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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.2024.1352873</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>Neoadjuvant Immune Checkpoint Inhibitors in hepatocellular carcinoma: a meta-analysis and systematic review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tian</surname>
<given-names>Chunhong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Yifan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yuqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Lunwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1067887"/>
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<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Chengyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2418289"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Feng</surname>
<given-names>Gaofei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zheng</surname>
<given-names>Dayong</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/731766"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xiongwen</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1950103"/>
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<aff id="aff1">
<sup>1</sup>
<institution>The First Clinical Medical School, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Tumor, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Science and Technology Innovation Center, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Oncology, Shenzhen Hospital, Beijing University of Chinese Medicine</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Hepatology, TCM-Integrated Hospital of Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Hepatopancreatobiliary, Cancer Center, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Oncology, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Beibei District Traditional Chinese Medicine Hospital (Chongqing Hospital, The First Affiliated Hospital of Guangzhou University of Chinese Medicine)</institution>, <addr-line>Chongqing</addr-line>, <country>China</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Department of Oncology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tian Yang, First Affiliated Hospital of Jilin University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xinchen Wang, Zhaoqing University, China</p>
<p>Hong Liu, The First Affiliated Hospital of Guangdong Pharmaceutical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Gaofei Feng, <email xlink:href="mailto:zlkfzx2020@163.com">zlkfzx2020@163.com</email>; Dayong Zheng, <email xlink:href="mailto:zhengdy@smu.edu.cn">zhengdy@smu.edu.cn</email>; Xiongwen Wang, <email xlink:href="mailto:awen681029@163.com">awen681029@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</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>1352873</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Tian, Yu, Wang, Yang, Tang, Yu, Feng, Zheng and Wang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Tian, Yu, Wang, Yang, Tang, Yu, Feng, Zheng and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Neoadjuvant immunotherapy has demonstrated beneficial outcomes in various cancer types; however, standardized protocols for neoadjuvant immunotherapy in hepatocellular carcinoma (HCC) are currently lacking. This systematic review and meta-analysis aims to investigate the reliability of neoadjuvant immunotherapy&#x2019;s efficacy and safety in the context of HCC.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic search was conducted across PubMed (MEDLINE), EMBASE, the Web of Science, the Cochrane Library, and conference proceedings to identify clinical trials involving resectable HCC and neoadjuvant immunotherapy. Single-arm meta-analyses were employed to compute odds ratios and 95% confidence intervals (CIs). Heterogeneity analysis, data quality assessment, and subgroup analyses based on the type of immunotherapy drugs and combination therapies were performed. This meta-analysis is registered in PROSPERO (identifier CRD42023474276).</p>
</sec>
<sec>
<title>Results</title>
<p>This meta-analysis included 255 patients from 11 studies. Among resectable HCC patients, neoadjuvant immunotherapy exhibited an overall major pathological response (MPR) rate of 0.47 (95% CI 0.31-0.70) and a pathological complete response (pCR) rate of 0.22 (95% CI 0.14-0.36). The overall objective response rate (ORR) was 0.37 (95% CI 0.20-0.69), with a grade 3-4 treatment-related adverse event (TRAE) incidence rate of 0.35 (95% CI 0.24-0.51). Furthermore, the combined surgical resection rate was 3.08 (95% CI 1.66-5.72). Subgroup analysis shows no significant differences in the efficacy and safety of different single-agent immunotherapies; the efficacy of dual ICIs (Immune Checkpoint Inhibitors) combination therapy is superior to targeted combined immunotherapy and monotherapy, while the reverse is observed in terms of safety.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Neoadjuvant immunotherapy presents beneficial outcomes in the treatment of resectable HCC. However, large-scale, high-quality experiments are warranted in the future to provide robust data support.</p>
</sec>
</abstract>
<kwd-group>
<kwd>neoadjuvant</kwd>
<kwd>immunotherapy</kwd>
<kwd>hepatocellular carcinoma (HCC)</kwd>
<kwd>resectable</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="64"/>
<page-count count="12"/>
<word-count count="4376"/>
</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">
<title>Introduction</title>
<p>Hepatocellular Carcinoma (HCC) is one of the most prevalent malignant tumors globally and ranks as the third leading cause of cancer-related deaths worldwide, with a relative 5-year survival rate of only about 18% (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Surgical resection stands as the primary treatment choice for HCC patients, particularly for those with a single tumor and preserved normal liver function (<xref ref-type="bibr" rid="B3">3</xref>). However, even among resectable HCC patients, long-term survival outcomes post-surgery are less than ideal. Up to 80% face the risk of recurrence within 5 years after surgery, with many diagnosed patients already in the late stages of the disease, presenting visible vascular invasion and multifocal intrahepatic metastases (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Neoadjuvant therapy, incorporating various treatment modalities such as drugs and radiation, aims to improve overall treatment efficacy, reduce recurrence risk, and shrink lesions, transforming initially unresectable diseases into manageable therapeutic strategies, offering multiple potential advantages for HCC treatment (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Despite the absence of established consensus or standardized protocols for neoadjuvant therapy in HCC patients, evaluations have been carried out regarding potential neoadjuvant options like transarterial chemoembolization and transarterial radioembolization. However, the results have not yielded satisfactory survival benefits and are not considered optimal choices for improving overall survival in patients (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). In recent years, global guidelines for HCC encompass five monotherapy molecular treatment approaches. Among these, immune checkpoint inhibitors, primarily PD-1/PD-L1 inhibitors, have opened up new avenues for neoadjuvant immunotherapy in HCC patients (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).The PD-1/PD-L1 pathway serves as a crucial mediator of local immune suppression within the tumor microenvironment (TME). By blocking negative regulatory mechanisms, it reactivates T-cell immune responses against tumors, aiming for antitumor effects (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The use of anti-PD-(L)1 immunotherapy in the neoadjuvant (preoperative) setting presents a potential therapeutic option for achieving &#x201c;resectable cure&#x201d; in tumors (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, combination therapies involving immune checkpoint inhibitors and anti-angiogenic agents exhibit enhanced survival benefits for HCC patients compared to standalone immune checkpoint inhibitor therapy (<xref ref-type="bibr" rid="B16">16</xref>). However, clinical studies supporting neoadjuvant immunotherapy for HCC are relatively scarce, and its treatment efficacy and safety remain unknown. There is a lack of standardized protocols for neoadjuvant immunotherapy in clinical practice (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Hence, based on the current clinical research findings, this article aims to discuss the effectiveness and safety of neoadjuvant immunotherapy in resectable HCC patients. The objective is to provide an objective and comprehensive evaluation of existing studies, offering more reliable and stable references. This discussion aims to support the feasibility assessment of neoadjuvant immunotherapy in HCC treatment and provide additional evidence-based medicine for clinical treatment.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>This study followed the PRISMA reporting guidelines for systematic reviews and meta-analysis (<xref ref-type="bibr" rid="B17">17</xref>). This meta-analysis has been registered in PROSPERO with the identifier CRD42023474276.</p>
<sec id="s2_1">
<title>Search strategy</title>
<p>We performed computer-based searches in PubMed (MEDLINE), EMBASE, the Web of Science, and the Cochrane library. Additionally, manual searches were conducted to include references from the literature. To ensure comprehensive data collection, we reviewed abstracts and reports from the American Society of Clinical Oncology (ASCO) and the European Society for Medical Oncology (ESMO) conferences until October 15, 2023. Initially, we determined relevant subject headings and free-text terms through a MESH query and used Boolean operators for combination search strategies. Search terms comprised medical subject headings including &#x201c;Hepatocellular Carcinoma,&#x201d; &#x201c;neoadjuvant therapy,&#x201d; &#x201c;immune checkpoint inhibitors,&#x201d; and related variations. The search duration for all databases encompassed records from their inception to October 15, 2023.</p>
</sec>
<sec id="s2_2">
<title>Study selection</title>
<p>We developed the inclusion and exclusion criteria based on the patient, intervention, comparison outcomes (PICOs) principles of evidence-based medicine (EBM). The following criteria were used to select studies for inclusion: (1) Patients with resectable hepatocellular carcinoma. (2) Administration of immune checkpoint inhibitors as neoadjuvant therapy. (3) Reports containing at least one of the following primary outcomes: Major Pathological Response (MPR), Pathological Complete Response (pCR), Grade 3-4 Treatment-Related Adverse Event Rate (Grade 3-4 TRAEs), Objective Response Rate (ORR), Resection Rate. Publications that met one of the following criteria were excluded: (1) Patients with unresectable primary or metastatic diseases. (2) Patients with a history of prior immunotherapy or other systemic treatments. (3) Studies with outcomes not directly related to our specified key outcomes. (4) Duplicate publications. (5) Reviews, meta-analyses, case reports, or case series.</p>
</sec>
<sec id="s2_3">
<title>Data extraction</title>
<p>Two researchers independently conducted the identification and extraction of potentially eligible articles. Any discrepancies were resolved by involving a third reviewer. Subsequently, the identified articles were retrieved, and a comprehensive analysis of their full texts was performed. For each study, a range of data was meticulously recorded, encompassing details such as the first author, publication year, clinical trial status, NCT number, intervention model, blinding, study type, study phase, geographical location, article type, specific immune checkpoint inhibitor (ICI) drugs, sample size, pathological complete response (pCR), major pathological response (MPR), Grade 3-4 TRAEs, objective response rate (ORR), and resection rate. In cases where this data was unavailable, calculations were made based on the information provided within the articles.</p>
</sec>
<sec id="s2_4">
<title>Quality assessment and risk of bias</title>
<p>We utilized the Methodological Index for Non-Randomized Studies (MINORS) quality assessment tool to evaluate the quality of non-randomized studies. The assessment covered specific criteria including the clarity of the study&#x2019;s objectives, consistency in patient inclusion, collection of anticipated data, appropriateness of endpoints reflecting the study&#x2019;s objectives, objectivity in endpoint evaluation, adequacy of follow-up, dropout rates below 5%, and the consideration of sample size estimation. Each criterion was scored on a scale from 0 to 2: 0 indicated unreported, 1 reported but inadequately, and 2 reported and fully detailed, with an ideal score of 16. The review authors&#x2019; judgments of the risk of bias for each item are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary (Figure S)</bold>
</xref>.</p>
</sec>
<sec id="s2_5">
<title>Data analysis</title>
<p>In single-arm trials lacking a control group, the uncontrolled binary data need conversion. The transformation formula used is:<italic>p</italic>=ln(odds)=ln[<italic>X</italic>/(<italic>n&#x2212;X</italic>)], Here, <italic>n</italic> represents the total number of included patients, <italic>X</italic> indicates the number of events, <italic>p</italic> signifies the occurrence rate, and SE(<italic>p</italic>)=SE[ln(odds)] = <inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:msqrt>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mi>X</mml:mi>
<mml:mo>+</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo stretchy="false">/</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi>n</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mi>X</mml:mi>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>, where SE(<italic>p</italic>) stands for the standard error; Subsequently, the odd ratio (OR) and its 95% confidence interval (CI), Actual occurrence rates(<italic>p</italic>
<sub>f</sub>) and their 95% CI are obtained by using the formula <italic>p</italic>
<sub>f</sub>=OR/(1+OR),The lower limit of the 95% CI (LL) is calculated as(LL)=LL<sub>OR</sub>/(1+LL<sub>OR</sub>) and the upper limit of the 95% CI(UL)=UL<sub>OR</sub>/(1+UL<sub>OR</sub>).Heterogeneity among the included studies was analyzed using the <italic>&#x3c7;</italic>
<sup>2</sup> test and <italic>I</italic> <sup>2</sup> test, if <italic>P</italic>&lt;0.1, <italic>I</italic>
<sup>2</sup> &#x2265;50%,it indicates statistical heterogeneity among the studies, thus requiring the utilization of a random-effects model for the combined analysis. If not, a fixed-effects model was employed for the combined analysis.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Literature screening results and basic information of included studies</title>
<p>A total of 913 relevant articles were initially identified. After removing duplicate articles and reviewing titles, abstracts, and full texts, a final selection of 11 articles (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), comprising 255 patients, was included. The flowchart of the literature screening process is illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, and the basic information of the included studies is provided in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of neoadjuvant immunotherapy studies in patients with hepatocellular carcinoma.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Source (Author/Year)</th>
<th valign="middle" align="center">Trial Indentifier</th>
<th valign="middle" align="center">Region</th>
<th valign="middle" align="center">Sample<break/>Size</th>
<th valign="middle" align="center">Study Phase</th>
<th valign="middle" align="center">Intervention Model</th>
<th valign="middle" align="center">Masking</th>
<th valign="middle" align="center">Study Type</th>
<th valign="middle" align="center">Randomization Method</th>
<th valign="middle" align="center">Article Type</th>
<th valign="middle" align="center">Neoadjuvant Immuotherapy</th>
<th valign="middle" align="center">ICIs Post-Surgery</th>
<th valign="middle" align="center">pCR</th>
<th valign="middle" align="center">MPR</th>
<th valign="middle" align="center">Grade3&#x2013;4 TRAEs</th>
<th valign="middle" align="center">ORR</th>
<th valign="middle" align="center">Resection<break/>rate</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Shi, Y.H. et&#xa0;al., (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="center">NCT03867370</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">1b/2</td>
<td valign="middle" align="center">Sequential Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">Randomized</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Toripalimab (n = 14) or Toripalimab+ Lenvatinib (n = 4)</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">6.3%(1/16)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">16.7%(3/18)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Su, Y. et&#xa0;al., (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="center">NCT03510871</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Nivolumab+ ipilimumab</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">33.3%(5/15)</td>
<td valign="middle" align="center">41.4%(12/29)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">51.7%(15/29)</td>
</tr>
<tr>
<td valign="middle" align="center">Ho, W.J. et&#xa0;al., (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="center">NCT03299946</td>
<td valign="middle" align="center">USA</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Full text</td>
<td valign="middle" align="center">Nivolumab+ Cabozantinib</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">8.3%(1/12)</td>
<td valign="middle" align="center">33.3%(4/12)</td>
<td valign="middle" align="center">13.3%(2/15)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">80%(12/14)</td>
</tr>
<tr>
<td valign="middle" align="center">Marron,T.U. et&#xa0;al., (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="center">NCT03916627</td>
<td valign="middle" align="center">USA</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Full text</td>
<td valign="middle" align="center">Cemiplimab</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">15%(3/20)</td>
<td valign="middle" align="center">20%(4/20)</td>
<td valign="middle" align="center">10%(2/21)</td>
<td valign="middle" align="center">15%(3/20)</td>
<td valign="middle" align="center">95.2%(20/21)</td>
</tr>
<tr>
<td valign="middle" align="center">Xia, Y. et&#xa0;al., (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="center">NCT04297202</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Full text</td>
<td valign="middle" align="center">Camrelizumab+ Apatinib</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">5.9%(1/17)</td>
<td valign="middle" align="center">17.6%(3/17)</td>
<td valign="middle" align="center">16.7%(3/18)</td>
<td valign="middle" align="center">16.7%(3/18)</td>
<td valign="middle" align="center">94.4%(17/18)</td>
</tr>
<tr>
<td valign="middle" align="center">Kaseb, A.O. et&#xa0;al., (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="center">NCT03222076</td>
<td valign="middle" align="center">USA</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Parallel Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">Randomized</td>
<td valign="middle" align="center">Full text</td>
<td valign="middle" align="center">Nivolumab (n = 13) or Nivolumab +Ipilimumab (n = 14)</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">25%(5/20)</td>
<td valign="middle" align="center">30%(6/20)</td>
<td valign="middle" align="center">33.3%(9/27)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">74.1%(20/27)</td>
</tr>
<tr>
<td valign="middle" align="center">Chen, S. et&#xa0;al., (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="center">NCT04615143</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Sequential Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">Non-Randomized</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Tislelizumab</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">9.1%(1/11)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">18.2% (2/11)</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Bai, X. et&#xa0;al., (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="center">NCT04930315</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Parallel Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">Randomized</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Camrelizumab+ Apatinib (n = 16)</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">9.1%(1/11)</td>
<td valign="middle" align="center">27.3%(3/11)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="center">Song,T.Q. et&#xa0;al., (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="middle" align="center">NCT04834986</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Tislelizumab +Lenvatinib</td>
<td valign="middle" align="center">Yes</td>
<td valign="middle" align="center">17.6%(3/17)</td>
<td valign="middle" align="center">35.3%(6/17)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">54.2%(13/24)</td>
<td valign="middle" align="center">70.8%(17/24)</td>
</tr>
<tr>
<td valign="middle" align="center">D&#x2019;Alessio,A. et&#xa0;al., (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="middle" align="center">NCT03682276</td>
<td valign="middle" align="center">UK</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1b</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Nivolumab+ Ipilimumab</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">38%(6/16)</td>
<td valign="middle" align="center">56%(9/16)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">29%(6/21)</td>
<td valign="middle" align="center">84%(21/25)</td>
</tr>
<tr>
<td valign="middle" align="center">Sun,H.C.et al., (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="center">NCT04843943</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">Single Group Assignment</td>
<td valign="middle" align="center">Open Label</td>
<td valign="middle" align="center">Clinical Trial</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">Conference abstract</td>
<td valign="middle" align="center">Sintilimab+ Bevacizumab</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">N/A</td>
<td valign="middle" align="center">23.3%(7/30)</td>
<td valign="middle" align="center">26.7%(8/30)</td>
<td valign="middle" align="center">56.7%(17/30)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>N/A, not applicable; ICIs, immune checkpoint inhibitors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Efficacy of neoadjuvant immune checkpoint inhibitors</title>
<p>Nine studies reported the pathological complete response (pCR) rates ranging from 5.9% to 38% (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). No statistical heterogeneity was observed among the studies (<italic>P</italic>=0.32, <italic>I<sup>2&#xa0;=&#xa0;</sup>
</italic>13%), hence a fixed-effect model was employed for meta-analysis. The pooled results of the included trials indicated a statistically significant benefit with the use of neoadjuvant Immune Checkpoint Inhibitors (ICI) in terms of pCR rates [OR=0.22, 95%CI (0.14, 0.36), <italic>P</italic>&lt;0.00001], as illustrated in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of the efficacy of neoadjuvant immune checkpoint inhibitors in resectable hepatocellular carcinoma. <bold>(A)</bold> pCR, <bold>(B)</bold> MPR, <bold>(C)</bold> ORR. pCR, pathological complete response; MPR, major pathological response; ORR, Overall Response Rate.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g002.tif"/>
</fig>
<p>Eight studies reported the major pathological response (MPR) rates (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>), ranging from 17.6% to 56%. In terms of MPR, individual odds ratios (ORs) from each eligible study supported the use of neoadjuvant ICI (individual OR&lt;1.0). No statistical heterogeneity was observed among the studies (<italic>P</italic>=0.42, <italic>I<sup>2&#xa0;=&#xa0;</sup>
</italic>2%), and a fixed-effect model was applied for meta-analysis. The results demonstrated that neoadjuvant ICI showed significant benefits, with a statistically significant difference in MPR rates [OR=0.47, 95%CI (0.31, 0.70), <italic>P</italic>=0.0002], as shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>.</p>
<p>Six studies reported the Objective Response Rate (ORR) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), ranging from 15% to 52.2%. Significant heterogeneity existed among the studies (<italic>P</italic>=0.06, <italic>I<sup>2&#xa0;=&#xa0;</sup>
</italic>52%), hence a random-effects model was utilized for meta-analysis. The results indicated a significant effect on Objective Response Rate (ORR) with the use of neoadjuvant ICI, showing a statistically significant difference in ORR rates [OR=0.37, 95%CI (0.20, 0.69), <italic>P</italic>&lt;0.002], as depicted in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>.</p>
</sec>
<sec id="s3_3">
<title>Safety of neoadjuvant immune checkpoint inhibitors</title>
<p>Eight studies reported on surgical resection (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>), displaying statistical heterogeneity among the studies (P=0.008, <italic>I<sup>2&#xa0;=&#xa0;</sup>
</italic>63%). A random-effects model was used for meta-analysis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). The pooled Odds Ratio (OR) for resection rate was 3.08 (95% CI, 1.66-5.72) with a p-value of 0.0004.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of the safety of neoadjuvant immune checkpoint inhibitors in resectable hepatocellular carcinoma. <bold>(A)</bold> Resection Rate, <bold>(B)</bold> Grade 3&#x2013;4 TRAEs. TRAEs, treatment-related adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g003.tif"/>
</fig>
<p>The incidence of Treatment-Related Adverse Events (TRAEs) is commonly associated with the safety of neoadjuvant ICI in clinical trial studies. No patient deaths due to TRAEs were reported across all trials. Preoperative grade 3-4 TRAEs included pneumonia, drug-induced hepatitis, itching, maculopapular rash, severe muscular weakness, elevated lipase, pancreatitis, immune-mediated diarrhea, and colitis, among others. A pooled analysis of seven studies indicated an OR of 0.35 (95% CI, 0.24-0.51) (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>), displaying no statistical heterogeneity among the studies (<italic>P</italic>=0.14, <italic>I<sup>2&#xa0;=&#xa0;</sup>
</italic>38%), and a fixed-effect model was employed for meta-analysis. The results demonstrated a benefit in terms of safety for neoadjuvant ICI (<italic>P</italic>&lt;0.00001), <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>.</p>
</sec>
<sec id="s3_4">
<title>Subgroup analysis</title>
<p>Through subgroup analysis, we examined clinical outcomes such as pCR, MPR, ORR, TRAEs, and surgical resection rates, studying whether different treatment regimens have differences in efficacy and safety, and whether they exert varying influences on clinical outcomes.</p>
<p>The subgroup analysis results indicate no significant differences among the three types of immune checkpoint inhibitors (ICIs) in terms of single-drug therapy (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A&#x2013;C</bold>
</xref>). However, the odds ratio (OR) of adverse events associated with nivolumab as a monotherapy (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>) was higher than that of Cemiplimab, showing a significant inter-group difference statistically. On the other hand, the OR of Cemiplimab as a monotherapy for the rate of excision (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>) was higher than that of nivolumab, indicating a difference between groups but without statistical significance.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Subgroup analyses of immune checkpoint inhibitor drug types for <bold>(A)</bold> pCR, <bold>(B)</bold> MPR, <bold>(C)</bold> ORR, <bold>(D)</bold> Grade3&#x2212;4 TRAEs and <bold>(E)</bold> Resection Rate.pCR, pathological complete response; MPR, major pathological response; ORR, Overall Response Rate; TRAEs, treatment-related adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g004.tif"/>
</fig>
<p>Regarding different immune combination therapies, the combined OR for pathological complete response (pCR) with dual ICI therapy (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>) was higher than that with single-drug therapy, while the combined OR of single-drug therapy was higher than that of immunotherapy combined with targeted therapy, showing differences between groups and statistical significance. The statistical results for major pathological response (MPR) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) and objective response rate (ORR) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>) showed no differences among the groups. The combined OR for the occurrence of adverse events associated with dual ICI therapy (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>) was higher than that of single-drug therapy, and the combined OR of single-drug therapy was higher than that of immunotherapy combined with targeted therapy, with significant inter-group differences and statistical significance. There were no differences observed among the groups in terms of surgical excision rates (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Subgroup analyses based on neoadjuvant immune checkpoint inhibitor combinations for pCR. pCR, pathological complete response.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Subgroup analyses based on neoadjuvant immune checkpoint inhibitor combinations for MPR. MPR, major pathological response.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Subgroup analyses based on neoadjuvant immune checkpoint inhibitor combinations for ORR. ORR, Overall Response Rate.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g007.tif"/>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Subgroup analyses based on neoadjuvant immune checkpoint inhibitor combinations for Grade3&#x2212;4 TRAEs. TRAEs, treatment-related adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g008.tif"/>
</fig>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Subgroup analyses based on neoadjuvant immune checkpoint inhibitor combinations for Resection Rate.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1352873-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Overall, this study&#x2019;s results demonstrate the advantages of neoadjuvant immunotherapy in resectable HCC. First, regarding efficacy, the meta-analysis showed an overall odds ratio (OR) of 0.37 (95% CI 0.20-0.69) for ORR, with the maximum ORR reported at 54.2% (<xref ref-type="bibr" rid="B27">27</xref>). The summarized ORs for pCR and MPR were 0.22 (95% CI 0.14-0.36) and (95% CI 0.31-0.70), respectively, with the maximum pCR and MPR reported at 38% and 56% (<xref ref-type="bibr" rid="B28">28</xref>), respectively. These results align closely with neoadjuvant immunotherapy outcomes in other tumor types (<xref ref-type="bibr" rid="B29">29</xref>). However, considering the ongoing nature of most studies, data regarding post-tumor resection patient survival are limited. Only four articles provided statistical data, among which Kaseb, A.O. et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>) reported nivolumab&#x2019;s PFS as 9.4 months (95% CI 1.47&#x2013;not estimable [NE]), and nivolumab plus ipilimumab&#x2019;s PFS as 19.53 months (2.33&#x2013;NE). Other studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>) reported EFS and RFS data with a median EFS of 13.8 months (95% CI 10.3-17.3) and a 1-year RFS of 53.85% (95% CI: 24.77%-75.99%). However, due to insufficient follow-up, none of the studies reported OS data. In other tumors, the significant correlation between pathological response and survival has been validated (<xref ref-type="bibr" rid="B30">30</xref>). This study also conducted statistical analysis, as Ho, W. J et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>) found a correlation between achieving MPR (Major Pathological Response) and long-term DFS (Disease-Free Survival). So far, all patients have had a DFS interval exceeding 230 days. Kaseb, A. O. and colleagues (<xref ref-type="bibr" rid="B22">22</xref>) similarly reported a significant difference in recurrence-free survival based on the presence or absence of a significant pathological response (p=0.049), despite a smaller sample size. Six patients who experienced a significant pathological response did not experience recurrence at a median follow-up of 26.8 months, whereas among the 14 patients who did not show a significant pathological response, seven experienced recurrence. Xia, Y et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>), on the other hand, found a higher RFS (Recurrence-Free Survival) in MPR/pCR (Pathological Complete Response) patients compared to non-MPR patients, although it did not reach statistical significance, possibly due to the small sample size.</p>
<p>Post-hepatectomy recurrence is a common cause of disease progression in HCC (<xref ref-type="bibr" rid="B31">31</xref>). Early recurrence is often the result of occult intrahepatic metastasis, closely associated with tumor burden, accounting for approximately 70% of all recurrence cases. Studies indicate that early recurrence significantly decreases overall survival and disease-free survival rates (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Neoadjuvant immunotherapy is believed to induce long-term remission by eliciting antitumor immune responses before primary tumor resection (<xref ref-type="bibr" rid="B34">34</xref>). This therapy correlates with improved pathological responses, enhanced disease-free survival, and expansion of T and B cell reservoirs within the tumor. Additionally, compared to adjuvant therapy, neoadjuvant immunotherapy demonstrates higher efficacy in eradicating metastatic disease (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Marron, T.U. et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)found that patients with tumor necrosis rates exceeding 50% after cemiplimab treatment exhibited stronger immune infiltration compared to patients with minimal or absent necrosis in surgical samples. Similarly, Kaseb, A.O. et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>), analyzing tissue samples pre and post-resection, correlated treatment response with immune cell infiltration. They discovered a correlation between T cell activation positive (VISTA+) bone marrow cell clusters and significant pathology reactions. This phenomenon aligns with other studies in various tumor types (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Xia, Y. et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>) further reported that compared to patients with large tumor lesions, neoadjuvant immunotherapy has shown promising outcomes, particularly in HCC patients, especially those with a single lesion. This may be attributed to the increased presence of immune cell infiltration and upregulation of immune pathways in smaller tumor lesions. Variations in individual responses to immunotherapy among different patients suggest a correlation between the immune status of tumor lesions and individual anti-tumor responses and survival benefits.</p>
<p>Regarding the safety of neoadjuvant immunotherapy, the overall odds ratio for grade 3-4 TRAEs was 0.35 (95% CI 0.24-0.51). Most immunotherapy-related adverse effects were manageable, some resolving after treatment discontinuation, and others responding well to corticosteroid therapy. Overall, neoadjuvant immunotherapy in HCC demonstrated safety akin to previous studies in gastrointestinal tumors (<xref ref-type="bibr" rid="B39">39</xref>).Furthermore, the highest occurrence rate of grade 3-4 adverse events reported in this study was 43% (reported by Kaseb, A.O. et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>)&#x2014;the only RCT in this article). The study also found that the combination of nivolumab and ipilimumab led to a higher rate of grade 3-4 treatment-related adverse events compared to nivolumab alone. However, this difference, at 20% ([95% CI &#x2013;14.7% to 38.7], p=0.69), was not significant, suggesting that different combination therapies might result in varied outcomes, prompting considerations on optimizing drug usage to maximize patient benefit. Furthermore, the overall surgical resection rate after neoadjuvant immunotherapy showed an OR of 3.08 (95% CI 1.66-5.72). Although most patients underwent surgery as scheduled, a small proportion might lose their surgical eligibility due to disease progression, potentially facing toxic effects. Therefore, comprehensive preparation for unforeseen risks during the perioperative period is necessary to maximize patient benefits and ensure treatment safety.</p>
<p>The results of subgroup analysis indicate that there is no significant difference in efficacy among the three immune checkpoint inhibitors (ICIs) in monotherapy. However, regarding different immune combination therapies, the efficacy of dual ICI treatment is superior to monotherapy, while monotherapy is better than immune combination targeted therapy. Conversely, adverse event occurrences present a contrasting scenario where the rate of Grade 3-4 treatment-related adverse events (TRAEs) is lowest in immune combination targeted therapy. Both targeted and immune therapies have gained wide clinical application in HCC, but single therapy may lead to resistance and offer limited clinical benefits. Studies suggest that their combination yields better treatment outcomes. For instance, the IMbrave150 trial (<xref ref-type="bibr" rid="B40">40</xref>) demonstrated significant improvements in 1-year survival rates (67.2%) and mPFS (6.8 months) in previously untreated advanced HCC patients receiving atezolizumab combined with bevacizumab, approved by the FDA and CSCO for first-line treatment in advanced HCC. Other combinations such as lenvatinib plus pembrolizumab, sintilimab plus bevacizumab, and camrelizumab plus apatinib have also shown promising results (<xref ref-type="bibr" rid="B41">41</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). Additionally, the anticipated IMbrave050 phase III clinical study released mid-term analysis results at the 2023 AACR conference, indicating a 28% significant reduction in the risk of recurrence, distant metastasis, or death in HCC patients post-radical treatment (surgical resection or ablation) with the immune+anti-angiogenesis combination therapy (T+A regimen) (<xref ref-type="bibr" rid="B45">45</xref>), demonstrating clear survival benefits. Mechanistically, studies found that immune-modulating drugs restored the immune-supportive microenvironment, while anti-VEGF drugs like bevacizumab improved immune suppression and aided in restoring vascular normalization for efficient drug delivery, allowing for lower doses of ICI to reduce adverse reactions (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). In our subgroup analysis, while the combination of targeted therapy and Immunotherapy did not show a significant superiority, with the short follow-up, long-term survival benefits post-surgery need attention, providing clinical evidence for selecting optimal treatment strategies in the future.</p>
<p>Furthermore, with the widespread application of immunotherapy in HCC, many researchers have observed that patients showing favorable responses can gain long-term survival benefits (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). However, there remain numerous patients who do not respond to immunotherapy, and identifying &#x201c;high-quality&#x201d; patients remains a pressing issue. Studies in various solid tumors have shown that the response rate to PD-L1/PD-1 inhibitor treatment correlates with overexpression of PD-L1 in patients&#x2019; tumor tissues, serving as a predictive biomarker for immunotherapy sensitivity (<xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>). In studies specific to primary liver cancer, such as CheckMate040 and CheckMate459, patients with PD-L1 expression &#x2265;1% and PD-L1 expression&lt;1% exhibited significant differences in median overall survival time (OS) and objective response rates (ORR) (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). However, the KEYNOTE224 study showed that tumor cell PD-L1 expression levels were not associated with treatment response rates (<xref ref-type="bibr" rid="B57">57</xref>). Other biomarkers such as gut microbiota, circulating tumor DNA, tumor-infiltrating lymphocytes, among others, have also undergone extensive research in HCC (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B58">58</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>). However, most biomarkers lack validation from large prospective studies, and their specificity and sensitivity remain unclear. Within this paper, only three articles reported results related to immune biomarkers. Xia, Y. and Ho, W. J (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>). discovered that tumor-infiltrating B cells or high expression of DCs serve as immune biomarkers for anti-tumor immunotherapy. Additionally, they found that higher levels of DCs after neoadjuvant treatment corresponded to a lower likelihood of patient recurrence. D&#x2019;Alessio, A (<xref ref-type="bibr" rid="B28">28</xref>). focused on endpoints, suggesting that immune cell infiltration, peripheral cell-free DNA (cfDNA), and gut microbiota composition could serve as predictive factors for the efficacy of Nivo+Ipi anti-tumor therapy. Similar findings have been confirmed in tumors such as melanoma, colon cancer, lung cancer, and others (<xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B64">64</xref>). Presently, precise and efficient prognostic biomarkers in combination or establish multidimensional predictive models to select populations benefiting most from immune therapy, thus maximizing patients&#x2019; survival prospects.</p>
<p>Nevertheless, this systematic review has certain limitations. On one hand, there are discrepancies in the included literature regarding treatment regimens, patient inclusion criteria, pathological and radiological response criteria, leading to study heterogeneity. On the other hand, since more than half of the data originates from conference abstract articles, most of these do not report follow-up survival indicators such as Disease-Free Survival (DFS), Overall Survival (OS), etc. Consequently, this paper cannot analyze whether neoadjuvant treatment contributes to long-term benefits for patients. Moreover, there are only a few articles reporting on biomarkers for the efficacy of neoadjuvant immunotherapy, and no established patterns have emerged yet.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In conclusion, research indicates that neoadjuvant therapy demonstrates both effectiveness and safety in resectable HCC. Regarding its efficacy, we observed that neoadjuvant immunotherapy results in pathological or radiological responses in certain patients, and these individuals seemingly experience better survival outcomes. Concerning its safety, the overall incidence of grade 3-4 treatment-related adverse events (TRAEs) with neoadjuvant immunotherapy is relatively low and does not significantly affect subsequent treatment plans. In summary, neoadjuvant immunotherapy offers benefits in the treatment of resectable liver cancer. However, substantial, high-quality trials in the future remain imperative to offer sturdy data support.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>CT: Investigation, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YY: Data curation, Funding acquisition, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YW: Conceptualization, Project administration, Supervision, Writing &#x2013; review &amp; editing. LY: Conceptualization, Funding acquisition, Methodology, Writing &#x2013; original draft. CY: Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. YT: Funding acquisition, Resources, Visualization, Writing &#x2013; review &amp; editing. GF: Funding acquisition, Resources, Visualization, Writing &#x2013; review &amp; editing. DZ: Funding acquisition, Resources, Visualization, Writing &#x2013; review &amp; editing. XW: Funding acquisition, Resources, Visualization, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Guangdong Provincial Key Area Research and Development Program Project (Grant No. 2020B1111100011), National Natural Science Foundation of China (Grant No. 82274605), National Natural Science Foundation of China (Grant No. 82205220), the General Project of Shenzhen Science and Technology Innovation Commission (Grant No. JCYJ20190807101603569), the Project of Shenzhen Longgang District Science and Technology Innovation Bureau (Grant No. LGKCYLWS2022), the Yulong Talent Training Plan Project of Shenzhen Hospital of Beijing  University of Traditional Chinese Medicine (Grant No. 2020-BUCMSZYLR05), the Medicine and Health Project of Zhejiang pvovince, China (Grant No.2021KY1174) and the Science and Technology Program of Zhoushan, China (Grant No.2021C31059).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank Editage for providing language editing for this manuscript.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="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>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2024.1352873/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2024.1352873/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.zip" id="SM1" mimetype="application/zip"/>
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