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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">685898</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.685898</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>Antitumor Effect of Fluoxetine on Chronic Stress-Promoted Lung Cancer Growth via Suppressing Kynurenine Pathway and Enhancing Cellular Immunity</article-title>
<alt-title alt-title-type="left-running-head">Yang et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Fluoxetine has Antitumor Effect</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/390839/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Zhuman</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/626818/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Zhijun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1420844/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/592610/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Ting</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/390767/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Zhijun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/626797/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Duan</surname>
<given-names>Jingjing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1420882/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Chuangchuang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1420831/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cheng</surname>
<given-names>Yuanchi</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/390835/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Feng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/351762/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Central Laboratory, Fengxian Hospital, Southern Medical University, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>School of Pharmaceutical Sciences, Southern Medical University, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of Pharmacy, Fengxian Hospital, Southern Medical University, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Neurosurgery, Sixth People&#x2019;s Hospital South Campus, Shanghai Jiaotong University, <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/422147/overview">Bin-Zhi Qian</ext-link>, University of Edinburgh, United&#x20;Kingdom</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/1181219/overview">Hongmei Cui</ext-link>, Lanzhou University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/899632/overview">Khuloud Bajbouj</ext-link>, University of Sharjah, United Arab Emirates</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Yuanchi Cheng, <email>chi703670290@163.com</email>; Feng Xu, <email>xuf@smu.edu.cn</email>
</corresp>
<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>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this&#x20;work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>685898</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>03</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>06</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Yang, Li, Guo, Ren, Zhou, Xiao, Duan, Han, Cheng and Xu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Yang, Li, Guo, Ren, Zhou, Xiao, Duan, Han, Cheng and Xu</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> Chronic stress promotes cancer growth. Antidepressant fluoxetine (FLX) is usually prescribed for cancer patients with comorbid depression. FLX displays inhibition on cancer cell proliferation, however, the <italic>in vivo</italic> activity has not been investigated.</p>
<p>
<bold>Methods:</bold> We explored the antitumor effect of FLX in subcutaneous transplanted lung cancer cells in a tumor-bearing mouse model. Fifty-six C57BL/6 mice were randomly divided into group A (blank control), group B (tumor-bearing control), group C (tumor-bearing &#x2b; FLX), group D (CUMS control), group E (CUMS &#x2b; FLX), group F (tumor-bearing &#x2b; CUMS), and group G (tumor-bearing &#x2b; CUMS &#x2b; FLX). 5-HT, tryptophane (Trp), kynurenine, IFN-&#x3b3;, TNF-&#x3b1;, IL-1&#x3b1;, IL-1&#x3b2;, IL-2, IL-4, IL-6, IL-10, IL-17A levels were measured by ELISA. T helper (Th), cytotoxic T (Tc) and regulatory T&#x20;cells (Tregs) subtype were measured by flow cytometry. The antitumor effects of FLX were evaluated by tumor weight. The expression of kynurenine pathway related genes TDO, IDO1, IDO2, and apoptosis-related genes caspase1, 3, 4, 5, 7, 12 in tumor tissues were measured by western blotting and qRT-PCR. A549 cells were exposed with FLX (15&#xa0;&#x3bc;mol/L) and its effect on cell proliferation, migration, and clonal formation were detected. Kynurenine pathway and apoptosis related gene expression were also measured.</p>
<p>
<bold>Results:</bold> <italic>In vivo</italic>, chronic stress promoted tumor growth in C57BL/6 mice. FLX administration not only significantly reversed chronic unpredictable mild stress (CUMS)-induced reduction of 5-HT and Trp, increment of kynurenine, but increased CD4<sup>&#x2b;</sup> Th and CD8<sup>&#x2b;</sup> Tc cells, and reduced CD25<sup>&#x2b;</sup> FOXP3<sup>&#x2b;</sup> Tregs. FLX promoted Th to differentiate into Th1 cells and increased IL-2 and IFN-&#x3b3;, meanwhile inhibited Th differentiate into Th2 and Th17 cells and decreased the concentrations of IL-4, IL-6, IL-10, and IL-17A. Chronic stress obviously up-regulated IDO1 and IDO2 expression, down-regulated caspase 4, 7, and 12 expression, meanwhile FLX administration reversed this regulation. However, there was no significant change in TDO, caspase 1, 3, 5. Similarly, <italic>in&#x20;vitro</italic>, FLX administration significantly inhibited the proliferation, migration, and clonal formation of A549 cells and induced cell apoptosis. FLX administration down-regulated the expression of IDO1, IDO2, and up-regulated caspase 4, 5, and&#x20;7.</p>
<p>
<bold>Conclusion:</bold> Fluoxetine administration could inhibit tumor growth. The inhibition might be via suppressing kynurenine pathway and enhancing cellular immunity.</p>
</abstract>
<kwd-group>
<kwd>fluoxetine</kwd>
<kwd>chronic unpredictable mild stress</kwd>
<kwd>antitumor effect</kwd>
<kwd>kynurenine pathway</kwd>
<kwd>cellular immunity</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The occurrence of a tumor is one of the most negative life events. Its poor prognosis, multiple adverse reactions, and high treatment costs can easily lead to depression in patients. About 1/3 of cancer patients are comorbid with depression (<xref ref-type="bibr" rid="B9">Hopwood and Stephens, 2000</xref>; <xref ref-type="bibr" rid="B13">Krizanova et&#x20;al., 2016</xref>), which can be treated with antidepressants (<xref ref-type="bibr" rid="B24">Singer et&#x20;al., 2010</xref>). Fluoxetine, a selective serotonin reuptake inhibitor, is a first choice for patients with depression. After fluoxetine treatment, symptoms of depression and the quality of life are significantly improved (<xref ref-type="bibr" rid="B16">Lieb, 2008</xref>; <xref ref-type="bibr" rid="B23">Ren et&#x20;al., 2018</xref>). Fortunately, fluoxetine inhibits cancer cells growth including oral, glioma, rectal, and hepatocellular carcinoma cancer cells (<xref ref-type="bibr" rid="B21">Peer et&#x20;al., 2004</xref>; <xref ref-type="bibr" rid="B11">Kannen et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B17">Liu et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B5">Chen et&#x20;al., 2019</xref>). A few studies indicated that fluoxetine enhance drug sensitivity and reverse multidrug resistance (<xref ref-type="bibr" rid="B33">Zhou et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B10">Hsieh et&#x20;al., 2015</xref>). Furthermore, the clinical evidence shows that the long-term use of fluoxetine decreases the risk of lung cancer (<xref ref-type="bibr" rid="B27">Toh et&#x20;al., 2007</xref>).</p>
<p>However, the effects of antidepressants on tumor progression are controversial. Some research suggested fluoxetine could promote tumor progression (<xref ref-type="bibr" rid="B4">Brandes et&#x20;al., 1992</xref>; <xref ref-type="bibr" rid="B25">Steingart and Cotterchio, 1995</xref>). The uncertainty of fluoxetine effect on tumor is worthy of further research. Therefore, the purpose of this study was to verify anticancer effect of fluoxetine and possible mechanism in a tumor-bearing mouse&#x20;model.</p>
<p>Tryptophan, a conditionally essential amino acid, is involved in pain, sleep, and relieves stress response. There are two pathways for tryptophan metabolism: kynurenine pathway and 5-HT pathway. Kynurenine pathway is dependent on Aryl hydrocarbon receptor (AhR) to some extent; its upregulation may lead to cancer progression via down-regulating T-cell phenotype, and then suppressing antitumor immune responses (<xref ref-type="bibr" rid="B15">Li et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B1">Adams et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B22">Platten et&#x20;al., 2019</xref>). Since our previous study found fluoxetine inhibited the growth and invasiveness of tumor cells <italic>in&#x20;vitro</italic> and improved the metabolic disorder of amino acids (including tryptophan) <italic>in vivo</italic> induced by chronic stress (<xref ref-type="bibr" rid="B33">Zhou et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B23">Ren et&#x20;al., 2018</xref>), we hypothesized that fluoxetine might modulate cellular immunity by suppressing kynurenine pathway. Here we focus on the tryptophan-associated cellular immunity pathway of fluoxetine.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Chemicals</title>
<p>Fluoxetine was purchased from Sigma (St. Louis, MO, United&#x20;States). The ELISA kits of 5-HT, Trp, kynurenine, IL-1&#x3b1;, IL-1&#x3b2;, IL-2, IL-4, IL-6, IL-10, IL-17A, IFN-&#x3b3;, and TNF-&#x3b1; were from Shanghai Jianglai biological technology Co., Ltd. (Shanghai, China). TDO, IDO1, IDO2 antibodies were obtained from Abcam (United&#x20;States). Caspase-1, Caspase-3, Caspase-4, Caspase-5, Caspase-7, Caspase-12 antibodies were obtained from Immunoway Biotechnology Co., Ltd. (Beijing, China). AhR antibodies were obtained from Proteintech (United&#x20;States). FITC-conjugated anti-mouse CD3, APC/Cyanine7-conjugated anti-mouse CD4, PE/Cyanine7-conjugated anti-mouse CD8a, APC-conjugated anti-mouse CD25, PE-conjugated anti-mouse Foxp3, APC-conjugated anti-mouse NK-1.1, and PE-conjugated anti-mouse TCR-&#x3b2; antibodies were obtained from Biolegent (California, United&#x20;States).</p>
</sec>
<sec id="s2-2">
<title>Cell Culture and Animals</title>
<p>Human NSCLC cell line A549 and mice NSCLC cell line LLC were obtained from Shanghai Institutes of Cell Biology (Shanghai, China). Cells were cultured in DMEM medium, supplemented with 10% fetal bovine serum (FBS), 100&#xa0;&#x3bc;g/ml streptomycin, 100&#xa0;units/ml penicillin at 5% CO<sub>2</sub> at 37&#xb0;C.</p>
<p>Female C57BL/6 mice weighing 18&#x2013;20&#xa0;g were bought from the Shanghai Jiesijie laboratory animal technology Co., Ltd. (Animal Quality Certificate: 20180004000898). Mice were housed in the laboratory animal center, East China Normal University, Shanghai (Animal experiment license: SYXK 2010-0094) in a specific pathogen-free (SPF) lab until they were acclimated to their surroundings for 7&#xa0;days to habituate to the experimenter. The research related animal used has been compiled with all relevant national regulations and institutional policies for the care and use of animals and has been approved by the Animal Research Ethics Committee in Fengxian Hospital, Southern Medical University.</p>
</sec>
<sec id="s2-3">
<title>Behavior Testing&#x2013;Open-Field Test</title>
<p>The open-field test was conducted in a quiet room. Briefly, the open-field consisted of an opaque plastic box (100 &#xd7; 100&#x20;&#xd7; 40&#xa0;cm) divided equally into 20&#x20;&#xd7; 20&#xa0;cm<sup>2</sup> squares. Mice were placed in the center of this field, and the number of squares mice moved and standing times were monitored using a ZSZFT Video Analysis System (ZSZRDC science and technology Co., Ltd., China) as indexes of locomotion activity and exploratory behavior, respectively in 5&#xa0;min. Mouse with behavior scores of &#x3e;120 or &#x3c;30 was considered as abnormal and ruled out of the experiment.</p>
</sec>
<sec id="s2-4">
<title>Sucrose Preference Test</title>
<p>Mice were housed individually and exposed to sucrose solution (2% in tap water, Sigma, St Louis, Mo, United&#x20;States) for 72&#xa0;h, followed by 18&#xa0;h of water deprivation and 2&#xa0;h exposure to two identical bottles, one was filled with 2% sucrose solution and the other was filled with water. The weight of the sucrose solution and water exposed for 2&#xa0;h was measured. Sucrose preference was defined as the ratio of sucrose weight to total weight (sucrose &#x2b; water) during the 2&#xa0;h test, normalized to the body weight of each animal.</p>
</sec>
<sec id="s2-5">
<title>Depression-Like Behavior and Tumor Model</title>
<p>The CUMS-induced depression-like behavior model was established in C57BL/6 mice. The CUMS-induced mice were individually housed in cages for 8&#x20;weeks and exposed to the stressors in random order (<xref ref-type="table" rid="T1">Table&#x20;1</xref>). The same stress was not allowed to appear in two consecutive days to avoid prediction. Control mice were fed normally without any stress during this period. 8&#xa0;weeks later, the open-field test, the sucrose preference experiment and the level of 5-HT were used to verify the success of the depression model. Then, LLC lung cancer cells (1 &#xd7; 10<sup>6</sup>&#xa0;cells) suspended in 0.2&#xa0;ml PBS was subcutaneously inoculated in the right flank of C57BL/6 mice. The entire experimental procedure is shown in <xref ref-type="fig" rid="F1">Figure&#x20;1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The stressor of CUMS procedure.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Stressor</th>
<th align="center">Duration</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">restraint stress (activity restriction in a bottle)</td>
<td align="center">1&#xa0;h</td>
</tr>
<tr>
<td align="left">hot water swimming (45&#xb0;C)</td>
<td align="center">5&#xa0;min</td>
</tr>
<tr>
<td align="left">cold water swimming (4&#xb0;C)</td>
<td align="center">5&#xa0;min</td>
</tr>
<tr>
<td align="left">horizontal shaking</td>
<td align="center">10&#xa0;min</td>
</tr>
<tr>
<td align="left">wet bedding</td>
<td align="center">24&#xa0;h</td>
</tr>
<tr>
<td align="left">noise interference</td>
<td align="center">10&#xa0;min</td>
</tr>
<tr>
<td align="left">day/night inversion</td>
<td align="center">24&#xa0;h</td>
</tr>
<tr>
<td align="left">cage tilting (45&#xb0;)</td>
<td align="center">24&#xa0;h</td>
</tr>
<tr>
<td align="left">clip tail (1&#xa0;cm from the end of the tail)</td>
<td align="center">1&#xa0;min</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Schematic representation of experimental procedure.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g001.tif"/>
</fig>
</sec>
<sec id="s2-6">
<title>Group and Treatment Protocols</title>
<p>Mice were randomized into seven groups as follows (eight animals each): group A (blank control), group B (tumor-bearing control), group C (tumor-bearing &#x2b; FLX), group D (CUMS control), group E (CUMS &#x2b; FLX), group F (tumor-bearing &#x2b; CUMS), and group G (tumor-bearing &#x2b; CUMS &#x2b; FLX). Healthy mice were set as a control without any treatment. After 3&#xa0;days, fluoxetine (20&#xa0;mg/kg/day) was administrated via gavage for 2&#xa0;weeks. Four control groups (groups A, B, D, and F) were given vehicle for 2&#xa0;weeks. At 24&#xa0;h after the last administration, all mice were killed. Blood was collected from the inner canthus. Tumors were isolated and weighed.</p>
</sec>
<sec id="s2-7">
<title>ELISA Measurement of 5-HT, Tryptophan, Kynurenine, IL-1&#x3b1;, IL-1&#x3b2;, IL-2, IL-4, IL-6, IL-10, IL-17A, IFN-&#x3b3;, and TNF-&#x3b1; in Serum</title>
<p>The levels of 5-HT, Tryptophan, kynurenine, IL-1&#x3b1;, IL-1&#x3b2;, IL-2, IL-4, IL-6, IL-10, IL-17A, IFN-&#x3b3;, and TNF-&#x3b1; in serum were assessed using ELISA kits according to the operating&#x20;guide.</p>
</sec>
<sec id="s2-8">
<title>Flow Cytometry Analysis of T&#x20;Cell Testing</title>
<p>To determine the percentages of Th cells, Tc cells, and Treg cells in the total T&#x20;cell population, the pretreated cells were stained with FITC-conjugated anti-mouse CD3 and treated with fixation and permeabilization regents as described in the manufacturer&#x2019;s instructions. Then, the cells were stained with antibodies. To determine the percentages of Th in the total CD3<sup>&#x2b;</sup> T&#x20;cell population, the cells were stained with FITC-conjugated anti-mouse CD3, APC/Cyanine7-conjugated anti-mouse CD4, and PE/Cyanine7-conjugated anti-mouse CD8a antibodies. To determine the percentages of regulatory T&#x20;cells in the total CD4<sup>&#x2b;</sup> T&#x20;cell population, the cells were stained with APC/Cyanine7-conjugated anti-mouse CD4 and APC-conjugated anti-mouse CD25 antibodies and treated with fixation and permeabilization regents. Then, the cells were stained with PE-conjugated anti-mouse Foxp3 antibodies. All the cells were resuspended in 0.2&#xa0;ml of the staining buffer before being detected by flow cytometry. The data were analyzed with FACS Diva&#x2122; software. All antibodies used in the experiment were purchased by Biolegent (California, United&#x20;States).</p>
</sec>
<sec id="s2-9">
<title>Determination of mRNA Expression</title>
<p>Total RNA was extracted with Trizol according to the protocol (Sangon Biotech, SK1312/BS409, Shanghai, China) and RNA concentration were measured with NanoDrop ND-100 Spectrophotometer (Thermo Scientific, Wilmington, DE, United&#x20;States). For qRT-PCR, TliRNaseH Plus was used according to the manufacturer&#x2019;s protocol. The primers sequences are shown in <xref ref-type="table" rid="T2">Table&#x20;2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>The primer sequences of all&#x20;genes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Gene</th>
<th align="center">Forward</th>
<th align="center">Reverse</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">GAPDH</td>
<td align="left">GAC&#x200b;ATG&#x200b;CCG&#x200b;CCT&#x200b;GGA&#x200b;GAA&#x200b;AC</td>
<td align="left">AGC&#x200b;CCA&#x200b;GGA&#x200b;TGC&#x200b;CCT&#x200b;TTA&#x200b;GT</td>
</tr>
<tr>
<td align="left">IDO1</td>
<td align="left">CCC&#x200b;ACA&#x200b;CTG&#x200b;ATC&#x200b;ACG&#x200b;GAC&#x200b;GG</td>
<td align="left">TTG&#x200b;CGG&#x200b;GGC&#x200b;AGC&#x200b;ACC&#x200b;TTT&#x200b;CG</td>
</tr>
<tr>
<td align="left">IDO2</td>
<td align="left">CAA&#x200b;TCC&#x200b;AGC&#x200b;CAT&#x200b;GCC&#x200b;TGT&#x200b;GGG&#x200b;G</td>
<td align="left">TGG&#x200b;GCT&#x200b;GCA&#x200b;CTT&#x200b;CCT&#x200b;CCA&#x200b;GAG&#x200b;T</td>
</tr>
<tr>
<td align="left">Caspase 4</td>
<td align="left">ACG&#x200b;CAT&#x200b;GTT&#x200b;CCG&#x200b;TTA&#x200b;CCT&#x200b;GAA</td>
<td align="left">CAC&#x200b;CAT&#x200b;GTG&#x200b;CCA&#x200b;TGA&#x200b;GTA&#x200b;CCA</td>
</tr>
<tr>
<td align="left">Caspase 7</td>
<td align="left">AAG&#x200b;ACG&#x200b;GAG&#x200b;TTG&#x200b;ACG&#x200b;CCA&#x200b;AG</td>
<td align="left">CCG&#x200b;CAG&#x200b;AGG&#x200b;CAT&#x200b;TTC&#x200b;TCT&#x200b;TC</td>
</tr>
<tr>
<td align="left">Caspase 12</td>
<td align="left">AGA&#x200b;CAG&#x200b;AGT&#x200b;TAA&#x200b;TGC&#x200b;AGT&#x200b;TTG&#x200b;CT</td>
<td align="left">TTC&#x200b;ACC&#x200b;CCA&#x200b;CAT&#x200b;TCC&#x200b;TTC&#x200b;C</td>
</tr>
<tr>
<td align="left">AhR</td>
<td align="left">ACA&#x200b;TAC&#x200b;GCC&#x200b;GGT&#x200b;AGG&#x200b;AAG&#x200b;AGA</td>
<td align="left">GGT&#x200b;CAG&#x200b;CTC&#x200b;TGT&#x200b;ATT&#x200b;GAG&#x200b;GC</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-10">
<title>Western Blotting Analysis of TDO, IDO1, IDO2, AhR, and Cleaved-Caspase Proteins</title>
<p>The tumor tissues and cells were collected and sonicated in lysis buffer on ice. The samples were centrifuged and proteins was quantified by BCA protein assay kit. Total protein (20&#xa0;&#x3bc;g) from each sample was run on SDS-PAGE and transferred to PVDF membranes. The blots were steeped with 5% fat-free milk in Tris-buffered saline-Tween 20 (TBST) for 4&#xa0;h, followed by incubation with primary antibody overnight at 4&#xb0;C. All antibodies were diluted with 5% fat-free milk in TBST buffer (dilution rate: TDO, IDO1, IDO2, and AhR were 1:1,000, cleaved-caspases and &#x3b2;-actin were 1:2,000). The blots were washed with TBST buffer three times (10&#xa0;min each time), and then labeled with secondary antibody at room temperature for 2&#xa0;h respectively. Finally, membranes were visualized using ECL detection reagents and analyzed by ImageJ software.</p>
</sec>
<sec id="s2-11">
<title>Cell Viability Assay by CCK-8</title>
<p>The vitro experiments were divided into two groups as follows: control group and fluoxetine group. A549 Cells (5,000 cells per well) were plated into 96-well plates, then treated with fluoxetine for 72&#xa0;h. Cell viability was assayed using CCK-8 according to the manufacturer&#x2019;s instructions. The OD value at 450&#xa0;nm was detected and recorded with GloMaxMuiti&#x2b;(Promega, E8032, United&#x20;States).</p>
</sec>
<sec id="s2-12">
<title>Clone Formation Assay</title>
<p>Five hundred cells were seeded in DMEM with 10% FBS on 60&#xa0;mm plates, and treated with fluoxetine for 12&#xa0;h, then cultured for 7&#xa0;days or 10&#xa0;days. The number of the clones (P50 cells) was assessed by counting under a microscope.</p>
</sec>
<sec id="s2-13">
<title>Cell Migration Assay</title>
<p>Cells were seeded into 6-well plates and treated with fluoxetine for 72&#xa0;h. The cells were collected and seeded at 0.1&#xa0;ml (5&#xd7;10<sup>4</sup>&#xa0;cells/well) into transwell upper chambers with DMEM. The bottom chambers were filled with 0.6&#xa0;ml DMEM with 10% FBS as a chemoattractant. After 8&#xa0;h or 24&#xa0;h, non-migratory cells were carefully removed with a cotton&#x20;swab.</p>
</sec>
<sec id="s2-14">
<title>Flow Cytometry Analysis of Apoptosis Assay</title>
<p>A549 Cells were seeded into 6-well plates, treated as above for 24&#xa0;h/48&#xa0;h, then collected and washed with PBS twice, stained with Annexin V-FITC and PI (556419, 556421, BD Biosciences). Samples were analyzed on Flow cytometry (BD, FACS Canto, United&#x20;States). Annexin V-FITC positive and PI negative, Annexin V-FITC positive and PI positive were considered as apoptotic&#x20;cells.</p>
</sec>
<sec id="s2-15">
<title>Statistical Analysis</title>
<p>All analyses were performed using the SPSS 25.0. Data were expressed as mean&#x20;&#xb1; SD. Statistical comparisons between the two groups were performed using the two independent-samples <italic>t-test</italic> and the inter group were performed using the One-way analysis of variance (<italic>ANOVA</italic>). (<italic>two-tailed</italic>) <italic>p</italic>&#x20;&#x3c; 0.05 was considered to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Behavioral and Biochemical Testing</title>
<p>An open-field behavioral test, sucrose preference test, and biochemical test revealed significant differences between two groups after 8&#xa0;weeks of chronic stress treatment. At the end of 8&#xa0;weeks of CUMS, the locomotion and exploratory scores, sucrose preference, and 5-HT levels are decreased in CUMS model group mice compared to the baseline. No significant change occurred over time in the normal control group mice (<xref ref-type="fig" rid="F2">Figure&#x20;2</xref>). All results confirmed that CUMS successfully induce depression-like behavior in&#x20;mice.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Biochemical test <bold>(A)</bold>, sucrose preference <bold>(B)</bold> and open-field <bold>(C,D)</bold> before and after model establishment. Data were expressed as mean&#x20;&#xb1; SD.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g002.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>CUMS Promoted Tumor Progression, Fluoxetine Inhibited Tumor Growth</title>
<p>Tumor weight and body weight of all tumor-bearing mice were examined. The tumor volume in group B (tumor-bearing control) was significantly smaller than that of group F (tumor-bearing &#x2b; CUMS). The result indicated that CUMS promoted tumor growth. The tumor volume in group B (tumor-bearing control) was significantly larger than that of group C (tumor-bearing &#x2b; FLX). Meanwhile the tumor volume in group F (tumor-bearing &#x2b; CUMS) was significantly larger than that of group G (tumor-bearing &#x2b; CUMS &#x2b; FLX), suggesting fluoxetine could inhibit tumor growth in tumor both under stress and without stress (<xref ref-type="fig" rid="F3">Figures 3A&#x2013;C</xref>). However, there was no difference of the body weight in these four groups (<xref ref-type="fig" rid="F3">Figure&#x20;3D</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Antitumor of fluoxetine in tumor bearing mice. <bold>(A)</bold> Representative images of tumor tissues in different groups. <bold>(B,C)</bold> Volume and weights of tumor. <bold>(D)</bold> Weights of mice. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01; <sup>aa</sup>
<italic>p</italic>&#x20;&#x3c; 0.01: tumor-bearing control vs. tumor-bearing &#x2b; FLX; <sup>bb</sup>
<italic>p</italic>&#x20;&#x3c; 0.01: tumor-bearing &#x2b; CUMS vs. tumor-bearing &#x2b; CUMS &#x2b; FLX; <sup>c</sup>
<italic>p</italic>&#x20;&#x3c; 0.05, <sup>cc</sup>
<italic>p</italic>&#x20;&#x3c; 0.01: tumor-bearing control vs. tumor-bearing &#x2b; CUMS.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Fluoxetine Increased the Ratio of Tryptophan/Kynurenine</title>
<p>As shown in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>, tryptophan and 5-HT levels in group D (CUMS control), E (CUMS &#x2b; FLX), F (tumor-bearing &#x2b; CUMS), G (tumor-bearing &#x2b; CUMS &#x2b; FLX) were lower than those of group A (blank control). However, after fluoxetine administration, tryptophan and 5-HT levels in group C (tumor-bearing &#x2b; FLX), E (CUMS &#x2b; FLX) and G (tumor-bearing &#x2b; CUMS &#x2b; FLX) were higher than those of group B (tumor-bearing control), D (CUMS control) and F (tumor-bearing &#x2b; CUMS), respectively (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). Meanwhile, kynurenine levels in group C (tumor-bearing &#x2b; FLX) and G (tumor-bearing &#x2b; CUMS &#x2b; FLX) were lower than those of group B (tumor-bearing control) and F (tumor-bearing &#x2b; CUMS), respectively (<xref ref-type="fig" rid="F4">Figure&#x20;4C</xref>). The ratio of tryptophan/kynurenine was increased after fluoxetine administration (<xref ref-type="fig" rid="F4">Figure&#x20;4E</xref>). The data suggested that fluoxetine exerts antitumor effect via increasing the ratio of tryptophan/kynurenine.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Tryptophan <bold>(A)</bold>, 5-HT <bold>(B)</bold>, kynurenine <bold>(C)</bold>, <bold>(D)</bold> Trp/5-HT and <bold>(E)</bold> Trp/kyn blood levels in mice. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g004.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>Fluoxetine Enhanced Cellular Immunity <italic>in Vivo</italic>
</title>
<p>The flow cytometry data showed that the numbers of CD4<sup>&#x2b;</sup> Th cells and CD8<sup>&#x2b;</sup> Tc cells were increased (<xref ref-type="fig" rid="F5">Figures 5A,C</xref>), while the CD25<sup>&#x2b;</sup> FOXP3<sup>&#x2b;</sup> Treg cells were decreased (<xref ref-type="fig" rid="F5">Figures 5B,D</xref>) after fluoxetine administration. Thus, the results revealed that fluoxetine enhanced Th and Tc cells responses, induced cellular immunity <italic>in&#x20;vivo</italic>.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>The number of Th, Tc, and Treg cells in the peripheral blood of mice. <bold>(A,C)</bold> The percentages of Th and Tc cells. <bold>(B,D)</bold> The percentages of Treg cells. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g005.tif"/>
</fig>
</sec>
<sec id="s3-5">
<title>Fluoxetine Modulated the Inflammatory Cytokines</title>
<p>As shown in <xref ref-type="fig" rid="F6">Figure&#x20;6</xref>, fluoxetine promoted differentiation of CD4<sup>&#x2b;</sup> T&#x20;cells into Th1 cells that increased concentrations of IL-2, IFN-&#x3b3;; inhibited differentiation of CD4<sup>&#x2b;</sup> T&#x20;cells into Th2 and Th17 cells that decreased concentrations of IL-4, IL-6, IL-10, IL-17A. These data indicated that fluoxetine enhanced cellular immunity, weakened humoral immunity and inflammatory response.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Levels of inflammatory cytokines IFN-&#x3b3; <bold>(A)</bold>, TNF-&#x3b1; <bold>(B)</bold>, IL-1&#x3b1; <bold>(C)</bold>, IL-1&#x3b2; <bold>(D)</bold>, IL-2 <bold>(E)</bold>, IL-4 <bold>(F)</bold>, IL-6 <bold>(G)</bold>, IL-10 <bold>(H)</bold>, IL-17A (i) in peripheral blood. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g006.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>Fluoxetine Decreased IDO1, IDO2, AhR Expression <italic>in Vivo</italic>
</title>
<p>We further investigated the related enzyme expression of kynurenine pathway. The western blot data revealed that CUMS obviously up-regulated IDO1, IDO2 expression, fluoxetine administration reversed this up-regulation (<xref ref-type="fig" rid="F7">Figure&#x20;7</xref>). However, there was no significant change in TDO. Meanwhile the AhR expression showed a similar trend as well as IDO. This result indicated that fluoxetine down-regulated IDO1, IDO2, AhR to inhibit kynurenine pathway <italic>in&#x20;vivo</italic>.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Effect of fluoxetine on kynurenine pathway related enzymes in mice. <bold>(A,B)</bold> Representative and statistical analysis western blotting bands of tumor in mice. <bold>(C)</bold> mRNA relative expression of tumor in mice. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g007.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Fluoxetine Up-Regulated Immune Related Pro-Apoptosis Genes and Executioner Caspase Genes</title>
<p>Further, we investigated the key immune related pro-apoptosis genes (cleaved-caspase 1, 4, 5, 12) and executioner caspase genes (cleaved-caspase 3, 7). As shown in <xref ref-type="fig" rid="F8">Figure&#x20;8</xref>
<bold>,</bold> cleaved-caspase 4, 7, 12 showed a significant increase in group C (tumor-bearing &#x2b; FLX) and group G (tumor-bearing &#x2b; CUMS &#x2b; FLX) compared with group B (tumor-bearing control) and group F (tumor-bearing &#x2b; CUMS), respectively. Fluoxetine significantly potentiated the expression of cleaved-caspase 4, 7, and 12 in comparison with the vehicle group (<xref ref-type="fig" rid="F8">Figure&#x20;8</xref>). However, there was no significant change in cleaved-caspase 1, 3, or 5. These results indicated the pro-apoptotic and regulated inflammation cytokines activities of fluoxetine administration <italic>in&#x20;vivo</italic>.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Effect of fluoxetine on immune related pro-apoptosis genes in tumor bearing mice. <bold>(A,B)</bold> Representative and statistical analysis western blotting bands of tumor in mice. <bold>(C)</bold> mRNA relative expression of tumor bearing mice. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g008.tif"/>
</fig>
</sec>
<sec id="s3-8">
<title>Fluoxetine Exerts an Anti-Cancer Effect <italic>in Vitro</italic>
</title>
<p>We verified the antitumor effect of fluoxetine in A549 cells. The growth-inhibition curves showed that the 50% inhibition concentration (IC<sub>50</sub>) of fluoxetine was 15&#xa0;&#x3bc;mol/L (<xref ref-type="fig" rid="F9">Figure&#x20;9A</xref>). Compared with the control group, fluoxetine induced apoptosis and reduced migration and clonal formation (<xref ref-type="fig" rid="F9">Figures 9B&#x2013;E</xref>). Moreover, fluoxetine down-regulated IDO1, IDO2, and AhR expression and up-regulated immune related pro-apoptosis protein cleaved-caspase 4, 5, and 7 (<xref ref-type="fig" rid="F9">Figures 9F&#x2013;I</xref>). But there was no significant change in cleaved-caspase 1, 3, or 5. The results of the <italic>in&#x20;vitro</italic> experiment were consistent with those <italic>in&#x20;vivo</italic>.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Anticancer effect of fluoxetine in A549 cells. <bold>(A)</bold> Growth-inhibition curves of cells. <bold>(B,C)</bold> Cell apoptosis of A549 cells. <bold>(D)</bold> Cell migration of A549 cells. <bold>(E)</bold> Clone formation of A549 cells. <bold>(F,G)</bold> Representative and statistical analysis western blotting bands of tryptophan metabolic enzymes in A549 cells. <bold>(H,I)</bold> Representative and statistical analysis western blotting bands of apoptosis-related protein in A549 cells. Data were expressed as mean&#x20;&#xb1; SD. &#x2a;<italic>p</italic>&#x20;&#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic>&#x20;&#x3c; 0.01.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g009.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Chronic stress destroys immune homeostasis gradually which results in promoted tumor growth and proliferation (<xref ref-type="bibr" rid="B8">Hilakivi-Clarke and Dickson, 1995</xref>; <xref ref-type="bibr" rid="B26">Thaker et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B7">Hefner et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B32">Zhao et&#x20;al., 2015</xref>). In this study, we confirmed that chronic stress promoted tumor progression and found that fluoxetine had antitumor effects, possibly by suppressing the kynurenine pathway and enhancing cellular immunity.</p>
<p>In the present study, we established a mouse model of depression comorbid with tumor successfully. We verified the anti-tumor effect of fluoxetine in a tumor-bearing mouse model. The tumor weight in the control group was less than that in the CUMS group. Fluoxetine significantly inhibited the tumor growth compared with the corresponding control group. The above results indicate that fluoxetine is an antidepressant drug with anticancer effects.</p>
<p>The immunosuppressive protein IDO is a rate-limiting enzyme that inhibits T-cell proliferation by catabolizing tryptophan into the kynurenine pathway, leading to rapid proliferation of tumors (<xref ref-type="bibr" rid="B3">Boasso et&#x20;al., 2007</xref>; <xref ref-type="bibr" rid="B15">Li et&#x20;al., 2011</xref>). Our preliminary mechanism study showed that fluoxetine significantly inhibited the expressions of IDO1 and IDO2, increased tryptophan and 5-HT, and decreased kynurenine levels. These results suggested that fluoxetine suppressed the kynurenine pathway and promoted tryptophan accumulation. Low levels of tryptophan at the tumor site causes T&#x20;cells to arrest in the G1 phase of the cell cycle, which may represent an intrinsic immune escape mechanism of tumor cells (<xref ref-type="bibr" rid="B29">Uyttenhove et&#x20;al., 2003</xref>). Tryptophan metabolites such as serotonin and kynurenine play an important role in regulating immune function (<xref ref-type="bibr" rid="B20">Osawa et&#x20;al., 2011</xref>). 5-HT is an important immune regulatory factor, which can enhance the phagocytosis ability and promote the activation of T&#x20;cells (<xref ref-type="bibr" rid="B2">Askenase et&#x20;al., 1991</xref>; <xref ref-type="bibr" rid="B31">Young and Matthews, 1995</xref>; <xref ref-type="bibr" rid="B14">Leon-Ponte et&#x20;al., 2007</xref>). In our result, high levels of 5-HT and low levels of kynurenine may enhance anti-tumor immunity. The immunosuppressive protein IDO is a rate-limiting enzyme that inhibits T-cell proliferation by catabolizing tryptophan into the kynurenine pathway, leading to rapid proliferation of tumors.</p>
<p>With the low level of kynurenine, we noted that the number of Th1 T&#x20;cells and the IL-2, IFN-&#x3b3; level were increased in peripheral blood. We also found that the number of Th2 cells and Treg cells were significantly decreased, the levels of IL-4, IL-6, IL-10 and TNF-&#x3b1; were reduced. These data indicated that fluoxetine enhanced cellular immunity, weakened humoral immunity and inflammatory response (<xref ref-type="bibr" rid="B18">McHugh and Shevach, 2002</xref>; <xref ref-type="bibr" rid="B12">Kim and Maes, 2003</xref>; <xref ref-type="bibr" rid="B30">Workman et&#x20;al., 2009</xref>). In addition, the key immune related pro-apoptosis genes including cleaved-caspase 4, &#x2212;12 and executioner caspase genes cleaved-caspase 7 were up-regulated compared with corresponding control groups. However, cleaved-caspase 4, 5, and 7 were upregulated in cell assay. Immune related pro-apoptosis genes are involved in cytokine-mediated inflammation and play an auxiliary role in the exogenous apoptotic pathway (<xref ref-type="bibr" rid="B6">Gurung and Kanneganti, 2015</xref>). Different activation states of caspases can achieve different cell death phenotypes for significant anti-cancer effects (<xref ref-type="bibr" rid="B19">Nagarajan et&#x20;al., 2019</xref>). It should be noteworthy that there is a close relationship between immune mechanisms and apoptotic regulation control in normal and malignant tissues (<xref ref-type="bibr" rid="B28">Ucker and Levine, 2018</xref>).</p>
<p>As in clinical chemotherapy practice, it is routine for anticancer drugs combination. Therefore, we will further study the anticancer drug such as cisplatin combination with fluoxetine in animal experiments study to confirm whether fluoxetine presents a synergistically antitumor effect. In general, our work suggests that more attention should be paid to cancer patients with depression. Fluoxetine may be a promising potential adjunct therapy for cancer patients in the future.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, our results confirmed that depression promoted the growth of cancer. Fluoxetine is antidepressant drug with anticancer effect which may be via suppressing kynurenine pathway and enhancing cellular immunity (<xref ref-type="fig" rid="F10">Figure&#x20;10</xref>). These findings suggest that fluoxetine is a promising drug for cancer patients with depression.</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Fluoxetine enhances cellular immunity via down-regulating kynurenine pathway-associated genes IDO1, IDO2, AhR to inhibit tumor progression.</p>
</caption>
<graphic xlink:href="fphar-12-685898-g010.tif"/>
</fig>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Animal Research Ethics Committee in Fengxian Hospital, Southern Medical University.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>Experimental design: FX. Experimental operation: ZY, YC, ZL, ZG, YR, TZ, ZX, JD, CH. All authors reviewed the manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the Shanghai Municipal Health Commission (grant no. 20194Y0336), (grant no. ZYKC201703004), Shanghai Municipal Science Commission (grant no.19411971700) and Shanghai Municipal Health Commission (grant no. 20194Y0446).</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 id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12">
<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.2021.685898/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2021.685898/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.ZIP" id="SM1" mimetype="application/ZIP" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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