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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1644027</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Stereotactic body radiotherapy plus lenvatinib and sintilimab with and without transarterial embolization for advanced hepatocellular carcinoma with portal vein tumor thrombus: a dual-center, propensity score-matched retrospective analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Jia</surname><given-names>Jun</given-names></name>
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<contrib contrib-type="author">
<name><surname>Ning</surname><given-names>Cong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Quan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Jing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Xinmu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhu</surname><given-names>Taifeng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Duo</given-names></name>
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<name><surname>Zhao</surname><given-names>Haitao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Duan</surname><given-names>Xuezhang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Radiotherapy, Senior Department of Oncology, Chinese PLA General Hospital, Chinese PLA Medical School</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Liver Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS &amp; PUMC)</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Clinical Nutrition &amp; Health Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences &amp; Peking Union Medical College (CAMS &amp; PUMC)</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xuezhang Duan, <email xlink:href="mailto:duanxuezhang2006@163.com">duanxuezhang2006@163.com</email>; Haitao Zhao, <email xlink:href="mailto:zhaoht@pumch.cn">zhaoht@pumch.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04">
<day>04</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1644027</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Jia, Ning, Wang, Sun, Zhang, Zhu, Li, Zhao and Duan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jia, Ning, Wang, Sun, Zhang, Zhu, Li, Zhao and Duan</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Portal vein tumor thrombus (PVTT) in hepatocellular carcinoma (HCC) is associated with poor prognosis and limited efficacy of current first-line therapies. Combining locoregional and systemic therapies may enhance antitumor immunity. However, the safety and efficacy of dual locoregional therapy (LRT) with stereotactic body radiotherapy (SBRT) and transarterial embolization (TAE) along with targeted immunotherapy is unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this retrospective real-world study, we analyzed 204 patients with Barcelona Clinic Liver Cancer stage C HCC and PVTT treated with SBRT plus lenvatinib and sintilimab, with or without TAE, between June 2018 and December 2022. Propensity score matching (PSM) was performed to balance baseline characteristics. The primary endpoints were progression-free survival (PFS) and overall survival (OS), and the secondary endpoints included local control (LC) and safety.</p>
</sec>
<sec>
<title>Results</title>
<p>After PSM (64 patients per group), the TAE group showed significantly longer median PFS (11.0 vs. 6.0 months; HR&#xa0;=&#xa0;0.71, p=0.044) and a trend toward improved LC than the non-TAE group (51.0 vs. 36.0 months; HR&#xa0;=&#xa0;0.54, p=0.066), but comparable OS (19.0 vs. 18.0 months; p=0.606). Multivariate analysis confirmed TAE as an independent predictor of reduced risk of progression (HR&#xa0;=&#xa0;0.52, 95% CI: 0.36&#x2013;0.76). Objective response rates (40.6% vs. 39.1%, p=0.861) and grade &#x2265;3 treatment-related adverse events (50.0% vs. 50.0%, p=0.854) were similar between groups. TAE did not increase hematologic or hepatic toxicity, supporting its tolerability.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Adding TAE to SBRT, lenvatinib, and sintilimab prolonged the median PFS in patients with advanced HCC and PVTT, showing comparable safety. This real-world study supports dual LRT combined with targeted immunotherapy as a feasible treatment option and merits prospective validation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>immunotherapy</kwd>
<kwd>locoregional therapy</kwd>
<kwd>stereotactic body radiotherapy</kwd>
<kwd>transarterial embolization</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="10"/>
<word-count count="4845"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Portal vein tumor thrombus (PVTT), a common complication of hepatocellular carcinoma (HCC), has an incidence of 44.0&#x2013;66.2%, suggesting a poor prognosis (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Given PVTT&#x2019;s association with portal hypertension, liver dysfunction, and tumor invasion, previous studies have shown that first-line treatment for advanced HCC (i.e., atezolizumab plus bevacizumab) has a 23% objective response rate (ORR) and median overall survival (OS) of 7.6 months for a subgroup of patients with HCC with PVTT (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Consequently, new strategies are needed to improve the efficacy of targeted immunotherapies.</p>
<p>Commonly used locoregional therapies (LRT), including radiotherapy or intra-arterial therapy, directly kill tumor cells and release an abundance of tumor antigens that could effectively elicit systemic antitumor immune responses (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). However, the efficacy of this antigen release is frequently constrained by the pre-existing immunosuppressive tumor microenvironment (TME) (<xref ref-type="bibr" rid="B9">9</xref>). In this context, sintilimab, a PD-1 inhibitor, acts to block the PD-1/PD-L1 checkpoint, thereby reversing T-cell exhaustion and potentiating their anti-tumor cytotoxicity (<xref ref-type="bibr" rid="B10">10</xref>). Meanwhile, the multi-kinase inhibitor lenvatinib contributes by normalizing the aberrant tumor vasculature, a process that alleviates hypoxia and can remodel the immunosuppressive TME, thereby facilitating enhanced infiltration and function of immune effector cells (<xref ref-type="bibr" rid="B11">11</xref>). This provides a strong rationale for the combined application of LRT and systemic therapy in advanced HCC (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Although combined radiotherapy and transarterial (chemo)embolization (TA(C)E) or hepatic arterial infusion chemotherapy can provide a higher tumor response and better survival benefits than monotherapy for patients with HCC showing macrovascular invasion, the increased risk of adverse events (AE) caused by dual LRT poses a safety challenge to its application (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Thus, no clinical study has been conducted on combining dual LRT and targeted immunotherapy in patients with advanced HCC. The aim of this study was to compare the efficacy and safety of stereotactic body radiotherapy (SBRT) plus lenvatinib and sintilimab with TAE versus SBRT plus lenvatinib and sintilimab triple therapy as a first-line treatment in patients with HCC with PVTT.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Patient data</title>
<p>This retrospective study was conducted using data from patients with HCC and PVTT who were administered SBRT plus lenvatinib and sintilimab, with or without TAE, at Hospital A and Hospital B between June 2018 and December 2022. This study was approved by our Institutional Review Board. The requirement for informed consent was waived owing to the retrospective nature of the study. The study inclusion criteria were as follows: (1) histologically or radiographically confirmed HCC with PVTT; (2) treatment with lenvatinib and sintilimab as the first-line systemic therapy following SBRT; (3) interval between SBRT and TAE &#x2264; 2 weeks; (4) age &#x2265;18 years; (5) Eastern Co-operative Group (ECOG) performance score 0&#x2013;1; and (6) Child&#x2013;Pugh class A or B. The exclusion criteria were as follows: (1) lenvatinib and sintilimab &#x2264;2 cycles; (2) main portal vein completely blocked by tumor thrombus; (3) extrahepatic metastases; (4) other malignancies; (5) incomplete medical information; and (6) loss to follow-up.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment</title>
<p>Four to six fiducial markers were implanted to determine the SBRT location using computed tomography (CT) simulation images (Accuray Inc., Sunnyvale, CA, USA). The planning target volume expanded the gross tumor volume (GTV) by 0.3&#x2013;0.5 cm and avoided the organs at risk (OARs). The prescribed dose was 35&#x2013;56 Gy/5&#x2013;10 fractions. For dose constraints, the volume of liver receiving high dose radiation was minimized, particularly in cases with scattered intrahepatic satellite lesions. The tolerance doses of the OARs were determined according to the American Association of Physicists in Medicine TG-101 report (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Oral lenvatinib was administered within a week of the completion of SBRT at a dose of 8 mg (bodyweight &#x2264;60 kg) or 12 mg (bodyweight &gt;60&#xa0;kg) once a day. Sintilimab (a programmed death-1 inhibitor) was administered intravenously on the first day of lenvatinib treatment at a dose of 200 mg every 3 weeks. Systemic therapy was not interrupted until disease progression, intolerable side effects, or serious AEs occurred.</p>
<p>TAE was performed according to a previously described method within 2 weeks before or after SBRT initiation (<xref ref-type="bibr" rid="B18">18</xref>) In brief, hepatic angiography was performed using a common femoral approach to locate the tumor, and 8&#x2013;10 mL of lipiodol (Guerbet Pharmaceuticals, Paris, France) was slowly injected to embolize all vessels supplying the target tumor. TAE is commonly used in the following situations: (1) lesions protruding outward or into the liver capsule; (2) intratumoral hemorrhage, and (3) intrahepatic scattered lesions not covered by the target volume. TAE was not performed in the following cases: (1) main portal vein obstruction and high tumor burden, and the possibility of combination therapy leading to the deterioration of liver function; and (2) blood supply to the tumor being poor in the arterial phase of imaging and embolization being ineffective.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Assessment</title>
<p>The first follow-up was 6&#x2013;8 weeks after SBRT, and subsequently, every 2&#x2013;3 months until death or until December 2024. The follow-up included a physical examination, laboratory tests (such as routine blood tests, liver function, and serum tumor markers), and imaging (contrast-enhanced CT or magnetic resonance imaging of the abdomen and lung CT). The primary endpoints were progression-free survival (PFS) and OS; the secondary endpoint was local control (LC). PFS was defined as the duration from the date of SBRT initiation to the date of tumor progression or death from any cause. OS was defined as the time from SBRT initiation to death from any cause or the last follow-up. LC was defined as the duration between the initial date of SBRT and the date of irradiated tumor progression. Local tumor response was assessed using the modified Response Evaluation Criteria in Solid Tumors (<xref ref-type="bibr" rid="B19">19</xref>). ORR and disease control rate (DCR) were defined as the rates of complete response (CR) + partial response (PR) and CR&#xa0;+ PR + stable disease, respectively. The tumor burden score (TBS) was calculated using the maximum diameter and number of intrahepatic tumors (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Treatment-related AEs (TRAEs) were graded according to the Common Terminology Criteria for Adverse Events (version 5.0). Additionally, patients were evaluated for radiation-induced liver disease (RILD) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Propensity score matching (PSM) analysis mitigated potential confounders and selection bias. The propensity score was estimated using a multivariate logistic regression model, and 1:1 matches between the two groups were performed using the nearest-neighbor method (caliper width=0.02). Variables included age, sex, virus infection, ECOG performance score, alpha-fetoprotein (AFP), Child&#x2013;Pugh class, TBS, and PVTT type, and GTV includes only intrahepatic main lesion was considered.</p>
<p>Mann&#x2013;Whitney&#x2013;Wilcoxon test (continuous variables) and the chi-square test or Fisher&#x2019;s exact test (discrete variables) were used to compare baseline characteristics, treatment responses, and TRAEs between the two groups. PFS, OS, and LC were analyzed using the Kaplan&#x2013;Meier method and compared using the log-rank test and Cox regression model. All data were analyzed using R (version 4.0.3, Vienna, Austria) and Statistical Package for the Social Sciences (SPSS, version 25; IBM Corp., NY, US), and a p-value &lt;0.05 indicated a statistically significant difference.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient characteristics</title>
<p>Between June 2018 and December 2022, 204 of 256 Barcelona Clinic Liver Cancer stage C patients with PVTT who were administered SBRT combined with lenvatinib and sintilimab met the inclusion criteria. Of these, 114 patients (55.9%) who underwent SBRT combined with lenvatinib, sintilimab, and TAE were assigned to the TAE group, while 90 patients (44.1%) treated with SBRT plus lenvatinib and sintilimab alone were included in the non-TAE (NTAE) group (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The median ages were 57 years (range, 30&#x2013;79 years) and 57 years (range, 30&#x2013;81 years) in the TAE and NTAE groups, respectively. Male patients accounted for 90.4% (103/114) and 80.0% (72/90) of the TAE and NTAE groups, respectively. A TBS &#x2265;8 was observed in 36.0% (41/114) and 45.6% (41/90) of patients in the TAE and NTAE groups, respectively. In the TAE group, PVTT types were classified as I (8.8% [10/114]), II (61.4% [70/114]), and III (29.8% [34/114]), and in 49.1% (56/114) of patients, the GTV was defined solely as the intrahepatic main lesion. In the NTAE group, the PVTT types included I (10.0% [9/90]), II (48.9% [44/90]), III (30.0% [27/90]), and IV (11.1% [10/90]), with 50.0% (45/90) targeting the intrahepatic main lesion alone. Of the 114 patients receiving TAE, the procedure preceded SBRT initiation in 42 (36.8%) and followed it in 72 (63.2%) patients, with all administrations adhering to the predefined 2-week peri-SBRT window. After PSM, the baseline characteristics were well-balanced between the two groups (<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>Patient flowchart. BCLC, Barcelona Clinic Liver Cancer; HCC, hepatocellular carcinoma; LC, local control; NTAE, non-transarterial embolization; OS, overall survival; PFS, progression-free survival; PVTT, portal vein tumor thrombus; SBRT, stereotactic body radiotherapy; TAE, transarterial embolization.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1644027-g001.tif">
<alt-text content-type="machine-generated">Flowchart describing patient selection and grouping for a study of 256 patients with BCLC C stage HCC and PVTT receiving SBRT plus lenvatinib and sintilimab. After exclusions for specific criteria, 114 underwent TAE and 90 did not; 64 matched pairs were analyzed for endpoints including progression-free survival, overall survival, and local control.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the study cohort.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Characteristic</th>
<th valign="middle" colspan="3" align="center">Before PSM</th>
<th valign="middle" colspan="3" align="center">After PSM</th>
</tr>
<tr>
<th valign="middle" align="center">TAE group (N=114)</th>
<th valign="middle" align="center">NTAE group (N=90)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">TAE group (N=64)</th>
<th valign="middle" align="center">NTAE group (N=64)</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Age, years (median, range)</td>
<td valign="middle" align="center">57 (30-79)</td>
<td valign="middle" align="center">57 (30-81)</td>
<td valign="middle" align="center">0.351</td>
<td valign="middle" align="center">57 (32-79)</td>
<td valign="middle" align="center">56 (30-80)</td>
<td valign="middle" align="center" style="">0.540</td>
</tr>
<tr>
<td valign="middle" align="center">Sex, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.036</bold></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.715</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">103 (90.4)</td>
<td valign="middle" align="center">72 (80.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">59 (92.2)</td>
<td valign="middle" align="center">61 (95.3)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">11 (9.6)</td>
<td valign="middle" align="center">18 (20.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (7.8)</td>
<td valign="middle" align="center">3 (4.7)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Virus infection, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.902</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.496</td>
</tr>
<tr>
<td valign="middle" align="center">Positive</td>
<td valign="middle" align="center">110 (96.5)</td>
<td valign="middle" align="center">88 (97.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">62 (96.9)</td>
<td valign="middle" align="center">64 (100.0)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Negative</td>
<td valign="middle" align="center">4 (3.5)</td>
<td valign="middle" align="center">2 (2.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">ECOG performance, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.894</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.157</td>
</tr>
<tr>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">102 (89.5)</td>
<td valign="middle" align="center">80 (88.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">54 (88.5)</td>
<td valign="middle" align="center">60 (93.8)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">12 (10.5)</td>
<td valign="middle" align="center">10 (11.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">AFP, ng/mL, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.159</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.596</td>
</tr>
<tr>
<td valign="middle" align="center">&lt;400</td>
<td valign="middle" align="center">52 (45.6)</td>
<td valign="middle" align="center">50 (55.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">31 (48.4)</td>
<td valign="middle" align="center">34 (53.1)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;400</td>
<td valign="middle" align="center">62 (54.4)</td>
<td valign="middle" align="center">40 (44.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">33 (51.6)</td>
<td valign="middle" align="center">30 (46.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Child-Pugh class, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.594</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.230</td>
</tr>
<tr>
<td valign="middle" align="center">A</td>
<td valign="middle" align="center">89 (78.1)</td>
<td valign="middle" align="center">73 (81.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">44 (68.8)</td>
<td valign="middle" align="center">50 (78.1)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">B</td>
<td valign="middle" align="center">25 (21.9)</td>
<td valign="middle" align="center">17 (18.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">20 (31.2)</td>
<td valign="middle" align="center">14 (21.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">TBS, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.165</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.722</td>
</tr>
<tr>
<td valign="middle" align="center">&lt;8</td>
<td valign="middle" align="center">73 (64.0)</td>
<td valign="middle" align="center">49 (54.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">35 (54.7)</td>
<td valign="middle" align="center">37 (57.8)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">41 (36.0)</td>
<td valign="middle" align="center">41 (45.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">29 (45.3)</td>
<td valign="middle" align="center">27 (42.2)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Tumor size, cm, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.264</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.717</td>
</tr>
<tr>
<td valign="middle" align="center">&lt;8</td>
<td valign="middle" align="center">77 (67.5)</td>
<td valign="middle" align="center">54 (60.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">38 (59.4)</td>
<td valign="middle" align="center">40 (62.5)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;8</td>
<td valign="middle" align="center">37 (32.5)</td>
<td valign="middle" align="center">36 (40.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">26 (40.6)</td>
<td valign="middle" align="center">24 (37.5)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Tumor number, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.818</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.824</td>
</tr>
<tr>
<td valign="middle" align="center">&lt;3</td>
<td valign="middle" align="center">23 (20.2)</td>
<td valign="middle" align="center">17 (49.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">12 (18.8)</td>
<td valign="middle" align="center">13 (20.3)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;3</td>
<td valign="middle" align="center">91 (79.8)</td>
<td valign="middle" align="center">73 (50.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">52 (81.2)</td>
<td valign="middle" align="center">51 (79.7)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">PVTT type, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"><bold>0.001</bold></td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.078</td>
</tr>
<tr>
<td valign="middle" align="center">I</td>
<td valign="middle" align="center">10 (8.8)</td>
<td valign="middle" align="center">9 (10.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (7.8)</td>
<td valign="middle" align="center">5 (7.8)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">II</td>
<td valign="middle" align="center">70 (61.4)</td>
<td valign="middle" align="center">44 (48.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">38 (59.4)</td>
<td valign="middle" align="center">31 (48.4)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">III</td>
<td valign="middle" align="center">34 (29.8)</td>
<td valign="middle" align="center">27 (30.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">21 (32.8)</td>
<td valign="middle" align="center">22 (34.4)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">IV</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">10 (11.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">6 (9.4)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">GTV includes only intrahepatic main lesions #, n (%)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.901</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Absent</td>
<td valign="middle" align="center">58 (50.9)</td>
<td valign="middle" align="center">45 (50.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">30 (46.9)</td>
<td valign="middle" align="center">30 (46.9)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Present</td>
<td valign="middle" align="center">56 (49.1)</td>
<td valign="middle" align="center">45 (50.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">34 (53.1)</td>
<td valign="middle" align="center">34 (53.1)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>#Intrahepatic main lesions include PVTT and the adjacent parenchymal tumors.</p></fn>
<fn>
<p>AFP, alpha-fetoprotein; ECOG, Eastern Cooperative Oncology Group; GTV, gross tumor volume; NTAE, non-transarterial embolization; PSM, propensity score matching; PVTT, portal vein tumor thrombus; TAE, transarterial embolization; TBS, tumor burden score.</p></fn>
<fn>
<p>Bold indicates statistical significance.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Efficacy outcomes</title>
<p>The ORR and DCR remained consistent before and after PSM (pre-PSM vs. post-PSM: TAE group ORR, 46.5% vs. 40.6%; DCR, 83.3% vs. 79.7%; NTAE group ORR, 42.2% vs. 39.1%; DCR, 79.7% vs. 81.3%). In the post-PSM cohort, CR was achieved in 16.4% (10/64) and PR in 25.0% (16/64) of the patients in the TAE group, compared to 6.2% (4/64) CR and 32.8% (21/64) PR in the NTAE group. No significant differences were observed in the ORR (40.6% [95% CI: 28.3&#x2013;53.0%] vs. 39.1% [26.8&#x2013;51.3%], p=0.861) or DCR (79.7% [69.6&#x2013;89.8%] vs. 81.3% [71.4&#x2013;91.1%], p=0.819) between the two groups (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Therapeutic efficacy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Therapeutic response assessment</th>
<th valign="middle" colspan="3" align="center">Before PSM</th>
<th valign="middle" colspan="3" align="center">After PSM</th>
</tr>
<tr>
<th valign="middle" align="center">TAE group (N=114)</th>
<th valign="middle" align="center">NTAE group (N=90)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">TAE group (N=64)</th>
<th valign="middle" align="center">NTAE group (N=64)</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">ORR, n (%; 95% CI)</td>
<td valign="middle" align="center">53 (46.5; 37.2-55.8)</td>
<td valign="middle" align="center">38 (42.2; 31.8-52.6)</td>
<td valign="middle" align="center">0.542</td>
<td valign="middle" align="center">26 (40.6; 28.3-53.0)</td>
<td valign="middle" align="center">25 (39.1; 26.8-51.3)</td>
<td valign="middle" align="center">0.857</td>
</tr>
<tr>
<td valign="middle" align="center">CR, n (%)</td>
<td valign="middle" align="center">14 (12.3)</td>
<td valign="middle" align="center">6 (6.7)</td>
<td valign="middle" align="center">0.181</td>
<td valign="middle" align="center">10 (16.4)</td>
<td valign="middle" align="center">4 (6.2)</td>
<td valign="middle" align="center">0.157</td>
</tr>
<tr>
<td valign="middle" align="center">PR, n (%)</td>
<td valign="middle" align="center">39 (34.2)</td>
<td valign="middle" align="center">32 (35.6)</td>
<td valign="middle" align="center">0.841</td>
<td valign="middle" align="center">16 (25.0)</td>
<td valign="middle" align="center">21 (32.8)</td>
<td valign="middle" align="center">0.330</td>
</tr>
<tr>
<td valign="middle" align="center">SD, n (%)</td>
<td valign="middle" align="center">42 (36.8)</td>
<td valign="middle" align="center">39 (43.3)</td>
<td valign="middle" align="center">0.347</td>
<td valign="middle" align="center">25 (39.1)</td>
<td valign="middle" align="center">27 (42.2)</td>
<td valign="middle" align="center">0.719</td>
</tr>
<tr>
<td valign="middle" align="center">PD, n (%)</td>
<td valign="middle" align="center">19 (16.7)</td>
<td valign="middle" align="center">13 (14.4)</td>
<td valign="middle" align="center">0.665</td>
<td valign="middle" align="center">13 (20.3)</td>
<td valign="middle" align="center">12 (18.8)</td>
<td valign="middle" align="center">0.824</td>
</tr>
<tr>
<td valign="middle" align="center">DCR, n (%; 95% CI)</td>
<td valign="middle" align="center">95 (83.3; 76.4-90.3)</td>
<td valign="middle" align="center">77 (85.6; 78.2-93.0)</td>
<td valign="middle" align="center">0.665</td>
<td valign="middle" align="center">51 (79.7; 69.6-89.8)</td>
<td valign="middle" align="center">52 (81.3; 71.4-91.1)</td>
<td valign="middle" align="center" style="">0.824</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence interval; CR, complete response; DCR, disease control rate; NTAE, non-transarterial embolization; ORR, objective response rate; PD, progressive disease; PR, partial response; PSM, propensity score matching; SD, stable disease; TAE, transarterial embolization.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>At the cutoff (December 2024), the median follow-up duration was 59.0 months (95% CI: 39.8&#x2013;78.2 months; TAE group: 63.0 months [59.8&#x2013;66.2]; NTAE group: 39.0 months [34.7&#x2013;43.3]). Disease progression or death occurred in 96.9% (62/64) and 89.1% (57/64) of patients who underwent TAE and NTAE, respectively. The TAE group demonstrated a significantly longer median progression-free survival (mPFS) than the NTAE group (11.0 months [95% CI: 8.4&#x2013;13.6] vs. 6.0 months [5.0&#x2013;7.0]; hazard ratio [HR]=0.71, p=0.044), corresponding to a 29% reduction in progression risk (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2a</bold></xref>). Median overall survival (mOS) was comparable between the groups (TAE: 19.0 months [14.3&#x2013;23.7]; NTAE: 18.0 months [14.9&#x2013;21.1]; HR&#xa0;=&#xa0;0.90, p=0.606; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2b</bold></xref>). The TAE group exhibited a trend toward improved median local control (mLC) (51.0 months [25.7&#x2013;76.3] vs 36.0 months [24.1&#x2013;47.9]; HR&#xa0;=&#xa0;0.54, p=0.066; <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2c</bold></xref>). The 1-, 2-, and 3-year LC rates were 56.3%, 31.3%, and 17.2%, respectively, in the TAE group, and 48.4%, 23.4%, and 9.4%, respectively, in the NTAE group.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Survival analysis. Kaplan&#x2212;Meier curves for <bold>(A)</bold> progression-free survival, <bold>(B)</bold> overall survival, and <bold>(C)</bold> local control. LC, local control; OS, overall survival; PFS, progression-free survival; TAE, transarterial embolization.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1644027-g002.tif">
<alt-text content-type="machine-generated">Three Kaplan-Meier survival curves compare outcomes between TAE &#x201c;Absent&#x201d; (blue) and &#x201c;Present&#x201d; (red) groups: panel A shows progression-free survival (p = 0.044), panel B shows overall survival (p = 0.61), and panel C shows local control (p = 0.066), each with &#x201c;number at risk&#x201d; tables and time in months on the x-axis.</alt-text>
</graphic></fig>
<p>Multivariate analysis (MVA) identified the addition of TAE as an independent prognostic factor for prolonged PFS (HR&#xa0;=&#xa0;0.52 [95% CI: 0.36&#x2013;0.76]) and LC (HR&#xa0;=&#xa0;0.34 [0.16&#x2013;0.74]). Radiation targeting solely intrahepatic main lesions independently increased risks of disease progression (HR&#xa0;=&#xa0;1.73 [1.19&#x2013;2.52]), mortality (HR&#xa0;=&#xa0;1.62 [1.08&#x2013;2.44]), and local failure (HR&#xa0;=&#xa0;2.47 [1.13&#x2013;5.41]). AFP &#x2265;400 ng/mL was associated with worse OS (HR&#xa0;=&#xa0;1.73 [1.13&#x2013;2.64]) and LC (HR&#xa0;=&#xa0;2.33 [1.06&#x2013;5.11]) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate analysis of progression-free survival, local control, and overall survival.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="left">For matched groups (N=64)</th>
<th valign="middle" colspan="4" align="center">Progression-free survival</th>
<th valign="middle" colspan="4" align="center">Overall survival</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">UVA</th>
<th valign="middle" colspan="2" align="center">MVA</th>
<th valign="middle" colspan="2" align="center">UVA</th>
<th valign="middle" colspan="2" align="center">MVA</th>
</tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Group (NTAE vs. TAE)</td>
<td valign="middle" align="center">0.68 (0.47-0.98)</td>
<td valign="middle" align="center"><bold>0.04</bold></td>
<td valign="middle" align="center">0.52 (0.36-0.76)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">0.90 (0.61-1.33)</td>
<td valign="middle" align="center">0.592</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Sex (Female vs. Male)</td>
<td valign="middle" align="center">1.63 (0.79-3.39)</td>
<td valign="middle" align="center">0.187</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">2.08 (0.84-5.11)</td>
<td valign="middle" align="center">0.112</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Age, years (&lt;60 vs. &#x2265;60)</td>
<td valign="middle" align="center">1.22 (0.84-1.77)</td>
<td valign="middle" align="center">0.304</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">1.21 (0.81-1.81)</td>
<td valign="middle" align="center">0.344</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Child-Pugh class (A vs. B)</td>
<td valign="middle" align="center">1.38 (0.91-2.08)</td>
<td valign="middle" align="center">0.127</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">2.07 (1.35-3.19)</td>
<td valign="middle" align="center"><bold>0.001</bold></td>
<td valign="middle" align="center">1.56 (0.99-2.47)</td>
<td valign="middle" align="center">0.058</td>
</tr>
<tr>
<td valign="middle" align="left">ECOG (0 vs. 1)</td>
<td valign="middle" align="center">1.12 (0.64-1.98)</td>
<td valign="middle" align="center">0.687</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">0.98 (0.52-1.84)</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">PVTT type (I vs. II&amp;III&amp;IV)</td>
<td valign="middle" align="center">1.41 (0.71-2.80)</td>
<td valign="middle" align="center">0.322</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">1.83 (0.80-4.18)</td>
<td valign="middle" align="center">0.152</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor size, cm (&lt;8 vs. &#x2265;8)</td>
<td valign="middle" align="center">1.81 (1.23-2.66)</td>
<td valign="middle" align="center"><bold>0.002</bold></td>
<td valign="middle" align="center">1.86 (0.77-4.50)</td>
<td valign="middle" align="center">0.168</td>
<td valign="middle" align="center">1.84 (1.23-2.75)</td>
<td valign="middle" align="center"><bold>0.003</bold></td>
<td valign="middle" align="center">1.14 (0.46-2.81)</td>
<td valign="middle" align="center">0.774</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor number (&lt;3 vs. &#x2265;3)</td>
<td valign="middle" align="center">1.79 (1.12-2.87)</td>
<td valign="middle" align="center"><bold>0.015</bold></td>
<td valign="middle" align="center">0.73 (0.41-1.30)</td>
<td valign="middle" align="center">0.282</td>
<td valign="middle" align="center">3.23 (1.79-5.82)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">1.18 (0.59-2.37)</td>
<td valign="middle" align="center">0.646</td>
</tr>
<tr>
<td valign="middle" align="left">TBS (&lt;8 vs. &#x2265;8)</td>
<td valign="middle" align="center">2.00 (1.37-2.93)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">0.89 (0.37-2.15)</td>
<td valign="middle" align="center">0.795</td>
<td valign="middle" align="center">2.16 (1.45-3.23)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">1.26 (0.50-3.18)</td>
<td valign="middle" align="center">0.618</td>
</tr>
<tr>
<td valign="middle" align="left">Virus infection (Negative vs. Positive)</td>
<td valign="middle" align="center">1.13 (0.28-4.62)</td>
<td valign="middle" align="center">0.86</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">2.71 (0.38-19.46)</td>
<td valign="middle" align="center">0.322</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">AFP, ng/ml (&lt;400 vs. &#x2265;400)</td>
<td valign="middle" align="center">1.27 (0.88-1.82)</td>
<td valign="middle" align="center">0.202</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" align="center">1.50 (1.01-2.23)</td>
<td valign="middle" align="center"><bold>0.042</bold></td>
<td valign="middle" align="center">1.78 (1.15-2.78)</td>
<td valign="middle" align="center"><bold>0.011</bold></td>
</tr>
<tr>
<td valign="middle" align="left">GTV includes only intrahepatic main lesions (absent vs. present)</td>
<td valign="middle" align="center">7.94 (4.78-13.18)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">10.86 (5.92-19.93)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">8.65 (5.36-13.98)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">9.09 (5.07-16.3)</td>
<td valign="middle" align="center"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<th valign="middle" rowspan="3" align="center">For matched groups (N=64)</th>
<th valign="middle" colspan="8" align="center">Local control</th>
</tr>
<tr>
<th valign="middle" colspan="4" align="center">UVA</th>
<th valign="middle" colspan="4" align="center">MVA</th>
</tr>
<tr>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" colspan="3" align="center">P</th>
<th valign="middle" align="center">HR (95% CI)</th>
<th valign="middle" colspan="3" align="center">P</th>
</tr>
<tr>
<td valign="middle" align="left">Group (NTAE vs. TAE)</td>
<td valign="middle" align="center">0.50 (0.24-1.06)</td>
<td valign="middle" colspan="3" align="center"><bold>0.07</bold></td>
<td valign="middle" align="center">0.34 (0.16-0.74)</td>
<td valign="middle" colspan="3" align="left"><bold>0.007</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Sex (Female vs. Male)</td>
<td valign="middle" align="center">1.63 (0.47-5.58)</td>
<td valign="middle" colspan="3" align="center">0.439</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Age, years (&lt;60 vs. &#x2265;60)</td>
<td valign="middle" align="center">1.00 (0.47-2.15)</td>
<td valign="middle" colspan="3" align="center">0.998</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Child-Pugh class (A vs. B)</td>
<td valign="middle" align="center">0.34 (0.08-1.42)</td>
<td valign="middle" colspan="3" align="center">0.139</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">ECOG (0 vs. 1)</td>
<td valign="middle" align="center">0.48 (0.14-1.64)</td>
<td valign="middle" colspan="3" align="center">0.243</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">PVTT type (I vs. II&amp;III&amp;IV)</td>
<td valign="middle" align="center">2.19 (0.52-9.31)</td>
<td valign="middle" colspan="3" align="center">0.287</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor size, cm (&lt;8 vs. &#x2265;8)</td>
<td valign="middle" align="center">1.17 (0.48-2.86)</td>
<td valign="middle" colspan="3" align="center">0.728</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Tumor number (&lt;3 vs. &#x2265;3)</td>
<td valign="middle" align="center">2.11 (0.90-4.98)</td>
<td valign="middle" colspan="3" align="center"><bold>0.087</bold></td>
<td valign="middle" align="center">1.47 (0.57-3.77)</td>
<td valign="middle" colspan="3" align="left">0.421</td>
</tr>
<tr>
<td valign="middle" align="left">TBS (&lt;8 vs. &#x2265;8)</td>
<td valign="middle" align="center">1.32 (0.56-3.15)</td>
<td valign="middle" colspan="3" align="center">0.885</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">Virus infection (Negative vs. Positive)</td>
<td valign="middle" align="center">NE (0-NE)</td>
<td valign="middle" colspan="3" align="center">0.997</td>
<td valign="middle" align="center">&#xa0;</td>
<td valign="middle" colspan="3" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="middle" align="left">AFP, ng/ml (&lt;400 vs. &#x2265;400)</td>
<td valign="middle" align="center">1.83 (0.90-3.72)</td>
<td valign="middle" colspan="3" align="center"><bold>0.092</bold></td>
<td valign="middle" align="center">2.30 (1.11-4.77)</td>
<td valign="middle" colspan="3" align="left"><bold>0.025</bold></td>
</tr>
<tr>
<td valign="middle" align="left">GTV includes only intrahepatic main lesions (absent vs. present)</td>
<td valign="middle" align="center">7.88 (2.74-22.66)</td>
<td valign="middle" colspan="3" align="center"><bold>&lt;0.001</bold></td>
<td valign="middle" align="center">11.29 (3.37-37.81)</td>
<td valign="middle" colspan="3" align="left"><bold>&lt;0.001</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Any factors that were statistically significant at P &lt;10% in the univariate analysis were candidates for entry into a multivariable Cox analysis.</p></fn>
<fn>
<p>AFP, alpha-fetoprotein; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; GTV, gross tumor volume; HR, hazard ratio; MVA, multivariate analysis; NTAE, non-transarterial embolization; PVTT, portal vein tumor thrombus; RT, radiotherapy; TAE, transarterial embolization; TBS, tumor burden score; UVA, univariate analysis.</p></fn>
<fn>
<p>Bold indicates statistical significance.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Safety outcomes</title>
<p>The TRAEs are summarized in <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>. We analyzed both any grade and grade &#x2265;3 TRAEs to compare the safety of SBRT combined with lenvatinib and sintilimab with that without TAE. No treatment-related death occurred during the study period. Grade &#x2265;1 TRAEs were reported in 96.9% (124/128) patients. The most common TRAEs in the TAE group were decreased white blood cell count (46.9%), decreased lymphocyte count (34.4%), and rash (32.9%), whereas patients in the NTAE group frequently experienced rashes (48.5%), decreased lymphocyte count (42.2%), and lowered white blood cell count (39.1%). No significant differences were observed in the incidence of TRAEs of any grade or type between the two groups. Grade &#x2265;3 TRAEs occurred in 32 patients (50.0%) in the TAE and NTAE groups. The addition of TAE did not increase the overall incidence of TRAEs. RILD occurred in 12 (18.8%) and 11 patients (17.2%) in the TAE and NTAE groups, respectively.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Safety summary.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Treatment-related adverse events</th>
<th valign="middle" colspan="2" align="center">TAE group (N=64)</th>
<th valign="middle" colspan="2" align="center">NTAE group (N=64)</th>
<th valign="middle" colspan="3" align="center">P</th>
</tr>
<tr>
<th valign="middle" align="center">Any grade</th>
<th valign="middle" align="center">Grade 3-4</th>
<th valign="middle" align="center">Any grade</th>
<th valign="middle" align="center">Grade 3-4</th>
<th valign="middle" rowspan="2" align="center">Any grade</th>
<th valign="middle" rowspan="2" colspan="2" align="center">Grade 3-4</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="center">n (%)</th>
<th valign="middle" colspan="2" align="center">n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Rash</td>
<td valign="middle" align="center">20 (31.3)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">30 (46.9)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center" style="">0.070</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Constipation</td>
<td valign="middle" align="center">14 (21.9)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">14 (21.9)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">1.000</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Palmar-plantar erythrodysesthesia syndrome</td>
<td valign="middle" align="center">13 (20.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">15 (23.4)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center" style="">0.669</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Anorexia</td>
<td valign="middle" align="center">18 (28.1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">13 (20.3)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.320</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">Nausea</td>
<td valign="middle" align="center">14 (21.9)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">6 (9.4)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.051</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">Malaise</td>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">7 (10.9)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.435</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Diarrhea</td>
<td valign="middle" align="center">9 (14.1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">8 (12.5)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.795</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">Hypertension</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">8 (12.5)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.363</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Fever</td>
<td valign="middle" align="center">6 (9.4)</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">5 (7.8)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.752</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Abdominal pain</td>
<td valign="middle" align="center">3 (4.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">5 (7.8)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center" style="">0.715</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">Proteinuria</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1.000</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">White blood cell decreased</td>
<td valign="middle" align="center">26 (40.6)</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center">21 (32.8)</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center">0.359</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">Neutrophil count decreased</td>
<td valign="middle" align="center">15 (23.4)</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0.265</td>
<td valign="middle" colspan="2" align="center">0.496</td>
</tr>
<tr>
<td valign="middle" align="center">Lymphocyte count decreased</td>
<td valign="middle" align="center">9 (14.1)</td>
<td valign="middle" align="center">13 (20.3)</td>
<td valign="middle" align="center">12 (18.8)</td>
<td valign="middle" align="center">15 (23.4)</td>
<td valign="middle" align="center">0.474</td>
<td valign="middle" colspan="2" align="center">0.669</td>
</tr>
<tr>
<td valign="middle" align="center">Platelet count decreased</td>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center">3 (4.7)</td>
<td valign="middle" align="center">17 (26.6)</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center">0.129</td>
<td valign="middle" colspan="2" align="center">0.697</td>
</tr>
<tr>
<td valign="middle" align="center">Blood bilirubin increased</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (4.7)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3 (4.7)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" colspan="2" align="center">1.000</td>
</tr>
<tr>
<td valign="middle" align="center">ALT/AST increased</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">2 (3.1)</td>
<td valign="middle" align="center">4 (6.3)</td>
<td valign="middle" align="center">1.000</td>
<td valign="middle" colspan="2" align="center">0.676</td>
</tr>
<tr>
<td valign="middle" align="center">ALP increased</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1 (1.6)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">1.000</td>
<td valign="middle" colspan="2" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ALP, alkaline phosphatase; ALT, alanine aminotransferase; AST, aspartate aminotransferase; NTAE, non-transarterial embolization; TAE, transarterial embolization.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>PVTT is an independent predictor of poor prognosis in HCC, with supportive care alone resulting in a median survival of less than 6 months (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Although systemic therapies and LRT have demonstrated efficacy in patients with HCC and PVTT, an optimal therapeutic strategy remains undefined (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B26">26</xref>). This is the first clinical cohort study to compare the efficacy and safety of SBRT combined with targeted immunotherapy (lenvatinib + sintilimab), with and without TAE. Our results indicated that adding TAE significantly prolonged the mPFS (11.0 vs 6.0 months, p=0.044) and showed a trend toward improved OS and LC. These findings suggest the potential therapeutic options for patients with HCC and PVTT.</p>
<p>Previous studies reported mPFS of 4.6&#x2013;9.6 months in patients with PVTT treated with radiotherapy plus targeted immunotherapy, consistent with the outcomes observed in our NTAE group (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The addition of TAE reduced the risk of disease progression by 48%, attributable to the synergistic effects of dual LRT. The significant PFS benefit observed with the addition of TAE underscores the synergistic potential of combining dual locoregional therapy with systemic agents. This rationale for intensifying local therapy in combination with systemic regimens is corroborated by emerging real-world evidence (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Notably, a recent nationwide target trial emulation study demonstrated that in patients with advanced HCC and Vp4-type PVTT, augmenting systemic immunotherapy and targeted therapy with aggressive local interventional modalities significantly improved PFS compared to systemic treatment alone (<xref ref-type="bibr" rid="B28">28</xref>). This benefit was accompanied by a comparable pattern of first disease progression between the groups (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>), suggesting a broad delay across progression patterns rather than a shift in failure modes. However, despite the improved PFS, the mOS in the TAE group (19.0 months) did not significantly differ from that in the NTAE group (18.0 months). Subsequent therapies after the initial treatment may confound survival outcomes, leading to a lack of OS benefits from PFS improvements. In addition, preclinical evidence suggests that TAE induces an immunosuppressive microenvironment that is insufficient to maximize immune checkpoint inhibitor responses, potentially explaining the lack of OS benefit (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>A meta-analysis by Xiao-fei et&#xa0;al. demonstrated that SBRT combined with transcatheter arterial chemoembolization (TACE) improved ORR compared with TACE alone in patients with PVTT but showed no significant advantage over SBRT monotherapy (<xref ref-type="bibr" rid="B14">14</xref>). Similarly, our study found no significant improvement in ORR or DCR with dual LRT (TAE + SBRT) compared with SBRT alone (40.6% vs. 39.1%, p=0.861). This may be attributed to the vascular heterogeneity between PVTT and parenchymal tumors, as SBRT inherently targets both lesion types (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Ting-Shi et&#xa0;al. reported a trend toward improved 1- and 2-year LC rates with radiotherapy combined with TACE versus radiotherapy alone (41.5% vs. 17.1% and 24.4% vs. 9.8%, respectively; P &gt;0.05) in patients with HCC showing macrovascular invasion, aligning with the LC outcomes in our TAE group (<xref ref-type="bibr" rid="B29">29</xref>). Furthermore, MVA demonstrated that adding TAE was an independent prognostic factor for disease progression, significantly reducing the risk of disease progression and improving LC. Achieving adequate local control in large tumors is challenging due to difficulties in obtaining sufficient ablative margins and the frequent presence of microvascular invasion and peritumoral satellite lesions (<xref ref-type="bibr" rid="B30">30</xref>). This biological rationale supports a spatially complementary strategy, wherein SBRT delivers focused ablation to the main tumor volume, while TAE addresses the peripheral target volume and potential satellite lesions. Similarly, Tiziana et&#xa0;al. reviewed 40 patients with unresectable HCC treated with SBRT plus TACE or TACE alone and revealed superior 1-year LC rates in the SBRT cohort (84% vs. 23%) (<xref ref-type="bibr" rid="B31">31</xref>). These findings underscore the potential of dual LRT for intrahepatic disease control and warrant&#xa0;prospective studies to optimize LRT sequencing and combination strategies.</p>
<p>Studies on combining SBRT with lenvatinib, sintilimab, and TAE are limited, and their safety profiles remain poorly defined. The selection of TAE over TACE was primarily informed by safety considerations, aiming to avoid additive hepatotoxicity on top of the established profiles of lenvatinib and sintilimab. This safety-oriented premise was validated by the clinical outcomes: the addition of dual LRT did not significantly increase the incidence of systemic therapy-related AE, such as rash and hand-foot syndrome, compared with the NTAE group. Hematologic and hepatic toxicities were comparable between the two groups, and the incorporation of TAE did not exacerbate these toxicities. These findings suggest that SBRT combined with lenvatinib, sintilimab, and TAE is a feasible and well-tolerated treatment option for patients with advanced HCC and PVTT.</p>
<p>Given the retrospective design of our study, the timing of TAE relative to SBRT was determined by real-world clinical practice. Consequently, the potential impact of specific treatment sequencing on immunologic or clinical efficacy could not be assessed and merits future investigation. Additionally, the study period coincided with the COVID-19 pandemic, which may have introduced biases during follow-up and reexamination. Long-term follow-up for late toxicities and subsequent therapies would be valuable. Furthermore, biomarkers indicating the response and prognosis of patients with PVTT after dual LRT, such as the immune profiling and circulating tumor DNA, also need further study. Large-scale prospective studies are required to substantiate these results.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, this real-world study suggests that adding TAE to SBRT plus lenvatinib and sintilimab may significantly improve PFS in patients with HCC with PVTT without increasing severe toxicities. However, the lack of OS benefits and the retrospective design warrant further validation in larger prospective cohorts.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Fifth Medical Center of People&#x2019;s Liberation Army General Hospital and Peking Union Medical College Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because the retrospective nature of the study.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JJ: Writing &#x2013; original draft, Resources, Project administration, Data curation, Writing &#x2013; review &amp; editing. CN: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Investigation, Visualization. QW: Conceptualization, Writing &#x2013; review &amp; editing, Supervision, Formal analysis. JS: Writing &#x2013; review &amp; editing, Investigation, Writing &#x2013; original draft, Visualization. XZ: Writing &#x2013; review &amp; editing, Supervision, Validation. TZ: Writing &#x2013; review &amp; editing, Validation. DL: Writing &#x2013; review &amp; editing, Project administration. HZ: Conceptualization, Project administration, Writing &#x2013; review &amp; editing, Resources. XD: Project administration, Supervision, Writing &#x2013; original draft, Resources, Conceptualization.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s12" 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="s13" 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.2026.1644027/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1644027/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1059490">Lilia Bardoscia</ext-link>, Casa di Cura Villa Fiorita - Azienda USL Toscana Centro, Italy</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2663170">Puja Sahai</ext-link>, The Institute of Liver and Biliary Sciences (ILBS), India</p></fn>
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