3.55</td>
<td valign="middle" align="center">0.5682</td>
<td valign="middle" align="center">&#x02212;7.28%</td></tr>
<tr>
<td valign="middle" align="right">5</td>
<td valign="middle" align="center">FGFR3</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">12.25&#x000B1;0.59</td>
<td valign="middle" align="center">11.25&#x000B1;1.26</td>
<td valign="middle" align="center">0.1090</td>
<td valign="middle" align="center">&#x02212;8.16%</td></tr>
<tr>
<td valign="middle" align="right">6</td>
<td valign="middle" align="center">FGFR4</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">13.72&#x000B1;0.70</td>
<td valign="middle" align="center">12.13&#x000B1;0.90</td>
<td valign="middle" align="center">0.0068</td>
<td valign="middle" align="center">&#x02212;11.54%</td></tr>
<tr>
<td valign="middle" align="right">7</td>
<td valign="middle" align="center">InsR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Insulin R</td>
<td valign="middle" align="center">14.52&#x000B1;0.60</td>
<td valign="middle" align="center">12.05&#x000B1;0.43</td>
<td valign="middle" align="center">&#x0003C;0.00001</td>
<td valign="middle" align="center">&#x02212;16.99%</td></tr>
<tr>
<td valign="middle" align="right">8</td>
<td valign="middle" align="center">IGF-IR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Insulin R</td>
<td valign="middle" align="center">14.75&#x000B1;2.82</td>
<td valign="middle" align="center">13.5&#x000B1;4.19</td>
<td valign="middle" align="center">0.5582</td>
<td valign="middle" align="center">&#x02212;8.47%</td></tr>
<tr>
<td valign="middle" align="right">9</td>
<td valign="middle" align="center">TrkA/NTRK1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">NGFR</td>
<td valign="middle" align="center">11.73&#x000B1;0.20</td>
<td valign="middle" align="center">10.07&#x000B1;0.65</td>
<td valign="middle" align="center">0.0010</td>
<td valign="middle" align="center">&#x02212;14.20%</td></tr>
<tr>
<td valign="middle" align="right">10</td>
<td valign="middle" align="center">TrkB/NTRK2</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">NGFR</td>
<td valign="middle" align="center">11.72&#x000B1;0.78</td>
<td valign="middle" align="center">10.05&#x000B1;0.44</td>
<td valign="middle" align="center">0.0010</td>
<td valign="middle" align="center">&#x02212;14.22%</td></tr>
<tr>
<td valign="middle" align="right">11</td>
<td valign="middle" align="center">Met/HGFR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">HGFR</td>
<td valign="middle" align="center">11.83&#x000B1;0.74</td>
<td valign="middle" align="center">11.2&#x000B1;0.26</td>
<td valign="middle" align="center">0.1007</td>
<td valign="middle" align="center">&#x02212;5.21%</td></tr>
<tr>
<td valign="middle" align="right">12</td>
<td valign="middle" align="center">Ron/MST1R</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">HGFR</td>
<td valign="middle" align="center">12.88&#x000B1;0.98</td>
<td valign="middle" align="center">10.7&#x000B1;0.52</td>
<td valign="middle" align="center">0.0007</td>
<td valign="middle" align="center">&#x02212;16.95%</td></tr>
<tr>
<td valign="middle" align="right">13</td>
<td valign="middle" align="center">Ret</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Ret</td>
<td valign="middle" align="center">11.27&#x000B1;0.68</td>
<td valign="middle" align="center">8.93&#x000B1;0.41</td>
<td valign="middle" align="center">&#x0003C;0.00001 -</td>
<td valign="middle" align="center">20.71%</td></tr>
<tr>
<td valign="middle" align="right">14</td>
<td valign="middle" align="center">ALK</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">LTK</td>
<td valign="middle" align="center">14.73&#x000B1;4.62</td>
<td valign="middle" align="center">12.37&#x000B1;4.24</td>
<td valign="middle" align="center">0.3769</td>
<td valign="middle" align="center">&#x02212;16.06%</td></tr>
<tr>
<td valign="middle" align="right">15</td>
<td valign="middle" align="center">PDGFR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">PDGFR</td>
<td valign="middle" align="center">15.65&#x000B1;4.59</td>
<td valign="middle" align="center">13.20&#x000B1;4.33</td>
<td valign="middle" align="center">0.3639</td>
<td valign="middle" align="center">&#x02212;15.65%</td></tr>
<tr>
<td valign="middle" align="right">16</td>
<td valign="middle" align="center">c-Kit/SCFR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">PDGFR</td>
<td valign="middle" align="center">13.03&#x000B1;0.66</td>
<td valign="middle" align="center">10.58&#x000B1;0.29</td>
<td valign="middle" align="center">&#x0003C;0.00001 -</td>
<td valign="middle" align="center">18.80%</td></tr>
<tr>
<td valign="middle" align="right">17</td>
<td valign="middle" align="center">FLT3/Flk2</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">PDGFR</td>
<td valign="middle" align="center">11.77&#x000B1;0.60</td>
<td valign="middle" align="center">9.43&#x000B1;0.29</td>
<td valign="middle" align="center">&#x0003C;0.00001 -</td>
<td valign="middle" align="center">19.83%</td></tr>
<tr>
<td valign="middle" align="right">18</td>
<td valign="middle" align="center">M-CSFR/CSF-1R</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">PDGFR</td>
<td valign="middle" align="center">15.05&#x000B1;4.40</td>
<td valign="middle" align="center">12.57&#x000B1;3.97</td>
<td valign="middle" align="center">0.3257</td>
<td valign="middle" align="center">&#x02212;16.50%</td></tr>
<tr>
<td valign="middle" align="right">19</td>
<td valign="middle" align="center">EphA1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">14.52&#x000B1;3.25</td>
<td valign="middle" align="center">13.97&#x000B1;3. 40</td>
<td valign="middle" align="center">0.7802</td>
<td valign="middle" align="center">&#x02212;3.79%</td></tr>
<tr>
<td valign="middle" align="right">20</td>
<td valign="middle" align="center">EphA2</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">17.55&#x000B1;4.40</td>
<td valign="middle" align="center">17.07&#x000B1;3.43</td>
<td valign="middle" align="center">0.8361</td>
<td valign="middle" align="center">&#x02212;2.75%</td></tr>
<tr>
<td valign="middle" align="right">21</td>
<td valign="middle" align="center">EphA3</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">13.93&#x000B1;1.26</td>
<td valign="middle" align="center">11.72&#x000B1;1.12</td>
<td valign="middle" align="center">0.0092</td>
<td valign="middle" align="center">&#x02212;15.91%</td></tr>
<tr>
<td valign="middle" align="right">22</td>
<td valign="middle" align="center">EphB1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">12.07&#x000B1;0.89</td>
<td valign="middle" align="center">10.28&#x000B1;1.06</td>
<td valign="middle" align="center">0.0101</td>
<td valign="middle" align="center">&#x02212;14.78%</td></tr>
<tr>
<td valign="middle" align="right">23</td>
<td valign="middle" align="center">EphB3</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">12.53&#x000B1;2.60</td>
<td valign="middle" align="center">12.25&#x000B1;3.98</td>
<td valign="middle" align="center">0.8868</td>
<td valign="middle" align="center">&#x02212;2.26%</td></tr>
<tr>
<td valign="middle" align="right">24</td>
<td valign="middle" align="center">EphB4</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">EphR</td>
<td valign="middle" align="center">13.27&#x000B1;1.76</td>
<td valign="middle" align="center">11.08&#x000B1;0.97</td>
<td valign="middle" align="center">0.0237</td>
<td valign="middle" align="center">&#x02212;16.46%</td></tr>
<tr>
<td valign="middle" align="right">25</td>
<td valign="middle" align="center">TYRO3/Dtk</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Axl</td>
<td valign="middle" align="center">12.9&#x000B1;1.80</td>
<td valign="middle" align="center">10.63&#x000B1;0.95</td>
<td valign="middle" align="center">0.0213</td>
<td valign="middle" align="center">&#x02212;17.57%</td></tr>
<tr>
<td valign="middle" align="right">26</td>
<td valign="middle" align="center">Axl</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Axl</td>
<td valign="middle" align="center">13.1&#x000B1;1.70</td>
<td valign="middle" align="center">11.5&#x000B1;1.95</td>
<td valign="middle" align="center">0.1613 -</td>
<td valign="middle" align="center">12.21%</td></tr>
<tr>
<td valign="middle" align="right">27</td>
<td valign="middle" align="center">Tie2/TEK</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Tie</td>
<td valign="middle" align="center">16.43&#x000B1;3.71</td>
<td valign="middle" align="center">13.55&#x000B1;2.99</td>
<td valign="middle" align="center">0.1694</td>
<td valign="middle" align="center">&#x02212;17.55%</td></tr>
<tr>
<td valign="middle" align="right">28</td>
<td valign="middle" align="center">VEGFR2/KDR</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">VEGFR</td>
<td valign="middle" align="center">12.4&#x000B1;0.92</td>
<td valign="middle" align="center">10.17&#x000B1;0.63</td>
<td valign="middle" align="center">0.0006</td>
<td valign="middle" align="center">&#x02212;18.01%</td></tr>
<tr>
<td valign="middle" align="right">29</td>
<td valign="middle" align="center">Akt/PKB/Rac</td>
<td valign="middle" align="center">Thr308</td>
<td valign="middle" align="center">Akt</td>
<td valign="middle" align="center">22.42&#x000B1;3.13</td>
<td valign="middle" align="center">16.65&#x000B1;1.45</td>
<td valign="middle" align="center">0.0022</td>
<td valign="middle" align="center">&#x02212;25.72%</td></tr>
<tr>
<td valign="middle" align="right">30</td>
<td valign="middle" align="center">Akt/PKB/Rac</td>
<td valign="middle" align="center">Ser473</td>
<td valign="middle" align="center">Akt</td>
<td valign="middle" align="center">31.33&#x000B1;4.25</td>
<td valign="middle" align="center">21.23&#x000B1;1.54</td>
<td valign="middle" align="center">0.0013</td>
<td valign="middle" align="center">&#x02212;32.23%</td></tr>
<tr>
<td valign="middle" align="right">31</td>
<td valign="middle" align="center">p44/42 MAPK (ERK1/2)</td>
<td valign="middle" align="center">Thr202/Tyr204</td>
<td valign="middle" align="center">MAPK</td>
<td valign="middle" align="center">31.12&#x000B1;3.54</td>
<td valign="middle" align="center">30.1&#x000B1;3.11</td>
<td valign="middle" align="center">0.6087</td>
<td valign="middle" align="center">&#x02212;3.27%</td></tr>
<tr>
<td valign="middle" align="right">32</td>
<td valign="middle" align="center">S6 Ribosomal Protein</td>
<td valign="middle" align="center">Ser235/236</td>
<td valign="middle" align="center">RSK</td>
<td valign="middle" align="center">42.5&#x000B1;4.69</td>
<td valign="middle" align="center">32.63&#x000B1;3.55</td>
<td valign="middle" align="center">0.0021</td>
<td valign="middle" align="center">&#x02212;23.22%</td></tr>
<tr>
<td valign="middle" align="right">33</td>
<td valign="middle" align="center">c-Abl</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Abl</td>
<td valign="middle" align="center">16.58&#x000B1;1.81</td>
<td valign="middle" align="center">12.9&#x000B1;1.22</td>
<td valign="middle" align="center">0.0020</td>
<td valign="middle" align="center">&#x02212;22.21%</td></tr>
<tr>
<td valign="middle" align="right">34</td>
<td valign="middle" align="center">IRS-1</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">IRS</td>
<td valign="middle" align="center">18.93&#x000B1;4.60</td>
<td valign="middle" align="center">16.1&#x000B1;3.69</td>
<td valign="middle" align="center">0.2666</td>
<td valign="middle" align="center">&#x02212;14.96%</td></tr>
<tr>
<td valign="middle" align="right">35</td>
<td valign="middle" align="center">Zap-70</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Zap-70</td>
<td valign="middle" align="center">19.25&#x000B1;3.82</td>
<td valign="middle" align="center">16.2&#x000B1;3.81</td>
<td valign="middle" align="center">0.1957</td>
<td valign="middle" align="center">&#x02212;15.84%</td></tr>
<tr>
<td valign="middle" align="right">36</td>
<td valign="middle" align="center">Src</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Src</td>
<td valign="middle" align="center">15.65&#x000B1;0.91</td>
<td valign="middle" align="center">13.32&#x000B1;0.90</td>
<td valign="middle" align="center">0.0012</td>
<td valign="middle" align="center">&#x02212;14.91%</td></tr>
<tr>
<td valign="middle" align="right">37</td>
<td valign="middle" align="center">Lck</td>
<td valign="middle" align="center">pan-Tyr</td>
<td valign="middle" align="center">Src</td>
<td valign="middle" align="center">15.7&#x000B1;2.57</td>
<td valign="middle" align="center">12.15&#x000B1;1.48</td>
<td valign="middle" align="center">0.0148</td>
<td valign="middle" align="center">&#x02212;22.61%</td></tr>
<tr>
<td valign="middle" align="right">38</td>
<td valign="middle" align="center">Stat1</td>
<td valign="middle" align="center">Tyr701</td>
<td valign="middle" align="center">Stat</td>
<td valign="middle" align="center">19.8&#x000B1;4.13</td>
<td valign="middle" align="center">16.287&#x000B1;3.74</td>
<td valign="middle" align="center">0.1532</td>
<td valign="middle" align="center">&#x02212;17.76%</td></tr>
<tr>
<td valign="middle" align="right">39</td>
<td valign="middle" align="center">Stat3</td>
<td valign="middle" align="center">Tyr705</td>
<td valign="middle" align="center">Stat</td>
<td valign="middle" align="center">22.38&#x000B1;1.37</td>
<td valign="middle" align="center">20.067&#x000B1;1.89</td>
<td valign="middle" align="center">0.0354</td>
<td valign="middle" align="center">&#x02212;10.35%</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-54-04-1195">
<p>The results indicated that knockdown of COPB2 could significantly induce downregulation of phosphorylation of 23 targets in the RTK signaling pathway, including EGFR/ErbB1, HER2/ErbB2, HER3/ErbB3, FGFR4, InsR, TrkA/NTRK1, TrkB/NTRK2, Ron/MST1R, Ret, c-Kit/SCFR, FLT3/Flk2, EphA3, EphB1, EphB4, TYRO3/Dtk, VEGFR2/KDR, Akt/PKB/Rac (Thr308), Akt/PKB/Rac (Ser473), Ribosomal S6 kinase, c-Abl, Src, Lck and Stat3 at different levels.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
