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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2019.11017</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-11017</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Receptor tyrosine kinase expression in high-grade gliomas before and after chemoradiotherapy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Kuanyu</given-names></name>
<xref rid="af1-ol-0-0-11017" ref-type="aff">1</xref>
<xref rid="af2-ol-0-0-11017" ref-type="aff">2</xref>
<xref rid="fn1-ol-0-0-11017" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Huang</surname><given-names>Ruoyu</given-names></name>
<xref rid="af2-ol-0-0-11017" ref-type="aff">2</xref>
<xref rid="fn1-ol-0-0-11017" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Wu</surname><given-names>Chenxing</given-names></name>
<xref rid="af3-ol-0-0-11017" ref-type="aff">3</xref>
<xref rid="fn1-ol-0-0-11017" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Guanzhang</given-names></name>
<xref rid="af2-ol-0-0-11017" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Zheng</given-names></name>
<xref rid="af4-ol-0-0-11017" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Hu</surname><given-names>Huimin</given-names></name>
<xref rid="af4-ol-0-0-11017" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Yanwei</given-names></name>
<xref rid="af5-ol-0-0-11017" ref-type="aff">5</xref>
<xref rid="c1-ol-0-0-11017" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-11017"><label>1</label>Department of Gamma Knife Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, P.R. China</aff>
<aff id="af2-ol-0-0-11017"><label>2</label>Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing 100050, P.R. China</aff>
<aff id="af3-ol-0-0-11017"><label>3</label>Department of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing 100050, P.R. China</aff>
<aff id="af4-ol-0-0-11017"><label>4</label>Department of Neuropathology, Beijing Neurosurgical Institute, Beijing 100050, P.R. China</aff>
<aff id="af5-ol-0-0-11017"><label>5</label>Department of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-11017"><italic>Correspondence to</italic>: Dr Yanwei Liu, Department of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, 6 Tiantan Xili, Dongcheng, Beijing 100050, P.R. China, E-mail: <email>liuyanwei_tiantan@163.com</email></corresp>
<fn id="fn1-ol-0-0-11017"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>12</month>
<year>2019</year></pub-date>
<pub-date pub-type="epub">
<day>29</day>
<month>10</month>
<year>2019</year></pub-date>
<volume>18</volume>
<issue>6</issue>
<fpage>6509</fpage>
<lpage>6515</lpage>
<history>
<date date-type="received"><day>24</day><month>02</month><year>2018</year></date>
<date date-type="accepted"><day>28</day><month>03</month><year>2019</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Wang 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>Glioma is the most common type of malignant brain tumor, and is characterized by invasive growth and chemoradiotherapy resistance. The following Cancer Genome Atlas mutation subtypes were identified in initial high-grade gliomas and recurrent gliomas treated by chemoradiotherapy: Isocitrate dehydrogenase 1/2 (IDH1/2) mutation, epidermal growth factor receptor variant III (EGFRvIII) mutation, tumor protein P53 mutation, PTEN mutation, O<sup>6</sup>-methylguanine-DNA methyltransferase promoter methylation and telomerase reverse transcriptase (TERT) mutation. The expression profile of 58 receptor tyrosine kinases (RTKs) were also examined. It was revealed that the proneural tumor subtype and IDH1/2 mutation are more frequent in recurrent tumors compared with initial tumors. Lower frequencies of the classical subtype, EGFRvIII mutation and TERT mutation were identified in recurrent tumors. A set of six RTK genes in which the level of expression was influenced by chemoradiotherapy was identified. Survival analysis revealed that the expression of several RTKs, including apoptosis-associated tyrosine kinase, fibroblast growth factor receptor 1 and insulin-like growth factor 1 receptor (IGF1R), was associated with patient survival. The stimulation of glioma cells by IGF1 <italic>in vitro</italic> was found to decreased the viability of the cells following treatment with temozolomide (TMZ). In addition, the expression level of IGF1R was increased in glioma cells treated with TMZ. These data suggest that altered RTK expression levels may influence the sensitivity of glioma to chemoradiotherapy.</p>
</abstract>
<kwd-group>
<kwd>glioma</kwd>
<kwd>glioblastoma</kwd>
<kwd>receptor tyrosine kinases</kwd>
<kwd>chemoradiotherapy</kwd>
<kwd>biomarker</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Malignant gliomas, particularly glioblastomas (GBMs), are the most common primary tumors of the central nervous system (<xref rid="b1-ol-0-0-11017" ref-type="bibr">1</xref>). According to World Health Organization (WHO) classification, malignant gliomas mainly include WHO grade II, grade III and GBM (WHO-grade IV) (<xref rid="b2-ol-0-0-11017" ref-type="bibr">2</xref>). High-grade glioma, including grade III and GBM, is the most malignant type and has the worst prognosis, requiring significant lesion resection combined with radiotherapy or/and temozolomide (TMZ) chemotherapy (<xref rid="b3-ol-0-0-11017" ref-type="bibr">3</xref>). Patients with GBM have a mean survival time of only 14.4 months (<xref rid="b1-ol-0-0-11017" ref-type="bibr">1</xref>), which is likely due to chemoradiotherapy resistance. Therefore, new therapeutic targets that increase sensitivity to chemoradiotherapy are urgently needed. Evidence suggests that therapeutic effects can be altered by gene alterations. Gliomas exhibiting isocitrate dehydrogenase 1/2 (IDH1/2) mutations are associated with a relatively good prognosis compared with wild-type (<xref rid="b4-ol-0-0-11017" ref-type="bibr">4</xref>). Studies have found that the expression of mutant IDH1 causes the glioma hypermethylator phenotype, which may serve a critical role in glioma treatment (<xref rid="b5-ol-0-0-11017" ref-type="bibr">5</xref>,<xref rid="b6-ol-0-0-11017" ref-type="bibr">6</xref>). Oligodendrogliomas exhibiting loss of chromosome 1p/19q respond favorably to combined procarbazine, lomustine and vincristine treatment (<xref rid="b7-ol-0-0-11017" ref-type="bibr">7</xref>&#x2013;<xref rid="b9-ol-0-0-11017" ref-type="bibr">9</xref>). Researchers have demonstrated that the loss of chromosome 1p/19q is associated with the downregulation of tumor suppressor genes or the mutation of specific genes, including CIC and NOTCH1 (<xref rid="b10-ol-0-0-11017" ref-type="bibr">10</xref>,<xref rid="b11-ol-0-0-11017" ref-type="bibr">11</xref>). O<sup>6</sup>-methylguanine-DNA methyltransferase (MGMT) promoter methylation has been used to guide glioblastoma treatment decisions (<xref rid="b12-ol-0-0-11017" ref-type="bibr">12</xref>). Resistance to TMZ therapy is thought to arise when the methylated DNA bases are repaired by MGMT, or when the mismatch repair (MMR) pathway functions deficiently (<xref rid="b12-ol-0-0-11017" ref-type="bibr">12</xref>). Patients with high-grade glioma exhibiting promoter hypermethylation of the MGMT gene, which silences its expression, have been shown to respond well to TMZ therapy (<xref rid="b1-ol-0-0-11017" ref-type="bibr">1</xref>,<xref rid="b12-ol-0-0-11017" ref-type="bibr">12</xref>). These results suggest that gene alterations serve important roles in the regulation of chemoradiotherapy sensitivity in gliomas.</p>
<p>Receptor tyrosine kinases (RTKs), a family of cell-surface receptors, constitute important signaling pathways in tumor development (<xref rid="b13-ol-0-0-11017" ref-type="bibr">13</xref>). RTKs are key regulators of critical cellular processes, including proliferation and differentiation, cell survival, metabolism and migration, and cell cycle control (<xref rid="b13-ol-0-0-11017" ref-type="bibr">13</xref>&#x2013;<xref rid="b15-ol-0-0-11017" ref-type="bibr">15</xref>). In the human genome, a total of 58 RTKs have been identified (<xref rid="b16-ol-0-0-11017" ref-type="bibr">16</xref>,<xref rid="b17-ol-0-0-11017" ref-type="bibr">17</xref>). All RTKs have an extracellular ligand-binding domain, a single transmembrane helix and a cytoplasmic region that has protein tyrosine kinase activity (<xref rid="b13-ol-0-0-11017" ref-type="bibr">13</xref>). Agonist binding to the extracellular domain evokes dimerization, and leads to autophosphorylation of the tyrosine kinase domain in a &#x2018;trans&#x2019; orientation, which serves as a site of assembly of protein complexes and stimulates multiple signaling pathways (<xref rid="b13-ol-0-0-11017" ref-type="bibr">13</xref>,<xref rid="b16-ol-0-0-11017" ref-type="bibr">16</xref>). RTKs are of widespread interest as drug targets in numerous types of cancer, including epidermal growth factor receptor (EGFR) in metastatic non-small-cell lung cancer and vascular endothelial growth factor in metastatic colorectal carcinoma (<xref rid="b14-ol-0-0-11017" ref-type="bibr">14</xref>). A number of diseases, including glioma and lung cancer, result from genetic changes or abnormalities that alter the activity, abundance, cellular distribution and/or regulation of RTKs (<xref rid="b10-ol-0-0-11017" ref-type="bibr">10</xref>,<xref rid="b17-ol-0-0-11017" ref-type="bibr">17</xref>). It has been reported that alterations of RTKs, including mutation, expression changes or rearrangement can result in drug resistance. EGFR mutation serves a critical role in resistance to gefitinib in lung cancer with anaplastic lymphoma kinase gene rearrangement (<xref rid="b18-ol-0-0-11017" ref-type="bibr">18</xref>). It has also been found that RTK activation may increase sensitivity to chemotherapy. High levels of hepatocyte receptor tyrosine kinase (HGFR/Met) signaling pathway activation by hepatocyte growth factor (HGF) can increase sensitivity to the Met inhibitor crizotinib in patients with glioma (<xref rid="b19-ol-0-0-11017" ref-type="bibr">19</xref>). Therefore, it is hypothesized that the expression of RTKs may influence TMZ chemotherapy in patients with high-grade glioma.</p>
<p>In the present study, gene alterations before and after chemoradiotherapy were compared in terms of various Cancer Genome Atlas subtypes, including IDH1/2 mutation, EGFR variant III (EGFRvIII) mutation, tumor protein P53 (TP53) mutation, phosphatase and tensin homolog (PTEN) mutation, MGMT promoter methylation and telomerase reverse transcriptase (TERT) mutation, as well as the expression profile of 58 RTKs. The results demonstrated that, when stimulated by growth factors, the activation of insulin-like growth factor 1 receptor (IGF1R) signaling increased tumor cell sensitivity to TMZ, and TMZ was able to influence IGF1R expression. Survival analysis demonstrated that high expression of IGF1R predicts longer overall survival in patients treated with TMZ.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Data collection</title>
<p>The characteristics of patients were collected from the Chinese Glioma Genome Atlas (CGGA; <uri xlink:href="http://www.cgga.org.cn">http://www.cgga.org.cn</uri>). Samples that were used for RNA sequencing, classical marker detection and survival analysis were from patients who underwent surgical resection between January 2005 and December 2015. The information about radiotherapy and chemotherapy treatment in patients with recurrent glioma was as follows: 22 patients received radiotherapy and 27 patients received chemotherapy. Patients were eligible for the study if their diagnosis was established histologically by two neuropathologists, according to the 2007 WHO classification guidelines (<xref rid="b2-ol-0-0-11017" ref-type="bibr">2</xref>). Only samples composed of &#x2265;80&#x0025; tumor cells were selected for analysis. The total number of patients included in the analysis was 182. This study was approved by the Ethics Committee of Beijing Tiantan Hospital (Beijing, China), and written informed consent was obtained from each patient.</p>
</sec>
<sec>
<title>Cell lines</title>
<p>The human GBM cell lines, H4 and LN-229, were obtained from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China). The H4 cell line is derived from an astrocytoma patient who was originally diagnosed with a neuroglioma, and the LN-229 cell line is derived from a patient with glioblastoma (<uri xlink:href="https://www.atcc.org/">https://www.atcc.org/</uri>). Cells were maintained in DMEM (Gibco; Thermo Fisher Scientific, Inc.) containing 10&#x0025; fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc.), 50 U/ml penicillin G and 250 &#x00B5;g/ml streptomycin in a humidified atmosphere containing 5&#x0025; CO<sub>2</sub> at 37&#x00B0;C (<xref rid="b20-ol-0-0-11017" ref-type="bibr">20</xref>). Cells with or without stimulation for 30 min with fibroblast growth factor (FGF; PeproTech; 10 ng/ml) or IGF1 (PeproTech, 100 ng/ml) were then treated with TMZ at 37&#x00B0;C for 1&#x2013;5 days (50 &#x00B5;M; Sigma-Aldrich; Merck KGaA) (<xref rid="b21-ol-0-0-11017" ref-type="bibr">21</xref>,<xref rid="b22-ol-0-0-11017" ref-type="bibr">22</xref>).</p>
</sec>
<sec>
<title>Western blot analysis</title>
<p>Whole-cell lysates were prepared using RIPA buffer (Cell Signaling Technology, Inc.). The protein determination used Pierce Bicinchoninic Acid Protein Assay kit (Thermo Fisher Scientific, Inc.). Equal amounts of total protein (30 &#x00B5;g) were separated by 10&#x0025; SDS/PAGE, transferred to a PVDF membrane (EMD Millipore) and detected using an ECL Western Blotting Detection System (Bio-Rad Laboratories, Inc.). 5&#x0025; skim milk was used to block the membrane at room temperature for 1 h. Primary rabbit polyclonal antibodies against IGF1R (ProteinTech Group, Inc.; cat. no. 10297-1-AP; dilution, 1:200) were used at 4&#x00B0;C overnight. An antibody against GAPDH (ProteinTech Group, Inc.; cat. no. 60004-1-Ig; dilution, 1:5,000) was used as the loading control. Goat anti-rabbit IgG-HRP and goat anti-mouse IgG-HRP (OriGene Technologies, Inc.; cat. nos. TA130024 and TA130005; dilution, 1:5,000) secondary antibodies were used at room temperature for 1 h (<xref rid="b20-ol-0-0-11017" ref-type="bibr">20</xref>). The software used for densitometry was ImageJ version 1.46 (National Institutes of Health).</p>
</sec>
<sec>
<title>MTT assay</title>
<p>H4 and LN-229 cells (2,000&#x2013;3,000) were seeded in 96-well plates, and after 24 h, the cells were stimulated with or without FGF or IGF1 for 30 min before TMZ treatment. Dimethyl sulfoxide was used to dissolve the purple formazan. MTT activity was measured in triplicate on days 1, 2, 3, 4 and 5. Proliferation curves were constructed by plotting the average of the triplicate values calculated by optical density measurements at a wavelength of 570 nm by a 96-well plate reader (<xref rid="b23-ol-0-0-11017" ref-type="bibr">23</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Differentially expressed genes were detected by unpaired Student&#x0027;s t-test using SPSS version 13.0 (SPSS, Inc., Chicago, IL, USA). Differential genes between primary high-grade gliomas and recurrent gliomas after chemoradiotherapy were identified by Student&#x0027;s t-test. Kaplan-Meier survival analysis was used to estimate survival distribution. The log-rank test was applied to assess the statistical significance between the stratified survival groups using GraphPad Prism version 4.0 statistical software (GraphPad Software, Inc.). KEGG pathway analysis was performed using DAVID (<uri xlink:href="http://david.abcc.ncifcrf.gov/">http://david.abcc.ncifcrf.gov/</uri>). Cut-off points for different variables were set according to the median value. A two-sided P-value &#x003C;0.05 was regarded to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Alterations in the distribution of established biomarkers</title>
<p>Numerous reliable molecular markers, such as TP53 and IDH1 mutations, are accepted as frequent alterations in glioma development (<xref rid="b4-ol-0-0-11017" ref-type="bibr">4</xref>&#x2013;<xref rid="b6-ol-0-0-11017" ref-type="bibr">6</xref>). In the present study, whether these markers are altered in glioma following chemoradiotherapy was investigated. A total of 182 high-grade glioma samples (47 primary grade III, 88 primary GBM, 25 recurrent grade III and 22 recurrent GBM samples) were collected with information regarding PTEN mutation status, IDH1/2 status, TP53 mutation status, MGMT promoter methylation status, EGFRvIII mutation status, TERT mutation status and TCGA subtype, from the CGGA dataset and are presented in <xref rid="tI-ol-0-0-11017" ref-type="table">Table I</xref>. It was observed that tumor recurrence was more common in older patients. There was a decline in the EGFRvIII, TP53, PTEN and TERT mutation rates from primary high-grade gliomas to recurrent gliomas after chemoradiotherapy. However, the frequency of IDH1/2 mutations and MGMT promoter methylation was increased in gliomas following chemoradiotherapy, which may explain the insensitivity of recurrent gliomas to TMZ chemotherapy (<xref rid="tI-ol-0-0-11017" ref-type="table">Table I</xref>).</p>
</sec>
<sec>
<title>Dysregulation of RTK kinase family members in high-grade gliomas after chemoradiotherapy</title>
<p>RTKs play important roles in glioma development, and alterations of RTKs can influence the results of chemoradiotherapy. In the present study, the RNA sequencing information of 135 primary high-grade gliomas and 47 recurrent high-grade gliomas, following standardized radiotherapy and &#x2265;1 cycle of TMZ chemotherapy, was analyzed for the expression of 58 RTKs. The expression of 6 RTKs, including IGF1R, macrophage stimulating 1 receptor, Fms-related tyrosine kinase (FLT)4, FLT3, fibroblast growth factor receptor 1 (FGFR1) and apoptosis-associated tyrosine kinase (AATK), was demonstrated to be significantly altered after chemoradiotherapy. The expression of these RTKs, with the exception of FLT4, was increased in recurrent gliomas after chemotherapy (<xref rid="tII-ol-0-0-11017" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>RTKs are associated with prognosis and tumor cell viability</title>
<p>Among the collected samples, 126 primary high-grade glioma cases and 46 recurrent high-grade glioma cases had accessible survival information. Survival analysis indicated that high expression of IGF1R and AATK, and low expression of FLT4 and FGFR1 predicted longer overall survival time in primary glioma (<xref rid="f1-ol-0-0-11017" ref-type="fig">Fig. 1A</xref>). In recurrent gliomas, high expression of AATK and IGF1R, and low expression of FGFR1 were associated with shorter overall survival time (<xref rid="f1-ol-0-0-11017" ref-type="fig">Fig. 1B</xref>). Previous reports have indicated that the high expression of IGF1R is an independent prognostic factor in tumors, including glioma and breast cancer (<xref rid="b24-ol-0-0-11017" ref-type="bibr">24</xref>&#x2013;<xref rid="b27-ol-0-0-11017" ref-type="bibr">27</xref>). Clinical reports have also suggested that high activation of the Met (HGFR) signaling pathway by HGF can increase crizotinib-sensitivity in lung cancer (<xref rid="b22-ol-0-0-11017" ref-type="bibr">22</xref>,<xref rid="b24-ol-0-0-11017" ref-type="bibr">24</xref>,<xref rid="b25-ol-0-0-11017" ref-type="bibr">25</xref>). Therefore, the RTK signaling pathway may influence treatment effectiveness. In the present study, FGF and IGF were used to stimulate tumor cells before TMZ treatment, and it was demonstrated that IGF stimulation assisted TMZ-induced tumor-cell death, whereas FGF did not induce sensitization to TMZ chemotherapy (<xref rid="f1-ol-0-0-11017" ref-type="fig">Fig. 1C</xref>).</p>
</sec>
<sec>
<title>TMZ increases IGF1R expression and activates IGF1R signaling</title>
<p>RNA sequencing data revealed that the expression of IGF1R was increased in recurrent gliomas following treatment, indicative of activation of the IGF1R signal pathway (<xref rid="tII-ol-0-0-11017" ref-type="table">Table II</xref>). This was confirmed in the present study, in which the expression level of IGF1R was demonstrated to be increased in glioma cells after TMZ treatment (<xref rid="f2-ol-0-0-11017" ref-type="fig">Fig. 2A</xref>). Differential genes between primary high-grade gliomas and recurrent gliomas after chemoradiotherapy were identified, and used to perform pathway analysis. The results indicated that the IGF1R signaling pathway was activated by TMZ treatment. The PDGFR signaling pathway was also demonstrated to be activated. These pathways regulate the cell cycle and promote cell growth, which may result in tumor-cell sensitivity to chemoradiotherapy (<xref rid="f2-ol-0-0-11017" ref-type="fig">Fig. 2B</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>High-grade gliomas, particularly GBM, are the most common type of primary brain tumor, and have a high mortality rate (<xref rid="b1-ol-0-0-11017" ref-type="bibr">1</xref>). Surgical resection followed by adjuvant chemoradiotherapy is the standard mode of treatment; however, its effectiveness is limited (<xref rid="b3-ol-0-0-11017" ref-type="bibr">3</xref>). The biological effects of radiation are largely the result of DNA damage, which can induce cell death (<xref rid="b16-ol-0-0-11017" ref-type="bibr">16</xref>). However, cells attempt to repair the DNA injury induced by radiation via several pathways (<xref rid="b16-ol-0-0-11017" ref-type="bibr">16</xref>). Key genes affecting these radiation-repair pathways include ATM, which is associated with ataxia telangiectasia; Ku, which is involved in the repair of double-strand DNA breaks; and XRCC2 (<xref rid="b16-ol-0-0-11017" ref-type="bibr">16</xref>). TMZ, an oral alkylating agent, is currently a first-line treatment for patients with high-grade glioma (<xref rid="b1-ol-0-0-11017" ref-type="bibr">1</xref>,<xref rid="b3-ol-0-0-11017" ref-type="bibr">3</xref>). However, TMZ results in DNA methylation and the failure of MMR (<xref rid="b12-ol-0-0-11017" ref-type="bibr">12</xref>). A number of genes, including MGMT, can cause TMZ-resistance in cancer cells by repairing TMZ-induced DNA methylation (<xref rid="b12-ol-0-0-11017" ref-type="bibr">12</xref>). In the present study, the high frequency of IDH1/2 and MGMT promoter methylation in recurrent gliomas indicated that gliomas exhibiting these markers were more likely to recur or to be resistant to chemoradiotherapy.</p>
<p>The RTK family regulates tumor development and treatment response and previous studies have found that alterations of RTK function can increase or reduce therapeutic resistance (<xref rid="b13-ol-0-0-11017" ref-type="bibr">13</xref>&#x2013;<xref rid="b15-ol-0-0-11017" ref-type="bibr">15</xref>). A number of studies focused on IGF1R have identified that IGF1R expression is associated with numerous types of tumors, including glioma (<xref rid="b26-ol-0-0-11017" ref-type="bibr">26</xref>&#x2013;<xref rid="b29-ol-0-0-11017" ref-type="bibr">29</xref>). IGF-1R has also been confirmed as a direct target gene of numerous microRNAs that are associated with glioma proliferation and invasion (<xref rid="b27-ol-0-0-11017" ref-type="bibr">27</xref>,<xref rid="b30-ol-0-0-11017" ref-type="bibr">30</xref>). The IGF1R pathway has been reported to be associated with treatment resistance in glioma (<xref rid="b29-ol-0-0-11017" ref-type="bibr">29</xref>). In the present study, it was indicated that high expression levels of IGF1R increased sensitivity to chemoradiotherapy in high-grade gliomas. IGF1R serves a critical role in transformation events, particularly during epithelial-mesenchymal transition; it is highly overexpressed in malignant tissues and plays important roles in tumorigenesis, metastasis and resistance in numerous types of human tumors (<xref rid="b22-ol-0-0-11017" ref-type="bibr">22</xref>,<xref rid="b24-ol-0-0-11017" ref-type="bibr">24</xref>,<xref rid="b25-ol-0-0-11017" ref-type="bibr">25</xref>). However, the prognostic relevance of IGF1R has long been a matter of controversy. High expression levels of IGF-1R have been associated with an increased risk of disease and poor survival rates in patients with tumors in certain studies, while other studies have demonstrated that high IGF-1R expression may predict a longer survival time and moderate sensitivity to anti-cancer drugs in other types of human tumors (<xref rid="b25-ol-0-0-11017" ref-type="bibr">25</xref>&#x2013;<xref rid="b28-ol-0-0-11017" ref-type="bibr">28</xref>). Liang <italic>et al</italic> (<xref rid="b24-ol-0-0-11017" ref-type="bibr">24</xref>) reported that IGF-1 treatment affected the viability of classical Hodgkin lymphoma (cHL) cell lines, and increased the phosphorylation of IGF1R, Akt and ERK, while IGF-1R expression in Hodgkin and Reed-Sternberg cells predicted a favorable outcome, despite the oncogenic effect of IGF-1R in cHL cell lines. Mountzios <italic>et al</italic> (<xref rid="b25-ol-0-0-11017" ref-type="bibr">25</xref>) demonstrated that aberrant expression of components of the IGF1R pathway is associated with relatively good clinical outcomes in patients with luminal A and B, node-positive early breast cancer, and suggested that hormone-receptor positive, HER2-negative tumors may explain, at least in part, the prognostic role of the IGFR pathway. Another large-sample study found that IGF1R mRNA expression was a prognostic marker in the entire cohort and in the luminal subtype groups (<xref rid="b22-ol-0-0-11017" ref-type="bibr">22</xref>,<xref rid="b24-ol-0-0-11017" ref-type="bibr">24</xref>,<xref rid="b25-ol-0-0-11017" ref-type="bibr">25</xref>). In the present study, a high IGFR1 mRNA expression level was indicated to be also a prognostic factor for the survival of patients with high-grade glioma. Tumor cells stimulated by IGF1 recombinant cytokine exhibited increased sensitivity to TMZ treatment. Increased activation of IGF1R was also evident following radiotherapy and TMZ chemotherapy. IGF1R protein expression was increased in glioma cells treated with TMZ. These data suggest that IGF1R signaling may contribute to the response of tumor cells to chemoradiotherapy. The prognostic value of IGF1R may be dependent on its expression level in patients with gliomas.</p>
<p>A limitation of the present study is that although the use of paired tumor samples to compare the biological changes after treatment would have been the optimal approach, this was not possible. The reason is that during the course of treatment, the majority of patients either refused another surgery following recurrence, or underwent surgery elsewhere. Therefore, the collection of paired samples for analysis was limited. Further investigation of the downstream effectors of IGF1R is required. The differences in the expression of these genes in the dataset before and after chemoradiotherapy should be analyzed and the results further verified by cell experiments. In addition, the knockdown of key genes should be conducted to determine their effect on sensitivity to TMZ, as this may assist in selecting the optimal treatment for glioma.</p>
<p>In conclusion, the present study demonstrated that the expression levels of some RTKs are significantly altered after chemoradiotherapy in patients with glioma. These RTKs may serve important roles in the regulation of therapeutic sensitivity and the results of the present study may provide a basis for future research. High IGF-1R expression in patients with glioma predicts a favorable outcome, and may be included in future clinical risk stratification following validation by future large prospective studies.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>The present study was supported by funding from The National Nature Science Foundation of China (grant no. 81502495).</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>The datasets generated and analyzed during the present study are available in the CGGA repository (<uri xlink:href="http://www.cgga.org.cn">http://www.cgga.org.cn</uri>).</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>YL and KW designed the experiments. KW, RH, CW and ZZ analyzed the data and contributed analytical tools. KW, GL and HH performed the experiments. RH and KW wrote the paper.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>This study was approved by the Ethics Committee of Beijing Tiantan Hospital (Beijing, China), and written informed consent was obtained from each patient.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-ol-0-0-11017" position="float">
<label>Figure 1.</label>
<caption><p>RTKs are associated with patient survival and cell viability. Expression levels of RTKs are associated with patient overall survival time in (A) initial and (B) recurrent high-grade glioma. (C) LN-229 and H4 glioma cells stimulated by IGF1 were sensitized to TMZ, whereas FGF did not sensitize the cells. The data are presented as mean &#x00B1; SD. &#x002A;P&#x003C;0.05 for LN-229 &#x002B; IGF1 &#x002B; TMZ vs. LN229 &#x002B; TMZ; <sup>#</sup>P&#x003C;0.05 for H4 &#x002B; IGF1 &#x002B; TMZ vs. H4 &#x002B; TMZ. RTK, receptor tyrosine kinase; AATK, apoptosis-associated tyrosine kinase; IGF1, insulin-like growth factor 1; FGF, fibroblast growth factor; FLT4, Fms-related tyrosine kinase 4; OS, overall survival; TMZ, temozolomide.</p></caption>
<graphic xlink:href="ol-18-06-6509-g00.tif"/>
</fig>
<fig id="f2-ol-0-0-11017" position="float">
<label>Figure 2.</label>
<caption><p>IGFR was activated by TMZ. (A) Western blot analysis revealed that IGF1R expression was increased in glioma cells after treatment with TMZ. Expression levels was normalized by the level of GAPDH and expressed as fold-changes of those in parental cells. The data are presented as mean &#x00B1; SD. &#x002A;&#x002A;&#x002A;P&#x003C;0.001 as indicated. (B) Data analysis of 135 initial and 47 recurrent high-grade glioma cases revealed that IGFR signaling was highly activated in recurrent gliomas. TMZ, temozolomide; IGF1R, insulin-like growth factor 1 receptor.</p></caption>
<graphic xlink:href="ol-18-06-6509-g01.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-11017" position="float">
<label>Table I.</label>
<caption><p>Established biomarkers in initial and recurrent high grade astrocytomas.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4">Cases, &#x0025; (n/N)</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="4"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Variables</th>
<th align="center" valign="bottom">Grade III</th>
<th align="center" valign="bottom">Grade IV</th>
<th align="center" valign="bottom">Recurrent Grade III</th>
<th align="center" valign="bottom">Recurrent Grade IV</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">63.8 (30/47)</td>
<td align="center" valign="top">62.5 (55/88)</td>
<td align="center" valign="top">60.0 (15/25)</td>
<td align="center" valign="top">63.6 (14/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">36.2 (17/47)</td>
<td align="center" valign="top">37.5 (33/88)</td>
<td align="center" valign="top">40.0 (10/25)</td>
<td align="center" valign="top">36.4 (8/22)</td>
</tr>
<tr>
<td align="left" valign="top">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;42</td>
<td align="center" valign="top">44.7 (21/47)</td>
<td align="center" valign="top">27.3 (24/88)</td>
<td align="center" valign="top">72.0 (18/25)</td>
<td align="center" valign="top">36.4 (8/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;42</td>
<td align="center" valign="top">55.3 (26/47)</td>
<td align="center" valign="top">72.7 (64/88)</td>
<td align="center" valign="top">32.0 (7/25)</td>
<td align="center" valign="top">63.6 (14/22)</td>
</tr>
<tr>
<td align="left" valign="top">Cancer Genome Atlas subtype</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Neural</td>
<td align="center" valign="top">19.1 (9/47)</td>
<td align="center" valign="top">14.8 (13/88)</td>
<td align="center" valign="top">24.0 (6/25)</td>
<td align="center" valign="top">9.1 (2/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Proneural</td>
<td align="center" valign="top">38.3 (18/47)</td>
<td align="center" valign="top">8.0 (7/88)</td>
<td align="center" valign="top">48.0 (12/25)</td>
<td align="center" valign="top">22.7 (5/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Classical</td>
<td align="center" valign="top">29.8 (14/47)</td>
<td align="center" valign="top">36.4 (32/88)</td>
<td align="center" valign="top">12.0 (3/25)</td>
<td align="center" valign="top">22.7 (5/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mesenchymal</td>
<td align="center" valign="top">12.8 (6/47)</td>
<td align="center" valign="top">40.9 (36/88)</td>
<td align="center" valign="top">16.0 (4/25)</td>
<td align="center" valign="top">45.5 (10/22)</td>
</tr>
<tr>
<td align="left" valign="top">IDH1/2</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mutation</td>
<td align="center" valign="top">40.9 (18/44)</td>
<td align="center" valign="top">11.7 (9/77)</td>
<td align="center" valign="top">70.8 (17/24)</td>
<td align="center" valign="top">31.8 (7/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Wild-type</td>
<td align="center" valign="top">59.1 (26/44)</td>
<td align="center" valign="top">88.3 (68/77)</td>
<td align="center" valign="top">29.2 (7/24)</td>
<td align="center" valign="top">68.2 (15/22)</td>
</tr>
<tr>
<td align="left" valign="top">EGFRvIII</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mutation</td>
<td align="center" valign="top">10.6 (5/47)</td>
<td align="center" valign="top">14.8 (13/88)</td>
<td align="center" valign="top">4.0 (1/25)</td>
<td align="center" valign="top">4.5 (1/22)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Wild-type</td>
<td align="center" valign="top">89.4 (42/47)</td>
<td align="center" valign="top">85.2 (75/88)</td>
<td align="center" valign="top">96.0 (24/25)</td>
<td align="center" valign="top">95.5 (21/22)</td>
</tr>
<tr>
<td align="left" valign="top">TP53</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mutation</td>
<td align="center" valign="top">17.6 (3/17)</td>
<td align="center" valign="top">24.4 (11/45)</td>
<td align="center" valign="top">7.7 (1/13)</td>
<td align="center" valign="top">16.7 (2/12)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Wild-type</td>
<td align="center" valign="top">82.4 (14/17)</td>
<td align="center" valign="top">75.4 (34/45)</td>
<td align="center" valign="top">92.3 (12/13)</td>
<td align="center" valign="top">83.3 (10/12)</td>
</tr>
<tr>
<td align="left" valign="top">PTEN</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mutation</td>
<td align="center" valign="top">26.7 (4/15)</td>
<td align="center" valign="top">20.9 (9/43)</td>
<td align="center" valign="top">0 (0/12)</td>
<td align="center" valign="top">18.2 (2/11)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Wild-type</td>
<td align="center" valign="top">73.3 (11/15)</td>
<td align="center" valign="top">79.1 (34/43)</td>
<td align="center" valign="top">100 (12/12)</td>
<td align="center" valign="top">81.8 (9/11)</td>
</tr>
<tr>
<td align="left" valign="top">MGMT</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Methylated</td>
<td align="center" valign="top">58.3 (21/36)</td>
<td align="center" valign="top">40.0 (34/85)</td>
<td align="center" valign="top">62.5 (15/24)</td>
<td align="center" valign="top">44.4 (8/18)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Unmethylated</td>
<td align="center" valign="top">41.7 (15/36)</td>
<td align="center" valign="top">60.0 (51/85)</td>
<td align="center" valign="top">37.5 (9/24)</td>
<td align="center" valign="top">55.6 (10/18)</td>
</tr>
<tr>
<td align="left" valign="top">TERT</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Mutation</td>
<td align="center" valign="top">52.6 (20/38)</td>
<td align="center" valign="top">34.9 (22/63)</td>
<td align="center" valign="top">17.6 (3/17)</td>
<td align="center" valign="top">31.6 (6/19)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Wild-type</td>
<td align="center" valign="top">47.4 (18/38)</td>
<td align="center" valign="top">65.1 (41/63)</td>
<td align="center" valign="top">82.4 (14/17)</td>
<td align="center" valign="top">68.4 (13/19)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-11017"><p>IDH1/2, isocitrate dehydrogenase 1/2, Cytosolic; EGFRvIII, epidermal growth factor receptor variant III; TP53, tumor protein P53; PTEN, phosphatase and tensin homolog; MGMT, O<sup>6</sup>-methylguanine-DNA methyltransferase; TERT, telomerase reverse transcriptase.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-0-0-11017" position="float">
<label>Table II.</label>
<caption><p>Significantly changed receptor tyrosine kinases between initial and recurrent gliomas.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Full name</th>
<th align="center" valign="bottom">Location</th>
<th align="center" valign="bottom">Fold-change</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">IGF1R</td>
<td align="left" valign="top">Insulin-like growth factor 1 receptor</td>
<td align="center" valign="top">15q26.3</td>
<td align="center" valign="top">2.0</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">MST1R</td>
<td align="left" valign="top">Macrophage stimulating 1 receptor</td>
<td align="center" valign="top">3p21.3</td>
<td align="center" valign="top">1.8</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">FLT4</td>
<td align="left" valign="top">Fms-related tyrosine kinase 4</td>
<td align="center" valign="top">5q35.3</td>
<td align="center" valign="top">1.5</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top">FLT3</td>
<td align="left" valign="top">Fms-related tyrosine kinase 3</td>
<td align="center" valign="top">13q12</td>
<td align="center" valign="top">0.7</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top">FGFR1</td>
<td align="left" valign="top">Fibroblast growth factor receptor 1</td>
<td align="center" valign="top">8p11.23-p11.22</td>
<td align="center" valign="top">1.4</td>
<td align="center" valign="top">0.05</td>
</tr>
<tr>
<td align="left" valign="top">AATK</td>
<td align="left" valign="top">Apoptosis-associated tyrosine kinase</td>
<td align="center" valign="top">17q25.3</td>
<td align="center" valign="top">1.4</td>
<td align="center" valign="top">0.05</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</article>
