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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2023.1204486</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison analysis of PD-1/PD-L1 inhibitors plus lenvatinib or gemcitabine/cisplatin as first-line treatment for patients with advanced intrahepatic cholangiocarcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Jia-Xin</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Bo</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1669774"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yu</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xi</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Li-Juan</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Nan-Ya</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1517387"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Cancer Center, The First Hospital of Jilin University</institution>, <addr-line>Changchun, Jilin</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jiang Chen, Zhejiang University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Lejia Sun, Nanjing Medical University, China; Frankie Chi Fat Ko, The University of Hong Kong, Hong Kong SAR, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Nan-Ya Wang, <email xlink:href="mailto:wangny@jlu.edu.cn">wangny@jlu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1204486</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Huang, Liu, Li, Li, Ding and Wang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Huang, Liu, Li, Li, Ding and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive primary liver cancer, with increasing incidence worldwide. Effective first-line treatments for advanced ICC patients are currently limited. Therefore, our study aimed to assess the efficacy and safety of programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitors in combination with gemcitabine/cisplatin (GC) and lenvatinib as first-line treatment in advanced ICC patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>This retrospective cohort study included 51 advanced ICC patients, among whom 25 patients were administered with PD-1/PD-L1 plus lenvatinib and 26 patients were administered with PD-1/PD-L1 plus GC. Baseline characteristics including demographic information, medical history, clinical characteristics, laboratory data, and imaging examination were collected. The primary endpoints were progression-free survival (PFS) and sixth- and ninth-month overall survival (OS) rate. Survival curve was plotted by the Kaplan&#x2013;Meier method. A Cox proportion risk model was performed to investigate independent risk factors of PFS and OS. The secondary outcomes were objective response rate (ORR), disease control rate (DCR), and adverse events.</p>
</sec>
<sec>
<title>Results</title>
<p>The median age of advanced ICC patients in our study was 58.0 (95% confidence interval [95% CI] = 48.0&#x2013;72.4) years, with 33 male and 18 female patients. Patients in the PD-1/PD-L1 inhibitors plus lenvatinib group were more likely to be in ECOG grade above 1, develop ascites, and have an elevated level of ALT. The ORR was 16.0% in the PD-1/PD-L1 inhibitors plus lenvatinib group and 23.1% in the GC group (<italic>p</italic> = 0.777). The DCR was 52.0% in the lenvatinib group and 46.2% in the GC group (<italic>p</italic> = 0.676). The combination treatment of PD-1/PD-L1 inhibitors plus lenvatinib was associated with longer PFS than the GC group; however, it was not statistically significant (lenvatinib: 9.5 months, GC: 5.1 months, <italic>p</italic> = 0.454). The sixth-month and ninth-month OS rates were 82.0% and 76.9% in the lenvatinib group and 87.4% and 71.5% in the GC group. After adjusting for confounders, multivariate Cox regression analysis showed that ECOG grade above 1 was an independent risk factor for PFS (hazard ratio [HR]&#xa0;= 3.388, 95% CI = 1.312&#x2013;8.746, <italic>p</italic> = 0.012) and OS (HR = 4.220, 95% CI = 1.131&#x2013;15.742, <italic>p</italic> = 0.032).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>PD-1/PD-L1 inhibitors in combination with lenvatinib or GC all demonstrated significant efficacy and safety as first-line treatment in patients with advanced ICC. As for patients who refuse or are intolerant to chemotherapy, PD-1/PD-L1 plus lenvatinib would be recommended.</p>
</sec>
</abstract>
<kwd-group>
<kwd>intrahepatic cholangiocarcinoma</kwd>
<kwd>PD-1/L1</kwd>
<kwd>lenvatinib</kwd>
<kwd>gemcitabine plus cisplatin</kwd>
<kwd>advanced cancer</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="12"/>
<word-count count="5163"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gastrointestinal Cancers: Hepato Pancreatic Biliary Cancers</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Intrahepatic cholangiocarcinoma (ICC), derived from intrahepatic bile duct, ranks as the second most common malignant tumor in liver (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). The incidence of ICC has been steadily increasing worldwide, from 0.1 cases per 100,000 to 0.6 per 100,000 over the past 30 years (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The most common risk factors for ICC in Jilin Province, China are chronic hepatitis B and C infections, as well as exposure to environment toxins such as aflatoxin (<xref ref-type="bibr" rid="B5">5</xref>). ICC patients are often diagnosed at an advanced stage due to non-specific symptom and high malignant aggressiveness, which makes anti-cancer treatments challenging (<xref ref-type="bibr" rid="B6">6</xref>). Notably, only 22% of ICC patients are eligible for curative surgery, owing to delayed diagnosis. The high recurrence and metastasis rates also negatively affect post-surgery survival rates (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The development of effective systemic therapies is needed for advanced ICC patients. Gemcitabine plus cisplatin (GC) is currently the standard first-line chemotherapy for advanced ICC patients worldwide. However, its efficacy is not satisfactory as expected, given that the progression-free survival (PFS) and overall survival (OS) of GC treatment are only 8.0 and 11.7 months, respectively (<xref ref-type="bibr" rid="B9">9</xref>). A meta-analysis involving seven published clinical trials also showed that gemcitabine-based regimens were associated with increased adverse events (<xref ref-type="bibr" rid="B8">8</xref>). The poor performance status of advanced ICC patients due to frequent biliary obstruction and infection may cause chemotherapy intolerance. Therefore, identifying more effective and safer anti-cancer treatments for advanced ICC patients is imperative.</p>
<p>In recent years, immunotherapy such as programmed cell death 1 (PD-1) and programmed cell death ligand (PD-L1) inhibitors has shown clinical success in treating a range of solid tumors, particularly advanced cancer patients (<xref ref-type="bibr" rid="B10">10</xref>). Many previous studies have investigated the efficacy of immunotherapy alone or in combination with other agents in ICC patients. A multicenter phase III randomized controlled clinical study reported that compared with chemotherapy in combination with placebo, biliary tract cancer patients receiving durvalumab combined with GC showed significantly improved median OS (11.5 <italic>vs</italic>. 12.8 months, p = 0.021) and PFS (5.7 <italic>vs</italic>. 7.2 months, p = 0.001) (<xref ref-type="bibr" rid="B11">11</xref>). These findings suggest a promising landscape of chemotherapy combined with immunotherapy as first-line treatment in biliary tract system tumors. Nonetheless, as mentioned previously, the poor performance status of advanced ICC patients may influence their response to chemotherapy. A standard first-line anti-cancer treatment for advanced ICC patients who refuse or are intolerant to chemotherapy is urgently required.</p>
<p>Lenvatinib is a multi-targeted inhibitor that suppresses vascular endothelial growth factor receptor (VEGFR) 1&#x2013;3, fibroblast growth factor receptor (FGFR) 1&#x2013;4, platelet-derived growth factor receptor (PDGFR)&#x3b1;, and proto-oncogenes RET and KIT (<xref ref-type="bibr" rid="B12">12</xref>). Preclinical data show that lenvatinib decreases the number of tumor-associated macrophages, thereby affecting antitumor immune responses and leading to increased efficacy of PD-L1 inhibition (<xref ref-type="bibr" rid="B13">13</xref>). In a recent study, Dr. Zhao tested the efficacy and safety of pembrolizumab plus lenvatinib as a second-line treatment for advanced biliary tract cancer (<xref ref-type="bibr" rid="B14">14</xref>). The trial showed an objective response rate (ORR) of 25% and a disease control rate (DCR) of 78.1%. Notably, no grade 5 adverse events were reported and only 59.3% of patients suffered from grade 3 treatment-related adverse events. This trial manifests the efficacy and safety of immune checkpoint inhibitors (ICIs) combined with lenvatinib. However, data on immunotherapy in combination with lenvatinib as the first-line treatments for advanced ICC patients in the real world are limited.</p>
<p>The present study aimed to compare the efficacy and safety of PD-1/PD-L1 in combination with GC regimen and lenvatinib as the first-line anti-cancer treatment in advanced ICC cancer patients, which may provide guidance in clinical practice.</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>Study population and design</title>
<p>This retrospective cohort study included ICC patients from February 2020 to September 2022 at the Oncology Center of the First Hospital of Jilin University. Data from the first admission were analyzed for patients with multiple admissions. Inclusion criteria were as follows: (a) age&#x2265;18; (b) histopathological or cytological diagnosis of advanced or unresectable ICC; (c) Eastern Cooperative Oncology Group (ECOG) grade of 0&#x2013;2; (d) experiencing PD-1/PD-L1 inhibitors combined with lenvatinib or GC treatments over 3 weeks; (e) at least one assessable lesion according to response evaluation criteria in solid tumors (RECIST 1.1); and (f) receiving at least one efficacy assessment by enhanced computer tomography (CT) or magnetic resonance imaging (MRI). Exclusion criteria were as follows: (a) a concurrence of malignant carcinoma in other systems; (b) post-surgery of organ translation; (c) serve comorbidities such as hepatitis, heart diseases, uncontrolled epilepsy, central nervous diseases, and mental disorders; (d) incomplete clinical data; and (e) loss of follow-up. A total of 51 patients were finally analyzed in our study. This study was carried out in accordance with the principles outlined in the Declaration of Helsinki and was approved by the ethics committees of the First Hospital of Jilin University.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment and dosing</title>
<p>PD-1/PD-L1 inhibitors included pembrolizumab (200 mg once every 3 weeks), sintilimab (200 mg once every 3 weeks), toripalimab (240 mg once every 3 weeks), camrelizumab (200 mg once every 2 weeks), atezolizumab (1,200 mg once every 3 weeks), and durvalumab (1,500 mg once every 3 weeks) that were administered intravenously on day 1 of the treatment cycle. The chemotherapy regimen was gemcitabine combined with cisplatin (GC regimen). Patients using the GC regimen received gemcitabine (1.0 g/m<sup>2</sup>) and cisplatin (25 mg/m<sup>2</sup>) intravenously on days 1 and 8, every 21 days for one cycle of chemotherapy. The lenvatinib group calculated the dose of oral lenvatinib use based on patient body weight: body weight &lt; 60 kg, 8 mg/day oral; &#x2265; 60 kg, 12 mg/day. Every 21 days is one cycle until disease progression, death, or intolerable toxicity. Dosage delay and adjustment were all allowed.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Collection of baseline characteristics</title>
<p>We have well-trained personnel to collect the baseline characteristics of all patients. Demographic information included age, sex, weight, and height. Medical history including hepatitis and liver cirrhosis was also collected. Pathological type, the Eastern Cooperative Oncology Group performance status (ECOG-PS), physical examination, and vital signs were applied to assess clinical characteristics. Laboratory data included blood routine, blood biochemistry, liver function tests, coagulation routine, tumor markers, and urine routine. The longest diameter of targeted lesion was measured by imaging examination. All pathologic staging was defined according to the eighth edition of the American Joint Committee on Cancer TNM staging system.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Follow-up and outcomes</title>
<p>We followed patients regularly by telephone investigation, outpatient visit, and periodical reexamination. The primary outcomes were PFS, sixth-month OS rate, and ninth-month OS rate. PFS and OS were defined as the interval from the first assessment to the date of progression and death, respectively. The secondary outcomes were objective response rate (ORR), disease control rate (DCR), and adverse events. The ORR was calculated as the sum of complete response (CR) and partial response (PR) divided by total cases. The DCR was calculated as the sum of stable disease, CR, and PR divided by total cases. Objective efficacy evaluation was performed according to response evaluation criteria in solid tumors (RECIST 1.1). The adverse reactions were evaluated according to the common terminology criteria for adverse events (CTCAE) version 5.0.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All statistical analyses were performed using SPSS 26.0. Continuous variables were expressed as median (interquartile range) and compared by Mann&#x2013;Whitney <italic>U</italic> test. Categorical variables were expressed as absolute number or percentage and compared by <italic>&#x3c7;</italic>
<sup>2</sup> test or Fisher&#x2019;s exact test. The Kaplan&#x2013;Meier method was performed to plot survival curves, with difference compared by the log-rank test. Univariate and multivariate Cox regression analyses were used to investigate independent risk factors of OS and PFS, with hazard ratios (HRs) and 95% confidence intervals (CIs). A two-tailed <italic>p</italic>-value &lt; 0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Baseline characteristics of patients</title>
<p>A total of 51 advanced ICC cancer patients were enrolled in our study, with 33 male and 18 female patients. The number of patients aged 60 and above was 23 (45.1%). There were 44 patients classified as Child&#x2013;Pugh A and 7 patients as Child&#x2013;Pugh B. Seven patients had a history of liver cirrhosis and 40 patients experienced metastasis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Twenty-five (49.0%) ICC patients had poor differentiation, 10 (19.6%) had moderate differentiation, and only 1 patient had well differentiation. Patients were classified into the PD-1/PD-L1 inhibitors combined with lenvatinib group (25 cases) and the PD-1/PD-L1 inhibitors combined with GC group (26 cases) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Demographic, clinical, and follow-up information was virtually balanced between two groups except ECOG grade, ascites, and alanine transaminase (ALT) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Seven (28.0%) patients in the lenvatinib group had an ECOG grade above 1, while all patients in the GC group had an ECOG grade of 0 to 1 (<italic>p</italic> = 0.012). The number of patients with ascites was 7 (28.0%) in the lenvatinib group, significantly higher than that of the GC group (<italic>p</italic> = 0.047). The value of ALT was 21.7 U/L (95% CI = 13.4&#x2013;27.1) in the lenvatinib group and 26.8 U/L (95% CI = 20.2-37.5) in the GC group, with the <italic>p</italic>-value of 0.017.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The number of patients with metastasis in various sites. ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin; LEN, lenvatinib.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1204486-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Flowchart of the present study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1204486-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of enrolled patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="top" align="center">Total (<italic>n</italic> = 51)</th>
<th valign="middle" align="center">ICIs+Lenvatinib<break/>(<italic>n</italic> = 25)</th>
<th valign="middle" align="left">ICIs+GC<break/>(<italic>n</italic> = 26)</th>
<th valign="middle" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age, years</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.331</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;60</td>
<td valign="top" align="left">28 (54.9%)</td>
<td valign="middle" align="left">12 (48.0%)</td>
<td valign="middle" align="left">16 (61.5%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265; 60</td>
<td valign="top" align="left">23 (45.1%)</td>
<td valign="middle" align="left">13 (52.0%)</td>
<td valign="middle" align="left">10 (38.5%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Gender</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.918</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="top" align="left">33 (64.7%)</td>
<td valign="middle" align="left">16 (64.0%)</td>
<td valign="middle" align="left">17 (65.4%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="top" align="left">18 (35.3%)</td>
<td valign="middle" align="left">9 (36.0%)</td>
<td valign="middle" align="left">9 (34.6%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">ECOG</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.012*</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;0&#x2013;1</td>
<td valign="top" align="left">44 (86.3%)</td>
<td valign="middle" align="left">18 (72.0%)</td>
<td valign="middle" align="left">26 (100.0%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2</td>
<td valign="top" align="left">7 (13.7%)</td>
<td valign="middle" align="left">7 (28.0%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Ascites</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.047*</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">8 (15.7%)</td>
<td valign="middle" align="left">7 (28.0%)</td>
<td valign="middle" align="left">1 (3.8%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">43 (84.3%)</td>
<td valign="middle" align="left">18 (72.0%)</td>
<td valign="middle" align="left">25 (96.2%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hepatic cirrhosis</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.125</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">9 (17.6%)</td>
<td valign="middle" align="left">7 (28.0%)</td>
<td valign="middle" align="left">2 (7.7%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">42 (82.4%)</td>
<td valign="middle" align="left">18 (72.0%)</td>
<td valign="middle" align="left">24 (92.3%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Metastasis</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.789</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">40 (78.4%)</td>
<td valign="middle" align="left">20 (80.0%)</td>
<td valign="middle" align="left">20 (76.9%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">11 (21.6%)</td>
<td valign="middle" align="left">5 (20.0%)</td>
<td valign="middle" align="left">6 (23.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">CA199, U/ml</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.687</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;37.00</td>
<td valign="top" align="left">13 (25.5%)</td>
<td valign="middle" align="left">7 (28.0%)</td>
<td valign="middle" align="left">6 (23.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;37.00</td>
<td valign="top" align="left">38 (74.5%)</td>
<td valign="middle" align="left">18 (72.0%)</td>
<td valign="middle" align="left">20 (76.9%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Child&#x2013;Pugh class</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.202</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;A</td>
<td valign="top" align="left">44 (86.3%)</td>
<td valign="middle" align="left">20 (80.0%)</td>
<td valign="middle" align="left">24 (92.3%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;B</td>
<td valign="top" align="left">7 (13.7%)</td>
<td valign="middle" align="left">5 (20.0%)</td>
<td valign="middle" align="left">2 (7.7%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">ALBI score</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.811</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="top" align="left">13 (25.5%)</td>
<td valign="middle" align="left">6 (24.0%)</td>
<td valign="middle" align="left">7 (26.9%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2</td>
<td valign="top" align="left">38 (74.5%)</td>
<td valign="middle" align="left">19 (76.0%)</td>
<td valign="middle" align="left">19 (73.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">TNM stage</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.503</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="top" align="left">9 (17.6%)</td>
<td valign="middle" align="left">3 (12.0%)</td>
<td valign="middle" align="left">6 (23.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="top" align="left">42 (82.4%)</td>
<td valign="middle" align="left">22 (88.0%)</td>
<td valign="middle" align="left">20 (76.9%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tumor differentiation</td>
<td valign="top" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.505</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Well</td>
<td valign="top" align="left">1 (2.0%)</td>
<td valign="middle" align="left">1 (4.0%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Moderately</td>
<td valign="top" align="left">10 (19.6%)</td>
<td valign="middle" align="left">4 (16.0%)</td>
<td valign="middle" align="left">6 (23.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Poorly</td>
<td valign="top" align="left">25 (49.0%)</td>
<td valign="middle" align="left">11 (44.0%)</td>
<td valign="middle" align="left">14 (53.8%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="top" align="left">15 (29.4%)</td>
<td valign="middle" align="left">9 (36.0%)</td>
<td valign="middle" align="left">6 (23.1%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Longest diameter of tumor</td>
<td valign="top" align="left">5.2 (3.13&#x2013;8.03)</td>
<td valign="middle" align="left">5.1 (3.3&#x2013;8.6)</td>
<td valign="middle" align="left">6.0 (2.9&#x2013;8.0)</td>
<td valign="middle" align="left">0.950</td>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin, g/L</td>
<td valign="top" align="left">124.0 (107.0&#x2013;143.0)</td>
<td valign="top" align="left">130.0 (106.0&#x2013;143.5)</td>
<td valign="top" align="left">116.5 (106.5&#x2013;143.8)</td>
<td valign="top" align="left">0.540</td>
</tr>
<tr>
<td valign="middle" align="left">Platelet, &#xd7;g/L</td>
<td valign="top" align="left">188.0 (140.0&#x2013;231.0)</td>
<td valign="top" align="left">187.0 (117.0&#x2013;256.0)</td>
<td valign="top" align="left">192.0 (144.5&#x2013;222.8)</td>
<td valign="top" align="left">0.618</td>
</tr>
<tr>
<td valign="middle" align="left">Prothrombin time, s</td>
<td valign="top" align="left">11.9 (11.3&#x2013;12.8)</td>
<td valign="top" align="left">12.1 (11.3&#x2013;12.9)</td>
<td valign="top" align="left">11.8 (11.4&#x2013;12.7)</td>
<td valign="top" align="left">0.836</td>
</tr>
<tr>
<td valign="middle" align="left">INR</td>
<td valign="top" align="left">1.01 (0.97&#x2013;1.08)</td>
<td valign="top" align="left">1.02 (0.96&#x2013;1.10)</td>
<td valign="top" align="left">1.01 (0.97&#x2013;1.07)</td>
<td valign="top" align="left">0.618</td>
</tr>
<tr>
<td valign="middle" align="left">Tbil, &#x3bc;mol/L</td>
<td valign="top" align="left">13.1 (9.5&#x2013;17.5)</td>
<td valign="top" align="left">13.5 (8.9&#x2013;18.9)</td>
<td valign="top" align="left">12.7 (9.6&#x2013;16.8)</td>
<td valign="top" align="left">0.720</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="left">37.1 (33.5&#x2013;39.2)</td>
<td valign="top" align="left">36.2 (32.5&#x2013;39.3)</td>
<td valign="top" align="left">37.5 (34.0&#x2013;39.2)</td>
<td valign="top" align="left">0.540</td>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L</td>
<td valign="top" align="left">25.1 (16.6&#x2013;29.6)</td>
<td valign="top" align="left">21.7 (13.4&#x2013;27.1)</td>
<td valign="top" align="left">26.8 (20.2&#x2013;37.5)</td>
<td valign="top" align="left">0.017*</td>
</tr>
<tr>
<td valign="top" align="left">AST, U/L</td>
<td valign="top" align="left">29.6 (24.3&#x2013;37.0)</td>
<td valign="top" align="left">27.7 (22.6&#x2013;35.7)</td>
<td valign="top" align="left">30.5 (27.3&#x2013;44.6)</td>
<td valign="top" align="left">0.134</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin; ECOG, Eastern Cooperative Oncology Group; CA199, carbohydrate antigen 199; ALBI, albumin&#x2013;bilirubin; TNM, tumor/node/metastasis; INR, international normalized ratio; Tbil, total bilirubin; ALT, alanine transaminase; AST, aspartate transaminase.</p>
</fn>
<fn>
<p>*P value of &lt; 0.05 was considered statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Objective efficacy evaluation of tumor between two groups</title>
<p>In the group receiving PD-1/PD-L1 inhibitors in combination with lenvatinib, there was no patient experiencing CR, 4 (16.0%) patients experiencing PR, 9 (36.0%) patients experiencing SD, and 12 (48.0%) patients experiencing PD. The figure for patients receiving PD-1/PD-L1 inhibitors combined with GC was 1 (3.8%), 5 (19.2%), 6 (23.1%), and 14 (53.8%), respectively. The ORR was 16.0% in the lenvatinib group and 23.1% in the GC group (<italic>p</italic> = 0.777). The DCR was 52.0% in the lenvatinib group and 46.2% in the GC group (<italic>p</italic> = 0.676) (<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>Objective efficacy evaluation of tumor.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="top" align="center">Total<break/>(<italic>n</italic> = 51)</th>
<th valign="middle" align="center">ICIs+Lenvatinib<break/>(<italic>n</italic> = 25)</th>
<th valign="middle" align="center">ICIs+GC<break/>(<italic>n</italic> = 26)</th>
<th valign="middle" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CR, <italic>n</italic> (%)</td>
<td valign="top" align="left">1 (2.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (3.8)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">PR, <italic>n</italic> (%)</td>
<td valign="top" align="left">9 (17.6)</td>
<td valign="top" align="left">4 (16.0)</td>
<td valign="top" align="left">5 (19.2)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">SD, <italic>n</italic> (%)</td>
<td valign="top" align="left">15 (29.4)</td>
<td valign="top" align="left">9 (36.0)</td>
<td valign="top" align="left">6 (23.1)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">PD, <italic>n</italic> (%)</td>
<td valign="top" align="left">26 (51.0)</td>
<td valign="top" align="left">12 (48.0)</td>
<td valign="top" align="left">14 (53.8)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">ORR, <italic>n</italic> (%)</td>
<td valign="top" align="left">10 (19.6)</td>
<td valign="top" align="left">4 (16.0)</td>
<td valign="top" align="left">6 (23.1)</td>
<td valign="top" align="left">0.777</td>
</tr>
<tr>
<td valign="top" align="left">DCR, <italic>n</italic> (%)</td>
<td valign="top" align="left">25 (49.0)</td>
<td valign="top" align="left">13 (52.0)</td>
<td valign="top" align="left">12 (46.2)</td>
<td valign="top" align="left">0.676</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin; CR, complete response; PR, partial response; SD, stable disease; PD, progression disease; ORR, objective response rate; DCR, disease control rate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Survival analysis</title>
<p>The median follow-up was 10.2 months (95% CI = 9.7&#x2013;10.7), during which 13 death cases were recorded. The median PFS of all patients was 6.1 months (95% CI = 1.5&#x2013;10.7), while the median OS was not calculated due to short follow-up. The combination treatment of PD-1/PD-L1 inhibitors and lenvatinib was associated with longer PFS than the GC group, although it was not statistically significant (lenvatinib: 9.5 months, GC: 5.1 months, <italic>p</italic> = 0.454) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Similarly, no significant difference was observed in OS between the two groups (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The sixth-month and ninth-month OS rates were 82.0% and 76.9% in the lenvatinib group and 87.4% and 71.5% in the GC group. In univariate Cox analysis, an ECOG grade above 1 or an increased level of AST was associated with shorter PFS. An ECOG grade above 1, Child&#x2013;Pugh B, or an increased level of total bilirubin (Tbil) was associated with shorter OS. After adjusting for confounders, multivariate Cox regression analysis showed that ECOG grade above 1 was an independent risk factor for PFS (HR = 3.388, 95% CI = 1.312&#x2013;8.746, <italic>p</italic> = 0.012) and OS (HR = 4.220, 95% CI = 1.131&#x2013;15.742, <italic>p</italic> = 0.032) (<xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref> and <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan&#x2013;Meier curves for PFS in the lenvatinib group and chemotherapy group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1204486-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Kaplan&#x2013;Meier curves for OS in the lenvatinib group and chemotherapy group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1204486-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Univariate and multivariate Cox analysis associated with PFS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="center">Univariate</th>
<th valign="middle" colspan="3" align="center">Multivariate</th>
</tr>
<tr>
<th valign="middle" align="center">Hazard ratio (95% CI)</th>
<th valign="middle" align="center">
<italic>p</italic>-value</th>
<th valign="middle" colspan="2" align="center">Hazard ratio (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="6" align="left">Age, years</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;60</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;60</td>
<td valign="top" align="left">1.06 (0.49&#x2013;2.30)</td>
<td valign="top" align="center">0.885</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Gender</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="left">0.97 (0.44&#x2013;2.14)</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="top" colspan="6" align="left">ECOG</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0&#x2013;1</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="left">3.00 (1.19&#x2013;7.57)</td>
<td valign="top" align="center">0.020*</td>
<td valign="top" align="left">3.39 (1.31&#x2013;8.75)</td>
<td valign="top" colspan="2" align="left">0.012*</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Ascites</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">0.58 (0.17&#x2013;1.95)</td>
<td valign="top" align="center">0.380</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Hepatic cirrhosis</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">1.12 (0.42&#x2013;2.97)</td>
<td valign="top" align="center">0.823</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Metastasis</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">1.32 (0.53&#x2013;3.31)</td>
<td valign="top" align="center">0.552</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">CA199, U/ml</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;37.00</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;37.00</td>
<td valign="top" align="left">1.34 (0.54&#x2013;3.35)</td>
<td valign="top" align="center">0.528</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Child&#x2013;Pugh class</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;A</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;B</td>
<td valign="top" align="left">1.18 (0.41&#x2013;3.44)</td>
<td valign="top" align="center">0.761</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">ALBI score</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2</td>
<td valign="top" align="left">1.50 (0.60&#x2013;3.75)</td>
<td valign="top" align="center">0.386</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="top" align="left">1.37 (0.47&#x2013;3.99)</td>
<td valign="top" align="center">0.567</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Treatment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ICIs+GC</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ICIs+ lenvatinib</td>
<td valign="top" align="left">0.75 (0.34&#x2013;1.62)</td>
<td valign="top" align="center">0.457</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Longest diameter of tumor</td>
<td valign="top" align="left">0.98 (0.85&#x2013;1.13)</td>
<td valign="top" align="center">0.782</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin, g/L</td>
<td valign="top" align="left">1.01 (0.99&#x2013;1.03)</td>
<td valign="top" align="center">0.408</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Platelet, &#xd7;g/L</td>
<td valign="top" align="left">1.00 (1.00&#x2013;1.00)</td>
<td valign="top" align="center">0.722</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Prothrombin time, s</td>
<td valign="top" align="left">0.85 (0.61&#x2013;1.17)</td>
<td valign="top" align="center">0.319</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">INR</td>
<td valign="top" align="left">0.15 (0.00&#x2013;6.70)</td>
<td valign="top" align="center">0.323</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tbil, &#x3bc;mol/L</td>
<td valign="top" align="left">1.02 (1.00&#x2013;1.04)</td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="left">1.00 (0.92&#x2013;1.09)</td>
<td valign="top" align="center">0.980</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L</td>
<td valign="top" align="left">1.00 (0.99&#x2013;1.01)</td>
<td valign="top" align="center">0.673</td>
<td valign="top" align="left"/>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="top" align="left">AST, U/L</td>
<td valign="top" align="left">1.01 (1.00&#x2013;1.03)</td>
<td valign="top" align="center">0.095</td>
<td valign="top" align="left">1.02 (1.00&#x2013;1.03)</td>
<td valign="top" colspan="2" align="left">0.051</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Those variables found significant at P &lt; 0.1 in the univariate analyses were entered into the multivariate Cox regression analyses.</p>
</fn>
<fn>
<p>CI, confidence interval; ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin; ECOG, Eastern Cooperative Oncology Group; CA199, carbohydrate antigen 199; ALBI, albumin&#x2013;bilirubin; TNM, tumor/node/metastasis; INR, international normalized ratio; Tbil, total bilirubin; ALT, alanine transaminase; AST, aspartate transaminase.</p>
</fn>
<fn>
<p>*P value of &lt; 0.05 was considered statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate Cox analysis associated with OS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="2" align="center">Univariate</th>
<th valign="middle" colspan="2" align="center">Multivariate</th>
</tr>
<tr>
<th valign="middle" align="center">Hazard ratio (95%CI)</th>
<th valign="middle" align="center">
<italic>p</italic>-value</th>
<th valign="middle" align="center">Hazard ratio (95%CI)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Age, years</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;60</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;60</td>
<td valign="top" align="left">1.90 (0.62&#x2013;5.84)</td>
<td valign="top" align="left">0.260</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Gender</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="left">1.31 (0.40&#x2013;2.25)</td>
<td valign="top" align="left">0.659</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">ECOG</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0&#x2013;1</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="left">5.26 (1.71&#x2013;16.22)</td>
<td valign="top" align="left">0.004*</td>
<td valign="top" align="left">4.22 (1.13&#x2013;15.74)</td>
<td valign="top" align="left">0.032*</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Ascites</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">0.87 (0.19&#x2013;3.96)</td>
<td valign="top" align="left">0.859</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Hepatic cirrhosis</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">1.83 (0.50&#x2013;6.70)</td>
<td valign="top" align="left">0.359</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Metastasis</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="top" align="left">2.28 (0.50&#x2013;10.35)</td>
<td valign="top" align="left">0.287</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">CA199, U/ml</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;37.00</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;37.00</td>
<td valign="top" align="left">1.95 (0.43&#x2013;8.81)</td>
<td valign="top" align="left">0.384</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Child&#x2013;Pugh class</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;A</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;B</td>
<td valign="top" align="left">3.55 (1.08&#x2013;11.60)</td>
<td valign="top" align="left">0.036*</td>
<td valign="top" align="left">2.27 (0.41&#x2013;12.60)</td>
<td valign="top" align="left">0.347</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">ALBI score</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2</td>
<td valign="top" align="left">2.66 (0.59&#x2013;12.06)</td>
<td valign="top" align="left">0.203</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">TNM stage</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;III</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;IV</td>
<td valign="top" align="left">3.00 (0.39&#x2013;23.12)</td>
<td valign="top" align="left">0.291</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Treatment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ICIs+GC</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ICIs+ lenvatinib</td>
<td valign="top" align="left">1.31 (0.44&#x2013;3.91)</td>
<td valign="top" align="left">0.628</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Longest diameter of tumor</td>
<td valign="top" align="left">1.01 (0.82&#x2013;1.25)</td>
<td valign="top" align="left">0.909</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Hemoglobin, g/L</td>
<td valign="top" align="left">0.99 (0.96&#x2013;1.02)</td>
<td valign="top" align="left">0.471</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Platelet, &#xd7;g/L</td>
<td valign="top" align="left">1.00 (0.99&#x2013;1.00)</td>
<td valign="top" align="left">0.252</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Prothrombin time, s</td>
<td valign="top" align="left">0.80 (0.49&#x2013;1.31)</td>
<td valign="top" align="left">0.382</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">INR</td>
<td valign="top" align="left">0.20 (0.00&#x2013;44.30)</td>
<td valign="top" align="left">0.562</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Tbil, &#x3bc;mol/L</td>
<td valign="top" align="left">1.03 (1.00&#x2013;1.05)</td>
<td valign="top" align="left">0.025*</td>
<td valign="top" align="left">1.00 (0.97&#x2013;1.03)</td>
<td valign="top" align="left">0.915</td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L</td>
<td valign="top" align="left">0.93 (0.82&#x2013;1.05)</td>
<td valign="top" align="left">0.231</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">ALT, U/L</td>
<td valign="top" align="left">0.99 (0.97&#x2013;1.02)</td>
<td valign="top" align="left">0.549</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">AST, U/L</td>
<td valign="top" align="left">1.00 (0.98&#x2013;1.03)</td>
<td valign="top" align="left">0.718</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Those variables found significant at p &lt; 0.1 in the univariate analyses were entered into the multivariate Cox regression analyses.</p>
</fn>
<fn>
<p>CI, confidence interval; ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin; ECOG, Eastern Cooperative Oncology Group; CA199, carbohydrate antigen 199; ALBI, albumin&#x2013;bilirubin; TNM, tumor/node/metastasis; INR, international normalized ratio; Tbil, total bilirubin; ALT, alanine transaminase; AST, aspartate transaminase.</p>
</fn>
<fn>
<p>*P value of &lt; 0.05 was considered statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Comparison of safety between two combination treatments</title>
<p>No grade 4 adverse event and related death was recorded in both groups. There were four (16.0%) grade 3 adverse events in the lenvatinib group, namely, fatigue (<italic>n</italic> = 1), hand&#x2013;foot skin response (<italic>n</italic> = 1), appetite loss (<italic>n</italic> = 1), and dizziness (<italic>n</italic> = 1). There were four (15.4%) grade 3 adverse events in GC group, namely, fatigue (<italic>n</italic> = 1) and myelosuppression (<italic>n</italic> = 3) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). In the lenvatinib group, the adverse events were mainly gastrointestinal side effects such as decreased appetite, nausea and vomiting, constipation, and diarrhea. In the GC group, the most common chemotherapy-related adverse events were fatigue, decreased appetite, nausea and vomiting, and myelosuppression. All clinical presentations were alleviated by reducing drug dose.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Treatment-related adverse events in the present study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Adverse events<break/>n (%)</th>
<th valign="middle" colspan="2" align="center">All patients (<italic>n</italic> = 51)</th>
<th valign="middle" colspan="2" align="center">ICIs+Lenvatinib<break/>(<italic>n</italic> = 25)</th>
<th valign="middle" colspan="2" align="center">ICIs+GC<break/>(<italic>n</italic> = 26)</th>
</tr>
<tr>
<th valign="top" align="center">Grades 1&#x2013;2</th>
<th valign="top" align="center">Grade 3</th>
<th valign="middle" align="center">Grades 1&#x2013;2</th>
<th valign="top" align="center">Grade 3</th>
<th valign="middle" align="center">Grades 1&#x2013;2</th>
<th valign="top" align="center">Grade 3</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fatigue</td>
<td valign="top" align="left">16 (31.4)</td>
<td valign="top" align="left">2 (3.9)</td>
<td valign="top" align="left">7 (28.0)</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">9 (34.6)</td>
<td valign="top" align="left">1 (3.8)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">3 (5.9)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">3 (12.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Skin itching</td>
<td valign="top" align="left">9 (17.6)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">7 (28.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2 (7.7)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Skin eruption</td>
<td valign="top" align="left">6 (11.8)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">5 (20.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (3.8)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Hand&#x2013;foot skin reaction</td>
<td valign="top" align="left">2 (3.9)</td>
<td valign="top" align="left">1 (2.0)</td>
<td valign="top" align="left">2 (8.0)</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Loss of appetite</td>
<td valign="top" align="left">20 (39.2)</td>
<td valign="top" align="left">1 (2.0)</td>
<td valign="top" align="left">8 (32.0)</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">12 (46.2)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Nausea and vomiting</td>
<td valign="top" align="left">16 (31.4)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">7 (28.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">9 (34.6)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Constipation</td>
<td valign="top" align="left">8 (15.7)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">4 (16.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">4 (15.4)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhea</td>
<td valign="top" align="left">9 (17.6)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">5 (20.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">4 (15.4)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Dizzy</td>
<td valign="top" align="left">6 (11.8)</td>
<td valign="top" align="left">1 (2.0)</td>
<td valign="top" align="left">3 (12.0)</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">3 (11.5)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Myelosuppression</td>
<td valign="top" align="left">12 (23.5)</td>
<td valign="top" align="left">3 (5.9)</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">11 (42.3)</td>
<td valign="top" align="left">3 (11.5)</td>
</tr>
<tr>
<td valign="top" align="left">Transaminase elevation</td>
<td valign="top" align="left">5 (9.8)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2 (8.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">3 (11.5)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Hypothyroidism</td>
<td valign="top" align="left">3 (5.9)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2 (8.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (3.8)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Immune hepatitis</td>
<td valign="top" align="left">1 (2.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">1 (4.0)</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ICIs, immune checkpoint inhibitors; GC, gemcitabine plus cisplatin.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Owing to delayed diagnosis, ICC patients are always diagnosed at an advanced stage, inappropriate for curative surgery and with poor prognosis. Adjuvant systemic treatment will be recommended after surgery resection or in the palliative care. GC is currently accepted as the standard first-line chemotherapy for advanced ICC patients; however, its limited efficacy and potential toxicity fail to significantly improve prognosis. The occurrence of immunotherapy has revolutionized treatment landscape of various solid tumors, including ICC. However, many previous studies showed that the efficacy of immunotherapy as a monotherapy was modest in advanced ICC patients (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). The present study aimed to explore the efficacy and safety of combination treatments based on PD-1/PD-L1 in advanced ICC patients. We retrospectively analyzed patients receiving PD-1/PD-L1 inhibitors combined with GC or lenvatinib. Objective tumor response and survival analysis were used to compare the efficacy between two combination treatments. Adverse events were also recorded to evaluate the safety. The results of our study showed that both ICIs combined with GC and lenvatinib may be promising first-line treatments for advanced ICC patients, with no significant prognostic difference between two groups.</p>
<p>Chemotherapy has been confirmed to upregulate the expression of immune checkpoint, which can result in significant modifications in immune cell infiltrate (<xref ref-type="bibr" rid="B17">17</xref>). Combining chemotherapy with ICIs may achieve longer survival for cancer patients. Many previous clinical studies have confirmed a better tumor response and survival of receiving PD-1/PD-1 inhibitors plus chemotherapy than standard chemotherapy in patients with non-small cell lung cancer (<xref ref-type="bibr" rid="B18">18</xref>), breast cancer (<xref ref-type="bibr" rid="B19">19</xref>), esophagus cancer (<xref ref-type="bibr" rid="B20">20</xref>), and biliary tract cancer (<xref ref-type="bibr" rid="B11">11</xref>). The results of our study revealed that PD-1/PD-L1 inhibitors plus GC treatment had an ORR and DCR of 23.1% and 46.2%, respectively, in advanced ICC patients, with 6-month and 9-month OS rates of 87.4% and 71.5%, respectively. Similarly, in a phase II trial, camrelizumab plus gemcitabine plus oxaliplatin (GEMOX) has shown a promising antitumor activity and acceptable safety profile as first-line treatment in advanced biliary tract cancer patients. Twenty (54%) out of 37 patients had an objective response. The median PFS was 6.1 months and the median OS was 11.8 months, respectively (<xref ref-type="bibr" rid="B21">21</xref>). Moreover, some studies also indicated that PD-1 inhibitors can resensitize biliary tract cancer to chemotherapy. In a phase II study, patients treated primarily with gemcitabine- or cisplatin-based chemotherapy were subsequently treated with nivolumab plus gemcitabine and cisplatin. Some patients showed a CR, and one showed a PR, suggesting that nivolumab is able to resensitize chemotherapy with gemcitabine and cisplatin (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>Lenvatinib is a multiple receptor tyrosine kinase inhibitor targeting mainly vascular endothelial growth factor (VEGF) and fibroblast growth factor (FGF) receptors (<xref ref-type="bibr" rid="B12">12</xref>). Notably, preclinical research showed that the antitumor activity of lenvatinib will improve when combined with ICIs by reducing tumor-associated macrophages (TAMs) and increasing the percentage of activated CD8+ T cells secreting interferon (IFN)-&#x3b3;+ and granzyme B (GzmB) (<xref ref-type="bibr" rid="B23">23</xref>). Wang et&#xa0;al. reported that the ORR was 12% (95% CI: 1.7&#x2013;22.7), with a median PFS of 3.8 months (95% CI: 1.3&#x2013;6.3) and an OS of 11.4 months in advanced biliary tract carcinoma patients receiving lenvatinib as first-line therapy (<xref ref-type="bibr" rid="B24">24</xref>). Compared with lenvatinib alone, our study showed a higher ORR (16.0%) and longer median PFS (9.5 months) of lenvatinib plus PD-1/PD-L1 inhibitors. Consistent with our results, the median PFS of lenvatinib plus PD-1/PD-L1 inhibitors from a recent study was 8.63 months in ICC patients, longer than lenvatinib alone though slightly shorter than the results of our study (<xref ref-type="bibr" rid="B25">25</xref>). In the same trend, Xie et&#xa0;al. recorded a median PFS of 5.83 months, with an ORR and DCR of 17.5% and 75.0% respectively (<xref ref-type="bibr" rid="B26">26</xref>). In a phase II study, the ORR and DCR reached 42.1% and 76.3%, respectively, in unresectable biliary tract cancer patients receiving lenvatinib plus PD-1 inhibitors as first-line treatment (<xref ref-type="bibr" rid="B27">27</xref>). Zhu et&#xa0;al. recently reported that PD-1/PD-L1 inhibitors plus chemotherapy combined with lenvatinib represented an effective and tolerable treatment option in patients with advanced biliary tract cancer (<xref ref-type="bibr" rid="B28">28</xref>). One possible reason why their results were significantly better than ours is because of the difference in patients&#x2019; baseline profile. Moreover, there may be a difference in the efficacy of targeted therapy combined with immunotherapy and chemotherapy between patients with gallbladder cancer, ICC, and extrahepatic cholangiocarcinoma (<xref ref-type="bibr" rid="B29">29</xref>). Although there are mild differences from various studies, it is apparent that the combination of lenvatinib with PD-1/PD-L1 could be an effective treatment for advanced ICC patients.</p>
<p>In the current study, we found that patients receiving PD-1/PD-L1 inhibitors plus lenvatinib had a poorer physical status, had a higher ECOG grade, and had frequent presence of ascites. This may be due to the selection bias that patients would be treated with lenvatinib only when they are intolerant to chemotherapy in the clinical practice. However, no significant difference was observed in tumor objective response and survival between patients receiving PD-1/PD-L1 inhibitors plus GC and lenvatinib. In the multivariate Cox analysis adjusting for confounding factors, only ECOG grade was the independent risk factor for PFS and OS. As for safety, the incidence of side effects was higher in the chemotherapy group, but it was not statistically significant. Moreover, no grade 4 adverse event and related death was recorded in both groups. Therefore, we speculated that PD-1/PD-L1 plus lenvatinib would be recommended as a promising first-line treatment for advanced ICC patients who refuse or are intolerant to chemotherapy. In the clinical practice, we can formulate individualized anti-cancer treatments depending on the patient&#x2019;s physical performance.</p>
<p>This study has some limitations. First, this is a retrospective single-center study, with a small number of participants and short follow-up. The median OS was not reached in both groups. There may be type II error in our study considering that the conclusions were generated based on non-statistically significant results. A large-scale randomized controlled prospective study is needed to confirm the results of the present study. Second, we included all patients receiving PD-1/PD-L1 inhibitors plus chemotherapy or lenvatinib in this retrospective study, not differentiating specific drugs. The choice of the PD-1/PD-L1 inhibitor is highly individualized in the real world considering drug accessibility, price, medical insurance coverage, and other factors. Moreover, there is no evidence showing which PD-1/PD-L1 inhibitor is better than others in advanced ICC patients. Most patients also lacked data on PD-L1 expression testing, which may have an influence on their response to immunotherapy. Third, all patients enrolled in our study were from one medical institution in China. The efficacy and safety of PD-1/PD-L1 inhibitors plus chemotherapy and lenvatinib as the first-line treatment beyond the current region and race need to be proven in the future.</p>
<p>In conclusion, PD-1/PD-L1 inhibitors in combination with chemotherapy and lenvatinib are both beneficial to tumor control and survival extension as first-line treatment in advanced ICC patients, with no severe adverse events. As for patients with poor physical performance or intolerance to chemotherapy, ICIs plus lenvatinib could be recommended.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The ethics committees of the First Hospital of Jilin University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>All authors have read and approved the final manuscript. N-YW conceived and designed the study. J-XH, BL YL, XL, and L-JD assisted with the development of the methods. J-XH, BL, and YL performed the data analysis. J-XH and BL drafted the initial manuscript. L-JD and N-YW gave many valuable comments on the draft and polished it. All authors assisted with the interpretation of the findings, commented on drafts of the manuscript, and approved the final version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Interdisciplinary Project of Jilin University (04034000002), the Jilin University Excellent Young Teachers Training Program, and the Bethune Special Project of Jilin Provincial Department of Science and Technology (3D5204167428).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to express our sincere thanks to Jing Jiang for her support in data and statistics.</p>
</ack>
<sec id="s9" 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="s10" 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>
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