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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.2025.1664519</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Tislelizumab plus tyrosine kinase inhibitors with TACE improves survival in unresectable hepatocellular carcinoma with clinical predictors and manageable safety</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Fengliang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Zhenxue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Chunpeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Qun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chang</surname>
<given-names>Shuai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Song</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3131693/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Interventional Medical Center, The Affiliated Hospital of Qingdao University</institution>, <addr-line>Qingdao, Shandong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Internal Medicine, Qingdao Cardiovascular Hospital</institution>, <addr-line>Qingdao, Shandong</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/553160/overview">Luca Rinaldi</ext-link>, University of Molise, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1893635/overview">Alfredo Caturano</ext-link>, Universit&#xe0; telematica San Raffaele, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3153739/overview">Carlo Acierno</ext-link>, San Carlo Hospital, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Song Wang, <email xlink:href="mailto:derekqyfy@126.com">derekqyfy@126.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1664519</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wang, Cao, Yu, Li, Li, Chang, Zhang and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Cao, Yu, Li, Li, Chang, Zhang 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 &amp; Aims</title>
<p>The survival benefit of adding transarterial chemoembolization (TACE) to systemic therapy (tislelizumab plus tyrosine kinase inhibitors [TKIs]) for unresectable hepatocellular carcinoma (HCC) requires validation. This retrospective study compared the efficacy and safety of tislelizumab-TKIs with or without TACE and identified clinical predictors of benefit.</p>
</sec>
<sec>
<title>Methods</title>
<p>This retrospective analysis included 283 unresectable HCC patients: systemic therapy alone (STG, n=98; tislelizumab plus TKIs) versus combination therapy (CTG, n=185; tislelizumab plus TKIs and TACE). Primary endpoints were overall survival (OS) and progression-free survival (PFS), analyzed by Cox regression. Propensity score matching (PSM) was used to reduce baseline differences between the two groups.</p>
</sec>
<sec>
<title>Results</title>
<p>After PSM, CTG significantly improved median OS (22.5 [95% confidence interval (CI): 19.0&#x2013;34.4] <italic>vs</italic>. 14.0 [12.1&#x2013;18.6] months; hazard ratio (HR) 0.53, p&lt;0.001) and PFS (14.6 [12.1&#x2013;19.1] <italic>vs</italic>. 9.5 [7.8&#x2013;12.5] months; HR 0.59, p&lt;0.001) versus STG. Multivariate analysis identified independent predictors of poor OS: age &lt;60 years, extrahepatic spread, portal vein thrombus, alpha-fetoprotein (AFP) &#x2265;400 ng/mL, and elevated gamma-glutamyl transferase (GGT). Subgroups with maximal CTG benefit included patients aged &#x2265;60 years, no extrahepatic spread, AFP &lt;400 ng/mL, and normal GGT. CTG had higher all-grade adverse events (79.6% <italic>vs</italic>. 67.0%, p=0.021) and grade &#x2265;3 events (23.5% <italic>vs</italic>. 14.1%, p=0.038), primarily manageable liver toxicity and hematological abnormalities.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Combining TACE with tislelizumab-TKIs significantly improves survival over systemic therapy alone in unresectable HCC, with maximal benefit observed in patients aged &#x2265;60 years, without extrahepatic spread, with AFP &lt;400 ng/mL, or normal GGT, despite increased manageable toxicity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>tislelizumab</kwd>
<kwd>tyrosine kinase inhibitors (TKIs)</kwd>
<kwd>transarterial chemoembolization (TACE)</kwd>
<kwd>survival analysis</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="10"/>
<word-count count="4625"/>
</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">
<title>Highlights</title>
<list list-type="bullet">
<list-item>
<p>Tislelizumab + TKIs + TACE significantly improved median OS (22.5 <italic>vs</italic>. 14.0 months) and PFS (14.6 <italic>vs</italic>. 9.5 months) over systemic therapy alone in unresectable HCC.</p>
</list-item>
<list-item>
<p>Maximal OS benefit from triple therapy occurred in patients aged &#x2265;60 years, without extrahepatic spread, AFP &lt;400 ng/mL, or normal GGT levels.</p>
</list-item>
<list-item>
<p>Triple therapy increased all-grade AEs (79.6% <italic>vs</italic>. 67.0%) and grade &#x2265;3 AEs (23.5% <italic>vs</italic>. 14.1%), but had comparable treatment discontinuation rates, supporting clinical feasibility.</p>
</list-item>
<list-item>
<p>Abbreviations</p>
</list-item>
<list-item>
<p>TACE transarterial chemoembolization; HCC hepatocellular carcinoma; TKIs tyrosine kinase inhibitors; STG systemic therapy group; OS overall survival; PFS progression-free survival; PSM propensity score matching; CI confidence interval; HR hazard ratio; AFP alpha-fetoprotein; GGT gamma-glutamyl transferase; CTG combination therapy group; BCLC Barcelona clinic liver cancer; ICIs immune checkpoint inhibitors; DEB-TACE drug-eluting bead transarterial chemoembolization; PD-1 programmed cell death protein 1; CT computed tomography; MRI magnetic resonance imaging; IQR interquartile range</p>
</list-item>
</list>
</sec>
<sec id="s2" sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) remains a formidable global health burden, accounting for over 900,000 annual diagnoses and ranking as the third leading cause of cancer-related mortality (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Despite therapeutic advancements, unresectable advanced-stage HCC continues to portend a dismal prognosis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). First-line systemic therapies combining immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs), such as atezolizumab-bevacizumab, have improved outcomes but demonstrate suboptimal efficacy in real-world populations, particularly among patients with high intrahepatic tumor burden, vascular invasion, or compromised liver function (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Concurrently, transarterial chemoembolization (TACE), the standard for intermediate-stage HCC, achieves localized tumor control through ischemic necrosis and intra-arterial chemotherapy but fails to address systemic progression (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). This therapeutic dichotomy underscores the urgent need for synergistic strategies integrating locoregional and systemic modalities.</p>
<p>Emerging preclinical evidence supports the biological rationale for combining TACE with immunotherapy and TKIs (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). TACE may potentiate anti-programmed cell death protein-1 (PD-1) efficacy by releasing tumor-associated antigens and modulating the immunosuppressive microenvironment via hypoxia-inducible factor downregulation, while TKIs could counteract post-TACE VEGF-driven angiogenesis (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). However, clinical validation remains limited to small single-arm studies lacking real-world evidence on the synergistic potential of locoregional-systemic combination therapy, with implications for refining clinical decision-making and guiding future prospective trial designs. This study aimed to compare the efficacy and safety of tislelizumab-TKIs with or without TACE and identified patient subgroups benefiting from combined modality therapy.</p>
</sec>
<sec id="s3">
<title>Methods</title>
<sec id="s3_1">
<title>Study design and participants</title>
<p>This retrospective cohort study enrolled consecutive patients diagnosed with unresectable HCC, classified as Barcelona Clinic Liver Cancer (BCLC) stage B or C, at a single tertiary center between January 2018 and June 2023. Inclusion criteria were Child-Pugh class A or B liver function, Eastern Cooperative Oncology Group (ECOG) performance status 0&#x2013;1, no prior exposure to systemic therapy or TACE, and the presence of at least one measurable intrahepatic lesion according to modified Response Evaluation Criteria in Solid Tumors (mRECIST) (<xref ref-type="bibr" rid="B22">22</xref>). Exclusion criteria included non-TACE indications, active autoimmune diseases or ongoing immunosuppressive therapy, incomplete clinical or imaging follow-up data, and severe cardiovascular comorbidities such as uncontrolled hypertension or New York Heart Association class III/IV heart failure. Patients were divided into either the systemic therapy group (STG) or the combination therapy group (CTG), based on whether they received treatment without or with TACE. The grouping of patients (STG <italic>vs</italic>. CTG) was primarily determined by whether they met the clinical criteria for TACE treatment (e.g., liver function, tumor burden, portal vein invasion status, etc.), rather than random assignment. The patient screening flowchart is presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study flowchart.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1664519-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing patient inclusion and exclusion for a study on unresectable HCC (BCLC B/C) conducted between January 2018 and June 2023. A total of 2,454 patients were initially considered. Inclusion criteria: Child-Pugh A/B, ECOG 0-1, no prior systemic therapy/TACE, and at least one measurable intrahepatic lesion (mRECIST). Of these, 497 received intravenous tislelizumab with oral TKIs, with or without TACE. 214 were excluded due to non-TACE indications, autoimmune conditions, cardiovascular comorbidities, or incomplete data. Following exclusions, patients were categorized into systemic therapy group (98) and combination therapy group (185), with propensity score matching yielding 96 in each group.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<title>TACE procedure</title>
<p>Patients in the CTG received standard TACE using a lipiodol-based chemotherapeutic emulsion (containing pirarubicin, 30&#x2013;50 mg; lobaplatin, 30&#x2013;50 mg; and lipiodol, 2&#x2013;15 ml), followed by embolization with microspheres and gelatin sponge particles (100&#x2013;300 &#x3bc;m) (<xref ref-type="bibr" rid="B23">23</xref>). The chemotherapeutic agent dosage was adjusted according to tumor size and liver function. Repeat TACE procedures were performed on an on-demand basis upon imaging evidence (contrast-enhanced CT or MRI) of active tumor or intrahepatic recurrence. All TACE procedures were conducted by interventional radiologists at our center with at least 5 years of experience. Under DSA guidance, selective catheterization of tumor-feeding arteries was performed, followed by embolization until stasis of contrast flow. Repeat TACE sessions were administered for residual or recurrent lesions, with intervals &#x2265;4 weeks between procedures. Post-procedure management included hydration, analgesics, and monitoring for embolization-related complications.</p>
</sec>
<sec id="s3_3">
<title>Molecular targeted agents and tislelizumab administration</title>
<p>In the STG, patients received intravenous tislelizumab (200 mg every 3 weeks) combined with oral TKIs: sorafenib (400 mg twice daily), lenvatinib (8 mg/day for body weight &lt;60 kg or 12 mg/day for &#x2265;60 kg), regorafenib (80, 120 or 160 mg once daily for 3 weeks followed by 1 week off), apatinib (500 or 750 mg once daily), or donafenib (200 mg twice daily); with TKI dose reductions permitted for grade &#x2265;3 adverse events (AEs). The CTG group initiated the same systemic regimen (tislelizumab plus TKIs) within 7 days after the first TACE session, with subsequent TACE cycles synchronized to systemic therapy and temporary TKI interruption (&#x2264;7 days) during TACE procedures. Treatment protocols included dose adjustments for TKIs (50% reduction for grade 3 AEs and discontinuation for grade 4 events) and permanent discontinuation of tislelizumab for unresolved grade &#x2265;3 immune-related AEs despite corticosteroid therapy. Systemic therapy was continued until disease progression, intolerable toxicity, or patient withdrawal.</p>
</sec>
<sec id="s3_4">
<title>Assessments</title>
<p>Tumor response was evaluated using contrast-enhanced CT or MRI at baseline and every 8 (&#xb1; 1) weeks thereafter. The radiologists involved in assessing tumor response were not formally blinded to the treatment groups. All radiographic assessments were conducted according to the standardized mRECIST criteria. The scans were reviewed independently by two experienced radiologists, with any discrepancies resolved by a third senior radiologist to reach a consensus. Clinical and laboratory variables collected included: extrahepatic spread, portal vein tumor thrombus, serum alpha-fetoprotein (AFP), and gamma-glutamyl transferase (GGT) levels. Safety monitoring adhered to Common Terminology Criteria for Adverse Events (CTCAE) version 5.0, with specific documentation of TACE-related complications.</p>
</sec>
<sec id="s3_5">
<title>Statistical analysis</title>
<p>Overall survival (OS) was defined as the time from treatment initiation to death from any cause. Progression-free survival (PFS) was measured as the time to radiologic progression or death. Survival curves were generated using the Kaplan-Meier method and compared via log-rank test. Univariate and Multivariate Cox regression analyses were performed for all baseline variables, including sex, age, surgical resection, TKI agents (sorafenib, regorafenib, apatinib, donafenib; reference: lenvatinib), TACE, etiology, extrahepatic spread, tumor diameter, tumor number, portal vein tumor thrombus, Child-Pugh class, BCLC stage, MELD score, AFP, platelet count, prothrombin time (PT), international normalized ratio (INR), albumin, serum creatinine (Scr), GGT, cholinesterase, total bilirubin, hemoglobin, and lymphocyte count. The cut-off values were based on either established clinical standards (as for AFP) or ROC-derived values (as for GGT). To minimize the potential influence of confounding factors and reduce selection bias affecting OS and PFS, baseline patient characteristics between the two groups were matched using 1:1 propensity score matching (PSM). The matching variables included sex, age, surgical resection, type of TKIs, hepatitis status, extrahepatic spread, tumor diameter, tumor number, BCLC stage, portal vein tumor thrombus, Vp type, Child-Pugh class, MELD score, AFP level, and platelet count. Treatment effect heterogeneity was evaluated using likelihood ratio tests. All analyses were conducted using R software (version 4.2.2) and SPSS (version 26.0). A two-sided P-value &lt;0.05 defined statistical significance.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<title>Results</title>
<sec id="s4_1">
<title>Baseline characteristics</title>
<p>This retrospective analysis included 283 consecutive patients with unresectable HCC treated between January 2018 and June 2023, comprising 185 patients receiving combination therapy (tislelizumab + TKIs + TACE) and 98 receiving systemic therapy alone (tislelizumab + TKIs). Baseline characteristics were well-balanced between groups (p &gt;0.05 for all comparisons): The cohort had a median age of 58 years (interquartile range [IQR] 52&#x2013;65), with male predominance (85.5%) and hepatitis B as the primary etiology (85.9%). Key clinical features including extrahepatic spread (36.2% <italic>vs</italic>. 48.0%, p=0.055), portal vein tumor thrombus (34.1% <italic>vs</italic>. 34.7%, p=0.914), AFP &#x2265;400 ng/mL (33.0% <italic>vs</italic>. 27.6%, p=0.348), tumor diameter &#x2265;5cm (56.2% <italic>vs</italic>. 52.0%, p=0.502), and BCLC stage distribution (Stage B: 38.9% <italic>vs</italic>. 37.8%; Stage C: 61.1% <italic>vs</italic>. 62.2%, p=0.848) showed no statistically significant differences. No significant baseline differences were observed between the two groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). After PSM, each group contained 96 individuals, and the baseline differences between them were significantly reduced, as detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient baseline characteristics before PSM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics, n (%)</th>
<th valign="middle" align="left">CTG(n=185)</th>
<th valign="middle" align="left">STG(n=98)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left" style="">Sex</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.127</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Male</td>
<td valign="middle" align="left" style="">156 (84.3)</td>
<td valign="middle" align="left" style="">89 (90.8)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Female</td>
<td valign="middle" align="left" style="">29 (15.7)</td>
<td valign="middle" align="left" style="">9 (9.2)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Age, (years)</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.301</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;60</td>
<td valign="middle" align="left" style="">75 (40.5)</td>
<td valign="middle" align="left" style="">46 (46.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;60</td>
<td valign="middle" align="left" style="">110 (59.5)</td>
<td valign="middle" align="left" style="">52 (53.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Age, median (IQR)</td>
<td valign="middle" align="left" style="">61 (54, 67)</td>
<td valign="middle" align="left" style="">60 (54, 65.8)</td>
<td valign="middle" align="center" style="">0.135</td>
</tr>
<tr>
<th valign="middle" align="left" style="">Surgical resection</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.910</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Yes</td>
<td valign="middle" align="left" style="">78 (42.2)</td>
<td valign="middle" align="left" style="">42 (42.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;No</td>
<td valign="middle" align="left" style="">107 (57.8)</td>
<td valign="middle" align="left" style="">56 (57.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">TKIs</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style="">0.887</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Lenvatinib</td>
<td valign="middle" align="left" style="">99 (53.5)</td>
<td valign="middle" align="left" style="">49 (50)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Sorafenib</td>
<td valign="middle" align="left" style="">11 (5.9)</td>
<td valign="middle" align="left" style="">5 (5.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Regorafenib</td>
<td valign="middle" align="left" style="">65 (35.1)</td>
<td valign="middle" align="left" style="">39 (39.8)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Apatinib</td>
<td valign="middle" align="left" style="">6 (3.2)</td>
<td valign="middle" align="left" style="">2 (2)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Donafenib</td>
<td valign="middle" align="left" style="">4 (2.2)</td>
<td valign="middle" align="left" style="">3 (3.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Hepatitis B</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.259</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Yes</td>
<td valign="middle" align="left" style="">162 (87.6)</td>
<td valign="middle" align="left" style="">81 (82.7)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;No</td>
<td valign="middle" align="left" style="">23 (12.4)</td>
<td valign="middle" align="left" style="">17 (17.3)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Extrahepatic spread</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.055</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Yes</td>
<td valign="middle" align="left" style="">67 (36.2)</td>
<td valign="middle" align="left" style="">47 (48)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;No</td>
<td valign="middle" align="left" style="">118 (63.8)</td>
<td valign="middle" align="left" style="">51 (52)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Tumor diameter</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.502</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;5cm</td>
<td valign="middle" align="left" style="">81 (43.8)</td>
<td valign="middle" align="left" style="">47 (48)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;5cm</td>
<td valign="middle" align="left" style="">104 (56.2)</td>
<td valign="middle" align="left" style="">51 (52)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">Tumor diameter cm, median (IQR)</td>
<td valign="middle" align="left" style="">5.7 (3, 8.1)</td>
<td valign="middle" align="left" style="">5.1 (3.1, 8.0)</td>
<td valign="middle" align="center" style="">0.761</td>
</tr>
<tr>
<th valign="middle" align="left" style="">Tumor number</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.269</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;3</td>
<td valign="middle" align="left" style="">56 (30.3)</td>
<td valign="middle" align="left" style="">36 (36.7)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;3</td>
<td valign="middle" align="left" style="">129 (69.7)</td>
<td valign="middle" align="left" style="">62 (63.3)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">BCLC stage</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.848</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;B</td>
<td valign="middle" align="left" style="">72 (38.9)</td>
<td valign="middle" align="left" style="">37 (37.8)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;C</td>
<td valign="middle" align="left" style="">113 (61.1)</td>
<td valign="middle" align="left" style="">61 (62.2)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Portal vein tumor thrombus</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.914</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Yes</td>
<td valign="middle" align="left" style="">63 (34.1)</td>
<td valign="middle" align="left" style="">34 (34.7)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;NO</td>
<td valign="middle" align="left" style="">122 (65.9)</td>
<td valign="middle" align="left" style="">64 (65.3)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Vp type</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.924</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;I</td>
<td valign="middle" align="left" style="">2 (3.2)</td>
<td valign="middle" align="left" style="">1 (2.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;II</td>
<td valign="middle" align="left" style="">42 (66.7)</td>
<td valign="middle" align="left" style="">24 (70.6)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;III</td>
<td valign="middle" align="left" style="">19 (30.2)</td>
<td valign="middle" align="left" style="">9 (26.5)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Child-Pugh class</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.715</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;A</td>
<td valign="middle" align="left" style="">136 (73.5)</td>
<td valign="middle" align="left" style="">74 (75.5)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;B</td>
<td valign="middle" align="left" style="">49 (26.5)</td>
<td valign="middle" align="left" style="">24 (24.5)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">MELD score</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.281</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;18</td>
<td valign="middle" align="left" style="">69 (37.3)</td>
<td valign="middle" align="left" style="">43 (43.9)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;18,</td>
<td valign="middle" align="left" style="">116 (62.7)</td>
<td valign="middle" align="left" style="">55 (56.1)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">AFP (ng/ml)</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.348</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;400</td>
<td valign="middle" align="left" style="">124 (67)</td>
<td valign="middle" align="left" style="">71 (72.4)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;400</td>
<td valign="middle" align="left" style="">61 (33)</td>
<td valign="middle" align="left" style="">27 (27.6)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<th valign="middle" align="left" style="">Platelet (10^9/L)</th>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="left" style=""/>
<th valign="middle" align="center" style="">0.448</th>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&lt;100</td>
<td valign="middle" align="left" style="">67 (36.2)</td>
<td valign="middle" align="left" style="">40 (40.8)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;&#x2265;100</td>
<td valign="middle" align="left" style="">118 (63.8)</td>
<td valign="middle" align="left" style="">58 (59.2)</td>
<td valign="middle" align="left" style=""/>
</tr>
<tr>
<td valign="middle" align="left" style="">PT(sec), median (IQR)</td>
<td valign="middle" align="left" style="">13.2 (12.1, 14.2)</td>
<td valign="middle" align="left" style="">13.15 (12.0, 14.2)</td>
<td valign="middle" align="center" style="">0.919</td>
</tr>
<tr>
<td valign="middle" align="left" style="">INR, median (IQR)</td>
<td valign="middle" align="left" style="">1.12 (1.0, 1.2)</td>
<td valign="middle" align="left" style="">1.105 (1.1, 1.2)</td>
<td valign="middle" align="center" style="">0.537</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Albumin(g/l), median (IQR)</td>
<td valign="middle" align="left" style="">38.7 (35.3, 42.6)</td>
<td valign="middle" align="left" style="">39.75 (34.4, 42.9)</td>
<td valign="middle" align="center" style="">0.588</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Serum creatinine(mg/dL), median (IQR)</td>
<td valign="middle" align="left" style="">0.90045 (0.8, 1.0)</td>
<td valign="middle" align="left" style="">0.88801 (0.8, 1.0)</td>
<td valign="middle" align="center" style="">0.571</td>
</tr>
<tr>
<td valign="middle" align="left" style="">GGT(U/L), median (IQR)</td>
<td valign="middle" align="left" style="">53.6 (30, 123.9)</td>
<td valign="middle" align="left" style="">61.7 (30.2, 136.6)</td>
<td valign="middle" align="center" style="">0.623</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Cholinesterase(U/L), median (IQR)</td>
<td valign="middle" align="left" style="">6349 (4903.0, 8202.8)</td>
<td valign="middle" align="left" style="">5874.5 (4289.2, 8376.2)</td>
<td valign="middle" align="center" style="">0.319</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Total bilirubin(mg/dl), median (IQR)</td>
<td valign="middle" align="left" style="">1.3216 (0.9, 1.8)</td>
<td valign="middle" align="left" style="">1.2459 (0.9, 1.7)</td>
<td valign="middle" align="center" style="">0.375</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Hemoglobin(g/l), median (IQR)</td>
<td valign="middle" align="left" style="">140 (126, 151)</td>
<td valign="middle" align="left" style="">140 (119.3, 154.0)</td>
<td valign="middle" align="center" style="">0.758</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Lymphocyte count(10^9/L), median (IQR)</td>
<td valign="middle" align="left" style="">1.27 (0.8, 1.7)</td>
<td valign="middle" align="left" style="">1.255 (0.9, 1.8)</td>
<td valign="middle" align="center" style="">0.917</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Unless otherwise indicated, data are the number of patients or median (interquartile range), with percentages in parentheses; A P-value &lt;0.05 was considered to indicate statistical significance. PSM, propensity score matching; CTG, combination therapy group; STG, systemic therapy group; IQR, interquartile range; TKIs, tyrosine kinase inhibitors; BCLC, barcelona clinic liver cancer; MELD, Model for end-stage liver disease; AFP, alpha-fetoprotein; PT, prothrombin time; INR, international normalized ratio; GGT, gamma-glutamyl transferase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_2">
<title>Survival outcomes</title>
<p>With a median follow-up of 28.6 months (IQR 18.8&#x2013;34.7), the combination therapy group demonstrated significantly superior survival outcomes compared to systemic therapy alone. After PSM, the median OS was 22.5 months (95% confidence interval [CI] 19.0&#x2013;34.4) versus 14.0 months (95% CI 12.1&#x2013;18.6), corresponding to a 47% reduction in mortality risk (hazard ratio [HR] 0.53, p&lt;0.001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2 A</bold>
</xref>). The median PFS was significantly prolonged in the combination group (14.6 months, 95% CI 12.1&#x2013;19.1 <italic>vs</italic>. 9.5 months, 95% CI 7.8&#x2013;12.5; HR 0.64, p&lt;0.001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2 B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>After propensity score matching, the Kaplan&#x2013;Meier analysis of overall survival <bold>(A)</bold> and progression-free survival <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1664519-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival graphs comparing two groups, STG (blue) and CTG (red). Panel A displays overall survival over 50 months, showing better outcomes for CTG. Median survival times are 14.0 months for STG and 22.5 months for CTG. The hazard ratio is 0.53, p &lt; 0.001. Panel B presents progression-free survival, indicating CTG also has favorable outcomes with medians of 9.5 and 14.6 months, respectively. The hazard ratio is 0.59, p &lt; 0.001. Confidence intervals are shown with shaded regions.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4_3">
<title>Prognostic factor analysis</title>
<p>Multivariate analysis of the entire cohort identified five independent predictors of poor OS: age &lt;60 years (HR 1.503, 95% CI 1.109&#x2013;2.036; p=0.008), extrahepatic spread (HR 2.114, 95% CI 1.550&#x2013;2.884; p&lt;0.001), portal vein tumor thrombus (HR 1.480, 95% CI 1.083&#x2013;2.023; p=0.014), AFP &#x2265;400 ng/mL (HR 2.317, 95% CI 1.679&#x2013;3.198; p&lt;0.001), and elevated GGT (cut-off value =107.003; per-unit increase HR 1.002, 95% CI 1.001&#x2013;1.002; p&lt;0.001). Details are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Subgroup analysis within the combination therapy group revealed maximal survival benefit in patients aged &#x2265;60 years (HR 0.593, 95% CI 0.397&#x2013;0.886; p=0.011), without extrahepatic spread (HR 0.578, 95% CI 0.381&#x2013;0.877; p=0.010), AFP &lt;400 ng/mL (HR 0.493, 95% CI 0.326&#x2013;0.746; p=0.001), and normal GGT levels (cut-off value =97.589; per-unit decrease HR 0.999, 95% CI 0.998&#x2013;1.000; p=0.037). Details are shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate and multivariate analysis of factors associated with overall survival.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="3" align="left">Univariate analysis</th>
<th valign="middle" colspan="4" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR</th>
<th valign="middle" align="left">95% <italic>CI</italic>
</th>
<th valign="middle" align="left">
<italic>P</italic>-value</th>
<th valign="middle" align="left">HR</th>
<th valign="middle" align="left">95% <italic>CI</italic>
</th>
<th valign="middle" colspan="2" align="left">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Sex, Female</td>
<td valign="middle" align="left">1.216</td>
<td valign="middle" align="left">0.759,1.946</td>
<td valign="middle" align="left">0.416</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age&#x2265;60, (years)</td>
<td valign="middle" align="left">0.663</td>
<td valign="middle" align="left">0.476,0.924</td>
<td valign="middle" align="left">0.015</td>
<td valign="middle" align="left">0.665</td>
<td valign="middle" colspan="2" align="left">0.492,0.901</td>
<td valign="middle" align="left">0.008<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Surgical resection</td>
<td valign="middle" align="left">1.079</td>
<td valign="middle" align="left">0.753,1.546</td>
<td valign="middle" align="left">0.678</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TKIs (<italic>vs</italic> Lenvatinib)</td>
<td valign="middle" align="left">
</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Sorafenib</td>
<td valign="middle" align="left">0.537</td>
<td valign="middle" align="left">0.220,1.307</td>
<td valign="middle" align="left">0.171</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Regorafenib</td>
<td valign="middle" align="left">0.501</td>
<td valign="middle" align="left">0.164,1.525</td>
<td valign="middle" align="left">0.223</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Apatinib</td>
<td valign="middle" align="left">0.511</td>
<td valign="middle" align="left">0.210,1.242</td>
<td valign="middle" align="left">0.138</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Donafenib</td>
<td valign="middle" align="left">0.694</td>
<td valign="middle" align="left">0.164,2.941</td>
<td valign="middle" align="left">0.620</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TACE</td>
<td valign="middle" align="left">0.426</td>
<td valign="middle" align="left">0.300,0.605</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.449</td>
<td valign="middle" colspan="2" align="left">0.326,0.617</td>
<td valign="middle" align="left">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Etiology</td>
<td valign="middle" align="left">1.526</td>
<td valign="middle" align="left">0.969,2.403</td>
<td valign="middle" align="left">0.068</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Extrahepatic spread</td>
<td valign="middle" align="left">2.641</td>
<td valign="middle" align="left">1.537,4.536</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">2.114</td>
<td valign="middle" colspan="2" align="left">1.550,2.884</td>
<td valign="middle" align="left">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor diameter&#x2265;5cm</td>
<td valign="middle" align="left">1.081</td>
<td valign="middle" align="left">0.766,1.527</td>
<td valign="middle" align="left">0.657</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor number&#x2265;3</td>
<td valign="middle" align="left">0.995</td>
<td valign="middle" align="left">0.699,1.418</td>
<td valign="middle" align="left">0.980</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Portal vein tumor thrombus</td>
<td valign="middle" align="left">1.818</td>
<td valign="middle" align="left">1.124,2.940</td>
<td valign="middle" align="left">0.015</td>
<td valign="middle" align="left">1.480</td>
<td valign="middle" colspan="2" align="left">1.083,2.023</td>
<td valign="middle" align="left">0.014<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Child-Pugh class C</td>
<td valign="middle" align="left">1.057</td>
<td valign="middle" align="left">0.721,1.551</td>
<td valign="middle" align="left">0.776</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">BCLC stage C</td>
<td valign="middle" align="left">1.363</td>
<td valign="middle" align="left">0.695,2.675</td>
<td valign="middle" align="left">0.367</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">MELD score&#x2265;18</td>
<td valign="middle" align="left">0.853</td>
<td valign="middle" align="left">0.546,1.332</td>
<td valign="middle" align="left">0.485</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">AFP &#x2265;400(ng/ml)</td>
<td valign="middle" align="left">2.365</td>
<td valign="middle" align="left">1.704,3.282</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">2.317</td>
<td valign="middle" colspan="2" align="left">1.679,3.198</td>
<td valign="middle" align="left">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Platelet&#x2265;100(10^9/L)</td>
<td valign="middle" align="left">0.896</td>
<td valign="middle" align="left">0.724,1.109</td>
<td valign="middle" align="left">0.314</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">PT(sec)</td>
<td valign="middle" align="left">6.100</td>
<td valign="middle" align="left">0.486,76.612</td>
<td valign="middle" align="left">0.161</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">INR</td>
<td valign="middle" align="left">1.001</td>
<td valign="middle" align="left">0.969,1.034</td>
<td valign="middle" align="left">0.953</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Albumin(g/l)</td>
<td valign="middle" align="left">2.031</td>
<td valign="middle" align="left">0.860,4.798</td>
<td valign="middle" align="left">0.106</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Serum creatinine(mg/dL)</td>
<td valign="middle" align="left">1.002</td>
<td valign="middle" align="left">1.001,1.003</td>
<td valign="middle" align="left">0.001</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">GGT(U/L)</td>
<td valign="middle" align="left">1.000</td>
<td valign="middle" align="left">1.000,1.000</td>
<td valign="middle" align="left">0.156</td>
<td valign="middle" align="left">1.002</td>
<td valign="middle" colspan="2" align="left">1.001,1.002</td>
<td valign="middle" align="left">&lt;0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Cholinesterase(U/L)</td>
<td valign="middle" align="left">0.886</td>
<td valign="middle" align="left">0.694,1.131</td>
<td valign="middle" align="left">0.332</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Total bilirubin(mg/dl)</td>
<td valign="middle" align="left">1.007</td>
<td valign="middle" align="left">0.999,1.016</td>
<td valign="middle" align="left">0.096</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin(g/l)</td>
<td valign="middle" align="left">0.755</td>
<td valign="middle" align="left">0.530,1.075</td>
<td valign="middle" align="left">0.119</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lymphocyte count(10^9/L)</td>
<td valign="middle" align="left">0.962</td>
<td valign="middle" align="left">0.745,1.241</td>
<td valign="middle" align="left">0.765</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="3" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate analysis of factors associated with overall survival in CTG.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="3" align="left">Univariate analysis</th>
<th valign="middle" colspan="4" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">HR</th>
<th valign="middle" align="left">95% <italic>CI</italic>
</th>
<th valign="middle" align="left">
<italic>P</italic>-value</th>
<th valign="middle" align="left">HR</th>
<th valign="middle" colspan="2" align="left">95% <italic>CI</italic>
</th>
<th valign="middle" align="left">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Sex, Female</td>
<td valign="middle" align="left">0.973</td>
<td valign="middle" align="left">0.557,1.700</td>
<td valign="middle" align="left">0.924</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age&#x2265;60, (years)</td>
<td valign="middle" align="left">0.558</td>
<td valign="middle" align="left">0.355,.877</td>
<td valign="middle" align="left">0.011</td>
<td valign="middle" align="left">0.593</td>
<td valign="middle" colspan="2" align="left">0.397,0.886</td>
<td valign="middle" align="left">0.011<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Surgical resection</td>
<td valign="middle" align="left">1.081</td>
<td valign="middle" align="left">0.638,1.833</td>
<td valign="middle" align="left">0.771</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TKIs (<italic>vs</italic> Lenvatinib)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.806</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Sorafenib</td>
<td valign="middle" align="left">0.867</td>
<td valign="middle" align="left">0.328,2.290</td>
<td valign="middle" align="left">0.773</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Regorafenib</td>
<td valign="middle" align="left">1.262</td>
<td valign="middle" align="left">0.746,2.134</td>
<td valign="middle" align="left">0.386</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Apatinib</td>
<td valign="middle" align="left">1.633</td>
<td valign="middle" align="left">0.483,5.522</td>
<td valign="middle" align="left">0.430</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Donafenib</td>
<td valign="middle" align="left">1.445</td>
<td valign="middle" align="left">0.441,4.737</td>
<td valign="middle" align="left">0.543</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Etiology</td>
<td valign="middle" align="left">1.109</td>
<td valign="middle" align="left">0.584,2.107</td>
<td valign="middle" align="left">0.752</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Extrahepatic spread</td>
<td valign="middle" align="left">2.804</td>
<td valign="middle" align="left">1.241,6.337</td>
<td valign="middle" align="left">0.013</td>
<td valign="middle" align="left">1.730</td>
<td valign="middle" colspan="2" align="left">1.141,2.624</td>
<td valign="middle" align="left">0.010<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor diameter&#x2265;5cm</td>
<td valign="middle" align="left">1.547</td>
<td valign="middle" align="left">0.929,2.578</td>
<td valign="middle" align="left">0.094</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor number&#x2265;3</td>
<td valign="middle" align="left">1.120</td>
<td valign="middle" align="left">0.669,1.877</td>
<td valign="middle" align="left">0.666</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Portal vein tumor thrombus</td>
<td valign="middle" align="left">2.108</td>
<td valign="middle" align="left">0.981,4.530</td>
<td valign="middle" align="left">0.056</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="2" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Child-Pugh class C</td>
<td valign="middle" align="left">0.892</td>
<td valign="middle" align="left">0.538,1.480</td>
<td valign="middle" align="left">0.658</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">BCLC stage C</td>
<td valign="middle" align="left">0.443</td>
<td valign="middle" align="left">0.167,1.176</td>
<td valign="middle" align="left">0.102</td>
<td valign="middle" align="left"/>
<td valign="middle" colspan="2" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">MELD score&#x2265;18</td>
<td valign="middle" align="left">1.076</td>
<td valign="middle" align="left">0.576,2.009</td>
<td valign="middle" align="left">0.819</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">AFP &#x2265;400(ng/ml)</td>
<td valign="middle" align="left">2.077</td>
<td valign="middle" align="left">1.340,3.218</td>
<td valign="middle" align="left">0.001</td>
<td valign="middle" align="left">2.027</td>
<td valign="middle" colspan="2" align="left">1.340,3.068</td>
<td valign="middle" align="left">0.001<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Platelet&#x2265;100(10^9/L)</td>
<td valign="middle" align="left">0.957</td>
<td valign="middle" align="left">0.700,1.308</td>
<td valign="middle" align="left">0.782</td>
<td valign="middle" align="left">0.621</td>
<td valign="middle" align="left">0.409,0.942</td>
<td valign="middle" align="left">0.025</td>
<td valign="middle" align="left">0.621</td>
</tr>
<tr>
<td valign="middle" align="left">PT(sec)</td>
<td valign="middle" align="left">4.249</td>
<td valign="middle" align="left">0.134,134.792</td>
<td valign="middle" align="left">0.412</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">INR</td>
<td valign="middle" align="left">1.015</td>
<td valign="middle" align="left">0.977,1.055</td>
<td valign="middle" align="left">0.443</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Albumin(g/l)</td>
<td valign="middle" align="left">1.160</td>
<td valign="middle" align="left">0.329,4.088</td>
<td valign="middle" align="left">0.818</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Serum creatinine(mg/dL)</td>
<td valign="middle" align="left">1.002</td>
<td valign="middle" align="left">1.000,1.003</td>
<td valign="middle" align="left">0.134</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">GGT(U/L)</td>
<td valign="middle" align="left">1.000</td>
<td valign="middle" align="left">1.000,1.000</td>
<td valign="middle" align="left">0.314</td>
<td valign="middle" align="left">1.001</td>
<td valign="middle" colspan="2" align="left">1.000,1.002</td>
<td valign="middle" align="left">0.037<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Cholinesterase(U/L)</td>
<td valign="middle" align="left">0.851</td>
<td valign="middle" align="left">0.599,1.209</td>
<td valign="middle" align="left">0.367</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Total bilirubin(mg/dl)</td>
<td valign="middle" align="left">1.005</td>
<td valign="middle" align="left">0.993,1.018</td>
<td valign="middle" align="left">0.405</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin(g/l)</td>
<td valign="middle" align="left">0.634</td>
<td valign="middle" align="left">0.388,1.037</td>
<td valign="middle" align="left">0.070</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Lymphocyte count(10^9/L)</td>
<td valign="middle" align="left">0.890</td>
<td valign="middle" align="left">0.632,1.254</td>
<td valign="middle" align="left">0.505</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CTG, combination therapy group; TKIs, tyrosine kinase inhibitors; BCLC, barcelona clinic liver cancer; MELD, Model for end-stage liver disease; AFP, alpha-fetoprotein; PT, prothrombin time; INR, international normalized ratio; GGT, gamma-glutamyl transferase. <sup>*</sup>A P-value &lt;0.05 was considered to indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_4">
<title>Safety profile</title>
<p>Safety analysis showed significantly higher rates of all-cause adverse events in the combination therapy group compared to systemic therapy alone (79.6% <italic>vs</italic>. 67.0%, p=0.021), with notably increased grade &#x2265;3 events (23.5% <italic>vs</italic>. 14.1%, p=0.038). The combination group experienced predominantly liver-related toxicities, hematological abnormalities, and TACE-specific complications including post-embolization syndrome. Treatment discontinuation rates were comparable for tislelizumab (10.2% <italic>vs</italic>. 6.5%, p=0.285) and TKIs (32.7% <italic>vs</italic>. 27.0%, p=0.347). Summary of details are shown in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. TACE-related AEs occurred in 46.5% of CTG patients, with Grade 3 events in 8.7% and one Grade 4 event (0.5%). Tislelizumab-related AEs were reported in 28.7% of CTG and 40.8% of STG patients, with Grade 3 events in 9.7% and 15.3%, respectively. TKI-related AEs occurred in 33.5% of CTG and 42.9% of STG patients, with Grade 3 events in 6.5% and 10.2%, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). In the STG, the most common any-grade AEs were fatigue (45.9%), pyrexia (40.8%), increased AST (35.7%), and increased ALT (32.7%). Grade 3 AEs were observed in 23.5% of patients, with no Grade 4 or 5 events (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). In the CTG, the most frequent any-grade AEs were increased AST (40.5%), increased ALT (37.8%), fatigue (37.8%), and abdominal pain (36.8%). Grade 3 AEs occurred in 14.1% of patients, with one Grade 4 abdominal pain event (0.5%). No Grade 5 events were reported in either group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Adverse events from all cause.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="left">CTG(n=185)</th>
<th valign="middle" align="left">STG(n=98)</th>
<th valign="middle" align="left">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Patients with an adverse event from all cause</td>
<td valign="middle" align="left">124 (67.0%)</td>
<td valign="middle" align="left">78 (79.6%)</td>
<td valign="middle" align="left">0.021<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Grade &lt;3 event</td>
<td valign="middle" align="left">98 (53.0%)</td>
<td valign="middle" align="left">55 (56.1%)</td>
<td valign="middle" align="left">0.621</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Grade &#x2265;3 event</td>
<td valign="middle" align="left">26 (14.1%)</td>
<td valign="middle" align="left">23 (23.5%)</td>
<td valign="middle" align="left">0.038<sup>*</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">Discontinuation of tislelizumab therapy</td>
<td valign="middle" align="left">18 (9.7%)</td>
<td valign="middle" align="left">15 (15.3%)</td>
<td valign="middle" align="left">0.158</td>
</tr>
<tr>
<td valign="middle" align="left">Discontinuation of TKIs therapy</td>
<td valign="middle" align="left">12 (6.5%)</td>
<td valign="middle" align="left">10 (10.2%)</td>
<td valign="middle" align="left">0.285</td>
</tr>
<tr>
<td valign="middle" align="left">Dose interruption of tislelizumab therapy</td>
<td valign="middle" align="left">35 (18.9%)</td>
<td valign="middle" align="left">25 (25.5%)</td>
<td valign="middle" align="left">0.194</td>
</tr>
<tr>
<td valign="middle" align="left">Dose reduction or interruption of TKIs therapy</td>
<td valign="middle" align="left">50 (27.0%)</td>
<td valign="middle" align="left">32 (32.7%)</td>
<td valign="middle" align="left">0.347</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CTG, combination therapy group; STG, systemic therapy group; TKIs, tyrosine kinase inhibitors. <sup>*</sup>A P-value &lt;0.05 was considered to indicate statistical significance.</p>
</fn>
<fn>
<p>CTG, combination therapy group; STG, systemic therapy group; TKIs, tyrosine kinase inhibitors; TACE, transarterial chemoembolization; BCLC, barcelona clinic liver cancer; MELD, Model for end-stage liver disease; AFP, alpha-fetoprotein; PT, prothrombin time; INR, international normalized ratio; GGT, gamma-glutamyl transferase. <sup>*</sup>A P-value &lt;0.05 was considered to indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<title>Discussion</title>
<p>First-line immune checkpoint inhibitors plus anti-angiogenic therapy achieve suboptimal objective response rates in unresectable intermediate-advanced HCC, the third leading cause of global cancer deaths, limited by high tumor heterogeneity, an immunosuppressive microenvironment, and hepatic dysfunction (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). This study retrospectively analyzed patients with unresectable HCC receiving either triple therapy, tislelizumab combined with TKIs and TACE, or dual-agent systemic treatment, demonstrating the triple regimen significantly extends median OS and reduces mortality risk. Through multivariate adjustment and subgroup analysis, we not only validated the survival advantage of this combination but also identified key beneficiary characteristics. This study will focus the discussion on the scientific value of these findings in regulating the tumor immune microenvironment and balancing treatment toxicity, as well as their potential to drive clinical practice transformation.</p>
<p>The magnitude of the survival benefit observed in our study is consistent with that reported in recent landmark Phase III trials evaluating combination therapies for advanced HCC. Similarly, the TALENTTACE trial (NCT04712643), which investigated atezolizumab + bevacizumab plus TACE versus TACE alone, reported a promising HR of 0.71 for PFS. Our PFS HR of 0.59 also falls within this range of high efficacy, further underscoring the robust treatment effect of the combination therapy with tislelizumab, TKIs, and TACE. Interestingly, the ORIENT-32 trial demonstrated a significant improvement in OS with sintilimab plus a bevacizumab biosimilar compared to sorafenib (median OS: not reached <italic>vs</italic>. 10.4 months; HR 0.57) in a Chinese population with predominantly HBV-related HCC (<xref ref-type="bibr" rid="B25">25</xref>). Our results are consistent with those of the LEAP-002 trial, which tested lenvatinib plus pembrolizumab versus lenvatinib alone and did not meet its dual primary endpoints of statistically significant improvement in both OS and PFS (<xref ref-type="bibr" rid="B26">26</xref>). These results suggest that certain combination therapy regimens may provide significant survival benefits in advanced HCC, although their efficacy may vary across different therapeutic combinations and patient populations.</p>
<p>The findings of this real-world study deliver three key advances in HCC treatment. First, it establishes the large-scale clinical evaluation of the PD-1 inhibitor tislelizumab in combination with TKIs and TACE. While previous pivotal trials, such as IMbrave150, validated the efficacy of the atezolizumab-bevacizumab dual regimen (<xref ref-type="bibr" rid="B27">27</xref>), our findings demonstrate that this triple combination significantly prolongs median OS, with an improvement substantially surpassing outcomes reported in the existing literature. Second, we identify GGT as an independent prognostic biomarker, enabling more precise patient selection. Finally, this work provides clinical confirmation of the synergistic mechanism between TACE-induced immunogenic cell death and PD-1 inhibition, thereby validating the hypothesis proposed (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>The findings hold significant clinical implications. For BCLC stage B/C patients, the triple regimen reduces mortality risk by 42% in those without extrahepatic metastases, suggesting it should be the preferred treatment for this subgroup. Given the marked benefit in patients with AFP &lt;400 ng/mL, we recommend incorporating AFP as a mandatory decision-making biomarker (<xref ref-type="bibr" rid="B30">30</xref>). Although grade 3 or higher adverse events occurred in 23.5% of patients, standardized dose adjustment maintained stable discontinuation rates, proving clinical feasibility. The incidence of adverse outcomes was similar to that reported in previous studies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B31">31</xref>). This apparent paradox, where patients with a better inherent prognosis gain the most from intensive therapy, likely stems from differences in underlying disease biology and tolerance. Patients with high tumor burden, including extrahepatic spread and PVTT, often have aggressive disease and may lack the physiological reserve to tolerate or respond robustly to multimodal therapy (<xref ref-type="bibr" rid="B26">26</xref>). This limits the absolute survival benefit even from potent regimens like CTG. Conversely, patients with more favorable characteristics, such as liver confined disease or low AFP levels, possess a longer life expectancy (<xref ref-type="bibr" rid="B32">32</xref>). The added efficacy of CTG thus acts on a less advanced disease state, amplifying absolute survival gain by profoundly delaying progression. This serves as an example of oncology&#x2019;s window of opportunity. Notably, older age, specifically being sixty years or older, was associated with significant CTG benefit, possibly reflecting less aggressive tumor biology or better tolerance. These insights emphasize that CTG is best suited for patients with significant yet non catastrophic disease burden, in whom therapy is most likely to translate into meaningful survival extension. Further studies should validate these interactions and improve patient selection strategies. These results provide high-level evidence for updating.</p>
<p>Several limitations must be acknowledged. First, the retrospective design may introduce selection bias. While multivariate analysis adjusted for known confounders, unmeasured variables cannot be entirely excluded. As a non-randomized study, the attribution of causality is limited by potential unmeasured confounders, despite our use of PSM to balance measurable baseline characteristics. Second, single-center data may be influenced by regional hepatitis epidemiology, necessitating multicenter validation. Variability in TACE technical parameters could affect efficacy consistency. Third, the 28.6-month median follow-up is insufficient to assess long-term immunotherapy toxicity, particularly delayed autoimmune effects of PD-1 inhibitors. Future phase III RCTs should incorporate biomarkers like PD-L1 expression and extend follow-up beyond five years for a comprehensive risk-benefit evaluation.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<title>Conclusion</title>
<p>In conclusion, combining TACE with tislelizumab-TKIs significantly improves survival over systemic therapy alone in unresectable HCC, with maximal benefit observed in patients aged &#x2265;60 years, without extrahepatic spread, with AFP &lt;400 ng/mL, or normal GGT, despite increased manageable toxicity.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>This retrospective study was performed by the Declaration of Helsinki of the World Medical Association. It was waived by the Ethics Committee of The Affiliated Hospital of Qingdao University (QYFY WZLL 30225), and the informed consent of patients was waived because of its retrospective study. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>FW: Data curation, Formal Analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ZC: Formal Analysis, Methodology, Writing &#x2013; review &amp; editing. CY: Investigation, Project administration, Writing &#x2013; review &amp; editing. JL: Methodology, Supervision, Writing &#x2013; review &amp; editing. QL: Software, Validation, Writing &#x2013; review &amp; editing. SC: Formal Analysis, Validation, Writing &#x2013; review &amp; editing. SZ: Data curation, Writing &#x2013; review &amp; editing. SW: Conceptualization, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s10" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank the patients enrolled in this study.</p>
</ack>
<sec id="s11" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s13" 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="s14" 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.2025.1664519/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1664519/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
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