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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1081980</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1081980</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Promotion of colorectal cancer cell death by ezetimibe <italic>via</italic> mTOR signaling-dependent mitochondrial dysfunction</article-title>
<alt-title alt-title-type="left-running-head">Zheng 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/fphar.2023.1081980">10.3389/fphar.2023.1081980</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Yuanyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1991179/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Wenjuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jia</surname>
<given-names>Yewei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Liwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/517009/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname>
<given-names>Jiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1611772/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Ziqi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jingjing</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2164386/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dai</surname>
<given-names>Weiqi</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1960197/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Xuanfu</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1766170/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Jianye</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Yingqun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Chuanyong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/686908/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology</institution>, <institution>Shanghai Tenth People&#x27;s Hospital</institution>, <institution>Tongji University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Emergency</institution>, <institution>Shanghai Tenth People&#x27;s Hospital</institution>, <institution>School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Internal Medicine 3</institution>, <institution>Friedrich-Alexander-University Erlangen-N&#xfc;rnberg (FAU) and Universit&#xe4;tsklinikum Erlangen</institution>, <addr-line>Erlangen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Gastroenterology</institution>, <institution>Shidong Hospital</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Gastroenterology</institution>, <institution>Putuo People&#x2019;s Hospital</institution>, <institution>Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</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/342067/overview">Zhenhua Chen</ext-link>, Jinzhou Medical University, China</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/614315/overiew">Shiow-Lin Pan</ext-link>, Taipei Medical University, Taiwan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1811320/overview">Magesh Muthu</ext-link>, Wayne State University, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Chuanyong Guo, <email>guochuanyong@hotmail.com</email>; Yingqun Zhou, <email>yqzh02@163.com</email>; Xuanfu Xu, <email>shuanfusky@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Pharmacology of Anti-Cancer Drugs, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1081980</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zheng, Yang, Jia, Ji, Wu, Feng, Li, Cheng, Zhang, Li, Dai, Xu, Wu, Zhou and Guo.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zheng, Yang, Jia, Ji, Wu, Feng, Li, Cheng, Zhang, Li, Dai, Xu, Wu, Zhou and Guo</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>Introduction:</bold> Colorectal cancer (CRC) is the fourth most common cancer worldwide, with high morbidity and mortality rates. In recent years, high-fat diet has been shown to increase CRC morbidity, highlighting the possibility of the application of hypolipidemic drugs for CRC treatment. In this study, we preliminarily evaluated the effects and mechnisms of ezetimibe against CRC through the blockage of lipid absorption in small intesine.</p>
<p>
<bold>Methods:</bold> In this study, CRC cell proliferation, invasion, apoptosis, and autophagy were evaluated using cellular and molecular assays. Fluorescent microscopy, and a flow cytometric assay were used to assess mitochondrial activity <italic>in vitro</italic>. A subcutaneous xenograft mouse model was used to evaluate the effects of ezetimibe <italic>in vivo</italic>.</p>
<p>
<bold>Results:</bold> We found that ezetimibe inhibited CRC cell proliferation, and migration, and facilitated autophage-associated apoptosis in HCT116 and Caco2 cells. Ezetimibe-induced mitochondrial dysfunction in CRC cells was found to be correlated with mTOR signaling activity.</p>
<p>
<bold>Discussion:</bold> Ezetimibe exhibits effects against CRC through the promotion of cancer cell death <italic>via</italic> mTOR signaling-dependent mitochondrial dysfunction, highlighting its potential value in CRC therapy.</p>
</abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>cell death</kwd>
<kwd>ezetimibe</kwd>
<kwd>MTOR signaling</kwd>
<kwd>mitochondrial dysfunction</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Colorectal cancer (CRC), is one of the most frequently occurring digestive malignancies worldwide and accounts for approximately 9.4% and 10.1% of all cancers in man and woman (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>; <xref ref-type="bibr" rid="B4">Benson et al., 2018</xref>). Environmental and hereditary factors, such as diet, dysbacteriosis, and genetic variations, have been found to be the most significant risk factors for CRC morbidity (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>; <xref ref-type="bibr" rid="B15">Grady, 2003</xref>; <xref ref-type="bibr" rid="B13">Garrett, 2019</xref>; <xref ref-type="bibr" rid="B46">Vernia et al., 2021</xref>). The main treatment strategies for CRC include endoscopic therapy for early stage CRC and radical surgery with adjuvant systemic therapy for advanced CRC (<xref ref-type="bibr" rid="B3">Benson et al., 2014</xref>; <xref ref-type="bibr" rid="B4">Benson et al., 2018</xref>). Preventing of CRC etiology and optimizing systemic therapeutic strategies against the disease are both beneficial strategies for improving overall CRC patient survival.</p>
<p>Laboratory-based and clinical studies have found high dietary fat intake, as well as bile acid metabolism by gut microbiota, account for the increasing risk of CRC incidence (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>; <xref ref-type="bibr" rid="B13">Garrett, 2019</xref>; <xref ref-type="bibr" rid="B35">Ocvirk and O&#x27;Keefe, 2021</xref>). Previous study on correlations between CRC and cholesterol metabolism provided evidence of confirming serum cholesterol as carcinogenic factor on CRC progression, and an abnormal accumulation of formed secondary bile acids also presented promoting effects on CRC (<xref ref-type="bibr" rid="B18">Jacobs et al., 2012</xref>). Thus, drugs that target lipid metabolism may have potential benefits in CRC adjuvant therapy. Stain, an HMG-CoA reductase inhibitor which exerts significant effects in lowering cholesterin (TC) and low-density lipoprotein (LDL) levels, was found to exhibit protective effects against CRC by reducing the dilatation activity and enhancing the chemotherapeutic sensitivity of CRC cells (<xref ref-type="bibr" rid="B1">Bardou et al., 2010</xref>). In addition, studies have demonstrated the anti-tumor effects of fibrates, which function mainly in reducing LDL and triglyceride (TG) levels, against CRC and other digestive neoplasms (<xref ref-type="bibr" rid="B6">Chen et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Kong et al., 2021</xref>; <xref ref-type="bibr" rid="B23">Li et al., 2021</xref>). Cholesterol accumulation, which exceeded the ability of liver conversion and intestinal absorption, was reported as high risk factor of CRC (<xref ref-type="bibr" rid="B47">Waluga et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Gu et al., 2022</xref>). Squalene epoxidase (SQLE), a cholesterol synthesis promoting factor, has been proved to suppress the apoptosis of CRC cells and lead to poor disease outcome (<xref ref-type="bibr" rid="B24">Li et al., 2022</xref>). And the inhibition impacts of cholesterol on CRC cell apoptosis has also been reported <italic>via</italic> miR-33a-PIM3 pathway (<xref ref-type="bibr" rid="B49">Wang et al., 2019</xref>). As ezetimibe blocks lipid absorption in the small intesines, which is the main organ for bile acid re-absorption, it may also have potential anti-CRC effects, even though correlational approaches to prove this are lacking. Furthermore, the high toxicity of adjuvant chemotherapy may partially counteract its benefits in CRC patients, especially in older patients under combined chemotherapeutic regimens (<xref ref-type="bibr" rid="B32">Moth et al., 2016</xref>; <xref ref-type="bibr" rid="B4">Benson et al., 2018</xref>). Studies on novel candidates for adjuvant therapy against CRC, which focus on reversing damages counteracted benefits, are still being carried out. In this study, we preliminarily investigated the effects and possible mechanisms of ezetimibe against CRC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Medications and antibodies</title>
<p>Ezetimibe and MHY1485 were purchased from MedChemExpress (Shanghai, China). Anti-&#x3b2;-actin antibodies were purchased from Sigma-Aldrich. Anti-mTOR, anti-caspase-8, and anti-caspase-9 antibodies were obtained from Cell Signaling Technology, Inc. Anti-MMP-9 and anti-MMP-2 were purchased from Abcam. Anti-caspase-3 antibodies were purchased from Abmart. Anti-MTOR<sup>pSer2448</sup>, anti-Beclin-1, anti-LC3, anti-BAX and anti-Bcl-2 antibodies were obtained from ProteinTech, Inc. Other reagents and kits are listed under the corresponding methods.</p>
</sec>
<sec id="s2-2">
<title>Cell culture</title>
<p>The two human colorectal carcinoma cell lines, HCT116 and Caco2, were obtained from the cell bank of the Chinese academy of sciences. The cell culture fluid used for cultivating HCT116 cells was the RPMI-1640 medium supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin. DMEM supplemented with 10% FBS and 1% penicillin-streptomycin was used to culture Caco2 cells. The temperature of the cell culture incubator was set at 37&#xb0;C and it contained 5% CO2 and humidified air.</p>
</sec>
<sec id="s2-3">
<title>Cell viability assay</title>
<p>HCT116 and Caco2 cells were seeded and incubated in 96-well plates. After 12&#xa0;h of incubation for cell attachment, ezetimibe was added to each group (6 wells per group) at increasing concentrations (0, 1, 2, 4, 8, 16, 32, 64, and 128&#xa0;&#x3bc;M in culture medium). Cell viability was evaluated at 24 and 48&#xa0;h with Cell-Counting-Kit-8 reagent (MedChemExpress), which detected by using a microplate reader (450&#xa0;nm). This assay was repeated thrice. The half maximal inhibitory concentration (IC<sub>50</sub>) was calculated using GraphPad Prism 9.0 (GraphPad Software).</p>
</sec>
<sec id="s2-4">
<title>Scratch assay</title>
<p>HCT116 and Caco2 cells were seeded in 6-well plates and cultured normally for 36&#xa0;h and then starved separately for 12&#xa0;h. Then, scratches were made on the surface of the cells in each well using 100-&#x3bc;L sterile pipette tips. Subsequently, phosphate buffer saline (PBS) was used to wash off cell debris and then ezetimibe was added into each well (0, 20, 40, and 60&#xa0;&#x3bc;M ezetimibe in the HCT116 cell culture medium; 0, 40, 60, and 80&#xa0;&#x3bc;M ezetimibe in the Caco2 cell culture medium). The wound area was photographed using an optical microscope at 0, 24, and 48&#xa0;h. ImageJ 1.8.0 (National Institutes of Health) was used to measure the wound area.</p>
</sec>
<sec id="s2-5">
<title>Clone formation assay</title>
<p>CRC cells were seeded and cultured in 6-well plates and differently treated with ezetimibe refer to the concentrations in scratch assay for 48&#xa0;h. Then, the cells were cultured for another 2 weeks in normal culture medium. A 0.1% crystal violet solution was used for clone staining after 30&#xa0;min of fixation using 4% paraformaldehyde. ImageJ 1.8.0 was used to count cell colonies.</p>
</sec>
<sec id="s2-6">
<title>Fluorescence microscopic assay</title>
<sec id="s2-6-1">
<title>Apoptosis detection using Hoechst33258</title>
<p>HCT116 and Caco2 cells were seeded and cultured in 96-well plates. After cell adherence, ezetimibe was added to each well following to the concentrations in scratch assay. Then, the cells were stained with Hoechst33258 in lucifuge after fixation using 4% paraformaldehyde. The nuclear morphology of colon cells was captured by fluorescence microscopy after the cells were washed with PBS.</p>
</sec>
<sec id="s2-6-2">
<title>Mitochondrial membrane potential measurement using JC-1</title>
<p>The enhanced mitochondrial membrane potential assay kit and JC-1 (Beyotime Institute of Biotechnology) were used to assess the mitochondrial membrane potential (&#x25b3;&#x3a8;m) of ezetimibe-treated CRC cells. HCT116 and Caco2 cells were seeded and treated with ezetimibe in 6-well plates with previous mentioned concentrations for 48&#xa0;h. Then, the cells were incubated with JC-1 for 20&#xa0;min at 37&#xb0;C and washed twice with JC-1 dyeing buffer. The fluorescence intensities of JC-1 monomers (excitation wavelength: 490&#xa0;nm; emission wavelength: 530&#xa0;nm) and aggregates (excitation wavelength: 525&#xa0;nm; emission wavelength: 590&#xa0;nm) were measured by fluorescence microscopy.</p>
</sec>
<sec id="s2-6-3">
<title>Evaluation of intracellular reactive oxygen species (ROS) using the ROS kit</title>
<p>The Reactive Oxygen Species Assay Kit (Beyotime Institute of Biotechnology) was used to detect intracellular ROS-oxidized 2&#x2032;-7&#x2032; DCF. CRC cells (HCT116 and Caco2) were cultured with ezetimibe followed the mentioned concentrations in stratch assay for 48&#xa0;h in 6-well plates. DCFH-DA was diluted with serum-free medium and loaded onto CRC-containing wells for ROS detection. After incubating the cells for 20&#xa0;min at 37&#xb0;C in a cell incubator and washing them twice with serum free medium, intracellular CRC cell ROS levels were measured by fluorescence microscopy (excitation wavelength: 488&#xa0;nm; emission wavelength: 525&#xa0;nm).</p>
</sec>
</sec>
<sec id="s2-7">
<title>Flow cytometric assay</title>
<sec id="s2-7-1">
<title>Evaluation of apoptosis using Annexin V-FITC/PI</title>
<p>The Annexin V-FITC Apoptosis Detection Kit (Beyotime Institute of Biotechnology) was used to evaluate apoptosis. HCT116 and Caco2 cells were treated with incremental concentrations of ezetimibe as previous and harvested after 48&#xa0;h into flow tubes. Then, the cells were washed with PBS and dyed with Annexin V-FITC/propidium iodide (PI) for 20&#xa0;min in the dark. Fluorescence signals were detected using a BD LSRFortessa&#x2122; (Becton, Dickinson and Company) device.</p>
</sec>
<sec id="s2-7-2">
<title>&#x25b3;&#x3a8;m monitoring using JC-1</title>
<p>HCT116 and Caco2 were treated and dyed as described for the JC-1 fluorescence microscopic assay. Then, the cells were harvested and resuspended in JC-1 dyeing buffer. Finally, fluorescence signals for JC-1 monomers and aggregates were detected using the BD LSRFortessa&#x2122; device.</p>
</sec>
<sec id="s2-7-3">
<title>Evaluation of intracellular ROS expression using the ROS kit</title>
<p>HCT116 and Caco2 cells were intervened and stained following the specifications for the fluorescence microscopic assay for ROS. The two CRC cell types were collected and subjected to flow cytometric analysis using the BD LSRFortessa&#x2122; device.</p>
</sec>
<sec id="s2-7-4">
<title>Bioinformatics-based exploration of ezetimibe-targeted genes and molecular mechanisms</title>
<p>Ezetimibe-targeted genes were searched in the Comparative Toxicogenomics Database (NC State University) and Drugbank online (OMx Personal Health Analytics, Inc.) using the key word, &#x201c;ezetimibe.&#x201d; String version 11.5 (ELIXIR) was used to display the corresponding protein interaction networks of the targeted genes. Then, the genes were retrieved in the Gene Expression Profiling Interactive Analysis (GEPIA) (Peking university) database for the determination of the expression levels of the genes in CRC and normal tissues. Differentially expressed targeted genes were further searched to determine gene expression at different CRC stages; in addition, these genes were retrieved in the GEPIA database for the comparison of patient overall survival between the high and low expression groups. The correlation between the expression levels of several key metabolic genes and ezetimibe-targeted genes were also searched in the GEPIA database.</p>
</sec>
<sec id="s2-7-5">
<title>Protein detection by western blotting</title>
<p>CRC cells were treated with ezetimibe as previous for 48&#xa0;h, then collected and washed with PBS. The RIPA lysis buffer with PMSF and a protein phosphatase inhibitor were used to prepare the cell lysis buffer. The proteins were quantified using the Enhanced BCA Protein Assay Kit (Beyotime Institute of Biotechnology) and then heat-denatured using the loading buffer (Epizyme Biotech) at 95&#xb0;C for 5&#xa0;min. Sodium dodecyl sulfate polyacrylamide gel electrophoresis was used for protein separation in each group. Then, the proteins were transferred onto Polyvinylidene fluoride (PVDF) membranes (Millipore Corp.) and blocked with the Protein Free Rapid Blocking Buffer (Epizyme Biotech). Protein bands were incubated with the corresponding primary antibodies for 12&#xa0;h at 4&#xb0;C (anti-&#x3b2;-actin, anti-MTORpSer2448, anti-mTOR, anti-caspase-3, anti-caspase-8, anti-caspase-9, anti-MMP-9, anti-MMP-2, anti-p-62, anti-LC3, anti-BAX, and anti-Bcl-2 in antibody diluent, New cell &#x26; Molecular Biotech CO., Ltd., WB500D). Next, the bands were washed with Tris Buffered Saline Tween and incubated with HRP-linked secondary antibodies for 1&#xa0;h. BeyoECL Moon (Beyotime Institute of Biotechnology) was used to visualize the protein bands and Amersham Imager 600 (Cytiva) was used to capture optical signals.</p>
</sec>
<sec id="s2-7-6">
<title>Assessment of RNA transcription through qRT-PCR analysis</title>
<p>Total RNA was extracted from CRC cells treated with ezetimibe following the instructions of the EZ-press RNA Purification Kit (EZBioscience) manufacturer. NanoDrop One/One&#x1d9c; (Thermo Fisher scientific) was used to determine the concentration and purity of the purified RNA. A total purified RNA quantity of 1&#xa0;&#x3bc;g was obtained from each group and reverse transcribed to obtain cDNA following the instructions of the PrimeScript&#x2122; RT reagent Kit (Takara Bio) manufacturer. Forward and reverse primers were obtained from Generay Biotechnology and are listed in <xref ref-type="table" rid="T1">Table 1</xref> qRT-PCR was performed using the Hieff UNICON<sup>&#xae;</sup> qPCR SYBR Green Master Mix (Yeasen) and the amplification products were detected using the QuantStudio Dx Real-Time PCR device (Thermo Fisher scientific). &#x3b2;-actin gene expression was monitored as the control, and the 2<sup>&#x25b3;&#x25b3;CT</sup> formula was used to calculate the relative expression levels of the evaluated genes.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Clinical features and correlations to GLS, HIF1-&#x3b1;, mTOR, TNF, p53 for the 29 ezetimibe targeted genes marked by the Comparative Toxicogenomics Database and Drugbank.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Target genes</th>
<th rowspan="2" align="center">Gene expression difference between colon cancer and normal tissue</th>
<th rowspan="2" align="center">Gene expression difference between colon cancer stages</th>
<th rowspan="2" align="center">Correlation between gene expression and overall survival</th>
<th colspan="5" align="center">Correlations between ezetimibe targeted genes and key energy metabolism indicators in colon cancer</th>
</tr>
<tr>
<th align="center">GLS</th>
<th align="center">HIF1-&#x3b1;</th>
<th align="center">mTOR</th>
<th align="center">TNF</th>
<th align="center">P53</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">NPC1L1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.488 pr (&#x3e;F) 0.691</td>
<td align="center">Logrank p 0.44</td>
<td align="center">p0.95 R0.0036 &#x2a;&#x2a;</td>
<td align="center">p0.31 R0.058</td>
<td align="center">p0.29 R-0.06</td>
<td align="center">p0.5 R-0.038</td>
<td align="center">p0.33 R0.054</td>
</tr>
<tr>
<td align="center">HMGCR</td>
<td align="center">&#x2a;</td>
<td align="center">F value 0.987 pr (&#x3e;F) 0.399</td>
<td align="center">Logrank p 0.097</td>
<td align="center">p0.37 R0.051</td>
<td align="center">p0.0085 R0.15 &#x2a;&#x2a;</td>
<td align="center">p3.1e-7 R0.28 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.85 R-0.011</td>
<td align="center">p0.28 R0.062</td>
</tr>
<tr>
<td align="center">APOA1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.406 pr (&#x3e;F) 0.749</td>
<td align="center">Logrank p 0.24</td>
<td align="center">p0.0013 R0.18 &#x2a;&#x2a;</td>
<td align="center">p0.54 R-0.034</td>
<td align="center">p0.67 R-0.024</td>
<td align="center">p0.79 R-0.015</td>
<td align="center">p0.19 R-0.074</td>
</tr>
<tr>
<td align="center">LDLR</td>
<td align="center">&#x2a;</td>
<td align="center">F value 1.12 pr (&#x3e;F) 0.34</td>
<td align="center">Logrank p 0.3</td>
<td align="center">p0.27 R0.063</td>
<td align="center">p9.1e-7 R0.27 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.00035 R0.2 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.059 R0.11</td>
<td align="center">p0.097 R0.094</td>
</tr>
<tr>
<td align="center">SREBF2</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.816 pr (&#x3e;F) 0.487</td>
<td align="center">Logrank p 0.27</td>
<td align="center">p0.13 R0.086</td>
<td align="center">p0.0061R0.15 &#x2a;&#x2a;</td>
<td align="center">p8.9e-16 R0.43 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.011 R0.14 &#x2a;</td>
<td align="center">p0.33 R0.055</td>
</tr>
<tr>
<td align="center">ABCB11</td>
<td align="center">&#x2014;</td>
<td align="center">F value 1.53 pr (&#x3e;F) 0.207</td>
<td align="center">Logrank p 0.94</td>
<td align="center">p0.029 R-0.12 &#x2a;</td>
<td align="center">p0.61 R-0.029</td>
<td align="center">p0.44 R-0.044</td>
<td align="center">p0.9 R-0.0068</td>
<td align="center">p0.0025 R-0.17 &#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">CRP</td>
<td align="center">-</td>
<td align="center">F value 1.03 pr (&#x3e;F) 0.38</td>
<td align="center">-</td>
<td align="center">p0.55 R-0.034</td>
<td align="center">p0.42 R-0.045</td>
<td align="center">p0.11 R-0.089</td>
<td align="center">p0.91 R-0.0064</td>
<td align="center">p0.059 R0.11</td>
</tr>
<tr>
<td align="center">SREBF1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.355 pr (&#x3e;F) 0.785</td>
<td align="center">Logrank p 0.29</td>
<td align="center">p0.016 R-0.14 &#x2a;</td>
<td align="center">p4.2e-6 R0.26 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p1.3e-5 R0.24 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.42 R0.045</td>
<td align="center">p1.1e-6 R0.27 &#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">TNF</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.739 pr (&#x3e;F) 0.53</td>
<td align="center">Logrank p 0.22</td>
<td align="center">p0.71 R0.021</td>
<td align="center">p0.001 R0.18 &#x2a;&#x2a;</td>
<td align="center">p0.057 R0.11</td>
<td align="center">-</td>
<td align="center">p0.96 R0.0027</td>
</tr>
<tr>
<td align="center">ABCA1</td>
<td align="center">&#x2a;</td>
<td align="center">F value 0.687 pr (&#x3e;F) 0.561</td>
<td align="center">Logrank p 0.23</td>
<td align="center">p0.098 R0.093</td>
<td align="center">p&#x3c;0.001 R0.54 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p5.3e-7 R0.28 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p2.3e-5 R0.24 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.025 R-0.13 &#x2a;</td>
</tr>
<tr>
<td align="center">NR1H2</td>
<td align="center">&#x2014;</td>
<td align="center">F value 1.55 pr (&#x3e;F) 0.201</td>
<td align="center">Logrank p 0.26</td>
<td align="center">p0.012 R-0.14 &#x2a;</td>
<td align="center">p0.0051 R0.16 &#x2a;&#x2a;</td>
<td align="center">p0.07 R0.1</td>
<td align="center">p0.00017 R0.21 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.065 R -0.1</td>
</tr>
<tr>
<td align="center">PCSK9</td>
<td align="center">&#x2a;</td>
<td align="center">F value 0.6 pr (&#x3e;F) 0.615</td>
<td align="center">Logrank p 0.67</td>
<td align="center">p0.67 R-0.024</td>
<td align="center">p6.4e-5 R0.22 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p2.4e-5 R0.24 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.46 R0.042</td>
<td align="center">p4.2e-5 R0.23 &#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">PGR</td>
<td align="center">&#x2a;</td>
<td align="center">F value 3.64 pr (&#x3e;F) 0.0133 &#x2a;</td>
<td align="center">Logrank p 0.021 &#x2a;</td>
<td align="center">p0.14 R-0.082</td>
<td align="center">p0.0037 R0.16 &#x2a;&#x2a;</td>
<td align="center">p0.06 R0.11</td>
<td align="center">p0.31 R0.057</td>
<td align="center">p0.0034 R-0.16 &#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">PLA2G7</td>
<td align="center">&#x2a;</td>
<td align="center">F value 1.57 pr (&#x3e;F) 0.198</td>
<td align="center">Logrank p 0.85</td>
<td align="center">p0.0094 R0.15 &#x2a;&#x2a;</td>
<td align="center">p&#x3c;0.001 R0.45 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.00026 R0.2 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p2.4e-9 R0.33 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.64 R-0.026</td>
</tr>
<tr>
<td align="center">RARG</td>
<td align="center">-</td>
<td align="center">F value 1.49 pr (&#x3e;F) 0.218</td>
<td align="center">Logrank p 0.55</td>
<td align="center">p0.064 R0.1</td>
<td align="center">p0.17 R0.077</td>
<td align="center">p0.00024 R0.21 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.64 R0.026</td>
<td align="center">p0.61 R0.029</td>
</tr>
<tr>
<td align="center">SCARB1</td>
<td align="center">&#x2a;</td>
<td align="center">F value 0.917 pr (&#x3e;F) 0.433</td>
<td align="center">Logrank p 0.33</td>
<td align="center">p0.011 R0.14 &#x2a;</td>
<td align="center">p0.015 R-0.14 &#x2a;</td>
<td align="center">p0.27 R0.062</td>
<td align="center">p0.45 R-0.043</td>
<td align="center">p0.003 R0.17 &#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">UGT1A1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 1.57 pr (&#x3e;F) 0.197</td>
<td align="center">Logrank p 0.91</td>
<td align="center">p0.68 R0.023</td>
<td align="center">p0.42 R-0.046</td>
<td align="center">p0.35 R-0.063</td>
<td align="center">p0.64 R-0.026</td>
<td align="center">p0.011 R-0.14 &#x2a;</td>
</tr>
<tr>
<td align="center">UGT1A3</td>
<td align="center">-</td>
<td align="center">F value 2.61 pr (&#x3e;F) 0.0519</td>
<td align="center">Logrank p 0.26</td>
<td align="center">p0.0011 R0.18 &#x2a;&#x2a;</td>
<td align="center">p0.14 R-0.083</td>
<td align="center">p0.26 R-0.064</td>
<td align="center">p0.57 R-0.032</td>
<td align="center">p0.091 R-0.095</td>
</tr>
<tr>
<td align="center">UGT2B15</td>
<td align="center">-</td>
<td align="center">F value 0.058 pr (&#x3e;F) 0.982</td>
<td align="center">Logrank p 0.027 &#x2a;</td>
<td align="center">p0.00038 R-0.2 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.63 R0.027</td>
<td align="center">p0.88 R-0.0087</td>
<td align="center">p0.9 R0.0072</td>
<td align="center">p0.00039 R-0.2 &#x2a;&#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">UGT2B7</td>
<td align="center">&#x2014;</td>
<td align="center">F value 2.48 pr (&#x3e;F) 0.0681</td>
<td align="center">Logrank p 0.041 &#x2a;</td>
<td align="center">p0.61 R0.029</td>
<td align="center">p0.93 R-0.0046</td>
<td align="center">p0.82 R-0.013</td>
<td align="center">p0.53 R-0.036</td>
<td align="center">p0.85 R0.011</td>
</tr>
<tr>
<td align="center">SOAT1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.45 pr (&#x3e;F) 0.717</td>
<td align="center">Logrank p 0.69</td>
<td align="center">p0.039 R0.12 &#x2a;</td>
<td align="center">p8.9e-16 R0.43 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p6.8e-6 R0.25 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.0022 R0.17 &#x2a;&#x2a;</td>
<td align="center">p0.64 R0.027</td>
</tr>
<tr>
<td align="center">ANPEP</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.127 pr (&#x3e;F) 0.944</td>
<td align="center">Logrank p 0.21</td>
<td align="center">p0.42 R0.046 &#x2a;</td>
<td align="center">p0.73 R-0.02</td>
<td align="center">p0.74 R-0.019</td>
<td align="center">p0.93 R-0.0052</td>
<td align="center">p0.0023 R-0.17 &#x2a;&#x2a;</td>
</tr>
<tr>
<td align="center">CYP3A4</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.615 pr (&#x3e;F) 0.606</td>
<td align="center">Logrank p 0.25</td>
<td align="center">p0.0022 R0.17 &#x2a;&#x2a;</td>
<td align="center">p0.5 R-0.038</td>
<td align="center">p0.51 R-0.037</td>
<td align="center">p0.82 R-0.013</td>
<td align="center">p0.12 R-0.087</td>
</tr>
<tr>
<td align="center">CYP2C8</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.324 pr (&#x3e;F) 0.808</td>
<td align="center">Logrank p 0.32</td>
<td align="center">p0.049 R0.11 &#x2a;</td>
<td align="center">p0.71 R-0.021</td>
<td align="center">p0.87 R-0.0089</td>
<td align="center">p0.96 R-0.0031</td>
<td align="center">p0.096 R-0.094</td>
</tr>
<tr>
<td align="center">ABCC2</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.912 pr (&#x3e;F) 0.436</td>
<td align="center">Logrank p 0.28</td>
<td align="center">p2.8e-8 R0.31 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.054 R-0.11</td>
<td align="center">p0.22 R0.069</td>
<td align="center">p0.21 R-0.071</td>
<td align="center">p0.34 R0.054</td>
</tr>
<tr>
<td align="center">ABCB1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 1.54 pr (&#x3e;F) 0.204</td>
<td align="center">Logrank p 0.42</td>
<td align="center">p0.0036 R0.16 &#x2a;&#x2a;</td>
<td align="center">p0.062 R-0.11</td>
<td align="center">p0.84 R0.011</td>
<td align="center">p0.98 R-0.0012</td>
<td align="center">p0.17 R-0.078</td>
</tr>
<tr>
<td align="center">ABCC3</td>
<td align="center">&#x2a;</td>
<td align="center">F value 4.67 pr (&#x3e;F) 0.00338 &#x2a;&#x2a;</td>
<td align="center">Logrank p 0.62</td>
<td align="center">p0.0056 R-0.16 &#x2a;&#x2a;</td>
<td align="center">p0.24 R-0.067</td>
<td align="center">p1e-6 R0.27 &#x2a;&#x2a;&#x2a;</td>
<td align="center">p0.97 R-0.0019</td>
<td align="center">p0.095 R-0.094</td>
</tr>
<tr>
<td align="center">SLCO1B1</td>
<td align="center">&#x2014;</td>
<td align="center">F value 1.59 pr (&#x3e;F) 0.193</td>
<td align="center">Logrank p 0.26</td>
<td align="center">p0.37 R-0.051</td>
<td align="center">p0.5 R0.0038</td>
<td align="center">p0.32 R-0.056</td>
<td align="center">p0.5 R-0.038</td>
<td align="center">p0.014 R0.14 &#x2a;</td>
</tr>
<tr>
<td align="center">ABCG2</td>
<td align="center">&#x2014;</td>
<td align="center">F value 0.831 pr (&#x3e;F) 0.478</td>
<td align="center">Logrank p 0.7</td>
<td align="center">p0.96 R-0.0028</td>
<td align="center">p0.32 R-0.056</td>
<td align="center">p0.19 R-0.073</td>
<td align="center">p0.3 R0.058</td>
<td align="center">p7.1e-5 R-0.22 &#x2a;&#x2a;&#x2a;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-7-7">
<title>Animals</title>
<p>Male BALB/c-nu mice aged 4&#x2013;6-weeks were purchased from Shanghai SLAC Laboratory Animal CO. Ltd. (Organization code no. 74616122-2) and raised in Shanghai Rat&#x26;Mouse Biotech Co., Ltd. (Organization code no. 59814249-1). HCT116 cells were injected into the right subcutaneous part of each mouse before the mice were randomly divided into two groups (<italic>n</italic> &#x3d; 5). Ezetimibe, suspended in corn oil, was intragastrically administered to each mouse in the treatment group at a daily dose of 50&#xa0;mg/Kg. In addition, mice in the control group were intragastrically administered the same quantity of corn oil once daily. Then, the mice were anesthetized and sacrificed after 3 weeks of intervention. The weight of each mouse and the size of the subcutaneous tumor were recorded. Next, mouse hepatic, nephric, and xenograft tumor tissues were collected. The tissues were subjected to Hematoxylin and Eosin (HE) and immunohistochemical staining, and observed under a light microscope; next, the tissues were fixed with 4% araformaldehyde and paraffin-embedded. Tissues for transmission electron microscopic analysis were fixed with the 2.5% glutaraldehyde fixing solution (SenBeiJia Biological Technology Co., Ltd.).</p>
</sec>
<sec id="s2-7-8">
<title>Statistical analysis</title>
<p>SPSS 24.0 (IBM) was used to calculate statistical differences between groups. Min-max (MM) normalization was applied for data before quantitative analysis (<xref ref-type="bibr" rid="B8">Din&#xe7; et al., 2014</xref>). One-way analysis of variance was used for multiple group analyses, and Student&#x2019;s <italic>t</italic>-test was used for comparison between two groups. Values of <italic>p</italic> value &#x3c; 0.05 were considered statistically significant. Experiments were carried out in triplicate.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Ezetimibe promotes CRC cell death</title>
<p>Ezetimibe suppressed CRC cell viability by decreasing their proliferation, inhibiting their migration, and facilitating their apoptosis. The CCK-8 assay showed that ezetimibe significantly inhibited HCT116 cell proliferation (<xref ref-type="fig" rid="F1">Figure 1B</xref>), as well as Caco2 cell proliferation (<xref ref-type="fig" rid="F1">Figure 1C</xref>), in a dose-dependent manner; the concentration gradients for subsequent experiments were strictly determined based on the ezetimibe IC<sub>50</sub> values obtained in the two CRC cell lines. Optical microscopic analysis revealed a significant increase in growth arrest-associated cell death in the CRC cell lines with increase in ezetimibe concentrations at 48&#xa0;h (<xref ref-type="fig" rid="F2">Figure 2A</xref>). The findings of the clone formation assay also demonstrated the cytostatic action of ezetimibe on these CRC cell lines (<xref ref-type="fig" rid="F1">Figure 1D</xref>). The scratch assay showed that ezetimibe attenuated CRC cell migration (<xref ref-type="fig" rid="F1">Figures 1E, F</xref>). Hoechst 33258 staining and flow cytometry (Annexin V-FITC/PI staining) were performed to evaluate the CRC cell apoptosis under ezetimibe treatment. The proportion of apoptotic cells with condensed and fragmented nuclei significantly increased with increase in ezetimibe effective concentrations at 48&#xa0;h (<xref ref-type="fig" rid="F2">Figure 2D</xref>). Annexin V-FITC/PI staining also showed a significant increase in CRC cell apoptosis (<xref ref-type="fig" rid="F2">Figure 2E</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Ezetimibe suppresses the CRC cell activity by decreasing its proliferation and restraining its migration. <bold>(A)</bold> Chemical structure of ezetimibe. <bold>(B)</bold> Effects of ezetimibe on the viability of HCT116 at 24 and 48&#xa0;h detected by CCK-8 assay. <bold>(C)</bold> Effects of ezetimibe on the viability of Caco2 at 24 and 48&#xa0;h detected by CCK-8 assay. <bold>(D)</bold> The variations of clone formation for HCT116 and Caco2 cells under gradient ezetimibe treatment at 48&#xa0;h. <bold>(E)</bold> The wound healing capacity for HCT116 under gradient ezetimibe treatment at 0, 24 and 48&#xa0;h. Scale bar, 100&#xa0;&#x3bc;M. <bold>(F)</bold> The wound healing capacity for Caco2 under gradient ezetimibe treatment at 0, 24 and 48&#xa0;h. Scale bar, 100&#xa0;&#x3bc;M &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g001.tif"/>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Ezetimibe promotes the CRC cell death with mitochondrial dysfunction. <bold>(A)</bold> Morphological changes of HCT116 and Caco2 cells under gradient ezetimibe treatment at 48&#xa0;h. <bold>(B)</bold> Fluorescence intensity of DCF in gradient ezetimibe treated HCT116 and Caco2 cells with microscopic observation. Scale bar, 100&#xa0;&#x3bc;M. <bold>(C)</bold> Fluorescence intensity of JC-1 in gradient ezetimibe treated HCT116 and Caco2 cells with microscopic observation. Scale bar, 100&#xa0;&#x3bc;M. <bold>(D)</bold> Apoptosis of HCT116 and Caco2 cells under gradient ezetimibe treatment with hoechst33258 staining. Scale bar, 100&#xa0;&#x3bc;M. <bold>(E)</bold> Apoptosis of HCT116 and Caco2 cells under gradient ezetimibe treatment with Annexin V-FITC/PI staining flow cytometry. <bold>(F)</bold> Fluorescence intensity of JC-1 in gradient ezetimibe treated HCT116 and Caco2 cells with flow cytometry. <bold>(G)</bold> Fluorescence intensity of DCF in gradient ezetimibe treated HCT116 and Caco2 cells with flow cytometry. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>Ezetimibe promotes CRC cell death by inducing mitochondrial damage in these cancerous cells</title>
<p>The effective lethal concentration of ezetimibe was found to decrease the &#x25b3;&#x3a8;m of CRC cells and increase ROS levels in these cells. The decrease in &#x25b3;&#x3a8;m is revealed by an upregulation of the JC-1 monomer/aggregate ratio, which was observed when effective ezetimibe concentrations in the treatment and control group were compared. HCT116 and Caco2 cells showed a significant decrease in &#x25b3;&#x3a8;m both in the fluoresce microscopic analysis (<xref ref-type="fig" rid="F2">Figure 2C</xref>) and the flow cytometric assay (<xref ref-type="fig" rid="F2">Figure 2F</xref>) when effective concentrations in the treatment and control group were compared. Intracellular ROS levels, as determined using 2&#x2032;,7&#x2032;-Dichlorodihydrofluorescein diacetate (DCFH-DA), were found to increase in the ezetimibe treatment groups as compared to the control group in both HCT116 and Caco2 cells with fluorescence microscopy and flow cytometry (<xref ref-type="fig" rid="F2">Figure 2B, G</xref>). Relative FITC-A positive against negative fluorescence intensity of dichlorofluorescein (DCF) was calculated between the ezetimibe treated and control groups in a fold range manner for the flow cytometric assay.</p>
</sec>
<sec id="s3-3">
<title>Ezetimibe induced mitochondrial dysfunction in colonic cancerous cells by inhibiting the mTOR signaling pathway</title>
<p>Our bioinformatics analysis revealed a significant correlation between ezetimibe and mTOR signaling in CRC cells. A total of 29 ezetimibe-targeted genes were marked based on data obtained from the Comparative Toxicogenomics Database and Drugbank (<xref ref-type="fig" rid="F3">Figure 3A</xref>); these genes mainly clustered into groups of key elements under both glycometabolism and lipometabolism (<xref ref-type="fig" rid="F3">Figure 3B</xref>). The expression levels of eight out of the 29 targeted genes, including <italic>ABCA1</italic>, <italic>ABCC3</italic>, <italic>HMGCR</italic>, <italic>LDLR</italic>, <italic>PCSK9</italic>, <italic>PGR</italic>, <italic>PLA2G7</italic>, <italic>and SCARB1</italic>, were significantly different between colonic tumor tissues and normal tissues (<xref ref-type="fig" rid="F3">Figure 3C</xref>). The expression levels of <italic>PGR</italic> and <italic>ABCC3</italic> were significantly different between the colorectal cancer stages (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F3">Figure 3E</xref>). In addition, <italic>PGR</italic>, as well as <italic>UGT2B15</italic> and <italic>UGT2B7</italic>, which were the non-tumor-related genes identified among the 29 targeted genes, were found to be related to overall survival in CRC patients (<xref ref-type="table" rid="T1">Table 2</xref>; <xref ref-type="fig" rid="F3">Figure 3I</xref>). Among the eight tumor-related genes, <italic>ABCA1</italic> and <italic>PLA2G7</italic> were found to be significantly related to TNF (<xref ref-type="table" rid="T1">Table 2</xref>). Three of the eight colonic tumor-related genes, <italic>ABCA1</italic>, <italic>PLA2G7</italic>, and <italic>SCARB1</italic>, were significantly correlated with GLS (<xref ref-type="table" rid="T1">Table 2</xref>), the main enzyme for glutamate metabolism. <italic>ABCA</italic>, <italic>PCSK9</italic>, <italic>PGR</italic>, and <italic>SCARB1</italic> were found to be significantly associated with p53 (<xref ref-type="table" rid="T1">Table 2</xref>). As concerns the mTOR signaling pathway, six of the eight targeted genes were found to be significantly associated with mTOR, and seven of these genes were significantly associated with downstream HIF1-&#x3b1;: <italic>HMGCR</italic>, <italic>LDLR</italic>, <italic>ABCA1</italic>, <italic>PCSK9</italic>, <italic>PLA2G7</italic>, and <italic>ABCC3</italic> for mTOR<italic>,</italic> and <italic>HMGCR</italic>, <italic>LDLR</italic>, <italic>ABCA1</italic>, <italic>PCSK9</italic>, <italic>PGR</italic>, <italic>PLA2G7</italic>, and <italic>SCARB1</italic> for HIF1-&#x3b1; (<xref ref-type="table" rid="T1">Table 2</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Bioinformatic based explorations of ezetimibe targeted genes and clinical correlations for CRC related ones. <bold>(A)</bold> The Comparative Toxicogenomics Database and Drugbank online based retrieval of targeted genes for ezetimibe. <bold>(B)</bold> Protein string for the retrieved targeted genes. <bold>(C)</bold> The Gene Expression Profiling Interactive Analysis (GEPIA) based expression fold changes between tumor and normal tissue in CRC patients. <bold>(D&#x2013;K)</bold> GEPIA based CRC related expressed genes (ABCA1, ABCC3, HMGCR, LDLR, PCSK9, PGR, PLA2G7, SCARB1) and the correlations with their expressions to CRC stages, and to CRC overall survival. &#x2a;<italic>p</italic> &#x3c; 0.05.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Forward and reverse primers of &#x3b2;-actin, mTOR, Beclin-1, LC3 I, LC3 II, BAX and BCL2 for qRT-PCR analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Genes</th>
<th align="left"/>
<th align="center">Primer sequence</th>
<th align="center">Base number</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">&#x3b2;-actin</td>
<td align="left">Forward</td>
<td align="left">CAT&#x200b;GTA&#x200b;CGT&#x200b;TGC&#x200b;TAT&#x200b;CCA&#x200b;GGC</td>
<td align="center">21</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">CTC&#x200b;CTT&#x200b;AAT&#x200b;GTC&#x200b;ACG&#x200b;CAC&#x200b;GAT</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">mTOR</td>
<td align="left">Forward</td>
<td align="left">TCC&#x200b;GAG&#x200b;AGA&#x200b;TGA&#x200b;GTC&#x200b;AAG&#x200b;AGG</td>
<td align="center">21</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">CAC&#x200b;CTT&#x200b;CCA&#x200b;CTC&#x200b;CTA&#x200b;TGA&#x200b;GGC</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">Beclin-1</td>
<td align="left">Forward</td>
<td align="left">ACC&#x200b;TCA&#x200b;GCC&#x200b;GAA&#x200b;GAC&#x200b;TGA&#x200b;AG</td>
<td align="center">20</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">AAC&#x200b;AGC&#x200b;GTT&#x200b;TGT&#x200b;AGT&#x200b;TCT&#x200b;GAC&#x200b;A</td>
<td align="center">22</td>
</tr>
<tr>
<td align="center">LC3 I</td>
<td align="left">Forward</td>
<td align="left">AAC&#x200b;ATG&#x200b;AGC&#x200b;GAG&#x200b;TTG&#x200b;GTC&#x200b;AAG</td>
<td align="center">21</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">GCT&#x200b;CGT&#x200b;AGA&#x200b;TGT&#x200b;CCG&#x200b;CGA&#x200b;T</td>
<td align="center">19</td>
</tr>
<tr>
<td align="center">LC3 II</td>
<td align="left">Forward</td>
<td align="left">GAT&#x200b;GTC&#x200b;CGA&#x200b;CTT&#x200b;ATT&#x200b;CGA&#x200b;GAG&#x200b;C</td>
<td align="center">22</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">TTG&#x200b;AGC&#x200b;TGT&#x200b;AAG&#x200b;CGC&#x200b;CTT&#x200b;CTA</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">BAX</td>
<td align="left">Forward</td>
<td align="left">CCC&#x200b;GAG&#x200b;AGG&#x200b;TCT&#x200b;TTT&#x200b;TCC&#x200b;GAG</td>
<td align="center">21</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">CCA&#x200b;GCC&#x200b;CAT&#x200b;GAT&#x200b;GGT&#x200b;TCT&#x200b;GAT</td>
<td align="center">21</td>
</tr>
<tr>
<td align="center">BCL2</td>
<td align="left">Forward</td>
<td align="left">GGT&#x200b;GGG&#x200b;GTC&#x200b;ATG&#x200b;TGT&#x200b;GTG&#x200b;G</td>
<td align="center">19</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Reverse</td>
<td align="left">CGG&#x200b;TTC&#x200b;AGG&#x200b;TAC&#x200b;TCA&#x200b;GTC&#x200b;ATC&#x200b;C</td>
<td align="center">22</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Molecular level evaluation revealed the apoptosis-inducing, autophagy-activating, and invasion-inhibiting effects of ezetimibe on CRC cells through the downregulation of phosphorylated mTOR. mTOR<sup>pSer2448</sup> levels were found to decrease in HCT116 cells and Caco2 cells (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>) following treatment with effective ezetimibe concentrations; in addition we found no significant differences in mTOR on mRNA and protein expression levels between the two cell lines (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). Cysteinyl aspartate-specific proteinases were activated 24&#xa0;h following effective ezetimibe treatment. The protein levels of the activated cleaved fragments of caspase-8 and caspase-9, which are the cascade initiators of caspase cell death, increased in CRC cells under ezetimibe treatment, as well as activated caspase-3, the apoptotic executioner (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>). The expression levels of BAX and Bcl-2, which are regulators of mitochondrial outer membrane permeability (MOMP), were also found to be significantly different between the ezetimibe-treated and control groups. The expression levels of pro-apoptotic BAX were found to increase with increase in ezetimibe dose on both protein and mRNA level; And the expression levels of Bcl-2, which has anti-apoptotic effects, exhibited an inverse trend to those of BAX in HCT116 cells and Caco2 cells (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). Beclin-1, the main autophagy protein, exhibited an increasing trend in ezetimibe-treated HCT116 and Caco2 cells on both protein and mRNA level (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). The expression levels of the autophagosome membrane signature protein, LC3II, significantly increased at effective ezetimibe concentrations in HCT116 cells and Caco2 cells (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). The protein expression levels of MMP-2 and MMP-9 (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>), which are proteins that indicate tumor invasiveness, were found to decrease in ezetimibe-treated groups.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Ezetimibe downregulates the mTOR signaling, companied with a downstream invasion inhibition, apoptosis and autophagy activation. <bold>(A)</bold> Protein expression of mTOR, mTOR<sup>pSer1448</sup>, MMP-2, MMP-9, BAX, Bcl-2, Beclin-1, LC3, caspase-3, caspase-8, caspase-9 and &#x3b2;-actin in HCT116 and Caco2 cells under gradient ezetimibe treatment. <bold>(B)</bold> Statistical analysis for the protein expression level of mTOR/&#x3b2;-actin, mTOR<sup>pSer1448</sup>/&#x3b2;-actin, MMP-2/&#x3b2;-actin, MMP-9/&#x3b2;-actin, Beclin-1/&#x3b2;-actin, LC3 II/LC3 I, BAX/&#x3b2;-actin, Bcl-2/&#x3b2;-actin, cleaved caspase-3/total caspase-3, cleaved caspase-8/pro-caspase-8 and cleaved caspase-9/pro-caspase-9 in HCT116 and Caco2 cells under gradient ezetimibe treatment. <bold>(C)</bold> Statistical analysis for the relative mRNA expression of mTOR, Beclin-1, LC3 I, LC3 II, BAX and Bcl-2 of gradient ezetimibe treated HCT116 and Caco2 cells. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g004.tif"/>
</fig>
<p>mTOR activation reverses the ezetimibe-induced cell death phenotype, characterized mitochondrial dysfunction. To calculate the IC<sub>50</sub> and choose a proper working concentration for MHY1485, a potent cell-permeable mTOR activator, for administration in HCT116 and Caco2 cells, a CCK8 assay was performed (<xref ref-type="fig" rid="F5">Figure 5A</xref>). MHY1485 concentrations of 10&#xa0;&#x3bc;M and 20&#xa0;&#x3bc;M were chosen for HCT116 and Caco2 cells based on the calculated IC<sub>50</sub> and the findings of previous studies (<xref ref-type="bibr" rid="B27">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B50">Wu et al., 2020</xref>; <xref ref-type="bibr" rid="B51">Yang et al., 2020</xref>). For both cell lines, mTOR<sup>pSer2448</sup> expression was found to significantly decrease in the effective ezetimibe-treated group as compared to the negative control group; there was also a difference in mTOR<sup>pSer2448</sup> expression between the ezetimibe- and MHY1485-treated groups, as well as between the negative control and MHY1485-treated groups (<xref ref-type="fig" rid="F5">Figure 5B</xref>). mTOR<sup>pSer2448</sup> expression was partially activated by MHY1485 in the ezetimibe &#x2b; MHY1485-treated group compared to ezetimibe-treated group (<xref ref-type="fig" rid="F5">Figure 5B</xref>). In addition, there was no difference in mTOR protein expression levels between the negative control, ezetimibe-treated, MHY1485-treated, and ezetimibe &#x2b; MHY1485-treated groups (<xref ref-type="fig" rid="F5">Figure 5B</xref>). The reversal of ezetimibe-induced phosphorylated mTOR inhibition by MHY1485 was accompanied by a decrease in apoptotic cell counts and an improvement in mitochondrial damage. Flow cytometric detection revealed a homodromous difference between Caco2 and HCT116 cells (<xref ref-type="fig" rid="F5">Figure 5C</xref>). The ezetimibe-induced decrease in mitochondrial membrane potential was partially improved by MHY1485 in both HCT116 cells and Caco2 cells (<xref ref-type="fig" rid="F5">Figure 5D</xref>). In addition, intracellular ROS accumulation in CRC cells was also partially decreased by the mTOR activator (<xref ref-type="fig" rid="F5">Figure 5E</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>CRC cell apoptosis and mitochondrial dysfunction can be partly rescued by mTOR activator MHY1485. <bold>(A)</bold> Effects of MHY1485 on the viability of HCT116 and Caco2 cells at 48&#xa0;h detected by CCK-8 assay. <bold>(B)</bold> Protein expression of mTOR and mTOR<sup>pSer1448</sup> in the groups of negative control, ezetimibe, MHY1485 and ezetimibe &#x2b; MHY1485 for HCT116 and Caco2 cells. <bold>(C)</bold> Apoptosis of HCT116 and Caco2 cells for groups of negative control, ezetimibe, MHY1485 and ezetimibe &#x2b; MHY1485 with Annexin V-FITC/PI staining flow cytometry. <bold>(D)</bold> Fluorescence intensity of JC-1 for groups of negative control, ezetimibe, MHY1485 and ezetimibe &#x2b; MHY1485 on HCT116 and Caco2 cells with flow cytometry. <bold>(E)</bold> Fluorescence intensity of DCF for groups of negative control, ezetimibe, MHY1485 and ezetimibe &#x2b; MHY1485 on HCT116 and Caco2 cells with flow cytometry. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g005.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>Ezetimibe exerts anti-CRC effects</title>
<p>The findings of the experiments carried out on the xenograft tumor mouse model demonstrated the anti-CRC effects of ezetimibe. The tumor volume of HCT116 cells subcutaneously implanted into nude mice decreased following treatment with ezetimibe for 3 weeks; in addition, no significant difference in mouse weight was observed between the control group and the ezetimibe-treated group (<xref ref-type="fig" rid="F6">Figures 6A&#x2013;C</xref>). The H&#x26;E staining analysis did not reveal significant morphological changes in mouse livers and kidneys between the control group and the ezetimibe-treated group (<xref ref-type="fig" rid="F6">Figure 6D</xref>); this indicated the low toxicity of ezetimibe on key metabolic organs. The TEM analysis revealed morphological changes such as mitochondrial spine reduction and increase in autophagosome counts in the ezetimibe-treated group as compared to the control group (<xref ref-type="fig" rid="F6">Figure 6E</xref>). Comparing protein levels between the control and ezetimibe-treated groups through immunohistochemical staining showed results similar to those of the cytological experiments, including apoptosis induction, autophagy activation, and the reduction of invasiveness. There was a downregulation in MMP-2, MMP-9, and Bcl-2 expression, as well as a decrease in mTOR<sup>pSer2448</sup> expression, in the ezetimibe-treated group as compared to the control group; In addition, the expression levels of BAX and Beclin-1 were upregulated in the ezetimibe-treated group (<xref ref-type="fig" rid="F6">Figures 6F, G</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Ezetimibe functions an anti-colorectal cancer role in xenograft mice model. <bold>(A)</bold> Subcutaneous HCT116 xenograft mice model of control and ezetimibe treated groups. <bold>(B)</bold> The volum of subcutaneous tumor in groups of control and ezetimibe. <bold>(C)</bold> The mouse weights of control and ezetimibe treated group. <bold>(D)</bold> H&#x26;E staining measurement for liver and kidney in groups of control and ezetimibe. <bold>(E)</bold> Transmission electron microscopic observations for groups of control and ezetimibe. <bold>(F)</bold> Statistical analysis for the immunohistochemistry of mTOR<sup>pSer1448</sup>, MMP-2, MMP-9, BAX, Bcl-2, Beclin-1 in groups of control and ezetimibe. <bold>(G)</bold> Immunohistochemical staining for mTOR<sup>pSer1448</sup>, MMP-2, MMP-9, BAX, Bcl-2, Beclin-1 in groups of control and ezetimibe. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>CRC, which is the fourth most common type of cancer, causes approximately 394,000 deaths worldwide annually (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>). In the last decades, its incidence in younger individuals has significantly increased (<xref ref-type="bibr" rid="B42">Stoffel and Murphy, 2020</xref>). Epidemiological analyses on life style habits have shown that a westernized dietary pattern, characterized by high fat intake and low fiber ingestion, could be a contributing factor to CRC morbidity (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>; <xref ref-type="bibr" rid="B42">Stoffel and Murphy, 2020</xref>; <xref ref-type="bibr" rid="B46">Vernia et al., 2021</xref>). With the inadequacies of current therapeutic approaches, overall survival is still poor in advanced stage CRC patients (<xref ref-type="bibr" rid="B5">Boyle and Langman, 2000</xref>). Previous studies pointed out the antitumor potential of ezetimibe against several cancers involving urinary system, digestive system and genital system (<xref ref-type="bibr" rid="B17">Gu et al., 2022</xref>), with clinical trials not provided evidence for adverse impacts of ezetimibe on cancer risk (<xref ref-type="bibr" rid="B37">Peto et al., 2008</xref>; <xref ref-type="bibr" rid="B20">Kobbero Lauridsen et al., 2017</xref>). Based on the approach of reducing lipid absorption in the small intestines, we evaluated the potential effects of ezetimibe against CRC for the development of a novel adjuvant therapeutic strategy.</p>
<p>Cellular experiments showed that ezetimibe decrease proliferation, inhibit invasion, and stimulate apoptosis in CRC cell lines (<xref ref-type="fig" rid="F1">Figures 1</xref>, <xref ref-type="fig" rid="F2">2</xref>). IC<sub>50</sub> was used to evaluate CRC cell viability in this study (<xref ref-type="bibr" rid="B40">Sebaugh, 2011</xref>). HCT116 cell viability was found to decrease by half when ezetimibe concentrations reached 73.71&#xa0;&#x3bc;M and 56.85&#xa0;&#x3bc;M at 24 and 48&#xa0;h, respectively (<xref ref-type="fig" rid="F1">Figure 1B</xref>). A similar trend was observed in the Caco2 cell line, with IC<sub>50</sub>s of 79.27&#xa0;&#x3bc;M and 44.33&#xa0;&#x3bc;M at 24 and 48&#xa0;h, respectively (<xref ref-type="fig" rid="F1">Figure 1C</xref>). The clone-formation capacity of CRC cells, which represents the proliferative viability of the cells (<xref ref-type="bibr" rid="B9">Dobson et al., 2020</xref>), also decreased following treatment with ezetimibe (<xref ref-type="fig" rid="F1">Figure 1D</xref>). CRC cell invasiveness was found to significantly decrease following ezetimibe treatment in a dose- and time-dependent, as determined through the wound healing assay (<xref ref-type="fig" rid="F1">Figures 1E, F</xref>). In addition, CRC cell apoptosis increased following treatment with effective ezetimibe concentrations as determined through the fluorescence microscopic and flow cytometric assays (<xref ref-type="fig" rid="F2">Figures 2D, E</xref>); these findings indicated the toxic effects of ezetimibe against CRC.</p>
<p>Energy metabolism in cancer cells is more complex than simple glycolysis, as initially reported, and involves the use of a wide variety of substrates (<xref ref-type="bibr" rid="B10">Ferro et al., 2020</xref>). To satisfy the energy demands of cancer cells, mitochondria have to be trafficked from host immune cells, highlighting the important role played by mitochondria as powerpacks in cancer cells (<xref ref-type="bibr" rid="B10">Ferro et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Saha et al., 2022</xref>). The ATP Binding Cassette transporter (ABCC) subfamily of ABCA1 and ABCC3, as potential targets for ezetimibe (<xref ref-type="fig" rid="F3">Figure 3</xref>), reported of intervening the drug resistance in cancers (<xref ref-type="bibr" rid="B48">Wang and Smith, 2014</xref>; <xref ref-type="bibr" rid="B16">Grube et al., 2018</xref>; <xref ref-type="bibr" rid="B2">Belisario et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Ram&#xed;rez-Cosmes et al., 2021</xref>; <xref ref-type="bibr" rid="B12">Gao et al., 2022</xref>), thus providing evidence for the possibility of using ezetimibe in CRC adjuvant therapy. We found ezetimibe-induced CRC cell death to be associated with mitochondrial dysfunction. The JC-1 fluorochrome, a cyanine dye widely used to distinguish energized mitochondria from de-energized ones (<xref ref-type="bibr" rid="B36">Perelman et al., 2012</xref>), was used to measure CRC &#x25b3;&#x3a8;m in this study. The microscopic and flow cytometric assays consistently showed an increase in the proportion of JC-1 monomers with respect to JC-1 aggregates in CRC cells with increase in ezetimibe concentration (<xref ref-type="fig" rid="F2">Figures 2C&#x2013;F</xref>), indicating a decrease in &#x25b3;&#x3a8;m in a dose-dependent manner. Excessive accumulation of intracellular ROS can induce DNA damage and finally, cell death (<xref ref-type="bibr" rid="B11">Filomeni et al., 2015</xref>). Following treatment with cell lethal concentrations of ezetimibe, there was a significant accumulation of intracellular ROS in both HCT116 and Caco2 cells (<xref ref-type="fig" rid="F2">Figures 2B, G</xref>). The findings of these experiments revealed that mitochondrial damage occurred during ezetimibe-induced CRC cell death, indicating that an energy metabolism-related mechanism underlies the pharmacological action of ezetimibe against CRC.</p>
<p>The Comparative Toxicogenomics Database (<xref ref-type="bibr" rid="B7">Davis et al., 2019</xref>) and Drugbank online (<xref ref-type="bibr" rid="B22">Law et al., 2014</xref>) were used to determine the possible signaling targets of ezetimibe in CRC cells, and 29 ezetimibe-targeted genes were identified, mainly clustered into groups of glycometabolism and lipometabolism (<xref ref-type="fig" rid="F3">Figures 3A, B</xref>; <xref ref-type="table" rid="T1">Table 2</xref>). The GEPIA-based analysis (<xref ref-type="bibr" rid="B43">Tang et al., 2017</xref>) showed that eight out of 29 genes i.e., <italic>ABCA1</italic>, <italic>ABCC3</italic>, <italic>HMGCR</italic>, <italic>LDLR</italic>, <italic>PCSK9</italic>, <italic>PGR</italic>, <italic>PLA2G7</italic>, and <italic>SCARB1</italic>, can significantly discriminate between CRC tumors and normal tissues (<xref ref-type="fig" rid="F3">Figure 3C</xref>; <xref ref-type="table" rid="T1">Table 2</xref>). Among the eight targeted genes, <italic>HMGCR</italic>, <italic>LDLR</italic>, <italic>PCSK9</italic>, <italic>PLA2G7</italic>, and <italic>SCARB1</italic> were overexpressed in CRC tumor tissues as compared to normal tissues (<xref ref-type="fig" rid="F3">Figures 3F&#x2013;K</xref>), while <italic>ABCA1</italic>, <italic>ABCC3</italic>, and <italic>PGR</italic> exhibited low expression levels in CRC tumor tissues (<xref ref-type="fig" rid="F3">Figures 3D&#x2013;I</xref>). The expression levels of <italic>PGR</italic> vary between different CRC stages and are significantly correlated with CRC patient overall survival (<xref ref-type="fig" rid="F3">Figure 3I</xref>), as its expression levels have been shown to be negatively correlated with CRC prognosis (<xref ref-type="bibr" rid="B53">Zhang et al., 2021</xref>). Similarly, in previous studies, <italic>ABCC3</italic> differential expression in different CRC stages (<xref ref-type="fig" rid="F3">Figure 3E</xref>) was found not to be significantly correlated with CRC prognosis (<xref ref-type="bibr" rid="B19">Kim et al., 2020</xref>). <italic>UGT2B15</italic> and <italic>UGT2B7</italic>, which are non-CRC tumor-associated genes that were identified in the normal expression group, were found to be correlated with overall survival in CRC patients (<xref ref-type="table" rid="T1">Table 2</xref>). In this study, using the GEPIA database, we analyzed the correlation between the 29 targeted genes and GLS, HIF1-&#x3b1;, mTOR, TNF, and p53, which are recognized as key molecules involved in cellular metabolism (<xref ref-type="table" rid="T1">Table 2</xref>). Of the eight CRC-related genes, TNF was found to be significantly correlated with two of them i.e., <italic>ABCA1</italic> and <italic>PLA2G7</italic> (<xref ref-type="table" rid="T1">Table 2</xref>). In addition, of these eight genes, GLS, a key enzyme involved in glutamine metabolism, which plays an important role in cancer metabolism (<xref ref-type="bibr" rid="B30">Mates et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Masisi et al., 2020</xref>), was associated with <italic>ABCA1</italic>, <italic>PLA2G7</italic>, and <italic>SCARB1</italic> (<xref ref-type="table" rid="T1">Table 2</xref>). p53, an important antitumor transcription factor in CRC cells (<xref ref-type="bibr" rid="B26">Liebl and Hofmann, 2021</xref>), was found to be associated with four of the CRC-related expression genes i.e., <italic>ABCA1</italic>, <italic>PCSK9</italic>, <italic>PGR</italic>, and <italic>SCARB1</italic> (<xref ref-type="table" rid="T1">Table 2</xref>). A total of 6 and seven CRC-related expression genes were found to be significantly correlated with mTOR and HIF1-&#x3b1;, respectively, in the mTOR signaling pathway (<xref ref-type="table" rid="T1">Table 2</xref>), indicating that mTOR signaling is an important part of the mechanisms underlying the effects of ezetimibe against CRC. Low density lipoprotein receptor (LDLR), which is significantly correlated to mTOR according to the bioinformatic analysis (<xref ref-type="table" rid="T1">Table 2</xref>), mediates the hepatic endocytosis to consume Niemann-Pick C1-Like 1 (NPC1L1) mediated lipid absorption (<xref ref-type="bibr" rid="B17">Gu et al., 2022</xref>; <xref ref-type="bibr" rid="B25">Liao et al., 2022</xref>; <xref ref-type="bibr" rid="B54">Zhang et al., 2022</xref>). AS ezetimibe exerts its suppression on cholesterol absorption with blockage to NPC1L1, it may be potential regulator of mTOR signal for the lipid homeostasis in CRC progression. Proprotein convertase subtilisin/kexin type 9 (PCSK9) and HMG-CoA reductase (HMGCR), both significantly high expressed in CRC tumor as ezetimibe potential targets (<xref ref-type="fig" rid="F3">Figure 3</xref>), also confirmed of tight correlation to mTOR (<xref ref-type="table" rid="T1">Table 2</xref>). Studies have also reported that the PCSK9 inhibitor and HMGCR suppressor statins possess anti-CRC effects (<xref ref-type="bibr" rid="B34">Navarese et al., 2015</xref>; <xref ref-type="bibr" rid="B17">Gu et al., 2022</xref>; <xref ref-type="bibr" rid="B41">Shailes et al., 2022</xref>), which further stand for the potential pivotal role of mTOR signal mediation by ezetimibe in CRC. The ezetimibe targeted phospholipase A2 group VII (PLA2G7) has also been found to have tight correlation with cancer cachexia (<xref ref-type="bibr" rid="B31">Morigny et al., 2021</xref>) and put forward as therapeutic target for prostate cancer (<xref ref-type="bibr" rid="B45">Vainio et al., 2011</xref>), supporting the possibility of ezetimibe used in clinical therapy in advanced cancer stages.</p>
<p>Western blotting and the quantitative real-time polymerase chain reaction (qRT-PCR) assay carried out in our study revealed that ezetimibe attenuated CRC invasiveness, and induced CRC apoptosis and autophagy, which were accompanied by a decrease in mTOR phosphorylation at the molecular level. The mTOR<sup>pSer2448</sup> protein, which is recognized as a key indicator of mTOR signaling activation, was found to be negatively correlated with disease prognosis in advanced stage CRC patients (<xref ref-type="bibr" rid="B45">Vainio et al., 2011</xref>; <xref ref-type="bibr" rid="B33">Muller et al., 2013</xref>; <xref ref-type="bibr" rid="B34">Navarese et al., 2015</xref>; <xref ref-type="bibr" rid="B30">Mates et al., 2019</xref>; <xref ref-type="bibr" rid="B19">Kim et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Masisi et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B26">Liebl and Hofmann, 2021</xref>; <xref ref-type="bibr" rid="B31">Morigny et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Liao et al., 2022</xref>; <xref ref-type="bibr" rid="B41">Shailes et al., 2022</xref>; <xref ref-type="bibr" rid="B54">Zhang et al., 2022</xref>), its expression levels significantly decreased in both HCT116 and Caco2 cells following effective ezetimibe treatment (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>); however, mTOR transcription and expression levels were not significantly different between the ezetimibe-treated and control groups (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). MMPs play crucial roles in tumorigenesis as they promote angiogenesis, invasiveness, and immune evasion in a wide variety of cancers (<xref ref-type="bibr" rid="B45">Vainio et al., 2011</xref>; <xref ref-type="bibr" rid="B33">Muller et al., 2013</xref>; <xref ref-type="bibr" rid="B34">Navarese et al., 2015</xref>; <xref ref-type="bibr" rid="B14">Gobin et al., 2019</xref>; <xref ref-type="bibr" rid="B29">Masisi et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Zhang et al., 2020</xref>; <xref ref-type="bibr" rid="B26">Liebl and Hofmann, 2021</xref>; <xref ref-type="bibr" rid="B28">Lodge et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Morigny et al., 2021</xref>; <xref ref-type="bibr" rid="B25">Liao et al., 2022</xref>; <xref ref-type="bibr" rid="B41">Shailes et al., 2022</xref>; <xref ref-type="bibr" rid="B54">Zhang et al., 2022</xref>). Ezetimibe induced MMP-2 and MMP-9 downregulation in HCT116 and Caco2 cells (<xref ref-type="fig" rid="F4">Figures 4A, B</xref>); this finding, together with the decreased wounding healing capacity found in the scratch assay, demonstrated the inhibitory effects of ezetimibe against CRC invasiveness. Ezetimibe induced CRC cell apoptosis and autophagy at effective concentrations. In this study, we observed an increase and a decrease in both BAX and Bcl-2 mRNA and protein levels, respectively, in the CRC cell lines; this finding, together with the caspase cascade activation observed (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>), provided evidence for our point of the CRC cell apoptosis promotion effects of ezetimibe. The expression levels of Beclin-1, the pre-autophagosomal structure positive correlated protein (<xref ref-type="bibr" rid="B44">Tran et al., 2021</xref>), significantly increased under treatment with increasing ezetimibe concentrations (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>). In addition, the expression levels of the key autolysosome membrane formation protein, LC3 II, were also found to significantly increase in ezetimibe-treated HCT116 and Caco2 cells in a dose-dependent manner (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;C</xref>).</p>
<p>The apoptosis and mitochondrial dysfunction phenotype observed in ezetimibe-treated CRC cells was partially reversed by the mTOR activator, MHY1485 (<xref ref-type="fig" rid="F5">Figure 5</xref>), indicating that ezetimibe induces cell death and mitochondrial dysfunction in CRC cells through the mTOR signaling pathway. The levels of mTOR<sup>pSer2448</sup> proteins significantly decreased in the ezetimibe-treated group as compared to the negative control group; these levels were partially upregulated following the addition of MHY1485 to the CRC cells. The proportion of apoptotic HCT116 and Caco2 cells decreased in the ezetimibe &#x2b; MHY1485-treated group as compared to the ezetimibe-treated group, and this was accompanied by homogeneous &#x25b3;&#x3a8;m recovery and a reduction in intracellular ROS levels.</p>
<p>The anti-CRC effects of ezetimibe, which involve the promotion of CRC cell death without damage to vital organs involved in drug metabolism, were confirmed using a xenograft tumor mouse model (<xref ref-type="fig" rid="F6">Figure 6</xref>). Ezetimibe significantly decreased the volumes of xenograft tumors in nude model mice subjected to treatment as compared to control mice; however, there was no significant difference in mouse weight between the two groups (<xref ref-type="fig" rid="F6">Figures 6A&#x2013;C</xref>). No significant morphological changes were observed in the livers and kidneys of mice in the control and ezetimibe-treated groups as determined through the H&#x26;E staining analysis (<xref ref-type="fig" rid="F6">Figure 6D</xref>); however, visible mitochondrial morphological damage, with cytophagosome development, was observed by TEM in the xenograft tumor tissues of ezetimibe-treated mice (<xref ref-type="fig" rid="F6">Figure 6E</xref>). HCT116 xenograft mouse tumor immunohistochemical staining showed an increase in the expression levels of apoptosis/autophagy-related proteins and a decrease in the expression levels of invasiveness-related proteins, considering the downregulation of mTOR<sup>pSer2448</sup> expression in the ezetimibe-treated group (<xref ref-type="fig" rid="F6">Figures 6F, G</xref>). <italic>In vivo</italic> findings support our hypothesis that ezetimibe induces CRC cell death <italic>via</italic> mTOR signaling-dependent mitochondrial dysfunction.</p>
<p>Despite the demonstrated potential anti-CRC effects of ezetimibe, our study still has some limitations. First, the in-depth mechanisms of ezetimibe-induced mitochondrial dysfunction, as well as correlations to the tumor microenvironment in CRC, still need to be investigated. More evidence needs to be gathered on the clinical application of ezetimibe in the treatment of CRC before it be taken from the bench to the bedside for CRC treatment.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>We demonstrated <italic>in vitro</italic> and <italic>in vivo</italic> that ezetimibe elicits its anti-CRC effects by inhibiting cell proliferation and invasion, and promoting apoptosis and autophagy. In addition, ezetimibe-induced apoptosis and autophagy were found to be correlated with mTOR signaling-dependent mitochondrial dysfunction (<xref ref-type="fig" rid="F7">Figure 7</xref>). The findings of this study highlight the potential value of ezetimibe for use in CRC adjuvant therapy and for optimized selections in individual therapeutic schedules in future.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Ezetimibe induced colorectal cell death were found to be correlated with mTOR signaling-dependent mitochondrial dysfunction in apoptosis promotion, meanwhile presented effects of autophagy activation and invasiveness reduction.</p>
</caption>
<graphic xlink:href="fphar-14-1081980-g007.tif"/>
</fig>
</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 animal study was reviewed and approved by Shanghai Tenth People&#x27;s Hospital, Tongji University School of Medicine (SHDSYY-2020-0209).</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>YuZ, WY, YiZ, and CG constructed the framework for this work. YuZ and WY wrote the draft manuscript. YuZ, YJ, JL, LW, JF, and YL completed the vitro part for this work, including the bioinformatic analysis. WY, ZC, JZ, JL, WD, XX, and JW undertook the vivo part for this work. YuZ, WY, and YJ visualized the figures and tables. XX and YuZ constructed and completed the supplementary experiments for this work. The manuscript was read and approved by all the authors.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>National Natural Science Foundation of China (No. 82100638, No. 82102956, No. 82002539), Yangfan Project of Shanghai Science and Technology Commission (No. 20YF1443300, No. 21YF1435400), China Postdoctoral Science Foundation (No. 2022M712412), Health System Innovation Project of Shanghai Putuo Science and Technology Commission (No. PTKWWS202303).</p>
</sec>
<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/fphar.2023.1081980/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2023.1081980/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material>
<label>Supplementary Figure S1</label>
<caption>
<p>Ezetimibe suppresses the Caco2 cell migration in low doses. <bold>(A)</bold> The wound healing capacity for Caco2 under gradient ezetimibe treatment at 0, 24, and 48&#x00a0;h. Scale bar, 100&#xa0;&#x3bc;M. <bold>(B)</bold> Statistical analysis for the wound area of Caco2 under gradient ezetimibe treatment at 0, 24 and 48&#x00a0;h. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001.</p>
</caption>
</supplementary-material>
<supplementary-material>
<label>Supplementary Figure S2</label>
<caption>
<p>Ezetimibe downregulates the MMP2, MMP9 and Bcl-2, companied with caspase-8, caspased-9 activation. <bold>(A)</bold> Protein expression of MMP-2, MMP-9, Bcl-2, caspase-8, caspase-9 and &#x3b2;-actin in HCT116 and Caco2 cells under gradient ezetimibe treatment. <bold>(B)</bold> Statistical analysis for the protein expression level of MMP-2/&#x3b2;-actin, MMP-9/&#x3b2;-actin, Bcl-2/&#x3b2;-actin, cleaved caspase-8/pro-caspase-8 and cleaved caspase-9/pro-caspase-9 in HCT116 and Caco2 cells under gradient ezetimibe treatment. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image1.tiff" id="SM1" mimetype="application/tiff" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image2.tif" id="SM2" mimetype="application/tif" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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