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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.895401</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic Significance of PD-L1 Expression and Standardized Uptake Values in the Primary Lesions of Stage IV Adenocarcinoma Lung Cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tien Cong</surname> <given-names>Bui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cam Phuong</surname> <given-names>Pham</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Thai</surname> <given-names>Pham-Van</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Thuong</surname> <given-names>Vu-Le</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Quang Hung</surname> <given-names>Nguyen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hang</surname> <given-names>Dong-Thi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Anh Tuan</surname> <given-names>Hoang</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Minh Khuy</surname> <given-names>Doan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tuyen</surname> <given-names>Pham-Van</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Minh Duc</surname> <given-names>Nguyen</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1067795/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Nuclear Medicine, Ha Noi Medical University</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff2"><sup>2</sup><institution>Nuclear Medicine and Oncology Center, Bach Mai Hospital</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Examination, Bach Mai Hospital</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff4"><sup>4</sup><institution>Pathology and Cytology Center, Bach Mai Hospital</institution>, <addr-line>Hanoi</addr-line>, <country>Vietnam</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Radiology, Pham Ngoc Thach University of Medicine</institution>, <addr-line>Ho Chi Minh City</addr-line>, <country>Vietnam</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Domenico Albano, University of Brescia, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Francesco Dondi, Universit&#x000E0; degli Studi di Brescia, Italy; Sang Van Nguyen, Thai Nguyen Pharmacy and Medical University, Vietnam</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Pham-Van Thai <email>phamvanthai&#x00040;hmu.edu.vn</email></corresp>
<corresp id="c002">Nguyen Minh Duc <email>bsnguyenminhduc&#x00040;pnt.edu.vn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Nuclear Medicine, a section of the journal Frontiers in Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>895401</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Tien Cong, Cam Phuong, Thai, Thuong, Quang Hung, Hang, Anh Tuan, Minh Khuy, Tuyen and Minh Duc.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tien Cong, Cam Phuong, Thai, Thuong, Quang Hung, Hang, Anh Tuan, Minh Khuy, Tuyen and Minh Duc</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>Background</title>
<p>This study evaluated the prognostic ability of <sup>18</sup>F-fluorodeoxyglucose (<sup>18</sup>F-FDG) positron emission tomography (PET)/computed tomography (CT) in patients with stage IV adenocarcinoma lung cancer to detect protein death-ligand 1 (PD-L1) expression levels.</p>
</sec>
<sec>
<title>Methods</title>
<p>In total, 86 patients with stage IV adenocarcinoma lung cancer underwent <sup>18</sup>F-FDG PET/CT imaging and PD-L1 expression evaluation before treatment from February 2019 to November 2020 at Bach Mai Hospital, Hanoi, Vietnam. The assessed patient characteristics in this study included sex, age, smoking status, epidermal growth factor receptor (<italic>EGFR</italic>) mutation, PD-L1 expression level, survival status, tumor, node, and metastasis (TNM) stage, and metastasis locations.</p>
</sec>
<sec>
<title>Results</title>
<p>The average age was 62.23 &#x000B1; 9.51 years, and men and women represented 67.4% and 32.6% of the population, respectively. The <italic>EGFR</italic> mutation rate was 36%. PD-L1 expression was negative (detected in &#x0003C;1% of the tumor) in 40.7% of cases and positive in 59.3% of cases (detected in 1&#x02013;49% of the tumor in 32.6%; detected in &#x02265;50% of the tumor in 26.7%). The mean maximum standardized uptake value (SUV<sub>max</sub>) was 11.09 &#x000B1; 3.94. SUV<sub>max</sub> was significantly higher in PD-L1&#x02013;positive tumors than in PD-L1&#x02013;negative tumors (12.24 &#x000B1; 4.01 and 9.43 &#x000B1; 3.22, respectively; <italic>p</italic> = 0.001). Receiver operating characteristic curve analysis revealed an area under the curve of SUVmax was 0.681 (95% confidence interval 0.570&#x02013;0.793, <italic>p</italic> = 0.004). Compared with PD-L1&#x02013;negative cases, SUV<sub>max</sub> was significantly different in all PD-L1&#x02013;positive cases (<italic>p</italic> = 0.001), weakly PD-L1&#x02013;positive cases (1&#x02013;49%, <italic>p</italic> = 0.005), and strongly PD-L1&#x02013;positive cases (&#x02265;50%, <italic>p</italic> = 0.003). PD-L1 expression levels were significantly associated with SUV<sub>max</sub> (<italic>p</italic> = 0.001), tumor size (<italic>p</italic> = 0.022), and <italic>EGFR</italic> mutation status (<italic>p</italic> = 0.045).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>SUV<sub>max</sub> in the primary lesions was able to predict PD-L1 expression and may play a role in predicting PD-L1 immunotherapy efficacy in patients with stage IV lung adenocarcinoma.</p>
</sec></abstract>
<kwd-group>
<kwd>lung cancer</kwd>
<kwd>adenocarcinoma</kwd>
<kwd>stage IV</kwd>
<kwd>FDG PET/CT</kwd>
<kwd>PD-L1</kwd>
<kwd>prediction</kwd>
<kwd>SUV<sub>max</sub></kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="30"/>
<page-count count="8"/>
<word-count count="4540"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Lung cancer is associated with high morbidity and mortality rates. According to GLOBOCAN 2020, lung cancer is the second-most frequent cancer type worldwide (11.4%), accounting for over 2.3 million new cases each year. Lung cancer is estimated to be the leading cause of cancer-related death in both sexes (<xref ref-type="bibr" rid="B1">1</xref>) and is the leading cause of cancer-related death in most developed countries (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Lung cancer is highly aggressive, rapidly developing, and has poor prognosis, with a 5-year survival rate of only 15% for both sexes (<xref ref-type="bibr" rid="B2">2</xref>). However, the majority of individuals are diagnosed at stage III, and late-stage diagnosis (stage IV) is particularly common in developing countries. In recent years, immunotherapy have become increasingly popular treatment options for late stage lung cancer. Testing for programmed death-ligand 1 (PD-L1) expression level should be routinely performed routinely to choose the most suitable treatment approach for patients with non-small cell lung cancer (NSCLC) (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Positron emission tomography (PET)/computed tomography (CT) is a nuclear medicine diagnostic tool that enables early detection, provides comprehensive information regarding disease stage, and has prognostic value in patients with NSCLC. Monoclonal antibodies have been developed that target PD-L1, a critical immune system checkpoint. The binding of programmed cell death protein 1 (PD-1) with PD-L1 induces T-lymphocyte depletion or death. The inhibition of this signaling pathway has been shown to increase T cell activity, boost antitumor immunity, and prevent tumor cells from evading host immune responses, representing a viable technique for successful tumor immunotherapy (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Numerous studies have been conducted worldwide to ascertain the relationship between the maximum standard uptake value (SUV<sub>max</sub>) and PD-L1 expression. Our published research has not established any relationships between PD-L1 expression levels and SUV<sub>max</sub> in patients with NSCLC. PD-L1 expression is higher in solid tumors, such as lung cancer, breast cancer, colorectal cancer, and liver cancer, than in other tumor types (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Limited data is available for late-stage NSCLC, especially stage IV. Additionally, little research has been conducted in Vietnam examining PD-L1 expression in NSCLC patients, and no existing studies in Vietnam have demonstrated a relationship between PET/CT values and PD-L1 expression levels. Therefore, this study evaluated the prognostic significance of <sup>18</sup>F-fluorodeoxyglucose (<sup>18</sup>F-FDG) PET/CT values to predict different PD-L1 expression levels in patients with stage IV adenocarcinoma lung cancer.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<p>This cross-sectional study was conducted in patients with stage IV adenocarcinoma lung cancer treated at the Nuclear Medicine and Oncology Center and Pathology and Cytology Center, Bach Mai Hospital, from February 2019 to November 2020.</p>
<p>This study was approved by the Ethics Committee of Hanoi Medical University (accession No. NCS02/HMU-IRB), and written informed consent was obtained from all included patients. We included all patients with stage IV NSCLC with an adenocarcinoma histologic subtype treated at our hospital during the study period. Before treatment, patients underwent <sup>18</sup>F-FDG PET/CT and were tested for PD-L1 expression and <italic>EGFR</italic> mutations. The normal functions of the liver, kidney, and bone marrow were recorded. All patients who agreed to participate in this study provided a complete medical record for study use. Exclusion criteria included lung cancer types and stages other than stage IV adenocarcinoma, no histologic sample from the primary tumor, or lack of <italic>EGFR</italic> mutation or PD-L1 testing. Patients whose primary tumors were not defined on <sup>18</sup>F-FDG PET/CT were also excluded.</p>
<p>The patient characteristics assessed in this study included sex, age, smoking status, <italic>EGFR</italic> mutation, PD-L1 expression level, CEA level, Cyrfra 21-1 level, survival status, tumor, node, and metastasis (TNM) stage, and metastasis locations. Patients were asked to fast for 4 h prior to intravenous administration of 0.15 mCi/kg bodyweight <sup>18</sup>F-FDG. PET testing was performed 45 min after <sup>18</sup>F-FDG administration. <sup>18</sup>F-FDG PET/CT was performed using an ECAT ACCEL (Siemens). Image slices were obtained and analyzed by Syngo Via software from the skull to midthigh vertex. The following variables were assessed using the PET/CT results: primary tumor size, TNM stage, and tumor characteristics. A region of interest (ROI) was manually placed on the lung lesion detected in PET/CT images, and SUV<sub>max</sub> was obtained. <xref ref-type="fig" rid="F1">Figure 1</xref> shows one representative patient in our study with TNM staging according to PET/CT.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Representative <sup>18</sup>F-FDG PET/CT images: <bold>(A)</bold> PET image. <bold>(B,C)</bold> Pleural tumor invasion was detected in the upper left lung with SUV<sub>max</sub> or 10.17 (red arrow). <bold>(D)</bold> Mediastinal node metastasis (green arrow). <bold>(E)</bold> Brain metastasis (white arrow).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-895401-g0001.tif"/>
</fig>
<p>PD-L1 testing was performed at our institution by an expert pathologist. Samples were obtained from the primary tumor.</p>
<sec>
<title>PD-L1 Expression</title>
<p>We followed the instructions provided in the &#x0201C;PD-L1 Immunohistochemistry Testing in Lung Cancer&#x0201D; manual distributed by the International Association for the Study of Lung Cancer (IASLC). Briefly, pathologists counted PD-L1&#x02013;positive tumor cells, defined as complete circumferential or partial cell membrane staining. Cytoplasmic staining and tumor-associated immune cells, such as macrophages, were excluded from scoring. The tumor proportion score (TPS) was calculated as follows:</p>
<p>TPS (%) = (PD-L1&#x02013;positive tumor cells / Total number of tumor cells) &#x000D7; 100. (<ext-link ext-link-type="uri" xlink:href="https://www.accessdata.fda.gov/cdrh_docs/pdf16/p160046c.pdf">https://www.accessdata.fda.gov/cdrh_docs/pdf16/p160046c.pdf</ext-link>).</p>
<p>The TPS was used to categorize PD-L1 expression status as follows: &#x0003C;1% (negative staining), 1%&#x02212;49% (weakly positive staining), and &#x02265;50% (highly positive staining). All tumors with TPS &#x02265;1% were considered PD-L1&#x02013;positive. <xref ref-type="fig" rid="F2">Figure 2</xref> shows representative images of the three PD-L1 categories.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Identification of PD-L1&#x02013;positive tumor cells: <bold>(A)</bold> Negative staining (TPS &#x0003C; 1%). <bold>(B)</bold> Weakly positive staining (TPS 1&#x02013;49%). <bold>(C)</bold> Highly positive staining (TPS &#x02265; 50%). PD-L1, programmed death-ligand 1; TPS, tumor proportion score.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-895401-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistical analyses were performed using SPSS, version 20.0 (SPSS Inc., Chicago, IL, USA). Data are presented as the number and frequency or the mean &#x000B1; standard deviation (SD). The association between two continuous variables was analyzed by the Mann&#x02013;Whitney U test or <italic>t</italic>-test. The association between two categorical variables was evaluated by the Chi-square test. Significance was established at <italic>p</italic> &#x0003C; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient Population</title>
<p>The general characteristics of the study population are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The average age was 62.23 &#x000B1; 9.51 years, and 64% of patients were younger than 65 years. Men represented 67.4% of the study population. Smoking was reported by 44.2% of patients. <italic>EGFR</italic> mutations were detected in 36% of the study population. PD-L1 expression was negative in 40.7% of cases and positive in 59.3% of cases, including 32.6% with weak PD-L1 expression (1&#x02013;49% of cells) and 26.7% with strong PD-L1 expression (&#x02265;50% of cells). The mean SUV<sub>max</sub> was 11.09 &#x000B1; 3.94. Other characteristics are summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>General patient characteristics (<italic>n</italic> = 86).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" colspan="2"><bold>Characteristics</bold></th>
<th valign="top" align="left"><bold>n</bold></th>
<th valign="top" align="center"><bold>Percentage (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">67.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">32.6</td>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="left">&#x0003C;65</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">64.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;65</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">36.0</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">44.2</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">55.8</td>
</tr>
<tr>
<td valign="top" align="left"><italic>EGFR</italic> mutation</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">64.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">36.0</td>
</tr>
<tr>
<td valign="top" align="left">PD-L1 expression level</td>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">40.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">1&#x02212;49%</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">32.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02265;50%</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">26.7</td>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub></td>
<td valign="top" align="left">Mean &#x000B1; SD</td>
<td valign="top" align="center">11.09 &#x000B1; 3.94</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Survival</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">90.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">9.3</td>
</tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">10.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">10.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">33.7</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">45.3</td>
</tr>
<tr>
<td valign="top" align="left">N stage</td>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5.8</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">3.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">N2</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">38.4</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">N3</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">52.3</td>
</tr>
<tr>
<td valign="top" align="left">Pleural metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">39.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">60.5</td>
</tr>
<tr>
<td valign="top" align="left">Lymph metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">18.6</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">81.4</td>
</tr>
<tr>
<td valign="top" align="left">Brain metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">8.1</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">91.9</td>
</tr>
<tr>
<td valign="top" align="left">Liver metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">10.5</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">89.5</td>
</tr>
<tr>
<td valign="top" align="left">Adrenal metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">8.1</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">79</td>
<td valign="top" align="center">91.9</td>
</tr>
<tr>
<td valign="top" align="left">Bone metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">50.0</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">50.0</td>
</tr>
<tr>
<td valign="top" align="left">Other lung metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">45.3</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">54.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>EGFR, epidermal growth factor receptor; PD-L1, programmed death-ligand 1; SUV<sub>max</sub>, maximum standard uptake value; T, tumor; N, node; SD, standard deviation</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The expression of PD-L1 was evaluated in 86 tumor samples by immunohistochemical analysis. A positive association was identified between SUV<sub>max</sub> from <sup>18</sup>F-FDG PET/CT imaging and PD-L1 expression. SUV<sub>max</sub> was significantly higher in PD-L1&#x02013;positive tumors than in PD-L1&#x02013;negative tumors (12.24 &#x000B1; 4.01 vs. 9.43 &#x000B1; 3.22, respectively; <italic>p</italic> = 0.001). The ability of SUV<sub>max</sub> to predict PD-L1 expression was determined (<xref ref-type="fig" rid="F3">Figure 3</xref>) by performing receiver operating characteristic curve analysis, which showed revealed an area under the curve (AUC) of 0.681 (95% confidence interval [95% CI] = 0.570&#x02013;0.793, <italic>p</italic> = 0.004).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>The ability of SUV<sub>max</sub> to predict PD-L1 expression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-895401-g0003.tif"/>
</fig>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the relationship between SUV<sub>max</sub> and PD-L1 expression. Significance differences were identified between SUV<sub>max</sub> in PD-L1&#x02013;negative and SUV<sub>max</sub> for all PD-L1&#x02013;positive cases (<italic>p</italic> = 0.001), weakly PD-L1&#x02013;positive cases (1&#x02013;49%, <italic>p</italic> = 0.005), and strongly PD-L1&#x02013;positive cases (&#x02265;50%, <italic>p</italic> = 0.003). These relationships are displayed graphically in <xref ref-type="fig" rid="F4">Figure 4</xref>.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The association between SUV<sub>max</sub> and PD-L1 expression.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>n</bold></th>
<th valign="top" align="center"><bold>Mean &#x000B1;SD</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1&#x02013;negative</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">9.43 &#x000B1; 3.22</td>
<td valign="top" align="center"><bold>0.005 (<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 positive (1&#x02013;49%)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">12.18 &#x000B1; 4.23</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 negative</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">9.43 &#x000B1; 3.22</td>
<td valign="top" align="center"><bold>0.003 (<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 positive (&#x02265;50%)</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">12.30 &#x000B1; 3.81</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 positive (1%&#x02212;49%)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">12.18 &#x000B1; 4.23</td>
<td valign="top" align="center">0.913</td>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 positive (&#x02265;50%)</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">12.30 &#x000B1; 3.81</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 negative</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">9.43 &#x000B1; 3.22</td>
<td valign="top" align="center"><bold>0.001 (<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">SUV<sub>max</sub> in PD-L1 positive (total)</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">12.24 &#x000B1; 4.01</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1">
<p><italic>(<sup>&#x0002A;</sup>) Significant according to t-test</italic>.</p></fn> 
<p><italic>SUV<sub>max</sub>, maximum standard uptake value; PD-L1, programmed death-ligand 1; SD, standard deviation</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>The relationships between SUV<sub>max</sub> and PD-L1 expression.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-895401-g0004.tif"/>
</fig>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows all the associations between patient characteristics and PD-L1 expression status. PD-L1 expression was significantly associated with SUV<sub>max</sub> (<italic>p</italic> = 0.001), tumor size (<italic>p</italic> = 0.022), and <italic>EGFR</italic> mutation status. However, we found no associations with age, sex, carcinoembryonic antigen (CEA) level, cytokeratin 19 fragment (CYFRA 21-1) level, smoking, survival status, T stage, N stage, or any metastasis location (pleural, lymph, brain, liver, adrenal, bone, or other lung).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Comparisons between patient characteristics and PD-L1 expression.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left" colspan="2"><bold>Characteristics</bold></th>
<th valign="top" align="left"><bold>PD-L1&#x02013;Positive</bold></th>
<th valign="top" align="center"><bold>PD-L1&#x02013;Negative</bold></th>
<th valign="top" align="center"><bold>p-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Age, years (mean &#x000B1; SD)</td>
<td valign="top" align="left">61.67 &#x000B1; 9.42</td>
<td valign="top" align="center">63.06 &#x000B1; 9.73</td>
<td valign="top" align="center">0.509</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CEA level</td>
<td valign="top" align="left">60.94 &#x000B1; 108.23</td>
<td valign="top" align="center">88.40 &#x000B1; 209.04</td>
<td valign="top" align="center">0.415</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CYRFRA 21-1 level</td>
<td valign="top" align="left">10.38 &#x000B1; 14.82</td>
<td valign="top" align="center">9.95 &#x000B1; 12.43</td>
<td valign="top" align="center">0.898</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Size of tumor</td>
<td valign="top" align="left">4.98 &#x000B1; 2.26</td>
<td valign="top" align="center">3.91 &#x000B1; 1.77</td>
<td valign="top" align="center"><bold>0.022 (<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">SUV<sub>max</sub></td>
<td valign="top" align="left">12.24 &#x000B1; 4.01</td>
<td valign="top" align="center">9,43 &#x000B1; 3.29</td>
<td valign="top" align="center"><bold>0.001 (<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">0.777</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">12</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="left">&#x0003C;65</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.527</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x0003E;65</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">14</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.263</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">17</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Survival</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.847</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">32</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">T stage</td>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.550</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">5</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">11</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">14</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">N stage</td>
<td valign="top" align="left">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.286</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">1</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">2</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">16</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">3</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">18</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><italic>EGFR</italic> mutation</td>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center"><bold>0.045 (<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref>)</bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Positive</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">17</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pleural metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.332</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">19</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Lymph metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.157</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">31</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Brain metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.496</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">33</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Liver metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.635</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">32</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Adrenal metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">31</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Bone metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.826</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">18</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Other lung metastasis</td>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.426</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">No</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">20</td>
<td/>
</tr>
</tbody>
</table><table-wrap-foot> 
<fn id="TN2">
<p><italic>(<sup>&#x0002A;</sup>) Significance determined by t-test</italic>.</p></fn>
<fn id="TN3">
<p><italic>(<sup>&#x0002A;&#x0002A;</sup>) Significance determined by Chi-square test</italic>.</p></fn>
<p><italic>PD-L1, programmed death-ligand 1; CEA, carcinoembryonic antigen; CYFRA 21-1, cytokeratin 19 fragment; SUVmax, maximum standard uptake value; T, tumor; N, node; EGFR, epidermal growth factor receptor; SD, standard deviation</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p><sup>18</sup>F-FDG PET/CT can reveal disease at the molecular level prior to the occurrence of anatomical structural alterations, detected via observing changes in metabolism. SUV<sub>max</sub> measured by <sup>18</sup>F-FDG PET/CT has excellent reproducibility and is widely available; therefore, this measurement is often used to establish precise diagnoses, perform TNM staging, plan radiation therapy, and monitor therapeutic effects for lung cancers in comparison with other imaging modalities such as computed tomography, magnetic resonance imaging, and scintigraphy (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Takada et al. demonstrated that the metabolic features of lung cancers expressing PD-L1 on <sup>18</sup>F-FDG PET/CT were associated with other parameters, such as smoking status, pleural invasion, and SUV<sub>max</sub> (<xref ref-type="bibr" rid="B13">13</xref>). In our study, we discovered no relationships between PD-L1 and smoking status, pleural invasion, or any other invasion type.</p>
<p>In our investigation, <sup>18</sup>F-FDG PET/CT measurements were able to predict PD-L1 expression status in stage IV adenocarcinoma lung cancer patients, with an AUC of 0.681. This outcome differs slightly from results reported by Cui Y et al., who studied 73 patients with adenocarcinoma lung cancer and found an AUC of 0.855 for the prediction of PD-L1 expression using SUV<sub>max</sub> (<xref ref-type="bibr" rid="B14">14</xref>). This difference could be due to differences in the patient populations between these two studies.</p>
<p>SUV<sub>max</sub> has been found to be a prognostic indicator for both early and advanced NSCLC (<xref ref-type="bibr" rid="B15">15</xref>). A meta-analysis revealed that a high SUV<sub>max</sub> is associated with poor OS in patients with NSCLC (<xref ref-type="bibr" rid="B16">16</xref>). Although we obtained survival data from the stage IV patients in our study, the OS rate is still being evaluated. Preoperative SUV<sub>max</sub> at the primary lesion is a more accurate indicator of nodal metastases when a cutoff of 3 is used (<xref ref-type="bibr" rid="B17">17</xref>). Almost all patients in our study had an SUV<sub>max</sub> &#x0003E; 3 because they were all in stage IV with metastases. Increased PD-L1 expression is associated with worse prognosis in patients with NSCLC (<xref ref-type="bibr" rid="B18">18</xref>), supporting the concept that enhanced PD-L1 expression in tumor cells facilitates the evasion of host immune monitoring, promoting disease progression (<xref ref-type="bibr" rid="B19">19</xref>). However, Kerr et al. demonstrated that increased PD-L1 expression was associated with better OS in patients with resected NSCLC (<xref ref-type="bibr" rid="B20">20</xref>). Thus, high PD-L1 expression has been associated with both favorable and adverse prognoses (<xref ref-type="bibr" rid="B20">20</xref>). PD-L1 expression was associated with poorer OS prognosis in a study examining the relationships between PD-L1 expression and various clinicopathologic factors in 90 resected NSCLC patients, including various adenocarcinoma subtypes (<xref ref-type="bibr" rid="B21">21</xref>). The preoperative SUV<sub>max</sub> at the primary lesion measured during <sup>18</sup>F-FDG PET/CT is a more efficient index of nodal metastasis than tumor size, and SUV<sub>max</sub> can predict regional lymph node metastases (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>In patients with early-stage lung cancer who are suitable for resection, preoperative SUV<sub>max</sub> is associated with PD-L1 expression in NSCLC patients (<xref ref-type="bibr" rid="B22">22</xref>), as demonstrated in another study (<xref ref-type="bibr" rid="B13">13</xref>). An SUV<sub>max</sub> of 8.6 is associated with PD-L1 expression (TPS 11%) and is an independent prognostic factor for OS in lung squamous cell carcinoma (<xref ref-type="bibr" rid="B23">23</xref>). Additionally, elevated PD-L1 expression and a high SUV<sub>max</sub> (&#x0003E;11.2) are both independently associated with poor OS in surgical lung squamous cell carcinoma (<xref ref-type="bibr" rid="B24">24</xref>). A significant difference in OS was identified between individuals with lung adenocarcinoma with SUV<sub>max</sub> of 2.9 (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Although clinical research studies examining the association between SUV<sub>max</sub> and PD-L1 are limited, the findings remain controversial. Determining the relationship between PD-L1 expression and SUV<sub>max</sub> can determine optimal treatment selection. Previous clinical trials have demonstrated that the expression of immune checkpoints, such as PD-L1, in various patient populations can predict treatment efficacy, including pembrolizumab vs. chemotherapy, pembrolizumab vs. platinum-based chemotherapy for advanced NSCLC (<xref ref-type="bibr" rid="B26">26</xref>&#x02013;<xref ref-type="bibr" rid="B28">28</xref>). SUV<sub>max</sub> is considerably higher in patients with positive PD-L1 expression than in those with negative PD-L1 expression (<xref ref-type="bibr" rid="B13">13</xref>). This finding suggests that combining the evaluation of PD-L1 expression and SUV<sub>max</sub> in the primary tumor may help predict stage IV adenocarcinoma lung cancer prognosis.</p>
<p>Immuno-PET imaging may become a routine clinical assessment tool in this field in the near future. By defining tumors using TKI-PET and immuno-PET, we can tailor NSCLC therapy (<xref ref-type="bibr" rid="B29">29</xref>). Whole-body PD-L1 PET can also be conducted on NSCLC (<xref ref-type="bibr" rid="B30">30</xref>). We could obtain more detailed information on PD-L1 expression by using immune-PET because immune-PET delays the resolution of unresolved issues. Immune-PET can provide more precise information regarding PD-L1 expression while also consistently collecting the SUV<sub>max</sub> of the primary site. This study may gain increased significance in the future as this imaging method becomes more regularly used.</p>
<p>Several limitations existed in this study. First, this is a cross-sectional study, which did not allow us to evaluate the response to treatment PD-L1&#x02013;targeted treatment. Additional studies with larger, externally validated cohorts remain needed to elucidate the value of PD-L1 and SUV<sub>max</sub> for evaluating treatment and prognosis. Second, glutamine transporters (GLUT1) and hexokinase II should be included in future investigations. Further studies are also essential to evaluate the value of FDG PET/CT in predicting immunotherapy response.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>The SUV measured in the primary lesion was valuable for predicting PD-L1 expression status in stage IV adenocarcinoma lung cancer patients. Therefore, SUV<sub>max</sub> may play a role in predicting the efficacy of PD-L1 immunotherapy in patients with stage IV lung adenocarcinoma.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>This study was approved by the Ethics Committee of Hanoi Medical University (accession no. NCS02/HMU-IRB). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>BTC and PCP gave a substantial contribution in acquisition, analysis, and data interpretation. BTC, P-VT, and NMD prepared, drafted, and revised manuscript critically for important intellectual content. All authors gave the final approval of the version to be published and agreed to be accountable for all aspects of the work, ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.</p>
</sec>
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