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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>d8e1462159</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">40425</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">s40425-019-0824-5</article-id><article-id pub-id-type="manuscript">824</article-id><article-id pub-id-type="doi">10.1186/s40425-019-0824-5</article-id><article-id pub-id-type="pmid">31783782</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/7/1/333.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review</subject></subj-group><subj-group subj-group-type="article-collection" specific-use="SubjectSection"><subject>Reviews</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Reviews</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Reviews</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title xml:lang="en">Angiogenesis and immune checkpoint inhibitors as therapies for hepatocellular carcinoma: current knowledge and future research directions</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hilmi</surname><given-names>Marc</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Neuzillet</surname><given-names>Cindy</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Calderaro</surname><given-names>Julien</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lafdil</surname><given-names>Fouad</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pawlotsky</surname><given-names>Jean-Michel</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff4">4</xref><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author" corresp="yes" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-3556-5178</contrib-id><name name-style="western"><surname>Rousseau</surname><given-names>Benoit</given-names></name><xref ref-type="aff" rid="Aff3">3</xref><xref ref-type="aff" rid="Aff7">7</xref><xref ref-type="corresp" rid="IDs4042501908245_cor6">f</xref></contrib><aff id="Aff1">
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<addr-line content-type="city">Paris</addr-line>
<country country="FR">France</country>
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<addr-line content-type="city">New York</addr-line>
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<label>f</label>
<phone>+1 (646) 431-2420</phone>
<email xlink:type="simple">ben.rousseau@gmail.com</email>
</corresp><fn fn-type="other"><label>Publisher’s Note</label><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></fn></author-notes><pub-date date-type="pub" iso-8601-date="2019-12" pub-type="ppub" publication-format="print"><month>12</month><year>2019</year></pub-date><pub-date date-type="pub" iso-8601-date="2019-11-29" pub-type="epub-original" publication-format="electronic"><day>29</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-received"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-18T10:22:57-08:00" pub-type="hwp-created"><day>18</day><month>11</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-11-29T00:00:00-08:00" pub-type="epub"><day>29</day><month>11</month><year>2019</year></pub-date><volume>7</volume><issue>1</issue><elocation-id>333</elocation-id><history><date date-type="received" iso-8601-date="2019-06-17"><day>17</day><month>6</month><year>2019</year></date><date date-type="accepted" iso-8601-date="2019-11-13"><day>13</day><month>11</month><year>2019</year></date></history><permissions><copyright-statement>© The Author(s).</copyright-statement><copyright-year>2019</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/" xlink:type="simple"><license-p>
<bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/" xlink:type="simple">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="40425_2019_Article_824_nlm.pdf" xlink:type="simple"/><abstract id="Abs1" xml:lang="en"><p id="Par1">Hepatocellular carcinoma (HCC) is the second deadliest cancer worldwide, due to its high incidence and poor prognosis. Frequent initial presentation at advanced stages along with impaired liver function limit the use of a broad therapeutic arsenal in patients with HCC. Although main HCC oncogenic drivers have been deciphered in recent years (<italic toggle="yes">TERT, TP53, CTNNB1 mutations, miR122 and CDKN2A silencing</italic>), therapeutic applications derived from this molecular knowledge are still limited. Given its high vascularization and immunogenicity, antiangiogenics and immune checkpoint inhibitors (ICI), respectively, are two therapeutic approaches that have shown efficacy in HCC. Depending on HCC immune profile, combinations of these therapies aim to modify the protumoral/antitumoral immune balance, and to reactivate and favor the intratumoral trafficking of cytotoxic T cells. Combination therapies involving antiangiogenics and ICI may be synergistic, because vascular endothelial growth factor A inhibition increases intratumoral infiltration and survival of cytotoxic T lymphocytes and decreases regulatory T lymphocyte recruitment, resulting in a more favorable immune microenvironment for ICI antitumoral activity. First results from clinical trials evaluating combinations of these therapies are encouraging with response rates never observed before in patients with HCC. A better understanding of the balance and interactions between protumoral and antitumoral immune cells will help to ensure the success of future therapeutic trials. Here, we present an overview of the current state of clinical development of antitumoral therapies in HCC and the biological rationale for their use. Moreover, translational studies on tumor tissue and blood, prior to and during treatment, will help to identify biomarkers and immune signatures with predictive value for both clinical outcome and response to combination therapies.</p></abstract><kwd-group xml:lang="en"><kwd>Hepatocellular carcinoma</kwd><kwd>Checkpoint inhibitor</kwd><kwd>Drug combination</kwd><kwd>Immunology</kwd><kwd>Tumor microenvironment</kwd></kwd-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>publisher-imprint-name</meta-name><meta-value>BioMed Central</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-issue-count</meta-name><meta-value>2</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-article-count</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-pricelist-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-holder</meta-name><meta-value>The Author(s)</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-copyright-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-contains-esm</meta-name><meta-value>No</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-year</meta-name><meta-value>2019</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-month</meta-name><meta-value>11</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-registration-date-day</meta-name><meta-value>14</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>toc-levels</meta-name><meta-value>0</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>volume-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-product</meta-name><meta-value>ArchiveJournal</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>numbering-style</meta-name><meta-value>Unnumbered</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-grants-type</meta-name><meta-value>OpenChoice</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>metadata-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>abstract-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodypdf-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bodyhtml-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>bibliography-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>esm-grant</meta-name><meta-value>OpenAccess</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>online-first</meta-name><meta-value>false</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-file-reference</meta-name><meta-value>BodyRef/PDF/40425_2019_Article_824.pdf</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>pdf-type</meta-name><meta-value>Typeset</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>target-type</meta-name><meta-value>OnlinePDF</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>issue-type</meta-name><meta-value>Regular</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>article-type</meta-name><meta-value>ReviewPaper</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-primary</meta-name><meta-value>Medicine &amp; Public Health</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Oncology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-secondary</meta-name><meta-value>Immunology</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>journal-subject-collection</meta-name><meta-value>Medicine</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>open-access</meta-name><meta-value>true</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Introduction</title><p id="Par38">Hepatocellular carcinoma (HCC) is the most frequent primary liver cancer and the second leading cause of cancer death worldwide [<xref ref-type="bibr" rid="CR1">1</xref>]. Despite significant progress in the diagnosis and treatment of HCC, its prognosis remains extremely poor with a 5-year overall survival (OS) rate of 12%, all stages taken together [<xref ref-type="bibr" rid="CR1">1</xref>]. Most HCCs (80–90%) develop on underlying chronic liver disease (with or without cirrhosis); the main causes include chronic hepatitis B virus (HBV) or hepatitis C virus (HCV) infections, alcohol consumption, non-alcoholic steatohepatitis, or other less frequent etiologies such as hemochromatosis, tobacco and aflatoxin B1 [<xref ref-type="bibr" rid="CR2">2</xref>–<xref ref-type="bibr" rid="CR6">6</xref>]. The highest incidence of HCC is observed in South-East Asia and Central Africa, where the endemic prevalence of chronic HBV infections accounts for 70% of cases [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR8">8</xref>].</p><p id="Par39">The “Barcelona Clinic Liver Cancer” (BCLC) classification is currently recommended to assess the prognosis and choose the most appropriate treatment for HCC patients [<xref ref-type="bibr" rid="CR8">8</xref>–<xref ref-type="bibr" rid="CR12">12</xref>] (Fig. <xref rid="Fig1" ref-type="fig">1</xref>, available online at <ext-link ext-link-type="uri" xlink:href="https://www.esmo.org/Guidelines/Gastrointestinal-Cancers/Hepatocellular-Carcinoma" xlink:type="simple">https://www.esmo.org/Guidelines/Gastrointestinal-Cancers/Hepatocellular-Carcinoma</ext-link>). There are five BCLC classes (0, A, B, C and D) which take into consideration both the underlying liver function, as assessed by the Child-Pugh score, and the patient’s general condition according to the Eastern Collaborative Oncology Group Performance Status (ECOG PS). The only curative treatments for HCC, reserved to patients with early-stage HCC (BCLC stage 0, A), are surgical resection, thermal ablation, radiotherapy and/or liver transplantation [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR12">12</xref>]. No adjuvant treatment has been validated for HCC.<fig id="Fig1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig1</object-id><label>Fig. 1</label><caption xml:lang="en"><p>“Barcelona-Clinic Liver Cancer” (BCLC) classification and treatment of hepatocellular carcinoma according to the 2018 ESMO and EASL Clinical Practical Guidelines. ECOG PS: Eastern Collaborative Oncology Group Performance Status; TACE: transarterial chemoembolization</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_824_Fig1_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par40">In the more than 70% of patients diagnosed with unresectable HCC (at the intermediate BCLC B stage or at the advanced C-D stages), treatments can only be palliative [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR12">12</xref>]. HCC is one of the most chemoresistant tumor, and the use of cytotoxic agents is frequently limited by the altered underlying liver function that increases their toxicity [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR8">8</xref>]. Hence, doxorubicin and PIAF (platinum, interferon, doxorubicin and 5-fluoropyrimidine) combinations, tested in phase III trials in advanced HCC, did not show any survival benefit [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR13">13</xref>]. A trend towards improved OS was observed with the FOLFOX regimen (5-fluoropyrimidine, leucovorin, and oxaliplatin) as compared to doxorubicin [<xref ref-type="bibr" rid="CR14">14</xref>], and with the GEMOX regimen (gemcitabine, oxaliplatin) [<xref ref-type="bibr" rid="CR15">15</xref>]. However, cytotoxic chemotherapy is not recommended at advanced stages of HCC, and should remain a therapeutic option only in patients who cannot receive standard treatment [<xref ref-type="bibr" rid="CR12">12</xref>].</p><p id="Par41">Antiangiogenics and immunotherapies represent the main avenues in the treatment of advanced HCC. The objective of this review is to provide an overview of current clinical development of these therapies alone or in combination in patients HCC and discuss the biological rationale for their use according to the underlying intratumoral immune profiles.</p></sec><sec id="Sec2"><title>Targeted therapies</title><sec id="Sec3"><title>Rationale for angiogenesis inhibitors</title><p id="Par42">Many proangiogenic growth factors are overexpressed in HCC, such as vascular endothelial growth factor A (VEGFA), platelet-derived growth factor (PDGF), IGF-1 and TGF-β [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR16">16</xref>]. <italic toggle="yes">VEGFA</italic> gene amplifications have been described in 4 to 8% of HCCs, thereby inducing both neoangiogenesis and tumor proliferation via the induction of hepatocyte growth factor secretion by macrophages [<xref ref-type="bibr" rid="CR17">17</xref>]. Overall, HCCs are highly vascularized tumors with predominant arterial blood flow, making them good candidates for both antiangiogenic agents and arterial endovascular procedures, such as chemoembolization.</p></sec><sec id="Sec4"><title>Clinical applications (Table <xref rid="Tab1" ref-type="table">1</xref>)</title><sec id="Sec5"><title>Sorafenib: clinical development</title><p id="Par43">In 2008, sorafenib became the first systemic treatment to demonstrate a significant survival benefit in patients with advanced HCC. Sorafenib is a multikinase inhibitor (MKI) that reduces both HCC cell proliferation and angiogenesis by targeting a broad spectrum of protein kinases, including VEGFR, PDGFR, c-KIT and RAF. Two phase 3 trials (SHARP and ASIA-PACIFIC) evaluating sorafenib versus placebo showed a significant increase in median OS in patients with preserved liver function (Child-Pugh A) and advanced HCC (BCLC C or BCLC B with tumor progression after locoregional therapy and naive of systemic therapy) [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR19">19</xref>]. Diarrhea, hand-foot syndrome, and fatigue were the most frequent adverse events, causing approximately 8% of grade 3–4 events each. Exploratory subgroup analyses of the SHARP study showed that sorafenib increased OS and disease control rate (DCR) relative to placebo regardless of etiology, initial tumor volume, ECOG PS, and previous treatments [<xref ref-type="bibr" rid="CR23">23</xref>]. The ASIA-PACIFIC study was a mirror clinical trial of the SHARP study in a population of Asian patients [<xref ref-type="bibr" rid="CR19">19</xref>]. The shorter OS (6.5 versus 4.2 months) observed in the ASIA-PACIFIC study may be explained by the higher frequency of poor prognostic factors in the patients included, with large tumor volumes, high prevalence of HBV infection, and altered ECOG PS [<xref ref-type="bibr" rid="CR24">24</xref>].<table-wrap id="Tab1" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab1</object-id><caption xml:lang="en"><p>Summary of positive phase 3 clinical trials of angiogenic inhibitors in patients with advanced hepatocellular carcinoma (HCC)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Molecules</th><th rowspan="1" colspan="1">Trial</th><th rowspan="1" colspan="1">N</th><th rowspan="1" colspan="1">Population</th><th rowspan="1" colspan="1">mOS</th><th rowspan="1" colspan="1">mPFS</th><th rowspan="1" colspan="1">ORR</th><th rowspan="1" colspan="1">DCR</th><th rowspan="1" colspan="1">Comments</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">Sorafenib</td><td rowspan="1" colspan="1">SHARP [18]</td><td rowspan="1" colspan="1">602</td><td rowspan="1" colspan="1">First-lineVersus placebo</td><td rowspan="1" colspan="1">10.7 m</td><td rowspan="1" colspan="1">5.5 m</td><td rowspan="1" colspan="1">2%</td><td rowspan="1" colspan="1">43%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">ASIAPACIFIC [19]</td><td rowspan="1" colspan="1">226</td><td rowspan="1" colspan="1">First-lineVersus placebo</td><td rowspan="1" colspan="1">6.5 m</td><td rowspan="1" colspan="1">2.8 m</td><td rowspan="1" colspan="1">3.3%</td><td rowspan="1" colspan="1">35.3%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1">Lenvatinib</td><td rowspan="1" colspan="1">REFLECT [20]</td><td rowspan="1" colspan="1">954</td><td rowspan="1" colspan="1">First-lineVersus sorafenib</td><td rowspan="1" colspan="1">13.6 m</td><td rowspan="1" colspan="1">8.9 m</td><td rowspan="1" colspan="1">24.1, 1%CR</td><td rowspan="1" colspan="1">75.5%</td><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1">Regorafenib</td><td rowspan="1" colspan="1">RESORCE [21]</td><td rowspan="1" colspan="1">573</td><td rowspan="1" colspan="1">Second-lineVersus placebo</td><td rowspan="1" colspan="1">10.6 m</td><td rowspan="1" colspan="1">3.2 m</td><td rowspan="1" colspan="1">11%</td><td rowspan="1" colspan="1">65%</td><td rowspan="1" colspan="1">Exclusion of patients previously intolerant to sorafenib</td></tr><tr><td rowspan="1" colspan="1">Cabozantinib</td><td rowspan="1" colspan="1">CELESTIAL [22]</td><td rowspan="1" colspan="1">707</td><td rowspan="1" colspan="1">Second or third-lineVersus placebo</td><td rowspan="1" colspan="1">10.2 m</td><td rowspan="1" colspan="1">5.2 m</td><td rowspan="1" colspan="1">4%</td><td rowspan="1" colspan="1">64%</td><td rowspan="1" colspan="1">Inclusion of patients previously intolerant to sorafenib</td></tr><tr><td rowspan="1" colspan="1">Ramucirumab</td><td rowspan="1" colspan="1">REACH-2 (35)</td><td rowspan="1" colspan="1">292</td><td rowspan="1" colspan="1">Second-lineVersus placebo</td><td rowspan="1" colspan="1">8.5 m</td><td rowspan="1" colspan="1">2.8 m</td><td rowspan="1" colspan="1">4.6%</td><td rowspan="1" colspan="1">59.9%</td><td rowspan="1" colspan="1">Inclusion of patients with poor prognosis based on high alpha-foeto-protein levels</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">CR</italic> complete response; <italic toggle="yes">DCR</italic> disease control rate; <italic toggle="yes">m</italic> months; <italic toggle="yes">mOS</italic> median overall survival; <italic toggle="yes">mPFS</italic> median progression-free-survival; <italic toggle="yes">N</italic> number of randomized patients; <italic toggle="yes">ORR</italic> objective response rate</p></table-wrap-foot></table-wrap>
</p><p id="Par44">Following these two pivotal trials, sorafenib obtained worldwide approval and became the standard first-line treatment for advanced HCC. No predictive markers of response had been identified in the translational studies derived from the SHARP study [<xref ref-type="bibr" rid="CR25">25</xref>]. Since then, several predictive biomarkers have been proposed, including amplifications of fibroblast growth factor 3/4 or VEGF-A, polymorphisms of VEGF-A and VEGF-C, or tissue expression of pERK or VEGFR-2 [<xref ref-type="bibr" rid="CR17">17</xref>] and imaging criteria [<xref ref-type="bibr" rid="CR26">26</xref>]. However, none of these biomarkers has been validated for clinical use with antiangiogenics. Combinations of sorafenib with erlotinib [<xref ref-type="bibr" rid="CR27">27</xref>], doxorubicin [<xref ref-type="bibr" rid="CR28">28</xref>] or transarterial chemoembolization [<xref ref-type="bibr" rid="CR29">29</xref>] has been explored in randomized trials, without improvement of OS or progression-free survival (PFS) [<xref ref-type="bibr" rid="CR27">27</xref>, <xref ref-type="bibr" rid="CR28">28</xref>]. The reasons for these failures were limiting toxicities and the absence of patient selection based on molecular markers.</p></sec><sec id="Sec6"><title>Other first-line therapies</title><p id="Par45">Since the approval of sorafenib, new candidate drugs failed to demonstrate their efficacy as first-line therapies versus sorafenib: they included sunitinib [<xref ref-type="bibr" rid="CR30">30</xref>], brivanib [<xref ref-type="bibr" rid="CR31">31</xref>] and linifanib [<xref ref-type="bibr" rid="CR32">32</xref>]). In 2018, a non-inferiority trial evaluating lenvatinib versus sorafenib was published [<xref ref-type="bibr" rid="CR20">20</xref>]. Lenvatinib is an angiogenesis inhibitor targeting multiple tyrosine kinase receptors, including VEGF receptors 1 to 3, FGF receptors 1 to 4, PDGF receptor, RET and KIT. This non-inferiority trial in patients with BCLC B or C HCC and Child-Pugh A showed similar efficacy of lenvatinib and sorafenib in terms of median OS (13.6 months versus 12.3 months, respectively), with improved median PFS (7.4 months versus 3.7 months, respectively) and objective response rate (ORR) according to modified RECIST criteria (24% versus 9%, respectively). In addition, the toxicity profile of lenvatinib was more favorable than that of sorafenib (lower incidence of fatigue, diarrhea and hand-foot syndromes). Together, these results led to lenvatinib approval by the Food and Drug Administration.</p></sec><sec id="Sec7"><title>Second-line therapies and beyond</title><p id="Par46">Several drugs have failed versus placebo in second-line treatment trials after failure of or intolerance to sorafenib, including brivanib [<xref ref-type="bibr" rid="CR33">33</xref>] or everolimus [<xref ref-type="bibr" rid="CR34">34</xref>]. In 2016, the RESORCE phase 3 trial showed that regorafenib, a sorafenib derivative whose structure differs by the addition of a fluorine atom, significantly improved median OS by 3 months, as compared to placebo, as second-line treatment after failure of sorafenib to prevent disease progression (hazard ratio (HR) = 0.63; <italic toggle="yes">p</italic> &lt; 0.0001, 33). The most frequent grade 3–4 adverse events on regorafenib were hypertension (15%), hand-foot syndrome (13%), fatigue (9%) and diarrhea (3%).</p><p id="Par47">The CELESTIAL phase 3 trial subsequently evaluated cabozantinib, an MKI targeting VEGFR 1 to 3, c-MET and AXL, all involved in sorafenib resistance, as second- or third-line therapy in patients previously treated with sorafenib [<xref ref-type="bibr" rid="CR22">22</xref>]. The study showed a 2-month benefit for median OS in favor of cabozantinib, as compared to placebo (HR = 0.76; <italic toggle="yes">p</italic> = 0.005). The most common serious adverse events were hand-foot syndrome (17%), hypertension (16%), liver function disorders (12%), fatigue (10%) and diarrhea (10%).</p><p id="Par48">Finally, the REACH-2 phase 3 trial evaluated ramucirumab, an anti-VEGFR-2 monoclonal antibody in patients with advanced HCC pre-treated with sorafenib and with a high alpha-fetoprotein (AFP) level (≥ 400 ng/mL) [<xref ref-type="bibr" rid="CR35">35</xref>]. This study was designed following the results of the REACH-1 trial; in this phase 2 study, the primary objective was not met in the overall HCC patient population (unselected for AFP), but a benefit was suggested in the subgroup of patients with elevated AFP at the initiation of treatment [<xref ref-type="bibr" rid="CR36">36</xref>]. REACH-2 showed a modest but significant survival benefit, as compared to placebo: 8.5 months versus 7.3 months, respectively (HR = 0.71; <italic toggle="yes">p</italic> = 0.019). Thus, ramucirumab is the first biomarker-guided therapy to show efficacy in patients with HCC. Due to the lack of liver metabolism, ramucirumab had a milder toxicity profile, as compared to MKI, inducing mainly hypertension (12% of grade ≥ 3) and hyponatremia (5.6% of grade ≥ 3).</p><p id="Par49">In summary, cabozantinib, regorafenib, and ramucirumab have recently become new therapeutic options in patients with advanced HCC previously treated with sorafenib. Interestingly, the efficacy of these three drugs is within the same range, with a 25% reduction of the risk of death, albeit in non-comparable patient populations. Indeed, REACH-2 included patients with a poorer prognosis than the other trials, due to the selection based on high AFP levels, which may explain the lower survival rate observed in this study. Finally, no biomarker has been identified to guide the choice between these three angiogenesis inhibitors in clinical practice. Furthermore, whether a treatment sequence effect similar to angiogenic blockade beyond progression in colorectal cancer (with angiogenesis being continuously blocked) exists in HCC remains unknown.</p></sec></sec><sec id="Sec8"><title>Perspectives: molecular alterations in HCC</title><p id="Par50">Hepatocarcinogenesis is a complex multi-step process in which many signaling pathways are altered. The understanding of molecular pathogenesis of HCC has deeply improved over the last decade [<xref ref-type="bibr" rid="CR37">37</xref>]. Genomic analyses, mainly based on the study of resected tumor samples, provided an overview of biological drivers responsible for the initiation and progression of HCC. The most frequent mutations involve: (i) telomere maintenance (mutations in the telomerase reverse transcriptase (<italic toggle="yes">TERT</italic>) promoter); (ii) the WNT-β catenin pathway (<italic toggle="yes">CTNNB1</italic>/β-catenin activating mutations); (iii) p53 tumor suppressor (inactivating mutations of <italic toggle="yes">TP53</italic>) and cell cycle control; (iv) chromatin remodeling and other epigenetic modifiers (mutations in AT-rich interaction domain 1A[<italic toggle="yes">ARID1A</italic>]); (v) MAP kinases and mechanistic target of rapamycin signaling pathways; and (vi) oxidative stress pathways [<xref ref-type="bibr" rid="CR8">8</xref>, <xref ref-type="bibr" rid="CR38">38</xref>]. Activations of c-MET, insulin-like growth factor (IGF) receptor, fibroblast growth factor receptor (<italic toggle="yes">FGF19</italic> amplification), epidermal growth factor receptor, Hedgehog, JAK/STAT and transforming growth factor β (TGF-β) signaling have also been described [<xref ref-type="bibr" rid="CR39">39</xref>]. In order to offer targeted treatments to patients, i.e. treatments adapted to their molecular profile, it has been proposed to define HCC subgroups with homogeneous oncogenic alteration profiles.</p><p id="Par51">In 2015, a first molecular classification divided HCC into two main classes, each representing about 50% of patients, including [<xref ref-type="bibr" rid="CR38">38</xref>]: (i) the proliferative class, enriched in activation of the RAS pathway, mechanistic target of rapamycin and IGF signaling pathways, <italic toggle="yes">FGF19</italic> amplification, associated with HBV infection and with a poor prognosis; (ii) the non-proliferative class, more heterogeneous but characterized by <italic toggle="yes">CTNNB1</italic> mutations and associated with alcohol and HCV infection.</p><p id="Par52">In 2017, the international consortium “The Cancer Genome Atlas (TCGA) Research Network” proposed a new classification based on the cross-platform analysis of 363 cases of HCC by whole-exome sequencing and DNA copy number analysis, and the additional analysis of 196 cases for DNA methylation, RNA expression, miRNA, and proteomics [<xref ref-type="bibr" rid="CR40">40</xref>]. The authors identified three integrated clusters (iClust) of HCC. Main molecular alterations from TCGA are presented in Table <xref rid="Tab2" ref-type="table">2</xref>. iClust 1 was associated with earlier age, Asian origin and female gender. It was dominated by high-grade tumors, with macrovascular invasion and overexpression of proliferation markers. At the molecular level, iClust 1 had a low mutation frequency of <italic toggle="yes">CTNNB1</italic> (12%), epigenetic silencing of <italic toggle="yes">CDKN2A</italic> (32%), and a low expression of TERT, as compared to other clusters. Patients with iClust 1 tumors had the worst prognosis. iClust 2 and iClust 3 had a high frequency of <italic toggle="yes">CDKN2A</italic> silencing by hypermethylation, <italic toggle="yes">TERT</italic> promoter mutations, <italic toggle="yes">CTNNB1</italic> mutations, and enrichment in <italic toggle="yes">HNF1A</italic> mutations. iClust 2 was significantly associated with a low-grade tumor phenotype and limited microvascular invasion. iClust 3 was associated with high chromosomal instability including 17p loss, high frequency of <italic toggle="yes">TP53</italic> mutations, and hypomethylation of multiple CpG sites. This study also revealed new alterations in iClust 3, such as mutations in isocitrate dehydrogenase genes (<italic toggle="yes">IDH1/2</italic>).<table-wrap id="Tab2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab2</object-id><caption xml:lang="en"><p>Main molecular alterations in HCC according to molecular subtypes adapted from the Cancer Genome Atlas Research Network [<xref ref-type="bibr" rid="CR40">40</xref>]</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Molecular subtype</th><th rowspan="1" colspan="1">Genetic features</th><th rowspan="1" colspan="1">Epigenetic features</th><th rowspan="1" colspan="1">Other characteristics</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">iCluster 136%</td><td rowspan="1" colspan="1">Few CTNNB1 mutationsLow expression of TERTOverexpression of proliferation markers</td><td rowspan="1" colspan="1">microRNA signaturemir-122 silencingHigh expression of miR-181A</td><td rowspan="1" colspan="1">Young ageAsian patientsFemale patientsNormal WeightHigh gradePoor prognosis</td></tr><tr><td rowspan="1" colspan="1">iCluster 230%</td><td rowspan="1" colspan="1">High expression of TERTHigh expression of CTNNB1HNF1A mutations</td><td rowspan="1" colspan="1">CDKN2A silencing</td><td rowspan="1" colspan="1">Low gradeLow microvascular invasion</td></tr><tr><td rowspan="1" colspan="1">iCluster 334%</td><td rowspan="1" colspan="1">Chromosomal instability17p lossTP53 mutationsHigh activation of CTNNB1High expression of TERTActivation of VEGF-A pathwayPTEN inactivation</td><td rowspan="1" colspan="1">CDKN2A silencingCPG Island hypomethylation</td><td rowspan="1" colspan="1">–</td></tr><tr><td rowspan="1" colspan="1">Frequencies of most prevalent alterations in the whole cohort</td><td rowspan="1" colspan="1">TERT mutations 44%TP53 mutations 31%CTNNB1 mutations 27%CDKN2A deletion 13%APOB mutations 10%AXIN1 mutations 8%ARID1A mutations 7%</td><td rowspan="1" colspan="1">CDKN2A silencing 54%</td><td rowspan="1" colspan="1">–</td></tr></tbody></table></table-wrap>
</p><p id="Par53">Recently, a prospective genotyping study in 81 patients with advanced HCC treated with sorafenib showed that mechanistic target of rapamycin (mTOR) signaling pathway alterations were associated with a poorer DCR (8.3% versus 40.2% in patients without such alterations) and OS (10.4 versus 17.9 months, respectively) [<xref ref-type="bibr" rid="CR41">41</xref>]. Despite these advances in the understanding of oncogenic drivers of HCC, only few of them have been identified as actionable targets for therapy. Thus, these discoveries have not yet made it possible to offer personalized HCC management in clinical practice [<xref ref-type="bibr" rid="CR42">42</xref>].</p></sec></sec><sec id="Sec9"><title>Immune therapies</title><sec id="Sec10"><title>Liver as an immune organ</title><p id="Par54">The liver receives blood flow through both the portal vein and the hepatic artery and hosts a broad variety of innate and adaptive immune cells. The liver is responsible for the production of many pro-inflammatory cytokines and proteins. It is classically considered as a first-line immunological organ that plays a key role in the defense against infections of blood and digestive origin [<xref ref-type="bibr" rid="CR43">43</xref>, <xref ref-type="bibr" rid="CR44">44</xref>]. Because of its anatomical location, the liver is perpetually exposed to pathogens and exogenous non-pathogenic molecules. Thus, the balance between immune activation and tolerance is finely regulated, in order to prevent an inadequate immune response against exogenous antigens from food and microbiota [<xref ref-type="bibr" rid="CR43">43</xref>].</p><p id="Par55">The existence of a link between antitumor immunity and HCC is supported by the observation of spontaneous tumor regressions upon discontinuation of immunosuppressive treatments in patients with liver transplantations [<xref ref-type="bibr" rid="CR45">45</xref>]. Immunity-modulating therapies have been and are studied in numerous clinical trials in patients with HCC. Among these, immune checkpoint inhibitors (ICI) targeting the programmed cell death-1 (PD-1) axis are currently being studied as monotherapies or in combination with other ICI, such as cytotoxic T lymphocyte antigen-4 (CTLA-4) or angiogenesis inhibitors. CTLA-4 blockade affects the immune priming phase occurring in the lymph node and reduces regulatory T lymphocytes (Treg)-mediated suppression of effector T cells, while PD-1 blockade affects the effector phase in the tumor and restores the immune function of “exhausted” T cells.</p></sec><sec id="Sec11"><title>Clinical applications (Table <xref rid="Tab3" ref-type="table">3</xref>)</title><sec id="Sec12"><title>Anti-CTLA-4</title><p id="Par56">Two trials evaluated the safety and efficacy of tremelimumab, a monoclonal antibody inhibiting CTLA-4, alone or in combination with ablation therapy (chemoembolization or radiofrequency), respectively [<xref ref-type="bibr" rid="CR46">46</xref>, <xref ref-type="bibr" rid="CR47">47</xref>]. The first study was a phase 2 trial evaluating tremelimumab in 20 patients with advanced HCC and chronic HCV infection [<xref ref-type="bibr" rid="CR46">46</xref>]. These patients were heavily pretreated, with non-resectable or metastatic HCC (BCLC C: 57%, portal vein invasion: 28%), high tumor volume, and frequent altered liver function (Child-Pugh B: 43%). Tremelimumab resulted in a partial response rate of 17.6% and a DCR of 76.4%. The second study combined tremelimumab with ablation therapy in patients with advanced HCC in order to induce tumor necrosis, thereby promoting the release of tumor antigens to increase the efficacy of anti-CTLA-4 [<xref ref-type="bibr" rid="CR47">47</xref>]. Thirty-two patients were included, but only 19 were radiologically evaluable. Patients with radiological benefit (26.3% ORR, 63% DCR) had an increase in intratumoral CD8+ T cells on biopsies performed 6 weeks after the start of treatment. In both studies, antitumoral activity and antiviral activity against HCV (decreased viral load) were observed and tolerance was acceptable without dose-limiting toxicities.<table-wrap id="Tab3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab3</object-id><caption xml:lang="en"><p>Summary of clinical trials of immune therapies (single agent or combination with angiogenics inhibitors) in patients with advanced hepatocellular carcinoma (HCC)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Type of immunotherapy</th><th rowspan="1" colspan="1">Molecules</th><th rowspan="1" colspan="1">Trial</th><th rowspan="1" colspan="1">Phase</th><th rowspan="1" colspan="1">N</th><th rowspan="1" colspan="1">Population</th><th rowspan="1" colspan="1">mOS</th><th rowspan="1" colspan="1">mPFS</th><th rowspan="1" colspan="1">ORR</th><th rowspan="1" colspan="1">DCR</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">Anti-CTLA-4</td><td rowspan="1" colspan="1">Tremelimumab</td><td rowspan="1" colspan="1">Sangro et al. [46]</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">20</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">8.2 m</td><td rowspan="1" colspan="1">6.5 m</td><td rowspan="1" colspan="1">17.6%</td><td rowspan="1" colspan="1">76.4%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Duffy et al. [47]</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">32</td><td rowspan="1" colspan="1">Pre-treatedCombination with ablation</td><td rowspan="1" colspan="1">12.3 m</td><td rowspan="1" colspan="1">7.4 m</td><td rowspan="1" colspan="1">26.3%</td><td rowspan="1" colspan="1">63%</td></tr><tr><td rowspan="1" colspan="1">Anti-PD-1</td><td rowspan="1" colspan="1">Pembrolizumab</td><td rowspan="1" colspan="1">Zhu et al. [48]</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">104</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">12.9 m</td><td rowspan="1" colspan="1">4.9 m</td><td rowspan="1" colspan="1">17, 1% CR</td><td rowspan="1" colspan="1">60%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Finn et al. [49]</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">413</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">13.9 m</td><td rowspan="1" colspan="1">2.8 m</td><td rowspan="1" colspan="1">18%</td><td rowspan="1" colspan="1">NA</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Nivolumab</td><td rowspan="1" colspan="1">El-Kouheiry et al. [50]</td><td rowspan="1" colspan="1">I/II</td><td rowspan="1" colspan="1">262</td><td rowspan="1" colspan="1">Pre-treated and naive</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">4 m</td><td rowspan="1" colspan="1">20, 1% CR</td><td rowspan="1" colspan="1">64%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Cemiplimab</td><td rowspan="1" colspan="1">Pishvaian et al. [51]</td><td rowspan="1" colspan="1">I</td><td rowspan="1" colspan="1">26</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">3.7 m</td><td rowspan="1" colspan="1">19.2%</td><td rowspan="1" colspan="1">73%</td></tr><tr><td rowspan="1" colspan="1">Anti-PD-L1</td><td rowspan="1" colspan="1">Durvalumab</td><td rowspan="1" colspan="1">Wainberg et al. [52]</td><td rowspan="1" colspan="1">I/II</td><td rowspan="1" colspan="1">39</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">13.2 m</td><td rowspan="1" colspan="1">NA</td><td rowspan="1" colspan="1">10.3%</td><td rowspan="1" colspan="1">33% at 24 weeks</td></tr><tr><td rowspan="1" colspan="1">Combinations</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1">Anti-PD-1 + Anti CTLA-4</td><td rowspan="1" colspan="1">Nivolumab + ipilumumab</td><td rowspan="1" colspan="1">Yau et al. [53]</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">148</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">24-m OS 40%</td><td rowspan="1" colspan="1">NA</td><td rowspan="1" colspan="1">31, 5% CR</td><td rowspan="1" colspan="1">49%</td></tr><tr><td rowspan="1" colspan="1">Angiogenesis and immune checkpoints inhibitors</td><td rowspan="1" colspan="1">Atezolizumab + bevacizumab</td><td rowspan="1" colspan="1">Pishvaian et al. [54]</td><td rowspan="1" colspan="1">Ib</td><td rowspan="1" colspan="1">68</td><td rowspan="1" colspan="1">Naive</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">14.9 m</td><td rowspan="1" colspan="1">34, 1% CR</td><td rowspan="1" colspan="1">78%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Pembrolizumab + lenvatinib</td><td rowspan="1" colspan="1">Ikeda et al. [55]</td><td rowspan="1" colspan="1">Ib</td><td rowspan="1" colspan="1">18</td><td rowspan="1" colspan="1">Naive</td><td rowspan="1" colspan="1">NA</td><td rowspan="1" colspan="1">NA</td><td rowspan="1" colspan="1">46%</td><td rowspan="1" colspan="1">92%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Camrelizumab + apatinib</td><td rowspan="1" colspan="1">Xu et al. [56]</td><td rowspan="1" colspan="1">I</td><td rowspan="1" colspan="1">16</td><td rowspan="1" colspan="1">Pre-treated</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">5.8 m</td><td rowspan="1" colspan="1">50%</td><td rowspan="1" colspan="1">93.8%</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Avelumab + axitinib</td><td rowspan="1" colspan="1">Kudo et al. [57]</td><td rowspan="1" colspan="1">Ib</td><td rowspan="1" colspan="1">22</td><td rowspan="1" colspan="1">Naive</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">5.5 m</td><td rowspan="1" colspan="1">13.6%/31.8% (mRECIST)</td><td rowspan="1" colspan="1">NA</td></tr><tr><td rowspan="1" colspan="1">Cytotoxic agents and Anti-PD-1</td><td rowspan="1" colspan="1">FOLFOX4 or GEMOX + camrelizumab</td><td rowspan="1" colspan="1">Qin et al. [58]</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">34</td><td rowspan="1" colspan="1">Naive</td><td rowspan="1" colspan="1">NR</td><td rowspan="1" colspan="1">5.5 m</td><td rowspan="1" colspan="1">26.5%</td><td rowspan="1" colspan="1">79.4%</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">CR</italic> complete response; <italic toggle="yes">CTLA-4</italic> Cytotoxic T lymphocyte-associated protein 4; <italic toggle="yes">DCR</italic> disease control rate; <italic toggle="yes">m</italic> months; <italic toggle="yes">mOS</italic> median overall survival; <italic toggle="yes">mPFS</italic> median progression-free-survival; <italic toggle="yes">N</italic> number of randomized patients; <italic toggle="yes">NR</italic> not reached; <italic toggle="yes">NA</italic> not available; <italic toggle="yes">ORR</italic> objective response rate; <italic toggle="yes">PD-1</italic>programmed cell death-1; <italic toggle="yes">PD-L1</italic> Programmed death-ligand 1</p></table-wrap-foot></table-wrap>
</p><p id="Par57">The results of these studies were encouraging but should be analyzed with caution, due to the limited sample size with a large proportion of patients not reaching the first radiological evaluation due to early clinical progression. In addition, industrial developments of anti-CTLA-4 now focuses on associations with anti-PD-1/programmed cell death-ligand 1 (PD-L1) antibodies in advanced stage HCCs (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03298451" xlink:type="simple">NCT03298451</ext-link>, [<xref ref-type="bibr" rid="CR59">59</xref>]) or in the neo-adjuvant setting (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03510871" xlink:type="simple">NCT03510871</ext-link>). These combination studies rapidly emerged in the context of data showing the activity of anti-PD-1/PD-L1 monotherapy in advanced HCC, supported by a more favorable toxicity profile than anti-CTLA-4.</p></sec><sec id="Sec13"><title>Anti-PD-1/PD-L1</title><p id="Par58">While PD-1 receptor is mainly expressed by activated lymphocytes, PD-L1 ligand has been identified at the surface of tumor cells, as well as in the peritumoral stroma of HCCs and its presence is a poor prognostic factor [<xref ref-type="bibr" rid="CR60">60</xref>]. In a cohort of 217 resected HCCs [<xref ref-type="bibr" rid="CR61">61</xref>], PD-L1 expression within HCC tumors was found in about 75% of cases, with a wide range of intensity [<xref ref-type="bibr" rid="CR61">61</xref>]. It has been suggested that PD-L1 expression should be assessed: (i) on tumor cells (threshold of 1%), and (ii) on immune cell clusters infiltrating the tumor [<xref ref-type="bibr" rid="CR61">61</xref>]. High PD-L1 expression was associated with markers of tumor aggressiveness (high AFP levels, satellite nodules, poor differentiation, macro- and micro-vascular invasion). These observations support the potential therapeutic interest of blocking the PD-1/PD-L1 axis in HCC.</p><p id="Par59">The first results of studies evaluating anti-PD-1/PD-L1 monotherapies as post-sorafenib second-line treatment in advanced HCC appeared promising for durvalumab (anti-PD-L1), pembrolizumab (anti-PD-1), and cemiplimab (anti-PD-1), while nivolumab (anti-PD-1) could be used first- or second-line. The toxicity profiles were similar to those previously described in the literature for anti-PD-1/PD-L1 in other tumor types and did not differ between molecules. No cases of HBV or HCV reactivation have been observed. Efficacy results are summarized in Table <xref rid="Tab3" ref-type="table">3</xref>. However, a recent communication reported that the KEYNOTE-240 phase 3 trial, comparing pembrolizumab to placebo plus best supportive care in 413 patients previously treated with sorafenib, did not meet its co-primary endpoints of OS and PFS [<xref ref-type="bibr" rid="CR49">49</xref>]. Indeed, despite an improvement in favor of pembrolizumab, these differences did not achieve statistical significance per the prespecified statistical plan. ORR was 16.9% for pembrolizumab vs 2.2% for placebo (<italic toggle="yes">P</italic> = 0.00001) and responses were durable (median duration of response: 13.8 months). Reasons for this failure could be previous sorafenib treatment, the progressive nature of the tumors in these patients, in whom the immune reserve was depleted and/or subsequent treatments. The KEYNOTE-394 trial is an ongoing mirror clinical trial of KEYNOTE-240 in Asian patients (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03062358" xlink:type="simple">NCT03062358</ext-link>).</p><p id="Par60">In a multicohort study with durvalumab [<xref ref-type="bibr" rid="CR52">52</xref>], the clinical benefit was greater in patients with chronic HCV infection, but this observation was limited by the small number of patients.</p><p id="Par61">In a pre-specified exploratory analysis of the phase 2 study with pembrolizumab [<xref ref-type="bibr" rid="CR48">48</xref>], the authors did not find any criteria predictive of the objective response (age, viral or non-viral etiology, AFP levels, BCLC stage, macrovascular invasion, extrahepatic metastases). Another pre-specified analysis evaluated the association between PD-L1 and the radiological response by proposing an overall expression score combining PD-L1 expression by the immune microenvironment and tumor cells (CPS score). The proposed score was defined by the number of PD-L1+ cells (≥1%) (tumor cells, lymphocytes and macrophages) divided by the total number of tumor cells. PD-L1 positivity in tumor cells did not predict radiological response, although a trend was observed (<italic toggle="yes">p</italic> = 0.08), or PFS (<italic toggle="yes">p</italic> = 0.096). In contrast, 42% of patients were positive for PD-L1 according to the CPS score and there was a significant association with ORR (32% versus 20% in CPS-positive versus negative patients, respectively, <italic toggle="yes">p</italic> = 0.021) and PFS (<italic toggle="yes">p</italic> = 0.026). Thus, considering PD-L1 expression both in the tumor and immune cell compartments improved the prediction of the response to anti-PD-1 therapy in HCC. In addition, a prospective study in 31 ICI-treated patients showed that WNT/β-catenin pathway alterations are associated with a poorer DCR (0 versus 53%) and OS (9.1 versus 15.2 months) [<xref ref-type="bibr" rid="CR41">41</xref>]. These results support the establishment of composite scores combining PD-1 expression and molecular alterations in order to properly predict ICI response.</p><p id="Par62">Finally, the CheckMate-040 phase 1/2 trial evaluated nivolumab in 3 cohorts of patients with advanced HCC: HBV-infected, HCV-infected, and non-infected, respectively [<xref ref-type="bibr" rid="CR50">50</xref>]. This study included both treatment-naive and previously sorafenib-treated patients. No significant differences in the response according to treatment exposure and/or viral infection were observed. In line with the pembrolizumab study, PD-L1+ tumors (≥1% on tumoral cells) showed a non-significant trend for higher ORR as compared to PD-L1- tumors (26 and 19%, respectively). Several studies evaluating nivolumab in patients with advanced HCC are ongoing, including the pivotal CheckMate 459 phase 3 study comparing nivolumab with sorafenib in treatment-naive patients with advanced HCC (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02576509" xlink:type="simple">NCT02576509</ext-link>). Other studies are currently evaluating nivolumab in combination with chemoembolization (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03572582" xlink:type="simple">NCT03572582</ext-link>), radioembolization (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03033446" xlink:type="simple">NCT03033446</ext-link>), TGF-β inhibitors (<ext-link ext-link-type="clintrialgov" xlink:href="NCT02423343" xlink:type="simple">NCT02423343</ext-link>), indoleamine dioxygenase inhibitors (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03695250" xlink:type="simple">NCT03695250</ext-link>) in patients with advanced HCC, or in neo-adjuvant and adjuvant settings (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03630640" xlink:type="simple">NCT03630640</ext-link>,  <ext-link ext-link-type="clintrialgov" xlink:href="NCT03383458" xlink:type="simple">NCT03383458</ext-link>). Other strategies may include the combination of Anti-PD-1 with cytotoxic drugs as recently reported in a trial investigating camrelizumab + FOLFOX4 or GEMOX and showing in 34 treatment naive HCC patients an ORR of 26.5% and a mPFS of 5.5 months [<xref ref-type="bibr" rid="CR58">58</xref>]. The additive/synergistic effect of immune checkpoints inhibition and cytotoxic agents remains to be established.</p></sec><sec id="Sec14"><title>Combination of anti-PD-1 and anti-CTLA-4</title><p id="Par63">First results of immune checkpoint inhibitors combination has been recently communicated. The Checkmate-040 trial included a 3-arm randomized phase II investigating nivolumab + ipilimumab at different dose in sorafenib pretreated and Anti-PD-1 naive patients [<xref ref-type="bibr" rid="CR53">53</xref>]. One hundred and forty-eighth number patients were randomized and 37% had high grade treatment related adverse event leading in 5% to discontinuation. Overall, the ORR was 31% with 5% (<italic toggle="yes">N</italic> = 7) of complete response. In the 3 arms the DCR ranged between 43 to 54% with higher benefit in the Nivolumab 1 mg/kg + ipilimumab 3 mg/kg (4 doses) Q3W. This arm displayed an interesting mOS of 23 months compared to the other arms (12 and 13 months). The addition of an Anti-CTLA-4 to the anti-PD-1 seems to improve the response rate but at the price of increased toxicity. Biomarker studies are pending. Current development of such combinations focuses on the neoadjuvant setting (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03510871" xlink:type="simple">NCT03510871</ext-link>,  <ext-link ext-link-type="clintrialgov" xlink:href="NCT03222076" xlink:type="simple">NCT03222076</ext-link>) or as adjuvant treatment after stereotatic radiotherapy (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03203304" xlink:type="simple">NCT03203304</ext-link>) or TACE (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03638141" xlink:type="simple">NCT03638141</ext-link>).</p></sec></sec></sec><sec id="Sec15"><title>Combination therapies</title><sec id="Sec16"><title>Rationale for combining angiogenesis inhibitors and ICI in HCC</title><p id="Par64">One of the main therapeutic goals of immuno-oncology research is to convert cold tumors into immunogenic tumors [<xref ref-type="bibr" rid="CR62">62</xref>]. Most combination trials in HCC involved the two types of therapies that had previously shown efficacy, i.e. antiangiogenics and ICI. The rationale for this combination is based on the immunomodulatory role of VEGF-A observed in different cancers [<xref ref-type="bibr" rid="CR63">63</xref>]. This pro-angiogenic factor is mainly produced by tumor cells, tumor-associated macrophages (TAM), and tumor-associated fibroblasts [<xref ref-type="bibr" rid="CR64">64</xref>]. In addition, VEGF-A directly increases the recruitment of VEGFR2-expressing Treg. Moreover, a mechanism regulating T cell infiltration at the tumor-endothelium interface was recently described [<xref ref-type="bibr" rid="CR65">65</xref>], consisting in the selective expression of Fas ligand (FasL) by the tumor endothelium (but not in the normal endothelium). This tumor-specific endothelial expression of FasL is associated with low CD8+ T cell infiltration and predominance of FoxP3+ Treg cells. VEGF-A and proinflammatory cytokines induce FasL expression by endothelial cells that acquire the ability to kill CD8+ T cells but not Treg. Pharmacological inhibition of VEGF-A leads to an increase in the number of intratumoral CD8+ cells and a reduction of tumor growth [<xref ref-type="bibr" rid="CR65">65</xref>]. These observations highlight the critical role of VEGF-A in escaping antitumor immunity and the link between angiogenesis and immunosuppression in cancer progression. They support vascular normalization to modulate the immune microenvironment as a therapeutic approach. Consistently, several translational studies in models of non-small cell lung cancer, renal cell carcinoma or colorectal cancer have shown that anti-VEGF-A, via normalization of vascularization, increases T cell infiltration into the tumors [<xref ref-type="bibr" rid="CR66">66</xref>–<xref ref-type="bibr" rid="CR68">68</xref>]. The first proof-of-concept of combining anti-VEGF-A and PD-1/PD-L1 inhibitors has been brought in a renal cell carcinoma model [<xref ref-type="bibr" rid="CR68">68</xref>], in which a combination of bevacizumab (anti-VEGF) and atezolizumab (anti-PD-L1) increased intratumoral expression of MHC class I, Th1 markers and effector T cells, leading to an increased antitumor effect.</p></sec><sec id="Sec17"><title>Results of ongoing clinical trials</title><p id="Par65">Despite the absence of specific preclinical data in HCC, several trials exploring combinations of antiangiogenics and ICI are ongoing in patients with HCC. The first results of the combination of bevacizumab and atezolizumab in HCC have been reported in the IMbrave150 trial [<xref ref-type="bibr" rid="CR54">54</xref>] showing RECIST response rates of 34% in highly selected and radiologically evaluable patients. Approximately 25% of patients showed grade 3–4 toxicity, including mostly hypertension and abnormal liver tests, but also autoimmune manifestations (e.g. diabetes, encephalitis, pneumonitis, hepatitis and pancreatitis). Despite the limited sample size, more responses were observed in patients with chronic HCV infection (43%), as previously reported, and in those with AFP ≥400 ng/mL. Importantly, 83% of responses were maintained after a median follow-up of 7.2 months. These encouraging results led to the initiation of a randomized phase 3 trial comparing atezolizumab plus bevacizumab to sorafenib in treatment-naive patients with advanced HCC [<xref ref-type="bibr" rid="CR69">69</xref>].</p><p id="Par66">Another early-phase study evaluating the association between lenvatinib and pembrolizumab has been reported [<xref ref-type="bibr" rid="CR55">55</xref>]. Its preliminary results showed acceptable toxicity of the combination and, for the 13 evaluable patients, a radiological response rate of 46%. These encouraging results led to the initiation of a phase 3 study comparing lenvatinib to lenvatinib plus pembrolizumab in treatment-naive patients with advanced HCC (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03713593" xlink:type="simple">NCT03713593</ext-link>). In the same line of evidence, a phase Ib of axitinib+avelumab in 22 naive HCC patients has recently been communicated [<xref ref-type="bibr" rid="CR57">57</xref>] and showed an ORR of 13.6% according to RECIST and 31.8% according to mRECIST with an acceptable safety profile.</p><p id="Par67">A cohort study has been launched within the Checkmate 040 early-phase study [<xref ref-type="bibr" rid="CR50">50</xref>] exploring the combination of ipilimumab, nivolumab, and cabozantinib. Finally, nivolumab is also being evaluated in combination with bevacizumab (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03382886" xlink:type="simple">NCT03382886</ext-link>), lenvatinib (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03418922" xlink:type="simple">NCT03418922</ext-link>) and cabozantinib (<ext-link ext-link-type="clintrialgov" xlink:href="NCT03299946" xlink:type="simple">NCT03299946</ext-link>).</p><p id="Par68">Overall, the combination of an antiangiogenic and a PD-1/PD-L1 inhibitor appears to yield better radiological response rates than each agent used as a monotherapy. The PFS results are encouraging, but safety profiles and impacts on OS have yet to be assessed in a larger population. In addition, no validated predictive biomarker is currently available to select patients who could benefit most from such strategies.</p></sec><sec id="Sec18"><title>Perspectives: tumor immune microenvironment signatures</title><p id="Par69">Recent studies proposed classifications of immune microenvironment of HCCs and other tumors, mainly based on algorithms extrapolating the quantity and quality of intratumoral immune cells from messenger RNA expression of genes implicated in immune pathways.</p><p id="Par70">First, a recent pan-tumor immunogenomic analysis revealed six immune contextures within tumors, which were associated with specific immune escape mechanisms [<xref ref-type="bibr" rid="CR70">70</xref>]. The authors analyzed the distribution of the six immune patterns among HCC samples. The most frequent patterns are shown in Fig. <xref rid="Fig2" ref-type="fig">2</xref>. Cluster 1 (wound healing profile, 10%) and cluster 2 (interferon-γ dominant, 15%) were uncommon in HCC as compared to other types of cancers, such as breast or colorectal cancers. Interestingly, cluster 1 was associated with an elevated expression of angiogenic genes, supporting the use of angiogenesis inhibitors in these patients. Cluster 3 (inflammatory, 30%) was significantly associated with better survival as compared to other subtypes. Finally, cluster 4 (depleted in lymphocytes, 40%) was the most frequent, without significant deleterious prognostic impact. Clusters 5 and 6 (immunologically calm and TGF-β dominant, respectively), were poorly represented (&lt; 5%) in HCC. Interestingly, the predicted neoantigen quantity was positively correlated with the amount of CD8+ T cells; high neoantigen quantities were more frequent in clusters 2 and 3, which were associated with more favorable CD8/Treg ratios than other clusters.<fig id="Fig2" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig2</object-id><label>Fig. 2</label><caption xml:lang="en"><p>Immunological classification of hepatocellular carcinoma adapted from Thorsson et al. [<xref ref-type="bibr" rid="CR70">70</xref>]. PD-1: programmed cell death-1; PD-L1: programmed cell death-ligand 1; TAM: tumor associated macrophage; TILs: tumor-infiltrating lymphocytes</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_824_Fig2_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par71">Further, by studying the gene expression of 66 immune markers in 196 HCC patients and using an unsupervised clustering approach, a recent analysis carried out by the TCGA consortium also uncovered the immunological heterogeneity of HCC [<xref ref-type="bibr" rid="CR40">40</xref>]. Twenty-two percent of HCCs had significant or moderate lymphocyte infiltration, whereas 25% were poor in immune cells. Using the CIBERSORT method that predicts the immunological profile from tissue gene expression [<xref ref-type="bibr" rid="CR71">71</xref>], the authors showed that HCC was significantly different from adjacent liver tissue in terms of immunological microenvironment, regardless of the virological status. Virally-induced tumors had the same immune profiles as virus-negative tumors (HBV+ versus HCV+, and HBV+ or HCV+ versus virus-negative, <italic toggle="yes">p</italic> &gt; 0.05). The CD8/Treg ratio was significantly reduced in tumors, as compared to adjacent liver tissue (<italic toggle="yes">p</italic> &lt; 1.10<sup>− 7</sup>), indicating a dysregulation of immune cell trafficking in the tumor. Noticeably, lymphocyte-rich tumors displayed strong expression of all 66 immunological markers, including interferon-γ (IFN-γ), and immune checkpoints such as CTLA-4 and PD-1/PD-L1.</p><p id="Par72">Another recent study in a cohort of 956 HCCs reported that 25% of the tumors were rich in lymphocytes and had a high level of cytotoxic activity [<xref ref-type="bibr" rid="CR72">72</xref>]. The authors also suggested that half of lymphocyte-rich tumors had a favorable IFN-γ pathway signature for immune checkpoint blockade activity, as already reported in melanoma or non-small cell lung cancers [<xref ref-type="bibr" rid="CR73">73</xref>]. Some tumors also displayed a similar IFN-γ signature in the peritumoral compartment and there was no correlation between the peritumoral and the intratumoral immune profiles [<xref ref-type="bibr" rid="CR72">72</xref>]. The other half of lymphocyte-rich tumors was characterized by exhausted immune responses and a more aggressive phenotype, in which TGF-β had a driver role by regulating metastasis, angiogenesis and epithelial-mesenchymal transition. The combination of angiogenesis and TGF-β inhibitors in this subgroup could be of interest.</p><p id="Par73">Finally, WNT-β catenin pathway alterations (<italic toggle="yes">CTNNB1</italic> and <italic toggle="yes">AXIN1</italic> mutations) characterize cold tumors less responsive to immune checkpoint blockade in patients with HCC [<xref ref-type="bibr" rid="CR72">72</xref>, <xref ref-type="bibr" rid="CR74">74</xref>, <xref ref-type="bibr" rid="CR75">75</xref>] and melanoma [<xref ref-type="bibr" rid="CR76">76</xref>], defining primary resistance to ICI. Altogether, these results indicate that molecular alterations have a potential impact on the immune microenvironnement. Personalized immunomodulation strategies according to HCC immune profiles are proposed in Fig. <xref rid="Fig3" ref-type="fig">3</xref>.<fig id="Fig3" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Fig3</object-id><label>Fig. 3</label><caption xml:lang="en"><p>Potential combination therapies according to the immune profiles of hepatocellular carcinoma (HCC). CTLA4: cytotoxic T lymphocyte antigen-4; PD-1: programmed cell death-1; TILs: tumor-infiltrating lymphocytes; TAM: tumor-associated macrophage; TGF-β: Transforming growth factor β</p></caption><graphic specific-use="JPEG" mime-subtype="PNG" xlink:href="40425_2019_824_Fig3_HTML.jpg" position="float" orientation="portrait" xlink:type="simple"/></fig>
</p><p id="Par74">Overall, half of HCC are rich in intratumoral immune cells, with different phenotypes mainly based on the amount of intratumoral lymphocytes relative to macrophages. The balance and interactions between protumoral (Treg, T-helper 17 cells, TAM M2) and antitumoral immune cells (cytotoxic CD8 cells, natural killers, TAM M1) remain to be better characterized in HCC. Moreover, the liver contains a complex immune diversity with specific populations of immune cells [<xref ref-type="bibr" rid="CR51">51</xref>]. Liver resident macrophages, also known as Kupffer cells, is the largest population of hepatic immune cells playing with a high phenotypic plasticity, either by promoting tolerance or by promoting inflammation depending on environmental changes. Indeed, they can differentiate into M1-like macrophages releasing IL-12 and IL-23, or into M2-like macrophages depleting CD8 T cells and inducing Treg [<xref ref-type="bibr" rid="CR51">51</xref>]. Similarly, hepatic dendritic cells can be tolerogenic by stimulating IL-27 and Treg expansion, or proinflammatory by presenting antigens to T cells [<xref ref-type="bibr" rid="CR51">51</xref>]. Furthermore, the liver is an organ enriched in Natural Killer cells and γδ T cells whose functions are still poorly understood [<xref ref-type="bibr" rid="CR56">56</xref>]. A better understanding of this complex immune network would help to polarize an effective anti-tumor immune response. Nevertheless, consistent with other tumors, the subgroup of HCCs with an increased IFN-γ response displays favorable immune features for next-generation immunotherapies: high expression of immune checkpoints, such as CTLA-4, PD-1, or PD-L1, high CD8+ T cell infiltration, high CD8/Treg ratio, and moderate or low TAM numbers. These observations provide a strong rationale for the use of ICI in immune cell-rich HCC.</p></sec></sec><sec id="Sec19" sec-type="conclusions"><title>Conclusion</title><p id="Par75">More than 70% of patients with HCC present with intermediate or advanced-stage disease (BCLC stage B, C or D) and require palliative care. Sorafenib was the first drug that demonstrated a survival benefit in patients with preserved liver function and advanced HCC. However, the OS benefit remains limited with sorafenib and it has been a long time since its approval without major therapeutic breakthrough. Thus, strategies that delay tumor progression upon first-line sorafenib therapy are currently developed, including immune checkpoints blockade and combination therapies involving antiangiogenics and ICI. Table <xref rid="Tab4" ref-type="table">4</xref> summarizes the most important ongoing clinical trials looking at immunotherapy in advanced HCC. Collaborations between clinicians and researchers to conduct innovative clinical trials including high-level translational studies may lead to the identification of biomarkers with predictive value for both clinical outcome and response to combination therapies.<table-wrap id="Tab4" position="float" orientation="portrait"><object-id pub-id-type="publisher-id">Tab4</object-id><caption xml:lang="en"><p>Summary of ongoing clinical trials of immune therapies in patients with hepatocellulars carcinoma (HCC)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="1" colspan="1">Type of immunotherapy</th><th rowspan="1" colspan="1">Molecules</th><th rowspan="1" colspan="1">NCT number</th><th rowspan="1" colspan="1">Phase</th><th rowspan="1" colspan="1">Population</th><th rowspan="1" colspan="1">Estimated enrollment</th><th rowspan="1" colspan="1">Recruitment status</th></tr></thead><tbody><tr><td rowspan="1" colspan="1">Anti-PD-1</td><td rowspan="1" colspan="1">Pembrolizumab</td><td rowspan="1" colspan="1">NCT03062358</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">Advanced HCC, pre-treated</td><td rowspan="1" colspan="1">450</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Nivolumab</td><td rowspan="1" colspan="1">NCT02576509</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">Advanced HCC, naive</td><td rowspan="1" colspan="1">1720</td><td rowspan="1" colspan="1">Active, not recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">NCT03383458</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">Resected HCC</td><td rowspan="1" colspan="1">530</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1">Combinations</td><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/></tr><tr><td rowspan="1" colspan="1">Anti-PD-1 + Anti CTLA-4</td><td rowspan="1" colspan="1">Durvalumab + tremelimumab</td><td rowspan="1" colspan="1">NCT03298451</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">Advanced HCC, naive</td><td rowspan="1" colspan="1">1310</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Nivolumab + ipilumumab</td><td rowspan="1" colspan="1">NCT03510871</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">Eligible for curative surgery</td><td rowspan="1" colspan="1">40</td><td rowspan="1" colspan="1">Not yet recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">NCT03222076</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">Resected HCC</td><td rowspan="1" colspan="1">45</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1">Angiogenesis and ICI</td><td rowspan="1" colspan="1">Nivolumab + bevacizumab</td><td rowspan="1" colspan="1">NCT03382886</td><td rowspan="1" colspan="1">I</td><td rowspan="1" colspan="1">Advanced HCC, pre-treated</td><td rowspan="1" colspan="1">12</td><td rowspan="1" colspan="1">Active, not recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Nivolumab + lenvatinib</td><td rowspan="1" colspan="1">NCT03418922</td><td rowspan="1" colspan="1">I</td><td rowspan="1" colspan="1">Advanced HCC, pre-treated and naive</td><td rowspan="1" colspan="1">30</td><td rowspan="1" colspan="1">Active, not recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Pembrolizumab + lenvatinib</td><td rowspan="1" colspan="1">NCT03713593</td><td rowspan="1" colspan="1">III</td><td rowspan="1" colspan="1">Advanced HCC, naive</td><td rowspan="1" colspan="1">750</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1">Transarterial chemoembolization and ICI</td><td rowspan="1" colspan="1">Nivolumab</td><td rowspan="1" colspan="1">NCT03572582</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">Intermediate stage HCC</td><td rowspan="1" colspan="1">49</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1"/><td rowspan="1" colspan="1">Durvalumab + tremelimumab</td><td rowspan="1" colspan="1">NCT03638141</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">Intermediate stage HCC</td><td rowspan="1" colspan="1">30</td><td rowspan="1" colspan="1">Recruiting</td></tr><tr><td rowspan="1" colspan="1">Y90-Radioembolization and Anti-PD-1</td><td rowspan="1" colspan="1">Nivolumab</td><td rowspan="1" colspan="1">NCT03033446</td><td rowspan="1" colspan="1">II</td><td rowspan="1" colspan="1">Advanced HCC</td><td rowspan="1" colspan="1">40</td><td rowspan="1" colspan="1">Recruiting</td></tr></tbody></table><table-wrap-foot><p>
<italic toggle="yes">CTLA-4</italic> Cytotoxic T lymphocyte-associated protein 4; <italic toggle="yes">ICI</italic> immune checkpoint inhibitors; <italic toggle="yes">PD-1</italic> programmed cell death-1; <italic toggle="yes">PD-L1</italic> Programmed death-ligand 1</p></table-wrap-foot></table-wrap>
</p></sec></body><back><sec><title>Funding</title><p>BR received a grant from The Nuovo-Soldati Foundation.</p></sec><ack><p>Not applicable.</p></ack><notes notes-type="author-contribution"><title>Authors’ contributions</title><p>Conception or design of the work: MH, CN, BR. Data collection: MH, BR. Data analysis and interpretation: MH, CN, JMP, BR. Drafting the article: MH, JMP, BR. Critical revision of the article: MH, CN, JC, FL, JMP, BR. Final approval of the version to be published: MH, CN, JC, FL, JMP, BR. All authors read and approved the final manuscript.</p></notes><notes notes-type="data-availability"><title>Availability of data and materials</title><p>Not applicable.</p></notes><notes notes-type="ethics"><sec id="FPar1"><title>Ethics approval and consent to participate</title><p id="Par76">Not applicable.</p></sec><sec id="FPar2"><title>Consent for publication</title><p id="Par77">Not applicable.</p></sec><sec id="FPar3"><title>Competing interests</title><p id="Par78">CN: OSE Immunotherapeutics, Servier, Celgene, Roche, Amgen; MH: none, BR: Bayer, Servier, Roche, Novartis, Abbvie, Astellas.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><mixed-citation publication-type="journal" xlink:type="simple">
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