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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2022.1104399</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between probiotic therapy and the risk of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Ke</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1895122"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Qun</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1321526"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yi</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2145332"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bi</surname>
<given-names>Yufei</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2126178"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Xuanwei</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xianbo</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/865514"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Shicheng Guo, University of Wisconsin-Madison, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Haoyan Li, University of Texas MD Anderson Cancer Center, United States; Lei Huang, Microsoft, United States; Yi Liu, Stanford University, United States; Zhiping Hu, University of Pittsburgh, United States; Zeyuan Wang, Merck, United States; Wentao Liang, Wake Forest University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xianbo Wang, <email xlink:href="mailto:wangxb@ccmu.edu.cn">wangxb@ccmu.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Virus and Host, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>1104399</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Shi, Zhang, Zhang, Bi, Zeng and Wang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Shi, Zhang, Zhang, Bi, Zeng 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>Objective</title>
<p>Probiotics may offer cancer-prevention benefits, based on experimental investigation results. This study aimed to determine the potential association between probiotics and hepatocellular carcinoma (HCC) in patients with hepatitis B-related cirrhosis (HBC) receiving antiviral therapy.</p>
</sec>
<sec>
<title>Design</title>
<p>This retrospective study included 1267 patients with HBC treated with entecavir or tenofovir between January 2013 and December 2017. The risk of developing HCC was compared between two cohorts of 449 probiotic users (taking a cumulative defined daily doses [cDDD] of &#x2265; 28) and 818 non-probiotic users (&lt; 28 cDDD). To eliminate the bias caused by confounding factors, propensity score matching (PSM) was used.</p>
</sec>
<sec>
<title>Results</title>
<p>On multivariate regression analysis, probiotic consumption was an independent protective factor for HCC occurrence. After PSM, the incidence of HCC was significantly lower in the probiotic users than that in the nonusers (adjusted hazard ratio [aHR]: 0.70, 95% confidence interval: 0.59&#x2013;0.83, <italic>P</italic> &lt; 0.001). The aHRs for probiotics with 28&#x2013;89, 90&#x2013;180, and &gt;180 cDDD were 0.58, 0.28, and 0.12, respectively, indicating a dose-response pattern. In 28&#x2013;89, 90&#x2013;180, and &gt;180 cDDD, the 3-year cumulative incidence of HCC was 8.7%, 4.7%, and 3.0%, respectively. A multivariate stratified analysis confirmed that the administration of probiotics could help patients.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Adjuvant probiotic therapy may reduce the risk of HCC in patients receiving antiviral medication for HBC. However, further clinical research is required to confirm these findings.</p>
</sec>
</abstract>
<kwd-group>
<kwd>liver cancer</kwd>
<kwd>hepatitis B virus</kwd>
<kwd>probiotics</kwd>
<kwd>cirrhosis</kwd>
<kwd>propensity score matching</kwd>
<kwd>gut microbiota</kwd>
</kwd-group>
<contract-num rid="cn001">Z191100006619033</contract-num>
<contract-sponsor id="cn001">Beijing Municipal Science and Technology Commission<named-content content-type="fundref-id">10.13039/501100009592</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="12"/>
<word-count count="5987"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is a severe health problem and has become the second leading cause of cancer mortality globally, accounting for 782,000 deaths annually (<xref ref-type="bibr" rid="B6">Bray et&#xa0;al., 2018</xref>). The hepatitis B virus (HBV) is the leading cause of cirrhosis and HCC worldwide (<xref ref-type="bibr" rid="B11">El-Serag, 2012</xref>). Cirrhosis affects approximately 80% of patients with a subsequent diagnosis of HCC. However, most patients are diagnosed at an advanced stage, with limited treatment options and a low survival rate (<xref ref-type="bibr" rid="B3">Balogh et&#xa0;al., 2016</xref>). Current antiviral therapies, such as nucleos(t)ide analogs [NA(s)], are efficacious in inhibiting viral replication, improving liver inflammation, and reducing HCC incidence (<xref ref-type="bibr" rid="B8">Chang et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B18">Marcellin et&#xa0;al., 2013</xref>). Several studies have reported that antiviral therapy can attenuate, but not completely eliminate the risk of HCC in patients with hepatitis B-related cirrhosis (HBC) (<xref ref-type="bibr" rid="B15">Lee and Ahn, 2016</xref>). Despite HBV replication decrease, antiviral therapy alone may be insufficient to prevent HCC. Because of the growing incidence and high mortality rate of HCC, new treatments or prophylactic strategies are urgently needed to lower the risk of HCC.</p>
<p>Probiotics, as live microorganisms, provide health benefits to the host when administered in adequate amounts (<xref ref-type="bibr" rid="B40">Wan and El-Nezami, 2018</xref>). Recent studies have reported that probiotics could be used as an alternative for cancer prevention and treatment (<xref ref-type="bibr" rid="B44">Yu and Li, 2016</xref>; <xref ref-type="bibr" rid="B35">Singh et&#xa0;al., 2021</xref>). Probiotics can regulate the intestinal microflora and maintain the balance in the microbiota ecosystem (<xref ref-type="bibr" rid="B20">Mendoza, 2019</xref>). Probiotics influence various biological processes associated with cancer, such as inflammation, oxidative stress, apoptosis, proliferation, and metastasis (<xref ref-type="bibr" rid="B38">Thilakarathna et&#xa0;al., 2021</xref>). In addition, probiotics are reported to play an important role in cancer prevention by regulating the microbiome and immune response (<xref ref-type="bibr" rid="B13">Feng et&#xa0;al., 2018</xref>). Therefore, clinical trials on the modulation of microbiota dysbiosis by probiotics will contribute to the clinical application of probiotics in the future management of several cancer types.</p>
<p>Multiple researchers have reported that patients with HBC have an altered gut microbiota and significantly greater plasma endotoxin levels than healthy individuals (<xref ref-type="bibr" rid="B26">Qin et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2021</xref>). Microbial dysbiosis and endotoxemia are important contributing factors to cirrhosis in HCC (<xref ref-type="bibr" rid="B40">Wan and El-Nezami, 2018</xref>). Probiotics have an antiviral activity that slows HCC progression by preventing chronic HBV infection (<xref ref-type="bibr" rid="B16">Lee et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B38">Thilakarathna et&#xa0;al., 2021</xref>). In an animal study, VSL#3 treatment reduced liver inflammation and restored intestinal homeostasis, preventing cirrhosis progression to HCC (<xref ref-type="bibr" rid="B47">Zhang et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2016</xref>). Considering the increasing use of probiotics and incidence of HCC, the potential link between probiotics and HCC is an important issue to investigate. However, few studies have reported the effects of adjuvant probiotic therapy on the risk of HCC in patients with HBC in clinical practice. Propensity score matching (PSM) has been used to reduce bias caused by potential confounding factors between groups (<xref ref-type="bibr" rid="B30">Rusthoven et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B39">Tian et&#xa0;al., 2022</xref>). PSM is an effective statistical method to explore the efficacy of probiotics and HCC occurrence in patients with HBC.</p>
<p>Therefore, we used PSM to investigate the association between probiotic therapy and the risk of HCC among patients with HBC and to provide clinical evidence for probiotics as adjuvant therapy in these populations.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Participants</title>
<p>We examined 1932 patients treated for HBC at Beijing Ditan Hospital, Capital Medical University, between January 2013 and December 2017. Patients with HBC aged 20&#x2013;75 years were enrolled in this study. Exclusion criteria were being infected with human immunodeficiency virus; having other hepatitis infections, malignancies, or liver failure; having undergone liver transplantation; having alcoholic liver and severe fatty liver; having obtained a probiotic prescription before the index date; and having died or had less than 3 years of follow-up. After applying the exclusion criteria, 1267 patients were enrolled in the study.</p>
<p>Patients were divided into two cohorts based on the clinically effective proportion of probiotic therapy they received: probiotics &#x2265; 28 cumulative defined daily doses (cDDD) based on antiviral therapy or no probiotic at all (<xref ref-type="bibr" rid="B19">Marlicz et&#xa0;al., 2016</xref>). Ultimately, 449 patients received probiotics &#x2265; 28 cDDD, and 818 patients did not receive probiotics. Thus, 442 probiotic users and 442 non-users were randomly paired after a 1:1 PSM (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The index date was the date of the diagnosis of cirrhosis at our hospital. The outcome of this study was the occurrence of HCC or the end of the 3-year follow-up period. The study protocol was performed in accordance with the principles of the Declaration of Helsinki and was approved by the ethics committee of Beijing Ditan Hospital.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of the enrollment of patients in the study. HCC, hepatocellular carcinoma; HIV, human immunodeficiency virus; cDDD, cumulative defined daily doses.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1104399-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Clinical definitions and data collection</title>    <p>Chronic hepatitis B is defined as the persistent presence of the hepatitis B surface antigen for &gt; 6 months (<xref ref-type="bibr" rid="B32">Sarin et&#xa0;al., 2016</xref>). Cirrhosis was diagnosed based on the following criteria: liver biopsy; endoscopic or ultrasound abnormal findings; cirrhotic elastography; and complications related to portal hypertension, such as ascites, hepatic encephalopathy (HE), and esophagogastric variceal bleeding (<xref ref-type="bibr" rid="B34">Shiha et&#xa0;al., 2009</xref>). Histological or radiological evidence (computed tomography or magnetic resonance imaging) was used to diagnose HCC (<xref ref-type="bibr" rid="B7">Bruix and Sherman, 2011</xref>). DDD was used to measure the prescribed dose of probiotics as recommended by the World Health Organization (WHO) (<xref ref-type="bibr" rid="B41">WHO Collaborating Center for Drugs Statistics Methodology, 2003</xref>). For example, the average daily maintenance dose of probiotics for an adult is 1 DDD. The cDDD, which indicates the duration of administration of probiotics, is the sum of all cDDDs administered during the 3-year follow-up. The probiotic group received at least 28 cDDD of probiotics after diagnosis of HBC (based on data from the medical records of probiotics used at our hospital). Virological response (VR) was defined as an undetectable HBV DNA load at the end of the study.</p>
<p>Baseline demographic variables and laboratory measurements, including hemogram; liver, renal, and coagulation tests; HBV DNA; and alpha-fetoprotein (AFP), were recorded from a computerized database during the first week of enrollment. The model for end-stage liver disease (MELD) and Child-Turcotte-Pugh (CTP) scores were used to estimate the severity of the liver disease (<xref ref-type="bibr" rid="B42">Wiesner et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B5">Botero and Lucey, 2003</xref>). Every 3&#x2013;6 months, routine laboratory tests and radiological examinations were performed. The probiotic dosage, frequency, total number of prescriptions, and duration were recorded during the study period.</p>
</sec>
<sec id="s2_3">
<title>Treatments</title>
<p>Patients with HBC received first-line antiviral therapy, such as entecavir (ETV) or tenofovir (TDF). Moreover, according to the doctor&#x2019;s diagnosis, some patients received probiotics as an additional medication to balance the gut flora. Prescription drugs are included in our database by name, dose, and course of treatment. <italic>Bacillus licheniformis</italic> capsule; live combined <italic>Bacillus subtilis</italic> and <italic>Enterococcus faecium</italic> enteric-coated capsules; live combined <italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic>, and <italic>Enterococcus</italic> capsules; and live combined <italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic>, <italic>Enterococcus</italic>, and <italic>Bacillus cereus</italic> tablets were included in this study. <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref> shows more information on the probiotics used in this study.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>The t-test was used to compare normally distributed continuous variables, whereas the Mann&#x2013;Whitney U test was used for non-normally distributed variables. The chi-square or Fisher&#x2019;s exact test was used to evaluate categorical variables. To identify independent risk factors influencing 3-year HCC occurrence, univariate and multivariate Cox proportional hazard regression models were used. The propensity score is the probability of treatment assignment conditional on baseline characteristics (<xref ref-type="bibr" rid="B1">Austin, 2011</xref>). Using the propensity score, the distribution of baseline characteristics between exposed and unexposed patients is independent of the therapy received, which allows for the estimation of unbiased treatment effects (<xref ref-type="bibr" rid="B1">Austin, 2011</xref>). A logistic regression model was used to calculate PSM based on variables related to outcome to balance the potential bias and minimize confounding variables. The probiotics users and nonusers were matched randomly by age, sex, ascites, HE, alanine aminotransferase (ALT), platelet count, and NA(s) treatment before ETV/TDF. The nearest neighbor matching algorithm with a caliper width of 0.05 was used to undertake one-to-one matching without replacement. The caliper width was 0.05 times the standard deviation of the logit of the propensity score (<xref ref-type="bibr" rid="B1">Austin, 2011</xref>), which eliminate at least 99% of the bias due to confounding factors (<xref ref-type="bibr" rid="B30">Rusthoven et&#xa0;al., 2016</xref>). The performance of the propensity score model was assessed by evaluating whether any important relationships between the exposure groups and the covariates remained after adjustment. SPSS 25.0 (IBM Corp., Armonk, New York, USA) was used for the analyses.</p>
<p>To examine the dose-response relationship, we divided patients into four groups according to probiotics use: 28&#x2013;89, 90&#x2013;180, and &gt;180 cDDD. The Kaplan-Meier method was employed to estimate the cumulative incidence of HCC, and the log-rank test was utilized to assess the differences between the curves. The process was generated using the packages of survival <italic>via</italic> R software (version 4.1.3; The R Foundation, Vienna, Austria). The Cox proportional hazards regression model was used to calculate the multivariate-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of HCC associated with probiotic administration. Additionally, as a sensitivity analysis, a multivariate stratified analysis was performed to investigate the difference and consistency between probiotic therapy and the risk of HCC in the patient subgroups. A two-sided <italic>P</italic> &lt; 0.05 was considered statistically significant. The supporting data and related scripts are available on GitHub (<uri xlink:href="https://github.com/Shike130909/Probiotic-therapy-and-the-risk-of-HCC">https://github.com/Shike130909/Probiotic-therapy-and-the-risk-of-HCC</uri>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Baseline characteristics</title>
<p>Of the 1267 patients with HBC, 134 (10.6%) developed HCC during the 3-year follow-up. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the baseline characteristics and laboratory variables for both the unmatched and matched cohorts. Before PSM, patients in the probiotics group had higher total bilirubin, platelet levels, and longer prothrombin time than those in the non-probiotics group (all <italic>P</italic> &lt; 0.05). In the probiotic group, patients had a significant percentage of ascites and HE. Moreover, probiotic users had higher MELD and CTP scores than nonusers (<italic>P</italic> &lt; 0.001). The VR was achieved in 97% and 98.7% of the probiotic and non-probiotics groups at the end of 1 year after antiviral therapy, respectively. After PSM, the two groups&#x2019; demographic and clinical baseline characteristics were consistent, and a matched cohort of 884 patients was included in the analysis.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical characteristics of patients with hepatitis B-related cirrhosis in unmatched and matched cohorts.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" colspan="3" align="center">Unmatched cohort</th>
<th valign="top" colspan="3" align="center">Matched cohort</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Probiotics user<break/>(n = 449)</th>
<th valign="top" align="center">Non-probiotics users<break/>(n = 818)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
<th valign="top" align="center">Probiotics user<break/>(n = 442)</th>
<th valign="top" align="center">Non-probiotics users<break/>(n = 442)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">51.1 &#xb1; 10.2</td>
<td valign="top" align="center">49.7 &#xb1; 10.8</td>
<td valign="top" align="center">
<bold>0.020</bold>
</td>
<td valign="top" align="center">51.1 &#xb1; 10.7</td>
<td valign="top" align="center">50.3 &#xb1; 10.9</td>
<td valign="top" align="center">0.135</td>
</tr>
<tr>
<td valign="top" align="left">Male sex, n (%)</td>
<td valign="top" align="center">305 (67.9%)</td>
<td valign="top" align="center">588 (71.9%)</td>
<td valign="top" align="center">0.140</td>
<td valign="top" align="center">301 (68.1%)</td>
<td valign="top" align="center">312 (70.6%)</td>
<td valign="top" align="center">0.422</td>
</tr>
<tr>
<td valign="top" align="left">Family history of HCC, n (%)</td>
<td valign="top" align="center">37 (8.2%)</td>
<td valign="top" align="center">66 (8.1%)</td>
<td valign="top" align="center">0.915</td>
<td valign="top" align="center">38 (8.7%)</td>
<td valign="top" align="center">25 (5.7%)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol use, n (%)</td>
<td valign="top" align="center">104 (23.2%)</td>
<td valign="top" align="center">187 (22.9%)</td>
<td valign="top" align="center">0.903</td>
<td valign="top" align="center">103 (23.3%)</td>
<td valign="top" align="center">73 (16.5%)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Smoking, n (%)</td>
<td valign="top" align="center">107 (23.8%)</td>
<td valign="top" align="center">205 (25.1%)</td>
<td valign="top" align="center">
<bold>0.627</bold>
</td>
<td valign="top" align="center">106 (24.0%)</td>
<td valign="top" align="center">96 (21.7%)</td>
<td valign="top" align="center">0.423</td>
</tr>
<tr>
<td valign="top" align="left">Variceal bleeding, n (%)</td>
<td valign="top" align="center">86 (19.2%)</td>
<td valign="top" align="center">150 (18.3%)</td>
<td valign="top" align="center">0.721</td>
<td valign="top" align="center">85 (19.2%)</td>
<td valign="top" align="center">90 (20.4%)</td>
<td valign="top" align="center">0.673</td>
</tr>
<tr>
<td valign="top" align="left">Ascites, n (%)</td>
<td valign="top" align="center">189 (42.1%)</td>
<td valign="top" align="center">273 (33.4%)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">185 (41.9%)</td>
<td valign="top" align="center">186 (42.1%)</td>
<td valign="top" align="center">0.946</td>
</tr>
<tr>
<td valign="top" align="left">Hepatic encephalopathy, n (%)</td>
<td valign="top" align="center">30 (6.7%)</td>
<td valign="top" align="center">32 (3.9%)</td>
<td valign="top" align="center">
<bold>0.029</bold>
</td>
<td valign="top" align="center">26 (5.9%)</td>
<td valign="top" align="center">21 (4.8%)</td>
<td valign="top" align="center">0.454</td>
</tr>
<tr>
<td valign="top" align="left">Alanine aminotransferase, U/L</td>
<td valign="top" align="center">35.6 (24.2, 81.7)</td>
<td valign="top" align="center">37.3 (24.3, 64.5)</td>
<td valign="top" align="center">0.442</td>
<td valign="top" align="center">36.2 (24.6, 81.2)</td>
<td valign="top" align="center">37.3 (24.3, 84.2)</td>
<td valign="top" align="center">0.627</td>
</tr>
<tr>
<td valign="top" align="left">Aspartate aminotransferase, U/L</td>
<td valign="top" align="center">47.0 (32.1, 84.1)</td>
<td valign="top" align="center">42.4 (28.9, 67.1)</td>
<td valign="top" align="center">0.784</td>
<td valign="top" align="center">47.0 (32.2, 84.5)</td>
<td valign="top" align="center">44.7 (30.0, 87.0)</td>
<td valign="top" align="center">0.926</td>
</tr>
<tr>
<td valign="top" align="left">Total bilirubin, &#x3bc;mol/L</td>
<td valign="top" align="center">28.5 (19.3, 46.7)</td>
<td valign="top" align="center">22.4 (14.5, 36.8)</td>
<td valign="top" align="center">
<bold>0.016</bold>
</td>
<td valign="top" align="center">28.4 (19.2, 46.1)</td>
<td valign="top" align="center">24.5 (15.5, 41.5)</td>
<td valign="top" align="center">0.400</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="center">31.2 &#xb1; 6.0</td>
<td valign="top" align="center">33.6 &#xb1; 6.7</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">31.3 &#xb1; 6.0</td>
<td valign="top" align="center">32.5 &#xb1; 6.2</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left">White blood cell count, &#xd7;10<sup>9</sup>/L</td>
<td valign="top" align="center">3.6 (2.7, 4.9)</td>
<td valign="top" align="center">4.0 (2.8, 5.6)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">3.6 (2.6, 4.9)</td>
<td valign="top" align="center">3.7 (2.6, 5.3)</td>
<td valign="top" align="center">0.134</td>
</tr>
<tr>
<td valign="top" align="left">Platelet count, &#xd7;10<sup>9</sup>/L</td>
<td valign="top" align="center">71.6 (48.0, 87.2)</td>
<td valign="top" align="center">69.5 (48.0,102.5)</td>
<td valign="top" align="center">
<bold>0.006</bold>
</td>
<td valign="top" align="center">64.6 (46.0, 87.0)</td>
<td valign="top" align="center">64.6 (45.3, 94.5)</td>
<td valign="top" align="center">0.573</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, &#x3bc;mol/L</td>
<td valign="top" align="center">64.0 (55.0, 74.0)</td>
<td valign="top" align="center">66.0 (58.0, 75.9)</td>
<td valign="top" align="center">0.441</td>
<td valign="top" align="center">64.0 (55.0, 74.0)</td>
<td valign="top" align="center">66.0 (56.1, 75.0)</td>
<td valign="top" align="center">0.615</td>
</tr>
<tr>
<td valign="top" align="left">Blood urea nitrogen, mmol/L</td>
<td valign="top" align="center">5.1 (3.9, 6.7)</td>
<td valign="top" align="center">5.3 (4.4, 6.8)</td>
<td valign="top" align="center">0.385</td>
<td valign="top" align="center">5.1 (3.9, 6.8)</td>
<td valign="top" align="center">5.3 (4.1, 6.8)</td>
<td valign="top" align="center">0.892</td>
</tr>
<tr>
<td valign="top" align="left">Prothrombin time (s)</td>
<td valign="top" align="center">15.2 (13.8, 17.1)</td>
<td valign="top" align="center">14.5 (13.0, 16.3)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">15.2 (13.8, 17.0)</td>
<td valign="top" align="center">15.0 (13.3, 16.8)</td>
<td valign="top" align="center">0.159</td>
</tr>
<tr>
<td valign="top" align="left">International normalized ratio</td>
<td valign="top" align="center">1.3 (1.1, 1.4)</td>
<td valign="top" align="center">1.2(1.1, 1.4)</td>
<td valign="top" align="center">0.865</td>
<td valign="top" align="center">1.2 (1.1, 1.4)</td>
<td valign="top" align="center">1.2(1.1, 1.4)</td>
<td valign="top" align="center">0.494</td>
</tr>
<tr>
<td valign="top" align="left">Alpha-fetoprotein, ng/ml</td>
<td valign="top" align="center">6.5 (3.2, 25.4)</td>
<td valign="top" align="center">7.4 (3.3, 34.9)</td>
<td valign="top" align="center">0.166</td>
<td valign="top" align="center">6.5 (3.2, 25.4)</td>
<td valign="top" align="center">8.0 (3.9, 35.4)</td>
<td valign="top" align="center">0.082</td>
</tr>
<tr>
<td valign="top" align="left">HBV DNA, log<sub>10</sub>IU/ml</td>
<td valign="top" align="center">3.5 (2.7, 5.6)</td>
<td valign="top" align="center">4.4 (2.7, 5.8)</td>
<td valign="top" align="center">0.737</td>
<td valign="top" align="center">4.4 (2.7, 5.6)</td>
<td valign="top" align="center">4.6 (2.7, 5.6)</td>
<td valign="top" align="center">0.180</td>
</tr>
<tr>
<td valign="top" align="left">NA(s) treatment before ETV/TDF, n (%)</td>
<td valign="top" align="center">123 (27.4)</td>
<td valign="top" align="center">238 (29.1)</td>
<td valign="top" align="center">0.521</td>
<td valign="top" align="center">121 (27.4)</td>
<td valign="top" align="center">104 (23.5)</td>
<td valign="top" align="center">0.189</td>
</tr>
<tr>
<td valign="top" align="left">Child-Pugh score</td>
<td valign="top" align="center">9.0 (7.0, 10.0)</td>
<td valign="top" align="center">8.0 (6.0, 9.0)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">9.0 (7.0, 10.0)</td>
<td valign="top" align="center">8.0 (6.0, 10.0)</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">MELD score</td>
<td valign="top" align="center">8.6 (7.3, 11.5)</td>
<td valign="top" align="center">7.9 (6.4, 10.2)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">8.6 (7.3, 11.3)</td>
<td valign="top" align="center">8.6 (6.6, 11.1)</td>
<td valign="top" align="center">0.491</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MELD, Model for End-Stage Liver Disease. Bold values: P &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Analysis of risk factors</title>
<p>As presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, in the multivariate Cox regression analysis that was adjusted for age, sex, family history of HCC, ascites, HE, ALT, albumin, platelets, blood urea nitrogen, HBV DNA, and NA(s) treatment before ETV/TDF, probiotics use was still an independent factor against HCC occurrence (aHR = 0.43, 95% CI 0.28&#x2013;0.65; <italic>P</italic> &lt; 0.001). Older age (aHR = 1.04, 95% CI 1.02&#x2013;1.06; <italic>P</italic> &lt; 0.001), family history of HCC (aHR = 1.83, 95% CI 1.13&#x2013;2.96; <italic>P</italic> = 0.014), ascites (aHR = 1.76, 95% CI 1.06&#x2013;2.92; <italic>P</italic> = 0.028), HE (aHR = 2.62, 95% CI 1.45&#x2013;4.71; <italic>P</italic> = 0.001), and higher blood urea nitrogen (aHR = 1.05, 95% CI 1.00&#x2013;1.10; <italic>P</italic> = 0.048) also significantly increased HCC risk. However, using NA(s) treatment before ETV/TDF was related to a lower HCC risk (aHR = 0.50, 95%CI 0.32&#x2013;0.78; <italic>P</italic> = 0.002).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Cox proportional hazards regression model analysis for risk of HCC in patients with hepatitis B-related cirrhosis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" colspan="2" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="2" align="center">HR (95% CI)&#x2003;<italic>P</italic> value</th>
<th valign="top" colspan="2" align="center">HR (95% CI)&#x2003;<italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Probiotics use</td>
<td valign="top" align="center">0.51 (0.34&#x2013;0.76)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">0.46 (0.31&#x2013;0.70)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">1.04 (1.03&#x2013;1.06)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">1.04 (1.02&#x2013;1.05)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Sex (male vs. female)</td>
<td valign="top" align="center">0.91 (0.62&#x2013;1.33)</td>
<td valign="top" align="center">0.637</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Family history of HCC</td>
<td valign="top" align="center">2.09 (1.30&#x2013;3.36)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
<td valign="top" align="center">1.83 (1.13&#x2013;2.96)</td>
<td valign="top" align="center">
<bold>0.014</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="center">1.25 (0.85&#x2013;1.83)</td>
<td valign="top" align="center">0.251</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">1.35 (0.72&#x2013;1.77)</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Variceal bleeding</td>
<td valign="top" align="center">1.23 (0.82&#x2013;1.86)</td>
<td valign="top" align="center">0.320</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Ascites</td>
<td valign="top" align="center">1.85 (1.32&#x2013;2.60)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">1.76 (1.06&#x2013;2.92)</td>
<td valign="top" align="center">
<bold>0.028</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Hepatic encephalopathy</td>
<td valign="top" align="center">2.52 (1.45&#x2013;4.38)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
<td valign="top" align="center">2.62 (1.45&#x2013;4.71)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Alanine aminotransferase (U/L)</td>
<td valign="top" align="center">0.99 (0.99&#x2013;0.99)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">0.99 (0.99&#x2013;0.99)</td>
<td valign="top" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Aspartate aminotransferase (U/L)</td>
<td valign="top" align="center">0.99 (0.99&#x2013;1.00)</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total bilirubin (&#x3bc;mol/L)</td>
<td valign="top" align="center">0.99 (0.99&#x2013;1.01)</td>
<td valign="top" align="center">0.525</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L)</td>
<td valign="top" align="center">0.97 (0.95&#x2013;0.99)</td>
<td valign="top" align="center">
<bold>0.042</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">White blood cell count (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">1.05 (0.98&#x2013;1.13)</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet count (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">0.99 (0.98&#x2013;0.99)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
<td valign="top" align="center">0.99 (0.98&#x2013;0.99)</td>
<td valign="top" align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine (mg/dl)</td>
<td valign="top" align="center">1.00 (0.99&#x2013;1.01)</td>
<td valign="top" align="center">0.480</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Blood urea nitrogen (mg/dl)</td>
<td valign="top" align="center">1.06 (1.02&#x2013;1.12)</td>
<td valign="top" align="center">
<bold>0.010</bold>
</td>
<td valign="top" align="center">1.05 (1.00&#x2013;1.10)</td>
<td valign="top" align="center">
<bold>0.048</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Prothrombin time (s)</td>
<td valign="top" align="center">1.02 (0.97&#x2013;1.07)</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Alpha-fetoprotein (ng/ml)</td>
<td valign="top" align="center">1.00 (0.99&#x2013;1.01)</td>
<td valign="top" align="center">0.820</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HBV DNA (log<sub>10</sub>IU/ml)</td>
<td valign="top" align="center">1.13 (1.03&#x2013;1.24)</td>
<td valign="top" align="center">
<bold>0.010</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">NA(s) treatment before ETV/TDF</td>
<td valign="top" align="center">0.54 (0.35&#x2013;0.84)</td>
<td valign="top" align="center">
<bold>0.006</bold>
</td>
<td valign="top" align="center">0.50 (0.32&#x2013;0.78)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Child-Pugh score</td>
<td valign="top" align="center">1.07 (0.99&#x2013;1.14)</td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MELD score</td>
<td valign="top" align="center">1.01 (0.96&#x2013;1.06)</td>
<td valign="top" align="center">0.656</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA(s), nucleos(t)ide analogue(s); ETV, entecavir; TDF, tenofovir; MELD, Model for End-Stage Liver Disease. Bold values: P &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Effects of probiotics on HCC occurrence</title>
<p>In the unmatched cohort, the probiotics group had a significantly lower incidence of HCC than the non-probiotics group (6.7% vs. 12.7%, <italic>P</italic> &lt; 0.001; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). After PSM, the 3-year HCC occurrence rates in probiotic users and nonusers were 6.1% and 14.0%, respectively (<italic>P</italic> &lt; 0.001; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The probiotics group was categorized into three subgroups based on the probiotics dose used: 28&#x2013;89 cDDD, 90&#x2013;180 cDDD, and &gt; 180 cDDD. <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref> show the Kaplan&#x2013;Meier analysis results for the unmatched cohort and matched cohort. The probiotics group had a significantly reduced incidence of HCC in a dose-response manner than the non-probiotics group (both <italic>P</italic> &lt; 0.005).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Cumulative incidence of HCC in patients with HBC. <bold>(A)</bold> Cumulative incidence of HCC among probiotics (n = 449) and nonusers (n = 818) in the unmatched cohort (6.7% vs. 12.7%, log-rank test <italic>P</italic> = 0.00091). <bold>(B)</bold> Cumulative incidence of HCC among probiotics (n = 442) and nonusers (n = 442) in the matched cohort (6.1% vs. 14.0%, log-rank test <italic>P</italic> &lt; 0.0001). <bold>(C)</bold> Cumulative incidence of HCC in patients with &lt; 28 (n = 818), 28&#x2013;89 (n = 189), 90&#x2013;180 (n = 194), and &gt; 180 cDDD (n = 66) of probiotics use before matching (12.7% vs. 9.5% vs. 5.2% vs. 3.0%, log-rank test <italic>P</italic> = 0.0031). <bold>(D)</bold> Cumulative incidence of HCC in patients with with &lt; 28 (n = 442), 28&#x2013;89 (n = 184), 90&#x2013;180 (n = 192), and &gt; 180 cDDD (n = 66) of probiotics use after matching (14.0% vs. 8.7% vs. 4.7% vs. 3.0%, log-rank test <italic>P</italic> = 0.00039). HCC, hepatocellular carcinoma; HBC, hepatitis B-related cirrhosis; cDDD, cumulative defined daily doses.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1104399-g002.tif"/>
</fig>
<p>Additionally, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> shows the dose-response relationship between the administration of probiotics and the risk of HCC development. In the unmatched cohort, the aHRs were 0.67 (95% CI, 0.41&#x2013;1.11, <italic>P</italic> = 0.120), 0.31 (95% CI, 0.16&#x2013;0.58, <italic>P</italic> = 0.001), and 0.15 (95% CI, 0.04&#x2013;0.61, <italic>P</italic> = 0.008) for patients that received 28&#x2013;89, 90&#x2013;180, and &gt; 180 cDDD, probiotics respectively. In the matched cohort, the overall aHR for HCC development was 0.59 (95% CI, 0.34&#x2013;0.81, <italic>P</italic> &lt; 0.001) for probiotic users versus non-probiotic users. The aHRs for probiotic usage of 28&#x2013;89 cDDD, 90&#x2013;180 cDDD, and &gt; 180 cDDD, were 0.58 (95% CI, 0.33&#x2013;1.01, <italic>P</italic> = 0.053), 0.28 (95% CI, 0.14&#x2013;0.56, <italic>P</italic> = 0.001), and 0.12 (95% CI, 0.03&#x2013;0.52, <italic>P</italic> = 0.004), respectively.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Risk of of hepatocellular carcinoma according to probiotics use in unmatched and matched cohorts.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Strata</th>
<th valign="top" align="center">Total</th>
<th valign="top" align="center">HCC</th>
<th valign="top" align="center">Crude HR (95%CI)</th>
<th valign="top" align="center">Adjusted HR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Unmatched cohort</th>
</tr>
<tr>
<td valign="top" align="left">Non&#x2013;probiotics user (&lt; 28cDDD)</td>
<td valign="top" align="center">818</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">1 (Reference)</td>
</tr>
<tr>
<td valign="top" align="left">Probiotics user<break/>(&#x2265; 28cDDD)</td>
<td valign="top" align="center">449</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.45 (0. 29&#x2013;0.72) <italic>P &lt;</italic>0.001</td>
<td valign="top" align="center">0.69 (0.60&#x2013;0.81) <italic>P</italic> &lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">28&#x2013;90 cDDD</td>
<td valign="top" align="center">189</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.74 (0.45&#x2013;1.21) <italic>P</italic> = 0.235</td>
<td valign="top" align="center">0.67 (0.41&#x2013;1.11) <italic>P</italic> = 0.120</td>
</tr>
<tr>
<td valign="top" align="left">90&#x2013;180 cDDD</td>
<td valign="top" align="center">194</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.39 (0.20&#x2013;0.74) <italic>P</italic> = 0.004</td>
<td valign="top" align="center">0.31 (0.16&#x2013;0.58) <italic>P</italic> = 0.001</td>
</tr>
<tr>
<td valign="top" align="left">&gt;180 cDDD</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.22 (0.05&#x2013;0.91) <italic>P</italic> = 0.037</td>
<td valign="top" align="center">0.15 (0.04&#x2013;0.61) <italic>P</italic> = 0.008</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Matched cohort</th>
</tr>
<tr>
<td valign="top" align="left">Non&#x2013;probiotics user (&lt; 28cDDD)</td>
<td valign="top" align="center">442</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">1 (Reference)</td>
<td valign="top" align="center">1 (Reference)</td>
</tr>
<tr>
<td valign="top" align="left">Probiotics user<break/>(&#x2265; 28cDDD)</td>
<td valign="top" align="center">442</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">0.70 (0.59&#x2013;0.83) <italic>P</italic> &lt; 0.001</td>
<td valign="top" align="center">0.59 (0.34&#x2013;0.81) <italic>P</italic> &lt; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">28&#x2013;90 cDDD</td>
<td valign="top" align="center">184</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.59 (0.34&#x2013;1.03) <italic>P</italic> = 0.064</td>
<td valign="top" align="center">0.58 (0.33&#x2013;1.01) <italic>P</italic> = 0.053</td>
</tr>
<tr>
<td valign="top" align="left">90&#x2013;180 cDDD</td>
<td valign="top" align="center">192</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.31 (0.15&#x2013;0.63) <italic>P</italic> = 0.001</td>
<td valign="top" align="center">0.28 (0.14&#x2013;0.56) <italic>P</italic> = 0.001</td>
</tr>
<tr>
<td valign="top" align="left">&gt;180 cDDD</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.20 (0.05&#x2013;0.82) <italic>P</italic> = 0.025</td>
<td valign="top" align="center">0.12 (0.03&#x2013;0.52) <italic>P</italic> = 0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Adjusted HR represents multivariate-adjusted hazard ratio: age, sex, Family history of HCC, ascites, hepatic encephalopathy, alanine aminotransferase, platelet count, NA(s) treatment before ETV/TDF. HR, hazard ratio; cDDD, cumulative defined daily doses; CI, confidence interval; HCC, hepatocellular carcinoma; NA(s), nucleos(t)ide analogue(s); ETV, entecavir; TDF, tenofovir.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>HCC risk analyses using MELD score and CTP class</title>
<p>After PSM, 577 patients had MELD scores &lt;10, and 307 patients had MELD scores &#x2265;10. When the MELD was &lt;10, the 3-year HCC incidences were 12.6% and 6.8% in the non-probiotic and probiotics groups, respectively (<italic>P</italic> = 0.019, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). When the MELD was &#x2265;10, the 3-year HCC incidences were 16.5% and 4.7% in the non-probiotics and probiotics groups, respectively (<italic>P</italic> &lt; 0.001, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Additionally, 237 patients belonged to CTP class A; 345, to CTP class B; and 302, to CTP class C. The 3-year HCC incidences were 11.4% and 6.2% in CTP class A (<italic>P</italic> = 0.17, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>), 13.4% and 5.5% in CTP class B (<italic>P</italic> = 0.012, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>), and 17.4% and 6.7% in CTP class C (<italic>P</italic> = 0.0025, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>) in the non-probiotics and probiotics groups, respectively.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier survival curves of risk stratification according to MELD score and CTP classification. <bold>(A)</bold> Cumulative incidence of HCC in probiotics users and nonusers with MELD scores &lt; 10 (n = 577, 6.8% vs. 12.6%, log-rank test <italic>P</italic> = 0.019). <bold>(B)</bold> Cumulative incidence of HCC in probiotics users and nonusers with MELD scores &#x2265; 10 (n = 307, 4.7% vs. 16.5%, log-rank test <italic>P</italic> = 0.00052). <bold>(C)</bold> Cumulative incidence of HCC in probiotics users and nonusers in CTP class A (n = 237, 6.2% vs. 11.4%, log-rank test <italic>P</italic> = 0.17). <bold>(D)</bold> Cumulative incidence of HCC in probiotics users and nonusers in CTP class A (n = 345, 5.5% vs. 13.4%, log-rank test <italic>P</italic> = 0.012). <bold>(E)</bold> Cumulative incidence of HCC in probiotics users and nonusers in CTP class A (n = 302, 6.7% vs. 17.4%, log-rank test <italic>P</italic> = 0.0025). MELD, Model for End-Stage Liver Disease. CTP,Child-Turcotte-Pugh.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-12-1104399-g003.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Multivariate stratified analysis for probiotic therapy</title>
<p>The multivariate stratified analysis was used to investigate the association between the administration of probiotics and the risk of HCC in patient subgroups (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). We examined the outcome in groups based on age, sex, ascites, HE, ALT level, platelet counts, and NA(s) treatment before ETV/TDF. Among patients aged 50 years or younger (HR: 0.31, 95% CI 0.11&#x2013;0.83), older than 50 years (HR: 0.42, 95% CI 0.25&#x2013;0.69); males (HR: 0.40, 95% CI 0.23&#x2013;0.66); and those with (HR: 0.36, 95% CI 0.19&#x2013;0.67) or without ascites (HR: 0.48, 95% CI 0.24&#x2013;0.93), without HE (HR: 0.43, 95% CI 0.27&#x2013;0.68), with ALT levels &lt; 40 U/L (HR: 0.49, 95% CI 0.28&#x2013;0.85) or &#x2265; 40 U/L (HR: 0.29, 95% CI 0.13&#x2013;0.65), with platelet counts &lt; 80 &#xd7;10<sup>9</sup>/L (HR: 0.39, 95% CI 0.22&#x2013;0.67), and without NA(s) treatment before ETV/TDF (HR: 0.38, 95% CI 0.23&#x2013;0.62), the positive effects of administration of probiotics continued. Although the HR was &lt; 1.0 for most subgroups, statistical significance was not reached in several subgroups, including females (HR: 0.48, 95% CI 0.19&#x2013;1.21), those with HE (HR: 0.24,95% CI 0.05&#x2013;1.16) and platelet counts &#x2265; 80 &#xd7;10<sup>9</sup>/L (HR: 0.46,95% CI 0.25&#x2013;1.00), and those with NA(s) treatment before ETV/TDF (HR: 0.85, 95% CI 0.24&#x2013;2.94).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Multivariable stratified analyses of the association between probiotics use and HCC occurrence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Category</th>
<th valign="top" align="center">Probiotic users</th>
<th valign="top" align="center">Non-probiotic users</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">HCC/Total<break/>(n, %)</th>
<th valign="top" align="center">HCC/Total<break/>(n, %)</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Age (years)</th>
</tr>
<tr>
<td valign="top" align="left">&lt; 50</td>
<td valign="top" align="center">5/180 (2.8%)</td>
<td valign="top" align="center">18/205 (8.8%)</td>
<td valign="top" align="center">0.31 (0.11&#x2013;0.83)</td>
<td valign="top" align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 50</td>
<td valign="top" align="center">22/262 (8.4%)</td>
<td valign="top" align="center">45/237 (18.9%)</td>
<td valign="top" align="center">0.42 (0.25&#x2013;0.69)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">20/301 (6.6%)</td>
<td valign="top" align="center">50/312 (16.0%)</td>
<td valign="top" align="center">0.40 (0.23&#x2013;0.66)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">7/141 (4.9%)</td>
<td valign="top" align="center">13/130 (10.0%)</td>
<td valign="top" align="center">0.48 (0.19&#x2013;1.21)</td>
<td valign="top" align="center">0.122</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Ascites</th>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14/185 (7.6%)</td>
<td valign="top" align="center">37/186 (19.8%)</td>
<td valign="top" align="center">0.36 (0.19&#x2013;0.67)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">13/257 (5.0%)</td>
<td valign="top" align="center">26/256 (10.1%)</td>
<td valign="top" align="center">0.48 (0.24&#x2013;0.93)</td>
<td valign="top" align="center">
<bold>0.032</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">HE</th>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2/26 (7.7%)</td>
<td valign="top" align="center">6/21 (28.5%)</td>
<td valign="top" align="center">0.24 (0.05&#x2013;1.16)</td>
<td valign="top" align="center">0.075</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">25/416 (6.0%)</td>
<td valign="top" align="center">57/421 (13.5%)</td>
<td valign="top" align="center">0.43 (0.27&#x2013;0.68)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">ALT (U/L)</th>
</tr>
<tr>
<td valign="top" align="left">&lt; 40</td>
<td valign="top" align="center">19/245 (7.7%)</td>
<td valign="top" align="center">36/237 (15.2%)</td>
<td valign="top" align="center">0.49 (0.28&#x2013;0.85)</td>
<td valign="top" align="center">
<bold>0.012</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 40</td>
<td valign="top" align="center">8/197 (4.1%)</td>
<td valign="top" align="center">27/205 (13.2%)</td>
<td valign="top" align="center">0.29 (0.13&#x2013;0.65)</td>
<td valign="top" align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Platelet count (&#xd7;10<sup>9</sup>/L)</th>
</tr>
<tr>
<td valign="top" align="left">&lt; 80</td>
<td valign="top" align="center">18/299 (6.0%)</td>
<td valign="top" align="center">43/289 (14.9%)</td>
<td valign="top" align="center">0.39 (0.22&#x2013;0.67)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 80</td>
<td valign="top" align="center">9/143 (6.3%)</td>
<td valign="top" align="center">20/153 (13.1%)</td>
<td valign="top" align="center">0.46 (0.25&#x2013;1.00)</td>
<td valign="top" align="center">0.052</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">NA(s) treatment before ETV/TDF</th>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">5/121 (4.1%)</td>
<td valign="top" align="center">5/104 (4.8%)</td>
<td valign="top" align="center">0.85 (0.24&#x2013;2.94)</td>
<td valign="top" align="center">0.361</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">22/321 (6.8%)</td>
<td valign="top" align="center">58/338 (17.1%)</td>
<td valign="top" align="center">0.38 (0.23&#x2013;0.62)</td>
<td valign="top" align="center">
<bold>&lt; 0.001</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HCC, hepatocellular carcinoma; HE, hepatic encephalopathy; ALT, alanine aminotransferase.NA(s), nucleos(t)ide analogue(s); ETV, entecavir; TDF, tenofovir. Bold values: P &lt; 0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>HCC is commonly associated with cirrhosis, and early detection is an excellent way to enhance patients&#x2019; longevity. The gut microbiota is an essential intestinal ecosystem; its dysbiosis can disrupt intestinal homeostasis and lead to harmful bacterial overgrowth, causing liver fibrosis, cirrhosis, and HCC. Growing evidence suggests that microbial imbalance causes cancer <italic>via</italic> various pathways involving inflammation and immunological dysregulation (<xref ref-type="bibr" rid="B24">Plottel and Blaser, 2011</xref>; <xref ref-type="bibr" rid="B46">Zhang et&#xa0;al., 2020a</xref>). Probiotics are new adjuvant therapies to prevent and reduce the risk of HCC (<xref ref-type="bibr" rid="B40">Wan and El-Nezami, 2018</xref>). Endotoxemia and the number of bacterial species can be reduced by administering <italic>Bifidobacteria</italic> and <italic>Lactobacilli</italic> (<xref ref-type="bibr" rid="B36">Tandon et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B29">Rinc&#xf3;n et&#xa0;al., 2014</xref>). In this study, we observed a significant inverse association between probiotics use and the risk of HCC in patients with HBC on antiviral therapy. Furthermore, the administration of probiotics reduced the incidence of HCC in a dose-dependent manner.</p>
<p>Several studies have found a close association between gut microbiota alterations and HBC and HCC. Studies have shown that probiotics reduce the length of hospital stay, improve portal hypertension and associated complications, and lower inflammatory factors while causing no adverse events (<xref ref-type="bibr" rid="B10">Dhiman et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B29">Rinc&#xf3;n et&#xa0;al., 2014</xref>). Herein, probiotics were found to be an independent protective factor against HCC in patients with HBC. Probiotic use was associated with a significantly lower risk of HCC, regardless of whether PSM was performed (both <italic>P</italic> &lt; 0.001). Additionally, the risk reduction of HCC showed a dose-response relationship in the unmatched and matched cohorts. The uncorrected HR for overall probiotic prescription after PSM was 0.70 (95% CI: 0.59&#x2013;0.83), while the aHR was 0.59 (95% CI: 0.34&#x2013;0.81). With non-probiotics users as controls, the aHRs were 0.58 (95% CI: 0.33&#x2013;1.01), 0.28 (95% CI: 0.14&#x2013;0.56), and 0.12 (95% CI: 0.03&#x2013;0.52) for 28&#x2013;89, 90&#x2013;180, and &gt;180 cDDD, respectively, In a recent study, the high-dose probiotic VSL#3 reduced the risk of lesions in mice as compared to low-dose probiotics or no therapy (<xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2016</xref>), indicating that HCC risk decreased as the cumulative dose of probiotics increased. Therefore, probiotic therapy may improve prognosis by reducing HCC morbidity and mortality.</p>
<p>The association between microbiota and the host plays a crucial role in the pathogenesis of HCC. Altering the composition of the intestinal flora can limit bacterial translocation, promote gut microflora balance, and prevent HCC progression (<xref ref-type="bibr" rid="B47">Zhang et&#xa0;al., 2012b</xref>). Sandler et&#xa0;al. reported that liver disease severity is related to bacterial translocation and overgrowth (<xref ref-type="bibr" rid="B31">Sandler et&#xa0;al., 2011</xref>). In the present study, probiotic users benefited significantly, especially patients with CTP B and C classes. A similar effect of probiotics use was demonstrated in our previous study in patients with cirrhosis (<xref ref-type="bibr" rid="B45">Zhang et&#xa0;al., 2020b</xref>). The MELD score is a parameter of a liver function used to assess the prognosis of patients with cirrhosis (<xref ref-type="bibr" rid="B4">Bernardi et&#xa0;al., 2011</xref>). Probiotics users had a lower HCC risk than non-probiotics users, regardless of MELD score &lt; 10 or &#x2265; 10. However, the statistical difference between the two groups was more pronounced when the MELD score was &#x2265; 10. Preveden et&#xa0;al. previously showed that changes in the gut microflora are affected by liver disease stage (<xref ref-type="bibr" rid="B25">Preveden et&#xa0;al., 2017</xref>). Patients with advanced MELD and CTP scores show greater perturbations in microbial toxins, lipopolysaccharide secretion, and proinflammatory cytokine levels (<xref ref-type="bibr" rid="B27">Rayes et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B28">Rayes et&#xa0;al., 2005</xref>). Therefore, these patients were positively correlated with the benefit.</p>
<p>Probiotic therapy is a novel regimen for chronic liver diseases complicated by gut dysbiosis. Hepatocarcinogenesis is aided by gut microbial dysbiosis. Accumulating evidence has suggested that the gut&#x2013;liver axis plays a key role in the progression of cirrhosis and HCC (<xref ref-type="bibr" rid="B43">Wiest et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Ohtani and Kawada, 2019</xref>). Progress has been made in understanding the relationship between microbiota dysbiosis and carcinogenesis. Several experimental studies have reported that probiotics positively impact hosts (<xref ref-type="bibr" rid="B22">Patel and DuPont, 2015</xref>; <xref ref-type="bibr" rid="B12">Elzouki, 2016</xref>). The mechanism by which probiotics increase HCC risk may be associated with the following: (1) Gut microbiota modulation. The production of short-chain fatty acids (SCFAs) such as butyrate may reverse intestinal dysbiosis and reduce the risk of HCC (<xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2016</xref>). Some studies reported that probiotics prevent carcinogenesis, by producing SCFAs, controlling gut microbiota composition, and improving gut barrier integrity (<xref ref-type="bibr" rid="B14">LeBlanc et&#xa0;al., 2017</xref>). (2) Improvement of gut barrier integrity. Gut bacterial dysbiosis damages the intestinal barrier, promotes bacterial translocation, and, subsequently, induces inflammatory responses (<xref ref-type="bibr" rid="B47">Zhang et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B2">Bajaj et&#xa0;al., 2018</xref>). Probiotics can enhance the intestinal barrier and decrease inflammation, thereby inhibiting HCC progression (<xref ref-type="bibr" rid="B47">Zhang et&#xa0;al., 2012</xref>). (3) Immune regulation and anti-inflammatory role. Gut microbial dysbiosis triggers a pro-inflammatory immune response and cancer progression (<xref ref-type="bibr" rid="B35">Singh et&#xa0;al., 2021</xref>). A study has reported that probiotics promote the growth of beneficial microbes, producing anti-inflammatory metabolites with antitumor activity (<xref ref-type="bibr" rid="B17">Li et&#xa0;al., 2016</xref>). (4) Antimicrobial effect. Bacterial translocation leads to endotoxemia, which results in portal hypertension and liver cell damage, thus contributing to HCC occurrence (<xref ref-type="bibr" rid="B37">Tao et&#xa0;al., 2015</xref>). Probiotics can release antimicrobial molecules, reduce bacterial translocation and overgrowth, and improve endotoxemia (<xref ref-type="bibr" rid="B33">Seki and Schnabl, 2012</xref>; <xref ref-type="bibr" rid="B23">Petschow et&#xa0;al., 2013</xref>). Thus, these possible mechanisms explain how probiotics reduce the risk of HCC in patients with HBC.</p>
<p>To the best of our knowledge, this is the first observational study to investigate the benefits of probiotics in reducing HCC risk in a population-based cohort of patients with HBC on antiviral therapy. However, this study had several limitations. First, this was an observational retrospective study; thus, potential confounding risk factors may have existed. Despite careful PSM, we cannot exclude the possibility of residual confounding resulting from unmeasured variables, such as diet, coffee, duration of antiviral therapy, and course of cirrhosis. Further prospective randomized controlled trials are required to determine the impact of these risk factors on developing HCC. Second, owing to the single-center study design, the number of patients was limited. Large-sample, multicenter studies need to be conducted in the future. Third, due to the cross-use of probiotics during the study period, we could not further compare the efficacy of different probiotics. We will examine the efficacy of different probiotics in preventing HCC in the future. In addition, the side effects of probiotics for patients were difficult to evaluate in this study. Before probiotic therapy is used to prevent HCC in practice, prospective trials should be conducted to assess its efficacy and safety. Lastly, gut microbiota data were not available in our database; therefore, we did not analyze the association between the microbiota population and HCC risk. We are currently conducting a prospective study using metabonomics, transcriptomics, and proteomic analyses to determine the relationship between the microbiome and carcinogenesis.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This study demonstrated that probiotics might reduce the risk of HCC occurrence in patients with HBC in a dose-dependent manner. However, further prospective studies are required to confirm the preventive effects of probiotics against HCC.</p>
</sec>
<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 author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by The Ethical Review Committee of the Beijing Ditan Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>XW and KS conceived and designed the project. KS, QZ, YZ, and YB collected the data. KS and QZ analyzed and interpreted the data. KS drafted the manuscript. YZ, YB, and XZ was responsible for manuscript modification. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Beijing Municipal Science Technology Commission (No. Z191100006619033).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We are grateful to Ting Zhao for her constructive comments in improving the grammar and readability of the paper.</p>
</ack>
<sec id="s10" 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="s11" 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="s12" 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/fcimb.2022.1104399/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2022.1104399/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ALT, alanine aminotransferase; AFP, alpha-fetoprotein; aHR, adjusted hazard ratio; cDDD, cumulative defined daily doses; CTP, Child-Turcotte-Pugh; CIs, con&#xfb01;dence intervals; ETV, entecavir; HE, hepatic encephalopathy; HCC, hepatocellular carcinoma; HBC, hepatitis B-related cirrhosis; HBV, hepatitis B virus; MELD, model for end-stage liver disease; NA(s), nucleos(t)ide analogs; PSM, propensity score matching; SCFAs, short-chain fatty acids; TDF, tenofovir; VR, virological response; WHO, World Health Organization.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Austin</surname> <given-names>P. C.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>An introduction to propensity score methods for reducing the effects of confounding in observational studies</article-title>. <source>Multivariate Behav. Res.</source> <volume>46</volume>, <fpage>399</fpage>&#x2013;<lpage>424</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/00273171.2011.568786</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bajaj</surname> <given-names>J. S.</given-names>
</name>
<name>
<surname>Idilman</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Mabudian</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Hood</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Fagan</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Turan</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Diet affects gut microbiota and modulates hospitalization risk differentially in an international cirrhosis cohort</article-title>. <source>Hepatology</source> <volume>68</volume>, <fpage>234</fpage>&#x2013;<lpage>247</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep.29791</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Balogh</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Victor</surname> <given-names>D.</given-names> <suffix>3rd.</suffix>
</name>
<name>
<surname>Asham</surname> <given-names>E. H.</given-names>
</name>
<name>
<surname>Burroughs</surname> <given-names>S. G.</given-names>
</name>
<name>
<surname>Boktour</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Saharia</surname> <given-names>A.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Hepatocellular carcinoma: A review</article-title>. <source>J. Hepatocell Carcinoma.</source> <volume>3</volume>, <fpage>41</fpage>&#x2013;<lpage>53</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/JHC.S61146</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bernardi</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Gitto</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Biselli</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>The MELD score in patients awaiting liver transplant: strengths and weaknesses</article-title>. <source>J. Hepatol.</source> <volume>54</volume>, <fpage>1297</fpage>&#x2013;<lpage>1306</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhep.2010.11.008</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Botero</surname> <given-names>R. C.</given-names>
</name>
<name>
<surname>Lucey</surname> <given-names>M. R.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Organ allocation: Model for end-stage liver disease, child-Turcotte-Pugh, Mayo risk score, or something else</article-title>. <source>Clin. Liver Dis.</source> <volume>7</volume>, <fpage>715</fpage>&#x2013;<lpage>727</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s1089-3261(03)00052-7</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bray</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Ferlay</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>R. L.</given-names>
</name>
<name>
<surname>Torre</surname> <given-names>L. A.</given-names>
</name>
<name>
<surname>Jemal</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>CA Cancer J. Clin.</source> <volume>68</volume>, <fpage>394</fpage>&#x2013;<lpage>424</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3322/caac.21492</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bruix</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Sherman</surname> <given-names>M.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>American Association for the study of liver diseases. Management of hepatocellular carcinoma: An update</article-title>. <source>Hepatology</source> <volume>53</volume>, <fpage>1020</fpage>&#x2013;<lpage>1022</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep.24199</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chang</surname> <given-names>T. T.</given-names>
</name>
<name>
<surname>Liaw</surname> <given-names>Y. F.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>S. S.</given-names>
</name>
<name>
<surname>Schiff</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Han</surname> <given-names>K. H.</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>C. L.</given-names>
</name>
<etal/>
</person-group>. (<year>2010</year>). <article-title>Long-term entecavir therapy results in the reversal of fibrosis/cirrhosis and continued histological improvement in patients with chronic hepatitis b</article-title>. <source>Hepatology</source> <volume>52</volume>, <fpage>886</fpage>&#x2013;<lpage>893</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep.23785</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Firmicutes and blautia in gut microbiota lessened in chronic liver diseases and hepatocellular carcinoma patients: A pilot study</article-title>. <source>Bioengineered.</source> <volume>12</volume>, <fpage>8233</fpage>&#x2013;<lpage>8246</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/21655979.2021.1982273</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dhiman</surname> <given-names>R. K.</given-names>
</name>
<name>
<surname>Rana</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Agrawal</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Garg</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Chopra</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Thumburuet</surname> <given-names>K. K.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Probiotic VSL3 reduces liver disease severity and hospitalization in patients with cirrhosis: a randomized, controlled trial</article-title>. <source>Gastroenterology.</source> <volume>147</volume>, <fpage>1327</fpage>&#x2013;<lpage>1337.e3</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2014.08.031</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>El-Serag</surname> <given-names>H. B.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Epidemiology of viral hepatitis and hepatocellular carcinoma</article-title>. <source>Gastroenterology</source> <volume>142</volume>, <fpage>1264</fpage>&#x2013;<lpage>1273.e1</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2011.12.061</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Elzouki</surname> <given-names>A. N.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Probiotics and liver disease: Where are we now and where are we going</article-title>? <source>J. Clin. Gastroenterol.</source> <volume>50</volume>, <fpage>suppl 2</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MCG.0000000000000712</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Kakade</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Virk</surname> <given-names>A. K.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>A review on gut remediation of selected environmental contaminants: possible roles of probiotics and gut microbiota</article-title>. <source>Nutrients</source> <volume>11</volume>, <elocation-id>22</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/nu11010022</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>LeBlanc</surname> <given-names>J. G.</given-names>
</name>
<name>
<surname>Chain</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Mart&#xed;n</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Berm&#xfa;dez-Humar&#xe1;n</surname> <given-names>L. G.</given-names>
</name>
<name>
<surname>Courau</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Langella</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Beneficial effects on host energy metabolism of short-chain fatty acids and vitamins produced by commensal and probiotic bacteria</article-title>. <source>Microb. Cell Fact.</source> <volume>16</volume>, <fpage>79</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12934-017-0691-z</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>H. W.</given-names>
</name>
<name>
<surname>Ahn</surname> <given-names>S. H.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Prediction models of hepatocellular carcinoma development in chronic hepatitis b patients</article-title>. <source>World J. Gastroenterol.</source> <volume>22</volume>, <fpage>8314</fpage>&#x2013;<lpage>8321</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3748/wjg.v22.i37.8314</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>D. K.</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>J. Y.</given-names>
</name>
<name>
<surname>Shin</surname> <given-names>H. S.</given-names>
</name>
<name>
<surname>Park</surname> <given-names>I. I.</given-names>
</name>
<name>
<surname>Ha</surname> <given-names>N. J.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Antiviral activity of bifidobacterium adolescentis SPM0212 against hepatitis b virus</article-title>. <source>Arch. Pharm. Res.</source> <volume>36</volume>, <fpage>1525</fpage>&#x2013;<lpage>1532</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12272-013-0141-3</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Sung</surname> <given-names>C. Y.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Ni</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Pihlajam&#xe4;ki</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Panagiotou</surname> <given-names>G.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Probiotics modulated gut microbiota suppresses hepatocellular carcinoma growth in mice</article-title>. <source>Proc. Natl. Acad. Sci. U. S. A.</source> <volume>113</volume>, <fpage>e1306</fpage>&#x2013;<lpage>e1315</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.1518189113</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marcellin</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Gane</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Buti</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Afdhal</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Sievert</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Jacobson</surname> <given-names>I. M.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Regression of cirrhosis during treatment with tenofovir disoproxil fumarate for chronic hepatitis b: A 5-year open-label follow-up study</article-title>. <source>Lancet</source> <volume>381</volume>, <fpage>468</fpage>&#x2013;<lpage>475</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(12)61425-1</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marlicz</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wunsch</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Mydlowska</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Milkiewicz</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Serwin</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Mularczyk</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>The effect of short term treatment with probiotic VSL#3 on various clinical and biochemical parameters in patients with liver cirrhosis</article-title>. <source>J. Physiol. Pharmacol.</source> <volume>67</volume>, <fpage>867</fpage>&#x2013;<lpage>877</lpage>.</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mendoza</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Potential effect of probiotics in the treatment of breast cancer</article-title>. <source>Oncol. Rev.</source> <volume>13</volume>, <elocation-id>422</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.4081/oncol.2019.422</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ohtani</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Kawada</surname> <given-names>N.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Role of the gut-liver axis in liver inflammation, fibrosis, and cancer: A special focus on the gut microbiota relationship</article-title>. <source>Hepatol. Commun.</source> <volume>3</volume>, <fpage>456</fpage>&#x2013;<lpage>470</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep4.1331</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Patel</surname> <given-names>R.</given-names>
</name>
<name>
<surname>DuPont</surname> <given-names>H. L.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>New approaches for bacteriotherapy: prebiotics, new-generation probiotics, and synbiotics</article-title>. <source>Clin. Infect. Dis.</source> <volume>60</volume>, <fpage>s108</fpage>&#x2013;<lpage>s121</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/civ177</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Petschow</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Dor&#xe9;</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hibberd</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Dinan</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Reid</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Blaser</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Probiotics, prebiotics, and the host microbiome: the science of translation</article-title>. <source>Ann. N Y Acad. Sci.</source> <volume>1306</volume>, <fpage>1</fpage>&#x2013;<lpage>17</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/nyas.12303</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Plottel</surname> <given-names>C. S.</given-names>
</name>
<name>
<surname>Blaser</surname> <given-names>M. J.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Microbiome and malignancy</article-title>. <source>Cell Host Microbe</source> <volume>10</volume>, <fpage>324</fpage>&#x2013;<lpage>335</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chom.2011.10.003</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Preveden</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Scarpellini</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Milic</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Luzza</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Abenavoli</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Gut microbiota changes and chronic hepatitis c virus infection</article-title>. <source>Expert Rev. Gastroenterol. Hepatol.</source> <volume>11</volume>, <fpage>813</fpage>&#x2013;<lpage>819</lpage>. doi: <pub-id pub-id-type="doi">10.1080/17474124.2017.1343663</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qin</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Prifti</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Alterations of the human gut microbiome in liver cirrhosis</article-title>. <source>Nature</source> <volume>513</volume>, <fpage>59</fpage>&#x2013;<lpage>64</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature13568</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rayes</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Seehofer</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Hansen</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Boucsein</surname> <given-names>K.</given-names>
</name>
<name>
<surname>M&#xfc;ller</surname> <given-names>A. R.</given-names>
</name>
<name>
<surname>Serke</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2002</year>). <article-title>Early enteral supply of lactobacillus and fiber versus selective bowel decontamination: A controlled trial in liver transplant recipients</article-title>. <source>Transplantation.</source> <volume>74</volume>, <fpage>123</fpage>&#x2013;<lpage>127</lpage>. doi: <pub-id pub-id-type="doi">10.1097/00007890-200207150-00021</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rayes</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Seehofer</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Theruvath</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Schiller</surname> <given-names>R. A.</given-names>
</name>
<name>
<surname>Langrehr</surname> <given-names>J. M.</given-names>
</name>
<name>
<surname>Jonas</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2005</year>). <article-title>Supply of pre- and probiotics reduces bacterial infection rates after liver transplantation-a randomized, double-blind trial</article-title>. <source>Am. J. Transplant.</source> <volume>5</volume>, <fpage>125</fpage>&#x2013;<lpage>130</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1600-6143.2004.00649.x</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rinc&#xf3;n</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Vaquero</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Hernando</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Galindo</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Ripoll</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Puerto</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Oral probiotic VSL3 attenuates the circulatory disturbances of patients with cirrhosis and ascites</article-title>. <source>Liver Int.</source> <volume>34</volume>, <fpage>1504</fpage>&#x2013;<lpage>1512</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/liv.12539</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rusthoven</surname> <given-names>C. G.</given-names>
</name>
<name>
<surname>Jones</surname> <given-names>B. L.</given-names>
</name>
<name>
<surname>Flaig</surname> <given-names>T. W.</given-names>
</name>
<name>
<surname>Crawford</surname> <given-names>E. D.</given-names>
</name>
<name>
<surname>Koshy</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Sher</surname> <given-names>D. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Improved survival with prostate radiation in addition to androgen deprivation therapy for men with newly diagnosed metastatic prostate cancer</article-title>. <source>J. Clin. Oncol.</source> <volume>34</volume>, <fpage>2835</fpage>&#x2013;<lpage>2842</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2016.67.4788</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sandler</surname> <given-names>N. G.</given-names>
</name>
<name>
<surname>Koh</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Roque</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Eccleston</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>R. B.</given-names>
</name>
<name>
<surname>Demino</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>Host response to translocated microbial products predicts outcomes of patients with HBV or HCV infection</article-title>. <source>Gastroenterology</source> <volume>141</volume>, <fpage>1220</fpage>&#x2013;<lpage>1230</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2011.06.063</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sarin</surname> <given-names>S. K.</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Lau</surname> <given-names>G. K.</given-names>
</name>
<name>
<surname>Abbas</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>C. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Asian-Pacific clinical practice guidelines on the management of hepatitis b: A 2015 update</article-title>. <source>Hepatol. Int.</source> <volume>10</volume>, <fpage>1</fpage>&#x2013;<lpage>98</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12072-015-9675-4</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Seki</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Schnabl</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Role of innate immunity and the microbiota in liver fibrosis: Crosstalk between the liver and gut</article-title>. <source>J. Physiol.</source> <volume>590</volume>, <fpage>447</fpage>&#x2013;<lpage>458</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1113/jphysiol.2011.219691</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shiha</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Sarin</surname> <given-names>S. K.</given-names>
</name>
<name>
<surname>Ibrahim</surname> <given-names>A. E.</given-names>
</name>
<name>
<surname>Omata</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Lesmana</surname> <given-names>L. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2009</year>). <article-title>Liver fibrosis: Consensus recommendations of the Asian pacific association for the study of the liver (APASL)</article-title>. <source>Hepatol. Int.</source> <volume>3</volume>, <fpage>323</fpage>&#x2013;<lpage>333</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12072-008-9114-x</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Khan</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Siddique</surname> <given-names>H. R.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Therapeutic implications of probiotics in microbiota dysbiosis: A special reference to the liver and oral cancers</article-title>. <source>Life Sci.</source> <volume>285</volume>, <elocation-id>120008</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.lfs.2021.120008</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tandon</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Moncrief</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Madsen</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Arrieta</surname> <given-names>M. C.</given-names>
</name>
<name>
<surname>Owen</surname> <given-names>R. J.</given-names>
</name>
<name>
<surname>Bain</surname> <given-names>V. G.</given-names>
</name>
<etal/>
</person-group>. (<year>2009</year>). <article-title>Effects of probiotic therapy on portal pressure in patients with cirrhosis: a pilot study</article-title>. <source>Liver Int.</source> <volume>29</volume>, <fpage>1110</fpage>&#x2013;<lpage>1115</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1478-3231.2009.02020.x</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tao</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Gut microbiota and hepatocellular carcinoma</article-title>. <source>Gastrointest. Tumors</source> <volume>2</volume>, <fpage>33</fpage>&#x2013;<lpage>40</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000380895</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Thilakarathna</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Rupasinghe</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Ridgway</surname> <given-names>N. D.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Mechanisms by which probiotic bacteria attenuate the risk of hepatocellular carcinoma</article-title>. <source>Int. J. Mol. Sci.</source> <volume>22</volume>, <elocation-id>2606</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms22052606</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tian</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>M. J.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>M. Q.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>B. W.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>J. C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Staple line lockstitch reinforcement decreases clinically relevant pancreatic fistula following distal pancreatectomy: Results of a propensity score matched retrospective analysis</article-title>. <source>Front. Oncol.</source> <volume>21</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2022.999002</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wan</surname> <given-names>M. L. Y.</given-names>
</name>
<name>
<surname>El-Nezami</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Targeting gut microbiota in hepatocellular carcinoma: Probiotics as a novel therapy</article-title>. <source>Hepatobiliary Surg. Nutr.</source> <volume>7</volume>, <fpage>11</fpage>&#x2013;<lpage>20</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.21037/hbsn.2017.12.07</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="book">
<person-group person-group-type="author">
<collab>WHO Collaborating Center for Drugs Statistics Methodology</collab>
</person-group> (<year>2003</year>). <source>ATC Index with DDDs 2003</source> (<publisher-loc>Oslo</publisher-loc>: <publisher-name>WHO</publisher-name>).</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wiesner</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Edwards</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Freeman</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Harper</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Kamath</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2003</year>). <article-title>Model for end-stage liver disease (MELD) and allocation of donor livers</article-title>. <source>Gastroenterology</source> <volume>124</volume>, <fpage>91</fpage>&#x2013;<lpage>96</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/gast.2003.50016</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wiest</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Albillos</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Trauner</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Bajaj</surname> <given-names>J. S.</given-names>
</name>
<name>
<surname>Jalan</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Targeting the gut-liver axis in liver disease</article-title>. <source>J. Hepatol.</source> <volume>67</volume>, <fpage>1084</fpage>&#x2013;<lpage>1103</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhep.2017.05.007</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yu</surname> <given-names>A. Q.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>The potential role of probiotics in cancer prevention and treatment</article-title>. <source>Nutr. Cancer.</source> <volume>68</volume>, <fpage>535</fpage>&#x2013;<lpage>544</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/01635581.2016.1158300</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>b). <article-title>Protective effect of probiotics against esophagogastric variceal rebleeding in patients with liver cirrhosis after endoscopic therapy</article-title>. <source>Med. Sci. Monit.</source> <volume>26</volume>, <elocation-id>e924040</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.12659/MSM.924040</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Ericsson</surname> <given-names>A. C.</given-names>
</name>
</person-group> (<year>2020</year>a). <article-title>The potential gut microbiota-mediated treatment options for liver cancer</article-title>. <source>Front. Oncol.</source> <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2020.524205</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>H. L.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>L. X.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2012</year>). <article-title>Profound impact of gut homeostasis on chemically-induced pro-tumorigenic inflammation and hepatocarcinogenesis in rats</article-title>. <source>J. Hepatol.</source> <volume>57</volume>, <fpage>803</fpage>&#x2013;<lpage>812</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jhep.2012.06.011</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>