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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2023.1099290</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical value of <sup>18</sup>F-FDG PET/CT to predict MYCN gene, chromosome 1p36 and 11q status in pediatric neuroblastoma and ganglioneuroblastoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Jiazhong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1829938"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhao</surname>
<given-names>Yaqing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Medical Imaging, PET-CT Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of General Affairs Section, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Chi-kong Li, The Chinese University of Hong Kong, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Salvatore Annunziata, Fondazione Policlinico Universitario A. Gemelli IRCCS, Italy; Alessandro Inserra, Bambino Ges&#xf9; Children&#x2019;s Hospital (IRCCS), Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yaqing Zhao, <email xlink:href="mailto:bettertomorrow18@163.com">bettertomorrow18@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Pediatric Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1099290</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Ren, Fu and Zhao</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ren, Fu and Zhao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>To explore the value of <sup>18</sup>F-2-fluoro-2-deoxyglucose (FDG) positron emission tomography (PET)/computed tomography(CT) in MYCN gene and chromosome 1p36 and 11 statuses in newly diagnosed pediatric NB(neuroblastoma) and GNB(ganglioneuroblastoma).</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively analyzed newly diagnosed patients with 48 NB and 12 with GNB in our hospital. The data obtained from the clinical medical records included age, sex, pathologic type, and laboratory parameters such as lactate dehydrogenase (LDH), neuron-specific enolase (NSE) and the status of MYCN gene and chromosome 1p36 and 11q. The bone conditions were also obtained in the examination of bone marrow biopsy. Primary tumors were manually segmented to measure the maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), tumor volume(MTV) and total lesion glycolysis(TLG) and the maximal length of the lesion in the axial image(LEGmax).</p>
</sec>
<sec>
<title>Results</title>
<p>The differences in bone marrow involvement and lymph node metastases in patients with chromosome 11q deletions were statistically significant (all p &lt; 0.05). Chromosome 11q deletion was an independent factor affecting bone marrow involvement (OR=17.796, p=0.011). The levels of NSE, LDH, LEGmax and SUVmax, SUVmean, MTV, TLG all predicted MYCN gene amplification (all p &lt; 0.05). The levels of LDH, LEGmax and MTV, TLG all predicted deletions in chromosomes 1p36 (all p &lt; 0.05), while NSE, SUVmax and SUVmean did not (all p &gt; 005).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The LDH levels, LEGmax, MTV and TLG can effectively predict the status of the MYCN oncogene and chromosome 1p36 in pediatric neuroblastoma and ganglioneuroblastoma. Those patients with chromosome 11q deletions are more likely to develop bone marrow involvement and lymph node metastases, showing a worse progression-free survival.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neuroblastoma</kwd>
<kwd>ganglioneuroblastoma</kwd>
<kwd>
<sup>18</sup>F-FDG PET/CT</kwd>
<kwd>MYCN</kwd>
<kwd>1p36</kwd>
<kwd>11q</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="10"/>
<word-count count="4408"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Neuroblastoma is the most common pediatric solid tumor in the sympathetic nervous system and accounts for approximately 15% of childhood cancer&#x2010;related mortality (<xref ref-type="bibr" rid="B1">1</xref>). Seventy percent of patients with NB have metastatic disease. The time of diagnosis, which commonly involves the cortical bone and the bone marrow, implies a poor prognosis (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Several clinicohistopathological factors, including age, stage (distant metastases in lymph nodes, cortical bone, bone marrow, and liver), laboratory test parameters (neuron-specific enolase (NSE), lactic dehydrogenase (LDH)) and molecular pathology (the status of MYCN gene, chromosome1p36 and 11q) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Some authors suggest that any gene and chromosomal segmental alteration is associated with an increased risk of relapse and poor outcomes in neuroblastoma[6]. Currently, the most clinically useful genetic marker is an amplification of the MYCN oncogene (<xref ref-type="bibr" rid="B6">6</xref>). In approximately 25% of primary untreated patients amplification of the MYCN oncogene is frequently associated with a poor outcome (<xref ref-type="bibr" rid="B6">6</xref>). However, specific segmental chromosomal aberrations, such as 11q deletion,1p deletion and 17q gain, are also biological factors associated with poor prognosis (<xref ref-type="bibr" rid="B5">5</xref>). The 2-year event-free survival rate for 11q deletion cases was 30%, compared to 34% for MYCN-amplified patients and 100% for cases without these abnormalities (<xref ref-type="bibr" rid="B6">6</xref>). Helena Car&#xe9;n et&#xa0;al. revealed that the MYCN-amplified and 11q-deletion groups are significantly associated with poor prognosis (<xref ref-type="bibr" rid="B7">7</xref>). Deletion of the short arm of chromosome 1p36 is one of the most characteristic changes in neuroblastomas (<xref ref-type="bibr" rid="B8">8</xref>), suggesting that a tumor suppressor gene resides in this region (<xref ref-type="bibr" rid="B9">9</xref>). A strong correlation between 1p36 deletion, MYCN amplification, and advanced-stage disease (<xref ref-type="bibr" rid="B10">10</xref>). Chromosome 17q gain is observed in approximately half of all tumors and is associated with a low survival rate (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Nowadays, iodine-123 metaiodobenzylguanidine (<sup>123</sup>I-MIBG) scintigraphy is a mainstay method in pediatric NB (<xref ref-type="bibr" rid="B12">12</xref>). Nevertheless, <sup>123</sup>I-MIBG scintigraphy imaging has several disadvantages, such as no concentration of MIBG in 10% of tumors, limited spatial resolution, and limited sensitivity in small lesions. <sup>18</sup>F-fluorodeoxyglucose (<sup>18</sup>F-FDG) positron emission tomography (PET)/computed tomography (CT) (<sup>18</sup>F-FDG PET/CT) is commonly used to complete the staging and prognosis prediction of neuroblastoma. Compared with <sup>123</sup>I-MIBG scintigraphy imaging, superiorities of PET are high <sup>18</sup>F-FDG avidity of the bone marrow and better identification of FDG abnormalities in the bone marrow and bone (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Moreover, another critical advantage of PET/CT is that PET/CT can assess the whole body at once and find unintended distant lymph nodes, bone and skin metastases where traditional imaging or bone marrow biopsies are not usually performed (<xref ref-type="bibr" rid="B15">15</xref>). <sup>18</sup>F-FDG PET/CT has an excellent overall diagnostic accuracy with high sensitivity and specificity in detecting bone-bone marrow involvement and soft-tissue lesions in pediatric neuroblastoma (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). <sup>18</sup>F-FDG PET/CT scans may help assess the full extent of disease involvement, particularly at therapeutic decision points (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>
<sup>18</sup>F-FDG PET/CT can be used for tumor characterization and prognostic assessment in patients with neuroblastoma (<xref ref-type="bibr" rid="B18">18</xref>). Tumor metabolic activity was higher in higher-stage MYCN-amplified patients (<xref ref-type="bibr" rid="B19">19</xref>). However, little research has studied the relationship between the status of the MYCN gene and 1p and 11q chromosomal and <sup>18</sup>F-FDG PET/CT metabolic parameters. This study aimed to explore the correlation between <sup>18</sup>F-FDG PET/CT metabolism parameters and the status of the MYCN gene, chromosomal 1p and 11q in newly diagnosed pediatric neuroblastoma by reviewing our clinical experience.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patients</title>
<p>This retrospective study was approved by the Institutional Review Board of the Affiliated Cancer Hospital of Shandong First Medical University and was exempted from obtaining informed consent. We retrospectively collected all the data of patients with neuroblastoma (age &lt; 18 years) who had undergone <sup>18</sup>F-FDG PET/CT before treatment from June 1, 2019, to August 31, 2022. Sixty patients were included, including 48 patients with NB and 12 with GNB. They were diagnosed for the first time and underwent <sup>18</sup>F-FDG PET/CT scan. Some patients underwent bone marrow biopsy (BMB) within one week. Patients were undergoing any treatment procedures before <sup>18</sup>F-FDG PET/CT were excluded.</p>
<p>The data obtained from the clinical medical records included age, sex, pathologic type, and laboratory parameters, such as lactate dehydrogenase (LDH), neuron-specific enolase (NSE), and the status of MYCN gene and 1p and 11q chromosome. All methods are performed according to the relevant guidelines and regulations. Clinical data was reviewed to assess disease status after follow-up. Progression-free survival (PFS) was calculated as the time from the <sup>18</sup>F-FDG PET scan showing disease progression or if the patient died.</p>
<p>Pediatric neuroblastoma usually has three histological types: NB, GNB, and ganglioneuroma (GN). We excluded GN because it is a benign tumor (<xref ref-type="bibr" rid="B20">20</xref>) and not present with bone-bone marrow involvement. We used the international neuroblastoma risk group staging system (INRGSS) and the INRG risk classification system for neuroblastoma (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>
<sup>18</sup>F-FDG PET-CT imaging protocol</title>
<p>
<sup>18</sup>F-FDG is produced by a MiniTrace Cyclotron and automatic synthesis system by GE Healthcare, with a radiochemical purity of more than 95%. Patients fasted for at least six hours before the examination and had blood glucose lower than 10 mmol/L. The intravenous injection of FDG ranged from 4.44 MBq/kg to 5.55 MBq/kg. Thirty-eight patients were given oral sedation for PET scans. PET/CT scans were performed 60 minutes after injecting radiolabeled <sup>18</sup>F-FDG using a Siemens PET/CT system (Horizon). The examination included a head-to-toe CT scan (80 kV; 50-100 mAs) and a three-dimensional (3D) PET scan (2 mins per bed; 6-7 beds). The rotation time was 0.6. The slice thickness was 3.75 mm. The increment was 3.27. The pitch was 0.984. The images were displayed on the Syngo.via workstation.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>
<sup>18</sup>F-FDG PET/CT image analysis</title>
<p>Two experienced nuclear medicine physicians independently reviewed <sup>18</sup>F-FDG PET/CT findings. Depending on the axis and the coronal and sagittal projections, the physicians placed the region of interest (ROI) on the primary tumor. Metabolic parameters, such as maximum standardized uptake value (SUVmax), average standard uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were measured on PET/CT images. TLG was then calculated as TLG = SUVmean &#xd7; MTV. Our study selected a SUVmax of 30% as the threshold for generating the ROI. Meanwhile, the maximal length of the lesion in the reconstructed axial image(LEGmax) was also measured and collected in the CT features of the <sup>18</sup>F-FDG PET/CT scan.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Identification of bone marrow disease by iliac crest biopsy</title>
<p>At our hospital, BMBs are obtained by pediatric oncologists from the common area of the posterior iliac epicondyle only and are not collected from other sites. Biopsy results are reported according to histopathology and immunophenotyping and are evaluated by the oncology and pathology departments.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>The MYCN gene, the chromosome 1p36 and 11q analysis</title>
<p>MYCN gene status, chromosome 1p36 and 11q status were determined by FISH using standard methods. Tumors were considered amplified MYCN when copy number was increased &gt; 5-fold.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Statistical analyzes were performed using SPSS software (version 28.0 for Windows; SPSS INC.). Continuous data were described as the mean &#xb1; standard deviation (mean &#xb1; SD) or median and interquartile, depending on whether they followed a normal distribution. The categorical variables are described as numbers. Differences between groups were compared using the Mann-Whitney U tests for the continuous variables, chi-squared tests, and Fisher&#x2019;s exact test for the categorical variables. Receiver operating characteristic (ROC) curves were used to determine the best cut-off values of the level of NSE, LDH, LEGmax of the lesion and PET/CT metabolic parameters to predict the MYCN amplification and the positive of 1p36 and 11q. Binary logistic regression was used to analyze whether MYCN oncogene status, chromosome 11q and 1p36 statuses were influential factors leading to bone marrow infiltration and lymph node metastasis. Correlation analysis between MYCN deletions and chromosome 1p36,11q was performed using Spearman&#x2019;s rank correlation analysis. Survival curves were created using the Kaplan-Meier method, and log-rank tests were used to determine whether the survival rates of the curves were statistically significant. All tests were two-sided, and a probability of less than 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patients&#x2019; characteristics</title>
<p>We retrospectively studied 60 patients with 48 NB and 12 GNB (age &lt; 18 years). This study included 34 males and 26 females with an average age of 34.78 months. The general characteristics of patients are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The status of the MYCN gene and chromosomes 1p36 and 11q was collected from 47 of 60 patients, of whom 34% were positive for MYCN amplification and approximately 38.3% and 36.2% for chromosome 1p36 and 11q deletions, respectively.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>General characteristics of 60 patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Characteristics</th>
<th valign="top" align="center"/>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">%</th>
</tr>
<tr>
<th valign="top" align="center">Age (months)</th>
<th valign="top" align="center">Median (range)</th>
<th valign="top" align="center">34 (2-144)</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="center">Gender</td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">56.7</td>
</tr>
<tr>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">43.3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Histology</td>
<td valign="top" align="center">NB</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">80.0</td>
</tr>
<tr>
<td valign="top" align="center">GNB</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">20.0</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Location</td>
<td valign="top" align="center">Neck</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.7</td>
</tr>
<tr>
<td valign="top" align="center">Chest</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">8.3</td>
</tr>
<tr>
<td valign="top" align="center">Abdomen</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">88.3</td>
</tr>
<tr>
<td valign="top" align="center">Pelvis</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">MYCN<sup>#</sup>
</td>
<td valign="top" align="center">Amplified</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">34.0</td>
</tr>
<tr>
<td valign="top" align="center">Not amplified</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">66.0</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">1P36<sup>#</sup>
</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">38.3</td>
</tr>
<tr>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">61.7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">11q<sup>#</sup>
</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">36.2</td>
</tr>
<tr>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">63.8</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">BMB<sup>##</sup>
</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">61.7</td>
</tr>
<tr>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">38.3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">Lymph node metastasis</td>
<td valign="top" align="center">Metastasis</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">83.3</td>
</tr>
<tr>
<td valign="top" align="center">No metastasis</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">16.7</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">INRGSS</td>
<td valign="top" align="center">L1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">11.7</td>
</tr>
<tr>
<td valign="top" align="center">L2</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">15.0</td>
</tr>
<tr>
<td valign="top" align="center">M</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">66.7</td>
</tr>
<tr>
<td valign="top" align="center">Ms</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6.7</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">INRG risk stratification<sup>##</sup>
</td>
<td valign="top" align="center">Very low</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">9.8</td>
</tr>
<tr>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">9.8</td>
</tr>
<tr>
<td valign="top" align="center">Intermediate</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">7.8</td>
</tr>
<tr>
<td valign="top" align="center">High</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">72.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>#</sup>47 patients obtained the status of MYCN gene and chromosome 1p36 and 11q. <sup>##</sup>51 patients obtained INRG risk stratification. BMB, bone marrow biopsy; INRGSS, International neuroblastoma risk group staging system; INRG, International neuroblastoma risk group.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Relationship between amplification of MYCN gene, deletion of chromosome 1p36 and 11q and clinicopathological features</title>
<p>The clinical biological characteristics and <sup>18</sup>F-FDG PET/CT metabolic parameters of patients with the MYCN gene and chromosome 1p36 and 11q status are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. The differences in bone marrow involvement and lymph node metastases in patients with chromosome 11q deletion were statistically significant. Binary logistic regression analysis showed that chromosome 11q deletion was an independent factor affecting bone marrow involvement. The incidence of bone marrow involvement was 17.796 times higher in patients with chromosome 11q deletion than in those without chromosome 11q deletions, as shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>General characteristics of MYCN gene and chromosomes 1p36 and 11q status.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left"/>
<th valign="top" colspan="9" align="center">The status of the MYCN gene and chromosomes 1p36 and 11q</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">MYCN gene</th>
<th valign="top" rowspan="2" align="center">p</th>
<th valign="top" colspan="2" align="center">1P36 chromosome</th>
<th valign="top" rowspan="2" align="center">p</th>
<th valign="top" colspan="2" align="center">11q chromosome</th>
<th valign="top" rowspan="2" align="center">p</th>
</tr>
<tr>
<th valign="top" align="center">Amplification</th>
<th valign="top" align="center">Not amplification</th>
<th valign="top" align="center">mutation</th>
<th valign="top" align="center">No-mutation</th>
<th valign="top" align="center">mutation</th>
<th valign="top" align="center">No-mutation</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="10" align="left">Age (months)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;18</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.606</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.570</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.240</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;18</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center"/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">Gender</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.351</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.032<sup>#</sup>
</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.560</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center"/>
<td valign="top" align="center">12</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">Histology</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NB</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.017<sup>#</sup>
</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">0.064</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GNB</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">Primary site</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chest</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.728</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.034<sup>#</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Abdomen</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">16</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center"/>
<td valign="top" align="center">12</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pelvis</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">INRG stage</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;L1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.230</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;L2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;M</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center"/>
<td valign="top" align="center">16</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center"/>
<td valign="top" align="center">15</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ms</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">INRG risk stratification</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Very low</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.013<sup>#</sup>
</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.101</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Intermediate</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center"/>
<td valign="top" align="center">16</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center"/>
<td valign="top" align="center">13</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">Bone marrow involvement</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0.156</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.01<sup>#</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
<td valign="top" align="center">9</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center"/>
</tr>
<tr>
<th valign="top" colspan="10" align="left">Lymph node metastasis</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;metastasis</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.692</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">0.039<sup>#</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No metastasis</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LDH (IU/L)</td>
<td valign="top" align="center">2637.000&#xb1;1334.187</td>
<td valign="top" align="center">547.807&#xb1;223.195</td>
<td valign="top" align="center">&lt;0.001<sup>#</sup>
</td>
<td valign="top" align="center">1956.611&#xb1;1356.043</td>
<td valign="top" align="center">826.034&#xb1;1014.193</td>
<td valign="top" align="center">0.002<sup>#</sup>
</td>
<td valign="top" align="center">895.823&#xb1;727.453</td>
<td valign="top" align="center">1464.833&#xb1;1465.428</td>
<td valign="top" align="center">0.142</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;NSE</td>
<td valign="top" align="center">521.150&#xb1;150.790</td>
<td valign="top" align="center">249.639&#xb1;170.358</td>
<td valign="top" align="center">&lt;0.001<sup>#</sup>
</td>
<td valign="top" align="center">415.967&#xb1;211.561</td>
<td valign="top" align="center">296.200&#xb1;195.438</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center">371.565&#xb1;179.180</td>
<td valign="top" align="center">325.353&#xb1;223.825</td>
<td valign="top" align="center">0.470</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LEGmax</td>
<td valign="top" align="center">10.975(8.685,13.083)</td>
<td valign="top" align="center">7.550(4.630,10.180)</td>
<td valign="top" align="center">0.050<sup>#</sup>
</td>
<td valign="top" align="center">10.830(8.405,13.225)</td>
<td valign="top" align="center">7.320(4.920,10.080)</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">7.670(6.800,10.080)</td>
<td valign="top" align="center">9.575(5.738,12.550)</td>
<td valign="top" align="center">0.204</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SUVmax</td>
<td valign="top" align="center">9.558&#xb1;4.642</td>
<td valign="top" align="center">6.532&#xb1;3.500</td>
<td valign="top" align="center">0.016<sup>#</sup>
</td>
<td valign="top" align="center">7.681&#xb1;3.544</td>
<td valign="top" align="center">7.489&#xb1;4.525</td>
<td valign="top" align="center">0.879</td>
<td valign="top" align="center">6.384&#xb1;2.458</td>
<td valign="top" align="center">8.230&#xb1;4.748</td>
<td valign="top" align="center">0.144</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SUVmean</td>
<td valign="top" align="center">4.194&#xb1;1.490</td>
<td valign="top" align="center">2.953&#xb1;1.571</td>
<td valign="top" align="center">0.012<sup>#</sup>
</td>
<td valign="top" align="center">3.546&#xb1;1.873</td>
<td valign="top" align="center">3.270&#xb1;1.501</td>
<td valign="top" align="center">0.279</td>
<td valign="top" align="center">3.270&#xb1;1.406</td>
<td valign="top" align="center">3.435&#xb1;1.778</td>
<td valign="top" align="center">0.743</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MTV</td>
<td valign="top" align="center">353.904&#xb1;194.387</td>
<td valign="top" align="center">262.900&#xb1;379.524</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">451.140&#xb1;455.761</td>
<td valign="top" align="center">196.270&#xb1;160.655</td>
<td valign="top" align="center">0.008<sup>#</sup>
</td>
<td valign="top" align="center">223.506&#xb1;185.535</td>
<td valign="top" align="center">333.759&#xb1;384.738</td>
<td valign="top" align="center">0.724</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TLG</td>
<td valign="top" align="center">1549.191&#xb1;1051.693</td>
<td valign="top" align="center">617.908&#xb1;683.038</td>
<td valign="top" align="center">&lt;0.001<sup>#</sup>
</td>
<td valign="top" align="center">1396.290&#xb1;1213.845</td>
<td valign="top" align="center">648.586&#xb1;550.403</td>
<td valign="top" align="center">0.006<sup>#</sup>
</td>
<td valign="top" align="center">617.068&#xb1;453.706</td>
<td valign="top" align="center">1115.069&#xb1;1078.824</td>
<td valign="top" align="center">0.039<sup>#</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NB, Neuroblastoma; GNB, Ganglioneuroblastoma; INRG, International neuroblastoma risk group; SUVmax, maximum standardized uptake value; SUVmean, average standard uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis; LEGmax, the maximal length of the lesion; LDH, lactate dehydrogenase; NSE, neuron-specific enolase. #p&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>MYCN oncogene status, chromosome 11q and 1p36 status as factors influencing bone marrow infiltration.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Modalities</th>
<th valign="top" align="center">B</th>
<th valign="top" align="center">Exp(B)</th>
<th valign="top" align="center">p</th>
<th valign="top" align="center">95% lower</th>
<th valign="top" align="center">95% upper</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">MYCN</td>
<td valign="top" align="center">-0.040</td>
<td valign="top" align="center">0.961</td>
<td valign="top" align="center">0.963</td>
<td valign="top" align="center">0.175</td>
<td valign="top" align="center">5.273</td>
</tr>
<tr>
<td valign="top" align="center">1P36</td>
<td valign="top" align="center">-0.901</td>
<td valign="top" align="center">0.406</td>
<td valign="top" align="center">0.289</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">2.146</td>
</tr>
<tr>
<td valign="top" align="center">11q</td>
<td valign="top" align="center">2.879</td>
<td valign="top" align="center">17.796</td>
<td valign="top" align="center">0.011<sup>#</sup>
</td>
<td valign="top" align="center">1.945</td>
<td valign="top" align="center">162.812</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>#p&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Relationship of different states of MYCN gene, chromosome 1p36 and 11q with PFS</title>
<p>The PFS between chromosome 11q deletion and chromosome 11q non-deletion group PFS is significantly different(X<sup>2 =</sup> 5.314, p=0.021), as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The chromosome 11q non-deletion group has a longer PFS than the chromosome 11q deletion group. MYCN gene amplification and chromosome 1p36 deletion are not associated with PFS.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Relationship between 11q gene deletion and PFS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1099290-g001.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Correlation between MYCN gene amplification, chromosomes 1p36 and 11q deletion</title>
<p>Using Spearman&#x2019;s rank correlation analysis, it can be concluded that MYCN gene amplification was positively correlated with chromosome 1P36 deletion (p=0.002, rs=0.450), while it was not correlated with chromosome 11q deletion (p=0.077, rs=-0.260) in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. The deletion of chromosome 1P36 was not correlated with the deletion of chromosome 11q (p=0.356, rs=-0.138). The clinical biological characteristics and <sup>18</sup>F-FDG PET/CT metabolic parameters of the different combinations with the different status of MYCN gene and chromosome 1p36 and 11q are shown in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Correlation between MYCN gene, chromosome 1p36 and 11q.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="3" rowspan="2" align="left"/>
<th valign="top" colspan="2" align="center">MYCN</th>
<th valign="top" rowspan="2" align="center">p</th>
<th valign="top" rowspan="2" align="center">Rs</th>
</tr>
<tr>
<th valign="top" align="center">Amplification</th>
<th valign="top" align="center">Not amplification</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">1p36</td>
<td valign="top" colspan="2" align="left">Deletion</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.450</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">No-deletion</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">11q</td>
<td valign="top" colspan="2" align="left">Deletion</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">-0.260</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">No-deletion</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>The clinical biological characteristics and <sup>18</sup>F-FDG PET/CT metabolic parameters of the different combinations with the status of MYCN gene and t chromosomes 1p36 and 11q.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">MYCN gene amplification and chromosome 1P36 deletion</th>
<th valign="top" align="center">MYCN gene and chromosome 11q deletion</th>
<th valign="top" align="center">chromosome 1P36 and 11q deletion</th>
<th valign="top" align="center">MYCN gene amplification, chromosome 1P36 and 11q deletion</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Total</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="center">Age (months)</td>
<td valign="top" align="center">1&#x2264;18 month; 9&gt;18 month</td>
<td valign="top" align="center">108 month; 41 month</td>
<td valign="top" align="center">4 &gt;18 month</td>
<td valign="top" align="center">54 month</td>
</tr>
<tr>
<td valign="top" align="center">Gender</td>
<td valign="top" align="center">4 male; 6 female</td>
<td valign="top" align="center">1 male; 1 female</td>
<td valign="top" align="center">1 male;2 female</td>
<td valign="top" align="center">female</td>
</tr>
<tr>
<td valign="top" align="center">Histology</td>
<td valign="top" align="center">10 neuroblastoma</td>
<td valign="top" align="center">2 neuroblastoma</td>
<td valign="top" align="center">3 neuroblastoma;<break/>1 ganglioneuroblastoma</td>
<td valign="top" align="center">neuroblastoma</td>
</tr>
<tr>
<td valign="top" align="center">Primary site</td>
<td valign="top" align="center">10 Abdomen</td>
<td valign="top" align="center">2 Abdomen</td>
<td valign="top" align="center">2 Chest; 2 Abdomen</td>
<td valign="top" align="center">Abdomen</td>
</tr>
<tr>
<td valign="top" align="center">INRG stage</td>
<td valign="top" align="center">9 M; 1 L2</td>
<td valign="top" align="center">2 M</td>
<td valign="top" align="center">4 M</td>
<td valign="top" align="center">M</td>
</tr>
<tr>
<td valign="top" align="center">INRG risk stratification</td>
<td valign="top" align="center">10 High</td>
<td valign="top" align="center">2 High</td>
<td valign="top" align="center">4 High</td>
<td valign="top" align="center">High</td>
</tr>
<tr>
<td valign="top" align="center">Bone marrow involvement</td>
<td valign="top" align="center">2 Positive; 8 negative</td>
<td valign="top" align="center">2 Positive</td>
<td valign="top" align="center">4 Positive</td>
<td valign="top" align="center">Negative</td>
</tr>
<tr>
<td valign="top" align="center">Lymph node metastasis</td>
<td valign="top" align="center">8 Metastasis; 2 No metastasis</td>
<td valign="top" align="center">2 Metastasis</td>
<td valign="top" align="center">4 Metastasis</td>
<td valign="top" align="center">Metastasis</td>
</tr>
<tr>
<td valign="top" align="center">LDH</td>
<td valign="top" align="center">2686.5 (1680.0,3291.5)</td>
<td valign="top" align="center">1471; 1704</td>
<td valign="top" align="center">736.0 (551.75,1212.0)</td>
<td valign="top" align="center">1817</td>
</tr>
<tr>
<td valign="top" align="center">NSE</td>
<td valign="top" align="center">569.4 (462.0,600)</td>
<td valign="top" align="center">542; 600</td>
<td valign="top" align="center">200.5 (347.5,553.75)</td>
<td valign="top" align="center">53.60</td>
</tr>
<tr>
<td valign="top" align="center">LEGmax</td>
<td valign="top" align="center">11.635 (9.803,13.216)</td>
<td valign="top" align="center">7.32; 11.35</td>
<td valign="top" align="center">5.575 (4.035,10.758)</td>
<td valign="top" align="center">13.53</td>
</tr>
<tr>
<td valign="top" align="center">SUVmax</td>
<td valign="top" align="center">9.165 (6.798,10.743)</td>
<td valign="top" align="center">6.93; 9.13</td>
<td valign="top" align="center">5.575 (4.035,6.500)</td>
<td valign="top" align="center">13.47</td>
</tr>
<tr>
<td valign="top" align="center">SUVmean</td>
<td valign="top" align="center">4.400 (2.730,5.118)</td>
<td valign="top" align="center">4.17; 4.93</td>
<td valign="top" align="center">2.585 (1.540,3.645)</td>
<td valign="top" align="center">6.37</td>
</tr>
<tr>
<td valign="top" align="center">MTV</td>
<td valign="top" align="center">327.40 (228.455,616.450)</td>
<td valign="top" align="center">212.50; 349.79</td>
<td valign="top" align="center">252.055 (65.513,704.415)</td>
<td valign="top" align="center">492.74</td>
</tr>
<tr>
<td valign="top" align="center">TLG</td>
<td valign="top" align="center">1222.510 (910.298,3220.478)</td>
<td valign="top" align="center">898.75; 1647.60</td>
<td valign="top" align="center">260.625(115.578,1096.213)</td>
<td valign="top" align="center">3183.75</td>
</tr>
<tr>
<td valign="top" align="center">Follow-up status</td>
<td valign="top" align="center">7 No progression;<break/>3 Progression (1 die)</td>
<td valign="top" align="center">2 No progression</td>
<td valign="top" align="center">2 No progression;<break/>2 Progression</td>
<td valign="top" align="center">Progression (die)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LDH, lactate dehydrogenase; NSE, neuron-specific enolase; INRG, International neuroblastoma risk group; SUVmax, maximum standardized uptake value; SUVmean, average standard uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis; LEGmax, the maximal length of the lesion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Performance of ROC curves to predict MYCN amplification and chromosome 1p36 and 11q deletion</title>
<p>NSE and LDH levels, LEGmax, SUVmax, SUVmean, MTV, and TLG all predicted MYCN gene amplification (all p &lt; 0.05), with LDH being the best, as shown in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>. LDH levels, LEGmax and MTV, TLG all predicted the deletion of chromosome 1p36 (all p &lt; 0.05), with the LDH being the best, while NSE, SUVmax and SUVmean did not (all p &gt; 0.05), as shown in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>. NSE and LDH levels, LEGmax, SUVmax, SUVmean, MTV and TLG could not predict chromosome11q deletion (all p&gt;0.05).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Performance of ROC curves predict the MYCN gene amplification and chromosome 1p36 deletion.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" rowspan="2" align="left"/>
<th valign="top" colspan="7" align="center">MYCN gene</th>
<th valign="top" colspan="4" align="center">chromosome 1P36</th>
</tr>
<tr>
<th valign="top" align="center">NSE</th>
<th valign="top" align="center">LDH</th>
<th valign="top" align="center">LEGmax</th>
<th valign="top" align="center">SUVmax</th>
<th valign="top" align="center">SUVmean</th>
<th valign="top" align="center">MTV</th>
<th valign="top" align="center">TLG</th>
<th valign="top" align="center">LDH</th>
<th valign="top" align="center">LEGmax</th>
<th valign="top" align="center">MTV</th>
<th valign="top" align="center">TLG</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="2" align="left">p</td>
<td valign="top" align="center">0.001<sup>#</sup>
</td>
<td valign="top" align="center">0.001<sup>#</sup>
</td>
<td valign="top" align="center">0.003<sup>#</sup>
</td>
<td valign="top" align="center">0.012<sup>#</sup>
</td>
<td valign="top" align="center">0.007<sup>#</sup>
</td>
<td valign="top" align="center">0.013<sup>#</sup>
</td>
<td valign="top" align="center">0.001<sup>#</sup>
</td>
<td valign="top" align="center">0.001<sup>#</sup>
</td>
<td valign="top" align="center">0.002<sup>#</sup>
</td>
<td valign="top" align="center">0.007<sup>#</sup>
</td>
<td valign="top" align="center">0.034<sup>#</sup>
</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Optimal threshold</td>
<td valign="top" align="center">&gt;472</td>
<td valign="top" align="center">&gt;927</td>
<td valign="top" align="center">&gt;8.75</td>
<td valign="top" align="center">&gt;6.92</td>
<td valign="top" align="center">&gt;4.14</td>
<td valign="top" align="center">&gt;209.02</td>
<td valign="top" align="center">&gt;562.41</td>
<td valign="top" align="center">&gt;792</td>
<td valign="top" align="center">&gt;7.99</td>
<td valign="top" align="center">&gt;229.52</td>
<td valign="top" align="center">&gt;982.43</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">AUC</td>
<td valign="top" align="center">0.875</td>
<td valign="top" align="center">0.990</td>
<td valign="top" align="center">0.764</td>
<td valign="top" align="center">0.726</td>
<td valign="top" align="center">0.742</td>
<td valign="top" align="center">0.724</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.814</td>
<td valign="top" align="center">0.767</td>
<td valign="top" align="center">0.736</td>
<td valign="top" align="center">0.686</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Sensitivity</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.938</td>
<td valign="top" align="center">0.750</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.630</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.875</td>
<td valign="top" align="center">0.722</td>
<td valign="top" align="center">0.833</td>
<td valign="top" align="center">0.722</td>
<td valign="top" align="center">0.611</td>
</tr>
<tr>
<td valign="top" colspan="2" align="left">Specificity</td>
<td valign="top" align="center">0.903</td>
<td valign="top" align="center">0.968</td>
<td valign="top" align="center">0.710</td>
<td valign="top" align="center">0.613</td>
<td valign="top" align="center">0.871</td>
<td valign="top" align="center">0.677</td>
<td valign="top" align="center">0.645</td>
<td valign="top" align="center">0.828</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center">0.724</td>
<td valign="top" align="center">0.793</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">95% CI</td>
<td valign="top" align="left">Upper limit</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center">0.906</td>
<td valign="top" align="center">0.618</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.594</td>
<td valign="top" align="center">0.574</td>
<td valign="top" align="center">0.687</td>
<td valign="top" align="center">0.689</td>
<td valign="top" align="center">0.621</td>
<td valign="top" align="center">0.588</td>
<td valign="top" align="center">0.525</td>
</tr>
<tr>
<td valign="top" align="left">Lower limit</td>
<td valign="top" align="center">0.953</td>
<td valign="top" align="center">1.000</td>
<td valign="top" align="center">0.876</td>
<td valign="top" align="center">0.846</td>
<td valign="top" align="center">0.858</td>
<td valign="top" align="center">0.844</td>
<td valign="top" align="center">0.938</td>
<td valign="top" align="center">0.939</td>
<td valign="top" align="center">0.914</td>
<td valign="top" align="center">0.883</td>
<td valign="top" align="center">0.847</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NSE, neuron-specific enolase; LDH, lactate dehydrogenase; SUVmax, maximum standardized uptake value; SUVmean, average standard uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis; LEGmax, the maximal length of the lesion. #p&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Performance of ROC curves predict the <bold>(A)</bold> MYCN gene amplification and <bold>(B)</bold> chromosome 1p36 deletion..</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1099290-g002.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Relationship of LDH and NSE levels, age, gender, <sup>18</sup>F-FDG PET/CT metabolic parameters with PFS</title>
<p>In addition to gender (p=0.543), the age, the levels of LDH and NSE, the LEGmax, <sup>18</sup>F-FDG PET/CT metabolic parameters (all p &lt; 0.01), including SUVmax, SUVmean, MTV and TLG, were all associated with PFS, as shown in <xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Relationship of the age, gender and the levels of LDH, NSE and <sup>18</sup>F-FDG PET/CT metabolic parameters with PFS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Age</th>
<th valign="top" align="center">Gender</th>
<th valign="top" align="center">LDH</th>
<th valign="top" align="center">NSE</th>
<th valign="top" align="center">LEGmax</th>
<th valign="top" align="center">SUVmax</th>
<th valign="top" align="center">SUVmean</th>
<th valign="top" align="center">MTV</th>
<th valign="top" align="center">TLG</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<italic>&#x3c7;</italic>
<sup>2</sup>
</td>
<td valign="top" align="center">113.907</td>
<td valign="top" align="center">0.369</td>
<td valign="top" align="center">154.810</td>
<td valign="top" align="center">100.147</td>
<td valign="top" align="center">154.802</td>
<td valign="top" align="center">154.832</td>
<td valign="top" align="center">152.396</td>
<td valign="top" align="center">154.832</td>
<td valign="top" align="center">154.832</td>
</tr>
<tr>
<td valign="top" align="left">p</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
<td valign="top" align="center">&lt;0.01<sup>#</sup>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LDH, lactate dehydrogenase; NSE, neuron-specific enolase; SUVmax, maximum standardized uptake value; SUVmean, average standard uptake value; MTV, metabolic tumor volume; TLG, total lesion glycolysis; LEGmax, the maximal length of the lesion. #p&lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>
<sup>123</sup>I-MIBG scintigraphy and <sup>68</sup>Ga-1,4,7,10-tetraazacyclododecane1,4,7,10-tetraacetic acid (DOTA) peptides are now the mainstay nuclear imaging agents for neuroblastoma (<xref ref-type="bibr" rid="B22">22</xref>). <sup>123</sup>I-MIBG imaging is primarily due to its structural similarity to norepinephrine, tissue that selectively concentrates <sup>123</sup>I-MIBG with abundant adrenergic innervation, and mostly neuroectodermal tissues, including neuroblastoma (<xref ref-type="bibr" rid="B23">23</xref>). High affinity binding of different <sup>68</sup>Ga-DOTA peptides to SSTR for PET/CT imaging (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Somatostatin receptors (SSTR) are expressed in 77%&#x2013;89% of neuroblastoma cells. Most studies have confirmed the feasibility of <sup>18</sup>F-FDG PET for neuroblastoma imaging, which is seen as an important and widespread alternative to <sup>123</sup>I-MIBG scanning, especially for non-MIBG uptake (<xref ref-type="bibr" rid="B26">26</xref>). <sup>18</sup>F-FDG scan may be useful in assessing the full extent of disease involvement, particularly at therapeutic decision points (<xref ref-type="bibr" rid="B26">26</xref>). We report the <sup>18</sup>F-FDG PET/CT metabolic parameters in newly diagnosed pediatric neuroblastoma and their association with the other indicators of disease clinical biological characteristics and survival status.</p>
<p>In our study, 47 of 60 patients had molecular pathology results, including the status of MYCN gene and chromosomal 1p36 and 11q. We found that the rates of MYCN gene amplification, the chromosome 1p36 and 11q deletion were 34%, 38.3% and 36.2%, respectively, which is in general agreement with other reports on pediatric neuroblastoma (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B27">27</xref>). In our study, we also found a correlation between MYCN gene amplification and chromosome 1p36 deletions (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). In contrast, there was no correlation between MYCN gene amplification and chromosome 11q deletion and between chromosome 1p36 and 11q deletions.</p>
<p>Much research has found that MYCN gene amplification, chromosome 1p36 and 11q deletions can predict stage and prognosis in patients with neuroblastoma. In our study, MYCN gene amplification and chromosome 11q deletion predict high-risk stratification. What&#x2019;s more, chromosomal deletion in 11q is highly correlated with lymph node metastasis and bone marrow involvement, suggesting a causal relationship between this region and the disease stage. Based on the Kaplan Meier method and log-rank test, chromosome11q deletion can affect PFS, and patients with chromosome 11q deletions are more likely to progress or die. These results are consistent with other reports of chromosome 11q mutations in pediatric neuroblastoma (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). In addition, we also found that MYCN oncogene amplification is only found in patients with NB, about 100%.</p>
<p>
<sup>18</sup>F-FDG PET/CT can be used for tumor characterization and prognostic assessment in patients with neuroblastoma (<xref ref-type="bibr" rid="B18">18</xref>). However, fewer reports have been reported on the ability of <sup>18</sup>F-FDG PET/CT metabolic parameters in predicting the case of MYCN oncogene amplification, chromosome 1p36 and 11q deletion. In our study, the levels of LDH, NSE and LEGmax, SUVmax, SUVmean, TLG were higher in the MYCN gene amplification group than in the non-amplified group, and the differences were statistically significant in both groups, except for MTV. Meanwhile, the levels of LDH, the lesion MTV and TLG were higher in the chromosome 1p36 deletion group than in the non-deletion group. The differences were statistically significant in both groups. The lesion MTV was higher in the chromosome 11q deletion group than in the non-deletion group, and the difference between them was statistically significant.</p>
<p>Based on receiver operating characteristic (ROC) curve analysis, we obtained optimal threshold values of SUVmax 6.92, SUVmean 4.14, MTV 209.02 cm<sup>3</sup>, TLG 562.41, NSE 472.0 ng/ml, LDH 927.0 U/L and LEGmax 8.75cm, which can determine whether amplification of the MYCN gene occurred. Meanwhile, we also obtained optimal threshold values of MTV 229.52 cm<sup>3</sup>, TLG 982.43, LDH 792 U/L and LEGmax 7.99cm, these can determine whether a deletion of chromosome 1p36 has occurred. Surprisingly, there are no <sup>18</sup>F-FDG PET/CT metabolic parameters and laboratory indicators that can effectively determine whether chromosome 11q is mutated.</p>
<p>In addition to gender (p=0.543), the age, the levels of LDH and NSE, the LEGmax, <sup>18</sup>F-FDG PET/CT metabolic parameters (all p &lt; 0.01), including SUVmax, SUVmean, MTV and TLG are all associated with PFS. In <sup>18</sup>F-FDG PET/CT metabolic parameters, higher SUVmax, SUVmean, MTV and TLG were associated with worse PFS.</p>
<p>There are several limitations to our study. First, our results are inherently subject to selection bias as a retrospective study. Second, it may be that the small number of patients collected does not allow for a valid assessment of the differences in metabolic parameters of <sup>18</sup>F-FDG PET/CT in multiple patients with simultaneous several molecular deletions. Third, we only performed correlation analyzes for PFS because of the short follow-up of patients (2-42 months; median time 9.5 months). It is also possible that the observation of the influence of the MYCN oncogene amplification and the chromosome 1p36 deletions on PFS was limited by the short follow-up period. Another shortcoming is that the status of chromosome 17q was not evaluated in our hospital.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>The LDH levels, LEGmax, MTV and TLG can effectively predict the status of the MYCN oncogene and chromosome 1p36 in pediatric neuroblastoma and ganglioneuroblastoma. Those patients with chromosome 11q deletions are more likely to develop bone marrow involvement and lymph node metastases, showing a worse progression-free survival.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Cancer Hospital Affiliated to Shandong First Medical University. Written informed consent to participate in this study was provided by the participants&#x2019; legal guardian/next of kin. Written informed consent was obtained from the minor(s)&#x2019; legal guardian/next of kin for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JR: acquisition of data, analysis of data, drafting of the manuscript. YZ: analysis of data and revision of the manuscript. ZF: revision of the manuscript, supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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