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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mol. Biosci.</journal-id>
<journal-title>Frontiers in Molecular Biosciences</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mol. Biosci.</abbrev-journal-title>
<issn pub-type="epub">2296-889X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1074277</article-id>
<article-id pub-id-type="doi">10.3389/fmolb.2022.1074277</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Molecular Biosciences</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Hepatocellular carcinoma risk-stratification based on ASGR1 in circulating epithelial cells for cancer interception</article-title>
<alt-title alt-title-type="left-running-head">Roa-Colomo et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmolb.2022.1074277">10.3389/fmolb.2022.1074277</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Roa-Colomo</surname>
<given-names>Amparo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2081300/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>L&#xf3;pez Garrido</surname>
<given-names>Mar&#xed;a &#xc1;ngeles</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Molina-Vallejo</surname>
<given-names>Pilar</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rojas</surname>
<given-names>Angela</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sanchez</surname>
<given-names>Mercedes Gonz&#xe1;lez</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aranda-Garc&#xed;a</surname>
<given-names>Violeta</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Salmeron</surname>
<given-names>Javier</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Romero-Gomez</surname>
<given-names>Manuel</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/35808/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Muntane</surname>
<given-names>Jordi</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/333967/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Padillo</surname>
<given-names>Javier</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alamo</surname>
<given-names>Jose Mar&#xed;a</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lorente</surname>
<given-names>Jose A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Serrano</surname>
<given-names>Mar&#xed;a Jos&#xe9;</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
<xref ref-type="aff" rid="aff13">
<sup>13</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1051091/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Garrido-Navas</surname>
<given-names>M. Carmen</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1277299/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Clinical Medicine and Public Health Doctoral Program</institution>, <institution>University of Granada</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Gastroenterology and Hepatology Department</institution>, <institution>San Cecilio University Hospital</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Gastroenterology and Hepatology Department</institution>, <institution>Virgen De Las Nieves University Hospital</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Genyo-Centro Pfizer-Universidad De Granada-Junta De Andaluc&#xed;a De Gen&#xf3;mica e Investigaci&#xf3;n Oncol&#xf3;gica</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Seliver Group</institution>, <institution>Institute of Biomedicine of Seville (IBiS)/ Hospital Universitario Virgen Del Roc&#xed;o/CSIC/Universidad De Sevilla</institution>, <addr-line>Seville</addr-line>, <country>Spain</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Spanish Network for Biomedical Research in Hepatic and Digestive Diseases (CIBERehd)</institution>, <institution>Carlos III Health Institute (ISCIII)</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Statistician at Fundaci&#xf3;n para la Investigaci&#xf3;n Biosanitaria Andaluc&#xed;a Oriental Alejandro Otero (FIBAO)</institution>, <institution>Hospital Virgen de las Nieves</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Institute of Biomedicine of Seville (IBiS)</institution>, <institution>Hospital University Virgen del Roc&#xed;o/CSIC/University of Seville</institution>, <addr-line>Seville</addr-line>, <country>Spain</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Department of Medical Physiology and Biophysics</institution>, <institution>University of Seville</institution>, <addr-line>Seville</addr-line>, <country>Spain</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>General and Gastrointestinal Surgery Division</institution>, <institution>Virgen del Roc&#xed;o University Hospital</institution>, <addr-line>Sevilla</addr-line>, <country>Spain</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Legal Medicine Department</institution>, <institution>Medicine School</institution>, <institution>University of Granada</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Comprehensive Oncology Division</institution>, <institution>Clinical University Hospital</institution>, <institution>Virgen de las Nieves-IBS</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<aff id="aff13">
<sup>13</sup>
<institution>Department of Pathological Anatomy</institution>, <institution>Faculty of Medicine</institution>, <institution>University of Granada</institution>, <addr-line>Granada</addr-line>, <country>Spain</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/279404/overview">Umberto Malapelle</ext-link>, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1831208/overview">Abilash Gangula</ext-link>, University of Missouri, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/530016/overview">Dirk Roggenbuck</ext-link>, Brandenburg University of Technology Cottbus-Senftenberg, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/767225/overview">Francesco Pepe</ext-link>, University of Naples Federico II, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Mar&#xed;a Jos&#xe9; Serrano, <email>mjose.serrano@genyo.es</email>; M. Carmen Garrido-Navas, <email>carmen.garrido@genyo.es</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Molecular Diagnostics and Therapeutics, a section of the journal Frontiers in Molecular Biosciences</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1074277</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Roa-Colomo, L&#xf3;pez Garrido, Molina-Vallejo, Rojas, Sanchez, Aranda-Garc&#xed;a, Salmeron, Romero-Gomez, Muntane, Padillo, Alamo, Lorente, Serrano and Garrido-Navas.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Roa-Colomo, L&#xf3;pez Garrido, Molina-Vallejo, Rojas, Sanchez, Aranda-Garc&#xed;a, Salmeron, Romero-Gomez, Muntane, Padillo, Alamo, Lorente, Serrano and Garrido-Navas</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>
<p>
<bold>Purpose:</bold> Lack of diagnostic and prognostic biomarkers in hepatocellular carcinoma impedes stratifying patients based on their risk of developing cancer. The aim of this study was to evaluate phenotypic and genetic heterogeneity of circulating epithelial cells (CECs) based on asialoglycoprotein receptor 1 (ASGR1) and miR-122-5p expression as potential diagnostic and prognostic tools in patients with hepatocellular carcinoma (HCC) and liver cirrhosis (LC).</p>
<p>
<bold>Methods:</bold> Peripheral blood samples were extracted from LC and HCC patients at different disease stages. CECs were isolated using positive immunomagnetic selection. Genetic and phenotypic characterization was validated by double immunocytochemistry for cytokeratin (CK) and ASGR1 or by <italic>in situ</italic> hybridization with miR-122-5p and CECs were visualized by confocal microscopy.</p>
<p>
<bold>Results:</bold> The presence of CECs increased HCC risk by 2.58-fold, however, this was only significant for patients with previous LC (<italic>p</italic> &#x3d; 0.028) and not for those without prior LC (<italic>p</italic> &#x3d; 0.23). Furthermore, the number of CECs lacking ASGR1 expression correlated significantly with HCC incidence and absence of miR-122-5p expression (<italic>p</italic> &#x3d; 0.014; <italic>r</italic> &#x3d; 0.23). Finally, overall survival was significantly greater for patients at earlier cancer stages (<italic>p</italic> &#x3d; 0.018), but this difference was only maintained in the group with the presence of CECs (<italic>p</italic> &#x3d; 0.021) whereas progression-free survival was influenced by the absence of ASGR1 expression.</p>
<p>
<bold>Conclusion:</bold> Identification and characterization of CECs by ASGR1 and/or miR-122-5p expression may be used as a risk-stratification tool in LC patients, as it was shown to be an independent prognostic and risk-stratification marker in LC and early disease stage HCC patients.</p>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>liver cirrhosis</kwd>
<kwd>circulating tumor cells</kwd>
<kwd>precision medicine</kwd>
<kwd>cancer interception</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>Liver cancer affected more than 900,000 individuals worldwide in 2020 and the estimated incidence is expected to rise to 1.4 million individuals in 2040 (<xref ref-type="bibr" rid="B4">Cancer Tomorrow, 2022</xref>). Hepatocellular carcinoma (HCC) is the most common liver cancer, accounting for 75%&#x2013;85% of all primary liver tumors (<xref ref-type="bibr" rid="B43">Sung et al., 2021</xref>). The risk of HCC is known to be increased by external factors (such as excessive alcohol consumption, viral infections, aflatoxin exposure) inducing liver inflammation and hepatic fibrosis progression; however, the impact of internal factors (beyond fatty liver disease) increasing the risk of developing HCC is still poorly studied (<xref ref-type="bibr" rid="B16">Forner et al., 2018</xref>). The known HCC risk factors promote liver cirrhosis (LC), which is usually a prior finding in 80% HCC patients (<xref ref-type="bibr" rid="B29">Llovet et al., 2021</xref>). In fact, 2%&#x2013;5% of cirrhotic patients will develop HCC annually (<xref ref-type="bibr" rid="B14">Fateen and Ryder, 2017</xref>), so surveillance by liver ultrasound screening is performed in LC for early diagnosis of HCC (<xref ref-type="bibr" rid="B16">Forner et al., 2018</xref>; <xref ref-type="bibr" rid="B34">Reig et al., 2021</xref>). Unfortunately, curative treatments (based on surgery or liver transplant) are available in less than 60% of cases due to late diagnosis (<xref ref-type="bibr" rid="B3">Cadier et al., 2017</xref>). There is an absence of tissue biopsies because diagnosis of HCC in LC patients is mainly based on dynamic imaging tests, what reduces the ability to molecularly characterize the tumor (<xref ref-type="bibr" rid="B34">Reig et al., 2021</xref>). In addition to imaging tests, serum markers such as alpha-fetoprotein (AFP) that is linked to the evolutionary stage of the tumor, have been used for diagnosis and prognosis of HCC (<xref ref-type="bibr" rid="B14">Fateen and Ryder, 2017</xref>). However, the fact that 1) AFP may be elevated in chronic hepatitis without HCC (<xref ref-type="bibr" rid="B15">Force et al., 2022</xref>) 2) many small-sized HCCs have normal AFP levels (<xref ref-type="bibr" rid="B5">Carr et al., 2018</xref>), 3) 30% of HCC patients have normal AFP levels at diagnosis (<xref ref-type="bibr" rid="B27">Lee et al., 2019</xref>) and 4) high AFP levels were found in HCC-free individuals (<xref ref-type="bibr" rid="B26">Kobeisy et al., 2012</xref>), highlights the lack of sensitivity and specificity of this marker (<xref ref-type="bibr" rid="B2">Bialecki and di Bisceglie, 2005</xref>). Although AFP levels greater than 400&#xa0;ng/ml are considered diagnostic of HCC as well as a marker of bad prognosis marker (<xref ref-type="bibr" rid="B2">Bialecki and di Bisceglie, 2005</xref>), it is not recommended to use AFP as a sole marker for HCC surveillance (<xref ref-type="bibr" rid="B19">Hanif et al., 2022</xref>) and the combination with other blood-based biomarkers is suggested to improve HCC diagnosis (<xref ref-type="bibr" rid="B50">Wang and Zhang, 2020</xref>).</p>
<p>Liquid biopsies have the potential to improve sensitivity/specificity as they are non-invasive, represent better the tumor heterogeneity and can be used to monitor disease evolution. The most widely studied type of liquid biopsy with demonstrated clinical utility are Circulating Tumor Cells or CTCs. The evaluation of CTCs in terms of occurrence, cell count and phenotypic characterization has demonstrated its prognostic value in several solid tumors, including lung (<xref ref-type="bibr" rid="B1">Bayarri-Lara et al., 2016</xref>), (<xref ref-type="bibr" rid="B10">de Miguel-P&#xe9;rez et al., 2019</xref>), breast (<xref ref-type="bibr" rid="B31">Nadal et al., 2013</xref>), (<xref ref-type="bibr" rid="B54">Ye et al., 2019</xref>) and colorectal (<xref ref-type="bibr" rid="B11">Delgado-Ure&#xf1;a et al., 2018</xref>) cancers. With respect to HCC, several meta-analyses demonstrated the diagnostic and prognostic utility of detecting CTCs (<xref ref-type="bibr" rid="B12">Fan et al., 2015</xref>), (<xref ref-type="bibr" rid="B42">Sun et al., 2017</xref>), (<xref ref-type="bibr" rid="B9">Cui et al., 2020</xref>), although different isolation and detection technologies may undermine their clinical utility. Isolation methodologies based on EpCAM such as CellSearch<sup>&#xae;</sup> are widely used, although elevated EpCAM expression levels were only found in metastatic HCC lesions compared to primary and vascular invaded tumor (<xref ref-type="bibr" rid="B45">Tsuchiya et al., 2019</xref>). Furthermore, elevated EpCAM expression levels were also linked to poor prognosis (<xref ref-type="bibr" rid="B40">Shimada et al., 2019</xref>). Thus, using alternative methodologies for CTC isolation, such as those based on size (<xref ref-type="bibr" rid="B49">Wang et al., 2018</xref>), (<xref ref-type="bibr" rid="B33">Qi et al., 2018</xref>) or including other biomarkers such as glypican-3 (<xref ref-type="bibr" rid="B8">Court et al., 2018</xref>) among others could overcome CellSearch<sup>&#xae;</sup> limitations. However, <xref ref-type="bibr" rid="B49">Wang et al. (2018)</xref> reported lack of correlation between CTCs and recurrence after liver transplantation even though CTCs were detected in more than two-thirds of HCC patients. This suggests that not only improvements for CTC isolation are needed, but also that CTC characterization might be useful for diagnostic and prognostic purposes. Furthermore, presence of Circulating Epithelial Cells (CECs) in patients with pre-malignant diseases such as chronic obstructive pulmonary disease (COPD) had prognostic and diagnostic value (<xref ref-type="bibr" rid="B35">Romero-Palacios et al., 2019</xref>) in the context of Cancer Interception (<xref ref-type="bibr" rid="B38">Serrano et al., 2020</xref>), although it has been poorly studied in the context of liver cirrhosis (<xref ref-type="bibr" rid="B7">Chen et al., 2020</xref>). In fact, in most studies including LC patients, CTCs/CECs were not detected (<xref ref-type="bibr" rid="B47">Vona et al., 2004</xref>) or reported percentages were very low (<xref ref-type="bibr" rid="B44">Takahashi et al., 2021</xref>), possibly due to either patient selection or isolation methodology.</p>
<p>One liver-specific biomarker used to isolate CTCs from HCC patients is the asialoglycoprotein receptor 1 (ASGR1) (<xref ref-type="bibr" rid="B28">Li et al., 2014</xref>; <xref ref-type="bibr" rid="B8">Court et al., 2018</xref>), that represents the human lectin subunit 1 of the asialoglycoprotein receptor. ASGR1 heterodimerizes with ASGR2 (human lectin subunit 2) to produce a transmembrane protein primarily present in sinusoidal and basolateral hepatocellular membranes. The main role of ASGR1 is to bind galactosyl residues, facilitating glycoproteins turnover (<xref ref-type="bibr" rid="B30">Muramatsu, 2007</xref>). In fact, it was recently studied in the context of cardiovascular diseases (<xref ref-type="bibr" rid="B53">Xie et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Wang et al., 2022a</xref>) demonstrating that its inhibition reduces hypercholesterolemia and atherosclerosis (<xref ref-type="bibr" rid="B53">Xie et al., 2021</xref>) by increasing cholesterol excretion (<xref ref-type="bibr" rid="B48">Wang et al., 2022a</xref>). In the context of liver cancer, the role of ASGR1 as tumor suppressor was first suggested <italic>via</italic> its interaction with LASS2 (longevity assurance homolog 2 of yeast LAG1) (<xref ref-type="bibr" rid="B18">Gu et al., 2016</xref>) and more recently by its association with DNA methylation (<xref ref-type="bibr" rid="B55">Zhu et al., 2022</xref>), confirming the prior findings of loss of ASGR1 expression in HCC tissue (<xref ref-type="bibr" rid="B39">Shi et al., 2013</xref>; <xref ref-type="bibr" rid="B52">Witzigmann et al., 2016</xref>). Another potential biomarker of HCC is miR-122-5p, a microRNA involved in multiple physiological processes in the liver that was found to suppress cell proliferation and malignant transformation of hepatocytes (<xref ref-type="bibr" rid="B21">Hu et al., 2012</xref>). Downregulation of miR-122-5p in HCC patients as well as HCC-derived cell lines was demonstrated together with an inverse correlation with cyclin G1 expression (<xref ref-type="bibr" rid="B17">Gramantieri et al., 2007</xref>) and upregulation of miR-122-5p was shown to repress the epithelial to mesenchymal transition (EMT) through the WNT/&#x3b2;-cadherin signaling pathway <italic>via</italic> Snail 1/2 (<xref ref-type="bibr" rid="B23">Jin et al., 2017</xref>). In plasma, miR-122-5p together with other four miRNAs were described as a diagnostic tool (<xref ref-type="bibr" rid="B24">Jin et al., 2019</xref>) and recently, its prognostic role was demonstrated when survival of HCC patients was greater in those with higher miR-122-5p expression (<xref ref-type="bibr" rid="B51">Wang et al., 2022b</xref>).</p>
<p>In this proof-of-concept study, we evaluated the potential diagnostic and prognostic role of circulating epithelial cells (CECs) using an isolation methodology based on immunomagnetic selection with cytokeratins 7/8 (CK) followed by ASGR1 and miR-122-5p characterization in a cohort of patients suffering from LC, with and without subsequent HCC.</p>
</sec>
<sec id="s2">
<title>2 Material and methods</title>
<sec id="s2-1">
<title>2.1 Study design and sample collection</title>
<p>This prospective cohort study included 113 patients aged between 32 and 86 years suffering from hepatocellular carcinoma (HCC, <italic>N</italic> &#x3d; 71) or cancer-free liver cirrhosis (LC; <italic>N</italic> &#x3d; 42). Inclusion criterion for cirrhotic patients was diagnosis of LC by dynamic imaging tests (computerized axial tomography and/or magnetic resonance imaging). Tumor staging for HCC patients followed the BCLC (Barcelona Clinic Liver Cancer) classification (<xref ref-type="bibr" rid="B16">Forner et al., 2018</xref>). All patients were aged over 18 and had no other liver disease beyond liver cirrhosis and/or HCC (exclusion criteria). For analytical purposes, the HCC cohort was divided into those diagnosed at an earlier stage (eHCC &#x3d; BCLC 0-A; <italic>N</italic> &#x3d; 30) and those diagnosed at a later stage (aHCC &#x3d; BCLC B-C-D; <italic>N</italic> &#x3d; 41). Of the 30 eHCC patients, only 11 were subjected to liver transplant. Patients were recruited between 2017 and 2020 at the Gastroenterology and Hepatology Units of three Andalusian University hospitals: San Cecilio (Granada), Virgen de las Nieves (Granada) and Virgen del Rocio (Seville). Informed consent was obtained from all patients before blood extraction and the study protocol was approved by the Hospital&#xb4;s Ethics Committee following the ethical guidelines of the 1975 Declaration of Helsinki. Not signing the informed consent and not fulfilling the inclusion criteria were exclusion criteria. Samples were anonymized upon blood collection to ensure patients&#x2019; privacy and clinicians involved in the project updated the database for clinical information. Patients&#x2019; clinical and pathological characteristics are shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Risk factors for HCC. Abbreviations are: HCC, hepatocellular carcinoma; n, number of individuals; SD, standard deviation; Dx, diagnosis; INR, international normalized ratio; AFP, alpha-fetoprotein; HCV, hepatitis C virus; CEC, circulating epithelial cells; IQ, interquartile; CK, cytokeratin; ASGR1, asialoglycoprotein receptor 1. For quantitative analyses <italic>t</italic>-student and Mann-Whitney tests were used depending on data normality. For qualitative data, Chi-Square was used except for those cases with less than 20% of the data with lower than 5 expected frequencies, in which case, Fisher test was used. <italic>p</italic> values are: &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001 and &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.05. Bold is the mean for each value as a whole.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="left">HCC-free <italic>N</italic> &#x3d; 42</th>
<th align="left">HCC-affected <italic>N</italic> &#x3d; 71</th>
<th align="left">
<italic>p</italic> values</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex [<italic>n</italic> (%)]</td>
<td align="left"/>
<td align="left"/>
<td rowspan="3" align="left">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">16 (38.1%)</td>
<td align="left">7 (9.9%)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">26 (61.9%)</td>
<td align="left">64 (90.1%)</td>
</tr>
<tr>
<td align="left">Age (mean &#xb1; SD, years)</td>
<td align="left">
<bold>66 &#xb1; 9</bold>
</td>
<td align="left">
<bold>66 &#xb1; 10</bold>
</td>
<td rowspan="3" align="left">0.784</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">67 &#xb1; 9</td>
<td align="left">63 &#xb1; 11</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">64 &#xb1; 9</td>
<td align="left">66 &#xb1; 10</td>
</tr>
<tr>
<td align="left">Cirrhosis Dx (mean &#xb1; SD, years)</td>
<td align="left">
<bold>61 &#xb1; 10</bold>
</td>
<td align="left">
<bold>62 &#xb1; 11</bold>
</td>
<td rowspan="3" align="left">0.529</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">63 &#xb1; 10</td>
<td align="left">63 &#xb1; 13</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">59 &#xb1; 10</td>
<td align="left">62 &#xb1; 11</td>
</tr>
<tr>
<td align="left">Bilirubin levels (mean mg/dL)</td>
<td align="left">
<bold>0.96 &#xb1; 0.38</bold>
</td>
<td align="left">
<bold>1.70 &#xb1; 2.82</bold>
</td>
<td rowspan="3" align="left">0.034&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">0.90 &#xb1; 0.44</td>
<td align="left">1.16 &#xb1; 1.89</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">1.0 &#xb1; 0.34</td>
<td align="left">1.76 &#xb1; 2.91</td>
</tr>
<tr>
<td align="left">Albumin levels (mean g/dL)</td>
<td align="left">
<bold>4.10 &#xb1; 0.40</bold>
</td>
<td align="left">
<bold>3.70 &#xb1; 0.60</bold>
</td>
<td rowspan="3" align="left">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">3.90 &#xb1; 0.40</td>
<td align="left">3.70 &#xb1; 0.70</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">4.20 &#xb1; 0.30</td>
<td align="left">3.70 &#xb1; 0.60</td>
</tr>
<tr>
<td align="left">Platelets number (mean 10<sup>6</sup>/L)</td>
<td align="left">
<bold>146,524 &#xb1; 78,641</bold>
</td>
<td align="left">
<bold>152,052 &#xb1; 103,980</bold>
</td>
<td rowspan="3" align="left">0.767</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">151,125 &#xb1; 69,214</td>
<td align="left">173,957 &#xb1; 172,546</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">143,692 &#xb1; 85,125</td>
<td align="left">149,656 &#xb1; 95,491</td>
</tr>
<tr>
<td align="left">INR (mean &#xb1; SD)</td>
<td align="left">
<bold>1.13 &#xb1; 0.35</bold>
</td>
<td align="left">
<bold>1.23 &#xb1; 0.32</bold>
</td>
<td rowspan="3" align="left">0.116</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">1.26 &#xb1; 0.54</td>
<td align="left">1.12 &#xb1; 0.18</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">1.05 &#xb1; 0.12</td>
<td align="left">1.25 &#xb1; 0.33</td>
</tr>
<tr>
<td align="left">Prothrombin activity (%)</td>
<td align="left">
<bold>90 &#xb1; 21</bold>
</td>
<td align="left">
<bold>77 &#xb1; 18</bold>
</td>
<td rowspan="3" align="left">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">84 &#xb1; 27</td>
<td align="left">83 &#xb1; 77</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">94 &#xb1; 16</td>
<td align="left">77 &#xb1; 18</td>
</tr>
<tr>
<td align="left">AFP baseline (mean ng/mL)</td>
<td align="left">
<bold>6.13 &#xb1; 16.65</bold>
</td>
<td align="left">
<bold>1,111.62 &#xb1; 4,685.08</bold>
</td>
<td rowspan="3" align="left">&#x3c;0.001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">11.15 &#xb1; 27.64</td>
<td align="left">5,333.91 &#xb1; 13,330.00</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">3.32 &#xb1; 1.38</td>
<td align="left">619.03 &#xb1; 2,030.34</td>
</tr>
<tr>
<td align="left">Alcohol, n (%)</td>
<td align="left"/>
<td align="left"/>
<td rowspan="3" align="left">0.17</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">4 (33.3%)</td>
<td align="left">4 (14.33%)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">8 (66.7%)</td>
<td align="left">24 (85.7%)</td>
</tr>
<tr>
<td align="left">HCV, <italic>n</italic> (%)</td>
<td align="left"/>
<td align="left"/>
<td rowspan="3" align="left">0.045&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="left">7 (35%)</td>
<td align="left">1 (6.3%)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="left">13 (65%)</td>
<td align="left">15 (93.8%)</td>
</tr>
<tr>
<td align="left">Child Pugh-Turcotte, <italic>n</italic> (%)</td>
<td align="left"/>
<td align="left"/>
<td rowspan="4" align="left">&#x3c;0.0001&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;A (5&#x2013;6)</td>
<td align="left">40 (100)</td>
<td align="left">48 (71.6)</td>
</tr>
<tr>
<td align="left">&#x2003;B (7&#x2013;9)</td>
<td align="left">0</td>
<td align="left">15 (22.4)</td>
</tr>
<tr>
<td align="left">&#x2003;C (10&#x2013;15)</td>
<td align="left">0</td>
<td align="left">4 (6.0)</td>
</tr>
<tr>
<td align="left">CEC phenotype, <italic>n</italic> (median; IQ range)</td>
<td align="left"/>
<td align="left"/>
<td rowspan="4" align="left">0.044&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;CK&#x2b;/ASGR1&#x2b;</td>
<td align="left">17 (2; 4)</td>
<td align="left">29 (2; 2)</td>
</tr>
<tr>
<td align="left">&#x2003;CK&#x2b;/ASGR1&#x2212;</td>
<td align="left">7 (1; 4)</td>
<td align="left">25 (2; 7)</td>
</tr>
<tr>
<td align="left">&#x2003;Negative</td>
<td align="left">18 (0)</td>
<td align="left">17 (0)</td>
</tr>
<tr>
<td align="left">Total sum of CECs</td>
<td align="left"/>
<td align="left"/>
<td rowspan="3" align="left">0.0002&#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="left">&#x2003;CK&#x2b;/ASGR1&#x2b;</td>
<td align="left">36</td>
<td align="left">48</td>
</tr>
<tr>
<td align="left">&#x2003;CK&#x2b;/ASGR1&#x2212;</td>
<td align="left">15</td>
<td align="left">74</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-2">
<title>2.2 Circulating epithelial cell isolation</title>
<p>Peripheral blood samples (15&#xa0;ml) were collected in K2-EDTA Vacutainer tubes at the time of diagnosis. Blood samples were enriched in peripheral mononuclear blood cells using gradient centrifugation with Ficoll-Histopaque<sup>&#xae;</sup>-1119 and CECs were isolated using the Carcinoma Cell Enrichment Kit (130-060-301, Miltenyi Biotec) based on pan-anti-cytokeratin, as previously described (<xref ref-type="bibr" rid="B31">Nadal et al., 2013</xref>). Isolated CECs were then spun down onto Poly-L-lysine-coated glass slides using a cytospin (Hettich) for subsequent phenotypic and genetic characterization (one glass slide was prepared per 7.5&#xa0;ml peripheral blood).</p>
</sec>
<sec id="s2-3">
<title>2.3 CECs enumeration and phenotypic characterization by ASGR1 detection</title>
<p>Before isolating and characterizing CECs from patients, antibody specificity for ASGR1 was assessed on the hepatocellular tumor cell line HEPG2 (reference 85011430, lot. 2440) obtained by the Centre of Scientific Instrumentation at the University of Granada. The primary alveolar epithelial cell line hAELVi (InSCREENeX GmbH) was selected as a negative control for ASGR1 expression as stated in the human protein atlas and peripheral blood mononuclear cells (PBMCs) from a healthy donor were used as negative control for both antibodies (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). Both cell lines were tested with STR assay for cell authenticity and for mycoplasma contamination. All experiments were done in duplicates. Subsequently, isolated CECs from patients were enumerated and characterized using double immunocytochemistry with chromogenic staining for cytokeratin (CK) followed by fluorescent detection (for ASGR1). CK detection was done using the Carcinoma Cell Detection Kit (130-060-301, Miltenyi Biotec) as previously described (<xref ref-type="bibr" rid="B31">Nadal et al., 2013</xref>). CECs from HCC and LC patients were then blocked with 10% goat serum and 1.5% FcR blocking in cell stain solution for 45&#xa0;min and incubated with 1/100 diluted anti-ASGR1 rabbit antibody (Atlas Antibodies Cat&#x23; HPA012852, Merck) in 1% goat serum overnight. For visualization of ASGR1, 10&#xa0;&#x3bc;g of goat anti-rabbit Alexa Fluor 633 antibody (A-21070, Thermo Fisher Scientific) were added for 20&#xa0;min. Finally, slides were mounted using 4&#xa0;&#x3bc;g of Hoechst 33342 (Thermo Fisher Scientific) and SlowFade&#x2122; Gold Antifade Mounting Media (S36936, Thermo Fisher Scientific). Cell enumeration and characterization was performed in a laser confocal microscope (Zeiss LSM 710) and pictures were taken using a &#xd7;60 oil objective. CECs were reported as either CEC<sup>CK&#x2b;/ASGR1&#x2b;</sup> (for positive ASGR1 staining) or CEC<sup>CK&#x2b;/ASGR1&#x2212;</sup> (for negative ASGR1 staining).</p>
</sec>
<sec id="s2-4">
<title>2.4 CECs genetic characterization by immunoFISH</title>
<p>As a proof-of-concept, we selected 5 individuals positive for CECs belonging to each patient cohort (5 LC, 5 eHCC and 5 aHCC) and a second glass slide for each patient allowed genetic characterization by immunoFISH. This procedure was not performed in all patients due to: availability of enough sample, difficulties of the combination of chromogenic staining with fluorescence detection as well as financial reasons. In patients positive for CECs, <italic>fluorescence in situ hybridization</italic> (FISH) for the miR-122-5p in combination with immunofluorescence with cytokeratin was performed to determine liver-origin of CECs. Samples were treated with filtered 0.1% pepsin (Merck) in 10&#xa0;mM HCL during 1&#xa0;min at 37&#xb0;C, washed twice with PBS and then hybridized for 1&#xa0;h at 57&#xb0;C with miRCURY LNA miRNA Detection Probe for miR-122-5p (Qiagen, Cat&#x23;339453) according to the manufacturer&#x2019;s protocol. After increasing stringency washes with SSC samples were blocked (PBS 1x, 0.1% Tween-20, 2% goat serum, 1% BSA) and incubated with anti-digoxigenin antibody (Roche, Cat&#x23;11093274910) for 1&#xa0;h at room temperature. After several PBS-Tween washes, samples were stained using the pre-filtered substrate FastRed for 1.5&#xa0;h at 30&#xb0;C. Staining was terminated by addition of KTBT buffer and subsequently, immunofluorescence for cytokeratin-FITC was performed. <xref ref-type="sec" rid="s12">Supplementary Figure S2</xref> shows internal controls for specificity of probes and methodology.</p>
</sec>
<sec id="s2-5">
<title>2.5 Statistical analysis</title>
<p>Descriptive analysis of variables was performed using SPSS, calculating measures of central trend and dispersion for the numerical variables; absolute frequencies and percentages for qualitative variables were also calculated. Normality of the data was studied with the Shapiro-Wilks test. A bivariate analysis was carried out to analyze possible factors related to the main variables. For numerical variables, the Student&#x2019;s t test was applied for independent samples or Mann-Whitney in non-parametric cases. For qualitative variables, Pearson&#x2019;s Chi-square test or Fisher&#x2019;s exact test were applied. In addition, odds ratio and its 95% confidence interval were calculated for each variable. With those that were statistically significant, a multivariate logistic regression model was proposed to jointly predict which factors influenced tolerance to treatment. The variable selection method was performed by successive steps backwards, eliminating in each step those variables that did not significantly influence the model, applying the likelihood ratio test. To evaluate the goodness of fit of the model, the Hosmer-Lemeshow statistic was calculated and to calculate survival rates, overall survival (OS) and progression-free survival (PFS) were plotted as Kaplan Meier curves. Statistical significance was considered for <italic>p</italic> &#x3c; 0.05. Graphs were created using GraphPad.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Clinical and pathological characteristics of the study cohort</title>
<p>Our study cohort included 113 individuals, 42 cancer-free LC patients and 71 HCC patients (of which only 9 did not have prior LC). Univariate analysis of factors associated with HCC included sex, albumin levels and prothrombin activity (<italic>p</italic> &#x3c; 0.001), bilirubin (<italic>p</italic> &#x3d; 0.034), etiology including hepatitis virus C (<italic>p</italic> &#x3d; 0.045) and Child Pugh-Turcotte stage (<xref ref-type="table" rid="T1">Table 1</xref>). No relevant information was obtained using multivariate analysis (data not shown).</p>
</sec>
<sec id="s3-2">
<title>3.2 Circulating epithelial cells characterization in LC and HCC patients</title>
<p>CECs were detected in 79 patients (69.9%) with significantly greater frequencies in HCC (54/71; 76.1%) than in HCC-free patients (24/42; 57.1%) (<italic>p</italic> &#x3d; 0.023). Phenotypic heterogeneity of CECs was identified both intra and inter individual based on ASGR1. Particularly, two phenotypes were identified: ASGR1 positive (CK&#x2b;/ASGR1&#x2b;) and negative (CK&#x2b;/ASGR1&#x2212;), with varying intensities and sizes (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>CECs heterogeneity in patients with liver cirrhosis or HCC. Heterogeneity is shown with respect to Cytokeratin (CK) and ASGR1 expression in two LC (liver cirrhosis) patients (top), two eHCC (early HCC) patients (middle) and two aHCC (advanced HCC) patients (bottom). In each case, one CEC positive for the two markers (CK and ASGR1) and one CEC negative for ASGR1 are shown. Hoechst is used as nuclear staining.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g001.tif"/>
</fig>
<p>No significant differences were observed between the ASGR1 positive (46/78; 58.9%) and the ASGR1 negative (32/78; 41.1%) phenotype (<italic>p</italic> &#x3d; 0.33), being ASGR1 expression more prevalent in cirrhotic (17/24; 70.8%) than in HCC (29/54; 53.7%) patients. Importantly, all CECs with the ASGR1 positive phenotype also showed positivity for the miR-122-5p liver-specific marker (<xref ref-type="fig" rid="F2">Figure 2</xref>, rows 1,3 and 5), demonstrating their liver origin. In contrast, absence of miR-122-5p was observed in all patients with CECs showing ASGR1 negative staining (<xref ref-type="fig" rid="F2">Figure 2</xref>, rows 2,4 and 6).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Confocal microscopy of immunoFISH for miR-122-5p in patients with liver cirrhosis or HCC. Cytokeratin (CK) is shown in green (FITC) and miR122-5p probe is shown in red. Data from two patients for each group: liver cirrhosis (LC; top), early HCC (eHCC; middle) and advanced HCC (aHCC; bottom) are shown. For each patient group, a positive miR-122-5p signal (coinciding with positive ASGR1 staining) and a negative miR-122-5p signal (coinciding with negative ASGR1 staining) are shown.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Correlation of CEC phenotypes with clinical and pathological data</title>
<p>The amount of CEC<sup>CK&#x2b;/ASGR1-</sup> was significantly greater in HCC than in HCC-free patients (<italic>p</italic> &#x3d; 0.0096), significantly increasing the total CEC count in HCC compared to LC patients (<italic>p</italic> &#x3d; 0.035) (<xref ref-type="fig" rid="F3">Figure 3A</xref>). Furthermore, when accounting for disease stage: early (BCLC 0-A) or advanced (BCLC B-C-D), no differences were observed for the ASGR1 positive population (<xref ref-type="fig" rid="F3">Figure 3B</xref>). However, Kruskal-Wallis tests revealed that the number of CECs with absence of ASGR1 expression was significantly different among disease stages (<italic>p</italic> &#x3d; 0.017). There was a significant increase of CEC<sup>CK&#x2b;/ASGR1&#x2212;</sup> between LC and eHCC (<italic>p</italic> &#x3d; 0.0051) but not between LC and aHCC (<italic>p</italic> &#x3d; 0.08) or eHCC and aHCC (<italic>p</italic> &#x3d; 0.23) (<xref ref-type="fig" rid="F3">Figure 3C</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>CECs enumeration in blood in patients with liver cirrhosis or HCC. CECs are characterized by either double staining (CK&#x2b;/ASGR1&#x2b;) or single staining (CK&#x2b;/ASGR1-) in liver cirrhosis (LC) and hepatocellular carcinoma (HCC) patients <bold>(A)</bold>. The latter are divided into early (eHCC) and advanced (aHCC) disease for both, double <bold>(B)</bold> and single staining <bold>(C)</bold>. <italic>p</italic> values for Kruskal Wallis test and multiple comparisons are:&#x2a;&#x2a;<italic>p</italic> &#x3d; 0.0096 and &#x2a;<italic>p</italic> &#x3d; 0.035 <bold>(A)</bold> and &#x2a;&#x2a;<italic>p</italic> &#x3d; 0.0051 <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g003.tif"/>
</fig>
<p>Our results suggest that both presence of CECs and absence of ASGR1 expression in CECs are risk biomarkers of HCC. In fact, presence of CECs increased HCC risk by 2.58 -fold (<italic>p</italic> &#x3d; 0.023) (<xref ref-type="fig" rid="F4">Figure 4A</xref>) and the number of CECs lacking ASGR1 expression significantly (<italic>p</italic> &#x3d; 0.001) increased risk of developing HCC by 2.66-fold (<xref ref-type="fig" rid="F4">Figure 4B</xref>). A significantly greater proportion of aHCC and eHCC patients had CECs (including ASGR&#x2b; and ASGR-) compared with LC (<italic>p</italic> &#x3d; 0.049) (<xref ref-type="fig" rid="F4">Figure 4C</xref>) and this increase came with a significant reduction on the number of CECs expressing ASGR1 in HCC compared to LC (<italic>p</italic> &#x3d; 0.003) (<xref ref-type="fig" rid="F4">Figure 4D</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Risk factors for HCC. <bold>(A)</bold> Shows presence/absence of CECs and <bold>(B)</bold> shows number of CECs expressing (or not) ASGR1 in liver cirrhosis (LC) or hepatocellular carcinoma patients (HCC). <bold>(C,D)</bold> show same information as in <bold>(A,B)</bold> respectively, but dividing HCC individuals by either early (eHCC) or advanced (aHCC) disease stages.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g004.tif"/>
</fig>
<p>When pathological AFP levels were considered, 13/13 patients (100%) with AFP greater than 400&#xa0;ng/ml showed HCC (11 of which had prior LC). However, there were a significant (<italic>p</italic> &#x3d; 0.0117) proportion of individuals with lower AFP levels (54/93; 58.1%) that also developed HCC, highlighting the poor performance of AFP for identifying high-risk individuals (<xref ref-type="fig" rid="F5">Figure 5A</xref>). Interestingly, there was a significant difference between ASGR1 expression when analyzing liver cirrhosis and cancer occurrence together (<italic>p</italic> &#x3d; 0.033). Thus, of the total of individuals with CECs negative for ASGR1 expression, the majority were HCC patients with prior LC (65.6%; 21/32), while there was no difference between cancer-free LC (18.8%; 6/32) and HCC without prior LC (5/32; 15.6%). Contrarily, positive expression of ASGR in CECs was more frequent in LC (42.9%; 18/42) than in HCC without prior LC (22.2%; 2/9), suggesting that LC patients (independently on their cancer status) were more likely to have ASGR1 positive CECs (<xref ref-type="fig" rid="F5">Figure 5B</xref>). In fact, HCC patients without previous LC had the greatest percentage of CECs without ASGR1 expression (median 100%) compared with HCC with LC (median 71.0%) and HCC-free LC (median 51%) patients although this difference was not significantly different (<italic>p</italic> &#x3d; 0.21) (<xref ref-type="fig" rid="F5">Figure 5C</xref>). Furthermore, we found that the percentage of CECs without ASGR1 expression increased upon liver dysfunction (Child Pugh-Turcotte stage) (<xref ref-type="fig" rid="F5">Figure 5D</xref>), although this increase was not significant (<italic>p</italic> &#x3d; 0.74). Presence of CECs without ASGR1 expression significantly correlated with cancer occurrence (<italic>p</italic> &#x3d; 0.012). Indeed, ASGR1 expression in CECs negatively correlated with INR (<italic>p</italic> &#x3d; 0.025).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Relationship between CEC characterization and clinical and pathological features in patients with liver cirrhosis or HCC. <bold>(A)</bold> Shows AFP levels divided by high (&#x3e;400&#xa0;ng/ml) and low (&#x3c;400&#xa0;ng/ml) for three groups of patients: LC &#x3d; liver cirrhosis; HCC of cirrhosis etiology and HCC of other a etiology. <bold>(B)</bold> Shows frequency distribution of CECs for the same groups of patients. <bold>(C,D)</bold> Represent percentages of CECs with lack of ASGR1 expression for either the three previous group of patients <bold>(C)</bold> or Child-Pugh scores <bold>(D)</bold>. <italic>p</italic> values for Chi-Square tests are shown for graphs <bold>(A,B)</bold>. No significant differences are shown in C and D for Kruskal Wallis tests.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g005.tif"/>
</fig>
<p>Finally, as expected, early HCC patients showed significantly greater overall survival (OS) than advanced HCC (<italic>p</italic> &#x3d; 0.018) (<xref ref-type="fig" rid="F6">Figure 6A</xref>). However, this difference was observed only in patients showing CECs (<xref ref-type="fig" rid="F6">Figure 6B</xref>; <italic>p</italic> &#x3d; 0.021) and not in patients without CECs (<xref ref-type="fig" rid="F6">Figure 6C</xref>; <italic>p</italic> &#x3d; 0.250). Furthermore, a significantly different progression-free survival (PFS) was observed considering the two CEC phenotypes. While no significant differences were observed for CECs positive for ASGR1 (<xref ref-type="fig" rid="F6">Figure 6D</xref>; <italic>p</italic> &#x3d; 0.126, <italic>p</italic> &#x3d; 0.099 for LC compared to eHCC or aHCC, respectively), significant PFS were observed for CECs negative for ASGR1 expression (<xref ref-type="fig" rid="F6">Figure 6E</xref>; <italic>p</italic> &#x3c; 0.0001, <italic>p</italic> &#x3d; 0.002 for LC compared to eHCC or aHCC, respectively). Thus, PFS was significantly lower in aHCC and eHCC patients compared to LC when considering the CEC phenotype (<xref ref-type="fig" rid="F6">Figure 6F</xref>; <italic>p</italic> &#x3c; 0.0001).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Survival curves for patients with liver cirrhosis or HCC accounting for CEC numbers and phenotype. Left part of the figure represents overall survival curves for the whole population <bold>(A)</bold>, only for those positive for CECs <bold>(B)</bold> and for those negative for CECs <bold>(C)</bold>. Colors are Grey &#x3d; eHCC and Black: aHCC. Right part of the figure represents progression-free survival for patients with all CECs positive for ASGR1 <bold>(D)</bold>, patients with all CECs negative for ASGR1 <bold>(E)</bold> and patients with heterogeneous CEC phenotypes <bold>(F)</bold>. Colors are: Dotted Grey &#x3d; liver cirrhosis; Grey eHCC and Black: aHCC.</p>
</caption>
<graphic xlink:href="fmolb-09-1074277-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<p>In this study we have demonstrated the suitability of two liver-specific biomarkers (ASGR1 and miR-122-5p) for the characterization of circulating epithelial cells (CECs) from liver cirrhosis (LC) and hepatocellular carcinoma (HCC) patients as prognostic biomarkers. This proof-of-concept study demonstrates that phenotypic characterization of CECs with either ASGR1 or miR-122-5p may allow risk-stratification in patients at earlier disease stages, which is the principal basis of precision medicine.</p>
<p>Currently there is a lack of diagnostic and risk-stratification tools for HCC. Evaluation of circulating tumor cells (CTCs) in advanced stages is a prognostic marker for high risk of metastasis (<xref ref-type="bibr" rid="B49">Wang et al., 2018</xref>) and presence of CTCs after surgery or resection is a prognostic marker for PFS in HCC patients (<xref ref-type="bibr" rid="B9">Cui et al., 2020</xref>); however, there are some limitations of CTC evaluation, particularly in early and pre-tumoral disease stages. Lu-Nan, <xref ref-type="bibr" rid="B33">Qi et al. (2018)</xref> identified CTCs in more than half of the early-stage (BCLC 0-A) HCC patients suggesting it may be a remarkably useful tool for cancer interception (<xref ref-type="bibr" rid="B38">Serrano et al., 2020</xref>). However, there are currently only very few studies addressing identification and characterization of CECs in pre-tumoral diseases such as LC (<xref ref-type="bibr" rid="B7">Chen et al., 2020</xref>).</p>
<p>Expression of ASGR1 preferentially in the sinusoidal and basolateral hepatocellular membranes makes this protein an important biomarker for HCC. In fact, it has been explored in the context of targeted therapies for HCC (<xref ref-type="bibr" rid="B6">Chen et al., 2017</xref>), (<xref ref-type="bibr" rid="B25">Kim et al., 2019</xref>), (<xref ref-type="bibr" rid="B32">Nair et al., 2019</xref>). Other roles of ASGR1 such as hepatitis C virus binding allowing viral infection (<xref ref-type="bibr" rid="B37">Saunier et al., 2003</xref>) or metastasis promotion by interaction with lectins in the tumor microenvironment through the EGFR-ERK pathway (<xref ref-type="bibr" rid="B46">Ueno et al., 2011</xref>) are also described in relation with HCC induction. Interestingly, hepatocytes expressing low levels of ASGR1 were characterized as progenitor-like cells with higher levels of EGFR, &#x3b2;1 and &#x3b1;6 integrins expression (<xref ref-type="bibr" rid="B22">Ise et al., 2004</xref>). Furthermore, variable ASGR1 expression was observed between tumor stages. For instance, <xref ref-type="bibr" rid="B39">Shi et al. (2013)</xref> demonstrated that expression of ASGR1 (based on H-scores) in normal adjacent tissue was comparable to that on hepatic cirrhosis and early HCC (grade I or well differentiated) using tissue microarrays, although its expression decreased significantly with increasing tumor stage. This suggested that ASGR1 could potentially be used as an early indicator of the disease status. Likewise, <xref ref-type="bibr" rid="B52">Witzigmann et al. (2016)</xref> showed lower levels of ASGR1 mRNA in HCC compared to its adjacent normal tissue, as well as a reduction of mRNA according to increasing HCC stages. Furthermore, a decreased ASGR1 mRNA expression was observed in metastatic or highly proliferative tumors (defined by Ki69 positivity) (<xref ref-type="bibr" rid="B52">Witzigmann et al., 2016</xref>) and overexpression of ASGR1 was shown to inhibit cell migration and invasivity potential both <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B18">Gu et al., 2016</xref>), suppressing metastasis and serving a prognostic biomarker.</p>
<p>Together with ASGR, miR-122-5p is another liver-specific biomarker which tumor suppressor role has also been suggested in HCC (<xref ref-type="bibr" rid="B17">Gramantieri et al., 2007</xref>; <xref ref-type="bibr" rid="B23">Jin et al., 2017</xref>). In fact, miR-122-5p is one of the best diagnostic markers for HCC being usually elevated in circulation of HCC patients (<xref ref-type="bibr" rid="B24">Jin et al., 2019</xref>); however, its overexpression in circulation was not correlated with that in tissue, which levels were found to be downregulated in HCC (<xref ref-type="bibr" rid="B17">Gramantieri et al., 2007</xref>). Intra-tumor heterogeneity following microenvironment stress cannot be characterized by cytokeratin positive CEC counts alone. Thus, phenotypic characterization with tissue-specific biomarkers, such as ASGR1 or miR-122-5p, may be of great importance. In fact, we identified distinct CEC subpopulations based on ASGR1/miR-122-5p staining within and between patients. Interestingly, a perfect positive correlation was found between the two markers suggesting that both could become excellent prognostic biomarkers for HCC.</p>
<p>Our results show that both the presence of CECs and the absence of ASGR1 expression in CECs are risk factors of developing HCC. Furthermore, ASGR1 staining has been shown to be positively correlated with miR-122-5p expression, suggesting that CECs expressing both markers originated from hepatocytes; contrarily, absence of the two biomarkers suggests a more dedifferentiated state, potentially identifying more aggressive phenotypes. These data agree with those presented by <xref ref-type="bibr" rid="B39">Shi et al. (2013)</xref> and <xref ref-type="bibr" rid="B52">Witzigmann et al. (2016)</xref>, who have shown decreased ASGR1 expression levels in HCC tumor tissues, both at the mRNA and protein level as well as works from <xref ref-type="bibr" rid="B21">Hu et al. (2012)</xref> who showed a decreased miR-122-5p expression in HCC compared to controls.</p>
<p>Despite its main expression in liver, ASGR1 was also shown to be expressed in other cell types such as colon (<xref ref-type="bibr" rid="B13">Fang et al., 2009</xref>) or peripheral blood mononuclear cells (PBMCs) (<xref ref-type="bibr" rid="B20">Harris et al., 2012</xref>), albeit at lower levels compared with hepatocytes. We have also observed some level of ASGR1 expression in PBMCs of some individuals (data not shown); however, any significance of such differences among patients needs to be further investigated. One of the described roles of ASGR1 is the clearance of platelets and other prothrombotic blood components (<xref ref-type="bibr" rid="B41">S&#xf8;rensen et al., 2009</xref>). Therefore, its presence in PBMCs might arise because of this blood hemostasis process. In fact, we showed significant correlations between ASGR1 expression in CECs and INR (<italic>p</italic> &#x3d; 0.025) as well as prothrombin activity (<italic>p</italic> &#x3d; 0.006), validating the role of ASGR1 maintaining blood homeostasis. Furthermore, the percentage of ASGR1 expression in CECs decreased with Child Pugh-Turcotte stage suggesting it may be used as diagnostic and prognostic biomarker in earlier disease stages as an outstanding cancer interception tool (<xref ref-type="bibr" rid="B38">Serrano et al., 2020</xref>). Thus, our data highlights the clinical utility of characterizing CECs using ASGR1/miR-122-5p isolated from patients with chronic liver cirrhosis or HCC to identify potentially more aggressive phenotypes (loss of ASGR1/miR-122-5p) serving as prognostic tool. A larger clinical trial in which clinical utility of these two biomarkers is assessed, might allow to update the current clinical management guidelines for HCC. Incorporation of liquid biopsy based on CTC isolation and characterization using ASGR1 and/or miR-122-5p might become a non-invasive strategy for risk stratification, improving early identification of malignancy in liver cirrhotic patients.</p>
<p>We understand that the cohort size might impact on our ability to reach good diagnostic power for CECs and ASGR1 as biomarkers, although similar (<xref ref-type="bibr" rid="B33">Qi et al., 2018</xref>) and even smaller cohort sizes (<xref ref-type="bibr" rid="B47">Vona et al., 2004</xref>; <xref ref-type="bibr" rid="B49">Wang et al., 2018</xref>; <xref ref-type="bibr" rid="B44">Takahashi et al., 2021</xref>) have already been used by other authors. Also, we acknowledge that detection of miR-122-5p on CECs should have been performed in all samples positive for CECs; however due to funding constraints and difficulties of the methodology, we only assessed as a proof-of-concept this biomarker in a small cohort of patients. We are currently working to increase cohort size and to characterize CECs using a more comprehensive biomarker panel including ASGR1 and miR-122-5p simultaneously using our recently developed protocol (<xref ref-type="bibr" rid="B36">Ruiz-Rodr&#xed;guez et al., 2021</xref>) to improve statistical power and to demonstrate the diagnostic utility of characterizing CECs for LC and HCC patients.</p>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>Circulating epithelial cells (CECs) may prove to become a very useful prognostic biomarker for the identification of individuals at risk of developing hepatocellular carcinoma (HCC). Both the presence of CECs and the lack of ASGR1/miR-122-5p expression in CECs were linked with HCC incidence and poorer disease outcomes, highlighting their potential as predictive biomarkers.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by PEIBA: Portal de Etica de la Investigaci&#xf3;n Biom&#xe9;dica de Andalucia. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>Conceiving and designing the study: MJS, MG-N, and JL; Analyzing and interpreting the data: AR-C, PM-V, MG-N, and VA-G; Writing the manuscript: MG-N, MJS, AR-C, AR, and MG; Providing critical revisions: JL, MJS, JS, JM, JP, and JA; Approving the final version of the manuscript: MG-N, MJS, and MR-G.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>The research leading to these results received funding from the Regional Ministry of Health of Andalusia (codes: PC-0522-2016, PC-0267-2017 and PC-0033-2017), principal investigators: MJS, JL, and AR-C respectively. Carmen Garrido&#x2019;s postdoctoral fellowship is funded by the Ministry of Economy, Competitiveness, Enterprises and Universities (DOC_01682); AR-C postdoctoral contract is supported by a Sara Borrell postdoctoral fellowship from Health Institute Carlos III (ISCIII) (CD18/00126).</p>
</sec>
<ack>
<p>We would like to acknowledge all patients willing to contribute to this project for their consent and their blood samples and to Cas Kramer for his English proofreading of this manuscript.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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">
<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/fmolb.2022.1074277/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmolb.2022.1074277/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image2.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image1.pdf" id="SM2" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bayarri-Lara</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Ortega</surname>
<given-names>F. G.</given-names>
</name>
<name>
<surname>Cueto Ladr&#xf3;n de Guevara</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Puche</surname>
<given-names>J. L.</given-names>
</name>
<name>
<surname>Ruiz Zafra</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>de Miguel-Perez</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>Circulating tumor cells identify early recurrence in patients with non-small cell lung cancer undergoing radical resection</article-title>. <source>PLoS One</source> <volume>11</volume>, <fpage>e0148659</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0148659</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bialecki</surname>
<given-names>E. S.</given-names>
</name>
<name>
<surname>di Bisceglie</surname>
<given-names>A. M.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Diagnosis of hepatocellular carcinoma</article-title>. <source>HPB</source> <volume>7</volume>, <fpage>26</fpage>&#x2013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.1080/13651820410024049</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cadier</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Bulsei</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Nahon</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Seror</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Laurent</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Rosa</surname>
<given-names>I.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Early detection and curative treatment of hepatocellular carcinoma: A cost-effectiveness analysis in France and in the United States</article-title>. <source>Hepatology</source> <volume>65</volume>, <fpage>1237</fpage>&#x2013;<lpage>1248</lpage>. <pub-id pub-id-type="doi">10.1002/hep.28961</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="web">
<collab>Cancer Tomorrow</collab> (<year>2022</year>). <article-title>Cancer Tomorrow</article-title>. <comment>Available at: <ext-link ext-link-type="uri" xlink:href="https://gco.iarc.fr/tomorrow/en/dataviz/isotype?cancers=11&amp;single_unit=50000&amp;group_cancers=0&amp;multiple_cancers=0">https://gco.iarc.fr/tomorrow/en/dataviz/isotype?cancers&#x3d;11&#x26;single_unit&#x3d;50000&#x26;group_cancers&#x3d;0&#x26;multiple_cancers&#x3d;0</ext-link>
</comment>. [<comment>Accessed 22 Sep 2022</comment>].</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carr</surname>
<given-names>B. I.</given-names>
</name>
<name>
<surname>Akkiz</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>&#xdc;sk&#xfc;dar</surname>
<given-names>O.</given-names>
</name>
<name>
<surname>Yalcin</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Guerra</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Kuran</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>HCC with low- and normal-serum alpha-fetoprotein levels</article-title>. <source>Clin. Pract.</source> <volume>15</volume>, <fpage>453</fpage>&#x2013;<lpage>464</lpage>. <pub-id pub-id-type="doi">10.4172/clinical-practice.1000393</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Pan</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Development of T cells carrying two complementary chimeric antigen receptors against glypican-3 and asialoglycoprotein receptor 1 for the treatment of hepatocellular carcinoma</article-title>. <source>Cancer Immunol. Immunother.</source> <volume>66</volume>, <fpage>475</fpage>&#x2013;<lpage>489</lpage>. <pub-id pub-id-type="doi">10.1007/s00262-016-1949-8</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Analysis of preoperative circulating tumor cells for recurrence in patients with hepatocellular carcinoma after liver transplantation</article-title>. <source>Ann. Transl. Med.</source> <volume>8</volume>, <fpage>1067</fpage>. <pub-id pub-id-type="doi">10.21037/atm-20-2751</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Court</surname>
<given-names>C. M.</given-names>
</name>
<name>
<surname>Hou</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Winograd</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Segel</surname>
<given-names>N. H.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Q. W.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>A novel multimarker assay for the phenotypic profiling of circulating tumor cells in hepatocellular carcinoma</article-title>. <source>Liver Transpl.</source> <volume>24</volume>, <fpage>946</fpage>&#x2013;<lpage>960</lpage>. <pub-id pub-id-type="doi">10.1002/lt.25062</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cui</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Ou</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Clinical value of circulating tumor cells for the diagnosis and prognosis of hepatocellular carcinoma (HCC): A systematic review and meta-analysis</article-title>. <source>Medicine</source> <volume>99</volume>, <fpage>e22242</fpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000022242</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>de Miguel-P&#xe9;rez</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Bayarri-Lara</surname>
<given-names>C. S.</given-names>
</name>
<name>
<surname>Ortega</surname>
<given-names>F. G.</given-names>
</name>
<name>
<surname>Rodriguez</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Alvarez-Cubero</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Serrano</surname>
<given-names>E. M.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Post-surgery circulating tumor cells and AXL overexpression as new poor prognostic biomarkers in resected lung adenocarcinoma</article-title>. <source>Cancers (Basel)</source> <volume>11</volume>, <fpage>1750</fpage>. <pub-id pub-id-type="doi">10.3390/cancers11111750</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Delgado-Ure&#xf1;a</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ortega</surname>
<given-names>F. G.</given-names>
</name>
<name>
<surname>de Miguel-P&#xe9;rez</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Rodriguez-Martinez</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Garcia-Puche</surname>
<given-names>J. L.</given-names>
</name>
<name>
<surname>Ilyine</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Circulating tumor cells criteria (CyCAR) versus standard RECIST criteria for treatment response assessment in metastatic colorectal cancer patients</article-title>. <source>J. Transl. Med.</source> <volume>16</volume>, <fpage>251</fpage>. <pub-id pub-id-type="doi">10.1186/s12967-018-1624-2</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fan</surname>
<given-names>J-L.</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>Y-F.</given-names>
</name>
<name>
<surname>Yuan</surname>
<given-names>C-H.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>F-B.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Circulating tumor cells for predicting the prognostic of patients with hepatocellular carcinoma: A meta analysis</article-title>. <source>Cell. Physiol. biochem.</source> <volume>37</volume>, <fpage>629</fpage>&#x2013;<lpage>640</lpage>. <pub-id pub-id-type="doi">10.1159/000430382</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Izawa</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Gomez-Santos</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ueno</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Sawaguchi</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Usami</surname>
<given-names>K.</given-names>
</name>
<etal/>
</person-group> (<year>2009</year>). <article-title>Potentiation of proliferation of some but not all human colon carcinoma cell lines by immobilized hepatic asialoglycoprotein receptor 1</article-title>. <source>Oncol. Res.</source> <volume>17</volume>, <fpage>437</fpage>&#x2013;<lpage>445</lpage>. <pub-id pub-id-type="doi">10.3727/096504009789735440</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fateen</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Ryder</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>Screening for hepatocellular carcinoma: Patient selection and perspectives</article-title>. <source>J. Hepatocell. Carcinoma</source> <volume>4</volume>, <fpage>71</fpage>&#x2013;<lpage>79</lpage>. <pub-id pub-id-type="doi">10.2147/JHC.S105777</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Force</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Park</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Chalikonda</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Roth</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Cohen</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Halegoua-Demarzio</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Alpha-fetoprotein (AFP) and AFP-L3 is most useful in detection of recurrence of hepatocellular carcinoma in patients after tumor ablation and with low AFP level</article-title>. <source>Viruses</source> <volume>14</volume>, <fpage>775</fpage>. <pub-id pub-id-type="doi">10.3390/v14040775</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Forner</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Reig</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Bruix</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Hepatocellular carcinoma</article-title>. <source>Lancet</source> <volume>391</volume>, <fpage>1301</fpage>&#x2013;<lpage>1314</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(18)30010-2</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gramantieri</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Ferracin</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Fornari</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Veronese</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Sabbioni</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>C. G.</given-names>
</name>
<etal/>
</person-group> (<year>2007</year>). <article-title>Cyclin G1 is a target of miR-122a, a MicroRNA frequently down-regulated in human hepatocellular carcinoma</article-title>. <source>Cancer Res.</source> <volume>67</volume>, <fpage>6092</fpage>&#x2013;<lpage>6099</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-06-4607</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gu</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>F.</given-names>
</name>
<etal/>
</person-group> (<year>2016</year>). <article-title>The asialoglycoprotein receptor suppresses the metastasis of hepatocellular carcinoma via LASS2-mediated inhibition of V-ATPase activity</article-title>. <source>Cancer Lett.</source> <volume>379</volume>, <fpage>107</fpage>&#x2013;<lpage>116</lpage>. <pub-id pub-id-type="doi">10.1016/j.canlet.2016.05.030</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanif</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Ali</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Khan</surname>
<given-names>I. W.</given-names>
</name>
<name>
<surname>Luna-Cuadros</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Khan</surname>
<given-names>M. M.</given-names>
</name>
<name>
<surname>Tan-Yeung Lau</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Update on the applications and limitations of alpha-fetoprotein for hepatocellular carcinoma</article-title>. <source>World J. Gastroenterol.</source> <volume>28</volume>, <fpage>216</fpage>&#x2013;<lpage>229</lpage>. <pub-id pub-id-type="doi">10.3748/wjg.v28.i2.216</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Harris</surname>
<given-names>R. L.</given-names>
</name>
<name>
<surname>van den Berg</surname>
<given-names>C. W.</given-names>
</name>
<name>
<surname>Bowen</surname>
<given-names>D. J.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>ASGR1 and ASGR2 , the genes that encode the asialoglycoprotein receptor (ashwell receptor), are expressed in peripheral blood monocytes and show interindividual differences in transcript profile</article-title>. <source>Mol. Biol. Int.</source> <volume>1&#x2013;10</volume>, <fpage>283974</fpage>. <pub-id pub-id-type="doi">10.1155/2012/283974</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Hao</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Meng</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>MiR-122 in hepatic function and liver diseases</article-title>. <source>Protein Cell</source> <volume>3</volume>, <fpage>364</fpage>&#x2013;<lpage>371</lpage>. <pub-id pub-id-type="doi">10.1007/s13238-012-2036-3</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ise</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Nikaido</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Negishi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Sugihara</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Suzuki</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Akaike</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2004</year>). <article-title>Effective hepatocyte transplantation using rat hepatocytes with low asialoglycoprotein receptor expression</article-title>. <source>Am. J. Pathol.</source> <volume>165</volume>, <fpage>501</fpage>&#x2013;<lpage>510</lpage>. <pub-id pub-id-type="doi">10.1016/S0002-9440(10)63315-9</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jin</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Han</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>Z.</given-names>
</name>
</person-group> (<year>2017</year>). <article-title>MiR-122 inhibits epithelial-mesenchymal transition in hepatocellular carcinoma by targeting Snail1 and Snail2 and suppressing WNT/&#x3b2;-cadherin signaling pathway</article-title>. <source>Exp. Cell Res.</source> <volume>360</volume>, <fpage>210</fpage>&#x2013;<lpage>217</lpage>. <pub-id pub-id-type="doi">10.1016/j.yexcr.2017.09.010</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jin</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>Y. S.</given-names>
</name>
<name>
<surname>Goh</surname>
<given-names>B. K. P.</given-names>
</name>
<name>
<surname>Chan</surname>
<given-names>C. Y.</given-names>
</name>
<name>
<surname>Cheow</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Chow</surname>
<given-names>P. K. H.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Circulating microRNAs as potential diagnostic and prognostic biomarkers in hepatocellular carcinoma</article-title>. <source>Sci. Rep.</source> <volume>9</volume>, <fpage>10464</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-019-46872-8</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Jo</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Schmidt</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Prakash</surname>
<given-names>T. P.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Enhanced potency of GalNAc-conjugated antisense oligonucleotides in hepatocellular cancer models</article-title>. <source>Mol. Ther.</source> <volume>27</volume>, <fpage>1547</fpage>&#x2013;<lpage>1557</lpage>. <pub-id pub-id-type="doi">10.1016/j.ymthe.2019.06.009</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kobeisy</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Morsy</surname>
<given-names>K. H.</given-names>
</name>
<name>
<surname>Galal</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sayed</surname>
<given-names>S. K.</given-names>
</name>
<name>
<surname>Ashmawy</surname>
<given-names>M. M.</given-names>
</name>
<name>
<surname>Mohammad</surname>
<given-names>F. M.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Clinical significance of elevated alpha-foetoprotein (AFP) in patients with chronic hepatitis C without hepatocellular carcinoma in upper Egypt</article-title>. <source>Arab. J. Gastroenterol.</source> <volume>13</volume>, <fpage>49</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1016/j.ajg.2012.06.004</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname>
<given-names>C. W.</given-names>
</name>
<name>
<surname>Tsai</surname>
<given-names>H. I.</given-names>
</name>
<name>
<surname>Lee</surname>
<given-names>W. C.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>S. W.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>C. Y.</given-names>
</name>
<name>
<surname>Hsieh</surname>
<given-names>Y. C.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Normal alpha-fetoprotein hepatocellular carcinoma: Are they really normal?</article-title> <source>J. Clin. Med.</source> <volume>8</volume>, <fpage>1736</fpage>. <pub-id pub-id-type="doi">10.3390/jcm8101736</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>B.</given-names>
</name>
<etal/>
</person-group> (<year>2014</year>). <article-title>Detection of circulating tumor cells in hepatocellular carcinoma using antibodies against asialoglycoprotein receptor, carbamoyl phosphate synthetase 1 and pan-cytokeratin</article-title>. <source>PLoS One</source> <volume>9</volume>, <fpage>e96185</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0096185</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Llovet</surname>
<given-names>J. M.</given-names>
</name>
<name>
<surname>Kelley</surname>
<given-names>R. K.</given-names>
</name>
<name>
<surname>Villanueva</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Singal</surname>
<given-names>A. G.</given-names>
</name>
<name>
<surname>Pikarsky</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Roayaie</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Hepatocellular carcinoma</article-title>. <source>Nat. Rev. Dis. Prim.</source> <volume>7</volume>, <fpage>6</fpage>. <pub-id pub-id-type="doi">10.1038/s41572-020-00240-3</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Muramatsu</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2007</year>). &#x201c;<article-title>Knockout mice and glycoproteins</article-title>,&#x201d; in <source>Comprehensive glycoscience</source> (<publisher-loc>Cham</publisher-loc>: <publisher-name>Elsevier</publisher-name>), <fpage>121</fpage>&#x2013;<lpage>147</lpage>.</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nadal</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Ortega</surname>
<given-names>F. G.</given-names>
</name>
<name>
<surname>Salido</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Lorente</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Rodriguez-Rivera</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Delgado-Rodriguez</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2013</year>). <article-title>CD133 expression in circulating tumor cells from breast cancer patients: Potential role in resistance to chemotherapy</article-title>. <source>Int. J. Cancer</source> <volume>133</volume>, <fpage>2398</fpage>&#x2013;<lpage>2407</lpage>. <pub-id pub-id-type="doi">10.1002/ijc.28263</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nair</surname>
<given-names>A. B.</given-names>
</name>
<name>
<surname>Shah</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Al-Dhubiab</surname>
<given-names>B. E.</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>S. S.</given-names>
</name>
<name>
<surname>Morsy</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Patel</surname>
<given-names>V.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Development of asialoglycoprotein receptor-targeted nanoparticles for selective delivery of gemcitabine to hepatocellular carcinoma</article-title>. <source>Molecules</source> <volume>24</volume>, <fpage>E4566</fpage>. <pub-id pub-id-type="doi">10.3390/molecules24244566</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qi</surname>
<given-names>L-N.</given-names>
</name>
<name>
<surname>Xiang</surname>
<given-names>B-D.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>F-X.</given-names>
</name>
<name>
<surname>Ye</surname>
<given-names>J. Z.</given-names>
</name>
<name>
<surname>Zhong</surname>
<given-names>J. H.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y. Y.</given-names>
</name>
<etal/>
</person-group> (<year>2018</year>). <article-title>Circulating tumor cells undergoing EMT provide a metric for diagnosis and prognosis of patients with hepatocellular carcinoma</article-title>. <source>Cancer Res.</source> <volume>78</volume>, <fpage>4731</fpage>&#x2013;<lpage>4744</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-17-2459</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Reig</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Forner</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>&#xc1;vila</surname>
<given-names>M. A.</given-names>
</name>
<name>
<surname>Ayuso</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Minguez</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Varela</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Diagnosis and treatment of hepatocellular carcinoma. Update of the consensus document of the AEEH, AEC, SEOM, SERAM, SERVEI, and SETH</article-title>. <source>Med. Clin.</source> <volume>156</volume>, <fpage>463.e1</fpage>&#x2013;<lpage>463463.e30</lpage>. <pub-id pub-id-type="doi">10.1016/j.medcli.2020.09.022</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Romero-Palacios</surname>
<given-names>P. J.</given-names>
</name>
<name>
<surname>Alc&#xe1;zar-Navarrete</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>D&#xed;az Moch&#xf3;n</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>de Miguel-P&#xe9;rez</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>L&#xf3;pez Hidalgo</surname>
<given-names>J. L.</given-names>
</name>
<name>
<surname>Garrido-Navas</surname>
<given-names>M. del C.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Liquid biopsy beyond of cancer: Circulating pulmonary cells as biomarkers of COPD aggressivity</article-title>. <source>Crit. Rev. Oncol. Hematol.</source> <volume>136</volume>, <fpage>31</fpage>&#x2013;<lpage>36</lpage>. <pub-id pub-id-type="doi">10.1016/j.critrevonc.2019.02.003</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruiz-Rodr&#xed;guez</surname>
<given-names>A. J.</given-names>
</name>
<name>
<surname>Molina-Vallejo</surname>
<given-names>M. P.</given-names>
</name>
<name>
<surname>Aznar-Peralta</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Gonzalez Puga</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Canas Garcia</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Gonzalez</surname>
<given-names>E.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Deep phenotypic characterisation of CTCs by combination of microfluidic isolation (IsoFlux) and imaging flow cytometry (ImageStream)</article-title>. <source>Cancers</source> <volume>13</volume> (<issue>24</issue>), <fpage>6386</fpage>. <pub-id pub-id-type="doi">10.3390/cancers13246386</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saunier</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Triyatni</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ulianich</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Maruvada</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Yen</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Kohn</surname>
<given-names>L. D.</given-names>
</name>
</person-group> (<year>2003</year>). <article-title>Role of the asialoglycoprotein receptor in binding and entry of hepatitis C virus structural proteins in cultured human hepatocytes</article-title>. <source>J. Virol.</source> <volume>77</volume>, <fpage>546</fpage>&#x2013;<lpage>559</lpage>. <pub-id pub-id-type="doi">10.1128/jvi.77.1.546-559.2003</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Serrano</surname>
<given-names>M. J.</given-names>
</name>
<name>
<surname>Garrido-Navas</surname>
<given-names>M. C.</given-names>
</name>
<name>
<surname>Diaz Mochon</surname>
<given-names>J. J.</given-names>
</name>
<name>
<surname>Cristofanilli</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Gil-Bazo</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Pauwels</surname>
<given-names>P.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Precision prevention and cancer interception: The new challenges of liquid biopsy</article-title>. <source>Cancer Discov.</source> <volume>10</volume>, <fpage>1635</fpage>&#x2013;<lpage>1644</lpage>. <pub-id pub-id-type="doi">10.1158/2159-8290.CD-20-0466</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Abrams</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Sepp-Lorenzino</surname>
<given-names>L.</given-names>
</name>
</person-group> (<year>2013</year>). <article-title>Expression of asialoglycoprotein receptor 1 in human hepatocellular carcinoma</article-title>. <source>J. Histochem. Cytochem.</source> <volume>61</volume>, <fpage>901</fpage>&#x2013;<lpage>909</lpage>. <pub-id pub-id-type="doi">10.1369/0022155413503662</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shimada</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mogushi</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Akiyama</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Furuyama</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Watanabe</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Ogura</surname>
<given-names>T.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Comprehensive molecular and immunological characterization of hepatocellular carcinoma</article-title>. <source>EBioMedicine</source> <volume>40</volume>, <fpage>457</fpage>&#x2013;<lpage>470</lpage>. <pub-id pub-id-type="doi">10.1016/j.ebiom.2018.12.058</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>S&#xf8;rensen</surname>
<given-names>A. L.</given-names>
</name>
<name>
<surname>Rumjantseva</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Nayeb-Hashemi</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Clausen</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Hartwig</surname>
<given-names>J. H.</given-names>
</name>
<name>
<surname>Wandall</surname>
<given-names>H. H.</given-names>
</name>
<etal/>
</person-group> (<year>2009</year>). <article-title>Role of sialic acid for platelet life span: Exposure of &#x3b2;-galactose results in the rapid clearance of platelets from the circulation by asialoglycoprotein receptor-expressing liver macrophages and hepatocytes</article-title>. <source>Blood</source> <volume>114</volume>, <fpage>1645</fpage>&#x2013;<lpage>1654</lpage>. <pub-id pub-id-type="doi">10.1182/blood-2009-01-199414</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Liao</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Deng</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>Q.</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>The diagnostic value of assays for circulating tumor cells in hepatocellular carcinoma: A meta-analysis</article-title>. <source>Medicine</source> <volume>96</volume>, <fpage>e7513</fpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000007513</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sung</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Ferlay</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Siegel</surname>
<given-names>R. L.</given-names>
</name>
<name>
<surname>Laversanne</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Soerjomataram</surname>
<given-names>I.</given-names>
</name>
<name>
<surname>Jemal</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>Ca. Cancer J. Clin.</source> <volume>71</volume>, <fpage>209</fpage>&#x2013;<lpage>249</lpage>. <pub-id pub-id-type="doi">10.3322/caac.21660</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Takahashi</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Ofuji</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Hiramatsu</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Nosaka</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Naito</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Matsuda</surname>
<given-names>H.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Circulating tumor cells detected with a microcavity array predict clinical outcome in hepatocellular carcinoma</article-title>. <source>Cancer Med.</source> <volume>10</volume>, <fpage>2300</fpage>&#x2013;<lpage>2309</lpage>. <pub-id pub-id-type="doi">10.1002/cam4.3790</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsuchiya</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Suda</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Oda</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Hosaka</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>N.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>EpCAM- and/or NCAM-expressing hepatocellular carcinoma in which behavior of hepatic progenitor cell marker-positive cells are followed</article-title>. <source>Case Rep. Gastroenterol.</source> <volume>13</volume>, <fpage>118</fpage>&#x2013;<lpage>124</lpage>. <pub-id pub-id-type="doi">10.1159/000498913</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ueno</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mojic</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ohashi</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Higashi</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Hayakawa</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Irimura</surname>
<given-names>T.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>Asialoglycoprotein receptor promotes cancer metastasis by activating the EGFR&#x2013;ERK pathway</article-title>. <source>Cancer Res.</source> <volume>71</volume>, <fpage>6419</fpage>&#x2013;<lpage>6427</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-11-1773</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vona</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Estepa</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>B&#xe9;roud</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Damotte</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Capron</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Nalpas</surname>
<given-names>B.</given-names>
</name>
<etal/>
</person-group> (<year>2004</year>). <article-title>Impact of cytomorphological detection of circulating tumor cells in patients with liver cancer</article-title>. <source>Hepatology</source> <volume>39</volume>, <fpage>792</fpage>&#x2013;<lpage>797</lpage>. <pub-id pub-id-type="doi">10.1002/hep.20091</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>J. Q.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>L. L.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Deng</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Wei</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y. F.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Inhibition of ASGR1 decreases lipid levels by promoting cholesterol excretion</article-title>. <source>Nature</source> <volume>608</volume> (<issue>608</issue>), <fpage>7922413</fpage>&#x2013;<lpage>7922420</lpage>. <pub-id pub-id-type="doi">10.1038/s41586-022-05006-3</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Huo</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Analysis of circulating tumor cells in patients with hepatocellular carcinoma recurrence following liver transplantation</article-title>. <source>J. Investig. Med.</source> <volume>66</volume>, <fpage>1</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1136/jim-2017-000655</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>K-H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>New blood biomarkers for the diagnosis of AFP-negative hepatocellular carcinoma</article-title>. <source>Front. Oncol.</source> <volume>10</volume>, <fpage>1316</fpage>. <pub-id pub-id-type="doi">10.3389/fonc.2020.01316</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Deng</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>MYC promotes LDHA expression through MicroRNA-122-5p to potentiate glycolysis in hepatocellular carcinoma</article-title>. <source>Anal. Cell. Pathol.</source> <volume>2022</volume>, <fpage>1435173</fpage>&#x2013;<lpage>1435217</lpage>. <pub-id pub-id-type="doi">10.1155/2022/1435173</pub-id>
</citation>
</ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Witzigmann</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Quagliata</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Schenk</surname>
<given-names>S. H.</given-names>
</name>
<name>
<surname>Quintavalle</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Terracciano</surname>
<given-names>L. M.</given-names>
</name>
<name>
<surname>Huwyler</surname>
<given-names>J.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Variable asialoglycoprotein receptor 1 expression in liver disease: Implications for therapeutic intervention</article-title>. <source>Hepatol. Res.</source> <volume>46</volume>, <fpage>686</fpage>&#x2013;<lpage>696</lpage>. <pub-id pub-id-type="doi">10.1111/hepr.12599</pub-id>
</citation>
</ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xie</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Xia</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>M.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Deficiency of ASGR1 in pigs recapitulates reduced risk factor for cardiovascular disease in humans</article-title>. <source>PLoS Genet.</source> <volume>17</volume>, <fpage>e1009891</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pgen.1009891</pub-id>
</citation>
</ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Wan</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Mu</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Abu-Khalaf</surname>
<given-names>M. M.</given-names>
</name>
<etal/>
</person-group> (<year>2019</year>). <article-title>Association of clinical outcomes in metastatic breast cancer patients with circulating tumour cell and circulating cell-free DNA</article-title>. <source>Eur. J. Cancer</source> <volume>106</volume>, <fpage>133</fpage>&#x2013;<lpage>143</lpage>. <pub-id pub-id-type="doi">10.1016/j.ejca.2018.10.012</pub-id>
</citation>
</ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Song</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Jia</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Asialoglycoprotein receptor 1 functions as a tumor suppressor in liver cancer via inhibition of STAT3</article-title>. <source>Cancer Res.</source> <volume>82</volume>, <fpage>3987</fpage>&#x2013;<lpage>4000</lpage>. <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-21-4337</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>