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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.2024.1357333</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>Engaging stimulatory immune checkpoint interactions in the tumour immune microenvironment of primary liver cancers &#x2013; how to push the gas after having released the brake</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rakk&#xe9;</surname>
<given-names>Yannick S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2336204"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Buschow</surname>
<given-names>Sonja I.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>IJzermans</surname>
<given-names>Jan N. M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sprengers</surname>
<given-names>Dave</given-names>
</name>
<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/1396512"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Surgery, Erasmus MC-Transplant Institute, University Medical Center</institution>, <addr-line>Rotterdam</addr-line>, <country>Netherlands</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Gastroenterology and Hepatology, Erasmus MC-Cancer Institute-University Medical Center</institution>, <addr-line>Rotterdam</addr-line>, <country>Netherlands</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jesse Haramati, University of Guadalajara, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Karim Amrane, Morlaix Hospital, France</p>
<p>Suresh Kalathil, University at Buffalo, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Dave Sprengers, <email xlink:href="mailto:d.sprengers@erasmusmc.nl">d.sprengers@erasmusmc.nl</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1357333</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Rakk&#xe9;, Buschow, IJzermans and Sprengers</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Rakk&#xe9;, Buschow, IJzermans and Sprengers</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>Hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) are the first and second most common primary liver cancer (PLC). For decades, systemic therapies consisting of tyrosine kinase inhibitors (TKIs) or chemotherapy have formed the cornerstone of treating advanced-stage HCC and CCA, respectively. More recently, immunotherapy using immune checkpoint inhibition (ICI) has shown anti-tumour reactivity in some patients. The combination regimen of anti-PD-L1 and anti-VEGF antibodies has been approved as new first-line treatment of advanced-stage HCC. Furthermore, gemcibatine plus cisplatin (GEMCIS) with an anti-PD-L1 antibody is awaiting global approval for the treatment of advanced-stage CCA. As effective anti-tumour reactivity using ICI is achieved in a minor subset of both HCC and CCA patients only, alternative immune strategies to sensitise the tumour microenvironment of PLC are waited for. Here we discuss immune checkpoint stimulation (ICS) as additional tool to enhance anti-tumour reactivity. Up-to-date information on the clinical application of ICS in onco-immunology is provided. This review provides a rationale of the application of next-generation ICS either alone or in combination regimen to potentially enhance anti-tumour reactivity in PLC patients.</p>
</abstract>
<kwd-group>
<kwd>immune checkpoint stimulation</kwd>
<kwd>immunotherapy</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>cholangiocarcinoma</kwd>
<kwd>immunoglobulin superfamily</kwd>
<kwd>tumour necrosis factor receptor superfamily</kwd>
<kwd>receptor super clustering</kwd>
<kwd>bispecific antibody</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="240"/>
<page-count count="26"/>
<word-count count="12543"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Primary liver cancer (PLC), including hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), is the third leading cause of cancer-related death ranking sixth in incidence worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Its incidence is expected to increase in Western society (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Early- or intermediate-stage HCC can be treated successfully using ablative therapy, surgical resection, or liver transplantation while early-stage CCA can be treated using surgical resection only. Moreover, the majority of PLC patients get diagnosed at advanced-stage disease leaving them to no other option than systemic therapies including immune checkpoint inhibitors (ICI) and multi-tyrosine kinase inhibitors (TKIs; e.g., sorafenib, regorafenib) for HCC and chemotherapy for CCA (e.g., cisplatin/gemcitabine, FOLFIRINOX) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). So far, these remaining treatment options for advanced-stage PLC have only shown modest survival benefits and more effective treatment approaches are urgently needed. Next to ICI, engaging immune (co-)stimulatory molecules (i.e., immune checkpoint stimulation (ICS) in the tumour microenvironment alone or combined with other immune enhancing therapies represents a promising novel opportunity. In this review, we first summarise the current knowledge on ICI and its pitfalls in the hepatic tumour immune microenvironment (TIME). Then we provide an overview of insights gained from (pre)clinical studies regarding the interactions between co-stimulatory molecules and their ligands expressed on different T-cell subsets, antigen presenting cells and other cell types in the context of the hepatic TIME. Lastly, we highlight the opportunities to enhance and support currently applied ICI and more targeted immune therapies using ICS in PLC.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Immune checkpoint inhibition fails to induce anti-tumour immunity in the majority of primary liver cancer patients</title>
<p>ICI is often applied in the form of antibodies that interfere with binding of co-inhibitory receptors (i.e., cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), and programmed cell death-1 (PD-1)) and their cognate ligands (CD80/86 and programmed cell death ligand-1 (PD-L1), resp.). ICIs have been shown to effectively enhance pre-existing anti-tumour immune-responses among multiple immune-active cancer types such as melanoma, non-small cell lung cancer, and renal cell carcinoma (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>).Accordingly, anti-PD1 antagonistic antibodies (pembrolizumab and nivolumab, resp.) prolonged survival in advanced-stage HCC patients that did not respond well to TKIs only. However, clinical efficacy of anti-PD1-mediated ICI was modest and failed to sustain its benefit when compared to TKIs directly upon randomisation among TKI-naive HCC patients (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Combination regimen of various ICIs or chemotherapy with ICI appeared to be more successful. Anti-PD-L1 antagonistic antibodies (atezolizumab) with anti-vascular endothelial growth factor (anti-VEGF; bevacizumab) improved overall and progression-free survival (OS and PFS) outcomes compared to the TKI sorafenib (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Similarly, sintilimumab (anti-PD-1) plus IBI305 (bevacizumab biosimilar) improved survival rates compared to sorafenib in Chinese patients with unresectable, hepatitis B virus (HBV)- associated HCC (<xref ref-type="bibr" rid="B13">13</xref>). Moreover, durvalumab (anti-PD-L1) in combination with the anti-CTLA-4 agonistic antibody tremelimumab improved OS compared to sorafenib (<xref ref-type="bibr" rid="B14">14</xref>). As atezolizumab-bevacizumab (atezo-bev) and durvalumab-tremelimumab (durva-trem) were proven to successfully induce clinical anti-tumour efficacy, both regimens have been approved by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA) to treat unresectable HCC patients in the first line of care. Also, in refractory or recurrent CCA, a combination regimen of ICI with chemotherapy was superior to chemotherapy alone. In the TOPAZ-1 trial, durvalumab with gemcibatine plus cisplatin (GEMCIS) improved both OS and PFS compared to chemotherapy with placebo (<xref ref-type="bibr" rid="B15">15</xref>). Based on these data durva-GEMCIS has been granted FDA-approval as first-line standard-of-care in advanced-stage CCA.</p>
<p>Still, even though these immunotherapy combination regimens have proven to successfully induce anti-tumour immunity objective responses could only be confirmed in 20-27% of HCC patients and about 27% of CCA patients (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). This data underlines the complexity of the hepatic tumour immune microenvironment (TIME) potentially explaining inter-patient variation regarding clinical efficacy. Establishment of a suppressive TIME may enable tumour cells to evade and restrain efficient anti-tumour immunity (<xref ref-type="bibr" rid="B16">16</xref>). Compared to adjacent tissue compartments, the hepatic TIME has been shown to be enriched specifically for immune suppressive cells (e.g., regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), tumour-associated macrophages (TAMs)), rather than immune effector cells (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). Furthermore, in HCC and CCA, tumours can be either <italic>inflamed</italic> or <italic>non-inflamed</italic>, but the latter is the dominant phenotype in both settings indicating tumour-immunity may also often be poorly developed (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>) Indeed, the anti-tumour adaptive immunity in PLC has been shown to be hampered by impaired T cell priming and local dysfunction or exhaustion of tumour-infiltrating lymphocytes (TILs) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The notion that combination regimens have proven to be clinically more effective compared to monotherapy in PLC suggests that successful reinvigoration of anti-tumour immunity in PLC might need a multi-factorial approach. Whereas ICI primarily intents to enhance existing cytotoxic CD8 T cell (CTL)-immune effector function, PLC-directed immunotherapies may require inhibition of immune suppressive cells as well. With respect to the latter, bevacizumab has been described to inhibit MDSCs, TAMs, and Tregs and these effects could partly explain its enhanced anti-tumour activity in the atezo-bev regimen (<xref ref-type="bibr" rid="B24">24</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Likewise, combination regimes of ICI with ICS using either agonistic antibodies or ligands targeting costimulatory molecules, could enhance T cell-mediated anti-tumour immunity. These ICS may act through depletion of immune suppressive cells as well as by enhancing the priming and activation of immune effector cells. Thereby, ICS might provide an interesting alternative or supportive immune therapeutic approach in PLC (<xref ref-type="bibr" rid="B25">25</xref>). Recent early phase I clinical trials have reported on the clinical safety and efficacy of ICS used alone or in combination regimes in various advanced solid tumours (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). To now develop more effective combination regimes based on ICI and ICS for the treatment of PLC, a comprehensive overview of the different stimulatory checkpoint mechanisms that might support intra-tumoural T-cell responses and their interplay with immune inhibitory checkpoint mechanisms in PLC is required and this we aim to supply with this review.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Current ICI-based immunotherapies for HCC and (i)CCA can be supported by ICS-based immunotherapies to enhance anti-tumour immunity. Current ICI-based immunotherapies for HCC consist of anti-PD-1/PD-L1 monotherapy, anti-CTLA-4 plus anti-PD-1/PD-L1, anti-PD-L1 plus anti-VEGF; or anti-VEGF plus Gem-Cis for CCA. Novel ICS-based immunotherapies can either provide additional CD4 and CD8 T cell activation, induce depletion of immunosuppressive Tregs, or induce DC maturation. Moreover, ICS-based bispecific antibodies might induce tumour-directed DC activation as well as tumour-restricted CD8 T cell activation and subsequent tumour cell killing via tumour-associated antigen (TAA), viral antigen (viral Ag), or tumour-specific/neoantigen (TSA/neoAg). All can be enhanced by additional release of tumour antigen via locoregional therapies.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1357333-g001.tif"/>
</fig>
</sec>
<sec id="s3">
<label>3</label>
<title>Co-stimulatory immune checkpoints are widely expressed among liver-resident innate and adaptive immune subsets</title>
<p>Stimulatory immune checkpoint interactions are crucial for effective T cell activation. In 1987, CD28 was the first co-stimulatory receptor that was demonstrated to enhance T cell receptor (TCR) signaling, thereby laying the foundation for the <italic>three-signal model of T cell activation</italic> that requires both TCR and co-stimulatory signaling as well as cytokines for full T cell activation and differentiation (<xref ref-type="bibr" rid="B31">31</xref>). Following recognition of the cognate peptide-MHC complex by the TCR, co-signaling receptors co-localise with TCR molecules at the immunological synapse. In contrast to co-inhibitory immune checkpoint interactions that provide feedback inhibitory signals to activated CTL in the effector phase, co-stimulatory interactions rather are important during antigen presentation, priming, and subsequent T cell activation or differentiation (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B32">32</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Co-stimulatory receptors are divided into two distinct groups: immunoglobulin superfamily (IgSF) members and tumour necrosis factor receptor superfamily (TNFRSF) members, and these subclasses are in turn divided according to protein structure and function (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Immune co-stimulatory receptors as divided by IgSF and TNFRSF members are expressed among different immune cell subsets playing various roles in functional T cell engagement.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Receptor family</th>
<th valign="middle" rowspan="2" align="center">Receptor subfamily</th>
<th valign="middle" rowspan="2" align="center">Receptor molecule</th>
<th valign="middle" colspan="2" align="center">Receptor expression</th>
<th valign="middle" rowspan="2" align="center">Ligand</th>
<th valign="middle" rowspan="2" align="center">Ligand expression</th>
<th valign="middle" colspan="6" align="center">Functional T cell engagement</th>
</tr>
<tr>
<th valign="middle" align="center">Immune cell subsets</th>
<th valign="middle" align="center">Pattern</th>
<th valign="middle" align="center">Priming</th>
<th valign="middle" align="center">Expansion</th>
<th valign="middle" align="center">T(h) differentiation</th>
<th valign="middle" align="center">Effector</th>
<th valign="middle" align="center">Survival</th>
<th valign="middle" align="center">Memory</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">CD28</td>
<td valign="middle" align="center">CD28<break/>(Tp44)</td>
<td valign="middle" align="center">CD4<sup>+</sup> (naive/activated) T cell<break/>CD4<sup>+</sup> FoxP3<sup>+</sup> T cell<break/>CD8<sup>+</sup> (naive/activated) T cell</td>
<td valign="middle" align="center">Consitutive</td>
<td valign="middle" align="center">
<bold>
<italic>B7.1 (CD80)</italic>
</bold>, <bold>
<italic>B7.2 (CD86)</italic>
</bold>, B7H2 (ICOSL/B7RP1/CD275)</td>
<td valign="middle" align="center">
<bold>
<italic>DC</italic>
</bold>
<break/>
<bold>
<italic>B cell</italic>
</bold>
<break/>Macrophage<break/>
<bold>
<italic>Monocyte</italic>
</bold>
</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">CD28</td>
<td valign="middle" align="center">ICOS<break/>(CD278/CVID1)</td>
<td valign="middle" align="center">
<bold>
<italic>CD4<sup>+</sup> (activated) T cell</italic>
</bold>
<break/>
<bold>
<italic>CD4<sup>+</sup> FoxP3<sup>+</sup> T cell</italic>
</bold>
<break/>CD8<sup>+</sup> (activated) T cell</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">B7H2<break/>(ICOSL)</td>
<td valign="middle" align="center">
<bold>
<italic>DC</italic>
</bold>
<break/>B cell<break/>Macrophage</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">CD226</td>
<td valign="middle" align="center">CD226<break/>(DNAM1)</td>
<td valign="middle" align="center">
<bold>
<italic>CD4<sup>+</sup>
</italic>
</bold> (activated) <bold>
<italic>T cell</italic>
</bold>
<break/>
<bold>
<italic>CD4<sup>+</sup> FoxP3<sup>+</sup> T cell</italic>
</bold>
<break/>
<bold>
<italic>CD8<sup>+</sup> PD1<sup>-/int</sup> T cell</italic>
</bold>
<break/>NK cell<break/>Monocyte</td>
<td valign="middle" align="center">Constitutive</td>
<td valign="middle" align="center">CD112, CD155</td>
<td valign="middle" align="center">DC<break/>Monocyte<break/>Fibroblast<break/>Endothelial cell<break/>
<bold>
<italic>HCC cancer cell</italic>
</bold>
</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">TIM</td>
<td valign="middle" align="center">TIM-1</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD8<sup>+</sup> T cell<break/>NK cell<break/>
<bold>
<italic>B cell</italic>
</bold>
<break/>Macrophage<break/>DC<break/>Mast cell</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">TIM-4, phophatidylserine</td>
<td valign="middle" align="center">NKT cell<break/>B cell<break/>Mast cell</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">SLAM</td>
<td valign="middle" align="center">CD2</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD8<sup>+</sup> T cell<break/>NK cell<break/>Thymocyte<break/>DC</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">CD58 (LFA3)</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD8<sup>+</sup> T cell<break/>B cell<break/>Monocyte<break/>Granulocyte<break/>Thymic epithelial cell</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">IgSF</td>
<td valign="middle" align="center">SLAM</td>
<td valign="middle" align="center">SLAM-6<break/>(NTB-A)</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD8<sup>+</sup> TFC-1<sup>+</sup> T cell<break/>NK cell<break/>B cell</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">SLAM-6</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD8<sup>+</sup> TFC-1<sup>+</sup> T cell<break/>NK cell<break/>B cell</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-V</td>
<td valign="middle" align="center">4-1BB<break/>(CD137/TNFRSF9)</td>
<td valign="middle" align="center">CD4<sup>+</sup> (activated) Treg<break/>CD4<sup>+</sup> (activated) Th<break/>CD4<sup>+</sup> FoxP3<sup>-</sup>
<break/>
<bold>
<italic>CD8<sup>+</sup> CD39<sup>+</sup> CD103<sup>+</sup> PD1<sup>hi</sup>
</italic>
</bold>
</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">4-1BBL<break/>(CD137L)</td>
<td valign="middle" align="center">DC<break/>B cell<break/>Macrophage<break/>CD4<sup>+</sup>/CD8<sup>+</sup> T cell<break/>NK cell<break/>Mast cell<break/>Smooth muscle cell<break/>Haematopoietic progenitor cell</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-V</td>
<td valign="middle" align="center">OX40<break/>(CD134)</td>
<td valign="middle" align="center">
<bold>
<italic>CD4<sup>+</sup> (activated) Treg</italic>
</bold>
<break/>
<bold>
<italic>CD4<sup>+</sup> (activated) Th cell</italic>
</bold>
<break/>CD4<sup>+</sup> FoxP3<sup>-</sup> T cell<break/>
<bold>
<italic>CD8<sup>+</sup> T cell</italic>
</bold>
<break/>NK cell<break/>NKT cell<break/>Macrophage</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">OX40L<break/>(CD134L)</td>
<td valign="middle" align="center">DC<break/>B cell<break/>Macrophage<break/>CD4<sup>+</sup>/CD8<sup>+</sup> T cell<break/>NK cell<break/>Mast cell<break/>Endothelial cell<break/>Smooth muscle cell</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-V</td>
<td valign="middle" align="center">GITR<break/>(CD357/TNFRSF18)</td>
<td valign="middle" align="center">
<bold>
<italic>CD4<sup>+</sup>
</italic>
</bold> (activated) <bold>
<italic>Treg</italic>
</bold>
<break/>
<bold>CD4<sup>+</sup>
</bold> (activated) <bold>
<italic>Th</italic>
</bold>
<break/>CD4<sup>+</sup> FoxP3<sup>-</sup>
<break/>
<bold>
<italic>CD8<sup>+</sup>
</italic>
</bold> PD1<sup>int/hi</sup> <bold>
<italic>T cell</italic>
</bold>
<break/>B cell<break/>NK cell</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">GITRL<break/>(CD357L/TNFSF18)</td>
<td valign="middle" align="center">DC<break/>B cell<break/>Macrophage<break/>Endothelial cell</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-V</td>
<td valign="middle" align="center">CD27<break/>(TNFRSF7)</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD4<sup>+</sup> FoxP3<sup>+</sup> T cell<break/>
<bold>
<italic>CD8<sup>+</sup> T cell</italic>
</bold>
<break/>
<bold>
<italic>B cell</italic>
</bold>
<break/>NKT cell<break/>
<bold>
<italic>NK cell</italic>
</bold>
</td>
<td valign="middle" align="center">Constitutive (Other);<break/>Inducible (B cells)</td>
<td valign="middle" align="center">CD70</td>
<td valign="middle" align="center">DC<break/>B cell<break/>CD4+/CD8+ T cell<break/>NK cell<break/>Mast cell<break/>Endothelial cell<break/>Smooth muscle cell</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-V</td>
<td valign="middle" align="center">HVEM<break/>(CD270)</td>
<td valign="middle" align="center">CD4<sup>+</sup> T cell<break/>CD4<sup>+</sup> FoxP3<sup>+</sup> T cell<break/>CD8<sup>+</sup> T cell<break/>DC<break/>NK cell<break/>Monocyte<break/>Neutrophil</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">LIGHT, BTLA, CD160, LT&#x3b1;3</td>
<td valign="middle" align="center">B cell<break/>CD4<sup>+</sup>/CD8<sup>+</sup> T cell</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">+</td>
</tr>
<tr>
<td valign="middle" align="center">TNFRSF</td>
<td valign="middle" align="center">Type-L</td>
<td valign="middle" align="center">CD40<break/>(TNFRSF5)</td>
<td valign="middle" align="center">CD8<sup>+</sup> T cell<break/>
<bold>
<italic>B cell</italic>
</bold>
<break/>
<bold>
<italic>DC</italic>
</bold>
<break/>Macrophage<break/>Cancer cell</td>
<td valign="middle" align="center">Inducible</td>
<td valign="middle" align="center">CD40L</td>
<td valign="middle" align="center">CD4<sup>+</sup> (activated) Th<break/>CD8<sup>+</sup> T cell<break/>Basophil<break/>Mast cell</td>
<td valign="middle" align="center">+</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>All ICS receptors that have been described in PLC among the various immune cell subsets are depicted in bold and curse. DC, dendritic cell; GITR, glucocorticoid-induced TNFR-related; HVEM, herpes virus entry mediator; ICOS, inducible T cell co-stimulator; IgSF, immunoglobulin superfamily; PD1, programmed death-1; NK, natural killer; SLAM, signaling lymphocyte activation molecule; TIM, topical immune modulation; TNFRSF, tumour necrosis factor receptor superfamily.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<label>3.1</label>
<title>IgSF structure, expression, and ligands</title>
<p>The IgSF comprises various cell surface and soluble proteins. Its members share structural features with immunoglobulins, including an Ig-domain. IgSF members include cell surface antigen receptors, cell adhesion molecules, cytokine receptors, and co-inhibitory or -stimulatory signaling receptors. The human co-stimulatory IgSF members consists of 12 receptors and 16 ligands that are represented in the CD28, CD226, TIM, and CD2/SLAM receptor subfamilies (<xref ref-type="bibr" rid="B25">25</xref>). We here highlight the most relevant subfamily members.</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>CD28 receptor subfamily: CD28</title>
<p>CD28 (alias: Tp44) is a co-stimulatory molecule that was first described in 1987 (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Generally, CD28 is expressed constitutively on CD4<sup>+</sup> and CD8<sup>+</sup> T cells, including those in the TIME. Expression has been demonstrated among bone marrow stromal cells and other immune subsets such as plasma cells, neutrophils, and eosinophils (<xref ref-type="bibr" rid="B34">34</xref>). CD28-directed ligands belong to the B7 family of which CD80 (alias: B7-1) and CD86 (alias: B7-2) demonstrate the highest binding affinity (Kd: 4uM and 15-40uM, resp.) (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). CD80 and 86 are upregulated on APCs upon activation and maturation following immune stress responses. CD28 signaling induces activation of NFAT, mTOR, ERK and NFkB lowering the threshold for TCR signaling and subsequent T cell activation and proliferation, survival and effector function (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). However, in the TIME, CD80/86-mediated CD28 signaling may be hampered due to competitive binding of PD-L-1 and CTLA-4 to their respect receptors (<xref ref-type="bibr" rid="B37">37</xref>). Both PD-1 and CTLA-4 signaling impair CD28 signaling as intracellular domains of activated or PD-L-1 bound PD-1 bind to the CD28 cytoplasmic tail with high affinity. Moreover, CD28-mediated T cell co-stimulation has been shown to be crucial for PD-1 therapy in cancer patients as loss of CD28 via T cell exhaustion was shown to correlate to clinical irresponsiveness towards PD-1 ICI (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>IgSF and TNFRSF members induce T cell proliferation, survival, and effector function via shared co-stimulatory signaling pathways. CD28 and inducible T-cell co-stimulator (ICOS) associate with phosphoinositide 3-kinase (PI3K) through their YMNM/PYAP- or YMFM-motif, respectively. TNF receptor monomers multimerise into trimeric ligand-receptor complexes that engage TNF receptor-associated factor (TRAF) adaptor proteins. Upon ligation, GITR associates with TRAF2/4/5/6, 4-1BB associates with TRAF1/2, OX40 associates with TRAF2/5/6, CD40 associates with TRAF1/2/5/6. p38 and JNK are activated subsequent to TRAF2 and -5-mediated regulation of the MAPK pathways. NfkB is induced via the canonical and non-canonical signaling cascade. NFkB1 is induced through activation of kinase RIP1, TAK1 and IKK complexes mediated via TRAF2 or TRAF5 association. Moreover, TRAF2 engages with TRAF3 via cIAP1/2, thereby inducing TRAF3 degradation. As TRAF3 mediates NIK degradation under natural conditions, NFkB2 activation is induced downstream of phosphorylation of the inhibitory kappa B kinase-alpha (IKK) as a result of NF-kB-inducing kinase (NIK) stabilisation. GITR associates with pro-apoptosis factor SIVA1, activating downstream caspases. This might function as a negative feedback loop to pro-survival signaling cascades vai Bcl-xL. PI3K, RAS, and PKC&#x1d703; are inhibited through PD-1 signaling (red dashed square) directly or via recruitment of protein tyrosine phosphatase SHP1. AKT can be inhibited through PD-1 and CTLA-4 signaling (red solid square) via recruitment of SHP1 or protein phosphatase 2A (PP2A), respectively. Therefore, co-stimulatory signaling pathways might be enhanced through concomitant application of both ICS and ICB.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1357333-g002.tif"/>
</fig>
<p>In HCC, CD28 has been described to be expressed on TILs albeit at lower levels compared to PBMC-derived T cell (<xref ref-type="bibr" rid="B38">38</xref>). This might be explained by the fact that TIL fractions are enriched for central and effector memory T cells (Tcm and TEMRA, resp.) rather than na&#xef;ve CD8 T cells (Tn). Alternatively, diminished CD28 may be a reflection of T cell exhaustion (<xref ref-type="bibr" rid="B37">37</xref>). Among CD3<sup>+</sup> TILs, Hsu and colleagues have demonstrated high levels of PD1/CD28-coexpression (<xref ref-type="bibr" rid="B39">39</xref>). Furthermore, CD28 is upregulated on CD8<sup>+</sup> PD1<sup>hi</sup> HCC TILs compared to the PD1<sup>-</sup> and PD1<sup>int</sup> compartments thereby potentially delineating tumour-reactive TILs (<xref ref-type="bibr" rid="B40">40</xref>). In the TIME multiple cell types can deliver CD28 stimulatory signals as CD80 and CD86 are expressed on intra-tumoural B cell, BDCA1<sup>+</sup> myeloid DC (mDC), and CD14<sup>+</sup> monocytes in both HCC and CCA (<xref ref-type="bibr" rid="B18">18</xref>). HCC tumour cells themselves, however, have demonstrated relatively low B7 family member expression (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>As CD28 has been described to be expressed constitutively on naive T cells, agonistic targeting of CD28 is hard to restrict to the TIME or to circulating tumour-specific T cells. This was illustrated by a first-in-human clinical trial of a CD28 agonistic antibody where all healthy volunteers developed life-threatening immune-related adverse events (irAE) as a direct result of a cytokine release syndrome (<xref ref-type="bibr" rid="B43">43</xref>). Direct CD28 stimulation of TILs does, however, did show potential <italic>in vitro</italic>, reinvigorating anti-tumour CD8 TIL function and metabolic activity (<xref ref-type="bibr" rid="B44">44</xref>). Alternatively, CD28 stimulation might rather be established indirectly through antibody-mediated blockade of anti-PD-L-1 and CTLA-4 allowing increased binding of CD80/86 to CD28 and/or by lifting of inhibitory signaling via PD-1 and CTLA-4. Especially in HCC the former might contribute to the effect of ICI therapies targeting PD-L-1 and CTLA-4, since HCC tumour cells of early-relapsed disease demonstrated enhanced interaction of PD-L-1 and CTLA-4 with CD80/86 compared to primary HCC tumour cells (<xref ref-type="bibr" rid="B45">45</xref>). In these cases anti-PD-1/CTLA-4 blockade might enhance CD28 signaling and thereby could support T cell activation by local antigen presentation, thus improving tumour immune surveillance.</p>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>CD28 receptor subfamily: ICOS</title>
<p>Engagement of CD28 will trigger most T cells. To specifically target only already activated cells using ICS, one might focus on activation-induced co-stimulatory receptors such as inducible T-cell co-stimulator (ICOS; aliases: CD278, CVID1) (<xref ref-type="bibr" rid="B46">46</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Only a small fraction of resting memory T cells shows expression of ICOS at low levels (<xref ref-type="bibr" rid="B25">25</xref>). ICOS expression has been demonstrated to be expressed at intermediate levels in immune-active tumour-infiltrating Th1 cells (<xref ref-type="bibr" rid="B47">47</xref>). Furthermore, both in colorectal cancer (CRC) and non-small cell lung cancer (NSCLC), Duhen and colleagues demonstrated tumour-reactive CD4<sup>+</sup> Th or follicular T helper (Tfh) TILs co-express PD1 and ICOS (<xref ref-type="bibr" rid="B48">48</xref>). Important to consider when targeting ICOS is that in the TIME ICOS may also be highly expressed on FoxP3<sup>+</sup> Tregs, identifying highly immune suppressive activated Tregs among ICOS<sup>hi</sup> fractions (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Hence, stimulating ICOS may also augment immune suppression via Tregs. The ligand for ICOS is B7H2 (aliases: ICOSLG, B7RP1, CD275) (<xref ref-type="bibr" rid="B50">50</xref>). ICOS and CD28 share the B7H2 ligand, although ICOS binds to B7H2 with significantly higher affinity. B7H2 is expressed constitutively on mature APCs (e.g., B cells, macrophages, and DCs) (<xref ref-type="bibr" rid="B50">50</xref>). Moreover, B7H2 is largely expressed on somatic cells such as tumour cells including HCC, under local control of TNF&#x3b1; (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Similar to CD28, agonistic ICOS engagement triggers the activation of multiple pathways that support antigen specific T cell activation (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<p>Upregulation of ICOSL on HCC tumour-derived plasmacytoid DCs (pDCs) was hypothesised to activate type 1 regulatory T (Tr1) cells only (<xref ref-type="bibr" rid="B53">53</xref>). However, in HCC TILs, ICOS is upregulated both on Tregs as well as on CD4<sup>+</sup> TILs that demonstrated features of recent activation and displayed increased proliferative capacity as well (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B57">57</xref>). Therefore, ICOS signaling in HCC might both enhance and hamper local tumour control by liver-resident immune cells. In contrast, CCA-derived intra-tumoural Tregs demonstrated high expression of ICOS but not effector Th or CTL (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>Consistent with these expression patterns, in preclinical studies, ICOS signaling either promoted pro-tumour responses (via Tregs) or anti-tumour responses (via Th1, Tfh, or CTL) (<xref ref-type="bibr" rid="B47">47</xref>). Hence, agonistic ICOS mAbs alone will most likely not achieve any anti-tumour activity due to predominant action on Treg subsets. Interestingly, in patients treated with anti-CTLA-4 mAb, ICOS appears to be upregulated on effector T cells (<xref ref-type="bibr" rid="B58">58</xref>). Moreover, ICOS knock-out mice do not respond well to anti-CLTA-4, suggesting a significant role for ICOS-signaling on effector T cell-mediated anti-tumour activity particularly when Tregs are blocked (<xref ref-type="bibr" rid="B59">59</xref>). Concordantly, in a murine tumour model, concomitant stimulation of ICOS and blockade of CTLA-4 has proven to elicit potent synergistic anti-tumour responses, pleading for clinical exploration of combination regimen of ICOS stimulation with ICI, especially anti-CTLA-4 antibodies (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Future research may focus on antibody engineering to enhance the potential of ICOS<sup>hi</sup> Treg depletion via antibody-dependent cytotoxicity and also the timing of Treg depletion with respect to ICOS stimulation. On another note, ICOS stimulation has recently been combined with PD-1 blockade. Yap and colleagues reported on a phase 1/2 trial on vopratelimab (humanised IgG1 agonistic ICOS antibody; alias: JTX-2011) combined or not with nivolumab in refractory advanced-stage solid tumours, including 2 CCA patients in the monotherapy arm (<xref ref-type="bibr" rid="B62">62</xref>). Though vopratelimab alone or in combination with nivolumab was tolerated well, objective response rates (ORRs) were only 1.4% and 2.3% respectively.</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>CD226, TIM, and CD2/SLAM IgSF subfamily members as potential targets for ICS</title>
<p>CD226 (alias: DNAM1, TLiSA1) is a constitutively expressed co-stimulatory receptor that was discovered first in 1985 (<xref ref-type="bibr" rid="B63">63</xref>). Being expressed mostly by effector T cells, Tregs, and NK cells, CD226 regulates immune activity via interplay with its ligands CD155 and CD112.</p>
<p>At the tumour site CD226 expression tends to be diminished due to PD-1 and TIGIT signaling, local regulation through TGF-&#xdf;, and proteasomal cleavage (<xref ref-type="bibr" rid="B64">64</xref>). Given the significant immunostimulatory role of CD226 via VAV1, agonistic CD226-targeting mAbs could potentially serve as promising anti-tumour regimen (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>). However, CD226 plays a significant role in blood platelet adhesion and activation as well, potentially complicating its clinical application. T cell Ig and ITIM domain (TIGIT) competes with CD226 for binding CD155 (Kd 114-119nM vs. 1-3nM) and CD112 (Kd 0.31-8.97uM vs. not measureable) (<xref ref-type="bibr" rid="B67">67</xref>). In HCC-derived CTL, Th, and Treg TILs the TIGIT/CD226 ratio appeared to be upregulated (<xref ref-type="bibr" rid="B68">68</xref>). Therefore, enhancing CD226 signaling specifically on TILs might be achieved indirectly using selective blockade of TIGIT. Indeed, low PD1 expressing CD8<sup>+</sup> T cells reacted to anti-PD-1 and anti-TIGIT combination regimen in a CD226-dependent manner <italic>in vitro</italic> whereas these CTLs did not respond to anti-PD-1 alone. Concordantly, in the setting of NSCLC, Banta, et&#xa0;al. demonstrated the importance of CD226 expression for optimal anti-tumour CD8<sup>+</sup> T cell responses in the context of therapeutic ICI via PD-1 or TIGIT (<xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>TIM-1 is a co-stimulatory receptor that is part of the IgSF TIM subfamily. TIM-1 ligands are TIM-4 and phophatidylserine. TIM-1 expression is induced upon activation of T cells, NK cells, B cells, macrophages, DCs, and mast cells (<xref ref-type="bibr" rid="B70">70</xref>). In a mouse transplant model, agonistic TIM-1 mAb have shown to stimulate effector T cell function and deprogram Tregs (<xref ref-type="bibr" rid="B71">71</xref>). In HCC, TIM-1 expressing B cells have been demonstrated to delineate immune suppressive subsets. TIM-1 targeting might therefore have a stimulatory effect by deprogramming Bregs as well (<xref ref-type="bibr" rid="B72">72</xref>). Stimulating effector T cells and hampering regulatory subsets, TIM-1-mediated ICS might be a potential candidate for enhancing anti-tumour activity (<xref ref-type="bibr" rid="B73">73</xref>). However, recently TIM-1 expression by cervical cancer cells was associated with cancer proliferation and migration indicating harmful effects may also arise. The expression of TIM-1 on liver tumour cells is unknown, hence more studies are required before agonistic targeting of TIM-1 can be applied in the clinic (<xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>SLAMF6 (alias: NTB-A) is expressed on B, NK, and T cells as well. Remarkably, SLAMF6 expression is strongly correlated to the expression of T cell factor 1 (TCF-1) (<xref ref-type="bibr" rid="B75">75</xref>). Both are described to delineate progenitor exhausted CD8<sup>+</sup> T cells from terminally-exhausted CTLs, making SLAMF6-mediated ICS of great interest in rescuing tumour-specific CTLs (<xref ref-type="bibr" rid="B76">76</xref>). SLAMF6 has neither been characterised in HCC nor in CCA. However, in HCC progenitor exhausted CD8<sup>+</sup> T cells have been demonstrated <italic>ex vivo</italic> by PD1<sup>int</sup>, TCF-1<sup>+</sup>, TOX<sup>lo</sup> expression, providing a potential reservoir for SLAMF6-mediated ICS to reinvigorate anti-tumour immunity (<xref ref-type="bibr" rid="B68">68</xref>).</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>TNFRSF structure, expression, and ligands</title>
<p>The human TNF-super-family (TNFSF) consists of 29 receptors and 19 ligands. Upon ligation, TNF receptor monomers multimerise into trimeric ligand-receptor complexes that engage TNF receptor-associated factor (TRAF) adaptor proteins (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). TNF-/TNF-super-family members are divided into four separate categories of which the type-V (divergent) and type-L (conventional) play a prominent role in stimulatory T cell co-signalling (<xref ref-type="bibr" rid="B25">25</xref>). To date, 4-1BB, OX40, GITR, CD27, and CD40 are considered appropriate candidates for therapeutic immunomodulation.</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Type V TNFSF receptor subfamily: 4-1BB</title>
<p>The activation-induced co-stimulatory molecule 4-1BB (aliases: TNFRSF9, CD137, ILA) was first described in 1989 (<xref ref-type="bibr" rid="B77">77</xref>). 4-1BB is transiently expressed upon TCR engagement on TILs, including activated CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B78">78</xref>&#x2013;<xref ref-type="bibr" rid="B80">80</xref>), memory and regulatory CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B81">81</xref>), follicular CD4<sup>+</sup> T (Tfh) cells (<xref ref-type="bibr" rid="B82">82</xref>), but also on NK cells (<xref ref-type="bibr" rid="B83">83</xref>). Additionally, 4-1BB expression by TILs is enhanced partly under hypoxic conditions through hypoxia-inducible factor 1-&#x3b1; (<xref ref-type="bibr" rid="B79">79</xref>). 4-1BB binds uniquely to its 4-1BB ligand (4-1BBL; aliases: TNFSF9, CD137L). 4-1BBL is expressed on antigen presenting cells such as dendritic cells (DCs), B lymphocytes, and macrophages (<xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>). Furthermore, upon inflammation, non-immunological human cells (e.g., smooth muscle cells, endothelial cells, hematopoietic stem cells) demonstrate expression of 4-1BBLas well, suggesting a role for these cells in effector T cell enhancement (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). Besides a membrane-bound form (m4-1BB), 4-1BB also exists in a soluble form (s4-1BB) that results from alternative splicing (<xref ref-type="bibr" rid="B88">88</xref>). Although initially s4-1BB was observed in patients with autoimmune disease, increased levels have been demonstrated in haematological malignancies as well (<xref ref-type="bibr" rid="B89">89</xref>). Moreover, s4-1BB is hypothesised to function as a cancer immune escape mechanism by competing with m4-1BB for binding to 4-1BBL, thereby hampering intratumoural 4-1BB T cell costimulation (<xref ref-type="bibr" rid="B90">90</xref>).</p>
<p>In HCC and intrahepatic CCA, 4-1BB has been described to be exclusively expressed by CD4<sup>+</sup> and CD8<sup>+</sup> TILs (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>). Interestingly, Kim and colleagues have shown that 4-1BB delineates a distinct activation status among exhausted PD1<sup>hi</sup> CD8<sup>+</sup> HCC-derived TILs (<xref ref-type="bibr" rid="B92">92</xref>). Compared to 4-1BB<sup>-</sup> TILs, 4-1BB<sup>+</sup> PD1<sup>hi</sup> CD8<sup>+</sup> T cells expressed higher levels of TCF-1, CD28, and T-bet/Eomes, indicating a greater potential for TIL reinvigoration. Accordingly, co-stimulation of CD8<sup>+</sup> TILs using a humanised IgG4 4-1BB mAb further reinvigorated anti-PD-1-mediated CD8 function <italic>in vitro</italic>. As 4-1BB<sup>+</sup> PD1<sup>hi</sup> CD8<sup>+</sup> TILs are hypothesised to be tumour-reactive T cells, 4-1BB costimulation using agonistic antibodies may be promising anti-tumour strategy in HCC patients (<xref ref-type="bibr" rid="B92">92</xref>). Care should be taken, however, as 4-1BB has also been demonstrated to be expressed highly on Tregs in colorectal cancer-derived liver metastasis (CRLM), as well as on TIL-derived Tregs in HCC (<xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>). Nevertheless, pre-clinical mouse studies have revealed a potential of dual anti-tumour activities of 4-1BB mAb by which both Treg depletion and CD8 T cell promotion can be achieved by smartly exploiting antibody isotypes and Fc&#x3b3;R-availability (<xref ref-type="bibr" rid="B95">95</xref>).</p>
<p>Care should be taken though as in 2008, high doses of urelumab (alias: BMS-663513), a fully humanised IgG4 mAb targeting 4-1BB, led to two hepatotoxicity-related deaths. Lower dosage regimens, however, appeared to be safe in later studies in hematological cancer patients and were accompanied by CR/PR of 0%/6%, 6%/6%, and 17%/0% in DLBCL, FL, and other B cell lymphomas, respectively (<xref ref-type="bibr" rid="B26">26</xref>) (<xref ref-type="bibr" rid="B96">96</xref>) In addition, Utomilumab (alias: PF-05082566), a fully humanised IgG2 mAb, has been studied as a single agent, engaging 4-1BB to mediate T cell ICS. It was well-tolerated safety profile among 55 patients (MCL, CRC, GC, PDAC, (N)SCLC, CCA, BC, Lymphoma, Sarcoma, etc.) (<xref ref-type="bibr" rid="B97">97</xref>). When combined with pembrolizumab, no dose-limiting toxicities were observed and 6 out of 23 patients demonstrated CR or PR (2 CR: RCC, SCLC; 4 PR: TC, RCC, NSCLC, and HNSCC) (<xref ref-type="bibr" rid="B98">98</xref>). Interestingly, clinical activity correlated with increased levels of peripheral activated memory/effector CD8<sup>+</sup> T cells. Also, other combination regimen of utomilumab with mogamulizumab (anti-CCR4) or avelumab (anti-PD-L1) appeared to be safe, but anti-tumour activity remained relatively small (<xref ref-type="bibr" rid="B99">99</xref>, <xref ref-type="bibr" rid="B100">100</xref>). Based on these experiences a very diverse landscape of second-generation 4-1BB agonists has recently been developed, with many entering clinical Phase 1 and 2 trials (<xref ref-type="bibr" rid="B101">101</xref>).</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Type V TNFSF receptor subfamily: OX40</title>
<p>OX40 (aliases: TNFRSF4, CD134) is a co-stimulatory molecule that was discovered in 1987 by Paterson and colleagues (<xref ref-type="bibr" rid="B102">102</xref>). OX40 expression can be induced following TCR cross-linking on activated CD4<sup>+</sup> and CD8<sup>+</sup> T cells, and Tregs. Moreover, it is induced upon the activation of NK cells, NKT cells, and neutrophils (<xref ref-type="bibr" rid="B103">103</xref>&#x2013;<xref ref-type="bibr" rid="B105">105</xref>). OX40 is overexpressed on T cells upon sustained TCR stimulation in the presence of CD28-mediated costimulation as well as IL2 (<xref ref-type="bibr" rid="B106">106</xref>). <italic>In vitro</italic>, OX40 gets upregulated on CD4<sup>+</sup> and CD8<sup>+</sup> TILs when exposed to autologous tumour cells (<xref ref-type="bibr" rid="B107">107</xref>). Accordingly, OX40 appears to be expressed at higher levels in TILs or tumour-draining lymph nodes when compared to PBMC-derived immune cells in melanoma, ductal mamma carcinoma, and head and neck cancer (<xref ref-type="bibr" rid="B108">108</xref>&#x2013;<xref ref-type="bibr" rid="B112">112</xref>). OX40 ligand (OX40L; alias: TNFSF4, gp34) functions as the unique ligand for the OX40 receptor (<xref ref-type="bibr" rid="B113">113</xref>). OX40L is expressed transiently on antigen presenting cells such as DCs, B lymphocytes, and macrophages upon ligation of certain pattern recognition or cytokine receptors (e.g., TLR2, TLR4, TLR9, CD40, TSLPR, IL18R) (<xref ref-type="bibr" rid="B114">114</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>). Moreover, T cells have been demonstrated to upregulate OX40L themselves as a result of TCR crosslinking upon T-T cell interactions, giving rise to sustained CD4<sup>+</sup> T cell longevity (<xref ref-type="bibr" rid="B118">118</xref>). Innate-derived immune cells such as NK cells and type 2/3 innate lymphoid cells (ILC) express OX40L when triggered by NKG2D or alarmin molecules, respectively (<xref ref-type="bibr" rid="B119">119</xref>, <xref ref-type="bibr" rid="B120">120</xref>). As reported for 4-1BBL, non-immunological cells (endothelial cells, smooth muscle cells) can express OX40L under inflammatory conditions as well (<xref ref-type="bibr" rid="B121">121</xref>, <xref ref-type="bibr" rid="B122">122</xref>). Though, the soluble variant of OX40L (sOX40L) is increased in some types of cancer, it cannot oligomerise and hence sOX40L does not properly stimulate OX40 (<xref ref-type="bibr" rid="B123">123</xref>).</p>
<p>In HCC, OX40 was found enriched in the TIME (<xref ref-type="bibr" rid="B124">124</xref>&#x2013;<xref ref-type="bibr" rid="B127">127</xref>). Expression was enhanced specifically among Treg and CD4<sup>+</sup> activated helper T cell (aTh) TIL subsets (<xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B126">126</xref>). Ligation of OX40 markedly increased CD4<sup>+</sup> T cell expansion <italic>in vitro</italic> (<xref ref-type="bibr" rid="B126">126</xref>). CD8<sup>+</sup> TIL fractions, in contrast, showed only modest expression levels of OX40 (<xref ref-type="bibr" rid="B126">126</xref>). However, OX40 was largely co-expressed with exhaustion marker PD1 on CD8<sup>+</sup> T cells from HCV-related HCC patients, suggesting prior antigen specific activation and thus hinting to pre-existing <italic>in situ</italic> anti-tumour reactivity (<xref ref-type="bibr" rid="B124">124</xref>). Moreover, OX40 correlated to higher expression of other immune-activation markers such as: CD68, TIM-3, and LAG3 (<xref ref-type="bibr" rid="B125">125</xref>). Though, OX40 expression is overall associated with anti-tumour immunity, in HCC it has also been correlated to more aggressive disease (i.e., displaying increased alpha feto-protein (AFP) and vascular invasion) and to impaired survival (<xref ref-type="bibr" rid="B125">125</xref>). In contrast, in CCA, increased expression of OX40 on PBMC-derived Th and CD8<sup>+</sup> T cell was rather correlated to improved recurrence-free survival, hinting to a potential anti-tumour effect (<xref ref-type="bibr" rid="B128">128</xref>). Despite the association of OX40 to more aggressive disease in HCC, Treg, Th, and CTL in HCC-derived TILs can be skewed to the pro-inflammatory state upon multimerisation of OX40 using a hexameric OX40 ligand or bead-bound or Fc-engineered OX40 antibody <italic>in vitro</italic>. From these experiments it was suggested that Fc&#x3b3;R(IIB)-mediated antibody multimerisation, to allow for OX40 trimerisation, is critical to effectively induce OX40-mediated anti-tumour immunity (<xref ref-type="bibr" rid="B126">126</xref>). Clinical trials on OX40 stimulation so far, however, have all applied traditional agonistic mAb with insufficient Fc&#x3b3;R(IIB) affinities.</p>
<p>In a first attempt, a therapeutic agonistic mouse mAb to OX40 demonstrated tumour regression in 12 out of 30 late-stage cancer patients (<xref ref-type="bibr" rid="B129">129</xref>). Interestingly, in this study regression and SD were observed among patients with CCA. However, induction of human anti-mouse antibodies made re-administration of the agent impossible. More recently, Tavolimab (alias: MEDI0562), a humanised agonistic OX40 IgG1 antibody, was deemed safe in advanced-stage solid tumours but PR was observed in only 2 out of 50 patients, not comprising the single HCC patient included (<xref ref-type="bibr" rid="B130">130</xref>). Nonetheless, a marked increase in proliferation of peripheral CD4<sup>+</sup> and CD8<sup>+</sup> memory T cells was observed. Moreover, intra-tumoural FoxP3<sup>+</sup> T cells decreased. Also, another fully humanised agonistic OX40 IgG1 antibody (BMS-986178) was shown to be safe in metastatic solid tumours (<xref ref-type="bibr" rid="B131">131</xref>). Clinically meaningful anti-tumour efficacy was not observed among any of the HCC patients included in this trial. Similar safety profiles on OX40 monotherapy have been observed in other recent clinical trials studying ICAGN01949 (fully humanised agonistic OX40 IgG1 mAb), GSK3174998 (fully humanised agonistic IgG1 mAb), or ivuxolimab (alias: PF-04518600; fully humanised agonistic IgG2 mAb) in advanced solid tumours and ivuxolimab in AML, respectively (<xref ref-type="bibr" rid="B132">132</xref>&#x2013;<xref ref-type="bibr" rid="B135">135</xref>). Interestingly, one HCC patient, a non-responder to prior sorafenib treatment, demonstrated long-term tumour regression on ivuxolimab (<xref ref-type="bibr" rid="B132">132</xref>). A 30mg flat dose of ivuxolimab is currently evaluated in an expansion trial for efficacy, safety, and pharmacodynamics in HCC patients specifically. In patients treated with ICAGN01949 also one patient with metastatic CCA receiving 700mg demonstrated PR as best response with a largest decrease in tumour size of 41.9% from baseline (<xref ref-type="bibr" rid="B133">133</xref>). OX40 ligation may also hold promise in the neoadjuvant setting as was suggested by a recent study applying tavolimab pre-operably to HNSCC patients. In most patients enhanced immune activation in peripheral CD4<sup>+</sup> and CD8<sup>+</sup> T cells was observed and 4 out of 17 patients displayed expansion of putative tumour reactive CD103<sup>+</sup>CD39<sup>+</sup>CD8<sup>+</sup> TILs. Importantly, in contrast to immune non-responsive patients, none of these patients developed recurrent disease (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Because of the modest efficacy of OX-40-mediated ICS, combination regimens have been clinically tested as well. BMS-986178 alone did not show any objective response in advanced-stage solid tumours. In combination with nivolumab and/or ipilimumab (anti-CTLA-4), ORR ranged from 0 to 13%, but did not surpass expected ORRs for anti-PD-1/CTLA-4 monotherapies (<xref ref-type="bibr" rid="B28">28</xref>). A second trial studying the combination of anti-OX40 antibodies with ICI (tavolimab vs. tavolimab with durvalumab (anti-PD-L1) or tremelimumab (anti-CTLA-4)) again demonstrated no improved clinical activity compared to monotherapy ICI (<xref ref-type="bibr" rid="B136">136</xref>). Combination therapies of multiple ICS strategies involving OX40-engagement (i.e., ivuxolimab with utolimumab and GSK3174998 with GSK1795091) do show anti-tumour immune reactivity. These trials, however, lacked a monotherapy arm (<xref ref-type="bibr" rid="B137">137</xref>, <xref ref-type="bibr" rid="B138">138</xref>). Taken together, a clear clinical benefit using agonistic mAb to OX40 has not yet been demonstrated but there is remaining clinical potential for future Fc&#x3b3;R(IIB)-binding antibodies.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Type V TNFSF receptor subfamily: GITR</title>
<p>Glucocorticoid-induced TNFR-related protein (GITR) (aliases: TNFRSF18, CD357, AITR) is a co-stimulatory molecule that was firstly described in 1997 (<xref ref-type="bibr" rid="B139">139</xref>). Tregs demonstrate constitutive high expression levels of GITR, whereas naive and memory TILs have lower expression levels (<xref ref-type="bibr" rid="B140">140</xref>, <xref ref-type="bibr" rid="B141">141</xref>). Upon T cell activation via CD28 signalling, GITR expression can be enhanced rapidly in both Treg and effector TILs (<xref ref-type="bibr" rid="B140">140</xref>). GITR is expressed transiently at low to intermediate levels in B cells, and innate lymphocyte subsets such as macrophages, NK cells, and NKT cells as well (<xref ref-type="bibr" rid="B142">142</xref>&#x2013;<xref ref-type="bibr" rid="B144">144</xref>). GITR binds uniquely to GITR ligand (GITRL; aliases: TNFSF18, CD357L) (<xref ref-type="bibr" rid="B145">145</xref>). GITRL is expressed on activated APCs such as macrophages, DCs, and B cells (<xref ref-type="bibr" rid="B143">143</xref>, <xref ref-type="bibr" rid="B146">146</xref>, <xref ref-type="bibr" rid="B147">147</xref>). GITRL has been demonstrated to be transiently upregulated upon TLR4 activation (<xref ref-type="bibr" rid="B148">148</xref>). Moreover, GITRL is expressed by endothelial cells (<xref ref-type="bibr" rid="B145">145</xref>, <xref ref-type="bibr" rid="B149">149</xref>). It is therefore hypothesised to play a role in mediating leukocyte adhesion and migration.</p>
<p>In HCC, TIL-derived (CD4<sup>+</sup>CD25<sup>+</sup> or CD4+FoxP3+) Tregs have enhanced GITR expression compared to Tregs in adjacent tissues or PBMC (<xref ref-type="bibr" rid="B150">150</xref>) (<xref ref-type="bibr" rid="B55">55</xref>). <italic>In vitro</italic>, co-culture of HCC-derived CD4<sup>+</sup>CD25<sup>-</sup> Th cells and CD4<sup>+</sup>CD25<sup>+</sup> Tregs showed that GITR ligation prevented hypo-responsiveness of effector CD4<sup>+</sup> T cells, suggesting GITR engagement either hampered Tregs or stimulated Th cells directly (<xref ref-type="bibr" rid="B55">55</xref>). Even though GITR is most abundant on activated CD4+ Tregs, it is also detected on CD4<sup>+</sup> Th and CD8<sup>+</sup> effector TILs (<xref ref-type="bibr" rid="B151">151</xref>&#x2013;<xref ref-type="bibr" rid="B153">153</xref>). Interestingly, these TILs demonstrated co-expression of GITR with other activation induced checkpoint inhibitors and stimulators such as CTLA-4, PD1, and 4-1BB offering opportunity for combination therapies (<xref ref-type="bibr" rid="B151">151</xref>, <xref ref-type="bibr" rid="B152">152</xref>). When GITR ligation was combined with CTLA-4-mediated ICI <italic>in vitro</italic> on HCC-derived TILs, immunosuppression by tumour-derived Tregs was abrogated completely (<xref ref-type="bibr" rid="B151">151</xref>). in addition, HCC-derived CD8<sup>+</sup> TILs were functionally enhanced when GITR ligation was combined with PD-1 blockade, further paving the way for combination therapies (<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B152">152</xref>). Similar results were obtained for intra-hepatic cholangiocarcinoma (iCCA) where CD4<sup>+</sup> Tregs also demonstrated higher GITR expression compared to CD4<sup>+</sup> Th, and CD8<sup>+</sup> effector cells (<xref ref-type="bibr" rid="B19">19</xref>). Additionally, <italic>in vitro</italic> GITRL enhanced proliferation of both pre-stimulated CD4<sup>+</sup> and CD8<sup>+</sup> TILs compared to anti-PD-1- or -CTLA-4-mediated ICI. Interestingly, in CCA GITRL is downregulated on mDCs and monocytes in TILs when compared to adjacent liver tissues (<xref ref-type="bibr" rid="B19">19</xref>). Thereby, potentially hampering stimulation of anti-tumour TIL activity. Similar to CD4<sup>+</sup> T cells, CD8<sup>+</sup> TILs largely co-expressed GITR with other checkpoint molecules underscoring the potential of combination-therapies in both CCA and HCC.</p>
<p>Clinical activity of GITR-mediated ICS using TRX-518, a humanised agonistic GITR glycosylated IgG1 mAb, was evaluated in 43 patients with refractory solid tumours including 1 HCC, 1 fibrolamellar, and 1 CCA patient (<xref ref-type="bibr" rid="B30">30</xref>). TRX-518 was safe and depleted peripheral Tregs. Nevertheless, patients developed neither PR nor CR. CD8<sup>+</sup> T cell exhaustion was hypothesised to cause clinical inactivity, pleading for combinatorial approaches using PD-1-mediated ICI. Similarly, MK-1248, a humanised agonistic GITR IgG4 antibody had no clinical effect as monotherapy for patients with solid cancers, including 1 HCC patient (<xref ref-type="bibr" rid="B154">154</xref>). However, when combined with pembrolizumab 1 and 2 out of 17 patients developed CR and PR, respectively (HNSCC, melanoma and cancer e.c.i.). In contrast, in an interim-analysis of a phase 2 trial on advanced solid tumours, no additional clinical activity of GITR engagement using BMS-986156 (humanised agonistic GITR IgG1 mAb) to nivolumab was demonstrated (2 and 19 out of 252 CR and PR, resp.) (<xref ref-type="bibr" rid="B27">27</xref>) Still, 5 out of the 12 HCC patients in the combination arm experienced radiological disease control of which four had SD and one had PR. In ICI-na&#xef;ve but not ICI experienced melanoma patients, MK-4166 (humanised agonistic GITR IgG1 mAb), significantly increased the ORR (5 and 3 out of 13 CR and PR, resp.). Moreover, combination of MK-4166 with pembrolizumab did not result in enhanced clinical activity as was observed in the single HCC patient that got doublet therapy (<xref ref-type="bibr" rid="B155">155</xref>). In accordance, GWN323, a humanised agonistic GITR IgG1 mAb, appeared to be safe, but showed minimal clinical activity as monotherapy and modest clinical benefit in combination with spartalizumab (anti-PD-1 mAb) in both advanced solid tumours as well as lymphomas (<xref ref-type="bibr" rid="B156">156</xref>). In conclusion, GITR appears to be an attractive target for ICS <italic>in vitro</italic>. In light of the importance of multimerisation of TNFRSF like OX40 the focus should maybe be shifted towards novel strategies to deliver adequate GITR-mediated ICS such as multimerisation approaches, to potentially reproduce advantageous results <italic>in vivo</italic> as well.</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Type V TNFSF receptor subfamily: CD27</title>
<p>In contrast to other TNFRSF members, CD27 (alias: TNFRSF7) is expressed constitutively on naive and effector T cells. This suggests that CD27 may act earlier upon activation in priming of T cells. Though CD27 gets downregulated on effector phenotypes, it is still expressed at moderate levels by central- and effector-memory T cells. NK cells also express CD27, albeit at lower levels in activated subsets. Moreover, CD27 is expressed by germinal centre and memory B cells (<xref ref-type="bibr" rid="B157">157</xref>, <xref ref-type="bibr" rid="B158">158</xref>). It ligates specifically to CD70 (alias: TNFSF7, CD27L) that is expressed upon activation of DCs, B cells, and T cells.</p>
<p>In HCC tumours CD27 was found expressed on tumour-infiltrating B and T cell but the majority of CD27<sup>+</sup> TILs were CD3<sup>+</sup> T cells (<xref ref-type="bibr" rid="B159">159</xref>, <xref ref-type="bibr" rid="B160">160</xref>). Compared to healthy controls, circulating CD27<sup>+</sup>CD19<sup>+</sup> B cells in HCC appeared to be decreased especially with disease progression (<xref ref-type="bibr" rid="B161">161</xref>). Accordingly, expression of CD27 on T and B cells has been shown to be associated positively with patient survival (<xref ref-type="bibr" rid="B159">159</xref>, <xref ref-type="bibr" rid="B162">162</xref>). CD27 has been demonstrated to be co-expressed with CD38 in HCC tumours, potentially delineating NK cells (<xref ref-type="bibr" rid="B159">159</xref>). Concordantly, a fraction of HCC-derived liver-resident NK cells expressed CD27. Additionally, NK cell CD27 was downregulated upon increased tumour burden which corresponded with impaired cytotoxic capacity <italic>in vitro</italic>, suggesting CD27 expression may associate with prognosis (<xref ref-type="bibr" rid="B163">163</xref>).</p>
<p>Besides T cell priming and effector differentiation, continuous ligation of CD27 is considered to play a significant role in the induction of T cell exhaustion as well as Treg survival. Nevertheless, CD27 agonistic antibodies exhibit anti-tumour functionality in both pre-clinical <italic>in vitro</italic> and <italic>in vivo</italic> models by enhancing CD27-mediated ICS and depletion of Tregs via ADCC (<xref ref-type="bibr" rid="B164">164</xref>, <xref ref-type="bibr" rid="B165">165</xref>). Agonistic targeting of CD27 to stimulate anti-tumour T cell reactivity has been studied on a smaller scale when compared to other ICS-mediated T cell engagement. Treatment of 25 (Melanoma, CRC, OC, PC, RCC, NSCLC) and 31 patients (melanoma, RCC), with varlilumab (alias: CDX-1127), a fully humanised agonistic CD27 IgG1 mAb, in a phase 1 dose-escalation and -expansion trial, respectively was well tolerated (<xref ref-type="bibr" rid="B166">166</xref>). Only 1 patient experienced dose-limiting toxicity (grade 3 asymptomatic hyponatremia). Generally, pro-inflammatory immune activation was observed as characterised by increased terminally differentiated effector memory CD8<sup>+</sup> T cells, HLA-DR expression on CD4+ T cells, and INF&#x3b3; responses to recall antigens. One out of 15 RCC patients in the expansion cohort demonstrated a PR. Similarly, in hematologic cancers, varlilumab was tolerated well up to the maximum tested dose (<xref ref-type="bibr" rid="B167">167</xref>). 30 and 4 patients were tested in a dose-expansion and -escalation design, respectively of which 1 out of 4 Non-Hodgkin&#x2019;s Lymphoma (NHL) patients developed CR. Both trials have shown modest clinical activity, pleading for the importance of combination therapies. Already assessed was the combination of varlilumab with nivolumab that could be applied safely in patients with several advanced solid tumours, not involving PLC (<xref ref-type="bibr" rid="B168">168</xref>). Though the combination regimen was not compared to nivolumab only, the ORR was not greater than expected for anti-PD-1 monotherapy. Results from a trial (NCT03396445) testing clinical efficacy of another fully humanised agonistic CD27 antibody (MK-5890) in a cross-over design comparing MK-5890 monotherapy to the combination with pembrolizumab (anti-PD-L1) are pending. To our knowledge, no data on treatment of PLC with CD27 targeting Abs are available yet.</p>
</sec>
<sec id="s3_2_5">
<label>3.2.5</label>
<title>Type L receptor subfamily: CD40</title>
<p>CD40 (aliases: TNFRSF5, Bp50) is a co-stimulatory receptor that was discovered in 1986 (<xref ref-type="bibr" rid="B169">169</xref>). CD40 is constitutively expressed on APCs (e.g., macrophages, DCs, B cells) (<xref ref-type="bibr" rid="B170">170</xref>, <xref ref-type="bibr" rid="B171">171</xref>). Furthermore, CD40 expression can be enhanced on fibroblasts as well as epithelial cells upon exposure to interferons (IFN) and tumour necrosis factor (TNF) (<xref ref-type="bibr" rid="B171">171</xref>, <xref ref-type="bibr" rid="B172">172</xref>). In contrast to all other TFNRSF members, the orientation of CD40/CD40L on the DC:T cell synapse is inverted, with the receptor and ligand being expressed on the APC and T cell respectively, indicating a role in T cell priming rather than effector functionalities. CD40 ligand (CD40L; aliases: TNFSF5, CD154) serves as the sole ligand of the CD40 receptor (<xref ref-type="bibr" rid="B173">173</xref>). CD40L is primarily expressed by activated T cells and is upregulated upon TCR signalling (<xref ref-type="bibr" rid="B174">174</xref>). Under pro-inflammatory conditions, other immune cells that express CD40L are activated B cells, NK cells, mast cells, and basophils (<xref ref-type="bibr" rid="B175">175</xref>&#x2013;<xref ref-type="bibr" rid="B178">178</xref>). CD40L expressing CD4<sup>+</sup> T cells mainly interact with B cells in germinal centres and are therefore defined as Tfh cells (<xref ref-type="bibr" rid="B179">179</xref>). However, in immune oncology, CD40-mediated ICS is largely focused on the &#x201c;licensing&#x201d; of DCs allowing them to promote anti-tumour T cell activation and the skewing of macrophages (<xref ref-type="bibr" rid="B180">180</xref>). Generally, upon receptor crosslinking by CD40L, APCs upregulate major histocompatibility complex (MHC) molecules and co-stimulatory IgSF or TNFRSF ligands (e.g., CD70) (<xref ref-type="bibr" rid="B181">181</xref>). Moreover, CD40-activation induces secretion of cytokines that are crucial for CD8<sup>+</sup> T cell activation as well as Th1 polarisation (e.g., IL12). By accomplishing enhanced antigen presentation and pro-inflammatory T cell support, CD40 activation potentiates anti-tumour immunity (<xref ref-type="bibr" rid="B181">181</xref>).</p>
<p>In HCC, CD40 is expressed on tumour infiltrating B cells and DCs. Total CD40 tumour expression correlated positively to improved survival, highlighting a significant role in anti-tumour immunity (<xref ref-type="bibr" rid="B159">159</xref>). Also in CCA, intra-tumoural CD40 expression was demonstrated to be an independent predictor for improved survival (<xref ref-type="bibr" rid="B182">182</xref>). However, <italic>in situ</italic>, the priming of anti-cancer immunity by APCs may be hampered in HCC, since intra-tumoural activated DCs showed less expression of CD40 when compared to adjacent tissues in the majority of patients, especially in those with tumour suppressor gene mutations (<xref ref-type="bibr" rid="B183">183</xref>, <xref ref-type="bibr" rid="B184">184</xref>). Therefore, impaired DC maturation in HCC and CCA may prove to be a critical feature of tumour escape that offers therapeutic opportunity. Encouragingly, HCC PBMC-derived B cells transfected with HCC total RNA were able to induce cytotoxic T cell responses <italic>ex vivo</italic> upon activation with CD40L (<xref ref-type="bibr" rid="B185">185</xref>). Furthermore, CD40L-actived B cells of HCC patients were able to induce <italic>in vitro</italic> CD4<sup>+</sup> and CD8<sup>+</sup> responses in autologous TIL fractions to tumour-associated antigens (glypican-3, MAGE-C2) (<xref ref-type="bibr" rid="B18">18</xref>). These <italic>in vitro</italic> studies indicate that in HCC anti-tumour T cells can be induced when tumour antigens are effectively presented by well matured APC. As such there is potential for CD40 agonistic drugs in PLC. In four different CCA mouse models, treatment with an agonistic CD40 antibody alone achieved moderate anti-tumour immunity only (<xref ref-type="bibr" rid="B182">182</xref>). However, when combined with anti-PD-1 ICI, anti-tumour effects enhanced significantly by the induction of CD8<sup>+</sup> T cell responses via activation of DCs and macrophages. Interestingly, anti-tumour activities were abrogated upon macrophage depletion, thus pointing out a critical role of myeloid cells for both CD40-mediated immunotherapy as well as effective anti-PD-1 therapy in CCA. These data highlight the possibility of targeting CD40 to facilitate T cell priming of <italic>non-inflammed</italic> tumours and support the combination of agonistic CD40-antibodies with T-cell targeting immunotherapy.</p>
<p>In 2007, selicrelumab (aliases: CP-870,893; RO7009789), a fully humanised agonistic CD40 IgG2 mAb, elicited a partial response in 4 out of 29 patients with advanced solid tumours. PR was observed in metastatic melanoma patients, and 1 out of 2 CCA patients experienced regression of a large hepatic metastasis (<xref ref-type="bibr" rid="B186">186</xref>). Even though, 55% of all study subjects developed grade 1-2 cytokine release syndrome (CRS) the safety profile was deemed acceptable. Similarly, in hematological cancer (B cell NHL), CD40 engagement via dacetuzumab (humanised agonistic CD40 IgG1 mAb; alias: SGN-40) was tolerated well amongst patients. Objective anti-tumour responses were reported in only a subset of patients (6 out of 50; 1 CR, 5 PR) (<xref ref-type="bibr" rid="B187">187</xref>). Other phase I and II trials on dacetuzumab in patients with multiple myeloma (MM) and diffuse large B-cell lymphoma (DLBCL), or on ChiLob7/4 (chimeric agonistic CD40 IgG1 mAb) in DLBCL patients have shown a similar safety profile as well as modest clinical activity (<xref ref-type="bibr" rid="B188">188</xref>&#x2013;<xref ref-type="bibr" rid="B190">190</xref>). Recently, mitazalimumab, a fully humanised agonistic CD40 IgG1 (alias: ADC1013) has been shown to encompass a manageable safety profile among 95 patients with advanced solid tumours, unfortunately not including any PLC patients. Only 1 out of 95 patients (RCC) experienced partial response (<xref ref-type="bibr" rid="B191">191</xref>). These data have pleaded for identifying patients that are sensitive to CD40 engagement and again argue for combining CD40 agonistic antibodies with other regimen to enhance clinical activity. To enhance polarisation of macrophages to the pro-inflammatory M1 phenotype, sotigalimab (humised IgG1 agonistic CD40 antibody; alias: APX005M) was combined with inhibition of CSFR1 via cabiralizumab and co-administered with nivolumab (anti-PD-1) in patients with anti-PD-1/PD-L1-resistant melanoma, RCC, and NSCLC (<xref ref-type="bibr" rid="B192">192</xref>). Though the triplet therapy was tolerated reasonably and patient&#x2019;s pharmacodynamics analysis suggested enhanced pro-inflammatory state, PR was reached in 1 out of 26 patients only. Lastly, in the phase 2 PRINCE trial studying nivolumab/chemotherapy, sotigalimab/chemotherapy, and nivolumab/sotigalimab/chemotherapy in metastatic PDAC patients, modest increase in OS has been observed in the nivolumab and sotigagalimab arms versus historical controls (<xref ref-type="bibr" rid="B193">193</xref>). However, only the nivolumab/chemotherapy arm met the primary study endpoint. Interestingly, analysis on PR-patients in the sotigalimab arm revealed that mainly genetic signatures related to CD4<sup>+</sup> T cells, B cells, and DC subsets tend to predict for improved OS, in line with the envisioned mechanism of CD40 stimulation. Therefore, since CD40-mediated ICS induces T cell priming, agonistic CD40 antibodies should rather be used in combination regimen that offer tumour specific antigens as T cell targets or alleviate T cell suppression, like vaccination approaches or ICI respectively. Recent studies also suggests that we may not be looking at the right compartment to observe an immunomodulatory effect of the treatment. We may need to focus on tumour-draining lymph nodes for markers that predict response to therapy (<xref ref-type="bibr" rid="B194">194</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Enhancing ICS-mediated anti-tumour activity in PLC</title>
<sec id="s4_1">
<label>4.1</label>
<title>Enhancing ICS-mediated anti-tumour activity in PLC requires a different approach compared to ICI</title>
<p>To date, the majority of phase 1 and 2 clinical trials on agonistic mAbs targeting immune co-stimulatory receptors as monotherapy or in combination with ICI have consistently shown no to modest anti-tumour activity only (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Though current regimens are tolerated well, none so far demonstrate enhanced clinical efficacy. Strategies to enhance ICS-mediated functionality either at low dosages or at higher dosages in a more tumour-restricted manner could aid to unlock the full therapeutic potential of ICS-mediated immunotherapy to enhance pre-existing <italic>in situ</italic> anti-tumour immunity. For PLC, the diverse repertoire of liver-resident immune cells and the expression of relating Fc&#x3b3; receptors (Fc&#x3b3;Rs) on these cells provides unique opportunities to deliver enhanced on-target ICS.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Immune co-stimulatory receptors are targeted using various antibodies in phase 1/2 clinical trials among various types of cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Target receptor</th>
<th valign="top" rowspan="2" align="center">Molecule</th>
<th valign="top" rowspan="2" align="center">Ab isotype</th>
<th valign="top" rowspan="2" align="center">Reference</th>
<th valign="top" rowspan="2" align="center">Phase</th>
<th valign="top" rowspan="2" align="center">Regimen</th>
<th valign="top" rowspan="2" align="center">N</th>
<th valign="top" colspan="2" align="center">Tumour</th>
<th valign="top" colspan="3" align="center">DCR (%)</th>
<th valign="top" rowspan="2" align="center">DLT (%)</th>
<th valign="top" colspan="3" align="center">Hepatoxicity (%)</th>
</tr>
<tr>
<th valign="top" align="center">Type</th>
<th valign="top" align="center">HCC/CCA</th>
<th valign="top" align="center">CR</th>
<th valign="top" align="center">PR</th>
<th valign="top" align="center">SD</th>
<th valign="top" align="center">Grade 1-2</th>
<th valign="top" align="center" colspan="2">Grade 3-4</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="center">CD27</td>
<td valign="top" rowspan="4" align="center">Varlilumab</td>
<td valign="top" rowspan="4" align="center">hIgG1</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B166">166</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">56</td>
<td valign="bottom" align="center">Metastatic solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/56 (0%)</td>
<td valign="bottom" align="center">1/56 (2%)</td>
<td valign="bottom" align="center">8/56 (14%)</td>
<td valign="bottom" align="center">1/56 (2%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B167">167</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">Refractory hematological tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">1/34 (3%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">4/34 (12%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">1/34 (3%)</td>
<td valign="bottom" align="center">1/34 (3%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B168">168</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Nivolumab combination</td>
<td valign="bottom" align="center">36</td>
<td valign="middle" rowspan="2" align="center">Unresectable/metastatic solid tumours</td>
<td valign="bottom" rowspan="2" align="center">-/-</td>
<td valign="bottom" align="center">0/36 (0%)</td>
<td valign="bottom" align="center">2/36 (6%)</td>
<td valign="bottom" align="center">11/36 (31%)</td>
<td valign="bottom" align="center">2/36 (6%)</td>
<td valign="bottom" colspan="2" align="center">4/36 (11%)</td>
</tr>
<tr>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">Nivolumab combination</td>
<td valign="bottom" align="center">139</td>
<td valign="bottom" align="center">1/139 (1%)</td>
<td valign="bottom" align="center">12/139 (9%)</td>
<td valign="bottom" align="center">37/139 (27%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" colspan="2" align="center">8/139 (6%)</td>
</tr>
<tr>
<td valign="top" rowspan="11" align="center">CD40</td>
<td valign="top" rowspan="3" align="center">Selicrelumab</td>
<td valign="top" rowspan="3" align="center">hIgG2</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B186">186</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">29</td>
<td valign="bottom" align="center">Stage III/IV solid tumours</td>
<td valign="bottom" align="center">-/2</td>
<td valign="bottom" align="center">0/29 (0%)</td>
<td valign="bottom" align="center">4/29 (14%)</td>
<td valign="bottom" align="center">7/29 (24%)</td>
<td valign="bottom" align="center">3/29 (10%)</td>
<td valign="bottom" align="center">5/29 (17%)</td>
<td valign="bottom" align="center">2/29 (7%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B195">195</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Carboplatin/Paclitaxel combination</td>
<td valign="bottom" align="center">32</td>
<td valign="bottom" align="center">Advanced solid tumours</td>
<td valign="bottom" align="center">-/1</td>
<td valign="bottom" align="center">0/32 (0%)</td>
<td valign="bottom" align="center">6/32 (19%)</td>
<td valign="bottom" align="center">12/32 (40%)</td>
<td valign="bottom" align="center">2/32 (6%)</td>
<td valign="bottom" align="center">0/32 (0%)</td>
<td valign="bottom" align="center">1/32 (3%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B196">196</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Gemcitabine combination</td>
<td valign="bottom" align="center">21</td>
<td valign="bottom" align="center">Irresectible PDAC</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">0/21 (0%)</td>
<td valign="bottom" align="center">4/21 (19%)</td>
<td valign="bottom" align="center">11/21 (52%)</td>
<td valign="middle" align="center">-</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Dacetuzumab</td>
<td valign="top" rowspan="4" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B187">187</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">50</td>
<td valign="bottom" align="center">Refractory/recurrent B cell NHL</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">1/50 (2%)</td>
<td valign="bottom" align="center">5/50 (10%)</td>
<td valign="bottom" align="center">13/50 (26%)</td>
<td valign="bottom" align="center">2/50 (4%)</td>
<td valign="bottom" align="center">24/50 (48%)</td>
<td valign="bottom" align="center">2/50 (4%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B188">188</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">44</td>
<td valign="bottom" align="center">Refractory/recurrent multiple myeloma</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">0/44 (0%)</td>
<td valign="bottom" align="center">0/44 (0%)</td>
<td valign="bottom" align="center">9/44 (20%)</td>
<td valign="bottom" align="center">6/44 (14%)</td>
<td valign="bottom" align="center">14/44 (32%)</td>
<td valign="bottom" align="center">4/44 (9%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B189">189</xref>)</td>
<td valign="bottom" align="center">2</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">46</td>
<td valign="bottom" align="center">Refractory/recurrent DLBCL</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">2/46 (4%)</td>
<td valign="bottom" align="center">2/46 (4%)</td>
<td valign="bottom" align="center">13/46 (28%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">18/46 (39%)</td>
<td valign="bottom" align="center">1/46 (2%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B190">190</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">29</td>
<td valign="bottom" align="center">Refractory solid tumours/DLBCL</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/29 (0%)</td>
<td valign="bottom" align="center">0/29 (0%)</td>
<td valign="bottom" align="center">15/29 (52%)</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">3/29 (10%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Mitazalimumab</td>
<td valign="bottom" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B191">191</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">95</td>
<td valign="bottom" align="center">Advanced solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/95 (0%)</td>
<td valign="bottom" align="center">1/95 (1%)</td>
<td valign="bottom" align="center">35/95 (37%)</td>
<td valign="bottom" align="center">2/95 (2%)</td>
<td valign="bottom" align="center">15/95 (16%)</td>
<td valign="bottom" align="center">5/95 (5%)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="center">Sotigalimab</td>
<td valign="top" rowspan="3" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B192">192</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Cabiralizumab/nivolumab comination</td>
<td valign="bottom" align="center">26</td>
<td valign="bottom" align="center">Anti-PD-1 resistant melanoma, RCC, NSCLC</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">0/26 (0%)</td>
<td valign="bottom" align="center">1/26 (4%)</td>
<td valign="bottom" align="center">8/26 (31%)</td>
<td valign="bottom" align="center">1/26 (4%)</td>
<td valign="bottom" align="center">14/26 (54%)</td>
<td valign="bottom" align="center">11/26 (42%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B193">193</xref>)</td>
<td valign="bottom" rowspan="2" align="center">1/2</td>
<td valign="top" align="center">Gemcitabine/nab-paclitaxel combination</td>
<td valign="bottom" align="center">36</td>
<td valign="top" rowspan="2" align="center">Metastatic PDAC</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="bottom" align="center">0/36 (0%)</td>
<td valign="bottom" align="center">12/36 (33%)</td>
<td valign="bottom" align="center">16/36 (44%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">12/36 (33%)</td>
<td valign="bottom" align="center">18/36 (50%)</td>
</tr>
<tr>
<td valign="top" align="center">Gemcitabine/nab-paclitaxel/nivolumab combination</td>
<td valign="bottom" align="center">35</td>
<td valign="bottom" align="center">0/35 (0%)</td>
<td valign="bottom" align="center">11/35 (31%)</td>
<td valign="bottom" align="center">13/35 (37%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">11/35 (32%)</td>
<td valign="bottom" align="center">15/35 (43%)</td>
</tr>
<tr>
<td valign="top" rowspan="18" align="center">OX40</td>
<td valign="bottom" align="center">9B12</td>
<td valign="bottom" align="center">mIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B129">129</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">Refractory metastatic solid tumours</td>
<td valign="bottom" align="center">NR</td>
<td valign="bottom" align="center">0/35 (0%)</td>
<td valign="bottom" align="center">0/35 (0%)</td>
<td valign="bottom" align="center">25/30 (83%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">3/30 (10%)</td>
<td valign="bottom" align="center">0/30 (0%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Tavolimab</td>
<td valign="top" rowspan="4" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B130">130</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">55</td>
<td valign="bottom" align="center">Recurrent/metastatic solid tumours</td>
<td valign="bottom" align="center">1/-</td>
<td valign="bottom" align="center">0/50 (0%)</td>
<td valign="bottom" align="center">2/50 (4%)</td>
<td valign="bottom" align="center">22/50 (44%)</td>
<td valign="bottom" align="center">1/49 (2%)</td>
<td valign="bottom" align="center">0/55 (0%)</td>
<td valign="bottom" align="center">0/55 (0%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Neoadjuvant to surgical resection</td>
<td valign="bottom" align="center">17</td>
<td valign="bottom" align="center">Resectable HNSCC</td>
<td valign="bottom" align="center">NA</td>
<td valign="middle" colspan="3" align="center">-</td>
<td valign="bottom" align="center">0/17 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B136">136</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Durvalumab combination</td>
<td valign="bottom" align="center">27</td>
<td valign="middle" rowspan="2" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">0/1</td>
<td valign="bottom" align="center">0/21 (0%)</td>
<td valign="bottom" align="center">3/21 (14%)</td>
<td valign="bottom" align="center">9/21 (43%)</td>
<td valign="bottom" align="center">2/27 (7%)</td>
<td valign="bottom" colspan="2" align="center">5/27 (19%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Tremelimumab combination</td>
<td valign="bottom" align="center">31</td>
<td valign="bottom" align="center">1/2</td>
<td valign="bottom" align="center">0/25 (0%)</td>
<td valign="bottom" align="center">0/25 (0%)</td>
<td valign="bottom" align="center">9/25 (36%)</td>
<td valign="bottom" align="center">3/31 (10%)</td>
<td valign="bottom" colspan="2" align="center">3/31 (10%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">BMS-986178</td>
<td valign="top" rowspan="4" align="center">hIgG1</td>
<td valign="top" rowspan="4" align="center">(<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" rowspan="4" align="center">1/2</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">20</td>
<td valign="top" rowspan="4" align="center">Refractory/recurrent solid tumours</td>
<td valign="middle" rowspan="4" align="center">NR</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="bottom" align="center">7/20 (35%)</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Nivolumab combination</td>
<td valign="bottom" align="center">81</td>
<td valign="bottom" align="center">1/79 (1%)</td>
<td valign="bottom" align="center">5/79 (6%)</td>
<td valign="bottom" align="center">27/79 (34%)</td>
<td valign="bottom" align="center">0/43 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Ipilimumab combination</td>
<td valign="bottom" align="center">41</td>
<td valign="bottom" align="center">0/40 (0%)</td>
<td valign="bottom" align="center">0/40 (0%)</td>
<td valign="bottom" align="center">9/40 (23%)</td>
<td valign="bottom" align="center">0/35 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Nivolumab/Ipilimumab combination</td>
<td valign="bottom" align="center">23</td>
<td valign="bottom" align="center">0/23 (0%)</td>
<td valign="bottom" align="center">3/23 (13%)</td>
<td valign="bottom" align="center">12/23 (52%)</td>
<td valign="middle" align="center">-</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">Ivuxolimab</td>
<td valign="top" rowspan="4" align="center">hIgG2</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B132">132</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">52</td>
<td valign="top" align="center">Advanced solid tumours</td>
<td valign="bottom" align="center">19/-</td>
<td valign="bottom" align="center">0/52 (0%)</td>
<td valign="bottom" align="center">3/52 (6%)</td>
<td valign="bottom" align="center">26/52 (50%)</td>
<td valign="bottom" align="center">0/52 (0%)</td>
<td valign="bottom" colspan="2" align="center">11 (21%)</td>
</tr>
<tr>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B134">134</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">4</td>
<td valign="top" align="center">Refractory/recurrent AML</td>
<td valign="bottom" align="center">NA</td>
<td valign="middle" colspan="3" align="center">-</td>
<td valign="bottom" align="center">0/4 (0%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">0/4 (0%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B137">137</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="top" rowspan="2" align="center">Utolimumab combination</td>
<td valign="bottom" align="center">57</td>
<td valign="top" rowspan="2" align="center">Refractory advanced NSCLC, HNSCC, melanoma, UCC, Cervical cancer, GC</td>
<td valign="middle" rowspan="2" align="center">NA</td>
<td valign="bottom" align="center">0/57 (0%)</td>
<td valign="bottom" align="center">2/57 (4%)</td>
<td valign="bottom" align="center">18/57 (32%)</td>
<td valign="bottom" align="center">0/57 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">0/30 (0%)</td>
<td valign="bottom" align="center">1/30 (3%)</td>
<td valign="bottom" align="center">14 (47%)</td>
<td valign="bottom" align="center">0/30 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">ICAGN01949</td>
<td valign="top" rowspan="2" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B133">133</xref>)</td>
<td valign="top" rowspan="2" align="center">1/2</td>
<td valign="top" rowspan="2" align="center">Monotherapy</td>
<td valign="bottom" align="center">23</td>
<td valign="top" rowspan="2" align="center">Refractory advanced solid tumours</td>
<td valign="middle" rowspan="2" align="center">2/2</td>
<td valign="middle" rowspan="2" align="center">0/87 (0%)</td>
<td valign="middle" rowspan="2" align="center">1/87 (1%)</td>
<td valign="middle" rowspan="2" align="center">23/87 (26%)</td>
<td valign="middle" rowspan="2" align="center">1/87 (1%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">64</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="center">GSK3174998</td>
<td valign="top" rowspan="3" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B135">135</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">45</td>
<td valign="top" rowspan="2" align="center">Advanced/recurrent bladder cancer, CRC-MSI-H, HNSCC, melanoma, NSCLC, RCC, STS, TNBC</td>
<td valign="middle" rowspan="2" align="center">NA</td>
<td valign="bottom" align="center">0/45 (0%)</td>
<td valign="bottom" align="center">0/45 (0%)</td>
<td valign="bottom" align="center">4/45 (9%)</td>
<td valign="bottom" align="center">0/45 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Pembrolizumab combination</td>
<td valign="bottom" align="center">96</td>
<td valign="bottom" align="center">2/96 (2%)</td>
<td valign="bottom" align="center">4/96 (4%)</td>
<td valign="bottom" align="center">15/96 (16%)</td>
<td valign="bottom" align="center">2/96 (2%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B138">138</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">GSK1795091 combination</td>
<td valign="bottom" align="center">30</td>
<td valign="bottom" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">NR</td>
<td valign="bottom" align="center">0/30 (0%)</td>
<td valign="bottom" align="center">1/30 (3%)</td>
<td valign="bottom" align="center">10/30 (33%)</td>
<td valign="bottom" align="center">1/30 (3%)</td>
<td valign="bottom" colspan="2" align="center">1/30 (3%)</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">4-1BB</td>
<td valign="top" rowspan="4" align="left">Urelumab</td>
<td valign="top" rowspan="4" align="left">hIgG4</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="bottom" align="center">1/2</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">346</td>
<td valign="bottom" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">144/346 (42%)</td>
<td valign="bottom" align="center">44/346 (13%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B96">96</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">60</td>
<td valign="top" rowspan="2" align="center">Refractory/recurrent hematological tumours</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="bottom" align="center">3/60 (5%)</td>
<td valign="bottom" align="center">3/60 (5%)</td>
<td valign="bottom" align="center">11/60 (18%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">3/60 (5%)</td>
<td valign="bottom" align="center">1/60 (2%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Rituximab combination</td>
<td valign="bottom" align="center">46</td>
<td valign="bottom" align="center">4/46 (9%)</td>
<td valign="bottom" align="center">5/46 (11%)</td>
<td valign="bottom" align="center">10/46 (22%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">7/46 (15%)</td>
<td valign="bottom" align="center">1/46 (2%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B197">197</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Nivolumab combination adjuvant to SBRT</td>
<td valign="bottom" align="center">23</td>
<td valign="bottom" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/1</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">0/23 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Utomilumab</td>
<td valign="top" rowspan="6" align="left">hIgG2</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">55</td>
<td valign="bottom" align="center">Advanced solid tumours/Merkel cell lymphoma</td>
<td valign="bottom" align="center">3/-</td>
<td valign="bottom" align="center">1/53 (2%)</td>
<td valign="bottom" align="center">1/53 (2%)</td>
<td valign="bottom" align="center">13/53 (25%)</td>
<td valign="bottom" align="center">0/55 (0%)</td>
<td valign="bottom" align="center">23/55 (42%)</td>
<td valign="bottom" align="center">0/55 (0%)</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Pembrolizumab combination</td>
<td valign="bottom" align="center">23</td>
<td valign="bottom" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">2/23 (9%)</td>
<td valign="bottom" align="center">4/23 (17%)</td>
<td valign="bottom" align="center">10/23 (44%)</td>
<td valign="bottom" align="center">0/23 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="bottom" align="center">Mogalizumab combination</td>
<td valign="bottom" align="center">24</td>
<td valign="top" align="center">PD-1/PD-L1 refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="bottom" align="center">1/20 (5%)</td>
<td valign="bottom" align="center">9/20 (45%)</td>
<td valign="bottom" align="center">0/24 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B198">198</xref>)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">Rituximab combination</td>
<td valign="bottom" align="center">66</td>
<td valign="top" align="center">Refractory/recurrent hematological tumours</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">4/66 (6%)</td>
<td valign="bottom" align="center">10/66 (15%)</td>
<td valign="bottom" align="center">28/66 (42%)</td>
<td valign="bottom" align="center">0/66 (0%)</td>
<td valign="middle" align="center">16/66 (24%)</td>
<td valign="middle" align="center">1/66 (2%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B100">100</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Avelumab/rituximab combination</td>
<td valign="bottom" align="center">9</td>
<td valign="top" rowspan="2" align="center">Refractory/recurrent DLBCL</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="bottom" align="center">0/9 (0%)</td>
<td valign="bottom" align="center">1/9 (11%)</td>
<td valign="bottom" align="center">1/9 (11%)</td>
<td valign="bottom" align="center">1/7 (14%)</td>
<td valign="middle" rowspan="2" colspan="3" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Avelumab/azacitidine combination</td>
<td valign="bottom" align="center">9</td>
<td valign="bottom" align="center">0/9 (0%)</td>
<td valign="bottom" align="center">0/9 (0%)</td>
<td valign="bottom" align="center">0/9 (0%)</td>
<td valign="bottom" align="center">0/9 (0%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center">ICOS</td>
<td valign="top" rowspan="2" align="center">Vopratelimab</td>
<td valign="top" rowspan="2" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" rowspan="2" align="center">1/2</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">70</td>
<td valign="middle" rowspan="2" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/2</td>
<td valign="bottom" colspan="2" align="center">1/70 (1%)</td>
<td valign="bottom" align="left">9/70 (13%)</td>
<td valign="bottom" align="left">2/70 (3%)</td>
<td valign="bottom" align="center">2/70 (3%)</td>
<td valign="bottom" align="center">2/70 (3%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Nivolumab combination</td>
<td valign="bottom" align="center">131</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" colspan="2" align="center">3/131 (2%)</td>
<td valign="bottom" align="left">27/131 (21%)</td>
<td valign="bottom" align="left">0/131 (0%)</td>
<td valign="bottom" align="center">6/131 (5%)</td>
<td valign="bottom" align="center">4/131 (3%)</td>
</tr>
<tr>
<td valign="top" align="center">GSK3359609</td>
<td valign="top" align="center">hIgG4</td>
<td valign="top" align="center">(<xref ref-type="bibr" rid="B138">138</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">GSK1795091 combination</td>
<td valign="bottom" align="center">11</td>
<td valign="bottom" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">NR</td>
<td valign="bottom" align="center">0/11 (0%)</td>
<td valign="bottom" align="center">0/11 (0%)</td>
<td valign="bottom" align="center">2/11 (18%)</td>
<td valign="bottom" align="center">0/11 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" align="center">MEDI-570</td>
<td valign="top" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B199">199</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">23</td>
<td valign="bottom" align="center">Refractory T-NHL</td>
<td valign="bottom" align="center">NA</td>
<td valign="bottom" align="center">2/21 (10%)</td>
<td valign="bottom" align="center">5/21 (24%)</td>
<td valign="bottom" align="center">7/21 (33%)</td>
<td valign="bottom" align="center">0/23 (0%)</td>
<td valign="bottom" align="center">3/23 (13%)</td>
<td valign="bottom" align="center">1/23 (4%)</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="center">GITR</td>
<td valign="bottom" align="center">TRX-518</td>
<td valign="bottom" align="center">hIgG1</td>
<td valign="bottom" align="center">(<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="bottom" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">43</td>
<td valign="bottom" align="center">Refractory solid tumours</td>
<td valign="bottom" align="center">2/1</td>
<td valign="bottom" align="center">0/43 (0%)</td>
<td valign="bottom" align="center">0/43 (0%)</td>
<td valign="bottom" align="center">4/43 (9%)</td>
<td valign="bottom" align="center">0/43 (0%)</td>
<td valign="middle" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">MK-1248</td>
<td valign="top" rowspan="2" align="center">hIgG4</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B154">154</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">20</td>
<td valign="top" rowspan="2" align="center">Refractory metastatic solid tumours</td>
<td valign="bottom" align="center">1/0</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="bottom" align="center">3/20 (15%)</td>
<td valign="bottom" align="center">0/20 (0%)</td>
<td valign="middle" rowspan="2" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Pembrolizumab combination</td>
<td valign="bottom" align="center">17</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">1/17 (6%)</td>
<td valign="bottom" align="center">2/17 (12%)</td>
<td valign="bottom" align="center">5/17 (29%)</td>
<td valign="bottom" align="center">0/17 (0%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">BMS-986156</td>
<td valign="top" rowspan="2" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" rowspan="2" align="center">1/2</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">34</td>
<td valign="top" rowspan="2" align="center">Refractory advanced solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">11/34 (32%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
<td valign="bottom" align="center">0/34 (0%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Nivolumab combination</td>
<td valign="bottom" align="center">258</td>
<td valign="bottom" align="center">14/-</td>
<td valign="bottom" align="center">2/258 (1%)</td>
<td valign="bottom" align="center">19/258 (7%)</td>
<td valign="bottom" align="center">84/258 (33%)</td>
<td valign="bottom" align="center">1/258 (1%)</td>
<td valign="bottom" align="center">3/258 (1%)</td>
<td valign="bottom" align="center">2/258 (1%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">MK-4166</td>
<td valign="top" rowspan="2" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B155">155</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">48</td>
<td valign="top" rowspan="2" align="center">Metastatic solid tumours</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0%</td>
<td valign="bottom" align="center">0%</td>
<td valign="bottom" align="center">23%</td>
<td valign="bottom" align="center">1/48 (2%)</td>
<td valign="middle" rowspan="2" colspan="2" align="center">-</td>
</tr>
<tr>
<td valign="bottom" align="center">Pembrolizumab combination</td>
<td valign="bottom" align="center">65</td>
<td valign="bottom" align="center">1/-</td>
<td valign="bottom" align="center">0%</td>
<td valign="bottom" align="center">2%</td>
<td valign="bottom" align="center">25%</td>
<td valign="bottom" align="center">0/65 (0%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">GWN323</td>
<td valign="top" rowspan="2" align="center">hIgG1</td>
<td valign="top" rowspan="2" align="center">(<xref ref-type="bibr" rid="B156">156</xref>)</td>
<td valign="top" rowspan="2" align="center">1</td>
<td valign="bottom" align="center">Monotherapy</td>
<td valign="bottom" align="center">39</td>
<td valign="top" rowspan="2" align="center">Advanced solid tumours/lymphomas</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">0/39 (0%)</td>
<td valign="bottom" align="center">0/39 (0%)</td>
<td valign="bottom" align="center">7/39 (18%)</td>
<td valign="bottom" align="center">0/39 (0%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">0/39 (0%)</td>
</tr>
<tr>
<td valign="bottom" align="center">Spartalizumab combination</td>
<td valign="bottom" align="center">53</td>
<td valign="bottom" align="center">-/-</td>
<td valign="bottom" align="center">1/53 (2%)</td>
<td valign="bottom" align="center">3/53 (6%)</td>
<td valign="bottom" align="center">14/53 (26%)</td>
<td valign="bottom" align="center">3/53 (6%)</td>
<td valign="middle" align="center">-</td>
<td valign="bottom" align="center">6/53 (11%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AML, acute myeloid leukemia; CCA, cholangiocarcinoma; CR, complete response; CRC, colorectal carcinoma; DCR, disease control rate; DLBCL, diffuse large B cell lymphoma; DLT, drug-related toxicity; GC, gastric cancer; HCC, hepatocellular carcinoma; hIg, humanized immunoglobulin; HNSCC, head and neck squamous cell carcinoma; mIg, mouse immunoglobulin; NA, not applicable; NHL, non-Hodgkin lymphoma; NR, not-reported; NSCLC, non-squamous cell lung carcinoma; PDAC, pancreatic ductal adenocarcinoma; PD1, programmed death-1; PR, partial response; RCC, renal cell carcinoma; SD, stable disease; STS, soft tissue sarcoma; TNBC, triple negative breast cancer; UCC, urothelial cell carcinoma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Translating principal differences of agonistic ICS Abs compared to antagonistic ICI Abs</title>
<p>Up to now, much clinical experience on anti-cancer immunotherapy has been obtained from large cohort studies. However, these studies have primarily focused on ICI using antagonising mAb. In contrast, high affinity towards cognate epitopes as well as ligand competition are of less importance to agonistic ICS approaches and this needs to be considered when developing such strategies.</p>
</sec>
<sec id="s4_1_2">
<label>4.1.2</label>
<title>Receptor super clustering is essential for downstream signaling of ICS</title>
<p>By nature, CD28-, ICOS-, and TNFRSF-mediated ICS signaling requires clustering or higher-order oligomerisation of costimulatory receptors: receptor super clustering (<xref ref-type="bibr" rid="B200">200</xref>). For example, soluble TNFRSF ligands demonstrate reduced agonistic capacities compared to membrane bound forms. A key factor for optimal ICS following agonistic binding is the potential of the mAb for multivalent binding and induction of receptor super clustering (<xref ref-type="bibr" rid="B201">201</xref>). Natural IgSF ligands (e.g., B7H1, ICOSL) configure as homodimers that account for bivalent engagement of separate singular IgSF receptors. Moreover, natural TNF ligands mostly present as tertiary confirmations that engage with cognate receptors in receptor-trimer complexes (i.e., 3:3 configuration). Receptor complex multimerisation has been demonstrated to greatly enhance co-stimulatory receptor activation. Preclinical and clinical trials have proven the synergistic effect of receptor clustering through the application of receptor ligands as well as multivalent ligands compared to monomeric signaling (<xref ref-type="bibr" rid="B202">202</xref>&#x2013;<xref ref-type="bibr" rid="B204">204</xref>). Multivalent agonistic aptamers directed to OX40 and 4-1BB have shown to induce greater TNFRSF activation (<xref ref-type="bibr" rid="B205">205</xref>, <xref ref-type="bibr" rid="B206">206</xref>). <italic>In vitro</italic> activation of HCC-derived TILs was enhanced upon exposure to multimeric OX40L and GITRL, whereas monomeric Abs did not or hardly stimulate CD4<sup>+</sup> and CD8<sup>+</sup> T cell proliferation, respectively (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B152">152</xref>). Concordantly, whenever OX40 mAbs were coupled to beads, creating multimeric anti-OX40 IgG2, TIL expansion increased. These results highlight the significant role of TNFRSF multimerisation for activating TILs in HCC. Consequently, current agonistic ICS mAb may establish suboptimal receptor super clustering and this should be optimised to enhance ICS-mediated T cell activation.</p>
</sec>
<sec id="s4_1_3">
<label>4.1.3</label>
<title>Enhancement of Fc&#x3b3;RIIB affinity increases the agonist potential of mAb through multimerisation</title>
<p>Natural IgG is capable of bridging multiple receptors via the two connected antigen-binding fragments (Fab) that induce monomer-monomer or oligomer interactions albeit insufficient to support proper ICS (<xref ref-type="bibr" rid="B207">207</xref>). Agonistic mAb should either actively drive receptor oligomerisation, stabilise self-assembled receptor oligomers, or bridge between pre-existing receptor-trimers (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Receptor-trimer bridging can be achieved using Fc&#x3b3;R-mediated receptor crosslinking. Fc&#x3b3;Rs bind the constant crystallizable fragment (Fc) domain of IgGs, and depending of the subtypes this binding induces activating or inhibitory signals regulating the function of various immune subsets (<xref ref-type="bibr" rid="B208">208</xref>). In human, six different Fc&#x3b3;Rs have been described of which 5 immune-activating (high affinity immunoglobulin-&#x3b3; FcRI, Fc&#x3b3;RI; low affinity immunoglobulin- &#x3b3; FcRIIa, Fc&#x3b3;RIIA; low affinity immunoglobulin-&#x3b3; FcRIIc, Fc&#x3b3;RIIC; low affinity immunoglobulin-&#x3b3; FcRIIIa, Fc&#x3b3;IIIA; low affinity immunoglobulin-&#x3b3; FcRIIIb, Fc&#x3b3;IIIB) and 1 inhibitory variant (Fc&#x3b3;RIIB) (<xref ref-type="bibr" rid="B208">208</xref>). The inhibitory Fc&#x3b3;RIIB is expressed on APC and myeloid subsets (DC, macrophage, B cell, NK cell, etc.) and uniquely functions as a scaffold crosslinking IgGs which can be exploited to crosslink also agonistic mAb (<xref ref-type="bibr" rid="B208">208</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Agonistic mAb require receptor oligomerisation as can be enhanced by increased Fc&#x3b3;R-affinity. To induce strong activation, agonistic mAb should either actively drive receptor oligomerisation, stabilise self-assembled receptor oligomers, or bridge between pre-existing receptor-trimers. Receptor-trimer bridging is achieved via Fc&#x3b3;R-mediated receptor crosslinking. Fc&#x3b3;R-expressing APCs bind to the Fc-region of the antibody that is bound to the target receptor expressed by T cells. Increased Fc&#x3b3;R-affinity can enhance the extent of Fc&#x3b3;R superclustering thereby inducing strong T cell activation followed by proliferation or enhanced ADCC/ADCP-mediated cellular cytotoxicity of for in stance immunosuppressive Tregs.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1357333-g003.tif"/>
</fig>
<p>In HCC-derived TILs Fc&#x3b3;RIIB is widely expressed, facilitating the Fc&#x3b3;RIIB-dependent effect of any agonistic ICS mAb. The majority of intra-tumoural B cells and cDCs express Fc&#x3b3;RIIB and to a smaller extent it is expressed on monocytes and NK cells (<xref ref-type="bibr" rid="B126">126</xref>). Binding to inhibitory Fc&#x3b3;RIIB has been widely demonstrated to be of utmost importance for agonistic mAbs to drive potent CD28-, CD40-, OX40-, and 4-1BB-mediated ICS via receptor trimerisation (<xref ref-type="bibr" rid="B209">209</xref>&#x2013;<xref ref-type="bibr" rid="B211">211</xref>). After mAb engage with their cognate TNFRSF epitope their Fc domains are captured by Fc&#x3b3;RIIB-expressing APCs or myeloid cells forming a scaffold facilitating TNFRSF clustering and activation <italic>in trans</italic>. Accordingly, Campos-Carrascosa and colleagues treated HCC-derived TILs with an Fc-engineered &#x3b1;OX40 human IgG1 antibody, termed &#x3b1;OX40_v12, that contained six mutations leading to increased affinity to Fc&#x3b3;RIIB (E223D, G237D, H268D, P271G, Y296D, A330R). When compared to the native agonistic &#x3b1;OX40 human IgG1 antibody &#x3b1;OX40_v12 appeared to improve <italic>in vitro</italic> TIL expansion and functionality. These novel generation Fc-engineered agonistic mAbs are currently widely studied (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B212">212</xref>, <xref ref-type="bibr" rid="B213">213</xref>).</p>
</sec>
<sec id="s4_1_4">
<label>4.1.4</label>
<title>Enhancement of activating Fc&#x3b3;R engagement potentiates ADCC/ADCP-mediated anti-tumour activity of ICS agonistic Abs</title>
<p>In contrast to current ICI that relies mostly on direct T cell activation, agonistic ICS mAbs may also stimulate CD8<sup>+</sup> effector T cells indirectly by the depletion of immunosuppressive cells (e.g., Treg). Antibodies binding to activating Fc&#x3b3;Rs expressed by NK cells, macrophages, or granulocytes, can trigger cell-mediated cytotoxic effector functions such as antibody-dependent cellular cytotoxicity (ADCC) and phagocytosis (ADCP) (<xref ref-type="bibr" rid="B214">214</xref>, <xref ref-type="bibr" rid="B215">215</xref>). Upon mAb-antigen recognition, target cells are opsonised by antibodies, recognised by activating Fc&#x3b3;R expressing cells and subsequently directly killed or phagocytosed by these cells. In human, Fc&#x3b3;R3, expressed on NK cells and monocytes, is considered the primary activating receptor driving ADCC (<xref ref-type="bibr" rid="B216">216</xref>).</p>
<p>Whereas inhibitory Fc&#x3b3;R2B engagement stimulates downstream signaling through receptor multimerisation, activating Fc&#x3b3;R binding facilitates ADCC and ADCP activities of agonist ICS mAbs (<xref ref-type="bibr" rid="B157">157</xref>). Notably, engagement by Fc&#x3b3;R2B reduces antibody availability for activating Fc&#x3b3;Rs (<xref ref-type="bibr" rid="B217">217</xref>). Therefore, IgG isotype selection is critical for the design of ICS mAb therapies. IgG1 has highest affinity to all activating Fc&#x3b3;Rs, whereas IgG2 and IgG4 only bind moderately to Fc&#x3b3;RII and Fc&#x3b3;R1 (IgG4 only) (<xref ref-type="bibr" rid="B216">216</xref>). mAbs with so called high activating: inhibitory (A:I) ratios tend to have greater cell-mediated cytotoxic effector functions, but lower agonistic activity (<xref ref-type="bibr" rid="B218">218</xref>). To establish effective anti-tumour immunity through ICS mAbs (esp. of the IgG1 isotype), the relative effect of immune cell activation <italic>versus</italic> immune cell depletion is likely determined by the tumour&#x2019;s immune context.</p>
<p>As the TIME of PLC is highly enriched by immunosuppressive Tregs that hamper cytotoxic T cell-mediated anti-tumour immunity, greater ADCC effects might be desired rather than direct immune cell activation. Both HCC- and CCA-derived tumour infiltrating Tregs express high levels of co-stimulatory IgSF (ICOS) and TNFRSF (4-1BB, OX40, GITR) members (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B124">124</xref>, <xref ref-type="bibr" rid="B126">126</xref>). As such, agonistic ICS mAbs of the IgG1 isotype might be of particular interest in depleting immune suppressive Tregs through ADCC mediated by liver resident Kupffer cells and NK cells that express relative high levels of Fc&#x3b3;RIII (<xref ref-type="bibr" rid="B219">219</xref>, <xref ref-type="bibr" rid="B220">220</xref>). Similar to discussed Fc-engineering strategies to increase binding to Fc&#x3b3;RIIB, approaches to specifically enhance binding of the Fc domain to activating Fc&#x3b3;Rs could be employed to potentiate ADCC/ADCP-mediated anti-tumour activity of ICS agonistic Abs. Full anti-tumour immunity is however likely not to be expected from depletion of immunosuppressive subsets alone. Among various solid tumours in human, including HCC and CCA, Treg depletion by GITR agonism did increase Teff: Treg ratios, but was not sufficient to activate cytolytic cells due to persistent <italic>in situ</italic> TIL exhaustion (<xref ref-type="bibr" rid="B30">30</xref>). Accordingly, cytotoxic T cell re-invigoration in PLC might be supported by depletion of Tregs or any other immunosuppressing subsets but should likely be supported by ICS-mediated T cell activation and ICI in the appropriate dosing-regimen as well.</p>
</sec>
<sec id="s4_1_5">
<label>4.1.5</label>
<title>Agonist ICS mAbs require different dosing-regimen compared to ICI mAbs</title>
<p>In contrast to conventional ICI mAbs, ICS demonstrate a variable dose-response relationship. Classical mAbs primarily achieve clinical activity through receptor antagonism or ADCC, ADCP, and complement-dependent cytotoxicity (CDC). These modes of action establish optimal functionality at binding saturation of the cognate receptors. At peak receptor occupancy, increased dosage concentration will not induce any additional effect thereby reaching a plateau (<xref ref-type="bibr" rid="B201">201</xref>). In contrast, preclinical <italic>in vitro</italic> studies on ICS have shown clinical activity to decrease after a peak at specific concentrations has been reached (<xref ref-type="bibr" rid="B221">221</xref>, <xref ref-type="bibr" rid="B222">222</xref>). Thus, agonistic ICS mAbs act in a <italic>bell-shaped</italic> dose-response rather than the classical <italic>sigmoidal</italic> dose-response functionality.</p>
<p>This mechanism might be partly attributed to the mAbs&#x2019; stoichiometric binding properties to the cognate receptors (<xref ref-type="bibr" rid="B201">201</xref>, <xref ref-type="bibr" rid="B222">222</xref>). Theoretically, formation of maximal receptor superclustering should be achieved upon bisected molar concentrations of antibody to receptor thereby providing optimal bridging between the both. If antibody or receptor abundance exceed each other, inadequate antibody-receptor bridging would be established leading to isolated complexes with a 2:1 or 1:2 stoichiometry, respectively. At the dose-optimum, effective ICS-mediated T cell activation can be solely established directly via maximal receptor multimerisation. Therefore, optimal dosing strategies may require adaptations based on biomarkers (e.g., T cell proliferation or activation) to carefully monitor these dynamics.</p>
<p>Secondly, optimal activity at a certain dose-optimum might be explained by dynamical T cell functionality as well. Prolonged T cell activation through chronic antigen exposure via ICS-supported TCR signaling drives immune cell exhaustion leading to downregulation and activation-induced cell death. Whereas ICI mAbs disinhibit T cells that have been primed already, high dose agonistic ICS mAb concentrations could facilitate substantial T cell priming and overstimulation favouring subsequent T cell exhaustion. Combination regimen incorporating ICI might be a logical consideration to revert T cell exhaustion. However, albeit administered concomitantly rather than sequentially, various clinical trials failed to show any additional effect of ICS/ICI combination therapy over ICS monotherapies (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B135">135</xref>, <xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B154">154</xref>, <xref ref-type="bibr" rid="B168">168</xref>). Therefore, better understanding of the process of T cell differentiation; in particular on the relation between priming, activation and exhaustion, is crucial. Effective combination regimen should preferentially first apply ICS agonists to enable tumour-specific T cell activation possibly even towards exhaustion. As activation and exhaustion are characterised by enhanced co-inhibitory receptor expression, this approach should then be followed by ICI mAbs to prevent suppression via co-inhibitory receptor ligands in the TIME (<xref ref-type="bibr" rid="B215">215</xref>, <xref ref-type="bibr" rid="B223">223</xref>).</p>
<p>Other than ICI that bind to broadly expressed co-inhibitory receptors, co-stimulatory receptor expression might be relatively low on effector TILs, particularly on the cytotoxic immune compartments. As mentioned previously, co-stimulatory receptors are expressed fairly transiently on activated CD4<sup>+</sup> and CD8<sup>+</sup> T cells. However, HCC- and CCA-derived TILs demonstrate relatively lower expression of ICOS, OX40, and GITR on CD8<sup>+</sup> T and (a)Th cells when compared to (a)Tregs (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B152">152</xref>). and thus it might be required to re-prime TILs prior to administration of any agonistic ICS Ab (combination) regimen. Strikingly, the pre-activation status of TILs correlated positively to <italic>ex vivo</italic> response rates upon OX40-mediated ICS (<xref ref-type="bibr" rid="B126">126</xref>). Several strategies could be of use here. i.e., toll-like receptor (TLR) agonists, vaccination, radiation or low dose metronomic chemotherapy to achieve immunogenic cell death. In HCC, previous locoregional therapies demonstrate to enhance Ki67 expression in HCC-derived TILs (<xref ref-type="bibr" rid="B126">126</xref>, <xref ref-type="bibr" rid="B224">224</xref>). Thus, these data support the concept of <italic>priming</italic> the TIME prior to ICS-mediated anti-tumour immunity in PLC.</p>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Tumour-targeted delivery of ICS through bispecific antibody approaches can reduce off-target (hepatotoxic) effects</title>
<p>Although, agonistic ICS mAbs aim to enhance anti-tumour functionality, they have been demonstrated to cause treatment-related immune-mediated adverse events. To some extent, prior priming of immune cells using locoregional therapies might direct immune activation towards the TIME. However, these effects may extend to non-tumourous surrounding tissues as well, potentially contributing to severe organ damage. Therefore, more tumour-restricted delivery of immune activation may be warranted by obligate bispecific antibodies (bsAbs).</p>
<p>Engineered IgG-like bsAbs have a single IgG incorporating two Fab arms that have distinct antigen specificities and can therefore be directed to distinct receptors (<xref ref-type="bibr" rid="B225">225</xref>). Physical linkage of two binding specificities warrants a dependency that can be either spatial (in-trans) or temporal (in-cis) (<xref ref-type="bibr" rid="B226">226</xref>). In-trans binding redirects effector T cell cytotoxicity to specifically eliminate target cells by linking T cells with tumour cells to form an immune synapse via a T-cell and tumour-binding domain. Similarly, ICS agonists functionality can be directed to the TIME using tumour-restricted antigen thereby increasing therapeutic efficacy and minimising any off-target ICS activities. Moreover, application of an ICS binding domain will not only attract T cells to the tumour site, but co-stimulatory receptor expressing NK cells as well, potentially leading to NK cell mediated toxicity. In-cis binding bi-specific antibodies co-targeting 2 receptors on the same cells may be used to restrict ICS activation to tumour-reactive T cells. Binding to distinct receptors would allow to simultaneously block two pathways (antagonist-antagonist pairing; e.g., PD-1 and CTLA-4) or pair antagonist to agonist (e.g., PD-1 to 4-1BB) and agonist to agonist (e.g., OX40 to 4-1BB). Though dual antagonist pairing (i.e., PD-1 x LAG3 and PD-1 x TIM3) seems to robustly enhance anti-tumour activity in the preclinical setting, heterodimerisation of different co-stimulatory receptors has to be studied in more detail (<xref ref-type="bibr" rid="B227">227</xref>&#x2013;<xref ref-type="bibr" rid="B232">232</xref>). Intriguingly, some TNFRSF members have been demonstrated to signal as mixed oligomers (<xref ref-type="bibr" rid="B233">233</xref>). As TNFRSF generally engage shared downstream TRAF adaptor proteins, simultaneous receptor binding of bsAbs to distinct co-stimulatory receptors might allow for downstream ICS signaling that is equally effective as homodimerisation of individual receptors, albeit in a more tumour-specific manner.</p>
<p>In PLC, bsAbs have great potential in tumour-restricted delivery of ICS-mediated activation. Incorporation of a binding epitope directed to either tumour-associated antigen (TAA) or tumour-specific neoantigen (neoAg) might direct tumour cell targeting. Tumour-associated antigens (TAA) feature non-mutated amino acid sequences that are enriched within cancer cells, but may be presented by HLA on the surface of non-malignant cells as well. In HCC, TAA compromise oncofetal and cancer-germline antigens such as glypican 3 (GPC3) and melanoma-associated gene C1 (MAGE-C1) (<xref ref-type="bibr" rid="B234">234</xref>, <xref ref-type="bibr" rid="B235">235</xref>). In CCA patients, TAA have been described in small cohorts only (<xref ref-type="bibr" rid="B236">236</xref>) and evidence on TAA-mediated oncogenicity and systemic TAA-reactive immune responses remains limited (<xref ref-type="bibr" rid="B128">128</xref>). However, in metastasised CCA patients L&#xf6;ffler and colleagues reported efficient tumour immune cell infiltration upon TAA-peptide vaccination in CCA metastatic lesions, suggesting the pre-existence of a TAA-reactive immune cell repertoire in these patients (<xref ref-type="bibr" rid="B237">237</xref>). bsAbs that target oncofetal protein GPC3 and 4-1BB are already in preclinical development (PRS-342) and might be promising candidates in directing and stimulating recently activated 4-1BB<sup>+</sup> TILs to HCC tumour tissues. Lastly, dual receptor engagement might restrict ICS to tumour reactive HCC-derived TILs. As these subsets were described to be delineated by the expression of 4-1BB and PD1, bsAbs targeting both receptors could potentially specifically enhance anti-tumour immune activities (<xref ref-type="bibr" rid="B92">92</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Future application of ICS-mediated agonistic Abs in PLC management and conclusions</title>
<p>Though current immunotherapies for PLC have clearly shown to have some clinical effects, ICI-mediated antagonist antibodies reach clinical anti-tumour efficacy in a minor subset of advanced-stage HCC and CCA patients only (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Multi-facetted approaches addressing cytotoxic as well as immunosuppressive elements of the PLC TIME seem to improve anti-tumour immune activation (<xref ref-type="bibr" rid="B238">238</xref>). Therefore, attention and expectations have shifted towards combination treatments incorporating anti-PD-1, -PD-L1, and -CTLA-4 mAbs rather than single-agent ICI-regimen. In PLC, co-stimulatory receptors are widely expressed among immune regulatory and activatory cell subsets, thereby potentially facilitating reinvigoration of <italic>in situ</italic> anti-tumour activity in a dual manner.</p>
<p>When applied properly, ICS-mediated immune activation might hold great promise in enhancing the pool of HCC and CCA &#x2018;responders&#x2019; at various stages of disease. As the HCC- and CCA-derived TIME are highly enriched for immunosuppressive cell subsets, single-agent ICS-regimen should primarily aim for the enhancement of A:I ratios and subsequent ADCC and ADCP functionalities. Elimination of Treg function appears crucial as the suppressive capacity of Tregs is potentially enhanced upon current anti-PD-L1 ICI regimen (<xref ref-type="bibr" rid="B239">239</xref>). Intra-tumoural Treg removal might allow more efficient activation of cytotoxic CD8<sup>+</sup> T cells, either via direct ICS alone or in combination with <italic>in situ</italic> (ICS-supported) vaccination followed by previous ICI approaches.</p>
<p>Specifically in PLC, the use of new generation ICS-mediated Abs should be investigated to enhance binding to activating FcyRs to promote ADCC/ADCP. Given FcyRIIB-mediated inhibition of ADCC, minimal to no engagement to inhibitory FcyRs should be strived at. Alternative approaches to enhance co-stimulatory receptor multimerisation could still consist of biAbs or state-of-the-art Fc-coupled fusion proteins (<xref ref-type="bibr" rid="B240">240</xref>). Moreover, adequate dosing regimen should be determined for patients taking <italic>in situ</italic> TIL activation status into account. Application of such optimised ICS-mediated single- or combination-regimen might potentially make the HCC and CCA-derived TIME more susceptible to immunotherapies in advanced-stage disease.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>YR: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SB: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JI: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DS: Conceptualization, Funding acquisition, Methodology, Resources, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank N. Delleman for her help in creating the illustrations. All schematic illustrations were created with <uri xlink:href="BioRender.com">BioRender.com</uri>.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>SB has received grants from Pfizer, Merus, ISA Therapeutics BV. DS has received grants from Pfizer, Merus, ISA Therapeutics BV.</p>
<p>The remaining 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="s9" 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>
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