<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1523570</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ansofaxine Hydrochloride inhibits hepatocellular carcinoma growth and enhances targeted therapy through the EGFR/MAPK pathway</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>He</surname>
<given-names>Yongfei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2888366/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Tao</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mo</surname>
<given-names>Shutian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Meifeng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jicai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhai</surname>
<given-names>Hang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2432245/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Shengjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3066597/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Guangquan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2074110/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Han</surname>
<given-names>Chuangye</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1142166/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Xianjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital of Sun Yat-sen University</institution>, <addr-line>Shenzhen, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Hepatobiliary Surgery, the First Affiliated Hospital of Guangxi Medical University</institution>, <addr-line>Nanning</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hepatobiliary Surgery, The Affiliated Hospital of Inner Mongolila Medical University</institution>, <addr-line>Huhehaote</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Massimo Broggini, Mario Negri Institute for Pharmacological Research (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shaohua Chen, Guangxi Medical University Cancer Hospital, China</p>
<p>Runsang Pan, Guizhou Provincial People&#x2019;s Hospital, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chuangye Han, <email xlink:href="mailto:hanchuangye@hotmail.com">hanchuangye@hotmail.com</email>; Xianjie Shi, <email xlink:href="mailto:shixj7@mail.sysu.edu.cn">shixj7@mail.sysu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1523570</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>11</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 He, Tao, Mo, Chen, Wang, Zhai, Hong, Gao, Zhang, Han and Shi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>He, Tao, Mo, Chen, Wang, Zhai, Hong, Gao, Zhang, Han and Shi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Hepatocellular carcinoma (HCC) is a common tumor that endangers health. Depression will affect the therapeutic effect of HCC, and depression and HCC promote and influence each other. Ansofaxine Hydrochloride is a novel antidepressant, and its anti-HCC effect remains to be confirmed.</p>
</sec>
<sec>
<title>Objectives</title>
<p>This study aimed to investigate the effect of Ansofaxine Hydrochloride on HCC and its molecular mechanism.</p>
</sec>
<sec>
<title>Methods</title>
<p>The potential targets and signaling pathways of Ansofaxine Hydrochloride against HCC were obtained by network pharmacology, and the key targets were explored by molecular docking techniques. Hepatocellular carcinoma cells were treated with different concentrations of Ansofaxine Hydrochloride, and the effects of Ansofaxine Hydrochloride on the biological function of hepatocellular carcinoma cells were evaluated by CCK8, migration, invasion, and clonal formation tests. Subsequently, a subcutaneous hepatocellular carcinoma mouse model was established to evaluate the effect of Ansofaxine Hydrochloride on the growth of hepatocellular carcinoma tissue <italic>in vivo</italic>, and an enzym-linked immunosorbent assay was used to detect the levels of dopamine (DA) and 5-hydroxytryptamine (5-HT) in peripheral blood. HE and immunohistochemical staining were used to detect the pathological changes of tumor tissue and the types and proportions of macrophages. Finally, the expression levels of key genes in the EGFR/MAPK pathway were detected by Reverse Transcription Real-time Quantitative analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>There are 87 common drug-disease targets between Ansofaxine Hydrochloride and HCC, including EGFR, GRB2, and SRC, which are mainly involved in EGFR, MAPK, and PI3K/AKT signaling pathways. Molecular docking showed that Ansofaxine Hydrochloride has good binding activity to EGFR, GRB2, and other key targets. <italic>In vitro</italic> experiments showed that Ansofaxine Hydrochloride has significant inhibitory effects on proliferation, migration, invasion, and clonal formation of HCC cells. <italic>In vivo</italic> experiments showed that Ansofaxine Hydrochloride has a synergistic effect of enhancingLenvatinib anti-HCC, enhancing peripheral blood DA level, promoting M1 macrophage infiltration, and enhancing immune anti-tumor effects, and is associated with the reduction of EGFR/MAPK pathway-related genes.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our study suggests that Ansofaxine Hydrochloride has anti-HCC and immunomodulatory effects, with the EGFR/MAPK pathway as a potential key mechanism of action.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>Ansofaxine Hydrochloride</kwd>
<kwd>network pharmacology</kwd>
<kwd>EGFR/MAPK pathway</kwd>
<kwd>depression</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="4837"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Molecular Targets and Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the third leading cancer-related cause of death worldwide, causing hundreds of thousands of deaths each year and posing a serious public health challenge (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). At the same time, patients&#x2019; mental health problems have also received more and more attention, and the incidence of depression in cancer patients is significantly higher than that in patients with other diseases (<xref ref-type="bibr" rid="B3">3</xref>). Studies have shown that depression is the most common psychological problem in patients with hepatocellular carcinoma after surgery, resulting in reduced treatment compliance of patients and seriously affecting prognosis (<xref ref-type="bibr" rid="B4">4</xref>). Existing evidence points out that depression promotes the progression of various tumors through the neuroimmune system and affects the therapeutic effect of tumors (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Therefore, there is great clinical value in developing drugs that can treat both tumors and depression.</p>
<p>At present, early hepatocellular carcinoma is often treated with surgery, including hepatectomy and liver transplantation, which can effectively remove tumor tissue. For patients who are not eligible for surgery or are in advanced stages, interventional treatments such as transcatheter chemoembolization and radiofrequency ablation are available as options to control tumor development locally (<xref ref-type="bibr" rid="B8">8</xref>). In recent years, systemic therapy with targeted immunotherapy and local therapy has achieved remarkable results (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Since the approval of small molecule tyrosine kinase inhibitors (TKI) by the U.S. Food and Drug Administration in 2001, targeted drugs with higher potency and lower toxicity have ushered in a golden age of development.Lenvatinib is an oral small-molecule TKI similar to sorafenib.Lenvatinib plays a key role in the treatment of middle and advanced stages and prevention of HCC recurrence, but its efficacy is still poor, mainly related to the resistance ofLenvatinib (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The drug combination is an effective way to solve drug resistance (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, it is necessary to develop new drugs to enhance the efficacy ofLenvatinib while reducing resistance synergistically.</p>
<p>Toxic side effects and drug resistance caused by targeted immunotherapy in anti-tumor treatments can hurt treatment. The combined use of a variety of anti-tumor drugs can induce a synergistic effect and reduce or delay the generation of drug resistance and other adverse factors to improve the overall therapeutic effect. Existing studies show that approximately one quarter of HCC patients suffer from depression. There is a significant association between depression and liver cancer. Depressive mood may increase the risk of liver cancer and accelerate the progression of the disease through multiple mechanisms. At the same time, depression is highly prevalent among liver cancer patients and forms a vicious cycle, requiring comprehensive intervention measures (<xref ref-type="bibr" rid="B4">4</xref>). Some studies have found that the combination of antidepressants and immune checkpoint inhibitors can enhance the anti-tumor immune effect of the body while treating depression (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Monoamine oxidase inhibitors and PD-1 therapy can inhibit the differentiation of macrophages into M2 while inhibiting tumors (<xref ref-type="bibr" rid="B16">16</xref>). Some scholars have also carried out relevant studies on antidepressants in hepatocellular carcinoma. Escitalopram oxalate, a therapeutic drug for major depressive disorder, has anticancer potential and reduces the risk associated with HCC by inducing autophagy to inhibit the proliferation of hepatocellular carcinoma cells (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Ansofaxine Hydrochloride is a novel anti-weight depression drug, and phase III clinical trials have shown that it is well tolerated (<xref ref-type="bibr" rid="B19">19</xref>). Preliminary studies have confirmed that AH can increase the proportion of natural killer cells (NKs) and M1 macrophages in tumor tissues, increase peripheral dopamine levels, and reduce serotonin uptake. Combined treatment with AH may enhance the efficacy of tumor immunotherapy for colon cancer (<xref ref-type="bibr" rid="B20">20</xref>). However, Ansofaxine Hydrochloride has not been studied in the treatment of hepatocellular carcinoma. Therefore, we used Ansofaxine Hydrochloride as an entry point to verify its inhibitory potential against HCC <italic>in vitro</italic> and <italic>in vivo</italic> and to initially elucidate its mechanism of action.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Experimental material</title>
<p>Huh7 and Hepa1&#x2013;6 cells and special media were purchased from Procell (China) and cultured at 37&#xb0;C and 5%CO<sub>2</sub>. Ansofaxine hydrochloride (Cat No.HY-U00096, MCE), Lenvatinib (Cat No.HY-10981, MCE), DA(Dopamine) ELISA Kit (Cat No.D751019, Sangon Biotech), ST/5-HT ELISA Kit (Cat&#xa0;No.D751013, Sangon Biotech), CD86 (Cat No. 83523-4-RR, Proteintech), CD206 (Cat No. 18704-1-AP, Proteintech), Anti-Ki67 Mouse mAb (Cat No. GB121141-100, Servicebio), RP-conjugated Goat Anti-Rabbit IgG(H+L) (Cat No. SA00001-2, Proteintech), HRP-conjugated Goat Anti-Mouse IgG(H+L) (Cat No. SA00001-1, Proteintech), SteadyPure General-purpose RNA Extraction Kit II (AG21022, Steadypure) Accurate Biology), SYBR Green Pro Taq HS Pre-mixed qPCR Kit (AG11702, Accurate Biology), Hematoxylin-Eosin (HE) Stain Kit (G1120, Solarbio), CCK8 solution (BS350B, Biosharp).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Network pharmacology</title>
<sec id="s2_2_1">
<title>2.2.1Target screening of drugs and diseases</title>
<p>Use the PubChem database (<ext-link ext-link-type="uri" xlink:href="https://pubchem.ncbi.nlm.nih.gov/">https://pubchem.ncbi.nlm.nih.gov/</ext-link>) to obtain Ansofaxine hydrochloride structure. Import the PharmMapper database (<ext-link ext-link-type="uri" xlink:href="http://www.lilab-ecust.cn/pharmmapper/">http://www.lilab-ecust.cn/pharmmapper/</ext-link>) the Swiss Target Prediction database (<ext-link ext-link-type="uri" xlink:href="http://www.swisstargetprediction.ch/">http://www.swisstargetprediction.ch/</ext-link>) and the SEA database (<ext-link ext-link-type="uri" xlink:href="https://sea.bkslab.org/">https://sea.bkslab.org/</ext-link>) to obtain related targets. The unique target is obtained after the target name is corrected and unified through the UniProt database (<ext-link ext-link-type="uri" xlink:href="https://www.uniprot.org/">https://www.uniprot.org/</ext-link>) and deduplication. With &#x201c;Hepatocellular carcinoma&#x201d; as the keyword in the OMIM database (<ext-link ext-link-type="uri" xlink:href="https://omim.org/">https://omim.org/</ext-link>) and Genecards database retrieval (<ext-link ext-link-type="uri" xlink:href="https://www.genecards.org/">https://www.genecards.org/</ext-link>), we are to go after the heavy disease targets. In Venny2.1 online software drawing tools platform (<ext-link ext-link-type="uri" xlink:href="https://bioinfogp.cnb.csic.es//tools/venny">https://bioinfogp.cnb.csic.es//tools/venny</ext-link>) on import Ansofaxine targets and Hepatocellular hydrochloride The target of carcinoma is drawn by Wayne diagram, and the common target of drug and disease is obtained after the intersection of the two.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>PPI network construction and core target analysis</title>
<p>The common targets of Ansofaxine hydrochloride-Hepatocellular carcinoma are imported into the STRING database (<ext-link ext-link-type="uri" xlink:href="https://string-db.org/">https://string-db.org/</ext-link>) for search. Set the protein type as &#x201c;Homo sapiens&#x201d; and the minimum interaction threshold as 0.9. The network relationship data of target interactions were obtained and imported into Cytoscape software to map the protein interaction network. The size and color of a node vary according to the degree value of the node. Import the PPI network to Cytoscape 3.9.1, use NetworkAnalyzer to perform topology analysis, and select core targets based on the degree value. A target with a higher degree is more important.</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Enrichment analysis</title>
<p>Use a database of David (<ext-link ext-link-type="uri" xlink:href="https://david.ncifcrf.gov/">https://david.ncifcrf.gov/</ext-link>) to GO and KEGG enrichment analysis of common targets, and the enrichment results are visualized using R language, draw a bar chart bubble chart.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Molecular docking</title>
<p>Compounds from PubChem database (<ext-link ext-link-type="uri" xlink:href="https://pubchem.ncbi.nlm.nih.gov/">https://pubchem.ncbi.nlm.nih.gov/</ext-link>) download SDF format, import the ChemDraw in 3D, to minimize energy use was module, acquiring the advantage of the lowest energy conformation and save as mol2 files, AutodockTools1.5.6 was used to hydrogenate the ligand, charge it, detect the root of the ligand, search and define the rotable bond, and save it as pdbqt file. The 3D structure of the protein was downloaded from the RCSB PDB database (<ext-link ext-link-type="uri" xlink:href="http://www.rcsb.org">www.rcsb.org</ext-link>). PYMOL was used to remove water molecules and small molecules from the protein, then hydrogen atoms were added by AutodockTools1.5.6, and Gasteiger charge was calculated. Define it as a receptor and save it as a pdbqt file. The ligands were docked to the receptors using Autodock vina 1.1.2, and the binding patterns were analyzed and visualized with PYMOL.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>
<italic>In vitro</italic> and <italic>in vivo</italic> experiments</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>CCK8 detection</title>
<p>A total of 5&#xd7;10<sup>3</sup> Huh7 and Hepa1&#x2013;6 cells were inoculated in 96-well plates and cultured for 24 hours. Subsequently, different concentrations of Ansofaxine hydrochloride were added by changing the medium. After 24 hours of intervention, 10&#x3bc;L of CCK8 solution was added to each well and incubated at 37&#xb0;C for another 2 hours. Absorbance (OD) was read at 450 nm using an enzyme-labeler and cell inhibition rates were calculated. Cell inhibition rate (%) = (control group OD- administration group OD)/(control group OD- blank group OD) %.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Migration and invasion experiments</title>
<p>Huh7 and Hepa1&#x2013;6 cells were divided into 2 groups and treated with different concentrations of AH for 24 hours. Matrigel was diluted in serum-free medium in 280ug/ml diluted Transwell chamber (aperture 8&#x3bc;m, Falcon) and incubated at 37&#xb0;C for 60 min for gel polymerization. Cells were collected and resuspended in a serum-free medium. Then, 300&#xb5;L serum-free medium containing 3&#xd7;10<sup>4</sup> cells was added to the Transwell, and 700&#xb5;L medium containing 10% FBS was added to the inferior cavity. The samples were cultured in the incubator for 48 hours, fixed with 4% paraformaldehyde for 30 minutes, and washed twice with PBS. Then add 1% crystal violet to dye for 30 minutes, wash with PBS and residual dye solution. The cells in the upper chamber were gently swabbed with a cotton swab and photographed under a microscope. The bottom surface of the cavity was eluted with 30% acetic acid 300 &#x3bc;L. Add about 100 &#x3bc;L solution to each hole of the 96-well plate. OD values at 590nm were read with an enzyme label.</p>
</sec>
<sec id="s2_4_3">
<label>2.4.3</label>
<title>Cell cloning</title>
<p>Huh7 and Hepa1&#x2013;6 cells were collected and divided into two groups. Cells were added with corresponding concentrations of AH and cultured for 24 hours. Cell counts were collected separately for each group. Six well plates were inoculated with 500 cells/Wells and cultured for 2 weeks until colony formation. The cells were fixed with 4% paraformaldehyde for 30 minutes, washed twice with PBS, and stained with 1% crystal violet for 20 minutes. Colony formation was observed under an inverted microscope and clone formation rate was calculated.</p>
</sec>
<sec id="s2_4_4">
<label>2.4.4</label>
<title>Establishment and administration of animal models</title>
<p>C57BL/6 mouse (male, 4&#x2013;5 weeks old, 18&#x2013;22 g) was purchased from the Animal Experimental Center of Guangxi Medical University. All experiments were approved by the Animal Care and Utilization Committee of the First Affiliated Hospital of Guangxi Medical University (No. 2024-E782-01). Animal ethics review shall be conducted concerning the Guidelines for the Treatment of Experimental Animals of the Ministry of Science and Technology of the People&#x2019;s Republic of China and the national standard GB/T35892&#x2013;2018 Guidelines for the Ethical Review of Experimental Animals - Animal Welfare of the People&#x2019;s Republic of China. A large number of Hepa1&#x2013;6 cells were cultured and 1&#xd7;10<sup>6</sup> Hepa1&#x2013;6 cell suspension was injected subcutaneously into the left axilla of mice to establish a mouse hepatocellular carcinoma model. After tumor growth to 100 mm3, the mice were randomly divided into 4 groups: model group, Ansofaxine hydrochloride group, lenvastinib group, and combined drug group. According to the experimental groups, the model group was given intraperitoneal injection of normal saline (50mg/kg) + intragastric injection of normal saline (10mg/kg). The Ansofaxine hydrochloride group was intraperitoneally injected with Ansofaxine hydrochloride (50mg/kg) + saline hydrochloride (10mg/kg), and theLenvatinib group was intraperitoneally injected with saline (50mg/kg) +Lenvatinib hydrochloride (10mg/kg). Combined group Ansofaxine hydrochloride is injected intraperitoneally (50mg/kg) andLenvatinib hydrochloride is orally administered (10mg/kg), 3 pills in each group. After 7 days of continuous treatment, the tumor growth was monitored every other day for 7 days. The tumor volume was calculated as (width 2&#xd7;length)/2.</p>
</sec>
<sec id="s2_4_5">
<label>2.4.5</label>
<title>ELISA was used to detect DA and 5-HT levels</title>
<p>Follow the ELISA kit instructions for DA and 5-HT. The concentration gradient is set with the standard substance, the standard curve is drawn according to the measured OD value, and the corresponding concentration is found on the coordinate according to the light absorption value of the sample.</p>
</sec>
<sec id="s2_4_6">
<label>2.4.6</label>
<title>RT-qPCR analysis</title>
<p>The SteadyPure Universal RNA Extraction Kit II (Accurate Biology, China) was used to isolate total RNA from Huh and Hepa1&#x2013;6 cells. The RNA was reverse-transcribed into cDNA using the SYBR Green Pro Taq HS premixed qPCR kit, and then the mRNA expression level of related genes was detected by QuantStudio 6 Flex real-time fluorescent quantitative PCR system according to the product experimental protocol. Gene expression (F) =2-&#x25b3;&#x25b3;Ct, &#x25b3;&#x25b3;Ct= (Ct target gene -Ct internal reference) experimental group - (Ct target gene -Ct internal reference) control group. The experiment was repeated three times. The primer sequence is in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primer sequences for RT-qPCR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Gene</th>
<th valign="top" align="left">Forward primer (5&#x2032;&#x2013;3&#x2032;)</th>
<th valign="top" align="left">Reverse primer (5&#x2032;&#x2013;3&#x2032;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">Human</td>
<td valign="top" align="left">
<italic>EGFR</italic>
</td>
<td valign="top" align="left">CTGGGTGCGGAAGAGAAAGAATA</td>
<td valign="top" align="left">CCAAAGGTCATCAACTCCCAAAC</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>RAS</italic>
</td>
<td valign="top" align="left">AGTGCCTTGACGATACAGCTAAT</td>
<td valign="top" align="left">TCCTCATGTACTGGTCCCTCATT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>MEK</italic>
</td>
<td valign="top" align="left">GGAGAGCATTGAGATTGACCAGA</td>
<td valign="top" align="left">CCAAGTTCTCCAGGTCGTTGATT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>ERK</italic>
</td>
<td valign="top" align="left">GTGTTGCAGATCCAGACCATGAT</td>
<td valign="top" align="left">TGCAGCCTACAGACCAAATATCA</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>GRB2</italic>
</td>
<td valign="top" align="left">CCTGGACTTAGCATTGTGAG</td>
<td valign="top" align="left">TTATCATCAGCAGGGAGAG</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>ACTB</italic>
</td>
<td valign="top" align="left">CTCCTTAATGTCACGCACGAT</td>
<td valign="top" align="left">CATGTACGTTGCTATCCAGGC</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Mouse</td>
<td valign="top" align="left">
<italic>Egfr</italic>
</td>
<td valign="top" align="left">GCCACGCCAACTGTACCTAT</td>
<td valign="top" align="left">CACTGCCATTGAACGTACCC</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Ras</italic>
</td>
<td valign="top" align="left">AAAGAGTGCCCTGACCATCC</td>
<td valign="top" align="left">CCCCATCAATGACCACCTGT</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Mek</italic>
</td>
<td valign="top" align="left">TGGGGGTACGCTGAGACATC</td>
<td valign="top" align="left">ATCTTGTCCCACTTTCCAGGC</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Erk</italic>
</td>
<td valign="top" align="left">TCCAACCTCCTGCTGAACAC</td>
<td valign="top" align="left">ATCTGGATCTGCAACACGGG</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Grb2</italic>
</td>
<td valign="top" align="left">GGTTGCTCTGTTGCTTCTGC</td>
<td valign="top" align="left">CACACAATGCCACCCGTGA</td>
</tr>
<tr>
<td valign="top" align="left">
<italic>Actb</italic>
</td>
<td valign="top" align="left">GCCGGACTCATCGTACTCC</td>
<td valign="top" align="left">GTGACGTTGACATCCGTAAAGA</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4_7">
<label>2.4.7</label>
<title>HE staining and immunohistochemistry</title>
<p>Some mouse tumors were fixed in formaldehyde for 24h, dehydrated, waxed, and sliced. The sections of each group were dewaxed and stained with hematoxylin-eosin to observe the pathological changes in tissue structure. Sections were dewaxed, antigens repaired with a citric acid solution, and incubated with H2O2. Sections were sealed with non-immunoreactive serum and incubated overnight with anti-KI67, CD86, and CD206 antibodies. Sections were incubated with secondary antibodies, and stained with DAB, and hematoxylin was retained. The sections were observed and analyzed with an optical microscope.</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>R version 4.4.1 was used for data analysis. T-test analysis was performed for two groups of samples and one-way ANOVA was performed for multiple groups of samples. P&lt;0.05 indicated that the difference between the data was statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>2.1</label>
<title>Ansofaxine hydrochloride target prediction</title>
<p>According to the chemical structure of Ansofaxine hydrochloride, relevant targets were obtained by importing the PharmMapper database, Swiss Target Prediction database, and SEA database, respectively. A total of 299 targets, such as CDK6, STAT1, and MAPK14, were obtained after the target names were corrected and unified by the UniProt database and duplicated.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Screening of common targets of Ansofaxine hydrochloride and Hepatocellular carcinoma</title>
<p>Hepatocellular carcinoma was searched in OMIM and Genecards databases, and 1185 disease targets were obtained after weight removal. A total of 299 drug targets and 1185 disease targets were imported into the Venny2.1 online software mapping tool platform to draw the Wayne diagram. 87 drug-disease common targets such as CYP19A1, HSP90AA1 and EGFR (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>) were obtained after their intersection.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Network pharmacological analysis of Ansofaxine hydrochloride on hepatocellular carcinoma. <bold>(A)</bold> Wayne diagram of intersection genes of Ansofaxine hydrochloride and hepatocellular carcinoma. <bold>(B)</bold> Disease-target-component network diagram. <bold>(C)</bold> Protein interaction network. <bold>(D)</bold> Core target ranking based on PPI topological analysis. GO analysis and KEGG analysis of <bold>(E, F)</bold> core target.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g001.tif">
<alt-text content-type="machine-generated">(A) Venn diagram showing overlap between Ansofaxine Hydrochloride and HCC, with 87 shared elements. (B) Network diagram illustrating connections between HCC and Ansouflaxine Hydrochloride with multiple proteins. (C) Protein interaction network highlighting key proteins in red and orange. (D) Bar graph displaying protein counts, with SRC having the highest value at 22. (E) Dot plot for gene ontology enrichment analysis, with phosphorylation and signal transduction terms. (F) Pathway enrichment analysis dot plot, with significant enrichment in pathways like cancer and PI3K-Akt signaling.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>PPI network construction and core target analysis</title>
<p>To further explore the core targets of the interaction between Ansofaxine hydrochloride and Hepatocellular carcinoma, 87 common targets were imported into the STRING database to construct a PPI network. Topological analysis was carried out by the NetworkAnalyzer tool of Cytoscape 3.9.1, and the top 20 core genes such as SRC, GRB2, and EGFR (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>) were obtained.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Enrichment analysis</title>
<p>The 87 common targets were enriched and analyzed by David database GO to obtain 3 parts: biological process, cell component, and molecular function. GO results showed that the intersection genes were enriched to 498 biological process pathways, 60 cell component expression processes, and 110 molecular function-related processes. A total of 149 KEGG pathways were obtained after KEGG enrichment analysis, mainly in EGFR, MAPK, and PI3K/AKT signaling pathways (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1E, F</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Ansofaxine hydrochloride was used to inhibit the progression of hepatocellular carcinoma <italic>in vitro</italic> and <italic>in vivo</italic>
</title>
<p>The results of the cell proliferation test showed that Ansofaxine hydrochloride had an inhibitory effect on hepatocellular carcinoma cells with the increase of the concentration. Then we divided the cell function test into two groups: A control group and Ansofaxine hydrochloride group (100&#x3bc;M). To investigate the effects of Ansofaxine hydrochloride on cell invasion, migration, and cloning. The results showed that Ansofaxine hydrochloride significantly inhibited the migration, invasion, and clonogenesis of hepatocellular carcinoma cells (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of Ansofaxine hydrochloride on proliferation, plate cloning, migration and invasion of hepatocellular carcinoma cells. <bold>(A)</bold> Effects of different concentrations of Ansofaxine hydrochloride on the proliferation of hepatocellular carcinoma cell lines Huh7 and Hepa1-6. <bold>(B-D)</bold> Effects of Ansofaxine hydrochloride on migration and invasion of hepatocellular carcinoma cell lines Huh7 and Hepa1-6. <bold>(E, F)</bold> Effect of Ansofaxine hydrochloride on clonal formation of hepatoma cell lines Huh7 and Hepa1-6.NC, control group. AH, Ansofaxine hydrochloride group (100&#x3bc;M). *P&lt; 0.05, ***P&lt; 0.001, ****P&lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g002.tif">
<alt-text content-type="machine-generated">Graphical representations and microscopic images demonstrate the effects of Ansofaxine Hydrochloride on cell lines Huh7 and Hepa1-6. Panel A shows a bar graph of cell inhibition rates across different concentrations. Panel B displays migration and invasion assays. Panels C, D, and F present bar graphs comparing optical density for different treatments. Panel E features colony formation images, highlighting differences between the NC and AH treatments.</alt-text>
</graphic>
</fig>
<p>The success rate of the mouse hepatoma xenotransplantation model was 100%. Compared with the control group, Ansofaxine hydrochloride, andLenvatinib hydrochloride can inhibit tumor growth, and the inhibition effect of Ansofaxine hydrochloride is worse than that ofLenvatinib group. However, the combination drug group was superior to the single drug group, and immunohistochemical staining showed that Ki67 was gradually reduced in tumor tissues, especially in the combination drug group. The levels of DA and 5-HT in peripheral blood were significantly higher than those in the control group, suggesting that Ansofaxine hydrochloride inhibits DA and 5-HT uptake (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In addition, to understand the effect of Ansofaxine hydrochloride on the immune microenvironment of hepatocellular carcinoma, we used CD86 and CD206 to stain, suggesting that M1 macrophages increased while M2 macrophages decreased (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Ansofaxine hydrochloride inhibits tumor growth <italic>in vivo</italic>. <bold>(A, B)</bold> hepatocellular carcinoma tissue, and growth curve. <bold>(C)</bold> HE and Ki67 staining. <bold>(D, E)</bold> peripheral blood DA and 5-HT levels. NC, control group. AH, Ansofaxine hydrochloride group. Len, Lenvatinib group. AH+Len, Ansofaxine hydrochloride, and Lenvatinib group. ns, P &gt; 0.05. ****P&lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g003.tif">
<alt-text content-type="machine-generated">Panel A shows histological images comparing CD86 and CD206 expression in Control, AH, Len, and AH+Len groups. Panel B is a bar graph displaying positive area percentages for each group, with significant differences indicated. Panel C is another bar graph showing additional comparisons of positive area percentages. Scale bars in images represent one hundred micrometers.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Ansofaxine hydrochloride improves the immune microenvironment of hepatocellular carcinoma tissue <italic>in vivo</italic>. <bold>(A)</bold> hepatocellular carcinoma tissue CD86 and CD206 staining. Positive areas of <bold>(B, C)</bold> CD86, and CD206. NC, control group. AH, Ansofaxine hydrochloride group. Len, Lenvatinib group. AH+Len, Ansofaxine hydrochloride, and Lenvatinib group. ns, P &gt; 0.05. *P&lt; 0.05, **P&lt; 0.01, ****P&lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g004.tif">
<alt-text content-type="machine-generated">Panel A shows tumors from four groups: Control, AH, Len, and AH+Len on a blue surface. Panel B displays a line graph of tumor volume over time for each group, with AH+Len showing the lowest, illustrating treatment effectiveness. Panel C includes microscopic images of tissue stained with HE and Ki67, showing cell density and proliferation in each group. Panel D is a bar graph of DA levels, with significant differences marked by asterisks. Panel E is a bar graph of 5-HT levels, displaying no significant differences among groups.</alt-text>
</graphic>
</fig>
<p>To explore the key targets and signaling pathways of Ansofaxine hydrochloride for inhibiting hepatocellular carcinoma, we first dock SRC, GRB2, PIK3R1, AKT1, and EGFR, which are in the front of the core genes. Binding energy &lt; -5 kcal/mol indicates good binding activity, and &lt; -7 kcal/mol indicates strong binding activity. The results showed that Ansofaxine hydrochloride binds well to various targets, indicating strong binding activity, and EGFR is a key upstream target gene (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). To verify our conjecture, we further performed PCR experiments. The results showed that Ansofaxine hydrochloride significantly inhibited RAS mRNA expression levels of MEK, ERK, GRB2, and EGFR (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). These results suggest that Ansofaxine hydrochloride may inhibit the progression of hepatocellular carcinoma through EGFR/MAPK.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The key gene is docked to a molecule called Ansofaxine hydrochloride. <bold>(A-E)</bold> are SRC, GRB2, PIK3R1, AKT1, and EGFR.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g005.tif">
<alt-text content-type="machine-generated">Five molecular structures labeled A to E, each with detailed close-ups highlighting binding interactions. Structures include protein backbones in cyan, with specific amino acids and molecules in green. Highlights of key interactions are numbered for distances in angstroms. Labeled residues include TYR-93 for A, ILE-85 for B, ALA-360 for C, GLU-17 for D, and GLU-762 for E, among others, showing precise atomic details.</alt-text>
</graphic>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Ansofaxine hydrochloride inhibits the progression of hepatocellular carcinoma through EGFR/MAPK. Detection and analysis of related gene expression levels in Huh7 and Hepa1&#x2013;6 cells treated with <bold>(A, B)</bold>, Ansofaxine hydrochloride. <bold>(C)</bold> Mechanism diagram of Ansofaxine hydrochloride effect on hepatocarcinoma. NC, control group. AH, Ansofaxine hydrochloride group (100&#x3bc;M). **P&lt; 0.01, ***P&lt; 0.001, ****P&lt; 0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1523570-g006.tif">
<alt-text content-type="machine-generated">Graphs A and B display mRNA expression levels for RAS, MEK, ERK, GRB2, and EGFR, comparing NC (teal) and AH (pink) samples, with significant differences marked by asterisks. Diagram C illustrates the EGFR signaling pathway involving GRB2, RAS, MEK, and ERK, linked to cellular processes like apoptosis, proliferation, metabolism, and survival. An inset shows the liver and a chemical structure.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>With the diagnosis of hepatocellular carcinoma and follow-up treatment, patients face the psychological burden of fear of disease, physical pain, and discomfort, resulting in depression. While depression affects the curative effect, it induces the occurrence and progression of hepatocellular carcinoma, and the progression of hepatocellular carcinoma further aggravates the development of depression. The two influence and promote each other. Inflammatory mediators and neurotransmitters are important mechanisms of depression in hepatocellular carcinoma. Cancer-related depression may be associated with pro-inflammatory mediators, mainly through the kynurenine pathway leading to 5-HT reduction, pro-inflammatory mediators impacting glucocorticoids, affecting the hypothalamic-pituitary-adrenal axis, and toxicity through glutamate excitation (<xref ref-type="bibr" rid="B21">21</xref>). In addition, there is increasing evidence that 5-HT is involved in a variety of liver lesions, 5-HT promotes the malignant behavior of hepatocellular carcinoma cells, and the 5-HT receptor is highly expressed in HCC patients (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>) The three neurotransmitters, 5-HT, dopamine (DA), and norepinephrine (NE), and their metabolites have significant effects on emotional regulation, cognitive performance, and psychological stress response (<xref ref-type="bibr" rid="B24">24</xref>). These neurotransmitters regulate the development of depressive symptoms. Our study showed that peripheral blood DA was significantly elevated in mice treated with Ansofaxine hydrochloride, while 5-HT was comparable to untreated levels, which explains part of the effect of Ansofaxine hydrochloride on HCC.</p>
<p>Epidermal growth factor receptor (EGFR) is highly expressed in various solid tumors such as hepatocellular carcinoma, non-small cell lung cancer, and breast cancer, which promotes the development, metastasis, and invasion of hepatocellular carcinoma by enhancing the downstream signal, increasing mutation frequency and activating abnormal bypass, leading to poor prognosis (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Therefore, intervention strategies targeting EGFR and its downstream pathways provide a new direction for the treatment of tumors. In this study, we found that Ansofaxine hydrochloride can interact with EGFR with good binding energy, and subsequent experiments confirmed that Ansofaxine hydrochloride can significantly reduce the gene expression level of EGFR. It is suggested that Ansofaxine hydrochloride may play an antiseptic role by mediating EGFR. Studies have shown that EGFR is the synthetic lethal target of Lenvatinib and is involved in the formation of Lenvatinib resistance through a variety of pathways such as mediated feedback activation of the signal axis (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Given the inhibitory effect of Ansofaxine hydrochloride on EGFR, we hypothesized that Ansofaxine hydrochloride may synergically enhance the targeting of Lenvatinib. To verify our hypothesis, we combined the two drugs to treat HCC, and the results showed that Ansofaxine hydrochloride can enhance the efficacy of Lenvatinib and is associated with the EGFR pathway. These findings provide a new option for the treatment of hepatocellular carcinoma. In this study, we mainly explored the inhibitory effect of Anshufacine hydrochloride on the growth of hepatoma cells and the EGFR/MAPK pathway. We preliminarily evaluated the effect of its combined use with lenvatinib. However, it is worth noting that this study did not use lenvatinib-resistant strains for the experiment, which, to some extent, limited our in-depth understanding of the efficacy of Anshufacine hydrochloride in the context of drug resistance.</p>
<p>MAPK pathway is key in cell growth, proliferation, differentiation, and apoptosis (<xref ref-type="bibr" rid="B29">29</xref>). In hepatocellular carcinoma, the MAPK pathway is often abnormally activated, leading to uncontrolled cell proliferation, enhanced angiogenesis, immune escape, and chemotherapy resistance, and ultimately promoting tumor growth and metastasis (<xref ref-type="bibr" rid="B30">30</xref>). Studies have shown that Lenvatinib can inhibit the proliferation, angiogenesis, and invasion of hepatoma cells by inhibiting several key kinases in the MAPK pathway, thus blocking downstream signal transduction, and enhancing anti-tumor immune response (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Notably, our study shows that Ansofaxine hydrochloride inhibits the MAPK pathway and collaborates with lenvatinib to exert anti-hepatocellular carcinoma effects vivo. Therefore, the combination of Lenvatinib and antidepressants can not only further inhibit the progression of hepatocellular carcinoma, but also improve the quality of life of patients by improving their depressive symptoms, to achieve the dual purpose of enhancing efficacy and prognosis. However, this theoretical hypothesis needs further clinical trials to verify its efficacy and safety.</p>
<p>HCC tumor microenvironment (TME) is composed of a complex involving tumor-associated macrophages (TAM), natural killer cells, and other immune cells (<xref ref-type="bibr" rid="B33">33</xref>). TAM is the most abundant matrix component of TME in HCC and plays a role in promoting disease progression by enhancing tumor growth, angiogenesis, and metastasis, as well as checkpoint-blocking immunotherapy resistance to targeted drugs (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Therefore, selective targeting of immunosuppressive M2 macrophages in TME is expected to play a synergistic role in the current targeted drugs for HCC. Jing Q et&#xa0;al. &#x2018;s study showed that Ansofaxine hydrochloride promotes the proliferation and infiltration of M1, CD8+T, and NK cells, enhances anti-tumor immunity, and inhibits the growth of colon cancer (<xref ref-type="bibr" rid="B20">20</xref>). To explore the effect of Ansofaxine hydrochloride on hepatocellular carcinoma macrophages, immunohistochemical staining was performed, and it was found that CD86 was significantly increased after Ansofaxine hydrochloride intervention, while CD206 was significantly down-regulated. It is suggested that Ansofaxine hydrochloride may increase M1 macrophage infiltration and decrease M2 macrophage polarization, indicating that Ansofaxine hydrochloride can improve and enhance anti-tumor immunity and play an anti-tumor role.</p>
<p>Although the experimental data of this study have not directly demonstrated the specific mechanism by which Anshufacine hydrochloride induces apoptosis or autophagy in hepatoma cells, existing studies have shown that various antidepressant drugs can affect the survival and death of tumor cells by regulating the expression of apoptosis-related proteins and autophagy-related genes (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Therefore, future studies can further explore whether Anshufacine hydrochloride enhances its anti-liver cancer effect by regulating apoptosis and autophagy pathways. Furthermore, this study found that Anshufacine hydrochloride can enhance the anti-tumor immune response by regulating immune cells in the immune microenvironment. Therefore, future studies can further explore the prospects of the combined application of Anshufacine hydrochloride and immune checkpoint inhibitors. Combination medication may produce a stronger anti-liver cancer effect by simultaneously blocking the immune escape pathway and activating the anti-tumor immune response. In addition, the safety and efficacy of combination therapy can also be evaluated through preclinical experiments, providing a theoretical basis and experimental evidence for future clinical trials. Through this combined treatment strategy, it is expected to provide more personalized and effective treatment plans for liver cancer patients.</p>
<p>Finally, it should be noted that there are some limitations to the study. First of all, the animal experiment in this study only carried out the subcutaneous xenograft tumor hepatocellular carcinoma mouse model, and the subsequent experiment needs to adopt a better orthotopic hepatocellular carcinoma mouse model to simulate the tumor microenvironment more truly. Although we observed significant anti-tumor effects, the limitation of the number of mice might have affected the stability and reliability of the results. Secondly, due to the limitation of experimental conditions, only immunohistochemical staining was carried out to explore the immune microenvironment and flow cytometry was also needed to more accurately identify the types and proportions of macrophages.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Through this study, we preliminarily confirmed that Ansofaxine hydrochloride has the effect of inhibiting hepatocellular carcinoma cell growth and may be closely related to inhibiting EGFR/MAPK. In addition, we found that Ansofaxine hydrochloride also has the effect of increasing M1 macrophages and inhibiting M2 macrophages. The combination of Ansofaxine hydrochloride with Lenvatinib may enhance the efficacy of HCC patients with concomitant depression.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal study was approved by the First Affiliated Hospital of Guangxi Medical University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YH: Methodology, Writing &#x2013; original draft. QT: Writing &#x2013; review &amp; editing. SM: Supervision, Writing &#x2013; original draft. MC: Software, Writing &#x2013; original draft. JW: Formal Analysis, Writing &#x2013; original draft. HZ: Data curation, Writing &#x2013; original draft. SH: Visualization, Writing &#x2013; original draft. QG: Resources, Writing &#x2013; original draft. GZ: Investigation, Validation, Writing &#x2013; original draft. CH: Funding acquisition, Writing &#x2013; review &amp; editing. XS: Conceptualization, Project administration, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the China Postdoctoral Science Foundation(2023M744020), the Shenzhen Municipal Science and Technology Innovation Committee (JCYJ20220818103407016),Shenzhen Basic Research Funding Project (JCYJ20220530144404010&amp;JCYJ20220530144404011), and Futian District Health System Research Project (FTWS2023037).Medical Excellence Award Funded by the Creative Research Development Grant from the First Affiliated Hospital of Guangxi Medical University (grant No.2021006), First-class discipline innovation-driven talent program of Guangxi Medical University, Guangxi Medical and Health Appropriate Technology Development and Application Project (No. S2021100, S2022065), The National Natural Science Foundation of China (No. 81802874,82260548), the Natural Science Foundation of the Guangxi Province of China (Grant No.2024GXNSFAA010347) and Guangxi Key R&amp;D Program (GKEAB18221019) and Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The reviewer SC declared a shared parent affiliation with the author(s) SM, MC, CH to the handling editor at the time of review.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>B</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>K</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Cancer incidence and mortality in China, 2022</article-title>. <source>J Natl Cancer Cent</source>. (<year>2024</year>) <volume>4</volume>(<issue>1</issue>):<page-range>47&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jncc.2024.01.006</pub-id>, PMID: <pub-id pub-id-type="pmid">39036382</pub-id></citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bray</surname> <given-names>F</given-names>
</name>
<name>
<surname>Laversanne</surname> <given-names>M</given-names>
</name>
<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>RL</given-names>
</name>
<name>
<surname>Soerjomataram</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>CA Cancer J Clin</source>. (<year>2024</year>) <volume>74</volume>(<issue>3</issue>):<page-range>229&#x2013;63</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3322/caac.21834</pub-id>, PMID: <pub-id pub-id-type="pmid">38572751</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Endo</surname> <given-names>M</given-names>
</name>
<name>
<surname>Matsui</surname> <given-names>K</given-names>
</name>
<name>
<surname>Akaho</surname> <given-names>R</given-names>
</name>
<name>
<surname>Mitsui</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Imai</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Depressive and anxiety symptoms among Japanese cancer survivors: Japan cancer survivorship research project</article-title>. <source>BMC Cancer</source>. (<year>2022</year>) <volume>22</volume>(<issue>1</issue>):<elocation-id>134</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12885-022-09215-x</pub-id>, PMID: <pub-id pub-id-type="pmid">35109805</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tan</surname> <given-names>DJH</given-names>
</name>
<name>
<surname>Quek</surname> <given-names>SXZ</given-names>
</name>
<name>
<surname>Yong</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Suresh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Koh</surname> <given-names>KXM</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>WH</given-names>
</name>
<etal/>
</person-group>. <article-title>Global prevalence of depression and anxiety in patients with hepatocellular carcinoma: Systematic review and meta-analysis</article-title>. <source>Clin Mol Hepatol</source>. (<year>2022</year>) <volume>28</volume>:<page-range>864&#x2013;75</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3350/cmh.2022.0136</pub-id>, PMID: <pub-id pub-id-type="pmid">36263668</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sommershof</surname> <given-names>A</given-names>
</name>
<name>
<surname>Scheuermann</surname> <given-names>L</given-names>
</name>
<name>
<surname>Koerner</surname> <given-names>J</given-names>
</name>
<name>
<surname>Groettrup</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Chronic stress suppresses anti-tumor T(CD8+) responses and tumor regression following cancer immunotherapy in a mouse model of melanoma</article-title>. <source>Brain Behav Immun</source>. (<year>2017</year>) <volume>65</volume>:<page-range>140&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbi.2017.04.021</pub-id>, PMID: <pub-id pub-id-type="pmid">28457810</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>W</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Chronic stress-induced immune dysregulation in cancer: implications for initiation, progression, metastasis, and treatment</article-title>. <source>Am J Cancer Res</source>. (<year>2020</year>) <volume>10</volume>(<issue>5</issue>):<page-range>1294&#x2013;307</page-range>., PMID: <pub-id pub-id-type="pmid">32509380</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>FJ</given-names>
</name>
<name>
<surname>Huo</surname> <given-names>RR</given-names>
</name>
<name>
<surname>Li</surname> <given-names>FR</given-names>
</name>
<name>
<surname>You</surname> <given-names>XM</given-names>
</name>
</person-group>. <article-title>Associations of tumor-related psychiatric symptoms and healthy behaviors with dynamic quality of life after hepatocellular carcinoma hepatectomy</article-title>. <source>Support Care Cancer</source>. (<year>2024</year>) <volume>32</volume>(<issue>9</issue>):<elocation-id>589</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00520-024-08790-y</pub-id>, PMID: <pub-id pub-id-type="pmid">39141259</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sankar</surname> <given-names>K</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>J</given-names>
</name>
<name>
<surname>Osipov</surname> <given-names>A</given-names>
</name>
<name>
<surname>Miles</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Kosari</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nissen</surname> <given-names>NN</given-names>
</name>
<etal/>
</person-group>. <article-title>Recent advances in the management of hepatocellular carcinoma</article-title>. <source>Clin Mol Hepatol</source>. (<year>2024</year>) <volume>30</volume>(<issue>1</issue>):<page-range>1&#x2013;15</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3350/cmh.2023.0125</pub-id>, PMID: <pub-id pub-id-type="pmid">37482076</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Llovet</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Pinyol</surname> <given-names>R</given-names>
</name>
<name>
<surname>Yarchoan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Singal</surname> <given-names>AG</given-names>
</name>
<name>
<surname>Marron</surname> <given-names>TU</given-names>
</name>
<name>
<surname>Schwartz</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinoma</article-title>. <source>Nat Rev Clin Oncol</source>. (<year>2024</year>) <volume>21</volume>(<issue>4</issue>):<page-range>294&#x2013;311</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41571-024-00868-0</pub-id>, PMID: <pub-id pub-id-type="pmid">38424197</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Geng</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>AX</given-names>
</name>
<name>
<surname>Bernards</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Precision treatment in advanced hepatocellular carcinoma</article-title>. <source>Cancer Cell</source>. (<year>2024</year>) <volume>42</volume>(<issue>2</issue>):<page-range>180&#x2013;97</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ccell.2024.01.007</pub-id>, PMID: <pub-id pub-id-type="pmid">38350421</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>S</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Effect of transcatheter arterial chemoembolization combined with lenvatinib plus anti-PD-1 antibodies in patients with unresectable hepatocellular carcinoma: A treatment with Chinese characteristics</article-title>. <source>Biosci Trends</source>. (<year>2024</year>) <volume>18</volume>(<issue>1</issue>):<page-range>42&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.5582/bst.2023.01326</pub-id>, PMID: <pub-id pub-id-type="pmid">38325823</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qin</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Han</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>D</given-names>
</name>
<name>
<surname>Ran</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Lenvatinib in hepatocellular carcinoma: Resistance mechanisms and strategies for improved efficacy</article-title>. <source>Liver Int</source>. (<year>2024</year>) <volume>44</volume>(<issue>8</issue>):<page-range>1808&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/liv.15953</pub-id>, PMID: <pub-id pub-id-type="pmid">38700443</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fan</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Fleishman</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>ZS</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>HH</given-names>
</name>
</person-group>. <article-title>New insights into the mechanism of resistance to lenvatinib and strategies for lenvatinib sensitization in hepatocellular carcinoma</article-title>. <source>Drug Discov Today</source>. (<year>2024</year>) <volume>29</volume>(<issue>8</issue>):<elocation-id>104069</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.drudis.2024.104069</pub-id>, PMID: <pub-id pub-id-type="pmid">38936692</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schneider</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Heeb</surname> <given-names>L</given-names>
</name>
<name>
<surname>Beffinger</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Pantelyushin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Linecker</surname> <given-names>M</given-names>
</name>
<name>
<surname>Roth</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Attenuation of peripheral serotonin inhibits tumor growth and enhances immune checkpoint blockade therapy in murine tumor models</article-title>. <source>Sci Transl Med</source>. (<year>2021</year>) <volume>13</volume>:<fpage>eabc8188</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/scitranslmed.abc8188</pub-id>, PMID: <pub-id pub-id-type="pmid">34524861</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>YC</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Targeting monoamine oxidase A for T cell-based cancer immunotherapy</article-title>. <source>Sci Immunol</source>. (<year>2021</year>) <volume>6</volume>(<issue>59</issue>):<elocation-id>eabh2383</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/sciimmunol.abh2383</pub-id>, PMID: <pub-id pub-id-type="pmid">33990379</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>YC</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>F</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Targeting monoamine oxidase A-regulated tumor-associated macrophage polarization for cancer immunotherapy</article-title>. <source>Nat Commun</source>. (<year>2021</year>) <volume>12</volume>(<issue>1</issue>):<elocation-id>3530</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-021-23164-2</pub-id>, PMID: <pub-id pub-id-type="pmid">34112755</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chan</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Chiu</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>VC</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>KY</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>TN</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>SSRIs associated with decreased risk of hepatocellular carcinoma: A population-based case-control study</article-title>. <source>Psychooncology</source>. (<year>2018</year>) <volume>27</volume>(<issue>1</issue>):<page-range>187&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pon.4493</pub-id>, PMID: <pub-id pub-id-type="pmid">28666060</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Hsu</surname> <given-names>TC</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>HL</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>CF</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Stewart</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Protective effect of escitalopram on hepatocellular carcinoma by inducing autophagy</article-title>. <source>Int J Mol Sci</source>. (<year>2022</year>) <volume>23</volume>(<issue>16</issue>):<elocation-id>9247</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms23169247</pub-id>, PMID: <pub-id pub-id-type="pmid">36012510</pub-id></citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sakurai</surname> <given-names>H</given-names>
</name>
<name>
<surname>Yonezawa</surname> <given-names>K</given-names>
</name>
<name>
<surname>Tani</surname> <given-names>H</given-names>
</name>
<name>
<surname>Mimura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bauer</surname> <given-names>M</given-names>
</name>
<name>
<surname>Uchida</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Novel antidepressants in the pipeline (Phase II and III): A systematic review of the US clinical trials registry</article-title>. <source>Pharmacopsychiatry.</source> (<year>2022</year>) <volume>55</volume>(<issue>4</issue>):<page-range>193&#x2013;202</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1055/a-1714-9097</pub-id>, PMID: <pub-id pub-id-type="pmid">35045580</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jing</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Wan</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Nie</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Ansofaxine hydrochloride inhibits tumor growth and enhances Anti-TNFR2 in murine colon cancer model</article-title>. <source>Front Pharmacol</source>. (<year>2023</year>) <volume>14</volume>:<fpage>1286061</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2023.1286061</pub-id>, PMID: <pub-id pub-id-type="pmid">38161697</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Polity&#x144;ska</surname> <given-names>B</given-names>
</name>
<name>
<surname>Pokorska</surname> <given-names>O</given-names>
</name>
<name>
<surname>Wojtukiewicz</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Sawicka</surname> <given-names>M</given-names>
</name>
<name>
<surname>My&#x15b;liwiec</surname> <given-names>M</given-names>
</name>
<name>
<surname>Honn</surname> <given-names>KV</given-names>
</name>
<etal/>
</person-group>. <article-title>Is depression the missing link between inflammatory mediators and cancer</article-title>? <source>Pharmacol Ther</source>. (<year>2022</year>) <volume>240</volume>:<fpage>108293</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.pharmthera.2022.108293</pub-id>, PMID: <pub-id pub-id-type="pmid">36216210</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Balakrishna</surname> <given-names>P</given-names>
</name>
<name>
<surname>George</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hatoum</surname> <given-names>H</given-names>
</name>
<name>
<surname>Mukherjee</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Serotonin pathway in cancer</article-title>. <source>Int J Mol Sci</source>. (<year>2021</year>) <volume>22</volume>(<issue>3</issue>):<elocation-id>1268</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms22031268</pub-id>, PMID: <pub-id pub-id-type="pmid">33525332</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ren</surname> <given-names>L</given-names>
</name>
<name>
<surname>Miao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Qu</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>MiR-34a targets SNAI1 and is essential for 5-hydroxytryptamine induced epithelial mesenchymal transition in liver cancer</article-title>. <source>Minerva Gastroenterol (Torino)</source>. (<year>2022</year>) <volume>68</volume>:<page-range>363&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.23736/S2724-5985.21.03041-2</pub-id>, PMID: <pub-id pub-id-type="pmid">34792315</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>T</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>K</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Dysfunction of neurotransmitter metabolism is associated with the severity of depression in first-diagnosed, drug-na&#xef;ve depressed patients</article-title>. <source>J Affect Disord</source>. (<year>2024</year>) <volume>349</volume>:<page-range>332&#x2013;41</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jad.2024.01.023</pub-id>, PMID: <pub-id pub-id-type="pmid">38199403</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ramirez</surname> <given-names>CFA</given-names>
</name>
<name>
<surname>Lieftink</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>EGFR activation limits the response of liver cancer to lenvatinib</article-title>. <source>Nature</source>. (<year>2021</year>) <volume>595</volume>:<page-range>730&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-03741-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34290403</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Co-administration of MDR1 and BCRP or EGFR/PI3K inhibitors overcomes lenvatinib resistance in hepatocellular carcinoma</article-title>. <source>Front Oncol</source>. (<year>2022</year>) <volume>12</volume>:<fpage>944537</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2022.944537</pub-id>, PMID: <pub-id pub-id-type="pmid">36158676</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lim</surname> <given-names>M</given-names>
</name>
<name>
<surname>Franses</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Imperial</surname> <given-names>R</given-names>
</name>
<name>
<surname>Majeed</surname> <given-names>U</given-names>
</name>
<name>
<surname>Tsai</surname> <given-names>J</given-names>
</name>
<name>
<surname>Hsiehchen</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>EGFR/ERBB2 amplifications and alterations associated with resistance to lenvatinib in hepatocellular carcinoma</article-title>. <source>Gastroenterology</source>. (<year>2023</year>) <volume>164</volume>:<fpage>1006</fpage>&#x2013;<lpage>1008.e3</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.gastro.2023.01.023</pub-id>, PMID: <pub-id pub-id-type="pmid">36708791</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>T</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>W</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>X</given-names>
</name>
<name>
<surname>Su</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Inhibition of EGFR overcomes acquired lenvatinib resistance driven by STAT3-ABCB1 signaling in hepatocellular carcinoma</article-title>. <source>Cancer Res</source>. (<year>2022</year>) <volume>82</volume>:<page-range>3845&#x2013;57</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/0008-5472.CAN-21-4140</pub-id>, PMID: <pub-id pub-id-type="pmid">36066408</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shannon</surname> <given-names>L</given-names>
</name>
<name>
<surname>Jens</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Walter K J I J M S. Targeting MAPK signaling in cancer: mechanisms of drug resistance and sensitivity</article-title>. <source>Int J Mol Sci</source>. (<year>2020</year>) <volume>21</volume>(<issue>3</issue>):<elocation-id>1102</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ijms21031102</pub-id>, PMID: <pub-id pub-id-type="pmid">32046099</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hyuk</surname> <given-names>M</given-names>
</name>
<name>
<surname>Simon Weonsang</surname> <given-names>RJC</given-names>
</name>
</person-group>. <article-title>MAPK/ERK signaling pathway in hepatocellular carcinoma</article-title>. <source>Cancers (Basel)</source>. (<year>2021</year>) <volume>13</volume>(<issue>12</issue>):<elocation-id>3026</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers13123026</pub-id>, PMID: <pub-id pub-id-type="pmid">34204242</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>YN</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>KT</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Lenvatinib for hepatocellular carcinoma: From preclinical mechanisms to anti-cancer therapy</article-title>. <source>Biochim Biophys Acta Rev Cancer</source>. (<year>2020</year>) <volume>1874</volume>(<issue>1</issue>):<elocation-id>188391</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbcan.2020.188391</pub-id>, PMID: <pub-id pub-id-type="pmid">32659252</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>MMP</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>LL</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>SL</given-names>
</name>
</person-group>. <article-title>The role of lenvatinib in the era of immunotherapy of hepatocellular carcinoma</article-title>. J <source>Liver Cancer</source>. (<year>2023</year>) <volume>23</volume>(<issue>2</issue>):<page-range>262&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.17998/jlc.2023.07.17</pub-id>, PMID: <pub-id pub-id-type="pmid">37589044</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>G</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kong</surname> <given-names>X</given-names>
</name>
<name>
<surname>Rong</surname> <given-names>D</given-names>
</name>
<name>
<surname>Song</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Targeting immune cells in the tumor microenvironment of HCC: new opportunities and challenges</article-title>. <source>Front Cell Dev Biol</source>. (<year>2021</year>) <volume>9</volume>:<fpage>775462</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcell.2021.775462</pub-id>, PMID: <pub-id pub-id-type="pmid">34869376</pub-id></citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng</surname> <given-names>K</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>N</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Tumor-associated macrophages in liver cancer: From mechanisms to therapy</article-title>. <source>Cancer Commun (Lond)</source>. (<year>2022</year>) <volume>42</volume>:<page-range>1112&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cac2.12345</pub-id>, PMID: <pub-id pub-id-type="pmid">36069342</pub-id></citation></ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Donne</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lujambio</surname> <given-names>AJH</given-names>
</name>
</person-group>. <article-title>The liver cancer immune microenvironment: Therapeutic implications for hepatocellular carcinoma</article-title>. <source>Hepatology</source>. (<year>2023</year>) <volume>77</volume>:<page-range>1773&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/hep.32740</pub-id>, PMID: <pub-id pub-id-type="pmid">35989535</pub-id></citation></ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Klionsky</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>Induction of autophagy-dependent ferroptosis to eliminate drug-tolerant human retinoblastoma cells</article-title>. <source>Cell Death Dis</source>. (<year>2022</year>) <volume>13</volume>:<fpage>521</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41419-022-04974-8</pub-id>, PMID: <pub-id pub-id-type="pmid">35654783</pub-id></citation></ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nikolic</surname> <given-names>I</given-names>
</name>
<name>
<surname>Lazovic</surname> <given-names>A</given-names>
</name>
<name>
<surname>Stanisavljevic</surname> <given-names>I</given-names>
</name>
<name>
<surname>Andjelkovic</surname> <given-names>M</given-names>
</name>
<name>
<surname>Popovic</surname> <given-names>S</given-names>
</name>
<name>
<surname>Pavlovic</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Duloxetine&#x2019;s potential dual antitumor and immunomodulatory role in apoptosis and autophagy signaling pathways in cancer: <italic>In Vitro</italic> and <italic>In Vivo</italic> evidence</article-title>. <source>Eur J Pharm Sci</source>. (<year>2025</year>) <volume>212</volume>:<fpage>107165</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejps.2025.107165</pub-id>, PMID: <pub-id pub-id-type="pmid">40505838</pub-id></citation></ref>
</ref-list>
</back>
</article>