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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1630311</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>KCTD10 inhibits lung cancer metastasis and angiogenesis via ubiquitin-mediated &#x3b2;-catenin degradation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yin</surname>
<given-names>Zihao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Long</surname>
<given-names>Shengwen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ouyang</surname>
<given-names>Mi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Qinghao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Su</surname>
<given-names>Rongyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Zhiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ding</surname>
<given-names>Xiaofeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3070089/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xiang</surname>
<given-names>Shuanglin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>The National &amp; Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Science, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal &amp; Child Health Care Affiliated to Hunan Normal University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Interdisciplinary Studies, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Peptide and Small Molecule Drug R&amp;D Platform, Furong Laboratory, Hunan Normal University</institution>, <addr-line>Changsha</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jos&#xe9; D&#xed;az-Ch&#xe1;vez, Instituto Nacional de Cancerolog&#xed;a (INCAN), Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Pingping Chen, University of Miami, United States</p>
<p>Ting Ye, Southwest Medical University, China</p>
<p>Parviz Azimnasab-sorkhabi, The Ohio State University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaofeng Ding, <email xlink:href="mailto:dingxiaofeng@hunnu.edu.cn">dingxiaofeng@hunnu.edu.cn</email>; Shuanglin Xiang, <email xlink:href="mailto:xshlin@hunnu.edu.cn">xshlin@hunnu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1630311</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Yin, Long, Zhou, Ouyang, Wang, He, Su, Li, Ding and Xiang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yin, Long, Zhou, Ouyang, Wang, He, Su, Li, Ding and Xiang</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>Lung cancer remains a critical global health concern, characterized by the highest incidence and mortality rates among all cancers. Due to its heterogeneity and complexity, the molecular mechanism underlying lung cancer occurrence and progression needs to be further investigated. KCTD10 has been implicated in malignant phenotypes of several tumors, but the role of KCTD10 in lung cancer remains largely unexplored. In this study, we found that KCTD10 expression is significantly reduced in lung cancer tissues, and overexpression of KCTD10 could inhibit lung cancer progression both <italic>in vitro</italic> and <italic>in vivo</italic>. Immunoprecipitation-mass spectrometry (IP-MS), co-immunoprecipitation (Co-IP), and ubiquitination assays revealed that the BTB domain of KCTD10 interacts with Armadillo repeat domains 1&#x2013;9 of &#x3b2;-catenin and facilitates ubiquitin-dependent degradation of &#x3b2;-catenin via the K48-linked ubiquitin chains, followed by the downregulation of the &#x3b2;-catenin downstream target gene PD-L1. Notably, the combined treatment of KCTD10 overexpression with anti-PD-1 antibodies exhibited a synergistic effect in suppressing lung cancer progression and brain metastatic colonization in mice. In addition, vascular endothelial cell-specific knockout of Kctd10 (Kctd10<sup>flox/flox</sup>CDH5<sup>CreERT2/+</sup>) promoted lung cancer metastasis and tumor angiogenesis through &#x3b2;-catenin signaling. Finally, we identified METTL14- mediated N6-methyladenosine (m<sup>6</sup>A) modification within the coding sequence (CDS) region of KCTD10, which enhanced KCTD10 mRNA stability in a YTHDF2-dependent manner. These findings highlight KCTD10 as a critical regulator of lung cancer progression and the tumor microenvironment, suggesting its potential as a promising therapeutic target for lung cancer.</p>
</abstract>
<kwd-group>
<kwd>KCTD10</kwd>
<kwd>lung cancer metastasis</kwd>
<kwd>specific Kctd10 knockout</kwd>
<kwd>&#x3b2;-catenin</kwd>
<kwd>PD-1</kwd>
<kwd>M6A</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="86"/>
<page-count count="19"/>
<word-count count="7928"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Lung cancer is the most prevalent malignancy and the leading cause of cancer-related deaths worldwide, with approximately 85% of non-small cell lung cancer (NSCLC) (<xref ref-type="bibr" rid="B1">1</xref>). Despite advancements in treatment, lung cancer remains a major global health challenge (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Continued research into the molecular mechanisms underlying lung cancer progression and therapy resistance is crucial for the development of effective targeted therapies.</p>
<p>&#x3b2;-catenin is a key oncogenic driver in multiple cancers, including colorectal, breast, ovarian and gastric cancers (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>), and has been reported to enhance lung cancer development (<xref ref-type="bibr" rid="B9">9</xref>). &#x3b2;-catenin can improve the expression of downstream genes such as ZEB1 and cyclin-D1, promoting tumor proliferation, metastasis and drug resistance (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Moreover, &#x3b2;-catenin also alters lung epithelial cell phenotypes through epigenetic modification, contributing to lung cancer progression (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Tumor metastasis is closely associated with epithelial-mesenchymal transformation (EMT), and the conversion of the epithelial phenotype to a mesenchymal phenotype enhances metastatic potential (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Studies have addressed that &#x3b2;-catenin activates EMT and induces metastasis in lung cancer, colorectal cancer and hepatocellular carcinoma (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). In lung cancer, cancer-associated fibroblast-derived SDF-1 promotes EMT through &#x3b2;-catenin signaling (<xref ref-type="bibr" rid="B20">20</xref>). Additionally, &#x3b2;-catenin and Akt signaling pathways are critical for maintaining an EMT-associated cancer stem cell-like phenotype in breast and cervical cancers (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, Wnt/&#x3b2;-catenin signaling contribute to immune evasion and resistance to immune checkpoint inhibitors in several cancers, including NSCLC (<xref ref-type="bibr" rid="B22">22</xref>). Specifically, &#x3b2;-catenin enhances PD-L1 transcription and upregulates PD-L1 expression in lung cancer (<xref ref-type="bibr" rid="B10">10</xref>). The EMT/&#x3b2;-catenin/STAT3/PD-L1 axis accumulates in cancer stem cells and drives immune escape in glioblastoma (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Targeting CBP/&#x3b2;-catenin in combination with PD-L1 blockade has emerged as a potential therapeutic strategy for colon cancer liver metastases (<xref ref-type="bibr" rid="B25">25</xref>). Moreover, downregulation of &#x3b2;-catenin prevents M2 macrophage-mediated angiogenesis in lung cancer (<xref ref-type="bibr" rid="B26">26</xref>). Therefore, &#x3b2;-catenin plays a critical role in EMT regulation and tumor immune evasion.</p>
<p>KCTD10, a member of the PDIP1 gene family encoding a potassium ion tetramer channel protein (<xref ref-type="bibr" rid="B27">27</xref>) has been involved in embryonic angiogenesis and cardiac development through negatively regulating Notch signaling (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Knockdown of KCTD10 reduces VEGF secretion and affects angiogenesis in diabetic retinopathy (<xref ref-type="bibr" rid="B30">30</xref>), suggesting that KCTD10 interferes with angiogenesis in both physiologic and pathologic angiogenic processes. KCTD10 has also been linked to the development of certain, including gastrointestinal stromal tumor (GIST) and pancreatic cancer (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). The cullin-3/KCTD10 E3 ubiquitin ligase complex promotes RhoB degradation, and activates epidermal growth factor (EGF)/human epidermal growth factor receptor 2 (HER2)-dependent Rac1 signaling in HER2-positive breast cancer cells (<xref ref-type="bibr" rid="B35">35</xref>). Conversely, in hepatocellular carcinoma (HCC), KCTD10 acts as a tumor suppressor by promoting p53 expression via Notch signaling (<xref ref-type="bibr" rid="B36">36</xref>), suggesting its context-dependent roles in tumor malignancy.</p>
<p>Although KCTD10 has been reported to interact with PCNA in A549 lung cancer cells (<xref ref-type="bibr" rid="B37">37</xref>), its precise function and molecular mechanisms in lung cancer are elusive. In this study, we demonstrated that KCTD10 suppresses lung cancer proliferation and metastasis by promoting &#x3b2;-catenin degradation, leading to decreasing PD-L1 expression and enhanced efficacy of anti-PD-1 immunotherapy in lung cancer and lung cancer brain metastases. Furthermore, endothelial-specific knockout of Kctd10 promotes lung cancer metastasis and angiogenesis. The stability of KCTD10 mRNA is enhanced by METTL14/YTHDF2-mediated m<sup>6</sup>A modification. Our findings establish KCTD10 as a critical regulator of both tumor progression and the tumor environment, highlighting the therapeutic potential of the novel METTL14/KCTD10/&#x3b2;-catenin regulatory axis in lung cancer treatment.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Database analysis</title>
<p>Pan-cancer analysis was performed by UALCAN (<ext-link ext-link-type="uri" xlink:href="https://ualcan.path.uab.edu/">https://ualcan.path.uab.edu/</ext-link>) (<xref ref-type="bibr" rid="B38">38</xref>). Gene expression, correlation analysis and survival analysis was from GEPIA (<ext-link ext-link-type="uri" xlink:href="http://gepia.cancer-pku.cn/">http://gepia.cancer-pku.cn/</ext-link>) (<xref ref-type="bibr" rid="B39">39</xref>). Survival analysis was from Kaplan-meier-plotter (<ext-link ext-link-type="uri" xlink:href="https://kmplot.com/analysis/">https://kmplot.com/analysis/</ext-link>) (<xref ref-type="bibr" rid="B40">40</xref>). All survival analysis data were obtained from the Kaplan-meier-plotter website. The survival difference between groups was assessed using the log-rank test. Hazard ratios (HR), 95% confidence intervals (CI), and P-values were calculated using the Cox proportional hazards regression model. m<sup>6</sup>A site prediction was performed by SRAMP (<ext-link ext-link-type="uri" xlink:href="http://www.cuilab.cn/sramp">http://www.cuilab.cn/sramp</ext-link>) (<xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
<sec id="s2_2">
<title>Cell culture and transfection</title>
<p>Authenticated A549, murine lewis lung cancer cells (LLC), H1437, Beas-2b, H446 and H460 cell lines (Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences) were cultured in DMEM medium (Gibco, Gran Island, NY, USA). All these cells were cultured with 10% fetal calf serum (Gibco), 4 mM glutamine (Gibco), 100 U/ml penicillin and streptomycin (Invitrogen Life Technologies, Carlsbad, CA, USA) at 37&#xb0;C in a 5% CO<sub>2</sub> incubator. Cells were transfected with plasmid DNA and siRNAs using Lipofectamine 3000 (Invitrogen) according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2_3">
<title>Western blots</title>
<p>Cells were lysed with RIPA buffer (Beyotime, Shanghai, China), and protein extracts were separated on SDS-PAGE gels and transferred onto PVDF membranes (Bio-Rad, Richmond, CA) as previously described (<xref ref-type="bibr" rid="B42">42</xref>). Nuclear and cytoplasmic proteins were separated using a nuclear protein extraction kit (Solarbio, Beijing, China). Rabbit antibodies against KCTD10 (27279-1-AP, Proteintech, Wuhan, China) (1:1000), &#x3b2;-catenin (ET1601-5, HUABIO, Hangzhou, China) (1:1000), PD-L1 (ab228415, Abcam, Waltham, USA) (1:1000), E-cadherin (A3044, ABclonal, Wuhan, China) (1:1000), N-cadherin (A0433, ABclonal) (1:1000), METTL14 (ab309096, Abcam) (1:1000), YTHDF2 (ab220163, Abcam) (1:1000), Lamin B1 (A1910, ABclonal) (1:1000), Tubulin (AF7010, Affinity Biosciences, Changzhou, China) (1:5000) and Flag-Tag (F2555, Sigma) (1:1000) were used <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. Mouse monoclonal anti-ubiquitin (sc-8017, Santa Cruz Biotech, Texas, USA) were used. HRP-conjugated goat anti-rabbit and goat anti-mouse secondary antibodies were from ABclonal. Western blots were independently replicated for at least three times.</p>
</sec>
<sec id="s2_4">
<title>Immunohistochemical analysis and hematoxylin and eosin staining</title>
<p>Lung and brain tissues, along with corresponding tumor tissues were examined. Polyformalin-fixed paraffin-embedded (FFPE) tissues were processed through an alcohol gradient. Antigen retrieval was performed using citric acid solution (Service Biotechnology, Wuhan, China). Rabbit antibodies against KCTD10 (HPA014273, Sigma) (1:200, GAR), &#x3b2;-catenin (1:200), PD-L1 (1:200), c-Myc (380784, Zenbio, Chengdu, China) (1:200), VEGFR2 (A5609, ABclonal) (1:200), E-cadherin (1:200) and N-cadherin (1:200) were used. Mouse monoclonal antibodies against CD31 (ab9498, Abcam) (1:200), CD8&#x3b1; (70306, Cell Signaling, Massachusetts, USA) (1:200), Vimentin (240140, Zenbio) (1:200) were used. The primary antibodies were incubated overnight after blocking, and the HRP-conjugated goat anti-rabbit and goat anti-mouse secondary antibodies (Service Biotechnology) and DAB detection kit (Sevice Biotechnology) were incubated sequentially with the tissues, and the nuclei were counterstained with hematoxylin dye solution (Sevice Biotechnology). Sections were visualized under an Olympus BX53 microscope (Japan) after neutral resin sealing. The pathology information of human lung cancer tissues was shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;2</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>3</bold>
</xref>. HE staining was performed following standard protocols. These experiments were approved by the Human Ethics Committee of Hunan Normal University (2021&#x2013;017).</p>
</sec>
<sec id="s2_5">
<title>Plasmid construction</title>
<p>Full-length and truncated fragments of KCTD10 were cloned into pCMV-HA and pCMV-Myc vectors (Invitrogen), respectively. Full-length and deletion constructs of &#x3b2;-catenin were generated as described (<xref ref-type="bibr" rid="B43">43</xref>). The pcDNA3.1-(HA-Ub) was generated by inserting human UBC into pCDNA3.1-HA vector (Addgene, Massachusetts, USA). The HA-K0 and KCTD10 5&#x2032;UTR was synthesized by Sangon Biotech. The K27R, K33R and K48R mutations were amplified from the pcDNA3.1-(HA-Ub) plasmid and the K27O, K33O and K48O mutations were amplified from the pcDNA3.1-(HA-K0) plasmid using splicing overlapping extension polymerase chain reaction (SOE-PCR) site-directed mutagenesis. DNA fragments containing K11R, K63R, K11O and K63O were digested with SalI and HpaII, and ligated to the pcDNA3.1-(HA-Ub) and pcDNA3.1-(HA-K0) digested with the same enzymes, respectively. The KCTD10 CDS, 3&#x2032;UTR and 5&#x2032;UTR were inserted into to the pGL3 reporter plasmid (Promega, MA, USA). The primers used are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>. All constructs were verified using the Sanger method (Sangon Biotech).</p>
</sec>
<sec id="s2_6">
<title>Generation of KCTD10-overexpressing cell lines</title>
<p>KCTD10 lentivirus expression vectors and packaging plasmids (pHelper 1.0 and pHelper 2.0) (Genechem, Shanghai, China) were cotransfected into 293T cells, and viral supernatants were harvested, filtered, concentrated and titrated (<xref ref-type="bibr" rid="B44">44</xref>). The lentiviral expression vector GV365 included GFP protein and puromycin resistance gene for the observation of infection efficiency and screening of stable cell lines. Cells were placed in 6-well plates and infected at MOI=10 and observed for fluorescence four days post-infection. stable cell lines were selected with complete medium with 2 &#x3bc;g/ml puromycin (Solarbio), and maintained in medium with reduced puromycin concentration.</p>
</sec>
<sec id="s2_7">
<title>Cell proliferation</title>
<p>For colony formation, 1,000 cells were placed per well in 6-well plates. Cells were cultured for two weeks. Cells were fixed with methanol, stained with 0.5% crystal violet, and counted. For MTT assays, 10, 000 cells were placed per well in 96-well plates, incubated with MTT reagent for 4&#xa0;h and dissolved in DMSO. Absorbance at 492 nm was measured using a spectrophotometer (UV-2102C, Unico, Changsha, China).</p>
</sec>
<sec id="s2_8">
<title>Cell migration and invasion assays</title>
<p>For wound healing assays, cells were cultured in 24-well plates until reaching 90% confluence. A 10-&#x3bc;l pipette tip was used to generate wounds. After wound generation, cells were changed to medium containing 2% serum. Three wound areas in each well were marked on the bottom of the plates and imaged at 0, 24 and 48&#xa0;h after wound formation, which was photographed with the microscope at each time point. For cell migration, the chamber (Corning, New York, USA) was inserted into a 24-well plate, 2&#xd7;10<sup>4</sup> infected cells were distributed in the upper chamber with 10% or 15% FBS in the lower chamber. Cells were fixed, stained with 0.5% crystal violet (Sangon Biotech, Shanghai, China) and imaged under the microscope. Invasion assays were performed using the chamber covered with Matrigel glue (Corning), which were carried out as previously described (<xref ref-type="bibr" rid="B45">45</xref>).</p>
</sec>
<sec id="s2_9">
<title>Mice</title>
<p>4-week-old nude mice were purchased from the Hunan SJA Laboratory Animal Corporation (Changsha, China). 6-week-old C57BL/6J mice were purchased from Jackson Laboratories (BarBarbor, ME). 5-week-old <italic>CDH5</italic>
<sup>CreERT2/+</sup> and <italic>KCTD10</italic>
<sup>flox/flox</sup> mice were obtained from GemPharmatech (Nanjing, China) (<xref ref-type="bibr" rid="B28">28</xref>) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>). Mice were maintained in a 12&#xa0;h light/dark cycle and regularly fed with chow and water in an SPF room. All procedures were approved by Hunan Normal University (2021&#x2013;017).</p>
</sec>
<sec id="s2_10">
<title>Subcutaneous tumors and lung tumors of mice and tumor immunotherapy</title>
<p>1x10<sup>7</sup> cells were injected subcutaneously into 4-week-old nude mice, with tumor growth measured twice weekly until tumor volume reached 1,000 mm<sup>3</sup>. For lung colonization assays, 5&#xd7;10<sup>5</sup> LLC cells were injected via the tail vein of 6-week-old C57BL/6J mice or 4-week-old nude mice, and lungs were removed after 4 weeks. For brain metastases, 5&#xd7;10<sup>5</sup> LLC cells were injected intracranially into 6-week-old C57BL/6J mice and brains were harvested 4 weeks after injection as previously described (<xref ref-type="bibr" rid="B46">46</xref>). Anti-PD-1 therapy (100 &#xb5;g/mouse, RPM1-14, BioXCell, New Hampshire, USA) was injected intraperitoneally on days 11/14/17/20 in LLC models. Tumor weight, volume, survival and tissue analysis were recorded and analyzed. All mouse experiments were repeated at least twice.</p>
</sec>
<sec id="s2_11">
<title>Immunoprecipitation and mass spectrometry</title>
<p>Cells in 10&#xa0;cm dishes were grown to 80% confluence and transfected with 5 &#x3bc;g <italic>KCTD10</italic> and <italic>&#x3b2;-catenin</italic> (full length or truncated). After 30&#xa0;h, cells were lysed and whole cell extracts were immunoprecipitated using rabbit polyclonal antibodies against Myc-tag (C3956, Sigma) or HA-tag (05-904, Sigma) and protein A/G plus beads (K1305, APEXBIO, Texas, USA). Immunoprecipitates were resolved by 10% SDS-polyacrylamide gels and detected by HA-tag or Myc-tag. Rabbit preimmune IgG (ab37355, Abcam) served as a negative control. For mass spectrometry, proteins from KCTD10-overexpressing A549 cells were separated in 10% SDS-PAGE gels after immunoprecipitation using either IgG or Flag-tag (F7425, Sigma), and stained using a Protein Fast Silver Stain Kit (Leagene Biotechnology, China) and analyzed by mass spectrometry (Novogene, Beijing, China) (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
</sec>
<sec id="s2_12">
<title>Protein degradation and ubiquitination assays</title>
<p>To assess protein stability, cells and KCTD10-overexpressing cells were treated with 50 &#x3bc;g/mL CHX (Selleck Chemicals, Texas, USA) for 0, 2, 8&#xa0;h, respectively. The proteins were extracted and detected through Western blotting. To identify protein degradation pathway, transfected cells were treated with 20 &#xb5;M MG132 for 10&#xa0;h before harvesting. Cells were lysed and analyzed by Western blotting with antibodies against Flag-Tag, &#x3b2;-catenin and Tubulin. For ubiquitin experiments, cells were transfected either with the expression plasmids pCMV-Myc-&#x3b2;-catenin alone or with pCMV-HA-KCTD10 and pcDNA3.1-(HA-Ub) or its mutants. 24&#xa0;h after transfection. Myc-&#x3b2;-catenin was immunoprecipitated with rabbit polyclonal anti-&#x3b2;-catenin antibodies and these immunoprecipitates were subjected to Western blotting with ubiquitin to detect &#x3b2;-catenin-ubiquitin conjugation.</p>
</sec>
<sec id="s2_13">
<title>Immunofluorescence double staining</title>
<p>Tissue sections were dehydrated and processed for antigen retrieval. For cell immunofluorescence double labeling, the cells were fixed with methanol. The tissue sections and cells were blocked and incubated overnight with the first primary antibodies, followed by incubation with the specific secondary antibodies. After antigen repair, the second primary antibodies were added for overnight incubation, and another species-specific secondary antibodies were added for incubation. Primary antibodies are KCTD10 (1:100), &#x3b2;-catenin (1:100), CD31 (1:200), &#x3b1;-SMA (250104, Zenbio) (1:100). Alexa Fluor 488 phalloidin goat anti-rabbit (A-11008, Thermo Fisher Scientific, Massachusetts, USA) (1:2000) and Alexa 594 goat anti-mouse antibodies (A11005, Thermo Fisher Scientific) (1:2000) were used as secondary antibodies. The nucleus was stained with Hoechst 33258 (Beyotime). The fluorescence signals were analyzed with a fluorescence microscope (Zeiss Axioskop-2).</p>
</sec>
<sec id="s2_14">
<title>Generation of endothelial cell-specific Kctd10 knockout mice and lung tumor model</title>
<p>Kctd10<sup>flox/flox</sup> and CDH5<sup>CreERT2/+</sup> mice were intercrossed and screened to generate homozygous Kctd10<sup>flox/flox</sup>CDH5<sup>CreERT2/+</sup> mice. To obtain the CDH5<sup>CreERT2/+</sup>Kctd10<sup>-/-</sup> mice, the mice were administered intraperitoneally with tamoxifen (75 mg/kg body weight) for one week. For the LLC mouse models, 1&#xd7;10<sup>6</sup> tumor cells were injected via the tail vein into tamoxifen-injected 6-week-old female Kctd10<sup>flox/flox</sup> mice or CDH5<sup>CreERT2/+</sup> Kctd10<sup>-/-</sup>mice.</p>
</sec>
<sec id="s2_15">
<title>RNA extraction and qRT-PCR</title>
<p>Total RNA was extracted from the cell lines using TRIzol reagent (Thermo Fisher Scientific) and reverse transcribed into cDNA using MMLV RTase and random primers (Sangon Biotech). SYBR green (Invitrogen)-based real-time PCR was performed using an ABI 7900 thermocycler (Thermo Fisher Scientific). Reactions were incubated in a 96-well plate at 95&#xb0;C for 5&#xa0;min, followed by 35 cycles of 95&#xb0;C for 20 sec and 60&#xb0;C for 30 sec. The PCR primers are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>. The relative expression levels of genes were calculated by the 2<sup>&#x2212;&#x394;&#x394;Ct</sup> method compared to &#x3b2;-actin.</p>
</sec>
<sec id="s2_16">
<title>m<sup>6</sup>A assay</title>
<p>m<sup>6</sup>A modification sites were predicted on the SRAMP website. For MeRIP assays, RNA was isolated and incubated with 2 &#x3bc;g m<sup>6</sup>A (A19841, ABclonal) or IgG antibodies. Precipitated RNA was reverse transcribed, amplified and then subjected to agarose gel electrophoresis as described (<xref ref-type="bibr" rid="B49">49</xref>). m<sup>6</sup>A-related siRNAs were purchased from genepharma (Shanghai, China) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;6</bold>
</xref>).</p>
</sec>
<sec id="s2_17">
<title>Luciferase reporter assays</title>
<p>Cells were co-transfected with recombinant pGL3 vectors bearing CDS, 3&#x2032;UTR and 5&#x2032;UTR of the KCTD10 gene or specific siRNAs. After the transfection, &#x3b2;-galactosidase and luciferase activities were measured using the Luciferase Assay System (Promega, Madison, WI) in a TD-20/20 luminometer (Turner Design, Sunnyvale, CA) as previously reported (<xref ref-type="bibr" rid="B36">36</xref>).</p>
</sec>
<sec id="s2_18">
<title>Statistical analysis</title>
<p>Data are expressed as mean &#xb1; SD of at least three independent experiments. Statistical analysis was performed using GraphPad Prism 7 (San Diego, California, USA) and SPSS 22.0 (SPSS Inc., Chicago, Illinois, USA). The significance of the differences between groups was determined using Student&#x2019;s <italic>t</italic>-test and multi-group comparisons was determined using one-way ANOVA with <italic>post hoc</italic> tests. Values of P&lt;0.05 were considered statistically significant. *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>KCTD10 expression is downregulated in lung cancer tissues and correlates with favorable patient prognosis</title>
<p>To assess the expression of KCTD10 in lung cancer, we analyzed the TCGA Pan-Cancer and GEPIA database and found lower KCTD10 expression in lung cancer tissues than in normal tissues (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>). Western blots further confirmed reduced KCTD10 expression in lung cancer cell lines compared with bronchial epithelial Bears-2b cells (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). IHC analysis revealed that KCTD10 expression was markedly lower in high-stage lung cancer patients (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>), with a particularly pronounced reduction in LUAD (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1E, F</bold>
</xref>). Kaplan-Meier Plotter survival analysis revealed that patients with high expression of KCTD10 exhibited significantly prolonger overall survival (OS) and post-progression survival (PPS) (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1G, H</bold>
</xref>), suggesting a potential tumor-suppressive role of KCTD10. Interestingly, the hazard ratio (HR) for KCTD10 was lower in LUAD, implying a notable role for KCTD10 in this lung cancer type (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1I</bold>
</xref>). As demonstrated in the GEPIA database analysis, elevated KCTD10 expression correlates with prolonged disease-free survival (DFS) in patients, suggesting its potential role in inhibiting tumor metastasis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1J</bold>
</xref>). Thus, KCTD10 expression is inversely correlated with lung cancer stage and is associated with a favorable prognosis for lung cancer patients.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Low expression of KCTD10 in lung cancer. <bold>(A)</bold> GEPIA database analysis of KCTD10 expression in normal lung tissues and lung cancer tissues. <bold>(B)</bold> Western blot analysis of KCTD10 expression in lung cancer cell lines and normal cell line Bears-2b. <bold>(C, D)</bold> IHC analysis of KCTD10 expression in human lung cancer tissues (n=80) and corresponding staining scores in different lung cancer grades. <bold>(E, F)</bold> IHC analysis of KCTD10 expression in LUAD (n=42) and LUSC (n=34). <bold>(G)</bold> Correlation between KCTD10 expression and overall survival in lung cancer patients, HR=0.65 (0.55-0.75), logrank P=1.2e-08. <bold>(H)</bold> Correlation between KCTD10 expression and post-progression survival of lung cancer patients, HR=0.64 (0.42-0.99), logrank P=0.042. <bold>(I)</bold> Correlation between KCTD10 expression and overall survival in LUAD patients, HR=0.62 (0.48-0.79), logrank P=0.00013. <bold>(J)</bold> Correlation between KCTD10 expression and disease free survival in LUAD patients, HR=0.41 (0.35-0.47), logrank P=0.042. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g001.tif">
<alt-text content-type="machine-generated">Composite image analyzing KCTD10 in lung cancer. (A) Box plots show KCTD10 expression in LUAD and LUSC tumors. (B) Western blot shows KCTD10 protein levels in different lung cancer cell lines. (C) Immunohistochemistry (IHC) images display KCTD10 staining in normal and lung cancer tissues. (D-F) IHC scores for lung cancer, LUAD, and LUSC. (G-J) Survival analysis plots for overall survival (OS), progression-free survival (PPS), and disease-free survival (DFS) indicating differences between high and low KCTD10 expression groups. Statistical significance is noted, with marked differences in survival probabilities.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<title>Overexpression of KCTD10 suppresses lung cancer growth and metastasis</title>
<p>To further investigate the functional role of KCTD10, we constructed a stable A549 lung cancer cell line overexpressing KCTD10 by lentiviral transduction and demonstrated successful overexpression of KCTD10 by fluorescence imaging and Western blots (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1B</bold>
</xref>). MTT assays revealed that overexpression of KCTD10 reduced cell viability while enhancing cisplatin-induced cytotoxicity (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1C</bold>
</xref>). And colony formation assays further supported the suppressive effect of KCTD10 on the growth of A549 cells (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Subsequently, subcutaneous tumorigenesis assays showed that KCTD10-overexpression A549 cells formed significantly smaller tumors compared to controls (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D, E</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1D</bold>
</xref>). HE staining revealed decreased tumor cell density in Kctd10-overexpressing tumors (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2F</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1E</bold>
</xref>). These results indicate that KCTD10 inhibits lung cancer growth both <italic>in vitro</italic> and <italic>in vivo</italic>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Overexpression of KCTD10 inhibits lung cancer growth and metastasis <italic>in vitro</italic> and <italic>in vivo</italic>. <bold>(A)</bold> Fluorescence image showing the efficiency of lentiviral infection in A549 cells. <bold>(B)</bold> Western blot analysis confirming KCTD10 overexpression in A549 cells. <bold>(C)</bold> Colony formation assays demonstrating the effect of KCTD10 overexpression on cell growth. <bold>(D, E)</bold> Effects of KCTD10 on the weight and volume of subcutaneous A549 tumors (n=4/group). <bold>(F)</bold> Effects of KCTD10 on cell morphology of A549 subcutaneous tumors. <bold>(G, H)</bold> Transwell assays evaluating the effect of KCTD10 overexpression on A549 cell migration and invasion. <bold>(I, J)</bold> Effect of KCTD10 overexpression on lung colonization of A549 cells injected via the tail vein (n=4). 5x10<sup>5</sup> A549 cells and KCTD10-overexpressing A549 cells were injected. <bold>(K, L)</bold> Western blot and IHC analysis of EMT-related gene expression. ***P&lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g002.tif">
<alt-text content-type="machine-generated">Comparison of NC and KCTD10 effects in A549 cells and tumors. (A) Fluorescent microscopy showing increased expression of green fluorescent protein in KCTD10 group. (B) Western blot analysis indicating KCTD10 and tubulin levels. (C) Colony formation assay with a significant reduction in colonies for KCTD10. (D, E) Images and graphs showing tumors with reduced volume and weight in KCTD10. (F) Histological analysis revealing cellular changes. (G, H) Migration and invasion assays showing reduced cell numbers in KCTD10. (I, J) Lung nodules and tumor burden significantly decreased in KCTD10. (K) Western blot of adhesion and signaling proteins. (L) Immunohistochemistry displaying differences in protein expression between groups.</alt-text>
</graphic>
</fig>
<p>Lung cancer metastasis remains a major clinical challenge (<xref ref-type="bibr" rid="B50">50</xref>). To determine whether KCTD10 influences metastatic ability of lung cancer, we performed wound healing, cell migration and invasion assays and found that KCTD10 overexpression significantly inhibited the migration and invasion ability of A549 cells (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2G, H</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1F</bold>
</xref>). In an <italic>in vivo</italic> metastasis model, tail vein injection of KCTD10-overexpressing A549 cells into nude mice resulted in a significant reduction in lung nodule formation (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2I</bold>
</xref>). HE staining further confirmed a lower lung tumor burden in the KCTD10-overexpressing group compared to the NC group (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2J</bold>
</xref>). Since tumor metastasis is closely linked to an EMT process (<xref ref-type="bibr" rid="B19">19</xref>), we examined EMT markers in A549 cells and subcutaneous tumors. Western blots and IHC analyses showed that overexpression of KCTD10 increased the epithelial marker E-cadherin while decreased the stromal markers N-cadherin and &#x3b2;-catenin (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2K, L</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2A, B</bold>
</xref>). Moreover, KCTD10-overexpressing cells exhibited a morphology resembling epithelial cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2C</bold>
</xref>). Additionally, CD31 expression, an angiogenesis marker, was downregulated in KCTD10-overexpressing subcutaneous tumors, indicating reduced tumor angiogenesis (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2L</bold>
</xref>). Similar results were observed in LLC and H1437 cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;3A&#x2013;F</bold>
</xref>). These findings suggest that KCTD10 inhibits lung cancer metastasis by suppressing EMT and tumor angiogenesis.</p>
</sec>
<sec id="s3_3">
<title>KCTD10 interacts with &#x3b2;-catenin and promotes its ubiquitin-dependent degradation via the K48 ubiquitin chain</title>
<p>To determine the molecular mechanism of KCTD10 in lung cancer, we performed IP followed by silver staining and MS. The identified differential bands revealed potential interacting KCTD10-interacting proteins (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>) and their predicted subcellular localization (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4A</bold>
</xref>). KEGG enrichment analysis indicated strong associations between KCTD10-interacting proteins and metabolism, cancers and immune system (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;4B</bold>
</xref>). GO enrichment confirmed that KCTD10 highly correlated with protein binding, as previous reported (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;5A</bold>
</xref>) (<xref ref-type="bibr" rid="B51">51</xref>). KOGs analysis highlighted its involvement in post-translational modifications, protein turnover, chaperones and signal transduction (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;5B</bold>
</xref>). Based on protein-peptide scores, we identified &#x3b2;-catenin as a top interactor of KCTD10 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). &#x3b2;-catenin is well-established oncogene implicated in EMT and tumor progression (<xref ref-type="bibr" rid="B22">22</xref>). GEPIA database analysis showed that &#x3b2;-catenin is highly expressed in LUAD (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). IHC analysis further showed a positive correlation between &#x3b2;-catenin expression and lung cancer stage (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3D, E</bold>
</xref>), particularly in LUAD (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>). The IHC scores revealed a negative correlation between KCTD10 and &#x3b2;-catenin expression (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>). Moreover, Kaplan-Meier survival analysis indicated that high &#x3b2;-catenin expression is associated with poor prognosis (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3H&#x2013;K</bold>
</xref>). Importantly, overexpression of KCTD10 reduced &#x3b2;-catenin and its downstream effector, PD-L1, in lung cancer cells (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3L</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Interaction between KCTD10 and &#x3b2;-catenin proteins. <bold>(A)</bold> IP-MS and silver staining showing differential bands between anti-KCTD10 antibodies and IgG. <bold>(B)</bold> The top nine polypeptide scores of KCTD10-interacting proteins. <bold>(C)</bold> GEPIA database analysis of &#x3b2;-catenin expression in normal and lung cancer tissues. <bold>(D, E)</bold> IHC analysis of &#x3b2;-catenin expression and corresponding staining scores in different lung cancer grades (n=80). <bold>(F)</bold> IHC analysis of &#x3b2;-catenin in LUAD (n=42). <bold>(G)</bold> Correlation between KCTD10 and &#x3b2;-catenin expression in lung cancer. <bold>(H&#x2013;K)</bold> Correlation between &#x3b2;-catenin expression and overall/post-progression survival of lung cancer patients. <bold>(H)</bold> HR=1.15 (1.02-1.29), logrank P=0.027. <bold>(I)</bold> HR=1.45 (1.08-1.97), logrank P=0.014. <bold>(J)</bold> HR=1.72(1.31-2.25), logrank P=6.3e-05. <bold>(K)</bold> HR=1.98 (1.29-3.05), logrank P=0.0015. <bold>(L)</bold> Western blot analysis of &#x3b2;-catenin expression and its downstream genes in A549 cells. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g003.tif">
<alt-text content-type="machine-generated">A composite image with multiple panels illustrating research data on KCTD10 and &#x3b2;-catenin expression in lung cancer. Panel A shows a Western blot for protein markers. Panel B presents a bar graph of peptide scores for various proteins. Panel C is a box plot comparing &#x3b2;-catenin expression in lung tumor versus normal tissue. Panel D includes immunohistochemistry images showing &#x3b2;-catenin expression across lung cancer grades. Panels E and F present bar graphs of &#x3b2;-catenin IHC scores for lung cancer and LUAD. Panel G shows a scatter plot illustrating the correlation between KCTD10 and &#x3b2;-catenin expression. Panels H-K are Kaplan-Meier survival curves for lung cancer outcomes, and Panel L is a Western blot analyzing protein expression in A549 cells.</alt-text>
</graphic>
</fig>
<p>To verify the interaction between KCTD10 and &#x3b2;-catenin, co-IP assays were performed. Endogenous &#x3b2;-catenin was detected in immune complexes of HA-KCTD10, whereas control IgG failed to precipitate any band (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). To map the binding regions, we constructed truncated plasmids of KCTD10 and &#x3b2;-catenin, we found that the BTB region of KCTD10 binds to the Armadillo repeat region (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>) of &#x3b2;-catenin (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B&#x2013;D</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;7A&#x2013;C</bold>
</xref>). We next examined whether KCTD10 promoted the degradation of &#x3b2;-catenin using cycloheximide (CHX), which revealed accelerated &#x3b2;-catenin degradation in KCTD10-overexpressing cells (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>), and this was rescued by the proteasome inhibitor MG132 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>), suggesting KCTD10 mediates &#x3b2;-catenin degradation via the ubiquitin-proteasomal pathway. Immunofluorescence and nucleocytoplasmic fractionation experiments confirmed that KCTD10 primarily degrades &#x3b2;-catenin in the cytoplasm (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4G, H</bold>
</xref>). Ubiquitination assays demonstrated that co-transfection of KCTD10 and ubiquitin plasmids promoted the ubiquitination of &#x3b2;-catenin (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4I</bold>
</xref>). To identify the specific polyubiquitin linkage, we constructed a series of lysine-linked ubiquitin active and mutant site plasmids and found that KCTD10 facilitates polyubiquitination of &#x3b2;-catenin via K48-linked ubiquitin chains (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4J, K</bold>
</xref>), supporting its role in the ubiquitin-proteasomal degradation of &#x3b2;-catenin. Similar results were observed in LLC and H1437 cells (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;8A-D</bold>
</xref>). Taken together, our results demonstrated that KCTD10 directly binds with &#x3b2;-catenin and promotes its K48-linked polyubiquitination and proteasomal degradation.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>KCTD10 promotes ubiquitination and degradation of &#x3b2;-catenin through the K48-ubiquitin chain. <bold>(A)</bold> Co-IP analysis demonstrating the interaction between KCTD10 and &#x3b2;-catenin proteins. <bold>(B)</bold> Representative schematic of KCTD10 and &#x3b2;-catenin protein domains. <bold>(C, D)</bold> Identification of the interacting regions between truncated KCTD10 and &#x3b2;-catenin proteins. <bold>(E)</bold> Degradation of &#x3b2;-catenin proteins after CHX treatment. <bold>(F)</bold> Effect of KCTD10 on &#x3b2;-catenin protein stability in the presence of MG132. <bold>(G, H)</bold> Fluorescence analysis and Western blots showing KCTD10-induced degradation of cytoplasmic &#x3b2;-catenin. <bold>(I&#x2013;K)</bold> KCTD10 overexpression enhanced the ubiquitination of &#x3b2;-catenin. Myc-&#x3b2;-catenin was immunoprecipitated with rabbit polyclonal anti-&#x3b2;-catenin antibodies and these immunocomplexes were subjected to Western blotting with anti-ubiquitin antibodies to detect &#x3b2;-catenin-ubiquitin conjugates. In the ubiquitin constructs, R indicates that the corresponding lysine residue has been mutated to arginine, abolishing linkage at that site; O indicates that only the corresponding lysine residue remains intact, while all other lysines are mutated, allowing selective assessment of linkage through that specific site.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g004.tif">
<alt-text content-type="machine-generated">Experimental data on the interaction between KCTD10 and &#x3b2;-catenin. Panels A, D, and C show co-immunoprecipitation results demonstrating binding. Panel B illustrates domain structures. Panel E indicates &#x3b2;-catenin protein stability in the presence of KCTD10 over time. Panels F and H show protein levels under various conditions. Panel G features fluorescence microscopy images of cells stained for DAPI, KCTD10, and &#x3b2;-catenin. Panels I, J, and K present ubiquitination assays with different Lysine mutations, indicating how KCTD10 affects &#x3b2;-catenin ubiquitination.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<title>Overexpression of KCTD10 enhances the therapeutic effect of PD-1 blockade in a metastatic lung cancer model</title>
<p>Since KCTD10 downregulates &#x3b2;-catenin and PD-L1, and PD-L1 expression is known to promote tumor immune evasion in lung cancer (<xref ref-type="bibr" rid="B52">52</xref>), we investigated the impact of KCTD10 on lung cancer immunotherapy. Kaplan-Meier Plotter survival analysis revealed that high KCTD10 expression significantly correlated with improved prognosis in lung cancer patients with CD8<sup>+</sup> T cell infiltration (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;9A</bold>
</xref>), indicating a potential role in immune system activation. To assess the therapeutic potential of KCTD10 in combination with immune checkpoint blockade, KCTD10-overexpressing LLC cells were injected into 6 week-old C57BL/6J mice, followed by anti-PD-1 antibody treatment (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). Fluorescence analysis and Western blots confirmed successful Kctd10 overexpression (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5C, D</bold>
</xref>). Survival analysis demonstrated that both Kctd10 overexpression and anti-PD-1 treatment individually prolonged the survival of C57BL/6 mice compared to the NC group. Notably, the combination of KCTD10 overexpression and anti-PD-1 therapy exhibited an additive effect, with 50% of the combination group surviving beyond 50 days, compared to fewer than 30 days in the NC group (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>). HE staining further showed that Kctd10 overexpression and PD-1 blockade reduced lung tumor burden, independently, with the combination treatment exerting the most pronounced effect (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>). IHC and IF analysis indicated that Kctd10 overexpression suppressed &#x3b2;-catenin and Pd-l1 expression while improved CD8a<sup>+</sup> T cell infiltration. The combined treatment led to the most strongly improvement in CD8a<sup>+</sup> T cell infiltration (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5G, H</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;9B, C</bold>
</xref>). Therefore, overexpression of Kctd10, in conjunction with PD-1 blockade, effectively inhibits lung tumor metastasis and augments anti-tumor immunity.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Overexpression of Kctd10 combined with anti-PD-1 therapy effectively suppresses lung tumor colonization. <bold>(A)</bold> Effect of Kctd10 expression on patient survival in high CD8 expression cohorts. <bold>(B)</bold> Combined therapeutic strategy for LLC tumors inoculated into C57BL/6 mice. <bold>(C, D)</bold> Construction and validation of stable LLC cell lines overexpressing Kctd10. <bold>(E, F)</bold> Effect of Kctd10 and anti-PD-1 therapy on lung tumor size and survival in LLC-bearing mice (n=4/group). <bold>(G)</bold> IHC analysis of &#x3b2;-catenin and Pd-l1 proteins expression following Kctd10 overexpression and anti-PD-1 treatment. <bold>(H)</bold> IF analysis of CD8a proteins expression following Kctd10 overexpression and anti-PD-1 treatment. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g005.tif">
<alt-text content-type="machine-generated">Scientific image showing multiple panels related to lung cancer research with high CD8 levels and treatments. Panel A: Survival probability graph comparing patients with high and low CD8. Panel B: Diagram explaining anti-PD-1 injection timeline. Panel C: Images of LLC cells with different Kctd10 expressions. Panel D: Western blot of Kctd10 and Tubulin in LLC cells. Panel E: Percent survival graph comparing different treatment groups. Panel F: Histological images of tumors and bar graph of tumor burden area. Panel G: Staining of Kctd10, &#x3b2;-catenin, and Pdl1 in tumor tissues. Panel H: Immunofluorescence showing DAPI, Kctd10, and CD8a in tissues.</alt-text>
</graphic>
</fig>
<p>Brain metastases are among the most common distant metastases in lung cancer (<xref ref-type="bibr" rid="B53">53</xref>). To investigate the effect of Kctd10 on brain colonization, we intracranially injected LLC cells into 6 week-old C57BL/6J mice and assessed the impact of Kctd10 overexpression combined with anti-PD-1 blockade (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Both Kctd10 overexpression and anti-PD-1 treatment independently prolonged the mouse survival compared to the NC group. Remarkedly, the combination therapy showed the greatest survival benefic, with 80% of the mice in this group survived beyond 60 days, whereas those in the NC group die at approximately 23 days (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>). HE staining revealed that both Kctd10 overexpression and anti-PD-1 treatment independently reduced brain tumor burden, with the combined treatment exhibiting the most profound effect (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). IHC analysis of brain sections revealed that overexpression of Kctd10 downregulated &#x3b2;-catenin and Pd-l1 but increased CD8a<sup>+</sup> T cell abundance, indicating the similar effects in the lungs. Notably, the combined therapy led to the most substantial increase in CD8a<sup>+</sup> T cell infiltration, further enhancing the anti-tumor immune response (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6D, E</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;9D, E</bold>
</xref>). These results highlight the therapeutic potential of KCTD10 overexpression in improving the efficacy of immune checkpoint blockade for lung cancer metastases.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Kctd10 in combination with anti-PD-1 therapy suppressed lung cancer brain metastasis. <bold>(A)</bold> Combined strategy for intracranial LLC metastatic tumor treatment in C57BL/6 mice. <bold>(B, C)</bold> Effects of Kctd10 and anti-PD-1 therapy on intracranial tumor sizes and survival in LLC-bearing mice (n=4/group). <bold>(D)</bold> IHC analysis of &#x3b2;-catenin and Pd-l1 proteins following Kctd10 overexpression and anti-PD-1 therapy. <bold>(E)</bold> IF analysis of CD8a proteins following Kctd10 overexpression and anti-PD-1 therapy. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g006.tif">
<alt-text content-type="machine-generated">Diagram displaying the effects of anti-PD-1 treatment on intracranial tumor growth. Panel A outlines the treatment schedule for tumor-bearing mice. Panel B shows a Kaplan-Meier survival curve with different group treatments. Panel C presents histological images of brain tumors and a graph indicating tumor burden percentage for each group. Panel D depicts immunohistochemistry results for Kctd10, &#x3b2;-catenin, and Pdl1 expressions. Panel E presents immunofluorescence staining for DAPI, Kctd10, and CD8a. Statistical significance is indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<title>Endothelial-specific knockout of Kctd10 promotes tumor metastasis and angiogenesis in lung cancer</title>
<p>Tumor angiogenesis is critical for tumor growth and metastasis, while &#x3b2;-catenin can promote tumor angiogenesis via VEGF signaling (<xref ref-type="bibr" rid="B54">54</xref>). Immunofluorescence analysis showed that Kctd10 is co-localized with endothelial markers Cd31 and Cd34 in multiple subcutaneous tumors (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;10A&#x2013;F</bold>
</xref>), suggesting that Kctd10 is associated with tumor angiogenesis. Given that endothelial cells in the tumor microenvironment are dispensable for tumor angiogenesis (<xref ref-type="bibr" rid="B55">55</xref>), we generated <italic>Kctd10</italic>
<sup>flox/flox</sup>
<italic>CDH5</italic>
<sup>CreERT2/+</sup> mice that specifically delete Kctd10 in vascular endothelial cells (<xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7A, B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;10G</bold>
</xref>). Following injection of 1x10<sup>6</sup> LLC cells (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), we observed significantly increased lung tumor burden in Kctd10-knockout mice (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). HE staining confirmed a large lung tumor area in these mice compared to controls (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>). Immunofluorescence analysis revealed a decrease in normal blood vessels, as indicated by Cd31 labeling, whereas the number of tumor-associated blood vessels was markedly increased in <italic>Kctd10</italic>-knockout mice (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>). Normal vessels have a higher pericyte density than tumor vessels (<xref ref-type="bibr" rid="B56">56</xref>). Additionally, pericyte coverage, assessed by &#x3b1;-sma staining, was reduced in tumor regions, indicating a shift toward an abnormal tumor vasculature phenotype. And the expression of &#x3b2;-catenin was upregulated in <italic>Kctd10</italic> knockout mice (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;10H</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>11A</bold>
</xref>). The IHC results showed that the expression of Vegfr2 correlated with Cd31 levels, suggesting that Kctd10 deficiency promotes pathological angiogenesis while impairing normal angiogenesis. Furthermore, the upregulation of EMT-associated proteins indicated an enhanced metastatic phenotype and tumor angiogenesis (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7F</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;11B</bold>
</xref>). These results suggest that endothelial-specific loss of Kctd10 promotes tumor angiogenesis and metastasis while inhibits normal vascular development.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Endothelial Kctd10 knockout inhibits angiogenesis and metastatic phenotypes in lung tumors. <bold>(A)</bold> Construction strategy for Kctd10<sup>flox/flox</sup>CDH5<sup>CreERT2/+</sup> mice. <bold>(B)</bold> Experimental strategy for inducible Kctd10 knockout and LLC cell injection in Kctd10<sup>flox/flox</sup>CDH5<sup>CreERT2/+</sup> mice. Mice were treated by tamoxifen (75 mg/kg) for one week (n=5/group). <bold>(C, D)</bold> Images of lung cancer and corresponding HE staining in conditional knockout mice. <bold>(E, F)</bold> Immunofluorescence and IHC analysis of target gene expression in mouse lungs and lung tumor tissues. ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g007.tif">
<alt-text content-type="machine-generated">Diagrams and graphs show experimental results on Kctd10 gene in cancer studies. Panel A illustrates gene structure. Panel B outlines experimental procedure with tamoxifen treatment and LLC cell injection. Panel C compares liver nodules between Kctd10 mutant and control mice with a bar graph showing increased nodules in mutants. Panel D shows histological sections and a bar graph indicating more cancer area in mutants. Panel E features immunofluorescent staining for proteins with bar graphs showing expression differences. Panel F displays tissue staining for markers with bar graphs showing significant differences in protein expression levels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_6">
<title>The expression of KCTD10 is regulated by m<sup>6</sup>A modification</title>
<p>To investigate the upstream regulatory mechanism of KCTD10 expression in lung cancer, we explored the m<sup>6</sup>A modification, the most common form of mRNA modification for the regulation of mRNA stability (<xref ref-type="bibr" rid="B57">57</xref>). Previous studies have shown that m<sup>6</sup>A modification plays a tumor-suppressive role in lung cancer (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). Bioinformatic analysis predicted potential m<sup>6</sup>A binding sites within the CDS region of KCTD10 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;12</bold>
</xref>), which was validated by MeRIP assays (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8A</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13A</bold>
</xref>). Knockdown of m<sup>6</sup>A-related genes in A549 and LLC cells demonstrated that METTL14 knockdown significantly reduced KCTD10 expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13B</bold>
</xref>). The GEPIA database revealed lower METTL14 expression in lung cancer tissues (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13C</bold>
</xref>), and the Kaplan-Meier plotter analysis indicated that high METTL14 expression was associated with improved prognosis (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8C, D</bold>
</xref>). A positive correlation between KCTD10 and METTL14 expression was also observed (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8E</bold>
</xref>). Luciferase reporter assays confirmed that knockdown of METTL14 specifically decreased KCTD10 CDS reporter activity, but not other regions (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8F</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13D</bold>
</xref>). Next, RIP experiments showed that METTL14 can enrich RNAs corresponding to the KCTD10 CDS region (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8G</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13E</bold>
</xref>). Transcription inhibitor actinomycin D treatment revealed that METTL14 knockdown reduced KCTD10 mRNA stability (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8H</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;13F</bold>
</xref>). Furthermore, Western blots showed that knockdown of METTL14 decreased KCTD10 and E-cadherin levels while increased &#x3b2;-catenin expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8I</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;13G, H</bold>
</xref>), suggesting that METTL14 regulates the KCTD10/&#x3b2;-catenin axis.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>METTL14 and YTHDF2 mediates m<sup>6</sup>A modification of KCTD10 and enhances its mRNA stability. <bold>(A)</bold> MeRIP detecting m<sup>6</sup>A modification of KCTD10 CDS. <bold>(B)</bold> KCTD10 protein levels following m<sup>6</sup>A-related interfering RNAs. <bold>(C, D)</bold> Correlation between METTL14 expression and overall/post-progression survival in lung cancer patients using Kaplan-Meier Plotter survival analysis. <bold>(E)</bold> Correlation between METTL14 and KCTD10 expression in lung cancer using the GEPIA database. <bold>(F)</bold> Effects of METTL14 on the luciferase reporter activity of KCTD10. <bold>(G)</bold> RIP analysis detecting METTL14 binding to the predicted modification site of KCTD10. <bold>(H)</bold> qPCR analysis of KCTD10 RNA stability following METTL14 knockdown. <bold>(I)</bold> Western blot analysis of KCTD10 and related protein expression in A549 cells following METTL14 interference. <bold>(J)</bold> KCTD10 protein expression after m<sup>6</sup>A-related RNA interference. <bold>(K, L)</bold> Correlation between YTHDF2 expression and patient survival. <bold>(M)</bold> The GEPIA database analyzing the correlation between YTHDF2 and KCTD10 expression. <bold>(N)</bold> Effect of YTHDF2 knockdown on luciferase reporter activity of KCTD10. <bold>(O)</bold> RIP analysis of YTHDF2 binding to predicted modification sites of KCTD10 in A549 cells. <bold>(P)</bold> qPCR analysis of KCTD10 RNA stability following YTHDF2 knockdown. <bold>(Q)</bold> Western blot analysis of KCTD10 and downstream gene expression following YTHDF2 knockdown. *P &lt; 0.05, **P &lt; 0.01, ***P &lt; 0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1630311-g008.tif">
<alt-text content-type="machine-generated">A scientific figure presenting multiple panels of experimental data. Panel A shows a gel electrophoresis result for A549 cells. Panel B depicts a Western blot analysis for KCTD10 and Tubulin across different siRNA treatments. Panels C, D, K, and L present Kaplan-Meier survival plots for lung cancer overall and post-progression survival. Panel E and M feature scatter plots correlating METTL14 and YTHDF2 with KCTD10 expression. Panels F and N show bar graphs of relative luciferase activity. Panel G and O demonstrate RT-PCR results. Panels H and P display line graphs of KCTD10 expression over time. Panels I, J, and Q provide Western blot analyses of various proteins.</alt-text>
</graphic>
</fig>
<p>We then knocked down m<sup>6</sup>A-associated readers and found that YTHDF2 interference reduced KCTD10 expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8J</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;14A</bold>
</xref>). Although YTHDF2 expression was not significantly different between lung tumors and non-tumors (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;14B</bold>
</xref>), high YTHDF2 levels were associated with improved survival (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8K, L</bold>
</xref>) and positively correlated with KCTD10 expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8M</bold>
</xref>). Luciferase reporter assays showed knockdown of YTHDF2 reduced the KCTD10 reporter activity (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8N</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;14C</bold>
</xref>). RIP experiments demonstrated that YTHDF2 enriches the KCTD10 CDS regions (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8O</bold>
</xref>), and actinomycin D treatment indicated that silencing YTHDF2 decreased KCTD10 mRNA stability (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8P</bold>
</xref>). Western blots showed that knockdown of YTHDF2 reduced KCTD10 and E-cadherin levels while increased &#x3b2;-catenin expression (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8Q</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;14D, E</bold>
</xref>). These results suggest that the METTL14-YTHDF2 axis stabilizes KCTD10 mRNA via m<sup>6</sup>A modification, contributing to KCTD10 downregulation in lung cancer.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>KCTD10 has been reported to play different roles in several tumors (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), but its mechanism in lung cancer remains unclear. In this study, we identified low KCTD10 expression in lung cancer from the GEPIA database. IHC analysis further confirmed that KCTD10 expression negatively correlates with the pathologic stage of lung cancer. High KCTD10 expression was associated with prolonged overall and post-progression survival in lung cancer patients, indicating the potential clinical significance of KCTD10 in lung cancer diagnosis, treatment and prognosis.</p>
<p>Lung cancer metastasis, particularly to the brain, is a major therapeutic challenge (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>). EMT is a critical process in tumor progression and metastasis, characterized by reduced tumor cell viscosity and increased their motility and migration (<xref ref-type="bibr" rid="B31">31</xref>). During the EMT process, E-cadherin expression was downregulated while the expression of the stromal markers such as Vimentin, N-cadherin and &#x3b2;-catenin was increased (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Our findings demonstrated that overexpression of KCTD10 inhibits lung cancer cell growth, migration and invasion, suppresses subcutaneous tumor growth, reduces lung tumor nodule formation, and reverses EMT markers in both lung cancer cells and tissues, suggesting that KCTD10 suppresses lung cancer metastasis by regulating the EMT program. 20% to 65% of lung cancer patients develop brain metastases during the course of the disease, which is significantly higher than in other tumor types (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>). Our data further revealed that overexpression of Kctd10 effectively reduces the colonization of lung tumors in the brain and prolongs mouse survival. These finding suggest that KCTD10 is a promising therapeutic target for lung cancer metastasis.</p>
<p>Previous studies have shown that KCTD10 expression is induced by IFN&#x3b3; and IL-6 (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>), linking KCTD10 to the inflammatory response that associated with immune system recognition and activation <italic>in vivo</italic>. Through IP-MS, we identified &#x3b2;-catenin as a KCTD10-interacting protein. &#x3b2;-catenin activation promotes EMT-related protein expression and facilitates lung cancer metastasis (<xref ref-type="bibr" rid="B20">20</xref>). Mechanistically, KCTD10 promotes K48-linked ubiquitination of &#x3b2;-catenin, leading to its proteasomal degradation and the inhibition of the EMT process. EMT is also associated with upregulation of the immune checkpoint protein PD-L1 (<xref ref-type="bibr" rid="B65">65</xref>). PD-L1 is overexpressed on the surface of almost all tumor cells (<xref ref-type="bibr" rid="B66">66</xref>). PD-L1 could bind to the PD-1 receptor on the surface of T cells, inhibit T cell function, facilitating immune evasion (<xref ref-type="bibr" rid="B67">67</xref>). Since &#x3b2;-catenin enhances PD-L1 and suppresses antitumor immunity (<xref ref-type="bibr" rid="B25">25</xref>). We found that overexpression of KCTD10 reduces PD-L1 levels. Tumor infiltrating immune cells (TIICs) play a pivotal role in cancer progression, therapeutic response and overall patient prognosis, and distinct intrinsic subtypes exhibiting heterogeneous immune landscape (<xref ref-type="bibr" rid="B68">68</xref>). When combined with anti-PD-1 therapy, KCTD10 overexpression significantly inhibited metastatic lung and brain tumor colonization and led to the strongly improvement in CD8a<sup>+</sup> T cell infiltration. These results suggest that the KCTD10/&#x3b2;-catenin axis counteracts immune evasion, promotes anti-tumor immunity and improves the efficacy of anti-PD-1 therapy. However, the current study did not extensively dissect the role of KCTD10 between immune activation in specific lung cancer subtypes and immune cell subsets, including regulatory T cells (Tregs). In follow-up studies, we will employ single-cell RNA sequencing and flow cytometry to comprehensively profile immune cell composition and activation states, further enabling a deep understanding of how KCTD10 shapes the tumor immune microenvironment and influences immune responses in subtype-specific contexts.</p>
<p>Tumor angiogenesis in the tumor microenvironment, essential for tumor growth and metastasis, requires the formation of new blood vessels (<xref ref-type="bibr" rid="B69">69</xref>). Cancer-associated fibroblasts (CAFs) release stromal cell-derived factors and angiogenic factors, and promote tumor cell growth and blood vessel formation. Vascular endothelial cells mainly mediate the regeneration of tumor blood vessels (<xref ref-type="bibr" rid="B55">55</xref>). Vascular normalization, characterized by increased pericyte coverage, improves the hypoxic microenvironment and enhances transport efficiency, thereby enhancing the therapeutic efficacy (<xref ref-type="bibr" rid="B54">54</xref>). Aberrant &#x3b2;-catenin activation promotes tumor metastasis and angiogenesis (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B73">73</xref>), while &#x3b2;-catenin/TCF/LEF-dependent transcription, activated by the PI3K/AKT pathway, enhances VEGF-induced angiogenesis (<xref ref-type="bibr" rid="B74">74</xref>). In the tumor microenvironment, endothelial cells primarily regulate the new tumor angiogenesis (<xref ref-type="bibr" rid="B55">55</xref>). Our study revealed that endothelial Kctd10 knockout in mice accelerates lung cancer progression and tumor angiogenesis. Consistently, the global Kctd10 knockout displayed severe defects in mouse embryonic angiogenesis (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Kctd10 exerts the function of tissue heterogeneity in regulating angiogenesis in both normal lung tissues and the tumor microenvironment, KCTD10 could promote tumor vascular normalization, making it a potential therapeutic target. The effect of endothelial-specific Kctd10 knockout on &#x3b2;-catenin expression likely reflect a non&#x2013;cell-autonomous effect, in which the loss of Kctd10 in endothelial cells indirectly influences adjacent tumor and stromal cells through changes in the TME. Specifically, endothelial cells actively participate in cell&#x2013;cell communication through the secretion of paracrine factors such as Wnt ligands, VEGF, and various cytokines (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Loss of Kctd10 in endothelial cells may disrupt this paracrine balance or compromise vascular integrity, thereby modulating &#x3b2;-catenin signaling in neighboring cells, suggesting the importance of endothelial&#x2013;tumor cell crosstalk in mediating the systemic effects of endothelial gene perturbations.</p>
<p>The m<sup>6</sup>A methylation plays diverse roles in lung cancer by regulating different target genes (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). The m<sup>6</sup>A modification regulates sphingolipid metabolism after birth, which correlates with KCTD10 expression (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>). The m<sup>6</sup>A methyltransferase METTL14 suppresses lung cancer growth and metastasis through downregulating LINC02747 (<xref ref-type="bibr" rid="B79">79</xref>), while the m<sup>6</sup>A reader YTHDF2 is associated with better outcome in NSCLC (<xref ref-type="bibr" rid="B80">80</xref>). Although YTHDF2 generally facilitates mRNA degradation (<xref ref-type="bibr" rid="B81">81</xref>), several studies have shown that YTHDF2 can also stabilize m<sup>6</sup>A-modified mRNA (<xref ref-type="bibr" rid="B82">82</xref>&#x2013;<xref ref-type="bibr" rid="B86">86</xref>). We identified an m<sup>6</sup>A-binding site in the KCTD10 CDS region, where METTL14-YTHDF2 enhances KCTD10 mRNA stability. Both METTL14 and YTHDF2 exhibit low expression in lung cancer but are positively correlated with better patient prognosis, suggesting that impaired METTLE14-YTHDF2 activity contributes to the downregulation of KCTD10 in lung cancer.</p>
<p>In conclusion, KCTD10 suppresses lung cancer metastasis and tumor angiogenesis by interacting with &#x3b2;-catenin to promote its ubiquitin-dependent degradation, which then inhibits EMT and PD-L1 expression, leading to the improving outcome of anti-PD-1 therapy. The dual role of KCTD10 in tumor cells and the tumor microenvironment was demonstrated through lung cancer mouse models and conditional Kctd10 knockout studies. The METTL14-YTHDF2 axis enhances KCTD10 mRNA stability via m<sup>6</sup>A modification, clarifying the regulatory mechanisms of low KCTD10 expression in lung cancer. These findings establish KCTD10 as a promising target for inhibiting lung cancer metastasis and enhancing immunotherapy efficacy. Rational drug design aimed at developing specific KCTD10 activators may represent a novel and effective strategy for lung cancer treatment.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw proteomics data have been deposited and can be accessed via IPX0012893000 at <uri xlink:href="https://www.iprox.cn/">https://www.iprox.cn/</uri>. Additional data are available in the Supplementary Information.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethical Committee of Biomedical Research, Hunan Normal University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. The animal study was approved by Ethical Committee of Biomedical Research, Hunan Normal University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZY: Validation, Data curation, Writing &#x2013; review &amp; editing, Investigation, Writing &#x2013; original draft, Conceptualization, Methodology. SL: Investigation, Writing &#x2013; review &amp; editing, Validation. HZ: Writing &#x2013; review &amp; editing, Data curation, Formal analysis. MO: Writing &#x2013; review &amp; editing, Investigation. QW: Software, Writing &#x2013; review &amp; editing. JH: Formal analysis, Resources, Funding acquisition, Writing &#x2013; review &amp; editing. RS: Investigation, Writing &#x2013; review &amp; editing. ZL: Investigation, Writing &#x2013; review &amp; editing. XD: Supervision, Writing &#x2013; review &amp; editing, Resources, Data curation, Conceptualization, Writing &#x2013; original draft, Formal analysis, Project administration, Funding acquisition. SX: Resources, Funding acquisition, Writing &#x2013; review &amp; editing, Conceptualization, Project administration.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the National Key Research and Development Program of China (2022YFC2703302-2), the National Natural Science Foundation of China (No. 81770389, No. 81972642, No. 81872256), Cultivation Team Project of Institute of Interdisciplinary Studies from Hunan Normal University (2023JC203), the Natural Science Foundation of Hunan province (2022JJ40018), the open research fund of Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control (HPKL2023018), and the Planned Science and Technology Commissioner Project for Enterprises in Hunan Province (2021GK5015).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Dr. Yeqi Wang for providing some reagents and advice.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="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" sec-type="supplementary-material">
<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/fimmu.2025.1630311/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1630311/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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<surname>Huang</surname> <given-names>K</given-names>
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<surname>Yu</surname> <given-names>Z</given-names>
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</ref-list>
<glossary>
<title>Glossary</title>
<def-list>
<def-item>
<term>AKT</term>
<def>
<p>AKT serine/threonine kinase 1</p>
</def>
</def-item>
<def-item>
<term>&#x3b1;-sma</term>
<def>
<p>&#x3b1;-smooth muscle actin</p>
</def>
</def-item>
<def-item>
<term>&#x3b2;-catenin</term>
<def>
<p>cadherin-associated protein, beta 1</p>
</def>
</def-item>
<def-item>
<term>CBP</term>
<def>
<p>CREB-binding protein</p>
</def>
</def-item>
<def-item>
<term>CD31</term>
<def>
<p>platelet and endothelial cell adhesion molecule 1</p>
</def>
</def-item>
<def-item>
<term>CD8</term>
<def>
<p>CD8 subunit alpha</p>
</def>
</def-item>
<def-item>
<term>CDS</term>
<def>
<p>coding sequence</p>
</def>
</def-item>
<def-item>
<term>CHX</term>
<def>
<p>cycloheximide</p>
</def>
</def-item>
<def-item>
<term>c-Myc</term>
<def>
<p>cellular myelocytomatosis oncogene</p>
</def>
</def-item>
<def-item>
<term>co-IP</term>
<def>
<p>co-immunoprecipitation</p>
</def>
</def-item>
<def-item>
<term>Cre</term>
<def>
<p>cyclization recombination enzyme</p>
</def>
</def-item>
<def-item>
<term>DAB</term>
<def>
<p>diaminobenzidine</p>
</def>
</def-item>
<def-item>
<term>DMEM</term>
<def>
<p>dulbecco&#x2019;s modified eagle medium</p>
</def>
</def-item>
<def-item>
<term>E-cadherin</term>
<def>
<p>epithelial cadherin</p>
</def>
</def-item>
<def-item>
<term>EMT</term>
<def>
<p>epithelial-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term>EGF</term>
<def>
<p>epidermal growth factor</p>
</def>
</def-item>
<def-item>
<term>FFPE</term>
<def>
<p>formalin fixed paraffin embedded</p>
</def>
</def-item>
<def-item>
<term>GEPIA</term>
<def>
<p>Gene Expression Profiling Interactive Analysis</p>
</def>
</def-item>
<def-item>
<term>GIST</term>
<def>
<p>gastrointestinal-stromal-tumor</p>
</def>
</def-item>
<def-item>
<term>GO</term>
<def>
<p>gene ontology</p>
</def>
</def-item>
<def-item>
<term>HCC</term>
<def>
<p>hepatocellular carcinoma</p>
</def>
</def-item>
<def-item>
<term>HE</term>
<def>
<p>hematoxylin-eosin staining</p>
</def>
</def-item>
<def-item>
<term>HER2</term>
<def>
<p>human epidermal growth factor receptor 2</p>
</def>
</def-item>
<def-item>
<term>HR</term>
<def>
<p>hazard ratio</p>
</def>
</def-item>
<def-item>
<term>IgG</term>
<def>
<p>immunoglobulin G</p>
</def>
</def-item>
<def-item>
<term>IHC</term>
<def>
<p>immunohistochemistry</p>
</def>
</def-item>
<def-item>
<term>IP-MS</term>
<def>
<p>immunoprecipitation-mass spectrometry</p>
</def>
</def-item>
<def-item>
<term>KCTD10</term>
<def>
<p>potassiumchanneltetramerisationdomain-containing10</p>
</def>
</def-item>
<def-item>
<term>KEGG</term>
<def>
<p>Kyoto encyclopedia of genes and genomes</p>
</def>
</def-item>
<def-item>
<term>LUAD</term>
<def>
<p>lung adenocarcinoma</p>
</def>
</def-item>
<def-item>
<term>LUSC</term>
<def>
<p>lung squamous cell carcinoma</p>
</def>
</def-item>
<def-item>
<term>M2</term>
<def>
<p>alternatively activated macrophages</p>
</def>
</def-item>
<def-item>
<term>m6A</term>
<def>
<p>n6-methyladenosine</p>
</def>
</def-item>
<def-item>
<term>Me-rip</term>
<def>
<p>methylated RNA immunoprecipitation</p>
</def>
</def-item>
<def-item>
<term>METTL14</term>
<def>
<p>methyltransferase like 14</p>
</def>
</def-item>
<def-item>
<term>MOI</term>
<def>
<p>multiplicity of infection</p>
</def>
</def-item>
<def-item>
<term>mRNA</term>
<def>
<p>messenger ribonucleic acid</p>
</def>
</def-item>
<def-item>
<term>NC</term>
<def>
<p>negative control</p>
</def>
</def-item>
<def-item>
<term>N-cadherin</term>
<def>
<p>neural cadherin</p>
</def>
</def-item>
<def-item>
<term>OS</term>
<def>
<p>overall survival</p>
</def>
</def-item>
<def-item>
<term>P53</term>
<def>
<p>tumor suppressor protein, oncogene protein</p>
</def>
</def-item>
<def-item>
<term>PCNA</term>
<def>
<p>proliferating cell nuclear antigen</p>
</def>
</def-item>
<def-item>
<term>PCR</term>
<def>
<p>polymerase chain reaction</p>
</def>
</def-item>
<def-item>
<term>PD-1</term>
<def>
<p>programmed cell death protein 1</p>
</def>
</def-item>
<def-item>
<term>PDIP1</term>
<def>
<p>polymerasedelta-interactingprotein1</p>
</def>
</def-item>
<def-item>
<term>PD-L1</term>
<def>
<p>programmed cell death-ligand 1</p>
</def>
</def-item>
<def-item>
<term>PPS</term>
<def>
<p>post progression survival</p>
</def>
</def-item>
<def-item>
<term>PVDF</term>
<def>
<p>polyvinylidene fluoride</p>
</def>
</def-item>
<def-item>
<term>rac1</term>
<def>
<p>ras related C3 botulinum toxin substrate 1</p>
</def>
</def-item>
<def-item>
<term>RT-qPCR</term>
<def>
<p>reverse transcription-quantitative PCR</p>
</def>
</def-item>
<def-item>
<term>SDF-1</term>
<def>
<p>stromal cell derived factor 1</p>
</def>
</def-item>
<def-item>
<term>SDS</term>
<def>
<p>sodium dodecyl sulfate</p>
</def>
</def-item>
<def-item>
<term>SiRNA</term>
<def>
<p>small interfering RNA</p>
</def>
</def-item>
<def-item>
<term>SOE-PCR</term>
<def>
<p>splicing overlapping extension PCR</p>
</def>
</def-item>
<def-item>
<term>SPF</term>
<def>
<p>specific pathogen free</p>
</def>
</def-item>
<def-item>
<term>SRAMP</term>
<def>
<p>sequence-based RNA adenosine methylation site predictor</p>
</def>
</def-item>
<def-item>
<term>STAT3</term>
<def>
<p>signal transducer and activator of transcription 3</p>
</def>
</def-item>
<def-item>
<term>TCF/LEF</term>
<def>
<p>transcription factor/lymphoid enhancer-binding factor</p>
</def>
</def-item>
<def-item>
<term>VEGF</term>
<def>
<p>vascular endothelial growth factor</p>
</def>
</def-item>
<def-item>
<term>YTHDF2</term>
<def>
<p>YTH domain-containing family protein 2</p>
</def>
</def-item>
<def-item>
<term>ZEB1</term>
<def>
<p>zinc finger E-box binding homeobox 1.</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>