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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">OR</journal-id>
<journal-title-group>
<journal-title>Oncology Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1021-335X</issn>
<issn pub-type="epub">1791-2431</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/or.2014.3575</article-id>
<article-id pub-id-type="publisher-id">or-33-01-0347</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Evaluation of diethylnitrosamine- or hepatitis B virus X gene-induced hepatocellular carcinoma with <sup>18</sup>F-FDG PET/CT: A preclinical study</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>PARK</surname><given-names>JU HUI</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref><xref rid="af2-or-33-01-0347" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>KANG</surname><given-names>JOO HYUN</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-or-33-01-0347"/></contrib>
<contrib contrib-type="author">
<name><surname>LEE</surname><given-names>YONG JIN</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>KIM</surname><given-names>KWANG IL</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>LEE</surname><given-names>TAE SUP</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>KIM</surname><given-names>KYEONG MIN</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>PARK</surname><given-names>JI AE</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>KO</surname><given-names>YIN OHK</given-names></name><xref rid="af1-or-33-01-0347" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>YU</surname><given-names>DAE-YEUL</given-names></name><xref rid="af3-or-33-01-0347" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>NAHM</surname><given-names>SANG-SOEP</given-names></name><xref rid="af4-or-33-01-0347" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>JEON</surname><given-names>TAE JOO</given-names></name><xref rid="af5-or-33-01-0347" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>PARK</surname><given-names>YOUNG-SEO</given-names></name><xref rid="af2-or-33-01-0347" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>LIM</surname><given-names>SANG MOO</given-names></name><xref rid="af6-or-33-01-0347" ref-type="aff">6</xref></contrib></contrib-group>
<aff id="af1-or-33-01-0347">
<label>1</label>Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul 139-706, Republic of Korea</aff>
<aff id="af2-or-33-01-0347">
<label>2</label>Department of Food Science and Biotechnology, Gachon University, Gyeonggi-do 461-701, Republic of Korea</aff>
<aff id="af3-or-33-01-0347">
<label>3</label>Animal Molecular Physiology Research Unit, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Republic of Korea</aff>
<aff id="af4-or-33-01-0347">
<label>4</label>Department of Veterinary Medicine, College of Veterinary Medicine, Konkuk University, Seoul 143-701, Republic of Korea</aff>
<aff id="af5-or-33-01-0347">
<label>5</label>Department of Nuclear Medicine, Gangnam Severance Hospital, Seoul 135-720, Republic of Korea</aff>
<aff id="af6-or-33-01-0347">
<label>6</label>Department of Nuclear Medicine, KIRAMS, Seoul 139-706, Republic of Korea</aff>
<author-notes>
<corresp id="c1-or-33-01-0347">Correspondence to: Dr Joo Hyun Kang, Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences (KIRAMS), 75 Nowon-gil, Gongneung-Dong, Nowon-Gu, Seoul 139-706, Republic of Korea, E-mail: <email>kang2325@kirams.re.kr</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>1</month>
<year>2015</year></pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>10</month>
<year>2014</year></pub-date>
<volume>33</volume>
<issue>1</issue>
<fpage>347</fpage>
<lpage>353</lpage>
<history>
<date date-type="received">
<day>25</day>
<month>06</month>
<year>2014</year></date>
<date date-type="accepted">
<day>07</day>
<month>10</month>
<year>2014</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2015, Spandidos Publications</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>The aim of this study was to evaluate whether the development of hepatocellular carcinoma (HCC) in murine models resembles tumor progression in humans, using non-invasive molecular imaging methods. Murine HCC models were generated by treating mice with diethylnitrosamine (DEN) or by the transgenic expression of hepatitis B virus X (HBx) protein (HBx-Tg model). Tumor development was detected using <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) positron emission tomography (PET)/computed tomography (CT) and magnetic resonance imaging (MRI). The histopathological changes and expression of glucose transporter 1 (Glut1) and hexokinase 2 (HK2) were evaluated using hematoxylin and eosin and immunohistochemical staining, respectively. Tumor lesions as small as 1 mm in diameter were detected by MRI. Tumor development was monitored using <sup>18</sup>F-FDG PET/CT at 6.5&#x02013;10 months after DEN treatment or 11&#x02013;20 months after birth of the HBx-Tg model mice. A correlation study between the <sup>18</sup>F-FDG uptake levels and expression levels of HK2 and Glut1 in developed HCC showed a high <sup>18</sup>F-FDG uptake in poorly differentiated HCCs that expressed high levels of HK2, in contrast to that in well-differentiated tumors. The progression of primary HCCs resembling human HCC in murine models was detected and monitored by <sup>18</sup>F-FDG PET/CT. The correlation between tumor size and SUV<sub>max</sub> was verified in the two HCC models. To the best of our knowledge, this is the first study to demonstrate that <italic>in vivo</italic> <sup>18</sup>F-FDG uptake varies in HCCs according to differentiation grade in a preclinical study.</p></abstract>
<kwd-group>
<kwd>diethylnitrosamine</kwd>
<kwd>hepatitis B virus X protein</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd><sup>18</sup>F-FDG-PET/CT</kwd>
<kwd>tumor grading</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Non-invasive imaging methods are indispensable for detecting and diagnosing tumors in internal organs, such as the liver and brain. Among various imaging modalities, computed tomography (CT) and magnetic resonance imaging (MRI) provide anatomical information, whereas positron emission tomography (PET) provides functional information regarding a disease. Since each imaging modality has unique advantages and disadvantages (<xref rid="b1-or-33-01-0347" ref-type="bibr">1</xref>,<xref rid="b2-or-33-01-0347" ref-type="bibr">2</xref>), appropriate complementary imaging technologies have been developed. PET is widely used in nuclear medicine for the diagnosis of diverse malignant tumors and monitoring tissue metabolism (<xref rid="b3-or-33-01-0347" ref-type="bibr">3</xref>).</p>
<p>PET imaging is achieved by use of radiotracers, with <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) being commonly used in clinical practice for evaluation of the metabolic status of abnormal and normal tissues (<xref rid="b4-or-33-01-0347" ref-type="bibr">4</xref>). <sup>18</sup>F-FDG is actively transported into cells by the same transporters that incorporate glucose (<xref rid="b5-or-33-01-0347" ref-type="bibr">5</xref>), and is then phosphorylated by hexokinase 2 (HK2) or glucokinase and converted to FDG 6-phosphate, which is trapped in the cell immediately after phosphorylation (<xref rid="b5-or-33-01-0347" ref-type="bibr">5</xref>). Increased glucose uptake is characteristic of malignant tumors, because tumors have increased expression levels of glucose transporters and intracellular enzymes, such as HK2, that are involved in glycolysis (<xref rid="b6-or-33-01-0347" ref-type="bibr">6</xref>).</p>
<p>The intracellular concentration of <sup>18</sup>F-FDG in tumors typically represents the glycolytic activity of viable tumor cells. However, the detection of primary hepatocellular carcinoma (HCC) is less successful because <sup>18</sup>F-FDG uptake varies among tumor cells at different stages of differentiation (<xref rid="b7-or-33-01-0347" ref-type="bibr">7</xref>). For example, the detection rate of HCCs by <sup>18</sup>F-FDG PET varied from 50 to 70&#x00025; in findings of previous studies (<xref rid="b8-or-33-01-0347" ref-type="bibr">8</xref>&#x02013;<xref rid="b10-or-33-01-0347" ref-type="bibr">10</xref>). However, <sup>18</sup>F-FDG PET has been effective in the detection of poorly differentiated HCC (<xref rid="b10-or-33-01-0347" ref-type="bibr">10</xref>,<xref rid="b11-or-33-01-0347" ref-type="bibr">11</xref>) and has been considered valuable for detecting extrahepatic metastasis and assessing the response to treatment after molecular-targeted therapy (<xref rid="b11-or-33-01-0347" ref-type="bibr">11</xref>).</p>
<p>HCC is one of the most common human cancers and its incidence is on the increase worldwide according to epidemiological data (<xref rid="b12-or-33-01-0347" ref-type="bibr">12</xref>). The precise molecular mechanism underlying HCC progression is poorly understood. Therefore, it is essential to establish an animal model of HCC to monitor tumor progression and the efficacy of therapeutic intervention. In this respect, a xenograft model using immune-deficient mice, such as athymic or severe combined immune deficiency mice, is benificial, such as being readily and rapidly established and that it can be used effectively and efficiently when the appropriate cell lines are selected (<xref rid="b13-or-33-01-0347" ref-type="bibr">13</xref>). However, as is the case for any animal model, tumor progression and the tumor microenvironment may not precisely reflect the human counterpart (<xref rid="b14-or-33-01-0347" ref-type="bibr">14</xref>). Therefore, new models that can precisely reflect the progression of malignancies in humans should be identified.</p>
<p>Genetically modified mouse models (GMM), as well as models based on treating mice with chemical carcinogens that mimic the pathophysiological and molecular features of HCC in humans are available (<xref rid="b14-or-33-01-0347" ref-type="bibr">14</xref>). GMMs are generally produced by the transgenic expression of oncogenes, such as c-myc (<xref rid="b15-or-33-01-0347" ref-type="bibr">15</xref>), H-Ras (<xref rid="b16-or-33-01-0347" ref-type="bibr">16</xref>) and hepatitis B virus (HBV)-associated genes (<xref rid="b17-or-33-01-0347" ref-type="bibr">17</xref>,<xref rid="b18-or-33-01-0347" ref-type="bibr">18</xref>) under the control of tissue-specific promoters. Furthermore, several chemical carcinogens are known to induce HCC, including diethylnitrosamine (DEN) (<xref rid="b19-or-33-01-0347" ref-type="bibr">19</xref>), aflatoxin (<xref rid="b20-or-33-01-0347" ref-type="bibr">20</xref>), thioacetamide (<xref rid="b21-or-33-01-0347" ref-type="bibr">21</xref>) and carbon tetrachloride (<xref rid="b22-or-33-01-0347" ref-type="bibr">22</xref>).</p>
<p>Among the chemical carcinogens that can induce HCC, the carcinogenicity of DEN is due to alkylation of cellular DNA (<xref rid="b23-or-33-01-0347" ref-type="bibr">23</xref>) and generation of reactive oxygen species (<xref rid="b24-or-33-01-0347" ref-type="bibr">24</xref>). The mechanism of HCC development following the administration of a single dose of DEN depends on the dosage of DEN used and the gender and age of the mice (<xref rid="b25-or-33-01-0347" ref-type="bibr">25</xref>). Thus, DEN induced HCC in 100&#x00025; of male and in 30&#x00025; of female mice. The gender disparity in HCC incidence was caused by MyD88-dependent production of interleukin-6 (<xref rid="b26-or-33-01-0347" ref-type="bibr">26</xref>). In the present study, we utilized murine models that resemble HCC in humans, through transgenic mice expression of the oncogenic hepatitis B virus X (HBx) and DEN-treated mice. We then evaluated primary HCC and monitored HCC progression longitudinally using <sup>18</sup>F-FDG small animal PET/CT and 3-T clinical MRI and compared <sup>18</sup>F-FDG uptake at different stages of tumor differentiation.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>HCC tumor-bearing mouse models</title>
<p>The care, maintenance and treatment of animals in these studies followed protocols approved by the Institutional Animal Care and Use Committee of the Korea Institute of Radiological and Medical Sciences.</p>
<p>Female and male C57BL/6 mice were purchased from The Central Lab, Animal Inc., Seoul, Korea and transgenic mice expressing the HBx (HBx-Tg model) were provided by Yu <italic>et al</italic> (<xref rid="b17-or-33-01-0347" ref-type="bibr">17</xref>). The mice were maintained at 22&#x02013;24&#x000B0;C and 45&#x02013;60&#x00025; relative humidity, and had free access to food and water, in an air-conditioned incubator. To establish the chemical carcinogen-induced hepatic tumor model (DEN-model), 3-week-old male mice were injected intraperitoneally once with DEN at 20 mg/kg body weight (Sigma Aldrich, St. Louis, MO, USA).</p></sec>
<sec>
<title>MRI</title>
<p>MRI scanning was performed using a clinical 3-T MR unit (Magnetom Tim Trio, Siemens Medical Solutions, Erlangen, Germany) with a wrist coil, and the mice were fixed in a prone position. Fourteen mice were scanned at 19&#x02013;21 months after DEN treatment and 13 HBx-Tg mice were scanned at 11&#x02013;19 months after birth. Prior to scanning, the animals were anesthetized with 2&#x00025; isoflurane in oxygen. The imaging parameters for the T2-weighted volumetric interpolated brain examination sequence were: repetition time (TR) =1,620 msec, echo time (TE) =37 msec, 60-mm field of view (FOV), 256&#x000D7;256 matrix size, 1-mm slice thickness, and number of excitations =2. Tumor size was calculated by measuring the diameter from MRI using Piview software (Mediface, Korea).</p></sec>
<sec>
<title>Small animal PET/CT study</title>
<p>Mice harboring HCC, as detected with 3-T MRI, were fasted overnight prior to <sup>18</sup>F-FDG PET/ CT scanning. The mice were anesthetized with 2&#x00025; isoflurane in oxygen and injected into the tail vein with 7.4 MBq of <sup>18</sup>F-FDG and then kept in a chamber with 0.5&#x00025; isoflurane for 1 h. PET/CT images were obtained using an Inveon small animal PET/SPECT/CT system (Siemens Medical Solutions). The CT scan was conducted, and then PET/CT images were obtained using the following settings: CT scan total rotation of 360&#x000B0;, estimated scan time of 180 sec; X-ray exposure time of 300 msec, average frame of 1 and effective pixel size of 109.63 &#x003BC;m, with fluoroscopy scan time of 60 sec, X-ray voltage and current of 70 kVp and 400 &#x003BC;A, respectively. PET images were scanned using a 1,200 sec acquisition time and a 511-KeV energy level (lower level was 350 KeV and the upper level, 650 KeV). During acquisition of the PET images, the mice were anesthetized using 2&#x00025; isoflurane.</p>
<p><sup>18</sup>F-FDG was obtained from the Korea Institute of Radiological and Medical Sciences. The level of <sup>18</sup>F-FDG uptake in tumor nodules was measured as max standard uptake values (SUV<sub>max</sub>), in which uptake activity was normalized for body weight and injected activity. Reconstruction of data sets, PET-CT fusion and image analysis were performed using Inveon Research Workplace (IRW) software (Siemens Medical Solutions).</p></sec>
<sec>
<title>Histopathological evaluation and immunohistochemistry</title>
<p>To evaluate the histopathological changes of the induced tumors, mice were euthanized and the liver tissues containing visible cancer masses were dissected. The specimens were washed with cold phosphate-buffered saline, fixed in 10&#x00025; neutral buffered formalin and then embedded in paraffin. The tissue blocks were cut into 5-&#x003BC;m sections and subjected to hematoxylin and eosin (H&amp;E) staining for light microscopy. Tumor regions with high or low <sup>18</sup>F-FDG accumulations were dissected, removed and processed separately.</p>
<p>Immunohistochemistry (IHC) was performed to determine the level of HK2 (HK2 monoclonal antibody, Thermo Scientific, Waltham, MA, USA) and Glut1 (Glut1; anti-GLUT1 antibody, Abcam, Cambridge, UK). Tissue sections were deparaffinized, rehydrated and incubated with 3&#x00025; hydrogen peroxide for 20 min to block the endogenous peroxidase activity. Blocking was performed with 10&#x00025; goat serum for 10 min. The sections were incubated with primary antibody at 4&#x000B0;C overnight and then with the appropriate secondary and tertiary antibodies for 30 min at room temperature. After washing, signals were detected using diaminobenzidine. Sections incubated without primary antibody served as negative controls. After examination of stained sections, the relative intensity of the immunoreactivity was classified into 3 grades: + (weak signal), ++ (medium signal) and +++ (fairly strong signal).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Detection of induced HCC and multiple tumor lesions</title>
<p>The development of HCC in the DEN- or HBx-Tg model was observed using a clinical 3-T MRI capable of detecting tumors &gt;1 mm in diameter. Lesions of this size were readily detected using MRI, but not with the small animal <sup>18</sup>F-FDG PET due to a resolution difference between the two imaging systems. Using MRI, tumors were detected in mice aged 6.5&#x02013;21 months and 11&#x02013;17 months in the DEN and HBx-Tg models, respectively.</p>
<p>The incidence of lesions was 50&#x00025; (7/14 mice) in the DEN model and 38&#x00025; (5/13 mice) in the HBx-Tg model. Eighteen and 11 multiple tumors developed in seven DEN- and five HBx-Tg model mice, respectively. Approximately 1&#x02013;8 nodules of varying size were detected in each mouse. For example, three nodules induced by DEN throughout the liver (<xref rid="f1-or-33-01-0347" ref-type="fig">Fig. 1A</xref>) and one nodule by HBx oncogene (<xref rid="f1-or-33-01-0347" ref-type="fig">Fig. 1B</xref>) were visualized by MRI and <sup>18</sup>F-FDG PET/CT. There was a correlation between tumor size and SUV<sub>max</sub> in the DEN-model (r<sup>2</sup>=0.645) and HBx-Tg model (r<sup>2</sup>=0.6026) (<xref rid="f1-or-33-01-0347" ref-type="fig">Fig. 1C and D</xref>, respectively).</p></sec>
<sec>
<title>Longitudinal monitoring of tumor growth using <sup>18</sup>F-FDG PET/CT</title>
<p>Tumor progression was monitored longitudinally and non-invasively using <sup>18</sup>F-FDG PET/CT. Tumors in DEN-model mice were first detected 6.5 months after DEN treatment and were longitudinally monitored until 10 months (<xref rid="f2-or-33-01-0347" ref-type="fig">Fig. 2A</xref>). In the HBx-Tg model mice, tumor nodules were observed at 11 months after birth and were followed up to 20 months (<xref rid="f2-or-33-01-0347" ref-type="fig">Fig. 2B</xref>). The increased size of tumor nodules was also assessed by the enhanced <sup>18</sup>F-FDG uptake in PET (<xref rid="f2-or-33-01-0347" ref-type="fig">Fig. 2</xref>).</p></sec>
<sec>
<title>Histopathological evaluation for verification of HCC</title>
<p>The sizes of the HCC nodules varied in the two models. The tumor nodules were either encapsulated by connective tissue or not well circumscribed (<xref rid="f3-or-33-01-0347" ref-type="fig">Fig. 3B and C</xref>). Following histopathological examination, tumor nodules were identified as either hepatocellular adenoma (HCA) or carcinoma. HCA was developed in the DEN- and HBx-Tg model mice and showed characteristics typical of adenoma, including irregular hepatic cord cells and vacuolated cytoplasm (arrows, <xref rid="f3-or-33-01-0347" ref-type="fig">Fig. 3B</xref>). HCC was also evident in the two models. In HCCs, the architecture of the hepatocytes appeared to be irregular and the tumor nodules contained pleomorphic cells (<xref rid="f3-or-33-01-0347" ref-type="fig">Fig. 3C&#x02013;E</xref>). The cellular arrangement of HCC that developed in HBx-Tg mice was either that of a poorly differentiated (<xref rid="f3-or-33-01-0347" ref-type="fig">Fig. 3D</xref>) or well-differentiated carcinoma (<xref rid="f3-or-33-01-0347" ref-type="fig">Fig. 3E</xref>). We found that HCCs from high <sup>18</sup>F-FDG uptake tumor nodules were poorly differentiated, while one from low <sup>18</sup>F-FDG uptake was well-differentiated. To determine the level of Glut1 and HK2 protein expression, IHC was performed using high and low <sup>18</sup>F-FDG uptake tumors. A stronger expression of HK2 protein was noted in tumors with high <sup>18</sup>F-FDG uptake, as compared with that in tumors with low <sup>18</sup>F-FDG uptake (<xref rid="f4-or-33-01-0347" ref-type="fig">Fig. 4</xref>), in the DEN and HBx-Tg models. On the other hand, comparable expression levels of Glut1 were observed in the two types of tumors (<xref rid="tI-or-33-01-0347" ref-type="table">Table I</xref> and <xref rid="f4-or-33-01-0347" ref-type="fig">Fig. 4</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Molecular imaging methods such as MRI, PET or optical imaging may be applicable for the non-invasive detection of induced tumors and monitoring of therapeutic effects. Early diagnosis using imaging methods also provides information associated with the mechanism of tumor development and progression and may be used for monitoring the tumors developed in internal organs, including the liver, colon or brain, as well as metastatic tumors (<xref rid="b23-or-33-01-0347" ref-type="bibr">23</xref>,<xref rid="b27-or-33-01-0347" ref-type="bibr">27</xref>).</p>
<p>Schmid <italic>et al</italic> (<xref rid="b28-or-33-01-0347" ref-type="bibr">28</xref>) previously reported on the growth kinetics of DEN-induced liver tumors in mice analyzed using 7-T MRI without contrast agent. They identified that <sup>18</sup>F-FDG PET is not suitable for detection of liver tumors because of the non-specific signals obtained from highly perfused livers. However, <sup>18</sup>F-FDG PET/CT imaging was previously successfully applied in the study of liver tumors in a <italic>c-myc</italic> transgenic murine model to monitor the effects of DEN as an enhancer of tumor growth and metastatic spread (<xref rid="b29-or-33-01-0347" ref-type="bibr">29</xref>). Recently, Heijink <italic>et al</italic> (<xref rid="b30-or-33-01-0347" ref-type="bibr">30</xref>) investigated the use of <sup>18</sup>F-FDG PET for the longitudinal monitoring of <italic>Apc</italic> mutant mice that had developed multiple colorectal adenomas. Authors of that study were able to detect abdominal hot spots reflecting metabolically active intestinal adenomas with diameters &lt;2 mm.</p>
<p>In the present study, we induced HCC in mice by DEN treatment or by transgenic expression of the HBx oncoprotein. We determined the location, boundary, number and size of multiple tumor nodules using a 3-T clinical MRI unit and <sup>18</sup>F-FDG small animal PET/CT imaging. Our data demonstrated that multimodal imaging techniques can be successfully applied to evaluate and monitor tumor progression and that <sup>18</sup>F-FDG PET allows longitudinal monitoring of tumor development.</p>
<p>Lee <italic>et al</italic> (<xref rid="b31-or-33-01-0347" ref-type="bibr">31</xref>) previously applied functional genomics to identify a best-fit murine model of human HCC from seven mouse models, including two chemically induced, four transgenic and one knockout model. Those authors concluded that the gene expression patterns of HCC induced in <italic>c-myc</italic>- and transforming growth factor-&#x003B1;-overexpressing transgenic mice and DEN-treated mice were similar to those of HCC in humans with poor prognosis. Thus, the present study made use of mouse models of HCC that mimic human HCC. Moreover, HCCs induced in an HBx-Tg mouse model were analogous to human HCCs with respect to histological findings (<xref rid="b17-or-33-01-0347" ref-type="bibr">17</xref>).</p>
<p>DEN induces liver (<xref rid="b19-or-33-01-0347" ref-type="bibr">19</xref>), gastrointestinal (<xref rid="b32-or-33-01-0347" ref-type="bibr">32</xref>) and hematopoietic tumors (<xref rid="b33-or-33-01-0347" ref-type="bibr">33</xref>) by alkylation of genomic DNA (<xref rid="b23-or-33-01-0347" ref-type="bibr">23</xref>) and generation of reactive oxygen species (<xref rid="b24-or-33-01-0347" ref-type="bibr">24</xref>). Since HCCs induced by DEN express &#x003B1;-fetoprotein (AFP), transgenic mice-expressing reporter genes such as luciferase or HSV1-thymidine kinase under the control of the AFP enhancer/promoter have previously been applied in the study of DEN-induced hepatocarcinogenesis (<xref rid="b34-or-33-01-0347" ref-type="bibr">34</xref>,<xref rid="b35-or-33-01-0347" ref-type="bibr">35</xref>). Kim <italic>et al</italic> (<xref rid="b36-or-33-01-0347" ref-type="bibr">36</xref>) detected DEN-induced AFP-positive HCC using systemic administration of a recombinant adenovirus-expressing luciferase controlled by the AFP promoter/enhancer.</p>
<p>HBV virus is a small hepatotropic DNA virus and its carcinogenic effects on the liver are attributed to the non-structural X protein (<xref rid="b37-or-33-01-0347" ref-type="bibr">37</xref>) that functions as a transcriptional activator of proteins, triggering signaling cascades required for hepatocyte proliferation. Moreover, the transgenic expression of HBx has been reported to induce liver cancer in mice (<xref rid="b17-or-33-01-0347" ref-type="bibr">17</xref>) and to promote DEN-mediated hepatocarcinogenesis caused by the proliferation of altered hepatocytes (<xref rid="b38-or-33-01-0347" ref-type="bibr">38</xref>). The present study is the first, to the best of our knowledge, to characterize HBx-induced HCC using MRI and <sup>18</sup>F-FDG PET/CT, although HCCs induced by the expression of a <italic>c-myc</italic> transgene in mice have also been characterized using <sup>18</sup>F-FDG PET/CT or MRI (<xref rid="b29-or-33-01-0347" ref-type="bibr">29</xref>,<xref rid="b39-or-33-01-0347" ref-type="bibr">39</xref>). Yu <italic>et al</italic> (<xref rid="b17-or-33-01-0347" ref-type="bibr">17</xref>) reported that grossly defined HCC was observed from the age of 11&#x02013;18 months by histologic investigation after sacrifice of HBx-Tg mice. However, we readily and non-invasively detected HBx gene expression-induced HCC by <sup>18</sup>F-FDG PET from the age of 11 months (<xref rid="f1-or-33-01-0347" ref-type="fig">Fig. 1</xref> and <xref rid="f2-or-33-01-0347" ref-type="fig">2B</xref>). We have also demonstrated a correlation between tumor sizes measured by MRI and SUV<sub>max</sub> of <sup>18</sup>F-FDG PET/CT in chemical- and oncogene-induced HCC models.</p>
<p>In humans, detection of HCC using <sup>18</sup>F-FDG PET varies depending on the histological differentiation grade. Poorly differentiated HCC, which is associated with poorer survival, exhibited a higher uptake of <sup>18</sup>F-FDG than low-grade HCC, which is associated with a higher expression of HK2 (<xref rid="b10-or-33-01-0347" ref-type="bibr">10</xref>,<xref rid="b11-or-33-01-0347" ref-type="bibr">11</xref>,<xref rid="b40-or-33-01-0347" ref-type="bibr">40</xref>). In the present study, the differentiation grade of HCC in the HBx-Tg model as determined using H&amp;E staining was shown for the first time shown to correlate with <sup>18</sup>F-FDG uptake (<xref rid="tI-or-33-01-0347" ref-type="table">Table I</xref>).</p>
<p>The present findings indicate the potential of non-invasive multimodal imaging to study the pathogenesis of HCC and develop highly sensitive and specific diagnostic techniques. The animal models described in this study should also yield key insights into the molecular basis of HCC and improve diagnosis and therapy.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by a Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST) (NRF-2012M2A2A7013480). The authors would like to thank Kyungho Min for assistance with histological analysis.</p></ack>
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<floats-group>
<fig id="f1-or-33-01-0347" position="float">
<label>Figure 1</label>
<caption>
<p>Representative T2-weighted magnetic resonance image (MRI) (upper panel) and <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) PET/CT images (lower panel) at 19 months after treatment with (A) diethylnitrosamine (DEN) and of a (B) hepatitis B virus X protein (HBx-Tg model) at 11 months after birth. <sup>18</sup>F-FDG PET/CT images were obtained after MRI acquisition with a T2-weighted sequence. (C and D) Correlation of tumor size and SUV<sub>max</sub> in the DEN and HBx-Tg models, respectively. Dotted line, H and asterisk indicate tumors, heart and stomach, respectively.</p></caption>
<graphic xlink:href="OR-33-01-0347-g00.gif"/></fig>
<fig id="f2-or-33-01-0347" position="float">
<label>Figure 2</label>
<caption>
<p>Monitoring of tumor progression in (A) diethylnitrosamine (DEN-model) and (B) hepatitis B virus X protein (HBx-Tg) model by <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) PET/CT. Tumors were first detected in DEN-model mice at 6.5 months after DEN treatment and were longitudinally observed during hepatocarcinogenesis (at 8.5 and 10 months). HBx-Tg model mice were serially imaged after birth from 11 to 20 months. Dotted line, H, Bl and asterisk indicate tumors, heart, bladder and non-specific uptake lesion, respectively.</p></caption>
<graphic xlink:href="OR-33-01-0347-g01.gif"/></fig>
<fig id="f3-or-33-01-0347" position="float">
<label>Figure 3</label>
<caption>
<p>Representative photomicrographs of hematoxylin and eosin-stained tumor in the diethylnitrosamine (DEN) and hepatitis B virus X protein (HBx-Tg) model. A normal arrangement of hepatocytes is observed in the (A) control mouse liver, (B) hepatocelluar adenoma in DEN model and (C) carcinoma in the HBx-Tg model. Note that tumor nodules are either encapsulated (B, arrows) or diffuse (C, asterisk) within the liver tissue. Hepatocellular carcinoma (HCC) induced in the HBx-Tg model showed either (D) poorly differentiated carcinoma with high <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) uptake or (E) well-differentiated carcinoma with low <sup>18</sup>F-FDG uptake.</p></caption>
<graphic xlink:href="OR-33-01-0347-g02.gif"/></fig>
<fig id="f4-or-33-01-0347" position="float">
<label>Figure 4</label>
<caption>
<p>Representative photomicrographs of immunohistochemical staining for hexokinase 2 (HK2) and glucose transporter 1 (Glut1). A higher HK2 expression was observed in high <sup>18</sup>F-FDG uptake tumors compared with the low uptake tumor of <sup>18</sup>F-FDG in the (A) diethylnitrosamine (DEN model) and (B) hepatitis B virus X protein (HBx-Tg model). The levels of Glut1 expression did not differ in the high or low <sup>18</sup>F-fluoro-2-deoxyglucose (<sup>18</sup>F-FDG) uptake tumor tissues in the DEN- or HBx-Tg model mice. DEN_high and low are the high and low uptake of <sup>18</sup>F-FDG in the DEN model, respectively; HBx_high and low are the high and low uptake of <sup>18</sup>F-FDG in HBx-Tg model, respectively.</p></caption>
<graphic xlink:href="OR-33-01-0347-g03.gif"/></fig>
<table-wrap id="tI-or-33-01-0347" position="float">
<label>Table I</label>
<caption>
<p>Summary of HCC models by immunohistochemical analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Models</th>
<th valign="bottom" align="center"><sup>18</sup>F-FDG uptake<xref rid="tfn1-or-33-01-0347" ref-type="table-fn">a</xref></th>
<th valign="bottom" align="center">Tumor type</th>
<th valign="bottom" align="center">Differentiation-grade</th>
<th valign="bottom" align="center">HK2</th>
<th valign="bottom" align="center">Glut1</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">DEN</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">HCA</td>
<td valign="top" align="center">&#x02212;<xref rid="tfn2-or-33-01-0347" ref-type="table-fn">b</xref></td>
<td valign="top" align="center">+++</td>
<td valign="top" align="center">+</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">Not yet cancer status</td>
<td valign="top" align="center">&#x02212;<xref rid="tfn2-or-33-01-0347" ref-type="table-fn">b</xref></td>
<td valign="top" align="center">++</td>
<td valign="top" align="center">+</td></tr>
<tr>
<td valign="top" align="left">HBx-Tg</td>
<td valign="top" align="center">High</td>
<td valign="top" align="center">HCC</td>
<td valign="top" align="center">Poor</td>
<td valign="top" align="center">+++</td>
<td valign="top" align="center">+</td></tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Low</td>
<td valign="top" align="center">HCC</td>
<td valign="top" align="center">Well</td>
<td valign="top" align="center">+</td>
<td valign="top" align="center">+</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-or-33-01-0347">
<label>a</label>
<p>The <sup>18</sup>F-FDG uptake was contingent on PET/CT imaging;</p></fn><fn id="tfn2-or-33-01-0347">
<label>b</label>
<p>differentiation-grade was not classified.</p></fn><fn id="tfn3-or-33-01-0347">
<p>HCA, hepatocellular adenoma; HCC, hepatocellular carcinoma; HK2, hexokinase 2; Glut1, glucose transporter 1.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
