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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2020.12034</article-id>
<article-id pub-id-type="publisher-id">OL-0-0-12034</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Associations of MTA1 expression with CT features, pathology and prognosis of elderly patients with non-small cell lung cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Yang</surname><given-names>Ning</given-names></name>
<xref rid="af1-ol-0-0-12034" ref-type="aff">1</xref>
<xref rid="fn1-ol-0-0-12034" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Chuanming</given-names></name>
<xref rid="af2-ol-0-0-12034" ref-type="aff">2</xref>
<xref rid="fn1-ol-0-0-12034" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Han</surname><given-names>Xiao</given-names></name>
<xref rid="af3-ol-0-0-12034" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Feng</surname><given-names>Zhihua</given-names></name>
<xref rid="af4-ol-0-0-12034" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author"><name><surname>Qiu</surname><given-names>Feng</given-names></name>
<xref rid="af5-ol-0-0-12034" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author"><name><surname>Han</surname><given-names>Junqing</given-names></name>
<xref rid="af1-ol-0-0-12034" ref-type="aff">1</xref>
<xref rid="c1-ol-0-0-12034" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-0-0-12034"><label>1</label>Tumor Research and Therapy Center, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250021, P.R. China</aff>
<aff id="af2-ol-0-0-12034"><label>2</label>Department of Pain Management, Jiading Hospital of Traditional Chinese Medicine, Shanghai 201800, P.R. China</aff>
<aff id="af3-ol-0-0-12034"><label>3</label>Department of Experiment, Tumor Hospital Affiliated to Guangxi Medical University, Nanning, Guangxi 530021, P.R. China</aff>
<aff id="af4-ol-0-0-12034"><label>4</label>Department of Proctology, Jiading Hospital of Traditional Chinese Medicine, Shanghai 201800, P.R. China</aff>
<aff id="af5-ol-0-0-12034"><label>5</label>Department of Pain Management, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, P.R. China</aff>
<author-notes>
<corresp id="c1-ol-0-0-12034"><italic>Correspondence to</italic>: Professor Junqing Han, Tumor Research and Therapy Center, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, 324 Jingwuweiqi Road, Jinan, Shandong 250021, P.R. China, E-mail: <email>feiruo19760812@163.com</email></corresp>
<fn id="fn1-ol-0-0-12034"><label>&#x002A;</label><p>Contributed equally</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>11</month>
<year>2020</year></pub-date>
<pub-date pub-type="epub">
<day>28</day>
<month>08</month>
<year>2020</year></pub-date>
<volume>20</volume>
<issue>5</issue>
<elocation-id>172</elocation-id>
<history>
<date date-type="received"><day>20</day><month>12</month><year>2019</year></date>
<date date-type="accepted"><day>30</day><month>06</month><year>2020</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020, Spandidos Publications</copyright-statement>
<copyright-year>2020</copyright-year>
</permissions>
<abstract>
<p>Associations of metastasis-associated protein 1 (MTA1) expression with computed tomography (CT) features, pathology and prognosis of elderly patients with non-small cell lung cancer (NSCLC), and its clinical significance were explored. A total of 98 elderly patients with NSCLC were selected and underwent CT examination. The expression of MTA1 in carcinoma tissues and para-carcinoma normal tissues was detected via immunohistochemistry, and its associations with CT features, pathology and prognosis were analyzed. The results manifested that the expression of MTA1 in carcinoma tissues was significantly higher than that in para-carcinoma normal tissues, and it was associated with the degree of differentiation, stage and lymph node metastasis (P&#x003C;0.05). Besides, the high expression of MTA1 was also related to the spicule sign, pleural indentation and lymph node metastasis (P&#x003C;0.05) as well as the CT perfusion parameter capillary permeability (PMB) (P&#x003C;0.05), but not to blood volume (BV), blood flow (BF) or time to peak (TTP). Moreover, the patients with high expression of MTA1 had significantly shorter survival time and a remarkably lower 5-year survival rate than those with low expression of MTA1 (P&#x003C;0.05). In conclusion, MTA1 plays a certain role in the occurrence and development of NSCLC in elderly patients and has an association with their prognosis, which can provide references for the treatment and prognosis of NSCLC, with important clinical significance.</p>
</abstract>
<kwd-group>
<kwd>computed tomography</kwd>
<kwd>non-small cell lung cancer in the elderly</kwd>
<kwd>metastasis-associated protein 1</kwd>
<kwd>prognosis</kwd>
</kwd-group></article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is the most common malignant tumor. The morbidity and mortality rates rank first among all malignant tumors, seriously threatening human health (<xref rid="b1-ol-0-0-12034" ref-type="bibr">1</xref>). Lung cancer includes small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), the latter of which is dominant (<xref rid="b2-ol-0-0-12034" ref-type="bibr">2</xref>). The early clinical symptoms of NSCLC are atypical, so the patients are in the middle and advanced stage once diagnosed, with unsatisfactory efficacy and poor prognosis. In recent years, the efficacy of specific gene- or protein-targeted therapies for middle and advanced NSCLC has greatly improved. However, the prognosis of NSCLC is still very poor and the 5-year survival rate has not improved. Therefore, study on the prognostic factors of NSCLC would be helpful for effective judgment of the prognosis and the formulation of individualized treatment plan (<xref rid="b3-ol-0-0-12034" ref-type="bibr">3</xref>). Metastasis is the main cause of death of patients (<xref rid="b4-ol-0-0-12034" ref-type="bibr">4</xref>,<xref rid="b5-ol-0-0-12034" ref-type="bibr">5</xref>). Metastasis-associated protein 1 (MTA1) plays an important role in tumor metastasis and often serves as a potential indicator for malignant potential in clinic (<xref rid="b6-ol-0-0-12034" ref-type="bibr">6</xref>). Some studies have reported that MTA1 protein expression is associated with invasiveness, metastasis and clinical outcome in patients with NSCLC (<xref rid="b7-ol-0-0-12034" ref-type="bibr">7</xref>&#x2013;<xref rid="b9-ol-0-0-12034" ref-type="bibr">9</xref>). Computed tomography (CT) examination is a conventional examination method for NSCLC, which can fully reflect the pathophysiological and molecular biological characteristics of tumors, and it has important value in guiding the diagnosis and therapeutic evaluation (<xref rid="b10-ol-0-0-12034" ref-type="bibr">10</xref>,<xref rid="b11-ol-0-0-12034" ref-type="bibr">11</xref>). However, the relationship between MTA1 protein expression and CT features has not been investigated so far. It was hypothesized that there was some correlation between the expression of MTA1 protein and CT features. Therefore, actively exploring the associations between the imaging features of NSCLC and molecular markers can provide a reliable theoretical basis for targeted therapy of NSCLC.</p>
</sec>
<sec sec-type="subjects|methods">
<title>Patients and methods</title>
<sec>
<title/>
<sec>
<title>General data</title>
<p>A total of 98 elderly patients with NSCLC treated in Shandong Provincial Hospital (Shandong, China) from July 2012 to June 2014 were selected. Inclusion criteria: i) Patients meeting the diagnostic criteria for NSCLC, ii) those undergoing CT examination, and iiii) those without mental disorders and receiving no surgery and chemoradiotherapy. Exclusion criteria: i) Patients with failure of major organs, such as heart, liver and kidney, ii) those with an allergic history of contrast agent, or iii) those who underwent drug therapy or surgical therapy previously (<xref rid="tI-ol-0-0-12034" ref-type="table">Table I</xref>).</p>
<p>The study was approved by the Ethics Committee of Shandong Provincial Hospital. Written informed consents were obtained from the patients and/or guardians.</p>
</sec>
<sec>
<title>CT examination</title>
<p>Before the examination, all patients underwent solid fasting for 6 h, and they were informed of relevant precautions. The patients removed any metal objects, raised both hands to place them on the both sides of the headrest. The dual-source CT machine (Siemens AG) was used for plain scan (tube voltage: 120 kV, rotation time: 0.5 sec, field of view: 414 mm, and slice thickness: 5 mm) from apex of the lung to costophrenic angle of patients under a supine position. Then the patients drank properly, and were injected with 50 ml of iohexol (350 mg/ml) at a rate of 6 ml/s using the automatic high-pressure injector also under the supine position. After injection for 7 sec, the perfusion scan was performed once per second for a total of 31 times under BODY PCT mode (tube current: 110 mAs, matrix: 512&#x00D7;512, collimation: 2&#x00D7;32&#x00D7;1.2 mm, rotation time: 0.28 sec, and tube voltage: 80 kV). Image analysis and processing: The scanning images were transferred to the processing workstation, and the clear perfusion slice with less moving artifact was analyzed and processed by software. Finally, the blood flow (BF), blood volume (BV), permeability surface (PS) and mean transit time (MTT) were calculated.</p>
</sec>
<sec>
<title>Detection of MTA1 expression</title>
<p>The expression of MTA1 in lung tissue specimens was determined using immunohistochemistry. The paraffin-embedded tissues were sliced into 4 <italic>&#x03BC;</italic>m-thick sections using a microtome (Leica Microsystems GmbH), baked at 60&#x00B0;C for 2 h, deparaffinized with xylene and soaked in gradient ethanol and distilled water for 5 min. Thereafter, the sections were added with 50 <italic>&#x03BC;</italic>l of 3&#x0025; hydrogen peroxide solution, and incubated at 20&#x00B0;C for 10 min to block the activity of endogenous peroxidase. After washing with phosphate buffered saline (PBS) 3 times (5 min/time), the sections were incubated with 50 <italic>&#x03BC;</italic>l of primary antibodies MTA1 (1:300; cat. no. ab71153; Abcam) at 4&#x00B0;C overnight, and then incubated again with secondary antibodies (1:500; cat. no. ab7090; Abcam) at 20&#x00B0;C for 10 min, followed by color development using diaminobenzidine (DAB) kit (Beijing ZSGB Biotechnology Co., Ltd.), hematoxylin counterstaining for 2 min and sealing with neutral balsam.</p>
</sec>
<sec>
<title>Evaluation of indexes</title>
<p>Two senior radiologists conducted the imaging analysis. CT perfusion parameters included BV, BF, capillary permeability (PMB) and time to peak (TTP).</p>
</sec>
<sec>
<title>Expression of MTA1 in lung tissues determined using immu-nohistochemistry</title>
<p>Ten fields of view (magnification, &#x00D7;200) were randomly selected in each section to detect the percentage of positive cells (brown yellow cells), and the percentage point (PP) was given: i) 0 point: no positive cells; ii) 1 point: percentage of positive cells &#x003C;5&#x0025;; iii) 2 points: &#x003E;5&#x0025; to &#x2264;20&#x0025; positive cells; iv) 3 points: percentage of positive cells &#x003E;20&#x0025;. Besides, the staining intensity (SI) was also scored: i) 0 point: no staining; ii) 1 point: light yellow; iii) 2 points: brown yellow; iv) 3 points: dark brown. Finally, the immunoreactivity score (IRS) was calculated: IRS = PPxSI. IRS &#x003E;4 points indicates high expression, while IRS &#x2264;4 points indicates low expression (<xref rid="b12-ol-0-0-12034" ref-type="bibr">12</xref>).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical Product and Service Solutions (SPSS) 19.0 software (SPSS Inc., Chicago, IL, USA) was used for data processing. Measurement data were expressed as mean &#x00B1; standard deviation (mean &#x00B1; SD), and t-test was performed. Enumeration data were expressed as case (n) or percentage (&#x0025;), and &#x03C7;<sup>2</sup> test was performed. P&#x003C;0.05 indicates a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Expression of MTA1 in carcinoma tissues and para-carcinoma normal tissues</title>
<p>As shown by immunohistochemistry in <xref rid="f1-ol-0-0-12034" ref-type="fig">Fig. 1</xref>, the positive expression rate of MTA1 in 98 patients was 60.20&#x0025; (59/98), and MTA1 was mainly expressed in the nucleus of carcinoma tissues. The positive expression of MTA1 was higher in poorly differentiated carcinoma than in moderately differentiated and well differentiated carcinoma, and the MTA1 expression was very low in para-carcinoma normal tissues.</p>
</sec>
<sec>
<title>Association between MTA1 and clinicopathological features of patients</title>
<p>The expression of MTA1 was associated with the degree of differentiation, stage and lymph node metastasis (P&#x003C;0.05), but not with the age, sex or tissue type (P&#x003E;0.05) (<xref rid="tII-ol-0-0-12034" ref-type="table">Table II</xref>).</p>
</sec>
<sec>
<title>Association between CT image features and MTA1 expression</title>
<p>The expression of MTA1 was related to the spicule sign, pleural indentation sign and lymph node metastasis sign (P&#x003C;0.05) (<xref rid="tIII-ol-0-0-12034" ref-type="table">Table III</xref>).</p>
</sec>
<sec>
<title>Association between CT perfusion parameters and MTA1 expression</title>
<p>There were no obvious differences in BV, BF and TTP between MTA1 high expression group and MTA1 low expression group. PMB was higher in MTA1 high expression group than that in MTA1 low expression group (P&#x003C;0.05) (<xref rid="tIV-ol-0-0-12034" ref-type="table">Table IV</xref>).</p>
</sec>
<sec>
<title>Survival status of patients with different MTA1 expression</title>
<p>Patients with low expression of MTA1 had significantly longer survival time and a remarkably higher 5-year survival rate than those with high expression of MTA1 (P&#x003C;0.05) (<xref rid="tV-ol-0-0-12034" ref-type="table">Table V</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>NSCLC is a malignant tumor originating from the bronchial mucous epithelium, its pathogenesis is not fully clear. It is generally believed that smoking, occupational carcinogens, air pollution, ionizing radiation, diet and nutrition, hereditary and genetic changes are the major precipitating factors, under the influence of which the carcinogens will cause damage to lung tissues. Due to the low immunity of the elderly, it is difficult for the self-defense and scavenging system of the body&#x0027;s immune mechanism to completely eliminate these carcinogens, so that the inflammatory response is induced, and abnormal changes are caused in the microenvironment of lungs, ultimately leading to the formation of malignant tumors (<xref rid="b13-ol-0-0-12034" ref-type="bibr">13</xref>&#x2013;<xref rid="b15-ol-0-0-12034" ref-type="bibr">15</xref>). Due to atypical early symptoms, NSCLC is usually diagnosed in the middle and advanced stage, during which the tumor is prone to metastasis and patients have poor prognosis (<xref rid="b16-ol-0-0-12034" ref-type="bibr">16</xref>).</p>
<p>MTA1 is a recently discovered protein associated with tumor metastasis, and it belongs to the tumor metastasis-associated protein family (<xref rid="b17-ol-0-0-12034" ref-type="bibr">17</xref>). Related studies have confirmed that the expression level of MTA1 is extremely low in normal tissues but obviously high in malignant tumor tissues, and it has a close association with tumor metastasis (<xref rid="b18-ol-0-0-12034" ref-type="bibr">18</xref>). In this study, the positive expression rate of MTA1 in 98 patients was 60.20&#x0025; (59/98), and MTA1 was mainly expressed in the nucleus of carcinoma tissues. The positive expression of MTA1 was higher in poorly differentiated carcinoma than that in moderately differentiated and well differentiated carcinoma, and the MTA1 expression was very low in para-carcinoma normal tissues. This is because MTA1 can be detected in the nucleus of cancer tissues due to its high hydrophilicity and no transmembrane feature. In this study, the expression of MTA1 was associated with the degree of differentiation, stage and lymph node metastasis (P&#x003C;0.05), but not with age, gender or tissue type (P&#x003E;0.05). The reason is that MTA1 can inhibit ER gene transcription, thereby promoting down-regulation of ER expression, and facilitating the proliferation, invasion and metastasis of tumor cells, which make the prognosis of patients poorer and shorten their survival time.</p>
<p>CT examination has important value in the clinical diagnosis and treatment of NSCLC, characterized by clear images and short scanning time, and it is not influenced by surrounding tissues and organs (<xref rid="b19-ol-0-0-12034" ref-type="bibr">19</xref>). CT examination can be used to accurately observe the mass of NSCLC and to assess whether there is enlargement of lymph nodes and metastasis (<xref rid="b20-ol-0-0-12034" ref-type="bibr">20</xref>). With the development of imaging genomics, the NSCLC tissues can be quantitatively analyzed, so that the images can be converted into researchable data to reveal the intrinsic relation between tumor imaging features and molecular markers, which is of positive significance in predicting related gene mutations, and can offer strong support to targeted therapy of NSCLC (<xref rid="b21-ol-0-0-12034" ref-type="bibr">21</xref>). In this study, there was overexpression of MTA1 in tumor tissues in elderly NSCLC patients with spicule sign, pleural indentation sign and lymph node metastasis sign in CT images, indicating that patients with high expression of MTA1 are more prone to spicule sign, pleural indentation sign and lymph node metastasis sign. CT perfusion imaging technique can continuously scan the lesion area after high-pressure intravenous injection of contrast agent, thereby reflecting the hemodynamics of tumor tissues (<xref rid="b22-ol-0-0-12034" ref-type="bibr">22</xref>,<xref rid="b23-ol-0-0-12034" ref-type="bibr">23</xref>). In this study, there were no obvious differences in BV, BF and TTP between high expression MTA1 group and low expression MTA1 group. PMB was higher in high expression MTA1 group than that in low expression MTA1 group (P&#x003C;0.05). The possible reason is that the overexpression of MTA1 will regulate the cell transcription level and affects tumor angiogenesis, but such a pro-angiogenic effect is not significant enough to alter the CT perfusion parameters BV, BF and TTP. However, in the case of MTA1 overexpression, the tumor is more prone to hematogenous metastasis, and PMB is obviously increased. As far as we know, MAT1 can only be detected in tissue, but not in the blood. In clinic, the lung tissues of patients were not always acquired for some reasons while CT examination was easy to obtain. The results of this study provide more evidence for targeted therapy of elderly NSCLC.</p>
<p>In conclusion, the expression of MTA1 has close associations with the CT features, pathology and prognosis of elderly NSCLC patients, which has positive guiding significance for targeted therapy of elderly with NSCLC.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding</title>
<p>No funding was received.</p>
</sec>
<sec>
<title>Availability of data and materials</title>
<p>All data generated or analyzed during this study are included in this published article.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>NY, CL and JH designed the study and performed the experiments. NY, CL and XH acquired the data. ZF, XH and FQ analyzed the data. NY, CL and JH wrote the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study was approved by the Ethics Committee of Shandong Provincial Hospital (Shandong, China). Written informed consents were obtained from the patients and/or guardians.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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<floats-group>
<fig id="f1-ol-0-0-12034" position="float">
<label>Figure 1.</label>
<caption><p>Representative images of histology. (A) Negative expression of MTA1 protein in para-carcinoma normal tissues (magnification, &#x00D7;200). (B) High expression of MTA1 protein in lung squamous carcinoma (magnification, &#x00D7;400). (C) Low expression of MTA1 protein in lung squamous carcinoma (magnification, &#x00D7;400). (D) Negative expression of MTA1 protein in lung squamous carcinoma (magnification, &#x00D7;400). (E) High expression of MTA1 protein in lung adenocarcinoma (magnification, &#x00D7;400). (F) Low expression of MTA1 protein in lung adenocarcinoma (magnification, &#x00D7;400). (G) Negative expression of MTA1 protein in lung adenocarcinoma (magnification, &#x00D7;400).</p></caption>
<graphic xlink:href="ol-20-05-12034-g00.tif"/>
</fig>
<table-wrap id="tI-ol-0-0-12034" position="float">
<label>Table I.</label>
<caption><p>General data of patients.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">Patients</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total no.</td>
<td align="center" valign="top">98</td>
</tr>
<tr>
<td align="left" valign="top">Mean age (years)</td>
<td align="center" valign="top">68.74&#x00B1;5.86</td>
</tr>
<tr>
<td align="left" valign="top">Sex (male/female)</td>
<td align="center" valign="top">69/29</td>
</tr>
<tr>
<td align="left" valign="top">Tissue type [n (&#x0025;)]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Squamous carcinoma</td>
<td align="center" valign="top">53 (54.08)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Adenocarcinoma</td>
<td align="center" valign="top">45 (45.92)</td>
</tr>
<tr>
<td align="left" valign="top">Clinical stage [n (&#x0025;)]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I&#x2013;II</td>
<td align="center" valign="top">34 (34.69)</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III&#x2013;IV</td>
<td align="center" valign="top">64 (65.31)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-ol-0-0-12034" position="float">
<label>Table II.</label>
<caption><p>Association between MTA1 and clinicopathological features of patients [n (&#x0025;)].</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Item</th>
<th align="center" valign="bottom">No.</th>
<th align="center" valign="bottom">High expression MTA1</th>
<th align="center" valign="bottom">Low expression MTA1</th>
<th align="center" valign="bottom">&#x03C7;2</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, years</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003C;75</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">33 (60.00)</td>
<td align="center" valign="top">22 (40.00)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">0.983</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2265;75</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">25 (58.14)</td>
<td align="center" valign="top">18 (41.86)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">41 (59.42)</td>
<td align="center" valign="top">28 (40.58)</td>
<td align="center" valign="top">0.023</td>
<td align="center" valign="top">0.879</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">17 (58.62)</td>
<td align="center" valign="top">12 (41.38)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tissue type</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Squamous carcinoma</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">31 (58.49)</td>
<td align="center" valign="top">22 (41.51)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">0.954</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Adenocarcinoma</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">27 (60.00)</td>
<td align="center" valign="top">18 (40.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Degree of differentiation</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Well differentiated</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">6 (26.09)</td>
<td align="center" valign="top">17 (73.91)</td>
<td align="center" valign="top">24.262</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Moderately differentiated</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">14 (46.67)</td>
<td align="center" valign="top">16 (53.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Poorly differentiated</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">38 (84.44)</td>
<td align="center" valign="top">7 (15.56)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastasis</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x002B;</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">51 (80.95)</td>
<td align="center" valign="top">12 (19.05)</td>
<td align="center" valign="top">32.127</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2212;</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">7 (20.00)</td>
<td align="center" valign="top">28 (80.00)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Clinical stage</td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;I&#x2013;II</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">9 (26.47)</td>
<td align="center" valign="top">25 (73.53)</td>
<td align="center" valign="top">21.037</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;III&#x2013;IV</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">49 (76.56)</td>
<td align="center" valign="top">15 (23.44)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tIII-ol-0-0-12034" position="float">
<label>Table III.</label>
<caption><p>MTA1 expression in patients with different CT image features [n (&#x0025;)].</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">CT image features</th>
<th align="center" valign="bottom">No.</th>
<th align="center" valign="bottom">High expression MTA1</th>
<th align="center" valign="bottom">Low expression MTA1</th>
<th align="center" valign="bottom">&#x03C7;2</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Lobulation sign</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">51 (58.62)</td>
<td align="center" valign="top">36 (41.38)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">0.994</td>
</tr>
<tr>
<td align="left" valign="top">No lobulation sign</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">7 (63.64)</td>
<td align="center" valign="top">4 (36.36)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Spicule sign</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">50 (83.33)</td>
<td align="center" valign="top">10 (16.67)</td>
<td align="center" valign="top">34.824</td>
<td align="center" valign="top">0.983</td>
</tr>
<tr>
<td align="left" valign="top">No spicule sign</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">8 (21.05)</td>
<td align="center" valign="top">30 (78.95)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pleural indentation sign</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">52 (85.25)</td>
<td align="center" valign="top">9 (14.75)</td>
<td align="center" valign="top">42.617</td>
<td align="center" valign="top">0.983</td>
</tr>
<tr>
<td align="left" valign="top">No pleural indentation sign</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">6 (16.22)</td>
<td align="center" valign="top">31 (83.78)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node metastasis sign</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">51 (80.95)</td>
<td align="center" valign="top">12 (19.05)</td>
<td align="center" valign="top">21.037</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">No lymph node metastasis sign</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">7 (20.00)</td>
<td align="center" valign="top">28 (80.00)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-0-0-12034"><p>CT, computed tomography; MTA1, metastasis-associated protein 1.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-0-0-12034" position="float">
<label>Table IV.</label>
<caption><p>Comparison of CT perfusion parameters in patients with different MTA1 expression.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Groups</th>
<th align="center" valign="bottom">No.</th>
<th align="center" valign="bottom">BF (ml&#x2022;min-1&#x2022;100g-1)</th>
<th align="center" valign="bottom">BV (ml&#x2022;100g-1)</th>
<th align="center" valign="bottom">TTP (sec)</th>
<th align="center" valign="bottom">PMB (ml&#x2022;min-1&#x2022;100g-1)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Low expression MTA1</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">27.84&#x00B1;3.05</td>
<td align="center" valign="top">6.38&#x00B1;1.72</td>
<td align="center" valign="top">24.78&#x00B1;3.14</td>
<td align="center" valign="top">17.52&#x00B1;3.65</td>
</tr>
<tr>
<td align="left" valign="top">High expression MTA1</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">28.18&#x00B1;3.52</td>
<td align="center" valign="top">6.59&#x00B1;1.86</td>
<td align="center" valign="top">25.53&#x00B1;3.02</td>
<td align="center" valign="top">32.48&#x00B1;3.15</td>
</tr>
<tr>
<td align="left" valign="top">t-test</td>
<td/>
<td align="center" valign="top">&#x00A0;&#x00A0;0.41</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.28</td>
<td align="center" valign="top">&#x00A0;&#x00A0;0.86</td>
<td align="center" valign="top">33.512</td>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td/>
<td align="center" valign="top">&#x003E;0.05</td>
<td align="center" valign="top">&#x003E;0.05</td>
<td align="center" valign="top">&#x003E;0.05</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-0-0-12034"><p>CT, computed tomography; MTA1, metastasis-associated protein 1; BF, blood flow; BV, blood volume; TTP, time to peak; PMB permeability.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-ol-0-0-12034" position="float">
<label>Table V.</label>
<caption><p>Comparison of 5-year follow-up conditions between the groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Groups</th>
<th align="center" valign="bottom">No.</th>
<th align="center" valign="bottom">5-year survival [n (&#x0025;)]</th>
<th align="center" valign="bottom">Mean survival time (months)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Low expression MTA1</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">26 (65.00)</td>
<td align="center" valign="top">59.85&#x00B1;7.38</td>
</tr>
<tr>
<td align="left" valign="top">High expression MTA1</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">24 (41.38)</td>
<td align="center" valign="top">44.52&#x00B1;6.63</td>
</tr>
<tr>
<td align="left" valign="top">&#x03C7;<sup>2</sup>/t</td>
<td/>
<td align="center" valign="top">4.383</td>
<td align="center" valign="top">9.614</td>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td/>
<td align="center" valign="top">0.036</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-0-0-12034"><p>MTA1, metastasis-associated protein 1.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
