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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">MCO-0-0-02336</article-id>
<article-id pub-id-type="doi">10.3892/mco.2021.2336</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of &#x03B1;-fetoprotein is a predictive marker for hepatocarcinogenesis in long-term observation of patients with chronic liver disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tabu</surname><given-names>Kazuaki</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Mawatari</surname><given-names>Seiichi</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
<xref rid="c1-mco-0-0-02336" ref-type="corresp"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Oda</surname><given-names>Kohei</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Taniyama</surname><given-names>Ohki</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Toyodome</surname><given-names>Ai</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ijuin</surname><given-names>Sho</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Sakae</surname><given-names>Haruka</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kumagai</surname><given-names>Kotaro</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kanmura</surname><given-names>Shuji</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ido</surname><given-names>Akio</given-names></name>
<xref rid="af1-mco-0-0-02336" ref-type="aff"/>
</contrib>
</contrib-group>
<aff id="af1-mco-0-0-02336">Digestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima 890-8544, Japan</aff>
<author-notes>
<corresp id="c1-mco-0-0-02336"><italic>Correspondence to:</italic> Dr Seiichi Mawatari, Digestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima 890-8544, Japan <email>mawatari@m2.kufm.kagoshima-u.ac.jp</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>09</month>
<year>2021</year></pub-date>
<pub-date pub-type="epub">
<day>29</day>
<month>06</month>
<year>2021</year></pub-date>
<volume>15</volume>
<issue>3</issue>
<elocation-id>174</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>04</month>
<year>2020</year></date>
<date date-type="accepted">
<day>03</day>
<month>06</month>
<year>2021</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Tabu et al.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of &#x03B1;-fetoprotein (hs-AFP-L3) is a specific marker for hepatocellular carcinoma (HCC) and has been reliable in cases with a low serum &#x03B1;-fetoprotein (AFP) level. However, the biomarkers that contribute to hepatocarcinogenesis during the long-term observation are not yet clear. The present study reported the clinical utility of hs-AFP-L3 in the long-term observation of patients with chronic liver disease. The subjects were 106 patients with chronic liver disease without HCC or a history of HCC treatment and who had been followed for &#x003E;12 months. hs-AFP-L3 was measured using cryopreserved serum. The factors contributing to hepatocarcinogenesis were examined using univariate and multivariate analyses. The median observation period was 88 months (15-132 months). The cumulative incidence of HCC was 10.5&#x0025; at 5 years and 19.6&#x0025; at 10 years. The univariate analysis revealed that age &#x2265;55 years old, platelet count &#x2264;13.1x10<sup>4</sup>/&#x00B5;l, hyaluronic acid &#x2265;80.8 ng/ml, alanine transaminase &#x2265;47 U/l, AFP &#x2265;6.3 ng/ml, hs-AFP-L3 &#x2265;3.5&#x0025; and des-&#x03B3;-carboxy prothrombin (DCP) &#x2265;25 mAU/ml were significant factors. In the multivariate analysis, platelet count &#x2264;13.1x10<sup>4</sup>/&#x00B5;l &#x005B;hazard ratio (HR), 4.966; 95&#x0025; confidence interval (CI), 1.597-15.437; P=0.006&#x005D; and hs-AFP-L3 &#x2265;3.5&#x0025; (HR, 5.450; 95&#x0025; CI, 1.522-19.512; P=0.009) were extracted as significant factors contributing to hepatocarcinogenesis. In addition, for cases with AFP &#x003C;20 ng/ml, a multivariate analysis revealed that hs-AFP-L3 &#x2265;4.9&#x0025; (HR, 11.608; 95&#x0025; CI, 2.422-55.629; P=0.002) and DCP &#x2265;25 mAU/ml (HR, 3.936; 95&#x0025; CI, 1.088-14.231; P=0.037) were significant factors contributing to hepatocarcinogenesis. hs-AFP-L3 is a useful marker for predicting hepatocarcinogenesis in the long-term observation of patients with chronic liver disease.</p>
</abstract>
<kwd-group>
<kwd>&#x03B1;-fetoprotein</kwd>
<kwd>hepatocellular carcinoma</kwd>
<kwd>highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of &#x03B1;-fetoprotein</kwd>
<kwd>hepatocarcinogenesis</kwd>
<kwd>chronic liver disease</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Liver cancer is the sixth-most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide (<xref rid="b1-mco-0-0-02336" ref-type="bibr">1</xref>). Hepatocellular carcinoma (HCC) accounts for 90&#x0025; of primary liver cancers, and hepatitis B virus (HBV) and hepatitis C virus (HCV) infection as well as alcohol consumption and non-alcoholic steatohepatitis (NASH) are known risk factors (<xref rid="b2-mco-0-0-02336 b3-mco-0-0-02336 b4-mco-0-0-02336" ref-type="bibr">2-4</xref>).</p>
<p>The early detection of HCC by regular surveillance may lead to curative treatment and improve the prognosis (<xref rid="b5-mco-0-0-02336" ref-type="bibr">5</xref>). Several methods developed for the diagnosis of HCC, including the evaluation of serum markers, ultrasonography (US), computed tomography (CT), and magnetic resonance imaging (MRI), have been tested clinically. Among these methods, US is simple with a low invasiveness, but its accuracy depends on the skill of the examiner. Contrast-enhanced CT and MRI are useful for the diagnosis but are invasive. The most widely used markers are &#x03B1;-fetoprotein (AFP) and des-&#x03B3; carboxy prothrombin (DCP), serum proteins that are elevated in HCC. Although routine screening offers the best chance for early tumor detection, the reported sensitivities and specificities of elevated serum AFP and DCP levels vary significantly (<xref rid="b6-mco-0-0-02336 b7-mco-0-0-02336 b8-mco-0-0-02336 b9-mco-0-0-02336 b10-mco-0-0-02336 b11-mco-0-0-02336 b12-mco-0-0-02336" ref-type="bibr">6-12</xref>).</p>
<p>In 2009, the highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP (hs-AFP-L3) assay was developed, and AFP-L3 measurement became possible, even in cases with AFP &#x003C;20 ng/ml (<xref rid="b13-mco-0-0-02336" ref-type="bibr">13</xref>). However, biomarkers that contribute to hepatocarcinogenesis during the long-term observation of patients with chronic liver disease are still unclear. We previously examined the clinical utility of hs-AFP-L3 in patients with chronic liver disease (<xref rid="b9-mco-0-0-02336" ref-type="bibr">9</xref>). Seven years have passed since that study, so we examined the clinical utility of hs-AFP-L3 in a long-term observation.</p>
</sec>
<sec sec-type="Materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study population</title>
<p>Frozen serum samples were collected from 117 patients with chronic liver disease without HCC who visited our hospital between December 1, 2006, and March 31, 2011. The analysis was performed on 106 patients, excluding those who had been treated for HCC, those who had been under observation for less than 12 months, and those who were taking warfarin tablets (<xref rid="f1-mco-0-0-02336" ref-type="fig">Fig. 1</xref>). In most patients with chronic hepatitis, liver imaging with US was performed every 6 to 12 months, and in patients with cirrhosis, CT, MRI, or US was performed every 3 to 6 months. The definitive diagnosis of HCC that occurred during follow-up was made by interventional radiology CT (IVR-CT). HBV was defined as Hepatitis B surface antigen (HBsAg) positivity. HCV was defined as anti-HCV antibody positivity.</p>
</sec>
<sec>
<title>Measurement of serum AFP and hs-AFP-L3</title>
<p>AFP and hs-AFP-L3 levels were measured using the cryopreserved serum. Hs-AFP-L3 was measured by microchip capillary electrophoresis and a liquid-phase binding assay on a &#x00B5;-TASWako i30 automatic analyzer (Wako Pure Chemical Industries, Ltd.) (<xref rid="b13-mco-0-0-02336" ref-type="bibr">13</xref>). When hs-AFP-L3 was not detectable, the percentage of hs-AFP-L3 was defined as 0&#x0025;.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>First, we considered the correlation between the hs-AFP-L3 level and other clinical data. In addition, the presence of HCC as of March 31, 2018, was confirmed, and the ability to predict hepatocarcinogenesis using liver tumor markers was compared using a receiver operating characteristic (ROC) curve. Finally, we investigated the factors contributing to hepatocarcinogenesis using univariate and multivariate analyses. The cut-off value was set to an optimal value using the Youden index (sensitivity + specificity-1) (<xref rid="b14-mco-0-0-02336" ref-type="bibr">14</xref>).</p>
<p>Statistical analyses were performed using the SPSS statistical software program, version 25 (IBM Corp.). Categorical data were compared using the chi-squared test and Fisher&#x0027;s exact test, as appropriate. Continuous variables were analyzed using the Mann-Whitney U test. The correlation coefficient was tested using Spearman&#x0027;s rank correlation coefficient or Pearson&#x0027;s correlation coefficient. The Kaplan-Meier method was used to estimate cumulative incidence rate of HCC, and its distribution curves were compared using the log-rank test. P-values of &#x003C;0.05 were considered to indicate statistical significance. Factors contributing to hepatocarcinogenesis were determined using Cox&#x0027;s proportional hazards model with forward selection using P&#x003C;0.10 as a cut-off for inclusion in the model.</p>
</sec>
</sec>
</sec>
<sec sec-type="Results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Clinical feature of patients</title>
<p>The clinical characteristics of the population analyzed are shown (<xref rid="tI-mco-0-0-02336" ref-type="table">Table I</xref>). The causes of chronic liver disease were HBV in 23 cases, HCV in 60 cases, and non-HBV and non-HCV in 23 cases, of which 17 were liver cirrhosis. The median observation period was 88 months (15-132 months). The AFP value in the analysis subject population was 27.1&#x00B1;119.3 ng/ml, and the hs-AFP-L3 value was 2.9&#x00B1;5.3&#x0025;.</p>
</sec>
<sec>
<title>Correlation between hs-AFP-L3 and clinical data</title>
<p>We confirmed the correlation between hs-AFP-L3 and other clinical data. Hs-AFP-L3 showed a positive correlation with the age, alanine transaminase (ALT), hyaluronic acid, and AFP and a negative correlation with the platelet count and albumin (<xref rid="tII-mco-0-0-02336" ref-type="table">Table IIA</xref>). In a study of 90 patients with AFP &#x003C;20 ng/ml, hs-AFP-L3 showed a positive correlation with the age, hyaluronic acid, and AFP and a negative correlation with the platelet count (<xref rid="tII-mco-0-0-02336" ref-type="table">Table IIB</xref>).</p>
</sec>
<sec>
<title>Cumulative incidence of HCC</title>
<p>The presence of HCC as of March 31, 2018, was confirmed, and 17 out of 106 patients (16.0&#x0025;) were found to have developed HCC. Cumulative incidence of HCC development was 10.5&#x0025; at 5 years and 19.6&#x0025; at 10 years (<xref rid="f2-mco-0-0-02336" ref-type="fig">Fig. 2</xref>). The clinical characteristics of hepatocarcinogenesis cases are shown in <xref rid="tIII-mco-0-0-02336" ref-type="table">Tables III</xref> and <xref rid="tIV-mco-0-0-02336" ref-type="table">IV</xref>. In the background comparison between the non-carcinogenic group and the carcinogenic group, the age (P=0.009), AFP (P&#x003C;0.001), hs-AFP-L3 (P&#x003C;0.001), platelet count (P&#x003C;0.001), ALT (P=0.018), albumin (P=0.023), and hyaluronic acid (P&#x003C;0.001) differed significantly (<xref rid="tIV-mco-0-0-02336" ref-type="table">Table IV</xref>).</p>
</sec>
<sec>
<title>Predictive ability for hepatocarcinogenesis</title>
<p>On comparing the predictive ability for hepatocarcinogenesis using an ROC curve, the cut-off value of hs-AFP-L3 was 3.5&#x0025;, and the sensitivity, specificity, and the area under the ROC curve (AUC) were 82.4, 73.0&#x0025;, and 0.800, respectively. Similarly, the cut-off value of AFP was 6.3 ng/ml, and the sensitivity, specificity, and AUC were 82.4, 75.3&#x0025;, and 0.833, respectively. The cut-off value of DCP was 25 mAU/ml, and the sensitivity, specificity, and AUC were 35.3, 93.3&#x0025;, and 0.507, respectively (<xref rid="f3-mco-0-0-02336" ref-type="fig">Fig. 3A</xref>). The ability of hs-AFP-L3 and AFP to predict HCC development was higher than that of DCP. In the analysis of 90 patients with AFP &#x003C;20 ng/ml, the cut-off value of hs-AFP-L3 was 4.9&#x0025;, and the sensitivity, specificity, and AUC were 80.0, 85.0&#x0025;, and 0.812, respectively. Similarly, the cut-off value of AFP was 4.6 ng/ml, and the sensitivity, specificity, and AUC were 80.0, 75.0&#x0025;, and 0.844, respectively. The cut-off value of DCP was 25 mAU/ml, and the sensitivity, specificity, and AUC were 40.0&#x0025;, 95.0&#x0025;, and 0.616, respectively (<xref rid="f3-mco-0-0-02336" ref-type="fig">Fig. 3B</xref>). In patients with AFP &#x003C;20 ng/ml, the ability of hs-AFP-L3 and AFP to predict HCC development was higher than that of DCP.</p>
</sec>
<sec>
<title>Factors contributing to hepatocarcinogenesis</title>
<p>An examination of the factors contributing to hepatocarcinogenesis according to a univariate analysis showed that age &#x2265;55 years old (P=0.016), platelet count &#x2264;13.1x10<sup>4</sup>/&#x00B5;l (P=0.001), hyaluronic acid &#x2265;80.8 ng/ml (P&#x003C;0.001), ALT &#x2265;47 U/l (P=0.008), AFP &#x2265;6.3 ng/ml (P&#x003C;0.001), hs-AFP-L3 &#x2265;3.5&#x0025; (P&#x003C;0.001), DCP &#x2265;25 mAU/ml (P=0.002) were significant factors. In the multivariate analysis, the platelet count &#x2264;13.1x10<sup>4</sup>/&#x00B5;l (hazard ratio &#x005B;HR&#x005D;=4.966, 95&#x0025; confidence interval &#x005B;CI&#x005D; 1.597-15.437, P=0.006) and hs-AFP-L3 &#x2265;3.5&#x0025; (HR=5.450, 95&#x0025; CI 1.522-19.512, P=0.009) were extracted as significant factors contributing to hepatocarcinogenesis (<xref rid="tV-mco-0-0-02336" ref-type="table">Table V</xref>). In addition, in patients with AFP &#x003C;20 ng/ml, the univariate analysis showed that age &#x2265;64 years old (P=0.005), liver cirrhosis (P=0.047), platelet count &#x2264;13.1x10<sup>4</sup>/&#x00B5;l (P=0.002), hyaluronic acid &#x2265;67.7 ng/ml (P=0.010), ALT &#x2265;47 U/l (P=0.037), AFP &#x2265;4.6 ng/ml (P=0.002), hs-AFP-L3 &#x2265;4.9&#x0025; (P&#x003C;0.001), DCP &#x2265;25 mAU/ml (P=0.003) were significant factors. In the multivariate analysis, hs-AFP-L3 &#x2265;4.9&#x0025; (HR=11.608, 95&#x0025; CI 2.422-55.629, P=0.002) and DCP &#x2265;25 mAU/ml (HR=3.936, 95&#x0025; CI 1.088-14.231, P=0.037) were extracted as significant factors contributing to hepatocarcinogenesis (<xref rid="tVI-mco-0-0-02336" ref-type="table">Table VI</xref>).</p>
</sec>
<sec>
<title>Comparison of cumulative incidence of HCC by hs-AFP-L3</title>
<p>The cumulative incidence of HCC was significantly higher in patients with hs-AFP-L3 &#x2265;3.5&#x0025; than in those with hs-AFP-L3 &#x003C;3.5&#x0025; (24.7&#x0025; at 5 years, 40.0&#x0025; at 10 years vs. 1.6&#x0025; at 5 years, 6.8&#x0025; at 10 years, P&#x003C;0.001) (<xref rid="f4-mco-0-0-02336" ref-type="fig">Fig. 4A</xref>). In addition, in cases of AFP &#x003C;20 ng/ml, the cumulative incidence of HCC was significantly higher in patients with hs-AFP-L3 &#x2265;4.9&#x0025; than in those with hs-AFP-L3 &#x003C;4.9&#x0025; (24.6&#x0025; at 5 years, 39.7&#x0025; at 10 years vs. 1.5&#x0025; at 5 years, 3.6&#x0025; at 10 years, P&#x003C;0.001) (<xref rid="f4-mco-0-0-02336" ref-type="fig">Fig. 4B</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="Discussion">
<title>Discussion</title>
<p>Recent advances in imaging technology have enabled the early detection of HCC (<xref rid="b15-mco-0-0-02336 b16-mco-0-0-02336 b17-mco-0-0-02336" ref-type="bibr">15-17</xref>), so low AFP cases often result in a diagnosis of hepatocarcinogenesis. In the present study, it was found that 10 of 17 patients with AFP &#x003C;20 ng/ml (58.8&#x0025;) had hepatocarcinogenic on long-term follow-up. In our previous study, we found that hs-AFP-L3 was a useful marker for predicting hepatocarcinogenesis, but the observation period averaged 32.8 months, and the examination was made by a univariate analysis (<xref rid="b9-mco-0-0-02336" ref-type="bibr">9</xref>). In the present study, after a long-term observation, we performed a multivariate analysis of factors associated with the development of HCC and revealed that hs-AFP-L3 was the best predictive marker for hepatocarcinogenesis. It was found to be particularly useful in cases with AFP &#x003C;20 ng/ml.</p>
<p>AFP is a glycoprotein with a molecular weight of 67 kDa that was first reported in human fetal serum by Bergstrand and Czar (<xref rid="b18-mco-0-0-02336" ref-type="bibr">18</xref>) in 1956. AFP is elevated in patients with HCC but also in the active phases of chronic hepatitis and cirrhosis as well as in AFP-producing tumors other than liver cancer (<xref rid="b19-mco-0-0-02336" ref-type="bibr">19</xref>). The sugar chains of AFP differ depending on the producing cell, and the L3 fraction is specific for HCC in terms of its affinity for lentil lectin (<xref rid="b20-mco-0-0-02336 b21-mco-0-0-02336 b22-mco-0-0-02336 b23-mco-0-0-02336 b24-mco-0-0-02336" ref-type="bibr">20-24</xref>). However, measurement of AFP-L3 has not always been reliable for serum samples with a low total AFP concentration, as determined by conventional lectin affinity system (LiBASys) (<xref rid="b25-mco-0-0-02336" ref-type="bibr">25</xref>). The highly sensitive AFP-L3 measurement method uses an on-chip electrokinetic reaction and separation by affinity electrophoresis (micro-total analysis system; &#x00B5;-TAS) (<xref rid="b26-mco-0-0-02336" ref-type="bibr">26</xref>). This system has enabled the accurate measurement of AFP-L3 at very low AFP concentrations.</p>
<p>In a previous report on the prediction of hepatocarcinogenesis, Kumada <italic>et al</italic> (<xref rid="b22-mco-0-0-02336" ref-type="bibr">22</xref>) conducted a study of 104 patients with hepatocarcinogenesis and 104 controls matched by propensity scores in HCC surveillance involving 2,830 patients with chronic liver disease. One year before the diagnosis of HCC, the cut-off value of hs-AFP-L3 was 7&#x0025;, and the sensitivity and specificity were 34.3 and 74.7&#x0025;, respectively. Similarly, with cut-off values of AFP 20 ng/ml and DCP 40 mAU/ml, the respective sensitivity was 35.0 and 12.1&#x0025;, and the respective specificity was 86.4 and 93.9&#x0025; (<xref rid="b22-mco-0-0-02336" ref-type="bibr">22</xref>). In the present study, the best cut-off values of hs-AFP-L3, AFP, and DCP for predicting HCC were 3.5&#x0025;, 6.3 ng/ml, and 25 mAU/ml, respectively, with respective sensitivities of 82.4, 82.4 and 35.3&#x0025; and respective specificities of 73.0, 75.3, and 93.3&#x0025;. Similarly, in patients with AFP &#x003C;20 ng/ml, the best cut-off values of hs-AFP-L3, AFP, and DCP were 4.9&#x0025;, 4.6 ng/ml and 25 mAU/ml, respective, with respective sensitivities of 80.0, 80.0 and 40.0&#x0025; and respective specificities of 85.0, 75.0 and 95.0&#x0025;. In this way, our findings differed from those of previous reports. This discrepancy is attributed to differences in the study design, as the previous report used stored sera collected annually for three years before the diagnosis of HCC. In addition, the median observation period in our study was 88 months (15 to 132 months), which was longer than in the previous study.</p>
<p>In this study, 11 out of 17 cases of hepatocarcinogenesis developed HCC more than 4 years after the test, and 9 out of 11 cases (81.8&#x0025;) had hs-AFP-L3 &#x2265;3.5&#x0025;. The doubling time of HCC is reported to be 100 days, and it theoretically takes about 9 years for a 10-&#x00B5;m HCC to become a 10-mm lesion, which can be detected by diagnostic imaging (<xref rid="b27-mco-0-0-02336" ref-type="bibr">27</xref>). In other words, the involvement of hs-AFP-L3 in hepatocarcinogenesis several years later may indicate the presence of minute HCC.</p>
<p>However, in hepatitis C patients treated with interferon, the hepatocarcinogenesis rate decreases after achieving a sustained virologic response (SVR), and AFP values after antiviral therapy are known to be independent predictors of hepatocarcinogenesis (<xref rid="b28-mco-0-0-02336" ref-type="bibr">28</xref>,<xref rid="b29-mco-0-0-02336" ref-type="bibr">29</xref>). In addition, it has been reported that serum <italic>Wisteria floribunda</italic> agglutinin positive Mac-2 binding protein (WFA<sup>+</sup>M2BP), a liver fibrosis marker that has recently been clinically applied, becomes a risk factor for hepatocarcinogenesis after achieving an SVR of hepatitis C (<xref rid="b30-mco-0-0-02336" ref-type="bibr">30</xref>,<xref rid="b31-mco-0-0-02336" ref-type="bibr">31</xref>). Direct-acting antivirals (DAAs) have been developed for HCV, and virus elimination by DAA reportedly suppresses hepatocarcinogenesis (<xref rid="b32-mco-0-0-02336" ref-type="bibr">32</xref>,<xref rid="b33-mco-0-0-02336" ref-type="bibr">33</xref>). The usefulness of measuring the hs-AFP-L3 value before and after DAA therapy is unclear at present and needs to be clarified in the future.</p>
<p>The study is limited by its retrospective nature and the small number of cases.</p>
<p>In conclusion, hs-AFP-L3 is a useful marker for predicting hepatocarcinogenesis in the long-term observation of patients with chronic liver disease.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank Ms. Hiromi Eguchi, Ms. Yuko Nakamura and Ms. Eriko Koreeda (all Digestive and Lifestyle Diseases, Department of Human and Environmental Sciences, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan) for their technical assistance and data management.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>KT, SM, KO, KK and AI conceived the study. KT, SM, KO, OT, AT, SI, HS, KK and SK contributed the acquisition of data. KT and SM confirm the authenticity of all the raw data. KT and SM analyzed the data and prepared the manuscript. KT, SM and AI reviewed the manuscript. KT, SM, KO, OT, AT, SI, HS, KK, SK and AI have been involved in revising the manuscript critically for important intellectual content and agreed to be accountable for all aspects of the work. All authors read and approved the final manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The study protocol conformed to the ethical guidelines of the Declaration of Helsinki and was approved by the Kagoshima University Ethics Committee on Epidemiological Studies (approval no. 180162; Kagoshima, Japan). Written informed consent was obtained from all patients for the use of stored serum samples.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
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</back>
<floats-group>
<fig id="f1-mco-0-0-02336" position="float">
<label>Figure 1</label>
<caption><p>Schematic representation of the patient selection process.</p></caption>
<graphic xlink:href="mco-15-03-02336-g00.tif" />
</fig>
<fig id="f2-mco-0-0-02336" position="float">
<label>Figure 2</label>
<caption><p>Cumulative incidence rate of HCC in the present study population (n=106). HCC, hepatocellular carcinoma.</p></caption>
<graphic xlink:href="mco-15-03-02336-g01.tif" />
</fig>
<fig id="f3-mco-0-0-02336" position="float">
<label>Figure 3</label>
<caption><p>Comparison of the predictive ability for hepatocarcinogenesis using an ROC curve. (A) ROC curve of hs-AFP-L3, AFP and DCP in the analysis target population (n=106). (B) ROC curve of hs-AFP-L3, AFP and DCP in patients with AFP &#x003C;20 ng/ml (n=90). ROC, receiver operating characteristic; AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3; carboxy prothrombin; AUC, area under the curve.</p></caption>
<graphic xlink:href="mco-15-03-02336-g02.tif" />
</fig>
<fig id="f4-mco-0-0-02336" position="float">
<label>Figure 4</label>
<caption><p>Comparison of the cumulative incidence rate of HCC by hs-AFP-L3. (A) In the analysis target population (n=106), the cumulative incidence of HCC was significantly higher in patients with hs-AFP-L3 &#x2265;3.5&#x0025; than in those with hs-AFP-L3 &#x003C;3.5&#x0025; (log-rank test P&#x003C;0.001). (B) In patients with AFP &#x003C;20 ng/ml (n=90), the cumulative incidence of HCC was significantly higher in patients with hs-AFP-L3 &#x2265;4.9&#x0025; than in those with hs-AFP-L3 &#x003C;4.9&#x0025; (log-rank test P&#x003C;0.001). HCC, hepatocellular carcinoma; AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP.</p></caption>
<graphic xlink:href="mco-15-03-02336-g03.tif" />
</fig>
<table-wrap id="tI-mco-0-0-02336" position="float">
<label>Table I</label>
<caption><p>Clinical features of patients with benign liver disease (n=106).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age<sup><xref rid="tfn1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, years</td>
<td align="center" valign="middle">57.5 (11-82)</td>
</tr>
<tr>
<td align="left" valign="middle">Sex (male/female), n</td>
<td align="center" valign="middle">38/68</td>
</tr>
<tr>
<td align="left" valign="middle">CH/LC, n</td>
<td align="center" valign="middle">89/17</td>
</tr>
<tr>
<td align="left" valign="middle">Etiology (HBV/HCV/NBNC), n</td>
<td align="center" valign="middle">23/60/23</td>
</tr>
<tr>
<td align="left" valign="middle">Child-Pugh class (A/B/C/unknown), n</td>
<td align="center" valign="middle">83/3/2/18</td>
</tr>
<tr>
<td align="left" valign="middle">AFP<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, ng/ml</td>
<td align="center" valign="middle">27.1&#x00B1;119.3</td>
</tr>
<tr>
<td align="left" valign="middle">hs-AFP-L3<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, &#x0025;</td>
<td align="center" valign="middle">2.9&#x00B1;5.3</td>
</tr>
<tr>
<td align="left" valign="middle">DCP<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, mAU/ml</td>
<td align="center" valign="middle">18&#x00B1;8</td>
</tr>
<tr>
<td align="left" valign="middle">Platelet count<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, x10<sup>4</sup>/&#x00B5;l</td>
<td align="center" valign="middle">16.4&#x00B1;7.2</td>
</tr>
<tr>
<td align="left" valign="middle">ALT<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, U/l</td>
<td align="center" valign="middle">79&#x00B1;121</td>
</tr>
<tr>
<td align="left" valign="middle">Total bilirubin<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, mg/dl</td>
<td align="center" valign="middle">1.0&#x00B1;0.6</td>
</tr>
<tr>
<td align="left" valign="middle">Albumin<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, g/dl</td>
<td align="center" valign="middle">4.2&#x00B1;0.5</td>
</tr>
<tr>
<td align="left" valign="middle">Hyaluronic acid<sup><xref rid="tfn2-mco-0-0-02336" ref-type="table-fn">b</xref></sup>, ng/ml</td>
<td align="center" valign="middle">175.7&#x00B1;444.6</td>
</tr>
<tr>
<td align="left" valign="middle">Observation period<sup><xref rid="tfn1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, months</td>
<td align="center" valign="middle">88 (15-132)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mco-0-0-02336"><p><sup>a</sup>Median (min-max).</p></fn>
<fn id="tfn2-mco-0-0-02336"><p><sup>b</sup>Mean &#x00B1; SD. CH, chronic hepatitis; LC, liver cirrhosis; HBV, hepatitis B virus; HCV, hepatitis C virus; NBNC, HBV(-) and HCV(-); AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3;-carboxy prothrombin; ALT, alanine transaminase.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-mco-0-0-02336" position="float">
<label>Table II</label>
<caption><p>Association between highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP and clinical data.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" colspan="9">A, Correlation with highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP (n=106)</th>
</tr>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Age<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">ALT<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">Hyaluronic acid<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">AFP<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">DCP<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">Plt<sup><xref rid="tfna2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></th>
<th align="center" valign="middle">Albumin<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle">T-Bil<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Correlation coefficient</td>
<td align="center" valign="middle">0.232</td>
<td align="center" valign="middle">0.262</td>
<td align="center" valign="middle">0.479</td>
<td align="center" valign="middle">0.724</td>
<td align="center" valign="middle">-0.080</td>
<td align="center" valign="middle">-0.256</td>
<td align="center" valign="middle">-0.354</td>
<td align="center" valign="middle">0.163</td>
</tr>
<tr>
<td align="left" valign="middle">P-value</td>
<td align="center" valign="middle">0.017</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.418</td>
<td align="center" valign="middle">0.008</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.096</td>
</tr>
<tr>
<td align="left" valign="middle">n</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">106</td>
<td align="center" valign="middle">101</td>
<td align="center" valign="middle">105</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="9">B, Correlation with highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP (n=90; AFP &#x003C;20 ng/ml)</td>
</tr>
<tr>
<td align="left" valign="middle">Variable</td>
<td align="center" valign="middle">Age<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">ALT<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">Hyaluronic acid<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">AFP<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">DCP<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">Plt<sup><xref rid="tfna2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
<td align="center" valign="middle">Albumin<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="middle">T-Bil<sup><xref rid="tfna1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Correlation coefficient</td>
<td align="center" valign="middle">0.269</td>
<td align="center" valign="middle">0.164</td>
<td align="center" valign="middle">0.352</td>
<td align="center" valign="middle">0.666</td>
<td align="center" valign="middle">-0.159</td>
<td align="center" valign="middle">-0.282</td>
<td align="center" valign="middle">-0.211</td>
<td align="center" valign="middle">-0.011</td>
</tr>
<tr>
<td align="left" valign="middle">P-value</td>
<td align="center" valign="middle">0.010</td>
<td align="center" valign="middle">0.123</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">0.134</td>
<td align="center" valign="middle">0.007</td>
<td align="center" valign="middle">0.052</td>
<td align="center" valign="middle">0.922</td>
</tr>
<tr>
<td align="left" valign="middle">n</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">90</td>
<td align="center" valign="middle">85</td>
<td align="center" valign="middle">89</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna1-mco-0-0-02336"><p><sup>a</sup>Spearman&#x0027;s rank correlation coefficient.</p></fn>
<fn id="tfna2-mco-0-0-02336"><p><sup>b</sup>Pearson&#x0027;s correlation coefficient. AFP, &#x03B1;-fetoprotein; ALT, alanine transaminase; DCP, des-&#x03B3;-carboxy prothrombin; Plt, platelet count; T-Bil, total bilirubin.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-mco-0-0-02336" position="float">
<label>Table III</label>
<caption><p>Characterization of 17 patients with benign liver disease who developed HCC.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Case no.</th>
<th align="center" valign="middle">Age, years</th>
<th align="center" valign="middle">Sex</th>
<th align="center" valign="middle">CH/LC</th>
<th align="center" valign="middle">Etiology</th>
<th align="center" valign="middle">AFP, ng/ml</th>
<th align="center" valign="middle">hs-AFP-L3, &#x0025;</th>
<th align="center" valign="middle">DCP, mAU/ml</th>
<th align="center" valign="middle">ALT, U/l</th>
<th align="center" valign="middle">Months until HCC detection</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">1</td>
<td align="center" valign="middle">60</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">LC</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">28.5</td>
<td align="center" valign="middle">9.6</td>
<td align="center" valign="middle">32</td>
<td align="center" valign="middle">65</td>
<td align="center" valign="middle">8</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">70</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">LC</td>
<td align="left" valign="middle">NBNC</td>
<td align="center" valign="middle">10.9</td>
<td align="center" valign="middle">8.4</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">12</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">65</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">3.3</td>
<td align="center" valign="middle">&#x003C;0.5</td>
<td align="center" valign="middle">26</td>
<td align="center" valign="middle">82</td>
<td align="center" valign="middle">20</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="center" valign="middle">69</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">4.7</td>
<td align="center" valign="middle">6.4</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">52</td>
<td align="center" valign="middle">22</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="center" valign="middle">70</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">8.3</td>
<td align="center" valign="middle">7.0</td>
<td align="center" valign="middle">15</td>
<td align="center" valign="middle">48</td>
<td align="center" valign="middle">31</td>
</tr>
<tr>
<td align="left" valign="middle">6</td>
<td align="center" valign="middle">56</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">46.9</td>
<td align="center" valign="middle">4.5</td>
<td align="center" valign="middle">5</td>
<td align="center" valign="middle">98</td>
<td align="center" valign="middle">43</td>
</tr>
<tr>
<td align="left" valign="middle">7</td>
<td align="center" valign="middle">73</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">11.4</td>
<td align="center" valign="middle">7.3</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">54</td>
<td align="center" valign="middle">49</td>
</tr>
<tr>
<td align="left" valign="middle">8</td>
<td align="center" valign="middle">59</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">32.0</td>
<td align="center" valign="middle">3.7</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">116</td>
<td align="center" valign="middle">53</td>
</tr>
<tr>
<td align="left" valign="middle">9</td>
<td align="center" valign="middle">52</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HBV</td>
<td align="center" valign="middle">23.6</td>
<td align="center" valign="middle">7.1</td>
<td align="center" valign="middle">10</td>
<td align="center" valign="middle">489</td>
<td align="center" valign="middle">56</td>
</tr>
<tr>
<td align="left" valign="middle">10</td>
<td align="center" valign="middle">73</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">LC</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">9.6</td>
<td align="center" valign="middle">6.6</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">71</td>
<td align="center" valign="middle">57</td>
</tr>
<tr>
<td align="left" valign="middle">11</td>
<td align="center" valign="middle">70</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HBV</td>
<td align="center" valign="middle">24.3</td>
<td align="center" valign="middle">8.4</td>
<td align="center" valign="middle">13</td>
<td align="center" valign="middle">30</td>
<td align="center" valign="middle">62</td>
</tr>
<tr>
<td align="left" valign="middle">12</td>
<td align="center" valign="middle">53</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">6.4</td>
<td align="center" valign="middle">5.2</td>
<td align="center" valign="middle">29</td>
<td align="center" valign="middle">145</td>
<td align="center" valign="middle">64</td>
</tr>
<tr>
<td align="left" valign="middle">13</td>
<td align="center" valign="middle">66</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">10.0</td>
<td align="center" valign="middle">5.8</td>
<td align="center" valign="middle">19</td>
<td align="center" valign="middle">122</td>
<td align="center" valign="middle">65</td>
</tr>
<tr>
<td align="left" valign="middle">14</td>
<td align="center" valign="middle">57</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">7.8</td>
<td align="center" valign="middle">7.9</td>
<td align="center" valign="middle">45</td>
<td align="center" valign="middle">52</td>
<td align="center" valign="middle">81</td>
</tr>
<tr>
<td align="left" valign="middle">15</td>
<td align="center" valign="middle">53</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">LC</td>
<td align="left" valign="middle">NBNC</td>
<td align="center" valign="middle">3.7</td>
<td align="center" valign="middle">&#x003C;0.5</td>
<td align="center" valign="middle">53</td>
<td align="center" valign="middle">22</td>
<td align="center" valign="middle">82</td>
</tr>
<tr>
<td align="left" valign="middle">16</td>
<td align="center" valign="middle">62</td>
<td align="left" valign="middle">Male</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">23.0</td>
<td align="center" valign="middle">7.5</td>
<td align="center" valign="middle">35</td>
<td align="center" valign="middle">72</td>
<td align="center" valign="middle">82</td>
</tr>
<tr>
<td align="left" valign="middle">17</td>
<td align="center" valign="middle">66</td>
<td align="left" valign="middle">Female</td>
<td align="center" valign="middle">CH</td>
<td align="left" valign="middle">HCV</td>
<td align="center" valign="middle">576.0</td>
<td align="center" valign="middle">3.1</td>
<td align="center" valign="middle">8</td>
<td align="center" valign="middle">126</td>
<td align="center" valign="middle">87</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>HCC, hepatocellular carcinoma; CH, chronic hepatitis; LC, liver cirrhosis; HBV, hepatitis B virus; HCV, hepatitis C virus; NBNC, HBV(-) and HCV(-); AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3;-carboxy prothrombin; ALT, alanine transaminase.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-mco-0-0-02336" position="float">
<label>Table IV</label>
<caption><p>Clinical features of patients in the non-carcinogenic and carcinogenic groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Non-carcinogenic group (n=89)</th>
<th align="center" valign="middle">Carcinogenic group (n=17)</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, years</td>
<td align="center" valign="middle">54&#x00B1;15</td>
<td align="center" valign="middle">63&#x00B1;7</td>
<td align="center" valign="middle">0.009<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Sex (male/female), n</td>
<td align="center" valign="middle">32/57</td>
<td align="center" valign="middle">6/11</td>
<td align="center" valign="middle">0.958<sup><xref rid="tfnb3-mco-0-0-02336" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">CH/LC, n</td>
<td align="center" valign="middle">76/13</td>
<td align="center" valign="middle">13/4</td>
<td align="center" valign="middle">0.468<sup><xref rid="tfnb4-mco-0-0-02336" ref-type="table-fn">d</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Etiology (HBV/HCV/NBNC), n</td>
<td align="center" valign="middle">21/47/21</td>
<td align="center" valign="middle">2/13/2</td>
<td align="center" valign="middle">0.197<sup><xref rid="tfnb3-mco-0-0-02336" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Child-Pugh class (A/B/C/unknown), n</td>
<td align="center" valign="middle">68/2/2/17</td>
<td align="center" valign="middle">15/1/0/1</td>
<td align="center" valign="middle">0.428<sup><xref rid="tfnb3-mco-0-0-02336" ref-type="table-fn">c</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">AFP<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, ng/ml</td>
<td align="center" valign="middle">22.9&#x00B1;116.1</td>
<td align="center" valign="middle">48.8&#x00B1;136.4</td>
<td align="center" valign="middle">&#x003C;0.001<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">hs-AFP-L3<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, &#x0025;</td>
<td align="center" valign="middle">2.4&#x00B1;5.5</td>
<td align="center" valign="middle">5.8&#x00B1;2.8</td>
<td align="center" valign="middle">&#x003C;0.001<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">DCP<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, mAU/ml</td>
<td align="center" valign="middle">17&#x00B1;6</td>
<td align="center" valign="middle">21&#x00B1;14</td>
<td align="center" valign="middle">0.928<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Platelet count<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, x10<sup>4</sup>/&#x00B5;l</td>
<td align="center" valign="middle">17.5&#x00B1;7.1</td>
<td align="center" valign="middle">10.7&#x00B1;4.9</td>
<td align="center" valign="middle">&#x003C;0.001<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">ALT<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, U/l</td>
<td align="center" valign="middle">75&#x00B1;123</td>
<td align="center" valign="middle">99&#x00B1;107</td>
<td align="center" valign="middle">0.018<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Total bilirubin<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, mg/dl</td>
<td align="center" valign="middle">1.0&#x00B1;0.6</td>
<td align="center" valign="middle">0.9&#x00B1;0.4</td>
<td align="center" valign="middle">0.585<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Albumin<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, g/dl</td>
<td align="center" valign="middle">4.2&#x00B1;0.5</td>
<td align="center" valign="middle">4.0&#x00B1;0.5</td>
<td align="center" valign="middle">0.023<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Hyaluronic acid<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, ng/ml</td>
<td align="center" valign="middle">172.6&#x00B1;483.2</td>
<td align="center" valign="middle">191.6&#x00B1;110.9</td>
<td align="center" valign="middle">&#x003C;0.001<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
<tr>
<td align="left" valign="middle">Observation period<sup><xref rid="tfnb1-mco-0-0-02336" ref-type="table-fn">a</xref></sup>, months</td>
<td align="center" valign="middle">84&#x00B1;32</td>
<td align="center" valign="middle">98&#x00B1;18</td>
<td align="center" valign="middle">0.060<sup><xref rid="tfnb2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfnb1-mco-0-0-02336"><p><sup>a</sup>Mean &#x00B1; SD.</p></fn>
<fn id="tfnb2-mco-0-0-02336"><p><sup>b</sup>Mann-Whitney U test.</p></fn>
<fn id="tfnb3-mco-0-0-02336"><p><sup>c</sup>&#x03C7;<sup>2</sup> test.</p></fn>
<fn id="tfnb4-mco-0-0-02336"><p><sup>d</sup>Fisher&#x0027;s exact test. CH, chronic hepatitis; LC, liver cirrhosis; HBV, hepatitis B virus; HCV, hepatitis C virus; NBNC, HBV(-) and HCV(-); AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3;-carboxy prothrombin; ALT, alanine transaminase.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-mco-0-0-02336" position="float">
<label>Table V</label>
<caption><p>Factors contributing to hepatocarcinogenesis (n=106).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">&#x00A0;</th>
<th align="center" valign="middle">Univariate analysis<sup><xref rid="tfnc1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle" colspan="3">Multivariate analysis<sup><xref rid="tfnc2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></th>
</tr>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">Hazard ratio</th>
<th align="center" valign="middle">95&#x0025; CI</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (&#x003C;55 vs. &#x2265;55 years)</td>
<td align="center" valign="middle">0.016</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Sex (female vs. male)</td>
<td align="center" valign="middle">0.978</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Background liver (CH vs. LC)</td>
<td align="center" valign="middle">0.128</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Total bilirubin (&#x003C;0.6 vs. &#x2265;0.6 mg/dl)</td>
<td align="center" valign="middle">0.212</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Albumin (&#x003E;4.4 vs. &#x2264;4.4 g/dl)</td>
<td align="center" valign="middle">0.113</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Platelet count (&#x003E;13.1 vs. &#x2264;13.1x10<sup>4</sup>/&#x00B5;l)</td>
<td align="center" valign="middle">0.001</td>
<td align="center" valign="middle">4.966</td>
<td align="center" valign="middle">1.597-15.437</td>
<td align="center" valign="middle">0.006</td>
</tr>
<tr>
<td align="left" valign="middle">Hyaluronic acid (&#x003C;80.8 vs. &#x2265;80.8 ng/ml)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">ALT (&#x003C;47 vs. &#x2265;47 U/l)</td>
<td align="center" valign="middle">0.008</td>
<td align="center" valign="middle">3.019</td>
<td align="center" valign="middle">0.841-10.836</td>
<td align="center" valign="middle">0.090</td>
</tr>
<tr>
<td align="left" valign="middle">AFP (&#x003C;6.3 vs. &#x2265;6.3 ng/ml)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">hs-AFP-L3 (&#x003C;3.5 vs. &#x2265;3.5&#x0025;)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">5.450</td>
<td align="center" valign="middle">1.522-19.512</td>
<td align="center" valign="middle">0.009</td>
</tr>
<tr>
<td align="left" valign="middle">DCP (&#x003C;25 vs. &#x2265;25 mAU/ml)</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfnc1-mco-0-0-02336"><p><sup>a</sup>Log-rank test.</p></fn>
<fn id="tfnc2-mco-0-0-02336"><p><sup>b</sup>Cox proportional hazards model. ALT, alanine transaminase; AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3;-carboxy prothrombin; CH, chronic hepatitis; LC, liver cirrhosis; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tVI-mco-0-0-02336" position="float">
<label>Table VI</label>
<caption><p>Factors contributing to hepatocarcinogenesis (n=90; AFP &#x003C;20 ng/ml).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">&#x00A0;</th>
<th align="center" valign="middle">Univariate analysis<sup><xref rid="tfnd1-mco-0-0-02336" ref-type="table-fn">a</xref></sup></th>
<th align="center" valign="middle" colspan="3">Multivariate analysis<sup><xref rid="tfnd2-mco-0-0-02336" ref-type="table-fn">b</xref></sup></th>
</tr>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">P-value</th>
<th align="center" valign="middle">Hazard ratio</th>
<th align="center" valign="middle">95&#x0025; CI</th>
<th align="center" valign="middle">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age (&#x003C;64 vs. &#x2265;64 years)</td>
<td align="center" valign="middle">0.005</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Sex (female vs. male)</td>
<td align="center" valign="middle">0.844</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Background liver (CH vs. LC)</td>
<td align="center" valign="middle">0.047</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Total bilirubin (&#x003C;1.2 vs. &#x2265;1.2 mg/dl)</td>
<td align="center" valign="middle">0.218</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Albumin (&#x003E;4.4 vs. &#x2264;4.4 g/dl)</td>
<td align="center" valign="middle">0.119</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Platelet count (&#x003E;13.1 vs. &#x2264;13.1x10<sup>4</sup>/&#x00B5;l)</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">Hyaluronic acid (&#x003C;67.7 vs. &#x2265;67.7 ng/ml)</td>
<td align="center" valign="middle">0.010</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">ALT (&#x003C;47 vs. &#x2265;47 U/l)</td>
<td align="center" valign="middle">0.037</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">AFP (&#x003C;4.6 vs. &#x2265;4.6 ng/ml)</td>
<td align="center" valign="middle">0.002</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
<td align="center" valign="middle">&#x00A0;</td>
</tr>
<tr>
<td align="left" valign="middle">hs-AFP-L3 (&#x003C;4.9 vs. &#x2265;4.9&#x0025;)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
<td align="center" valign="middle">11.608</td>
<td align="center" valign="middle">2.422-55.629</td>
<td align="center" valign="middle">0.002</td>
</tr>
<tr>
<td align="left" valign="middle">DCP (&#x003C;25 vs. &#x2265;25 mAU/ml)</td>
<td align="center" valign="middle">0.003</td>
<td align="center" valign="middle">3.936</td>
<td align="center" valign="middle">1.088-14.231</td>
<td align="center" valign="middle">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfnd1-mco-0-0-02336"><p><sup>a</sup>Log-rank test.</p></fn>
<fn id="tfnd2-mco-0-0-02336"><p><sup>b</sup>Cox proportional hazards model. ALT, alanine transaminase; AFP, &#x03B1;-fetoprotein; hs-AFP-L3, highly sensitive <italic>Lens culinaris</italic> agglutinin-reactive fraction of AFP; DCP, des-&#x03B3;-carboxy prothrombin; CH, chronic hepatitis; LC, liver cirrhosis; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
