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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.2021.670391</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Role of Cytokines in Predicting the Response and Adverse Events Related to Immune Checkpoint Inhibitors</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhai</surname>
<given-names>Xiaoyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1092782"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ji</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Jingyuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1252687"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Shuhui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>YuYing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/936909"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Cardiology, Qilu Hospital Affiliated to Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jonathan Pol, Institut National de la Sant&#xe9; et de la Recherche M&#xe9;dicale (INSERM), France</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Marcia Antoniazi Michelin, Universidade Federal do Tri&#xe2;ngulo Mineiro, Brazil; Jamshid Hadjati, Tehran University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Hui Zhu, <email xlink:href="mailto:drzhuh@126.com">drzhuh@126.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Immunity and Immunotherapy, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>07</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>670391</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>02</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Wang, Zhai, Li, Guan, Xu, Li and Zhu</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Wang, Zhai, Li, Guan, Xu, Li and Zhu</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>
<p>Recently, the overall survival (OS) and progression-free survival (PFS) of patients with advanced cancer has been significantly improved due to the application of immune checkpoint inhibitors (ICIs). Low response rate and high occurrence of immune-related adverse events (irAEs) make urgently need for ideal predictive biomarkers to identity efficient population and guide treatment strategies. Cytokines are small soluble proteins with a wide range of biological activity that are secreted by activated immune cells or tumor cells and act as a bridge between innate immunity, infection, inflammation and cancer. Cytokines can be detected in peripheral blood and suitable for dynamic detection. During the era of ICIs, many studies investigated the role of cytokines in prediction of the efficiency and toxicity of ICIs. Herein, we review the relevant studies on TNF-&#x3b1;, IFN-&#x3b3;, IL-6, IL-8, TGF-&#x3b2; and other cytokines as biomarkers for predicting ICI-related reactions and adverse events, and explore the immunomodulatory mechanisms. Finally, the most important purpose of this review is to help identify predictors of ICI to screen patients who are most likely to benefit from immunotherapy.</p>
</abstract>
<kwd-group>
<kwd>cytokines</kwd>
<kwd>immune checkpoint inhibitors</kwd>
<kwd>predictive factors</kwd>
<kwd>adverse events</kwd>
<kwd>response</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="146"/>
<page-count count="12"/>
<word-count count="5476"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Immune checkpoint inhibitors (ICIs) therapy has shown improved clinical responses and significant survival benefits in patients with locally advanced or advanced solid tumor types. Specifically, programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1), and monoclonal antibodies against cytotoxic T lymphocyte antigen 4 (CTLA-4) have been approved in the first-line and second-line treatment of various malignant neoplasms, including non-small cell lung cancer (NSCLC), melanoma, renal cell carcinoma (RCC), etc. (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). To date, there are six Food and Drug Administration (FDA)-approved ICIs for PD-1/PD-L1/CTLA-4, including pembrolizumab and nivolumab (anti-PD-1) and atezolizumab, durvalumab and avelumab (anti-PD-L1). However, the first-line objective response rate (ORR) of NSCLC treated by ICIs plus chemotherapy was approximately 48-58% (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), and ICI monotherapy was only approximately 27-46% (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Thus, a large number of patients did not receive beneficial effects. Additionally, immune-related adverse events (irAEs), which occurs mostly in derma, digestive system, endocrine organs and lungs. The response rate of any grade of irAEs was 30% and &#x2265;grade 3 was 5-10%, even 1% death rate (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Hence, biomarkers are pressing needed for identification patients who will benefit most from ICIs and avoid over treatment.</p>
<p>Predictive biomarkers for prognosis and adverse reactions of ICI treatment received more attention and have been widely explored in recent years. According to the simple being test, current biomarkers are mainly including tumor tissue biomarkers [e.g. PD-L1 expression (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), tumor mutation burden (TMB) (<xref ref-type="bibr" rid="B13">13</xref>), MHC molecule expression (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>)], circulating immune cells biomarkers [e.g. CD4<sup>+</sup>T cells (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>), myeloid-derived suppressive cells (MDSCs) (<xref ref-type="bibr" rid="B18">18</xref>)] and soluble systemic immune/inflammatory biomarkers [e.g. lactate dehydrogenase (LDH) (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>), cytokines (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>)]. However, definite conclusions have not been reached. So far, PD-L1 expression based on assays on tumor cells is the only biomarker that is approved and extensively used for selecting patients for PD1/PD-L1 immunotherapy (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). However, response was observed in PD-L1 negative patients and not all PD-L1 positive patients benefit (<xref ref-type="bibr" rid="B25">25</xref>). In addition, PD-L1 detection requires tissue samples obtained by an invasive means and local tissue may provide an incomplete insight of TME. Circulating biomarkers based on plasma offer an alternative non-invasive solution to address these weaknesses.</p>
<p>Cytokines (CK) are a series of low molecular weight soluble proteins, including interleukin (IL), interferon (IFN), tumor necrosis factor (TNF) superfamily, colony stimulating factors (CSF), chemokines, and growth factors (GF), secreted by immune cells (such as monocytes, macrophages, T cells, B cells, and NK cells) and some nonimmune cells (endothelial cells, epidermal cells, and fibroblasts) after induction by immunogens, mitogens, or other stimulants (<xref ref-type="bibr" rid="B26">26</xref>). Autocrine, paracrine, or endocrine cytokines bind to the receptors on the target cell membrane to trigger intracellular signals and change specific cellular functions (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Changes of cytokines levels regulate tumor microenvironment, change the proliferation and differentiation of immune cells, and even influence the metastasis of cancer cells (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>A series of studies have evaluated the level of baseline and changes of cytokines in various tumors patients treated with ICIs. Several preclinical model studies have shown that a combination of certain cytokine drugs and ICIs can improve the prognosis (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In this review, we retrospect the potential value of cytokines in predicting the efficacy and adverse reactions of immune checkpoint therapy (ICT) and intends to identify patients who will benefit from ICIs.</p>
</sec>
<sec id="s2">
<title>TNF-&#x3b1;</title>
<p>Tumor necrosis factor (TNF) was named in 1975 by Carswell because TNF caused tumor bleeding and necrosis (<xref ref-type="bibr" rid="B33">33</xref>). TNF-&#x3b1; is mainly produced by monocytes and macrophages. Additionally, TNF-&#x3b1; is detected in tumor tissue and secreted by malignant tumor tissues or interstitial tumor cells. Soluble TNF-&#x3b1; (sTNF) and transmembrane TNF-&#x3b1; (tmTNF) are two forms of TNF-&#x3b1;. TNF-&#x3b1; binds to two receptors including TNFR1 and TNFR2. TNFR1 is ubiquitously expressed, and TNFR2 is expressed only in immune cells, neurons, and endothelial cells (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). After binding to the receptors, TNF-&#x3b1; recruits death domain (DD) proteins, such as Fas-associated death domain (FADD) and TNFR associated DD (TRADD), activates apoptotic signal transduction pathways, and recruits TRAF family proteins, such as NF-kappa B and JNK, which accelerate cell proliferation and differentiation (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Moreover, TNF-&#x3b1; plays a key role in a number of systemic inflammatory diseases. Anti-TNF-&#x3b1; drugs are effective in the treatment of inflammation associated with a variety of autoimmune diseases, such as rheumatoid arthritis (RA), inflammatory bowel disease (IBD) (<xref ref-type="bibr" rid="B38">38</xref>), ankylosing spondylitis, and Behcet&#x2019;s disease (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>The associations of TNF-&#x3b1; with a response to ICIs was investigated in several studies. Tanaka et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>) showed serum levels of TNF-&#x3b1; were decreased in 6/9 malignant melanoma (MM) patients with complete remission (CR), partial remission (PR) or long-term stable disease (long SD), and elevated in six patients with progressive disease (PD) (P&lt;0.05). It agrees with the preclinical study results that TNF induced resistance of immunotherapy (<xref ref-type="bibr" rid="B41">41</xref>). Several studies demonstrated the mechanism that TNF-&#x3b1; may acted as a negative biomarker. TNF-&#x3b1; upregulates the expression of PD-L1 in tumor cells and T cell immunoglobulin and mucin domain 3 (TIM-3) in CD8<sup>+</sup> TIL (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). TIM-3 has been reported as secondary immune checkpoints which limit the function of tumor reactive T cells (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B43">43</xref>) and trigger TIL exhaustion (<xref ref-type="bibr" rid="B44">44</xref>). Additionally, TNF was shown to trigger CD8<sup>+</sup> T cell activation-induced cell death (AICD) (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Blocking TNF and PD-1 increased the number and activity of tumor-infiltrating CD8<sup>+</sup> TIL (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B47">47</xref>) and enabled to achieve 75% survival <italic>versus</italic> 20% survival in the case of treatment with anti-PD-1 alone. In addition, Lim et&#xa0;al. found that TNF-&#x3b1; upregulates the expression of ubiquitin enzyme CSN5, which reduces the ubiquitination of PD-L1 and stabilizes its expression (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>Different results have been reported in studies. Boutsikou et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>) reported increased TNF-&#x3b1; levels at the time before and 3 months after anti-PD-1 was correlated with improved response and prolonged survival (P=0.009) in 26 NSCLC patients treated with PD-1 inhibitors, while not association with PFS. Additionally, Ozawa et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) showed no significant difference of TNF-&#x3b1; levels at time of before and 7 days anti-PD-1 in 10 NSCLC patients. However, no serious adverse effects were observed in patients with normal TNF-&#x3b1; levels. Baseline TNF-&#x3b1; may not act as an ideal biomarker for ICI treatment. Correlation between survival and non-synonymous TNF pathway mutations was not discovered in any cancer type (<xref ref-type="bibr" rid="B48">48</xref>). Changed TNF-&#x3b1; levels and suitable time for detecting plasma was needed further explored. A brief summary of clinical studies of the association of ICT response and irAEs with cytokines is respectively shown in <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical studies of the association of ICT response with cytokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cytokine</th>
<th valign="top" align="center">Authors</th>
<th valign="top" align="center">N=</th>
<th valign="top" align="center">Tumors</th>
<th valign="top" align="center">Immunotherapy</th>
<th valign="top" align="center">Results</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">TNF-&#x3b1;</td>
<td valign="top" align="left">Tanaka 2017 (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">decreased levels of TNF-&#x3b1; associate with better reactivity</td>
</tr>
<tr>
<td valign="top" align="left">Boutsikou 2018 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">pembrolizumab/nivolumab</td>
<td valign="top" align="left">increased TNF-&#x3b1; levels was correlate with improved response and prolonged survival</td>
</tr>
<tr>
<td valign="top" align="left">Ozawa 2019 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab/pembrolizumb</td>
<td valign="top" align="left">no relationship</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">IFN-&#x3b3;</td>
<td valign="top" align="left">Yamazaki 2017 (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">37</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">higher levels of IFN associate with improved response&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">Boutsikou 2018 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">NCSLC</td>
<td valign="top" align="left">PD-1</td>
<td valign="top" align="left">increased levels of IFN-&#x3b3; correlate with improved response and prolonged survival</td>
</tr>
<tr>
<td valign="top" align="left">Hirashima 2019 (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">29</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">PD-1/CTLA-4</td>
<td valign="top" align="left">low baseline IFN-&#x3b3; level (&lt;10 IU/ml)and decreased IFN-&#x3b3; level&#xa0;associate with progression disease</td>
</tr>
<tr>
<td valign="top" align="left">McNamara 2016 (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="left">*</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">PD-1/PD-L1</td>
<td valign="top" align="left">ability of IFN-&#x3b3; production by peripheral blood lymphocyte correlate&#xa0;with survival</td>
</tr>
<tr>
<td valign="top" align="left">Costantini 2018 (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="left">43</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">no correlation with baseline or variation&#xa0;IFN-&#x3b3; levels</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">IL-6</td>
<td valign="top" align="left">Yamazaki 2017 (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">higher IL-6 levels associate&#xa0;with improved response</td>
</tr>
<tr>
<td valign="top" align="left">Hardy-Werbin 2019 (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="left">84</td>
<td valign="top" align="left">SCLC</td>
<td valign="top" align="left">ipilimumab+chemotheray</td>
<td valign="top" align="left">baseline IL-6 levels lower than cut-off(3.65pg/ml)&#xa0;associate with higher OS</td>
</tr>
<tr>
<td valign="top" align="left">Laino 2020 (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">1296</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab/ipilimumab</td>
<td valign="top" align="left">higher baseline IL-6 levels associate with shorter survival</td>
</tr>
<tr>
<td valign="top" align="left">Ozawa 2019 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">10</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab/pembrolizumb</td>
<td valign="top" align="left">elevated IL-6 or CRP associate with higher response rate</td>
</tr>
<tr>
<td valign="top" align="left">Tsukamoto 2018 (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">*</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">increased IL-6 levels associate with tumor progression</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">IL-8</td>
<td valign="top" align="left">Boutsikou 2018 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab/pembrolizumab</td>
<td valign="top" align="left">increased levels of IL-8 correlate with prolonged OS</td>
</tr>
<tr>
<td valign="top" align="left">Agullo-Ortuno 2020 (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab</td>
<td valign="top" align="left">increased levels of IL-8 associate with poor OS</td>
</tr>
<tr>
<td valign="top" align="left">Sanmamed 2017 (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">29</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">nivolumab/pembrolizumab</td>
<td valign="top" align="left">early increased IL-8 levels (2-4 weeks after anti-PD-1) associate with lower response rate</td>
</tr>
<tr>
<td valign="top" align="left">Hardy-Werbin 2019 (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="left">84</td>
<td valign="top" align="left">SCLC</td>
<td valign="top" align="left">chemotherapy plus ipilimumab</td>
<td valign="top" align="left">high level of IL-8 (&#x2265;13.82pg/mL) correlate&#xa0;with worse OS</td>
</tr>
<tr>
<td valign="top" align="left">Yuen 2020 (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="left">1445</td>
<td valign="top" align="left">UC, RCC</td>
<td valign="top" align="left">atezolizumab</td>
<td valign="top" align="left">high baseline levels of IL-8 correlate with poor efficiency</td>
</tr>
<tr>
<td valign="top" align="left">Schalper 2020 (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">1344</td>
<td valign="top" align="left">NSCLC, RCC</td>
<td valign="top" align="left">Nivolumab/nivolumab plus&#xa0;ipilimumab</td>
<td valign="top" align="left">high baseline levels of IL-8 associate with poor efficiency, cut-off (23pg/mL)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TGF-&#x3b2;</td>
<td valign="top" align="left">Feun 2019 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">HCC</td>
<td valign="top" align="left">Pembrolizumab</td>
<td valign="top" align="left">TGF-&#x3b2;&#x2265;200pg/mL&#xa0;assign as a poor indicator of response</td>
</tr>
<tr>
<td valign="top" align="left">Mariathasan 2018 (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="left">*</td>
<td valign="top" align="left">MUC</td>
<td valign="top" align="left">atezolizumab</td>
<td valign="top" align="left">increased TGF-&#x3b2; ligand1 (TGF-&#x3b2;1) and TGF-&#x3b2; receptor2 (TGF-&#x3b2;R2) levels correlate with poor response</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TNF, tumor necrosis factor; IFN, interferon; IL, interleukin; TGF, transforming growth factor; M, melanoma; NSCLC, non-small cell lung cancer; UC, urothelial carcinoma; RCC, renal cell carcinoma; HCC, hepatocellular carcinoma; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.</p>
</fn>
<fn>
<p>*mouse model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinical studies of the association of ICT irAEs with cytokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cytokine</th>
<th valign="top" align="center">Authors</th>
<th valign="top" align="center">N=</th>
<th valign="top" align="center">Tumors</th>
<th valign="top" align="center">Immunotherapy</th>
<th valign="top" align="center">Results</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="5" align="left">IL-6</td>
<td valign="top" align="left">Tanaka 2017 (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Nivolumab</td>
<td valign="top" align="left">increased levels of IL-6 associate&#xa0;with psoriasiform dermatitis</td>
</tr>
<tr>
<td valign="top" align="left">Okiyama 2017 (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">Nivolumab/Pembrolizumab</td>
<td valign="top" align="left">increased levels of IL-6 associate&#xa0;with psoriasiform dermatitis</td>
</tr>
<tr>
<td valign="top" align="left">Ozawa 2019 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">NSCLC</td>
<td valign="top" align="left">Ipilimumab</td>
<td valign="top" align="left">increased IL-6 level correlate with SAE rate</td>
</tr>
<tr>
<td valign="top" align="left">Chaput 2017 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">ipilimumab</td>
<td valign="top" align="left">low baseline IL-6, IL-8, and sCD25 associate with colitis</td>
</tr>
<tr>
<td valign="top" align="left">Valpione 2018 (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">M</td>
<td valign="top" align="left">ipilimumab</td>
<td valign="top" align="left">low baseline IL-6 level act as independent predicted factor</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IL, interleukin; M, melanoma; NSCLC, non-small cell lung cancer.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Preclinical studies targeted the combination of TNF and ICIs have received improved prognosis. For instance, compared to anti-PD-1 alone, the combination of anti-PD-1 and a TNF/TNFR1 gene defect or TNF blockade had better therapeutic benefit (75% survival <italic>versus</italic> &lt;20% survival) in melanoma and lung cancer mouse models (<xref ref-type="bibr" rid="B31">31</xref>). Moreover, TNF inhibitor enalapril or anti-TNF monoclonal antibody decreased the risk of hepatitis and colitis induced by double checkpoint inhibition (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Anti-TNF antibodies, such as etanercept and infliximab, have been used in clinic to treat serious irAEs (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>).</p>
</sec>
<sec id="s3">
<title>IFN-&#x3b3;</title>
<p>Interferon-&#x3b3; (IFN-&#x3b3;) is a soluble cytokine dimer named for its ability to interfere with the growth of live viruses (<xref ref-type="bibr" rid="B67">67</xref>). IFN-&#x3b3; is mainly produced by NK cells (<xref ref-type="bibr" rid="B68">68</xref>), activated T cells (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>), B cells (<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B72">72</xref>), and antigen-presenting cells [macrophages (<xref ref-type="bibr" rid="B73">73</xref>), monocytes (<xref ref-type="bibr" rid="B74">74</xref>), and dendritic cells (<xref ref-type="bibr" rid="B75">75</xref>)]. JAK/STAT is the main signaling pathway that mediates interferon-induced gene expression. IFN-&#x3b3; binds to the cell surface receptors and triggers phosphorylation of JANUS family kinases JAK1 and JAK2. This phosphorylation activates signal transducer and transcriptional activator (STAT) protein. Response genes (e.g., IRF1) induced by STAT1 signaling enhance the transcription of the secondary response genes (<xref ref-type="bibr" rid="B76">76</xref>). IFN-&#x3b3; is a multipotent cytokine with antiviral, proinflammatory, and immunomodulatory functions (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>).</p>
<p>Recently, the role of IFN-&#x3b3; in the prediction of the efficacy of immunotherapy was evaluated. A phase II clinical trial (<xref ref-type="bibr" rid="B49">49</xref>) of MM patients treated with nivolumab indicated that serum IFN levels in patients with responders (CR/PR were significantly higher than those in non-responders (PD) (P&lt;0.0001). And a study reported increased levels of IFN-&#x3b3; after 3 months of anti-PD-1 inhibitors treatment in 26 NSCLC patients was correlated with improved response and prolonged survival(P=0.002) (<xref ref-type="bibr" rid="B21">21</xref>). Another study of NSCLC patients who received ICIs showed low baseline IFN-&#x3b3; level (&lt;10 IU/ml)and decreased IFN-&#x3b3; level after ICI treatment was associated with progression disease and immunotherapy-induced pneumonitis (<xref ref-type="bibr" rid="B50">50</xref>). Above all, increased levels of IFN-&#x3b3; may acted as a positive biomarker for ICI therapy response. In fact, IFN-&#x3b3; modulated the tumor micro-environment of ICI therapy (<xref ref-type="bibr" rid="B80">80</xref>). Damage of IFN-&#x3b3; stimulus response is correlated with both primary and acquired resistance to ICI therapy (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>). In a mouse model, the ability of IFN-&#x3b3; production by peripheral blood lymphocyte was significantly was a potent biomarker for survival of double PD-1/CTLA-4 blockade (<xref ref-type="bibr" rid="B51">51</xref>). However, Costantini et&#xa0;al. reported no correlation between baseline or variation IFN-&#x3b3; level with 43 advanced NSCLC patients treated with nivolumab (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>In addition, several clinical studies have shown that IFN-&#x3b3; gene signature is related to prognosis. Brandon et&#xa0;al. showed that in advanced NSCLC, patients with four genetic IFN-&#x3b3;<sup>+</sup> signatures (interferon &#x3b3;, CD274, LAG3, and CXCL9) had longer median OS (18.1-22.7m <italic>vs</italic> 6.5-7.7m) and six-fold higher objective remission rate (ORR) regardless of the immunohistochemical (IHC) PD-L1 status (<xref ref-type="bibr" rid="B83">83</xref>). In Keynote-012 clinical trial (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>), the average levels of six interferon-gamma-related genes (CXCL9, CXCL10, IDO1, IFNG, HLA-DRA, and STAT1) were associated with OS (p=0.0047) and PFS (p=0.0009) in patients with head and neck squamous cell carcinoma and gastric cancer treated with pembrolizumab. Moreover, the results of a phase II randomized controlled trial (<xref ref-type="bibr" rid="B86">86</xref>) showed high levels of the expression of IFN-&#x3b3;-associated genes had longer survival in patients treated with atezolizumab. Thus, high expression of IFN-&#x3b3; gene may predict a good prognosis of ICIs.</p>
<p>The potential mechanism of the relationship between IFN-&#x3b3; and the response to ICIs has been demonstrated. ICIs promote the&#xa0;production of IFN-&#x3b3;; then, IFN-&#x3b3; increases tumor immunogenicity, inhibits tumor cell proliferation, and enhances the cytotoxic function of NK cells and CTL (<xref ref-type="bibr" rid="B87">87</xref>&#x2013;<xref ref-type="bibr" rid="B90">90</xref>). Additionally, IFN-&#x3b3; induces the secretion of CXCL9 and CXCL10 chemokines that recruit additional tumor-reactive T cells (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B90">90</xref>). Moreover, IFN-&#x3b3; released by T cells stimulates neighboring dendritic cells (DCs) to produce IL-12, which in turn promotes the production of IFN-&#x3b3; and forms a positive feedback loop (<xref ref-type="bibr" rid="B91">91</xref>). Moreover, IFN-&#x3b3; induces the expression of inhibitory receptor LAG3 (lymphocyte-activation gene 3), which mainly expressed on dysfunctional or depleted T cells and induces immunosuppression. Regulatory T cells (Tregs) are a functional subset of suppressor T cells that suppress anti-tumor immunity. IFN-&#x3b3; produced by Nrp1-deficient (Nrp1<sup>-/-</sup>) Tregs decreases the stability of surrounding wild-type Tregs and enhances anti-tumor immunity (<xref ref-type="bibr" rid="B92">92</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Potential mechanisms of IFN-&#x3b3; predicting the prognosis of ICIs. The production of IFN-&#x3b3; induces the increase of chemokine CXCL9 and CXCL10, which recruits more tumor reactive T cells and increased the level of IFN-&#x3b3;. IFN-&#x3b3; released by T cells stimulates neighboring dendritic cells (DCs) to produce IL-12, which in turn promotes the production of IFN-&#x3b3; and forms a positive feedback loop. IFN- &#x3b3; induces LAG3 which mainly express on dysfunctional or depleted T cells and induce immunosuppression. The fragility of Treg driven by IFN-&#x3b3; produced by intratumoral Nrp1-/- treg limits the activity of CD4+Treg cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-12-670391-g001.tif"/>
</fig>
</sec>
<sec id="s4">
<title>IL-6</title>
<p>Interleukin-6 (IL-6) is produced by fibroblasts, monocytes/macrophages, T lymphocytes, B lymphocytes, epithelial cells, and a variety of tumor cells (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>). IL-6 is involved in cell survival, growth, immune regulation, and inflammation <italic>via</italic> the JAK/STAT signaling pathway (<xref ref-type="bibr" rid="B95">95</xref>). Moreover, IL-6 signaling plays a key role in carcinogenesis, inhibition of antitumor immunity, and promotion of tumor transmission in tumor environment (<xref ref-type="bibr" rid="B96">96</xref>&#x2013;<xref ref-type="bibr" rid="B100">100</xref>). An increase in IL-6 is detected earlier than that in other cytokines and lasts for a long time during inflammatory reactions. Therefore, IL-6 can be used in early diagnosis of acute infection to evaluate the severity of an infection and prognosis. Drugs targeting IL-6, IL-6 receptors, or JAK have been approved by the FDA for the treatment of multicentric Casterman disease (siltuximab), arthritis (tocilizumab), and CART-induced CRS.</p>
<p>Several studies demonstrated associations between baseline IL-6 level and ICI response. Yamazaki et&#xa0;al. showed the IL-6 level pretreatment in responders (CR/PR) was remarkably higher than those in non-responders (PD) in 35 advanced MM patients treated with nivolumab (P=0.0007) (<xref ref-type="bibr" rid="B49">49</xref>). However, a study by Hardy-Werbin et&#xa0;al. reported the baseline IL-6 level lower than cut-off (3.65pg/ml) was significantly associated with higher OS compared with those with lower level (18.5m <italic>vs</italic> 9.5m) in patients treated with ipilimumab and chemotherapy (P=0.026) (<xref ref-type="bibr" rid="B53">53</xref>). And another study showed a similar result in which higher baseline IL-6 levels was associated with shorter survival (<xref ref-type="bibr" rid="B54">54</xref>). Overall, baseline IL-6 level was a strong prognostic marker of ICI treatment. In view of the limitations of small number patients and different types of ICI, the relationship between them needed further prospective clinical exploration. Furthermore, association between changes of IL-6 were also studied. Ozawa et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) investigated the early changes in the cytokines (0-7 days before the treatment and after the treatment) with response in NSCLC patients treated with nivolumab. The response rate in patients with elevated IL-6 or CRP was 46%, which was significantly higher than that in patients with no increase (0%). A study by Tsuka-moto et&#xa0;al. reported that increased IL-6 levels were associated with tumor progression in melanoma patients treated with nivolumab (<xref ref-type="bibr" rid="B55">55</xref>). These findings suggest that increased level of IL-6 was a negative biomarker of prognosis with ICI treatment. Notably, combined anti-IL-6 and ICI treatment showed synergistic anti-tumor activity and improved prognosis, which helps to confirm the negative role of IL-6 in immunotherapy (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B101">101</xref>, <xref ref-type="bibr" rid="B102">102</xref>). And studies reported that IL-6 induced production of myeloid-derived suppressor cells (MDSCs) and resulted in immunosuppressive, which may explain the above phenomenon (<xref ref-type="bibr" rid="B103">103</xref>).</p>
<p>Associations of IL-6 with irAEs were also been studied extensively. Two studies reported increased level of IL-6 after nivolumab treatment was associated with psoriasiform dermatitis in patients with malanoma (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B62">62</xref>). Tanaka et&#xa0;al. reported increased level of IL-6 was associated with higher incidence of psoriasis (p=0.018) in melanoma patients treated with nivolumab (<xref ref-type="bibr" rid="B40">40</xref>). SAEs rate in NSCLC patients treated with PD-1 inhibitors was 43% <italic>vs</italic> 0% in the group with increased IL-6 level compared to the normal IL-6 level group (<xref ref-type="bibr" rid="B45">45</xref>). Notably, a case report by Yoshino et&#xa0;al. showed decreased level of IL-6 and CRP accompanied with the clinical remission of colitis after corticosteroid treatment (<xref ref-type="bibr" rid="B104">104</xref>). In summary, the increased IL-6 level after ICIs treatment was an efficient biomarker for irAEs. Additionally, low baseline IL-6 level may use as a predictor for irAEs. Chaput et&#xa0;al. reported low baseline IL-6, IL-8, and sCD25 was associated with colitis related to ipilimumab treatment in melanoma patients (<xref ref-type="bibr" rid="B63">63</xref>). And another study by Valpione et&#xa0;al. showed low baseline IL-6 level act as independent predicted factor for irAEs (P=0.007) (<xref ref-type="bibr" rid="B64">64</xref>). In summary, high baseline level of IL-6 was a risk marker for irAEs, but the cut-off of high level needed further definition by more clinical trials. The elevation of IL-6 after ICI application may indicate the immune-sensitive individuals and play a predictive role before the occurrence of irAEs.</p>
<p>Interestingly, the association of irAEs and response was investigated by several studies (<xref ref-type="bibr" rid="B105">105</xref>&#x2013;<xref ref-type="bibr" rid="B108">108</xref>). ORR in NSCLC patients with irAEs was reported higher than that in patients without irAEs (63.6% <italic>versus</italic> 7.4%, p &lt;0.01) (<xref ref-type="bibr" rid="B109">109</xref>). Another study showed that patients with AE after nivolumab treatment had better ORR (37% <italic>versus</italic> 17%, p=0.17) and longer median PFS (6.4 <italic>versus</italic> 1.5 months, p=0.01) than those with no irAEs (<xref ref-type="bibr" rid="B108">108</xref>). The mechanism of associations of irAEs with response are unclear and need further investigation. Similar to cytokine release syndrome (CRS) after adoptive T cell therapy, ICIs may lead to hyper-physiological levels of proinflammatory cytokines, especially IL-6, resulting in irAEs.</p>
</sec>
<sec id="s5">
<title>IL-8</title>
<p>Interleukin-8 (IL-8), also known as CXCL8, is a proinflammatory chemokine whose function was mediated by binding to two cell-surface G protein coupled receptors, termed CXCR1 and CXCR2 (<xref ref-type="bibr" rid="B110">110</xref>, <xref ref-type="bibr" rid="B111">111</xref>). lL-8 was produced by immune cells (including macrophages, neutrophils and T cells) and non-immune cells (including epithelial and endothelial cells) (<xref ref-type="bibr" rid="B112">112</xref>, <xref ref-type="bibr" rid="B113">113</xref>). IL-8 is identified as a neutrophil-activating cytokine and stimulated by hypoxia/anoxia, death receptors (Fas, DR5), and a variety of cellular stresses (<xref ref-type="bibr" rid="B114">114</xref>). Literatures reported IL-8 expression was higher in various tumor than healthy tissues (<xref ref-type="bibr" rid="B115">115</xref>). In addition, IL-8-CXCR1/2 pathway play an important role in tumor progression and metastasis (<xref ref-type="bibr" rid="B116">116</xref>), and activating proliferation of endothelial cells in tumor vasculature and induced vascular building was mainly mechanism (<xref ref-type="bibr" rid="B117">117</xref>).</p>
<p>Boutsikou et&#xa0;al. reported that increased level of IL-8 (3 months after immunotherapy) was correlated with prolonged OS (P=0.015) in 26 NSCLC patients treated with first or second line anti-PD-1 (nivolumab or pembrolizumab) (<xref ref-type="bibr" rid="B21">21</xref>). With controversial result, A study showed the increased level of IL-8 (2 months after immunotherapy) was associated with poor OS (P=0.025) (<xref ref-type="bibr" rid="B56">56</xref>). Sanmamed et&#xa0;al. analyzed early increased IL-8 level(2-4 weeks after anti-PD-1) was associated with lower response rate in patients with MM (P&lt;0.001) and NSCLC (P=0.001) with high sensitivity and specificity (<xref ref-type="bibr" rid="B57">57</xref>). Significantly, IL-8 level maintains a level below the baseline when tumor with pseudo-progression, but progressively increased when tumor with a real progression. These findings consist with the conclusion that IL-8 level reflect the tumor burden (<xref ref-type="bibr" rid="B118">118</xref>).</p>
<p>The relationship between baseline IL-8 levels have also been discussed. Higher baseline levels of IL-8 were associated with poor OS in SCLC patients whatever treated with chemotherapy alone (n=47) or chemotherapy plus ipilimumab (n=37). In ipilimumab cohort, patients with high level of IL-8 (&#x2265;13.82pg/mL) had a worse median OS (5.3m <italic>vs</italic> 17m) (<xref ref-type="bibr" rid="B53">53</xref>). In the study by Yuen et&#xa0;al. demonstrated that high baseline levels of IL-8 were correlated with poor efficiency by evaluating 1445 patients in metastatic urothelial carcinoma (mUC) and metastatic renal cell carcinoma (mRCC) from three large atezolizumab trails (<xref ref-type="bibr" rid="B58">58</xref>). Similar results were acted by assessing 1344 patients (NSCLC and RCC) treated with nivolumab or nivolumab plus ipilimumab and determined cut-off (23pg/mL) may guide clinical application of ICIs (<xref ref-type="bibr" rid="B59">59</xref>). High baseline and early increased IL-8 levels may act as a strong negative biomarker for ICI therapy.</p>
</sec>
<sec id="s6">
<title>TGF-&#x3b2;</title>
<p>Transforming growth factor-&#x3b2; (TGF-&#x3b2;) induces transformation and growth of certain fibroblasts in combination with epidermal growth factor (EGF) (<xref ref-type="bibr" rid="B119">119</xref>). In addition to TGF-&#x3b2;, the TGF-&#x3b2; superfamily includes activin, inhibin, bone morphogenetic protein (BMP), and growth and differentiation factor (GDF). Cells with active differentiation often contain high levels of TGF-&#x3b2;, including osteoblasts, kidney, bone marrow, and fetal liver hematopoietic cells. Activated T cells, B cells, and numerous types of tumor cells can secrete TGF-&#x3b2;. TGF-&#x3b2; receptors (TGF-&#x3b2;R), including types I, II, and III, are involved in signal transduction. Typical TGF-&#x3b2; signal transduction includes TGF-&#x3b2; binding to TGF-&#x3b2;RII, which recruits and phosphorylates TGF-&#x3b2;RI. Then, these receptors phosphorylate smad2, smad3, and smad4 to induce gene transcription and expression (<xref ref-type="bibr" rid="B120">120</xref>, <xref ref-type="bibr" rid="B121">121</xref>). TGF-&#x3b2; signal can be transduced by the MAPK, PI3K, and Rho-GTP pathways (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B123">123</xref>). The TGF-&#x3b2; pathway plays an important role in the regulation of cell proliferation, growth, differentiation, apoptosis, and autoimmunity (<xref ref-type="bibr" rid="B124">124</xref>). Due to the diversity of TGF-&#x3b2; functions, dysfunctions of the TGF-&#x3b2; signal transduction are associated with many diseases, including systemic sclerosis, fibrosis, hereditary diseases, and cancer (<xref ref-type="bibr" rid="B125">125</xref>&#x2013;<xref ref-type="bibr" rid="B129">129</xref>).</p>
<p>TGF-&#x3b2; has been shown to be associated with ICI response. A prospective phase II study showed mean TGF-&#x3b2; levels was higher in non-responders than responders (1071.8&#xa0;pg/mL <italic>vs</italic> 141.9&#xa0;pg/mL) in 24 patients with advanced liver cancer treated with pembrolizumab. And TGF-&#x3b2;&#x2265;200pg/mL was assigned as a poor indicator of response with pembrolizumab (<xref ref-type="bibr" rid="B60">60</xref>). The median PFS in patients with TGF-&#x3b2; levels &lt;200 pg/mL compared with TGF-&#x3b2; level &#x2265;200 pg/mL was 2 months <italic>versus</italic> &gt;25 months. Mariathasan et&#xa0;al. reported increased TGF-&#x3b2; ligand1 (TGF-&#x3b2;1) and TGF-&#x3b2; receptor2 (TGF-&#x3b2;R2) levels was correlated with non-response (P=0.00011) and OS (P=0.0096) in patients with metastatic urothelial cancer (MUC) treated with atezolizumab (<xref ref-type="bibr" rid="B61">61</xref>). To sum up, increased TGF-&#x3b2; level acted as a negative biomarker of response of ICIs treatment. In general, TGF-&#x3b2; plays an inhibitory role in normal cells and early cancer cells, including cell cycle arrest and apoptosis (<xref ref-type="bibr" rid="B122">122</xref>). However, in advanced cancer, TGF-&#x3b2; can be used as a cancer-promoting factor to enhance tumorigenesis, including immunosuppression, tumor metastasis, and drug resistance (<xref ref-type="bibr" rid="B128">128</xref>, <xref ref-type="bibr" rid="B129">129</xref>). Several studies have shown that the abnormal TGF-&#x3b2; signaling pathway may affect immune regulation, including antigen presentation, differentiation of CD4 Th1 cells, infiltration and proliferation of CD8<sup>+</sup> T cells, and production of long-term memory T cells (<xref ref-type="bibr" rid="B130">130</xref>&#x2013;<xref ref-type="bibr" rid="B134">134</xref>). These effects may result in low response and poor prognosis of ICT.</p>
<p>A combination of anti-PD-L1 and TGF-&#x3b2; antibody was studied to determine the negative effects of TGF-&#x3b2; on ICT in several studies. In a mouse model of urothelial cancer (UC) (<xref ref-type="bibr" rid="B61">61</xref>), combined application of anti-PD-L1 and TGF-&#x3b2; antibody reduced TGF-&#x3b2; signal transduction in stromal cells and promoted T cell into the tumor. An increased number of infiltrating CD8<sup>+</sup> T cells resulted in tumor suppression. In addition, ICI monotherapy produce unsatisfactory results in phase II and III trials (<xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B136">136</xref>). However, Jiao et&#xa0;al. (<xref ref-type="bibr" rid="B137">137</xref>) demonstrated that anti-CTLA-4 combined with anti-TGF-&#x3b2; therapy enhances the response to ICI therapy in a bone metastasis model of CRPC. Similarly, ICI combined with TGF-&#x3b2; antibody resulted in improved prognosis compared to that in ICI monotherapy in the experiments (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B138">138</xref>). Interestingly, Lan et&#xa0;al. (<xref ref-type="bibr" rid="B139">139</xref>) designed a novel bifunctional drug M7824 which composed of PD-L1 monoclonal antibody and the extracellular domain of human TGF-&#x3b2;RII. M7824 is anti-PD-L1 and promote the activation of CD8<sup>+</sup>T cells and NK cells resulting in a higher OS and PFS (<xref ref-type="bibr" rid="B139">139</xref>, <xref ref-type="bibr" rid="B140">140</xref>).</p>
</sec>
<sec id="s7">
<title>Other IL Family Members</title>
<p>The relationships between IL family members, including IL-1&#x3b2;, IL-2, IL-4 and IL-10, and ICT response were evaluated in a number of studies. Boutsikou et&#xa0;al. assayed cytokines by flow cytometry in patients with NSCLC receiving pembrolizumab or nivolumab before treatment and 3 months after the treatment. The results showed that an increase in the levels of IL-1&#x3b2; (p=0.038), IL-2 (p=0.011), IL-4 (p=0.018), IL-6 (p=0.014), IFN-&#x3b3; (p=0.00), and TNF-&#x3b1; (p=0.006) was associated with increased response rate (RR) (<xref ref-type="bibr" rid="B21">21</xref>). In another study, 65 cytokines were profiled in patients with unresectable stage III or IV melanoma treated with anti-PD-1 monotherapy (cohort 1) or anti-PD-1 plus anti-CTLA-4 (cohort 2). The results showed that the expression levels of IL-2 (p=0.041) in cohort 1 and TNF-&#x3b1; (p=0.0189) in cohort 2 were associated with OS (<xref ref-type="bibr" rid="B22">22</xref>). Additionally, several studied validated that high baseline levels of IL-2 and IL-4 are correlated with higher OS (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Studies summary is in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Increased cytokines mentioned after ICT related to better response and OS. Generally elevated levels of cytokines may reveal extensive immune activity, therefore, predicting good prognosis. Moreover, depletion of TILs is one of the possibly reason for patients with ICIs ineffectiveness (<xref ref-type="bibr" rid="B142">142</xref>). A study reported that IL-10&#x2013;Fc enhanced immunotherapies by accelerating oxidative phosphorylation (OXPHOS) to reactive T cells and directly expand terminally exhausted CD8+ TILs (<xref ref-type="bibr" rid="B143">143</xref>). And in microsatellite stable (MSS) colorectal cancer (CRC) mouse models, IL-17A blocking combined with ICIs showed improved efficiency (<xref ref-type="bibr" rid="B144">144</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Clinical studies of the association of ICT response with other cytokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Authors</th>
<th valign="top" align="center">N=</th>
<th valign="top" align="center">Tumors</th>
<th valign="top" align="center">Immunotherapy</th>
<th valign="top" align="center">Cytokines</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Boutsikou 2018 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">26</td>
<td valign="top" align="left">NSCLC</td>
<td valign="top" align="left">nivolumab/pembrolizumab</td>
<td valign="top" align="left">IL-1&#x3b2;, IL-2, IL-4, IL-6, IL-8, IFN-&#x3b3;, TNF-&#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">Lim 2019 (<xref ref-type="bibr" rid="B141">141</xref>)</td>
<td valign="top" align="center">147</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">PD-1+CTLA-4</td>
<td valign="top" align="left">IL-2, IL-8, TNF-&#x3b1;</td>
</tr>
<tr>
<td valign="top" align="left">Hardy-Werbin 2019 (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center">84</td>
<td valign="top" align="left">SCLC</td>
<td valign="top" align="left">chemotherapy plus ipilimumab</td>
<td valign="top" align="left">IL-2, TNF-&#x3b1;, IL-8, IL-4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NSCLC, non-small-cell lung cancer; M, melanoma; SCLC, small-cell lung cancer; IL, interleukin; IFN, interferon; TNF, tumor necrosis factor; PD-1, programmed cell death protein 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The associations of the levels of IL and irAEs were also investigated. Tarhini et&#xa0;al. demonstrated that elevated baseline IL-17 levels were significantly associated with high risk of grade 3 diarrhea or colitis (p=0.02) in patients with advanced melanoma receiving neoadjuvant ipilimumab therapy (<xref ref-type="bibr" rid="B145">145</xref>). In another study, increased 11 cytokines (G-CSF, GM-CSF, fractalkine, FGF-2, IFN&#x3b1;2, IL-12p70, IL-1a, IL-1&#x3b2;, IL-1RA, IL-2, and IL-13) were all associated with severe toxicity and they integrated a CYTOX (cytokine toxicity) score which with AUC 0.68 at PRE (95% CI, 0.51-0.84, p=0.037) and 0.70 at EDT (95% CI, 0.55-0.85, p=0.017) (<xref ref-type="bibr" rid="B141">141</xref>). Additionally, a study reported that decreased IL-10 level in patients after anti-CTLA-4 treatment was associated with pancreatitis and uveitis, but the level of IFN-&#x3b3; was not associated with irAEs (<xref ref-type="bibr" rid="B146">146</xref>). <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> lists these studies. To sum up, these studies demonstrated lower baseline and increased levels of extensively cytokines after ICI treatment were associated with irAEs.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Clinical studies of the association of ICT irAEs with other cytokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Authors</th>
<th valign="top" align="center">N=</th>
<th valign="top" align="center">Tumors</th>
<th valign="top" align="center">Immunotherapy</th>
<th valign="top" align="center">Cytokines</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Tarhini 2015 (<xref ref-type="bibr" rid="B145">145</xref>)</td>
<td valign="top" align="center">147</td>
<td valign="top" align="left">M</td>
<td valign="top" align="left">PD-1+CTLA-4</td>
<td valign="top" align="left">CYTOX score(G-CSF,GM-CSF,Fractalkine,FGF-2,IFN&#x3b1;2, IL-12p70, IL-1a, IL-1&#x3b2;, IL-1RA, IL-2, IL-13)</td>
</tr>
<tr>
<td valign="top" align="left">Lim 2019 (<xref ref-type="bibr" rid="B141">141</xref>)</td>
<td valign="top" align="center">65</td>
<td valign="top" align="left">no limit</td>
<td valign="top" align="left">PD-1/PD-L1/CTLA-4</td>
<td valign="top" align="left">CXCL9, CXCL10, CXCL11, CXCL19</td>
</tr>
<tr>
<td valign="top" align="left">Sun 2008 (<xref ref-type="bibr" rid="B146">146</xref>)</td>
<td valign="top" align="center">16</td>
<td valign="top" align="left">bladder cancer</td>
<td valign="top" align="left">CTLA-4</td>
<td valign="top" align="left">IL-10</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>M, melanoma; G-CSF, granulocyte colony-stimulating Factor; GM-CSF, granulocyte-macrophage colony-stimulating factor; FGF, fibroblast growth factor; IL, interleukin; CXCL, C-X-C motif chemokine ligand; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s8">
<title>Conclusion</title>
<p>Low efficiency and high irAEs occurrence urgently require biomarkers to identify patients that benefit from the immune checkpoint inhibitors therapy. Cytokines produced by immune cells and tumor cells in the tumor microenvironment may acted as a suitable candidate biomarker due to its no-invasive obtaining, easy for dynamic monitoring and cost-effective. The investigations of TNF-&#x3b1;, IFN-&#x3b3;, IL-6, IL-8, TGF-&#x3b2; and other cytokines as predictors of the responses and adverse events of ICT produced encouraging results. Increased level of IFN-&#x3b3; and IFN-&#x3b3; pathway genes always acted as positive biomarkers for response and irAEs, while high baseline and increased level of IL-8, increased level of IL-6 and TGF-&#x3b2; was negative biomarkers. TNF-&#x3b1;was generally regarded as an negative biomarker, but its predictive function is needed further exploration. Negative cytokines in the tumor microenvironment induce immunosuppression and even adverse reactions in ICT by regulating T cells, B cells, and related immune checkpoints. Thus, the combinations of cytokine drugs and ICIs improved prognosis and resulted in a number of ongoing clinical trials. However, it is unlikely a single cytokine will be sufficient to predict immunotherapy response and irAEs for the complexity of TME and interaction between cytokines. In future, development of multifactorial synergistic predictive markers is necessary to achieve individualized treatment and minimize adverse reactions.</p>
</sec>
<sec id="s9">
<title>Author Contributions</title>
<p>HZ designed the study. MW collected literatures together with XZ and SX and drafted the manuscript. JG and JL coordinated. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by Innovation Project of Shandong Academy of Medical Sciences (2019-04) and the Academic Promotion Program of Shandong First Medical University [grant number: 2019ZL002]; the National Natural Science Foundation of China [grant number: 81972862]; and CSCO-Pilot Cancer Research Fund [grant number: Y-2019AZZD-0352]; and Key Research and Development Program of Shandong Province: Study on the role and mechanism of myocardial -AR in cardiac radiation injury [grant number: 2018GSF118067].</p>
</sec>
<sec id="s11" 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>
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