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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.872353</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Prognostic Value of Natural Killer Cells and Their Receptors/Ligands in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xue</surname>
<given-names>Jun-Shuai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Zi-Niu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Meng</surname>
<given-names>Guang-Xiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Lun-Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/850779"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Hai-Chao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Sheng-Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Bao-Wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Zhao-Ru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Zhi-Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1288016"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Jian-Guo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Dong-Xu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1108721"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Tao</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="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/252282"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of General Surgery, Qilu Hospital, Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Hepatobiliary Surgery, The Second Hospital of Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nabila Jabrane-Ferrat, INSERM U1043 Centre de Physiopathologie de Toulouse Purpan, France</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mario U. Mondelli, University of Pavia, Italy; Nicolas Jacquelot, University Health Network, Canada</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Tao Li, <email xlink:href="mailto:litao7706@163.com">litao7706@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to NK and Innate Lymphoid Cell Biology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>872353</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Xue, Ding, Meng, Yan, Liu, Li, Yao, Tian, Dong, Chen, Hong, Wang and Li</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Xue, Ding, Meng, Yan, Liu, Li, Yao, Tian, Dong, Chen, Hong, Wang and Li</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>Natural killer (NK) cells play major roles in eliminating tumor cells. Preliminary studies have shown that NK cells and their receptors/ligands have prognostic value in malignant tumors. However, the relevance of NK cells and their receptors/ligands level to the prognosis of hepatocellular carcinoma (HCC) remains unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>Several electronic databases were searched from database inception to November 8, 2021. Random effects were introduced to this meta-analysis. The relevance of NK cells and their receptors/ligands level to the prognosis of HCC was evaluated using hazard ratios (HRs) with 95% confidence interval (95%CI).</p>
</sec>
<sec>
<title>Results</title>
<p>26 studies were included in the analysis. The pooled results showed that high NK cells levels were associated with better overall survival (HR=0.70, 95%CI 0.57&#x2013;0.86, P=0.001) and disease-free survival (HR=0.61, 95%CI 0.40-0.93, P=0.022) of HCC patients. In subgroup analysis for overall survival, CD57<sup>+</sup> NK cells (HR=0.70, 95%CI 0.55-0.89, P=0.004) had better prognostic value over CD56<sup>+</sup> NK cells (HR=0.69, 95%CI 0.38-1.25, P=0.224), and intratumor NK cells had better prognostic value (HR=0.71, 95%CI 0.55-0.90, P=0.005) over peripheral NK cells (HR=0.66, 95%CI 0.41-1.06, P=0.088). In addition, high level of NK cell inhibitory receptors predicted increased recurrence of HCC, while the prognostic role of NK cell activating receptors remained unclear.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>NK cells and their inhibitory receptors have prognostic value for HCC. The prognostic role of NK cell activating receptors is unclear and more high-quality prospective studies are essential to evaluate the prognostic value of NK cells and their receptors/ligands for HCC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>natural killer cells</kwd>
<kwd>receptor</kwd>
<kwd>ligand</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="70"/>
<page-count count="13"/>
<word-count count="5505"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the sixth most common malignancy worldwide and the third leading cause of cancer-related mortality (<xref ref-type="bibr" rid="B1">1</xref>). The major risk factors for HCC involve chronic hepatitis B and hepatitis C infection, alcohol, and metabolic liver disease (<xref ref-type="bibr" rid="B2">2</xref>). Natural killer (NK) cells, characterized as CD3<sup>-</sup>CD56<sup>+</sup> lymphocytes, are mainly involved in the early defense against virus infections and play major roles in eliminating tumor cells (<xref ref-type="bibr" rid="B3">3</xref>). NK cells account for only about 5&#x2013;20% of the circulating lymphocytes in the peripheral blood. In contrast, NK cells are abundant in human liver, accounting for almost half of intrahepatic lymphocytes (<xref ref-type="bibr" rid="B4">4</xref>), which lays foundation for the powerful role of NK cells in the liver tumor microenvironment.</p>
<p>Human NK cells are divided into two major subpopulations based on the surface density of CD56 antigen (<xref ref-type="bibr" rid="B5">5</xref>). CD56<sup>dim</sup> NK cells display a mature phenotype, accounting for approximately 90% of all NK cells and mediating the cytolytic response, while immature CD56<sup>bright</sup> NK cells account for 5%-15% of total NK cells and are regarded as cytokine producers (<xref ref-type="bibr" rid="B6">6</xref>). Another surface marker is CD57, which is a marker for differentiated and highly cytotoxic NK cells, and is described as a phenotypically stable NK cells marker (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>The regulation of NK cell function is mediated by a series of activated or inhibitory surface receptors. The major activated receptors involved in target cell killing are NK group 2 member D (NKG2D) and natural cytotoxic receptors (NCRs). NCRs mainly consist of NKp44, NKp46 and NKp30 (<xref ref-type="bibr" rid="B8">8</xref>), and can recognize ligands from different sources, including viral, parasitic, bacterial, as well as cellular ligands, such as HLA-B-associated transcript 3/Bcl-2-associated athanogene 6 (BAT3/BAG6), mixed lineage leukemia 5 (MLL5), proliferating cell nuclear antigen (PCNA) and B7 homolog 6 (B7-H6) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). In contrast, NKG2D mainly binds to the major histocompatibility complex class I chain-related protein A and B (MICA and MICB) and UL16-binding proteins (ULBPs). After binding, it can activate NK cells to produce cytotoxic substances to kill harmful and tumor cells (<xref ref-type="bibr" rid="B11">11</xref>). Other activated receptors include CD16, NKp88, CD244, CD226 and cytokine receptors such as interleukin (IL)-2R, IL-12R, IL-28R, IL-18R, IL-1R8, IL-15R, IL-10R, interferon receptor (IFNR) and tumor growth factor-&#x3b2; receptor (TGF-&#x3b2;R) (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>The major inhibitory receptors involved in target cell killing are NKG2A, CD96, killer immunoglobulin-like receptors (KIRs), T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) and T cell immunoglobulin domain and mucin domain-3 (TIM-3) (<xref ref-type="bibr" rid="B12">12</xref>). Other inhibitory receptors include programmed cell death-1 (PD-1), lymphocyte activation gene-3 (LAG3), leukocyte-associated immunoglobulin-like receptors (LAIRs), adenosine 2A receptor (A2AR) and immunoglobulin-like transcripts (ILTs) (<xref ref-type="bibr" rid="B15">15</xref>). PD-1 is primarily expressed by activated T lymphocytes, but may also be expressed by NK cells in tumor patients. PD-1/Programmed cell death ligand-1 (PD-L1) interactions can inactivate T cells and NK cells, allowing tumor cells to escape immune surveillance (<xref ref-type="bibr" rid="B16">16</xref>). Human histocompatibility leucocyte antigen E (HLA-E) is the main ligand of NKG2A, and is generally upregulated in cancer patients and predicts poor prognosis (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). The major histocompatibility complex class I (MHC-I) is the main ligand of KIRs, and is expressed on healthy hepatocytes. It interacts with inhibitory receptors on NK cells to prevent the activation of NK cells (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Until now, the correlation of NK cells and their receptors/ligands with the prognosis of HCC remains controversial (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). The purpose of this meta-analysis and review is to evaluate the prognostic value of NK cells and their receptors/ligands in HCC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Search Strategy and Study Selection Criteria</title>
<p>This meta-analysis was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines (supplementary PRISMA Checklist) (<xref ref-type="bibr" rid="B29">29</xref>), and inclusion criteria were based on the PICOS model.</p>
<p>Relevant studies were independently searched by two authors (JSX, ZND) from the PubMed, Embase, Web of Science and Cochrane Library literature databases from the beginning of the database until November 8, 2021. Detailed search strategy was as described in the supplement. Additional articles were identified by a manual search of the references of eligible articles.</p>
<p>Studies were included if they met the following criteria. (1) all patients were identified as having HCC; (2) studies revealed the expression of NK cells and their receptors/ligands and obtained their levels by assaying; (3) studies provided adequate information to evaluate the hazard ratio (HR) and 95% confidence interval (95% CI); (4) the prognostic indexes such as overall survival (OS), cancer-specific survival (CSS), disease-free survival (DFS), recurrence-free survival (RFS), time-to recurrence (TTR), and progression-free survival (PFS) were evaluated; (5) Anti-tumor treatments were not conducted; (6) studies must be published in English. Studies were excluded if they met the following criteria. (1) review, meta-analysis and case report; (2) basic experimental researches of HCC and studies unrelated to the NK cells and their receptors/ligands; (3) studies provided inadequate data to evaluate the correlation of NK cells and their receptors/ligands with prognosis. For republished studies, only the studies with the largest sample size were selected; alternatively, the most recent literature and relevant data were collected.</p>
</sec>
<sec id="s2_2">
<title>Data Extraction and Quality Assessment</title>
<p>Eligible study data were extracted independently by two investigators (JSX, ZND). Disagreements could be discussed and resolved with a third investigator (GXM). Baseline characteristics were extracted from the included studies. Only one study had outcome indicator for CSS, which we uniformly classified as OS. OS and DFS/RFS/TTR/PFS were used as endpoints for the meta-analysis. The quality of eligible studies was assessed by the Newcastle&#x2013;Ottawa Scale (NOS) criteria (<xref ref-type="bibr" rid="B30">30</xref>).</p>
</sec>
<sec id="s2_3">
<title>Statistical Analysis</title>
<p>Most of the relevant data from the studies could be directly collected. However, for those studies that did not provide hazard ratios (HRs) and 95% confidence intervals (95% CIs), we obtained estimates from known information using the method of Altman and Tierney (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Random effects models were applied. P &lt; 0.05 was considered statistically significant. The pooled HR and 95% CI were used to assess the relevance between NK cell level and prognosis of HCC patients. Cochran&#x2019;s Q test and Higgins&#x2019; I<sup>2</sup> statistic were used to assess the heterogeneity. P-value of heterogeneity &gt; 0.10 and I<sup>2</sup> &lt; 50% were considered as no significant heterogeneity. At the same time, subgroup analyses were performed by surface marker, source of NK cell, and outcome of patients. Sensitivity analysis was performed by removing each study to test the stability and reliability of the results. Funnel plots, Egger regression asymmetry tests, and Begg rank correlation tests were conducted to check for potential publication bias (<xref ref-type="bibr" rid="B33">33</xref>). Stata 16.0 software analysis was applied to all data in this meta-analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature Search</title>
<p>As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> of the flowchart, a total of 1831 records were initially identified. After removing duplicate studies, 1110 studies were retained. After screening for titles and abstracts, 1052 studies were excluded. After reviewing the remaining 58 studies through full text, 32 studies were excluded due to insufficient data (<xref ref-type="bibr" rid="B11">11</xref>), public database (<xref ref-type="bibr" rid="B9">9</xref>), measurement of NKT (<xref ref-type="bibr" rid="B5">5</xref>), improper detection method including Ficoll separation or radiotaged NK-sensitive K-562 cell separation (<xref ref-type="bibr" rid="B2">2</xref>), and treatment of NK cells (<xref ref-type="bibr" rid="B5">5</xref>), including intravenous infusion of NK cells alone or combined with other modalities, such as radiofrequency ablation and irreversible electroporation. Finally, 26 studies were included in this analysis, including 13 on classical NK cells, 9 on activating receptors/ligands, 3 on inhibitory receptors/ligands, and 1 on both activating and inhibitory receptors/ligands.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study flow chart of the data extraction process and selection of studies for meta-analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>The Basic Characteristics of Included Studies About NK Cells</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> summarized the basic characteristics of the included studies about NK cells. Sample sizes of the eligible studies ranged from 36 to 258, for a total of 1711, and these studies were conducted primarily in two countries: twelve in China and one in Italy. Seven studies reported on CD56<sup>+</sup> NK cells, 4 on CD57<sup>+</sup> NK cells, and 2 on NK cells. Among these studies, 5 studies detected NK cells in peripheral blood, and 8 detected intratumor NK cells. In total, 12 studies mentioned the correlation between NK cell levels and OS (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). 9 studies mentioned the correlation between NK cells levels and DFS/RFS/TTR/PFS (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>). NOS score &gt; 6 was defined as high quality, and &#x2264; 6 was defined as low quality (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The characteristics of all included eligible studies about NK cells.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Male/Female</th>
<th valign="top" align="center">Measurement</th>
<th valign="top" align="center">Marker</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Source</th>
<th valign="top" align="center">Tumor stage</th>
<th valign="top" align="center">VS</th>
<th valign="top" align="center">Numberof VS</th>
<th valign="top" align="center">Divide</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">Follow-up times</th>
<th valign="top" align="center">Score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Zhuang et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">64/14</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">mixed+SBRT</td>
<td valign="top" align="center">Peripheral blood</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">cutoff value</td>
<td valign="top" align="center">OS;PFS</td>
<td valign="top" align="center">median:32 (4.1-80)<break/>month</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Hu et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD57</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-IV</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">OS;TTR</td>
<td valign="top" align="center">until 30/06/2016</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Lin et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">132</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-III</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">cutoff value</td>
<td valign="top" align="center">OS;DFS</td>
<td valign="top" align="center">total:72 month</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Wu et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">256</td>
<td valign="top" align="center">115/15</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD57</td>
<td valign="top" align="center">resection/RFA</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-IV</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">126/130</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS;DFS</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Tao et&#xa0;al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">258</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-III</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">129/129</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS;TTR</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Chew et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-IV</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS</td>
<td valign="top" align="center">median:3.94 (0.9-5.5)<break/>year</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Zhao et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">163</td>
<td valign="top" align="center">131/32</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD57</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">82/81</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS</td>
<td valign="top" align="center">total:&gt;60 month</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Gao et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2012</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">206</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD57</td>
<td valign="top" align="center">liver transplantation</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">I-III</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">CSS;RFS</td>
<td valign="top" align="center">median:48.1 (3.4-<break/>111.9) month</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Cariani et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">Italy</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">41/29</td>
<td valign="top" align="center">Flow cytometry</td>
<td valign="top" align="center">NK cells</td>
<td valign="top" align="center">resection/RFA</td>
<td valign="top" align="center">Peripheral blood</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS;TTR</td>
<td valign="top" align="center">median OS:64 month;<break/>median TTR:16.5 month</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Pan et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">121</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Flow cytometry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection+CIK</td>
<td valign="top" align="center">Peripheral blood</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">60/61</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS</td>
<td valign="top" align="center">until 31/12/2012</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Liu et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Immuno<break/>histochemistry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Intratumor</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Positive/<break/>Negative</td>
<td valign="top" align="center">31/68</td>
<td valign="top" align="center">score</td>
<td valign="top" align="center">RFS</td>
<td valign="top" align="center">until:20/06/2020</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Pan et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">39/9</td>
<td valign="top" align="center">Flow cytometry</td>
<td valign="top" align="center">CD56</td>
<td valign="top" align="center">resection+CIK</td>
<td valign="top" align="center">Peripheral blood</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">24/24</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS;RFS</td>
<td valign="top" align="center">total:&gt;60 month</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Che et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Flow cytometry</td>
<td valign="top" align="center">NK cells</td>
<td valign="top" align="center">resection</td>
<td valign="top" align="center">Peripheral blood</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">High/Low</td>
<td valign="top" align="center">33/28</td>
<td valign="top" align="center">median</td>
<td valign="top" align="center">OS;PFS</td>
<td valign="top" align="center">total:36 month</td>
<td valign="top" align="center">6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SBRT, Stereotactic body radiation therapy; RFA, Radiofrequency ablation; CIK, Cytokine-induced killer; Mixed, TACE or RFA or PEI or surgery or no treatment; TAE, Transcatheter arterial embolization; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; TTR, Time-to recurrence; PFS, Progression-free survival; CSS, Cancer-specific survival.</p>
</fn>
<fn>
<p>NA, Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Prognostic Value of NK Cells in Patients With HCC</title>
<p>A total of 12 studies, involving 1611 patients, investigated the prognostic value of NK cells for OS. The pooled results from the 12 comparative studies were significant (HR=0.70, 95%CI 0.57-0.86, p=0.001), and the data were not heterogeneous (I<sup>2 =</sup> 16.0%, P=0.287; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). No bias was observed in the funnel plot (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). In order to better understand the prognostic value of NK cells, we further performed subgroup analysis according to the marker and source of NK cells (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In subgroup analysis of CD57<sup>+</sup> NK cells, the pooled results from 4 comparative studies were significant (HR=0.70, 0.55-0.89, P=0.004), while it was insignificant in CD56<sup>+</sup> NK cells (HR=0.69, 95%CI 0.38-1.25, P=0.224; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). Compared to peripheral NK cells (HR=0.66, 95%CI 0.41-1.06, P=0.088), the level of intratumor NK cells had better prognostic value (HR=0.71, 95%CI 0.55-0.90, P=0.005) for HCC patients (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of NK cells in HCC. <bold>(A)</bold> Forest plot of NK cells and OS in HCC. <bold>(B)</bold> Forest plot of NK cells and DFS/RFS/TTR/PFS in HCC. CI, Confidence interval; HR, Hazard ratio; HCC, Hepatocellular carcinoma; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; TTR, Time-to recurrence; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Funnel plots of NK cells in HCC. <bold>(A)</bold> Funnel plots of HR for OS of NK cells. <bold>(B)</bold> Funnel plots of HR for DFS/RFS/TTR/PFS of NK cells. CI, Confidence interval; HR, Hazard ratio; HCC, Hepatocellular carcinoma; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; TTR, Time-to recurrence; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup meta-analysis of the prognostic role of NK cells in HCC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Factor</th>
<th valign="top" rowspan="2" align="center">No. of study</th>
<th valign="top" rowspan="2" align="center">No. of patients</th>
<th valign="top" rowspan="2" align="center">HR (95%CI)</th>
<th valign="top" rowspan="2" align="center">P-value</th>
<th valign="top" colspan="2" align="center">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="center">I<sup>2</sup>(%)</th>
<th valign="top" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>OS</bold>
</td>
<td valign="top" align="center">&#x3000;</td>
<td valign="top" align="center"/>
<td valign="top" align="right"/>
<td valign="top" align="right"/>
<td valign="top" align="right">&#x3000;</td>
<td valign="top" align="right">&#x3000;</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1611</td>
<td valign="top" align="center">0.70 (0.57-0.86)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">16.0</td>
<td valign="top" align="center">0.287</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Marker</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CD56</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">673</td>
<td valign="top" align="center">0.69 (0.38-1.25)</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">0.102</td>
</tr>
<tr>
<td valign="top" align="left">CD57</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">807</td>
<td valign="top" align="center">0.70 (0.55-0.89)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">12.8</td>
<td valign="top" align="center">0.328</td>
</tr>
<tr>
<td valign="top" align="left">NK cells</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">0.67 (0.41-1.08)</td>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.532</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Source</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">378</td>
<td valign="top" align="center">0.66 (0.41-1.06)</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">0.337</td>
</tr>
<tr>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1233</td>
<td valign="top" align="center">0.71 (0.55-0.90)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">29.0</td>
<td valign="top" align="center">0.207</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>DFS/RFS/TTR/PFS</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1313</td>
<td valign="top" align="center">0.87 (0.72-1.06)</td>
<td valign="top" align="center">0.164</td>
<td valign="top" align="center">13.4</td>
<td valign="top" align="center">0.323</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Marker</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CD56</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">538</td>
<td valign="top" align="center">1.09 (0.79-1.50)</td>
<td valign="top" align="center">0.602</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.689</td>
</tr>
<tr>
<td valign="top" align="left">CD57</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">644</td>
<td valign="top" align="center">0.76 (0.57-1.01)</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center">32.3</td>
<td valign="top" align="center">0.228</td>
</tr>
<tr>
<td valign="top" align="left">NK cells</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">0.84 (0.41-1.73)</td>
<td valign="top" align="center">0.641</td>
<td valign="top" align="center">43.8</td>
<td valign="top" align="center">0.182</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Source</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">179</td>
<td valign="top" align="center">0.93 (0.59-1.46)</td>
<td valign="top" align="center">0.746</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.406</td>
</tr>
<tr>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1134</td>
<td valign="top" align="center">0.86 (0.68-1.09)</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center">32.1</td>
<td valign="top" align="center">0.195</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Outcome</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">DFS</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">388</td>
<td valign="top" align="center">0.61 (0.40-0.93)</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.784</td>
</tr>
<tr>
<td valign="top" align="left">RFS</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">354</td>
<td valign="top" align="center">0.77 (0.55-1.08)</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.568</td>
</tr>
<tr>
<td valign="top" align="left">TTR</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">510</td>
<td valign="top" align="center">1.08 (0.85-1.36)</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">0.737</td>
</tr>
<tr>
<td valign="top" align="left">PFS</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">0.50 (0.18-1.39)</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">/</td>
<td valign="top" align="center">/</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HCC, Hepatocellular carcinoma; NK, Natural killer; CI, Confidence interval; HR, Hazard ratio; OS, Overall survival; DFS, Disease-free survival; TTR, Time-to recurrence; RFS, Recurrence-free survival; PFS, Progression-free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A total of 9 studies, involving 1313 patients, investigated the prognostic value of NK cells for DFS/RFS/TTR/PFS. The pooled results from the 9 comparative studies were not significant (HR=0.87, 95%CI 0.72-1.06, P=0.164), and the data were not heterogeneous (I<sup>2 =</sup> 13.4%, P=0.323; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). No bias was observed in the funnel plot (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). We also performed subgroup analysis to better understand prognostic value of NK cells (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The pooled HR (95%CI) for CD57<sup>+</sup> NK cells and CD56<sup>+</sup> NK cells was 0.76 (0.57-1.01, P=0.059) and 1.09 (0.79-1.50, P=0.602), respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). For NK cells derived from peripheral blood and intratumor, the pooled HR (95%CI) was 0.93 (0.59-1.46, P=0.746) and 0.86 (0.68-1.09, P=0.213), respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4</bold>
</xref>). In addition, in subgroup analysis of outcome, we found that high NK cells levels could be a good predictor for DFS (HR=0.61, 95%CI 0.40-0.93, P=0.022), but not for RFS, TTR and PFS (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Prognostic Value of Activating Receptors/Ligands on NK Cells</title>
<p>
<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> summarized the outcomes of 3 studies that reported on NKp30<sup>+</sup> NK cells. One study mentioned that high NKp30<sup>+</sup> NK cell level was associated with better survival (<xref ref-type="bibr" rid="B41">41</xref>), while another study reported no effect of NKp30<sup>+</sup> NK cell level on patient outcome (<xref ref-type="bibr" rid="B43">43</xref>). Other study suggested that high NKp30<sup>+</sup> NK cell level was associated with good PFS, but not with OS (<xref ref-type="bibr" rid="B42">42</xref>). In addition, one study investigated the prognostic role of NKG2D. They concluded that low frequency of circulating NKG2D<sup>+</sup>CD56<sup>dim</sup> NK cells one month after hepatectomy may predict a poor prognosis for patients with HBV-related HCC (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The characteristics of included studies about the NK cells activating receptors and their ligands.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Marker</th>
<th valign="top" align="center">Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Measure ment</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Source</th>
<th valign="top" align="center">Tumor stage</th>
<th valign="top" align="center">VS</th>
<th valign="top" align="center">Number of VS</th>
<th valign="top" align="center">Divide</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Follow-up times</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Activating receptors of the NK cells</td>
<td valign="top" align="center">NKp30</td>
<td valign="top" align="left">Chew et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">2010</td>
<td valign="top" align="left">Singapore</td>
<td valign="top" align="left">61</td>
<td valign="top" align="left">Immuno histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">I-III</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">median</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">HR (95%CI) 0.34 (0.13,0.85) P=0.0144</td>
<td valign="top" align="left">median: 2.56 (0.02-9.11) year</td>
</tr>
<tr>
<td valign="top" align="center">NKp30</td>
<td valign="top" align="left">Li et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">untreated</td>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">16/9</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">OS;PFS</td>
<td valign="top" align="left">Log-rank test P=0.279; Log-rank test P=0.016</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="center">NKG2D</td>
<td valign="top" align="left">Gao et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">2016</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="left">I-III</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">10/10</td>
<td valign="top" align="left">median</td>
<td valign="top" align="left">OS;RFS</td>
<td valign="top" align="left">Log-rank test P=0.014; Log-rank test P=0.010</td>
<td valign="top" align="left">until:2014.11</td>
</tr>
<tr>
<td valign="top" align="center">NKp30</td>
<td valign="top" align="left">Rochigneux et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">57</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">RFA</td>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">28/29</td>
<td valign="top" align="left">median</td>
<td valign="top" align="left">PFS</td>
<td valign="top" align="left">HR (95%CI) 0.61 (0.29,1.29) P=0.20</td>
<td valign="top" align="left">until:12/2016</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Ligands of the NK cells activating receptors</td>
<td valign="top" align="center">soluble MICA</td>
<td valign="top" align="left">Li et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">2013</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">60</td>
<td valign="top" align="left">ELISA</td>
<td valign="top" align="left">TACE</td>
<td valign="top" align="left">serum</td>
<td valign="top" align="left">III/IV</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">28/32</td>
<td valign="top" align="left">median</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">HR (95%CI) 1.47 (1.01,1.95) P&lt;0.001</td>
<td valign="top" align="left">until:31/08/2010</td>
</tr>
<tr>
<td valign="top" align="center">B7-H6</td>
<td valign="top" align="left">Qiu et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">90</td>
<td valign="top" align="left">Immuno histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">I/II</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">33/57</td>
<td valign="top" align="left">mean-H score</td>
<td valign="top" align="left">OS;DFS</td>
<td valign="top" align="left">HR (95%CI) 0.47 (0.24,0.93) P=0.029; HR (95%CI) 0.72 (0.36,1.43) P=0.1013</td>
<td valign="top" align="left">total:&gt;60 month</td>
</tr>
<tr>
<td valign="top" align="center">MICA</td>
<td valign="top" align="left">Zhang et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">143</td>
<td valign="top" align="left">Immuno histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">I-IV</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">OS;RFS</td>
<td valign="top" align="left">HR (95%CI) 0.91 (0.49,1.69) P=0.774; HR (95%CI) 1.43 (0.90,2.27) P=0.135</td>
<td valign="top" align="left">until:08/2013</td>
</tr>
<tr>
<td valign="top" align="center">MICA/B</td>
<td valign="top" align="left">Fang et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">2014</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">96</td>
<td valign="top" align="left">Immuno histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">I-IV</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">75/21</td>
<td valign="top" align="left">MICA/B expression score</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">HR (95%CI) 0.32 (0.11,0.92) P&lt;0.001</td>
<td valign="top" align="left">until:08/2012</td>
</tr>
<tr>
<td valign="top" align="center">ULBP1</td>
<td valign="top" align="left">Kamimura et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="left">2012</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">54</td>
<td valign="top" align="left">Immuno histochemistry</td>
<td valign="top" align="left">untreated/ resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Positive/Negative</td>
<td valign="top" align="left">25/47</td>
<td valign="top" align="left">expression</td>
<td valign="top" align="left">OS;RFS</td>
<td valign="top" align="left">HR (95%CI) 0.72 (0.09,5.70) P=0.120; HR (95%CI) 0.2 (0.06,0.65) P=0.006</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="center">ULBP1</td>
<td valign="top" align="left">Easom et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="left">2020</td>
<td valign="top" align="left">England</td>
<td valign="top" align="left">72</td>
<td valign="top" align="left">ELISA</td>
<td valign="top" align="left">untreated</td>
<td valign="top" align="left">serum</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">HR (95%CI) 2.11 (1.02,4.02) P=0.0029</td>
<td valign="top" align="left">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NK, Natural killer; CI, Confidence interval; HR, Hazard ratio; RFA, Radiofrequency ablation; ELISA, Enzyme-linked immunosorbent assay; TACE, Transcatheter arterial chemoembolization; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; PFS, Progression-free survival; NA, Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A total of 6 studies reported on ligands of NK cell activating receptors, including MICA, MICB, soluble MICA (sMICA), ULBP1 and B7-H6 (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>). The pooled HR (95%CI) for OS and DFS/RFS/PFS was 0.91 (0.52-1.57, P=0.726; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>) and 0.68 (0.26-1.75, P=0.422; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), respectively.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of NK cells activating receptors/ligands in HCC. <bold>(A)</bold> Forest plot of NK cells activating receptors/ligands and OS in HCC. <bold>(B)</bold> Forest plot of NK cells activating receptors/ligands and DFS/RFS/PFS in HCC. CI, Confidence interval; HR, Hazard ratio; HCC, Hepatocellular carcinoma; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g004.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Prognostic Value of Inhibitory Receptors/Ligands on NK Cells</title>
<p>
<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> summarized the outcomes of 4 studies that mentioned NK cell inhibitory receptors, including NKG2A, CD96, CD158b, TIGIT and TIM-3 (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). They all concluded that high level of NK cell inhibitory receptors predicted increased recurrence of HCC patients. Sun and Li et&#xa0;al. suggested that the level of NK cell inhibitory receptors was not associated with survival of HCC patients, while other studies revealed that high NK cell inhibitory receptors level predicted poor survival of HCC patients. One study found that intratumor level of HLA-E was increased, and high HLA-E level was correlated with poor prognosis of HCC patients (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The characteristics of included studies about the NK cells inhibitory receptors and their ligands.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Marker</th>
<th valign="top" align="center">Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Measurement</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Source</th>
<th valign="top" align="center">Tumor stage</th>
<th valign="top" align="center">VS</th>
<th valign="top" align="center">Number of VS</th>
<th valign="top" align="center">Divide</th>
<th valign="top" align="center">Outcome</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Follow-up times</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Inhibitory receptors of the NK cells</td>
<td valign="top" align="center">NKG2A</td>
<td valign="top" align="left">Sun et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">2017</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">177</td>
<td valign="top" align="left">Immune histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">68/109</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">OS;DFS</td>
<td valign="top" align="left">HR (95%CI) 2.13<break/>(1.28,3.56)<break/>P=0.0037; HR (95%CI) 1.93<break/>(1.28,2.93)<break/>P=0.0018</td>
<td valign="top" align="left">median OS:1299.7 &#xb1; 1974.2 day;<break/>median DFS:980.0 &#xb1; 1796.1 day</td>
</tr>
<tr>
<td valign="top" align="center">CD96</td>
<td valign="top" align="left">Sun et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">2019</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">236</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">OS;DFS</td>
<td valign="top" align="left">Log-rank test P=0.5027; Log-rank test P=0.0484</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="center">CD158b</td>
<td valign="top" align="left">Li et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">SBRT</td>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">5/8</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">OS;PFS</td>
<td valign="top" align="left">Log-rank test P=0.273; Log-rank test P=0.003</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="center">TIGIT<break/>TIM-3</td>
<td valign="top" align="left">Yu et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">2021</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">133</td>
<td valign="top" align="left">Flow cytometry</td>
<td valign="top" align="left">palliative/minimally invasive/resection</td>
<td valign="top" align="left">Peripheral blood</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">65/68</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">PFS</td>
<td valign="top" align="left">HR (95%CI) 2.05 (1.24,3.04) P=0.005</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left">Ligands of the NK cells inhibitory receptors</td>
<td valign="top" align="center">HLA-E</td>
<td valign="top" align="left">Sun et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">2017</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">177</td>
<td valign="top" align="left">Immune histochemistry</td>
<td valign="top" align="left">resection</td>
<td valign="top" align="left">Intratumor</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">High/Low</td>
<td valign="top" align="left">79/98</td>
<td valign="top" align="left">cutoff value</td>
<td valign="top" align="left">OS;DFS</td>
<td valign="top" align="left">HR (95%CI) 2.68 (1.58,4.56) P=0.0003; HR (95%CI) 2.41 (1.60,3.64)<break/>P&lt;0.0001</td>
<td valign="top" align="left">median OS:1299.7 &#xb1; 1974.2 day; median DFS:980.0 &#xb1; 1796.1 day</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NK, Natural killer; CI, Confidence interval; HR, Hazard ratio; SBRT: Stereotactic body radiation therapy; OS, Overall survival; DFS, Disease-free survival; PFS, Progression-free survival; NA, Not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of NK cells inhibitory receptors/ligands in HCC. <bold>(A)</bold> Forest plot of NK cells inhibitory receptors/ligands and OS in HCC. <bold>(B)</bold> Forest plot of NK cells inhibitory receptors/ligands and DFS/PFS in HCC. CI, Confidence interval; HR, Hazard ratio; HCC, Hepatocellular carcinoma; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Assessment of Sensitivity Analysis and Publication Bias</title>
<p>Sensitivity analysis was performed to evaluate the stability of NK cells for predicting survival and recurrence of HCC patients. After removing any of the studies, the results did not exceed the 95% CI range of the pooled results (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>). Begg&#x2019;s test and Egger&#x2019;s linear regression test were used to assess whether there was potential publication bias in this meta-analysis. The results showed that no apparent publication bias for the analysis was found between NK cells and OS (Begg&#x2019;s test: P=0.732, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>; Egger&#x2019;s test: P=0.564, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). Similarly, no significant publication bias was found for DFS/RFS/TTR/PFS analysis (Begg&#x2019;s test: P=0.602, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>; Egger&#x2019;s test: P=0.401, <xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Sensitivity analysis of NK cells. <bold>(A)</bold> Sensitivity analysis for OS of NK cells. <bold>(B)</bold> Sensitivity analysis for DFS/RFS/TTR/PFS of NK cells. CI, Confidence interval; HR, Hazard ratio; NK, Natural killer; OS, Overall survival; DFS, Disease-free survival; RFS, Recurrence-free survival; TTR, Time-to recurrence; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Evaluation of publication bias of NK cells using Begg&#x2019;s test and Egger&#x2019;s test. <bold>(A)</bold> Begg&#x2019;s test for OS of NK cells, P=0.732. <bold>(B)</bold> Egger&#x2019;s test for OS of NK cells, P=0.564. <bold>(C)</bold> Begg&#x2019;s test for DFS/RFS/TTR/PFS of NK cells, P=0.602. <bold>(D)</bold> Egger&#x2019;s test for DFS/RFS/TTR/PFS of NK cells, P=0.401. lnhr, the ln of HR; s.e., standard error; NK, Natural killer; OS, Overall survival, DFS, Disease-free survival; RFS, Recurrence-free survival; TTR, Time-to recurrence; PFS, Progression-free survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-872353-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>NK cells are innate lymphocytes that can kill virus-infected or cancer cells, and have a vital role in early hepatocarcinogenesis (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Different to T cells which require somatic gene rearrangement to produce highly antigen-specific receptors (<xref ref-type="bibr" rid="B53">53</xref>), NK cells are innately equipped with germline-encoded activating and inhibitory receptors that can directly determine whether NK cells are activated or inhibited (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B54">54</xref>). NK cells can deliver cytotoxic granules, secrete effector cytokines, and are involved in death receptor induced apoptosis (<xref ref-type="bibr" rid="B55">55</xref>). NK cells can also rapidly produce cytokines with anti-tumor effects, such as IFN-&#x3b3;, to exert their killing effects in the early stage of disease (<xref ref-type="bibr" rid="B56">56</xref>). In addition, NK cells can bind to target cells through surface CD16 and kill them through exerting antibody-dependent cell-mediated cytotoxicity (ADCC) (<xref ref-type="bibr" rid="B57">57</xref>). These results imply that NK cells play an essential role in the body&#x2019;s immune process in the defense against HCC.</p>
<p>In this study, we found that high NK cell level could predict better survival for patients with HCC. Similar results were previously reported in a meta-analysis of solid tumors (<xref ref-type="bibr" rid="B58">58</xref>). In subgroup analysis, CD57<sup>+</sup> NK cells had better prognostic value over CD56<sup>+</sup> NK cells. On the one hand, it may be that CD56<sup>+</sup> NK cells, accounting for the majority of circulating NK cells, also expressed inhibitory molecules, which may strive for a dynamic balance between activating and inhibitory molecules. Moreover, lower IFN-&#x3b3; production was also described in HCC, in accordance with the decreased cytotoxicity of NK cells (<xref ref-type="bibr" rid="B59">59</xref>). On the other hand, acquisition of CD57 represents a shift toward a higher cytotoxic capacity, greater responsiveness to signaling <italic>via</italic> CD16 and natural NCRs (<xref ref-type="bibr" rid="B60">60</xref>). The same result was also observed in Hu et&#xa0;al.&#x2019;s study (<xref ref-type="bibr" rid="B61">61</xref>). In addition, compared to peripheral NK cells, NK cells from intratumor had better prognostic value for prognosis of HCC patients, possibly because NK cells are abundant in human liver.</p>
<p>NK cells express activating and inhibitory receptors in order to perceive signals and display their activity. Depending on the received signal, NK cells can be activated or restricted (<xref ref-type="bibr" rid="B62">62</xref>). In this study, activating receptors/ligands mainly contain NKG2D, NKp30, and their ligands. NKG2D ligands mainly consist of ULBPs and MICA/B. MICA/B molecules expressed on HCC cells are recognized by NKG2D to induce ubiquitination-mediated endocytosis of the NKG2D-DAP10 complex, thereby activating NK cells to kill HCC (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B57">57</xref>). NKp30 contains two ligands. One is BAT3, a nuclear protein that induces apoptosis in target cells by interacting with P53. The other is B7-H6, a newly discovered member of the B7 family that is expressed on the surface of tumor cells (<xref ref-type="bibr" rid="B45">45</xref>). B7-H6/NKp30 pathway is involved in the NK cell-mediated immune responses, and NK cells can recognize and eliminate B7-H6-expressing tumors, including HCC. However, tumors can also impair NK cell function by shedding B7-H6 membranes or decreasing NKp30 expression, leading to tumor immune escape and tumor progression (<xref ref-type="bibr" rid="B63">63</xref>). In addition, hypoxia, some soluble forms of NCRs ligands, or soluble factors produced by tumor/tumor-associated cells, can induce a decrease in both NCR expression and function (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>), and protect tumor from NK cell-mediated cytotoxicity (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B66">66</xref>). Until now, the prognostic value of activating receptors remained inconsistent from different studies and deserved further investigation.</p>
<p>Inhibitory receptors/ligands mainly contain NKG2A, CD96, CD158b, TIGIT and TIM-3, and HLA-E. The NKG2A is expressed approximately in half of the peripheral blood NK cells, and is also expressed on CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B67">67</xref>). The inhibitory signals induced by NKG2A engagement can result in decreased capacity of NK cells and CD8<sup>+</sup> T cells to lyse target cells (<xref ref-type="bibr" rid="B68">68</xref>), and enhanced expression of the HLA-E on tumor may result in resistance and immune escape by binding to NKG2A (<xref ref-type="bibr" rid="B68">68</xref>). Therefore, blocking the interaction of NKG2A with HLA-E has shown promising therapeutic effects in animal study (<xref ref-type="bibr" rid="B69">69</xref>). In addition, there is increasing evidence that PD-1 is also expressed on the surface of NK cells and exerts a suppressive function on T cell responses (<xref ref-type="bibr" rid="B16">16</xref>). In this study, though we found that inhibitory receptors of NK cells may be a good predictor for recurrence of HCC, however, their prognostic value in predicting survival was unclear. Therefore, more high-quality prospective studies are needed to explore the prognostic value of NK cells and their receptors/ligands for HCC.</p>
<p>The strength of this study is that it explored for the first time the prognostic value of NK cells and their receptors/ligands in HCC. Almost all relevant articles that could be collected were included and a comprehensive analysis was provided. However, the following limitations should also be considered. First, some of the data were not obtained directly from the included studies. HRs and 95% CIs were calculated using survival curves or 95% CIs were calculated from known P values and HRs, which may result in data inaccuracy to some extent. Second, although most studies used median as the cut-off value for NK cells level, these values were complex and related to the clinicopathological characteristics of the HCC patients. Third, although DFS/RFS/TTR/PFS of HCC patients are considered as composite outcome indicators, there are still slightly difference between them. Fourth, NK cells receptors/ligands are diverse. The pooled results may exist in bias to some extent. Fifth, this was an aggregate data rather than an individual data meta-analysis, and the data were various between studies, which somehow diminished the significance of the study. Finally, some surface markers were expressed not only in NK cells, but also in other immune cells, such as T cells, Dendritic cells (DCs), etc. Moreover, liver NK cells are composed of several subsets including conventional, type 1 innate lymphoid cells (ILC1) like, and liver-resident NK cells. All of them can express similar molecules and potentially be responsible for the clinical benefit observed (<xref ref-type="bibr" rid="B70">70</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In summary, we concluded that NK cells could be a good predictor for survival of HCC. More importantly, CD57<sup>+</sup> NK cells may have better prognostic value over CD56<sup>+</sup> NK cells, and intratumor NK cells have better prognostic value over peripheral NK cells. Inhibitory receptors of NK cell may be a good predictor for recurrence of HCC, but the value of activating and inhibitory receptors in predicting the survival of HCC was unclear. More high-quality prospective studies are essential to evaluate the prognostic value of NK cells and their receptors/ligands for HCC.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>J-SX and TL were responsible for designing the study. J-SX, Z-ND, and G-XM conducted the systematic search and performed the screening. J-SX, Z-ND, G-XM, L-JY, HL, H-CL, S-YY, B-WT, J-GH, Z-RD, Z-QC, and D-XW primarily performed the quality assessment as well as supervision. J-SX analyzed, interpreted the data, and drafted the manuscript. TL revised the manuscript. All data and material analyzed during this study were included in this article. All authors have read and approved the final version of the manuscript.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the grants from the Taishan Scholars Program for Young Expert of Shandong Province (Grant No. tsqn20161064), National Natural Science Foundation of China (Grant No. 82073200 &amp; 81874178), funds for Independent Cultivation of Innovative Team from Universities in Jinan (Grant No. 2020GXRC023), and Major basic research of Shandong Provincial Natural Science Foundation (Grant No. ZR202105070027).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.872353/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.872353/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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<glossary>
<title>Glossary</title>
<table-wrap position="anchor">
<table frame="hsides">
<tbody>
<tr>
<td valign="top" align="left">NK</td>
<td valign="top" align="left">Natural killer</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="left">Hepatocellular carcinoma</td>
</tr>
<tr>
<td valign="top" align="left">HRs</td>
<td valign="top" align="left">Hazard ratios</td>
</tr>
<tr>
<td valign="top" align="left">CI</td>
<td valign="top" align="left">Confidence interval</td>
</tr>
<tr>
<td valign="top" align="left">NKG2D</td>
<td valign="top" align="left">NK group 2 member D</td>
</tr>
<tr>
<td valign="top" align="left">NCRs</td>
<td valign="top" align="left">Natural cytotoxic receptors</td>
</tr>
<tr>
<td valign="top" align="left">IL</td>
<td valign="top" align="left">Interleukin</td>
</tr>
<tr>
<td valign="top" align="left">IFNR</td>
<td valign="top" align="left">Interferon receptor</td>
</tr>
<tr>
<td valign="top" align="left">TGF-&#x3b2;R</td>
<td valign="top" align="left">Tumor growth factor-&#x3b2; receptor</td>
</tr>
<tr>
<td valign="top" align="left">BAT3</td>
<td valign="top" align="left">HLA-B-associated transcript 3</td>
</tr>
<tr>
<td valign="top" align="left">BAG6</td>
<td valign="top" align="left">Bcl-2-associated athanogene 6</td>
</tr>
<tr>
<td valign="top" align="left">MLL5</td>
<td valign="top" align="left">Mixed lineage leukemia 5</td>
</tr>
<tr>
<td valign="top" align="left">PCNA</td>
<td valign="top" align="left">Proliferating cell nuclear antigen</td>
</tr>
<tr>
<td valign="top" align="left">B7-H6</td>
<td valign="top" align="left">B7 homolog 6</td>
</tr>
<tr>
<td valign="top" align="left">MIC</td>
<td valign="top" align="left">Major histocompatibility complex class I chain-related protein</td>
</tr>
<tr>
<td valign="top" align="left">ULBPs</td>
<td valign="top" align="left">UL16-binding proteins</td>
</tr>
<tr>
<td valign="top" align="left">KIRs</td>
<td valign="top" align="left">Killer immunoglobulin-like receptors</td>
</tr>
<tr>
<td valign="top" align="left">TIM-3</td>
<td valign="top" align="left">T cell immunoglobulin domain and mucin domain-3</td>
</tr>
<tr>
<td valign="top" align="left">TIGIT</td>
<td valign="top" align="left">T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain</td>
</tr>
<tr>
<td valign="top" align="left">PD-1</td>
<td valign="top" align="left">Programmed cell death-1</td>
</tr>
<tr>
<td valign="top" align="left">PD-L1</td>
<td valign="top" align="left">Programmed cell death ligand-1</td>
</tr>
<tr>
<td valign="top" align="left">LAG3</td>
<td valign="top" align="left">Lymphocyte activation gene-3</td>
</tr>
<tr>
<td valign="top" align="left">LAIRs</td>
<td valign="top" align="left">Leukocyte-associated immunoglobulin-like receptors</td>
</tr>
<tr>
<td valign="top" align="left">A2AR</td>
<td valign="top" align="left">Adenosine 2A receptor</td>
</tr>
<tr>
<td valign="top" align="left">ILTs</td>
<td valign="top" align="left">Immunoglobulin-like transcripts</td>
</tr>
<tr>
<td valign="top" align="left">HLA-E</td>
<td valign="top" align="left">Histocompatibility leucocyte antigen E</td>
</tr>
<tr>
<td valign="top" align="left">MHC-I</td>
<td valign="top" align="left">Major histocompatibility complex class I</td>
</tr>
<tr>
<td valign="top" align="left">PRISMA</td>
<td valign="top" align="left">Preferred Reporting Items for Systematic reviews and Meta-Analyses</td>
</tr>
<tr>
<td valign="top" align="left">OS</td>
<td valign="top" align="left">Overall survival</td>
</tr>
<tr>
<td valign="top" align="left">CSS</td>
<td valign="top" align="left">Cancer-specific survival</td>
</tr>
<tr>
<td valign="top" align="left">DFS</td>
<td valign="top" align="left">Disease-free survival</td>
</tr>
<tr>
<td valign="top" align="left">RFS</td>
<td valign="top" align="left">Recurrence-free survival</td>
</tr>
<tr>
<td valign="top" align="left">TTR</td>
<td valign="top" align="left">Time-to recurrence</td>
</tr>
<tr>
<td valign="top" align="left">PFS</td>
<td valign="top" align="left">Progression-free survival</td>
</tr>
<tr>
<td valign="top" align="left">NOS</td>
<td valign="top" align="left">Newcastle&#x2013;Ottawa Scale</td>
</tr>
<tr>
<td valign="top" align="left">sMICA</td>
<td valign="top" align="left">Soluble MICA</td>
</tr>
<tr>
<td valign="top" align="left">ADCC</td>
<td valign="top" align="left">Antibody-dependent cell-mediated cytotoxicity</td>
</tr>
<tr>
<td valign="top" align="left">DCs</td>
<td valign="top" align="left">Dendritic cells</td>
</tr>
<tr>
<td valign="top" align="left">ILC1</td>
<td valign="top" align="left">Type 1 innate lymphoid cells</td>
</tr>
</tbody>
</table>
</table-wrap>
</glossary>
</back>
</article>