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<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
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<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
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<issn pub-type="epub">2296-634X</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1756565</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2026.1756565</article-id>
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<subject>Original Research</subject>
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<title-group>
<article-title>Pharmacological inhibition of frizzled 4 delays cell cycle progression and limits oral squamous cell carcinoma growth</article-title>
<alt-title alt-title-type="left-running-head">Destefani et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2026.1756565">10.3389/fcell.2026.1756565</ext-link>
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<name>
<surname>Destefani</surname>
<given-names>Riccardo</given-names>
</name>
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<sup>&#x2020;</sup>
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<surname>Valookkaran</surname>
<given-names>Ilaria J.</given-names>
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<sup>&#x2020;</sup>
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<surname>Bensland</surname>
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<surname>Meisel</surname>
<given-names>Christian T.</given-names>
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<surname>Porcheri</surname>
<given-names>Cristina</given-names>
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<aff id="aff1">
<institution>Institute of Oral Biology, Faculty of Medicine, University of Zurich</institution>, <city>Zurich</city>, <country country="CH">Switzerland</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Cristina Porcheri, <email xlink:href="mailto:cristina.porcheri@zzm.uzh.ch">cristina.porcheri@zzm.uzh.ch</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-17">
<day>17</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1756565</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>01</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Destefani, Valookkaran, Bensland, Meisel and Porcheri.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Destefani, Valookkaran, Bensland, Meisel and Porcheri</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-17">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Oral squamous cell carcinoma is an aggressive malignancy driven by aberrant signaling pathways, with Wnt signaling acting as a central regulator of proliferation, tumor-microenvironment interactions, and oncogenic growth. Here, we focus on Frizzled-4, a Wnt receptor with context-dependent functions in epithelial cancers. We show that pharmacological inhibition of Frizzled-4 delays cell cycle progression, and reduces proliferative capacity. These effects are accompanied by suppressed metabolism of retinoic acid, suggesting that Frizzled-4 inhibition stabilizes intracellular retinoic acid levels, which ultimately contributes to the observed cell cycle slowdown. Blocking retinoic acid signaling reverses the cell cycle effects of Frizzled-4 inhibition, confirming that retinoic acid-dependent regulation operates downstream of Frizzled-4. By restraining uncontrolled proliferation and attenuating oncogenic signaling, Frizzled-4 emerges as a key molecular node in oral squamous cell carcinoma, highlighting its potential as a therapeutic target to counteract Wnt-driven tumor growth.</p>
</abstract>
<kwd-group>
<kwd>FZD4</kwd>
<kwd>FzM1</kwd>
<kwd>oral squamous cell carcinoma</kwd>
<kwd>retinoic acid</kwd>
<kwd>Wnt pathway</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Olga Mayenfisch Stiftung</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100012654</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Julius M&#xfc;ller Stiftung</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100008479</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs3">
<funding-source id="sp3">
<institution-wrap>
<institution>Krebsliga Schweiz</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100004361</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs4">
<funding-source id="sp4">
<institution-wrap>
<institution>Julius Klaus-Stiftung f&#xfc;r Genetik und Sozialanthropologie</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100010775</institution-id>
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<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. CP is a recipient of the Olga Mayenfisch Stiftung, Julius Klaus-Stiftung and Stiftung Julius M&#xfc;ller zur Unterst&#xfc;tzung der Krebsforschung. RD and IV were supported by the Krebsliga grant KFS-4890-08-2019-R.</funding-statement>
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<counts>
<fig-count count="5"/>
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<ref-count count="69"/>
<page-count count="13"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Cell Biology</meta-value>
</custom-meta>
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</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<p>Oral squamous cell carcinoma (OSCC) is the most prevalent oral malignancy, accounting for over 90% of cancers of the oral cavity. It remains associated with poor prognosis and high mortality despite advances in diagnosis and treatment (<xref ref-type="bibr" rid="B26">Johnson et al., 2020</xref>; <xref ref-type="bibr" rid="B16">Ferlay et al., 2019</xref>; <xref ref-type="bibr" rid="B6">Bray et al., 2018</xref>). Traditionally linked to tobacco use, alcohol consumption, and human papillomavirus (HPV) infection, OSCC is now recognized as a multistep disease driven by the dysregulation of interconnected signaling networks governing proliferation, survival, and tumor-microenvironment interactions (<xref ref-type="bibr" rid="B12">Cramer et al., 2019</xref>). At the molecular level, OSCC progression reflects the convergence of oncogene activation, tumor suppressor loss, epigenetic alterations, and aberrant receptor-mediated signaling. Dysregulation of proliferative pathways, particularly the epidermal growth factor receptor (EGFR)/mitogen-activated protein kinase (MAPK) cascade, amplifies growth and survival signals, promotes metabolic reprogramming, and contributes to therapeutic resistance (<xref ref-type="bibr" rid="B23">Horn et al., 2015</xref>; <xref ref-type="bibr" rid="B10">Cheng et al., 2022</xref>), while crosstalk with inflammatory mediators such as Nuclear Factor kappa B (NF-&#x3ba;B) and altered apoptotic regulators further drives tumor progression (<xref ref-type="bibr" rid="B33">Li et al., 2019</xref>). Frequent mutations in tumor suppressors, most notably TP53, compromise DNA damage checkpoints and genomic stability, while disruption of the retinoblastoma (Rb) pathway through cyclin-dependent kinase (CDKs) hyperactivation leads to inappropriate release of Early 2 Factor (E2F) transcription factors, driving premature S-phase entry and uncontrolled cell-cycle progression (<xref ref-type="bibr" rid="B26">Johnson et al., 2020</xref>; <xref ref-type="bibr" rid="B56">Stransky et al., 2011</xref>; <xref ref-type="bibr" rid="B54">Sequeira et al., 2020</xref>; <xref ref-type="bibr" rid="B63">Yoo et al., 1994</xref>; <xref ref-type="bibr" rid="B45">Pande et al., 1998</xref>; <xref ref-type="bibr" rid="B43">Nakahara et al., 2000</xref>). Emerging evidence highlights epigenetic mechanisms and non-coding RNAs as critical modulators of oncogenic signaling, collectively establishing a permissive environment for sustained proliferation and impaired growth control (<xref ref-type="bibr" rid="B28">Kalantary-Charvadeh et al., 2024</xref>; <xref ref-type="bibr" rid="B27">Kabzinski et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Kumar et al., 2024</xref>).</p>
<p>Notably, many of these regulatory mechanisms converge on the Wingless and Int-1 (Wnt) signaling network, a central hub for cellular proliferation, differentiation, and homeostatic control (<xref ref-type="bibr" rid="B65">Yuan et al., 2019</xref>). Dysregulated Wnt activity, whether through direct mutations, aberrant expression or secondary modulation, has emerged as a critical driver of tumor initiation and maintenance in OSCC (<xref ref-type="bibr" rid="B24">Ishida et al., 2007</xref>; <xref ref-type="bibr" rid="B32">Laxmidevi et al., 2010</xref>; <xref ref-type="bibr" rid="B41">Moles et al., 2016</xref>; <xref ref-type="bibr" rid="B60">Xie et al., 2020</xref>).</p>
<p>Wnt signaling is a highly conserved molecular cascade that regulates fundamental cellular processes including fate determination, proliferation, migration, and polarity during embryonic development and tissue homeostasis (<xref ref-type="bibr" rid="B11">Clevers and Nusse, 2012</xref>; <xref ref-type="bibr" rid="B37">Logan and Nusse, 2004</xref>). In the canonical Wnt pathway, Wnt ligands bind to Frizzled (FZD) receptors and co-receptors low-density lipoprotein receptor-related proteins 5 and 6 (LRP5/6), leading to inhibition of the &#x3b2;-catenin destruction complex. Stabilized &#x3b2;-catenin accumulates in the cytoplasm and subsequently translocates into the nucleus, where it interacts with transcription factors to activate target genes controlling growth and differentiation. In mammals, ten distinct FZD receptors have been identified, each contributing to Wnt-mediated regulation in a tissue-specific manner. Among them, Frizzled-4 (FZD4) regulates vascular integrity, neural development, and tissue homeostasis through &#x3b2;-catenin&#x2013;dependent signaling. Its activity ensures controlled proliferation and differentiation, whereas its dysregulation leads to developmental disorders and tumorigenesis in a context-dependent manner (<xref ref-type="bibr" rid="B61">Yang S. et al., 2018</xref>; <xref ref-type="bibr" rid="B55">Sompel et al., 2021</xref>). In non-small cell lung carcinoma, colon cancer, prostate cancer, and hematologic malignancies, FZD4 has been characterized as a pro-oncogenic driver, enhancing epithelial-to-mesenchymal transition (EMT) and promoting cell survival through activation of the canonical Wnt/&#x3b2;-catenin pathway (<xref ref-type="bibr" rid="B18">Freeman, 2008</xref>; <xref ref-type="bibr" rid="B17">Formosa et al., 2014</xref>; <xref ref-type="bibr" rid="B47">Pu et al., 2013</xref>; <xref ref-type="bibr" rid="B3">Bassett et al., 2016</xref>; <xref ref-type="bibr" rid="B58">Tickenbrock et al., 2008</xref>; <xref ref-type="bibr" rid="B20">Gupta et al., 2010</xref>). Conversely, in cutaneous squamous cell carcinoma, FZD4 expression is downregulated, and experimental overexpression inhibits proliferation and induces apoptosis, suggesting a tumor suppressor function in this context (<xref ref-type="bibr" rid="B67">Zhang et al., 2021</xref>).</p>
<p>FZD4 is frequently overexpressed in OSCC, although its specific mechanistic role in tumor development and progression remains to be fully elucidated (<xref ref-type="bibr" rid="B38">Lu and Xie, 2023</xref>). To explore the therapeutic potential of this receptor as a pharmacological target, we investigated the effects of FZD4 inhibition in OSCC. Using next-generation sequencing assays combined with molecular and kinetic analyses, we found that blocking FZD4 delayed cellular proliferation through a retinoic acid (RA)-dependent regulation. Together, our findings establish FZD4 as a clinically relevant target in OSCC and highlight the central role of the Wnt-retinoic acid axis in regulating malignant tumor growth.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2-1">
<label>2.1</label>
<title>Animal work</title>
<p>C57Bl/6 mice were handled according to Swiss Animal Welfare regulations. The study was approved by the Cantonal Veterinary Office in Zurich (licenses ZH197/2017 and ZH086/2021). To induce OSCC, mice were given drinking water containing 50&#xa0;&#x3bc;g/mL 4-nitroquinoline 1-oxide (4NQO; &#x23;N8141, Sigma-Aldrich) from 6 to 22 weeks of age. Control mice received water with the same amount of Dimethyl sulfoxide (DMSO) (&#x23;D4540, Sigma-Aldrich). After 16&#xa0;weeks of treatment, mice continued on normal water until euthanasia (32&#xa0;weeks).</p>
</sec>
<sec id="s2-2">
<label>2.2</label>
<title>Immunostaining</title>
<p>After tissue collection, samples were fixed in 4% paraformaldehyde (PFA) for 1&#xa0;h at 4&#xa0;&#xb0;C, then cryoprotected in 30% sucrose. The tissues were embedded in cryo-embedding medium (Tissue-Tek O.C.T. Compound, Sakura) and stored at &#x2212;80&#xa0;&#xb0;C until further processing. Sections of 10&#xa0;&#xb5;m thickness were cut using a cryostat (Leica CM3050S) and kept at &#x2212;80&#xa0;&#xb0;C until staining.</p>
<p>For immunofluorescence analysis, cryosections were first permeabilized with 0.5% Triton X-100 in Phosphate-buffered saline (PBS) for 1&#xa0;h at room temperature, followed by blocking in a solution containing 10% fetal bovine serum (FBS) and 0.1% Triton X-100. Sections were then incubated overnight at 4&#xa0;&#xb0;C with the primary antibody anti-FZD4 (&#x23;SAB2108140, Sigma-Aldrich; 1:200) diluted in blocking buffer. After washing with PBS, sections were incubated with the secondary antibody donkey anti-rabbit IgG Alexa Fluor 488 (1:1000; Invitrogen). Nuclei were counterstained with DAPI (4&#x2032;,6-diamidino-2-phenylindole dihydrochloride; &#x23;D1306, Invitrogen). Finally, slides were mounted using Mowiol 4&#x2013;88 (&#x23;81381 and &#x23;G-6279, Sigma-Aldrich). Fluorescent images were acquired using a Leica DM6000B fluorescence microscope.</p>
</sec>
<sec id="s2-3">
<label>2.3</label>
<title>Cell culture</title>
<p>The SCC-25 epithelial cell line, originating from the tongue of a 70-year-old OSCC patient, was obtained from ATCC/LGC (American Type Culture Collection, SCC-25CRL-1628&#x2122;). SCC25 were maintained in Dulbecco&#x2019;s Modified Eagle Medium: Nutrient Mixture F-12 (DMEM/F12) medium supplemented with 1.2&#xa0;g/L sodium bicarbonate, 2.5&#xa0;mM L-glutamine, 15&#xa0;mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES), 0.5&#xa0;mM sodium pyruvate (&#x23;11330032, Gibco-ThermoFisher), and 10% FBS (&#x23;16000044, Gibco-ThermoFisher). Once cultures reached &#x223c;80% confluence, cells were passaged using trypsin/Ethylenediaminetetraacetic acid (EDTA) (&#x23;15400054, Gibco-ThermoFisher) and cryopreserved at a density of 10<sup>6</sup> cells/vial in 10% DMSO (&#x23;D4540, Sigma-Aldrich). For experimental treatments, low passage (&#x3c;20 passages) SCC-25 cells were exposed to 3-Hydroxy-5-[[(2-Naphthalenylamino)carbonyl]amino]benzoic acid (FzM1) (10&#xb5;M; &#x23; HY-116553, MedChemExp), FzM1&#x2b; Retinoic acid receptor inhibitor (RARi) (AGN 193109 100nM; &#x23;HY-U00449, MedChemExp) or vehicle control DMSO (&#x23;D8418, Sigma-Aldrich) for 5&#xa0;days.</p>
</sec>
<sec id="s2-4">
<label>2.4</label>
<title>Cell immunofluorescence</title>
<p>SCC-25 cells were seeded at a density of 20,000 cells per well in a 12-well plate with coverslips (Electron Microscopy Sciences &#x23;72196). Fixation was carried out with 4% PFA or cold 100% MetOH for 15&#xa0;min followed by PBS washes. Cells were then permeabilized for 30&#xa0;min with 0.5% Triton and subsequently blocked in PBS containing 10% FBS and 0.1% Triton for 1h RT. Primary antibodies were diluted in blocking solution and incubated overnight. For immunofluorescence, cells were probed with anti-FZD4 (&#x23;SAB2108140; Sigma-Aldrich, 1:100), anti-phospho Histone3 (pH3) (&#x23;9701, Cell Signaling, 1:300); anti-Ki67 (&#x23;ab16667, abcam, 1:100) and detected with donkey anti-rabbit IgG Alexa Fluor 488 or 546 (1:1000; Invitrogen). Nuclear staining was performed using DAPI (4&#x2032;,6-diamidino-2-phenylindole, dihydrochloride; &#x23;D1306, Invitrogen). Samples were mounted using Mowiol 4&#x2013;88 and glycerol (&#x23;81381 and &#x23;G-6279, Sigma-Aldrich). Immunofluorescence images were produced using a Leica DM6000B microscope. Quantifications were performed in five different fields of view for each sample (n &#x3d; 3).</p>
</sec>
<sec id="s2-5">
<label>2.5</label>
<title>Kinetic study</title>
<p>To calculate the growth fraction upon treatment, SCC25 cells were plated on coverslips and treated with DMSO (control), FzM1 (treated) or FzM1&#x2b;RARi (treated) for 5 days before kinetic analyses. Cells were exposed to 10&#xa0;&#x3bc;M 5-Ethynyl-2&#x2032;-deoxyuridine (EdU, MedChemExp, &#x23; HY-118411) for 1h, 4h, 8h, 10h, 12h, 14h, 16h, 20h, 24h, 38h, and 60&#xa0;h. After incubation time, cells were fixed in 4% PFA and stained for EdU using the VF 488 Click-iT EdU Universal Cell Proliferation Detection Kit (MedChemExp). Nuclear staining was performed using DAPI (4&#x2032;,6-diamidino-2-phenylindole, dihydrochloride; &#x23;D1306, Invitrogen). Samples were mounted using Mowiol 4&#x2013;88 and glycerol (&#x23;81381 and &#x23;G-6279, Sigma-Aldrich). Immunofluorescence images were produced using a Leica DM6000B microscope. Quantifications were performed in five different fields of view for each sample (n &#x3d; 3). Calculation of cell cycle length (Tc) and S-phase length (Ts) were extrapolated from the function obtained graphically of the growing phase (<xref ref-type="bibr" rid="B44">Nowakowski et al., 1989</xref>). Quantification was carried out using ImageJ and FIJI software (<xref ref-type="bibr" rid="B52">Schindelin et al., 2012</xref>; <xref ref-type="bibr" rid="B53">Schneider et al., 2012</xref>). Graphs and statistical analyses were performed using Prism software (GraphPad, GraphPad Software, San Diego California USA; <ext-link ext-link-type="uri" xlink:href="http://www.graphpad.com/">http://www.graphpad.com/</ext-link>). All data were analyzed using the two-tailed Student&#x27;s t-test. P &#x3c; 0.05 were considered statistically significant.</p>
</sec>
<sec id="s2-6">
<label>2.6</label>
<title>Western blot</title>
<p>Treated SCC-25 cells were harvested in Radioimmunoprecipitation assay (RIPA) buffer (&#x23;9806; Cell Signaling) supplemented with protease inhibitors (&#x23;11836170001; Roche) and homogenized following scraping. Proteins were precipitated by adding cold acetone to the lysates and incubating for 1&#xa0;h at &#x2212;20&#xa0;&#xb0;C. The samples were then centrifuged at 15,000&#xa0;rpm for 10 min, and the resulting protein pellets were resuspended in a buffer mixture containing RIPA buffer, Laemmli Buffer (LB, &#x23;1610747, Bio-Rad), and dithiothreitol (DTT, &#x23;7016, Cell Signaling). For Sodium Dodecyl Sulfate-PolyAcrylamide Gel Electrophoresis (SDS-PAGE), 20 ug of protein lysate was loaded per lane and separated on 6%&#x2013;10% Mini-PROTEAN TGX Gels using the Mini-PROTEAN system (&#x23;1658005, Bio-Rad) under 70&#xa0;V constant voltage. Protein transfer was carried out with the Trans-Blot Turbo system (&#x23;1704150, Bio-Rad) using Trans-Blot Turbo Mini 0.2&#xa0;&#xb5;m Nitrocellulose Transfer Packs (&#x23;1704158, Bio-Rad), following the standard Turbo protocol for 30&#xa0;min. Blocking of the membrane was performed in 5% non-fat dry milk in Tris-Buffered Saline (TBS) or 1% Bovine Serum Albumin (BSA) in TBS for 1h at room temperature. Primary antibody used were incubated overnight at 4&#xa0;&#xb0;C in a shaking condition. Antibodies used were: a- glyceraldehyde-3-phosphate dehydrogenase (GAPDH)- Horseradish Peroxidase (HRP) conjugated (Clone YA874, MEC, &#x23;HY-P80951A; 1:1000); a-Keratin10 (Krt10) (Covance, 1:1000). Membrane was washed in TBS-Tween&#xae; 20 (TBS-T, Tween20 &#x23;P9416; Sigma-Aldrich) and TBS for 1h at RT in shaking conditions. Species-specific secondary antibodies a-rb HRP conjugated (Abcam, &#x23;ab97051, 1:1000) were used.</p>
</sec>
<sec id="s2-7">
<label>2.7</label>
<title>RNA isolation</title>
<p>Treated SCC-25 cells were pelleted and snap-frozen in liquid nitrogen prior to RNA isolation following the manufacturer&#x2019;s protocol (RNeasy Mini Kit; Qiagen). Genomic DNA was removed via gDNA removal columns and further purified. Total RNA yield was quantified using a NanoDrop spectrophotometer (Thermo Fisher Scientific, Waltham, USA). For cDNA synthesis, 500&#xa0;ng of RNA was reverse transcribed with the iScript&#x2122; cDNA Synthesis Kit (Bio-Rad Laboratories AG, Cressier FR, Switzerland) according to the supplier&#x2019;s instructions.</p>
</sec>
<sec id="s2-8">
<label>2.8</label>
<title>Quantitative real-time PCR</title>
<p>Quantitative real-time PCR was conducted on the CFX Connect Real-Time System using CFX Manager software (Version 3.1). Gene expression analyses were carried out with SYBR&#xae; Green PCR Master Mix (Applied Biosystems, Carlsbad, CA, USA) together with the corresponding oligonucleotide primers (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>). Exon-exon primers were designed using Primer3 software (<xref ref-type="bibr" rid="B30">K&#xf5;ressaar et al., 2018</xref>). Hairpin, hetero-dimers and self-dimers formation was excluded (tollerance DeltaG &#x3e;&#x3d;-9&#xa0;kcal/mol). Each reaction was run in technical duplicates across four biological replicates. Thermocycling conditions were as follows: initial denaturation at 95&#xa0;&#xb0;C for 10&#xa0;min; 40 cycles of 95&#xa0;&#xb0;C for 15&#xa0;s and 60&#xa0;&#xb0;C for 60&#xa0;s. Melting curve analysis was performed under the following parameters: 95&#xa0;&#xb0;C for 15&#xa0;s, 60&#xa0;&#xb0;C for 5&#xa0;s, and 95&#xa0;&#xb0;C for 30&#xa0;s. Relative expression levels were determined using the &#x394;&#x394;Ct method (2<sup>&#x2212;&#x394;&#x394;CT</sup>) after normalization to the Ct values of the housekeeping gene. Graphs and statistical analyses were performed using Prism10 software (GraphPad, GraphPad Software, San Diego California USA; <ext-link ext-link-type="uri" xlink:href="http://www.graphpad.com/">http://www.graphpad.com/</ext-link>). All data were considered statistically significant when p &#x3c; 0.05.</p>
</sec>
<sec id="s2-9">
<label>2.9</label>
<title>Transcriptomic analysis</title>
<p>Bulk RNA sequencing was performed as follows: Total RNA was isolated using the Qiagen RNeasy Mini Kit (Qiagen, &#x23;74104) with on-column genomic DNA elimination using RNase-Free DNase I (Qiagen, &#x23;79256), according to the manufacturer&#x2019;s instructions. RNA quality was assessed prior to library preparation, and only samples with RNA integrity (RINe) scores &#x3e;9.2 were used for downstream processing. High-quality RNA was reverse-transcribed into cDNA, followed by fragmentation and adapter ligation. Sequencing libraries were prepared using the Illumina TruSeq protocol and sequenced on an Illumina NovaSeq 6000 platform (200 million reads per sample). Raw sequencing data were quality-checked using FastQC and aligned to the reference genome with STAR. Gene expression levels were quantified by counting aligned reads with Kallisto and normalized as fragments per kilobase of transcript per million mapped reads (FPKM). Differentially Expressed Genes (DEG) were obtained from the statistical packages DEseq2 output (p.adj &#x3c;&#x3d; 0.01) (<xref ref-type="sec" rid="s12">Supplementary Method 1</xref>). We determine pathway enrichment using the ReactomeGSA Bioconductor R package for pathway-based analysis (<xref ref-type="bibr" rid="B25">Johannes Griss, 2025</xref>) GSEA 4.0.3 (<ext-link ext-link-type="uri" xlink:href="https://www.gsea-msigdb.org/gsea/index.jsp">https://www.gsea-msigdb.org/gsea/index.jsp</ext-link>), Enrichr and Appyters (<ext-link ext-link-type="uri" xlink:href="https://maayanlab.cloud/Enrichr/">https://maayanlab.cloud/Enrichr/</ext-link>).</p>
</sec>
<sec id="s2-10">
<label>2.10</label>
<title>Data availability statement</title>
<p>The datasets generated for this study can be found in the BioProject PRJNA1355448 <ext-link ext-link-type="uri" xlink:href="https://dataview.ncbi.nlm.nih.gov/object/PRJNA1355448?reviewer=3ct113p5bca2ami318gd1hpel9">https://dataview.ncbi.nlm.nih.gov/object/PRJNA1355448?reviewer&#x3d;3ct113p5bca2ami318gd1hpel9</ext-link>.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec id="s3-1">
<label>3.1</label>
<title>FZD4 is expressed in murine and human OSCC models</title>
<p>To elucidate the potential contribution of FZD4 to Wnt signaling activity in the context of OSCC, its expression was investigated <italic>in vivo</italic> using a 4NQO&#x2013;induced murine model of OSCC (<xref ref-type="bibr" rid="B51">Sagheer et al., 2021</xref>). The carcinogen 4NQO was administered through the drinking water for 16 weeks, followed by a 10-week washout phase (<xref ref-type="fig" rid="F1">Figure 1A</xref>). This protocol reliably induced malignant transformation with uniform penetrance, resulting in exophytic lesions on the dorsal surface of the tongue. In contrast, DMSO-treated control animals do not exhibit any local or systemic pathological manifestations. Following tissue collection, the tongues were embedded and cryosectioned for analysis. In control specimens, fluorescent immunolabelling revealed FZD4 expression restricted to the basal layer of the tongue epithelium (<xref ref-type="fig" rid="F1">Figure 1B</xref>), with positive signal on both dorsal and ventral surfaces (<xref ref-type="fig" rid="F1">Figures 1B,a,c</xref>). Positive staining was also detected in the fungiform papillae containing taste buds (<xref ref-type="fig" rid="F1">Figures 1B,b</xref>). In 4NQO-treated mice, FZD4 immunoreactivity persisted within the dysplastic epithelium of the lesions, showing a clustered distribution pattern (<xref ref-type="fig" rid="F1">Figure 1C</xref>, overview and magnifications).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The WNT receptor FZD4 is expressed in murine and human models of OSCC. <bold>(A)</bold> Schematic representation of OSCC induction via 4NQO administration. Mice received 4NQO in drinking water for 16 weeks, followed by a 10-week washout period. <bold>(B)</bold> FZD4 expression in tissue cryosections from control mice. FZD4 immunofluorescence (green) is localized predominantly to the basal layer of the stratified epithelium in <bold>(a)</bold> the dorsal tongue, <bold>(b)</bold> fungiform papillae, and <bold>(c)</bold> the ventral tongue of DMSO-treated animals. Nuclei are counterstained with DAPI (blue). Scale bar, 30&#xa0;&#xb5;m. <bold>(C)</bold> FZD4 expression in tissue cryosections from 4NQO-treated mice. FZD4 immunoreactivity (green) is detected in clustered cells within the OSCC mass. Left panel: overview of carcinogenic lesion (dashed lines); right panels (a&#x2019;, b&#x2019;): higher magnifications of the corresponding areas in the overview. Nuclei are counterstained with DAPI (blue). Scale bars: overview, 100&#xa0;&#x3bc;m; magnifications, 30&#xa0;&#xb5;m. <bold>(D)</bold> Human <italic>in vitro</italic> OSCC model showing positive FZD4 staining. Left panel: merged image of FZD4 (red) and nuclear DAPI counterstain (blue); right panel: single-channel FZD4 signal. Scale bar, 10&#xa0;&#xb5;m.</p>
</caption>
<graphic xlink:href="fcell-14-1756565-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a timeline diagram of a mouse oral squamous cell carcinoma (mOSCC) experiment using 4NQO/DMSO, including treatment and tissue collection periods. Panel B presents three immunofluorescence images of DMSO-treated mouse oral tissue labeled for FZD4 (green) and nuclei (DAPI, blue). Panel C shows a overview of immunofluorescence image of 4NQO-treated mouse oral tissue with outlined areas and two magnified insets labeled a&#x2019; and b&#x2019;, highlighting FZD4 and DAPI staining. Panel D features a schematic for human OSCC (hOSCC) SCC25 cells and two microscopy images: one with FZD4 (red) and DAPI (blue) staining, and a grayscale image for FZD4 only.</alt-text>
</graphic>
</fig>
<p>To extend these findings to a human model, we analyzed SCC25 cells derived from the tongue of a 70-year-old male patient with squamous cell carcinoma (ATCC &#x23;CRL-1628) (<xref ref-type="bibr" rid="B48">Rheinwald and Beckett, 1981</xref>). Immunofluorescence confirmed FZD4 expression, displaying a membrane-associated, reticular pattern on the cell surface.</p>
</sec>
<sec id="s3-2">
<label>3.2</label>
<title>Blockade of FZD4 induces a distinct change in transcriptomic signature</title>
<p>To assess the functional relevance of FZD4 in OSCC, we utilized FzM1, a negative allosteric modulator of FZD4 specifically inhibiting the FZD4-WNT signaling axis in a non-competitive manner (<xref ref-type="bibr" rid="B19">Generoso et al., 2015</xref>). SCC25 cells were treated with DMSO (control group) or FzM1 (treated group), and total RNA was subsequently extracted for downstream analyses. A transcriptomic library was generated for bulk RNA sequencing, revealing 834 differentially expressed genes (<xref ref-type="sec" rid="s12">Supplementary Method 1</xref>).</p>
<p>The top 194 significant genes are visualized in the heatmap (<xref ref-type="fig" rid="F2">Figure 2A</xref>). Pathway enrichment analysis using <italic>Enrichr</italic> Reactome Pathways and Kinase Enrichment Analysis (KEA) databases showed that most differentially expressed genes are associated with regulation of proliferation and cell cycle progression (<xref ref-type="fig" rid="F2">Figures 2B,C</xref>). Gene Ontology (GO) analysis of biological processes further confirmed that the majority of affected categories relate to regulation of cellular kinetic, highlighting the transcriptional impact of FzM1 treatment on SCC25 proliferation (<xref ref-type="fig" rid="F2">Figure 2D</xref>). Gene Set Enrichment Analysis (GSEA) consistently supported this observation, revealing altered expression of genes involved in the regulation of cell cycle progression (<xref ref-type="fig" rid="F2">Figure 2E</xref>). To characterize these changes in greater detail, we analyzed the expression of individual transcripts by RT-PCR. Cyclin-dependent kinase 1 (CDK1) expression was markedly reduced upon FzM1 treatment, whereas other CDKs, such as Cyclin-dependent kinase 2 (CDK2), appeared mostly unchanged. Among the differentially expressed cyclins, FzM1 treatment led to decreased expression of cyclin A family members (A1 and A2) and cyclin E (E2) (<xref ref-type="fig" rid="F2">Figure 2F</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Transcriptomic Shifts in Cell Cycle Programs Following FZD4 Inhibition by FzM1. <bold>(A)</bold> Heatmap of differentially expressed genes (DEGs) between control DMSO- and FzM1-treated human SCC25 cells, generated by hierarchical clustering analysis. <bold>(B,C)</bold> Volcano plots of enriched terms from the GO Biological Processes gene set, obtained via Enrichr&#x2013;Appyter analysis. Each point represents a single enriched term; larger and darker-colored points indicate higher statistical significance. Red labels highlight the top most significant GO terms based on p- and q-values. Left panel: Reactome Pathways gene set. Right panel: Kinase Enrichment Analysis gene set. <bold>(D)</bold> Bar chart illustrating over-representation analysis (ORA) results for upregulated GO Biological Process terms in FzM1-treated cells. <bold>(E)</bold> GSEA plots showing enrichment of pathways associated with cell cycle control across multiple gene sets. <bold>(F)</bold> Quantitative RT&#x2013;PCR validation of selected transcripts showing altered expression following FzM1 treatment. Relative mRNA expression levels are shown as fold change (FC): <italic>CDK1</italic> (DMSO: 1.098 vs. FzM1: 0.47; p &#x3d; 0.039), <italic>CDK2</italic> (DMSO: 1.0009 vs. FzM1: 0.8936; p &#x3d; 0.167), <italic>CCNA1</italic> (DMSO: 1.0078 vs. FzM1: 0.58; p &#x3d; 0.0037), <italic>CCNA2</italic> (DMSO: 1.1088 vs. FzM1: 0.256; p &#x3d; 0.032), <italic>CCNE1</italic> (DMSO: 1.0108 vs. FzM1: 0.8363; p &#x3d; 0.217), <italic>CCNE2</italic> (DMSO: 1.0079 vs. FzM1: 0.5982; p &#x3d; 0.013), and <italic>CCND2</italic> (DMSO: 1.017 vs. FzM1: 0.73; p &#x3d; 0.144). Data are presented as mean &#xb1; SEM. &#x2a;p &#x3c; 0.05; &#x2a;&#x2a;p &#x3c; 0.01; ns, not significant (<italic>p</italic> &#x3e; 0.05).</p>
</caption>
<graphic xlink:href="fcell-14-1756565-g002.tif">
<alt-text content-type="machine-generated">Panel A shows a heatmap of gene expression for the top one hundred ninety-four differentially expressed features comparing FZM1 and DMSO conditions, with hierarchical clustering and a color scale indicating normalized log2 values. Panel B presents a scatter plot of Reactome pathway enrichment with significant cell cycle and mitotic pathways labeled in red. Panel C displays a scatter plot of kinase enrichment analysis identifying key kinases such as CDK1, CDK2, AURKB, CDC7, and PLK1. Panel D contains a bar chart of Gene Ontology biological processes enriched in the dataset, highlighting DNA replication and cell division processes. Panel E includes three line plots of gene set enrichment analysis for cell cycle-related gene sets, showing enrichment in DMSO versus FZM1. Panel F provides a grouped bar chart of fold changes in expression for cell cycle genes, comparing DMSO and FZM1, with statistical significance indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<label>3.3</label>
<title>Phenotypic analysis of proliferation reveals slower cell cycle in OSCC cells treated with FzM1</title>
<p>We then sought to phenotypically characterize the effects of FzM1 on proliferating OSCCs cells. Firstly, we investigated whether FzM1 induces cell cycle exit or quiescence by analyzing the expression of the proliferation marker Ki67. Since Ki67 is expressed during all active phases of the cell cycle (late G1, S, G2, and M) but absent in resting cells (G0), we quantified Ki67-positive cells following FzM1 treatment (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). No significant changes were observed, indicating that FzM1 does not induce quiescence.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Phenotypic characterization of cell cycle alterations following FzM1 treatment. <bold>(A)</bold> Representative immunofluorescence images of Ki67 (green) with nuclear counterstaining using DAPI (blue). Scale bar, 30&#xa0;&#xb5;m. <bold>(B)</bold> Quantification of the percentage of Ki67-positive cells relative to total nuclei. <bold>(C)</bold> Mitotic figures identified morphologically via DAPI staining. Scale bar, 30&#xa0;&#xb5;m. <bold>(D)</bold> Quantification of the percentage of cells in mitosis relative to total nuclei. <bold>(E)</bold> Representative immunofluorescence images of phospho-histone H3 (PH3, green) with DAPI (blue) nuclear counterstaining. Scale bar, 30&#xa0;&#xb5;m. <bold>(F)</bold> Quantification of the percentage of PH3-positive cells relative to total nuclei. <bold>(G)</bold> GSEA plots showing enrichment of pathways associated with specific cell cycle phases, mitotic structural changes, and key cell cycle regulators. <bold>(H)</bold> Representative images of EdU-positive cells over time during cumulative incorporation assays used to calculate cell cycle progression. Scale bar, 30&#xa0;&#xb5;m. <bold>(I)</bold> Graphical representation and quantification of the percentage of EdU-positive cells over time for cell cycle analyses. p-values for significant time point: 14 h, p &#x3d; 0.024; 16 h, p &#x3d; 0.00045; 20 h, p &#x3d; 0.00421; 24 h, p &#x3d; 0.03402. &#x2a;p &#x3c; 0.05; &#x2a;&#x2a;p &#x3c; 0.01; &#x2a;&#x2a;&#x2a;p &#x3c; 0.001; not significant (p &#x3e; 0.05). Data are presented as mean &#xb1; SEM.</p>
</caption>
<graphic xlink:href="fcell-14-1756565-g003.tif">
<alt-text content-type="machine-generated">Multipanel figure showing fluorescent microscopy and data analysis of cells treated with DMSO or FzM1. Panels A, C, and E compare DMSO and FzM1 using immunostaining for Ki67, phospho-histone H3, and mitotic cells, with quantification graphs in B, D, and F. Panel G displays four enrichment plots related to cell cycle processes. Panel H shows time-course microscopy images comparing DMSO and FzM1 treatments from 1 to 60 hours, with panel I presenting a line graph quantifying EdU-positive cells over time.</alt-text>
</graphic>
</fig>
<p>We then examined the cell cycle phase most affected by FzM1. Mitotic figures corresponding to metaphase, anaphase, and telophase were readily observed in both control and treated cells (<xref ref-type="fig" rid="F3">Figure 3C</xref>). Quantification revealed a significant reduction in the number of cells undergoing active mitotic division upon FzM1 treatment (<xref ref-type="fig" rid="F3">Figure 3D</xref>). Consistently, immunofluorescence for phospho-H3, a mitotic marker expressed from late G2 through advanced mitosis, showed fewer labeled cells in treated samples compared to controls (<xref ref-type="fig" rid="F3">Figures 3E,F</xref>).</p>
<p>To further validate these observations, we performed GSEA to assess gene expression changes related to mitosis. FzM1 treatment was negatively correlated with gene sets associated with mitotic spindle assembly and metaphase-anaphase transition (<xref ref-type="fig" rid="F3">Figure 3G</xref> left panels; <xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). Additionally, GSEA identified differential expression of genes regulating S-phase progression and cell cycle progression mediated by E2F transcription factors (<xref ref-type="fig" rid="F3">Figure 3G</xref>, right panels; <xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). These findings suggest that cells are kept in cycle during FzM1 treatment, with several phases of the cycle being affected by FzM1 exposure.</p>
<p>We reasoned that these alterations might collectively lead to a net increase in cell cycle duration, thereby slowing the kinetic progression of SCC25 cells treated with FzM1. To test this hypothesis, we performed a population kinetic analysis comparing the cell cycle length of DMSO- and FzM1-treated cells. Using thymidine analog cumulative labeling (<xref ref-type="bibr" rid="B44">Nowakowski et al., 1989</xref>; <xref ref-type="bibr" rid="B39">Mart&#xed;-Cl&#xfa;a, 2023</xref>), cells were continuously exposed to a saturating dose of EdU, followed by staining and quantification. A short EdU pulse revealed comparable labeling indices (43.6% &#xb1; 1.6 for DMSO-treated cells and 43.4% &#xb1; 0.98 for FzM1-treated cells) indicating that a similar fraction of cells was actively cycling under both conditions (<xref ref-type="fig" rid="F3">Figures 3H,I</xref>).</p>
<p>Over time, cumulative EdU incorporation showed that the proportion of labeled cells remained constant for approximately 10&#xa0;h in DMSO-treated samples (Ts &#x3d; 10h), whereas the same labeling index persisted for up to 16&#xa0;h in FzM1-treated cells (<xref ref-type="fig" rid="F3">Figures 3H,I</xref>). The prolonged maintenance of an unchanged EdU &#x2b; fraction indicates an extended S-phase in FzM1-treated cells (Ts &#x3d; 16&#xa0;h). Consistently, the saturation point at which all cycling cells become EdU-positive, was also delayed following FzM1 exposure. Because this value corresponds to the total cell cycle length minus the duration of S-phase (Tc&#x2013;Ts), we were able to mathematically estimate the total cell cycle duration as 31&#xa0;h for DMSO-treated SCC25 cells and 42&#xa0;h for FzM1-treated cells (<xref ref-type="fig" rid="F3">Figures 3I,L</xref>), (<xref ref-type="bibr" rid="B44">Nowakowski et al., 1989</xref>; <xref ref-type="bibr" rid="B39">Mart&#xed;-Cl&#xfa;a, 2023</xref>).</p>
<p>This significant prolongation of the cell cycle highlights a clear alteration in cell cycle regulatory mechanisms, which could substantially affect the proliferative capacity and expansion dynamics of OSCC cells.</p>
</sec>
<sec id="s3-4">
<label>3.4</label>
<title>FzM1 treatment alters retinoic acid metabolism and signaling to delay cell cycle progression in OSCC cells</title>
<p>To elucidate the molecular mechanisms by which FzM1 delays cell cycle progression in OSCC cells, we performed GO enrichment analysis of Biological Processes (BP) using our transcriptomic dataset. This analysis revealed significant enrichment of pathways related to retinoic acid (RA) metabolism and response to vitamin A (<xref ref-type="fig" rid="F4">Figure 4A</xref>). Consistently, GSEA demonstrated strong enrichment of pathways associated with retinol metabolism and cytochrome P450&#x2013;mediated oxidation (<xref ref-type="fig" rid="F4">Figure 4B</xref>). Volcano plot analysis revealed marked downregulation of UGT and CYP genes involved in RA catabolism (<xref ref-type="fig" rid="F4">Figure 4C</xref>) (<xref ref-type="bibr" rid="B50">Rowbotham et al., 2010</xref>; <xref ref-type="bibr" rid="B49">Ross and Zolfaghari, 2011</xref>), suggesting that FzM1 promotes RA accumulation by inhibiting its metabolic breakdown, thereby stabilizing intracellular RA levels (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Molecular characterization of FzM1-treated cells highlights involvement of retinoic acid signaling. <bold>(A)</bold> GO bar diagram showing enriched biological processes in the FzM1 over DMSO condition <bold>(B)</bold> GSEA plots depicting significant enrichment of retinoic acid metabolism (left) and oxidation by cytochrome P450 (CYP). <bold>(C)</bold> Volcano plot of differentially expressed genes highlighting downregulation of multiple CYP genes and UGT family members involved in RA metabolism. NS:Not significant; SUp: Significant Up; SDown: Significant Down; FcUp: Fold Change Up; FcDown: Fold Change Down; FcSUp: Fold Change Significant Up; FcSDown: Fold Change Significant Down <bold>(D)</bold> Representative images of EdU-positive cells over time during cumulative incorporation assays used to calculate cell cycle progression. Scale bar: 30&#xa0;&#xb5;m. <bold>(E)</bold> Graphical representation and quantification of the percentage of EdU-positive cells over time for cell cycle analyses. Data are presented as mean &#xb1; SEM.</p>
</caption>
<graphic xlink:href="fcell-14-1756565-g004.tif">
<alt-text content-type="machine-generated">Panel A shows a horizontal bar graph of enriched biological processes related to retinol and retinoic acid metabolism, with bar colors indicating p-values. Panel B presents two enrichment plots displaying KEGG and WikiPathways gene set enrichment scores over ranked gene lists. Panel C is a volcano plot showing gene expression changes, highlighting genes with significant fold changes and p-values. Panel D contains fluorescence microscopy images of cells stained for EdU (green) and DAPI (blue) at time points from one to twenty-four hours, showing increasing EdU-positive cells over time. Panel E is a line graph plotting the percentage of EdU-positive cells versus hours, depicting an upward trend with error bars.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Graphical abstract. FzM1 regulates RA levels by inhibiting its oxidation and degradation, leading to RA accumulation. This stabilization of RA contributes to the control of cell cycle progression, prolonging S-phase and extending the overall cell cycle duration in an <italic>in vitro</italic> OSCC model.</p>
</caption>
<graphic xlink:href="fcell-14-1756565-g005.tif">
<alt-text content-type="machine-generated">Diagram illustrating molecular signaling in oral squamous cell carcinoma, showing Wnt ligand, FZD4 receptor inactivated by FzM1, reduced RA signaling, and increased proliferation via RAR and RXR pathways, with CYP26 and UGTs enzymes labeled.</alt-text>
</graphic>
</fig>
<p>Since RA is known to regulate the expression of adhesion complexes in various epithelial contexts (<xref ref-type="bibr" rid="B1">Aldehlawi et al., 2020</xref>; <xref ref-type="bibr" rid="B8">Chateau and Boehm, 1996</xref>), we investigated whether transcriptomic changes upon FzM1 treatment reflect RA-mediated alterations in the SCC25 phenotype. In line with previous reports (<xref ref-type="bibr" rid="B40">Miyazono et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Kautsky et al., 1995</xref>), our data reveal a transcriptional signature marked by differential expression of genes known to be influenced by RA signaling: such as focal adhesion, adherens junctions, integrin signaling, keratin production, and collagen remodeling (<xref ref-type="sec" rid="s12">Supplementary Figures S2A&#x2013;C</xref>).</p>
<p>We next investigated the potential link between prolonged RA signaling and the delayed cell cycle progression observed following FZD4 inhibition. We reasoned that blocking RA receptor activity would reverse the effects of FzM1 and restore SCC25 cell cycle kinetics to control levels. To test this, we treated cells for 5 days with FzM1 in combination with a RA receptor antagonist (RARi). As expected, RARi completely abolished the kinetic changes observed after FzM1 treatment: Phenotypic analysis of cell-cycle dynamics revealed that FzM1&#x2b;RARi&#x2013;treated cells exhibit a proportion of mitotic figures comparable to DMSO controls (3.049% &#xb1; 0.45) and phospho-H3 levels restored to baseline (8.7% &#xb1; 1.69), with no statistically significance when compared to DMSO values. We then quantify cell cycle length in FzM1&#x2b;RARi&#x2013;treated cells. Consistently with a rescued phenotype, EdU incorporation curves revealed a S-phase duration of 10&#xa0;h (Ts &#x3d; 10&#xa0;h) and a total cell cycle length of 31&#xa0;h (Tc &#x3d; 31&#xa0;h), matching the values observed in DMSO-treated cells (<xref ref-type="fig" rid="F4">Figures 4D,E</xref>). Through these findings, we inferred that the proliferation and cell-cycle alterations induced by FzM1 require RA pathway activation downstream of FZD4 signaling, supporting a mechanistic model in which WNT and RA pathways cooperatively regulate cell-cycle progression and OSCC cell growth.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<label>4</label>
<title>Discussion</title>
<p>Dysregulated or overactive Wnt signaling is a hallmark of many human cancers, driving uncontrolled proliferation, enhanced survival, and tumor progression (<xref ref-type="bibr" rid="B22">Hayat et al., 2022</xref>). Given its central role in oncogenesis, the Wnt pathway represents a relevant therapeutic target, and its inhibition holds significant potential to improve treatment outcomes (<xref ref-type="bibr" rid="B69">Zhou et al. 2022</xref>; <xref ref-type="bibr" rid="B66">Zhang and Wang 2020</xref>). Several clinical trials are currently evaluating Wnt-targeted therapies, including small-molecule inhibitors and monoclonal antibodies (e.g., NCT02278133, NCT03447470), highlighting the translational relevance of this approach. Conversely, Wnt signaling is essential for adult tissue homeostasis, particularly in the maintenance of intestinal and epidermal stem cells, raising concerns about systemic toxicity associated with broad pathway inhibition (<xref ref-type="bibr" rid="B36">Liu et al., 2013</xref>). Targeting specific FZD receptors or other disease-relevant surface components may offer a safer, more selective alternative (<xref ref-type="bibr" rid="B21">Gurney et al., 2012</xref>).</p>
<p>FZD4, a member of the Frizzled family of G protein&#x2013;coupled receptors, plays a central role in mediating Wnt signaling and has been increasingly implicated in the regulation of tumor growth and malignancy (<xref ref-type="bibr" rid="B34">Lin et al., 2017</xref>; <xref ref-type="bibr" rid="B62">Yang Y. et al., 2018</xref>; <xref ref-type="bibr" rid="B57">Tanaka et al., 1998</xref>; <xref ref-type="bibr" rid="B15">Fang et al., 2018</xref>; <xref ref-type="bibr" rid="B64">Yu et al., 2021</xref>). Dysregulation of FZD4 has been observed across multiple solid tumors, where it can act as an oncogenic driver (e.g., bladder, prostate, and ovarian cancers) (<xref ref-type="bibr" rid="B9">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B20">Gupta et al., 2010</xref>; <xref ref-type="bibr" rid="B9">Chen et al., 2018</xref>; <xref ref-type="bibr" rid="B68">Zhou et al., 2021</xref>) or tumor suppressor (e.g., cutaneous squamous cell carcinoma) (<xref ref-type="bibr" rid="B67">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Bian et al., 2024</xref>). Specific downregulation of FZD4 reversed prostate cancer regulating proliferation, migration and invasion (<xref ref-type="bibr" rid="B17">Formosa et al., 2014</xref>; <xref ref-type="bibr" rid="B20">Gupta et al., 2010</xref>) supporting its therapeutic potential. Neutralizing antibodies that target all FZD receptors, including FZD4, more effectively inhibit tumor growth in preclinical models than approaches that block all other FZDs while leaving FZD4 unaffected (<xref ref-type="bibr" rid="B46">Pavlovic et al., 2018</xref>). FzM1is a negative allosteric modulator specifically designed to inhibit FZD4 signaling, ultimately blocking the transcription of downstream T-cell factor/lymphoid enhancer-binding factor family (TCF/LEF)-dependent genes (<xref ref-type="bibr" rid="B19">Generoso et al., 2015</xref>).</p>
<p>In the present study, we provide mechanistic insight into how FzM1 modulates intracellular signaling networks and cellular behavior in OSCC. We demonstrate that FzM1 treatment results in altered expression of key cell cycle regulators and a marked delay in cell cycle progression. Quantitative cell cycle analyses revealed a significant prolongation of total cycle duration: From 31&#xa0;h in OSCC cells to 42&#xa0;h following FzM1 treatment, driven primarily by an extended S-phase. This kinetic slowdown reflects disrupted cycle control and reduces proliferative capacity, highlighting a direct functional consequence of FZD4 inhibition on OSCC growth dynamics. Thus, the pro-oncogenic function of FZD4 places OSCC alongside cancers such as non-small cell lung carcinoma, colon, and prostate cancer, in which FZD4 promotes tumor growth through Wnt/&#x3b2;-catenin signaling. In contrast, cutaneous squamous cell carcinoma represent a notable difference, where FZD4 overexpression inhibits proliferation and induces apoptosis. These observations underscore the context-dependent nature of FZD4 signaling, highlighting its oncogenic activity in OSCC and other epithelial malignancies.</p>
<p>Mechanistically, our transcriptomic profiling revealed a strong association between FZD4 inhibition and the RA metabolic pathway. FzM1-treated cells exhibited downregulation of cytochrome P450 (CYP) enzymes and glucuronosyltransferases (UGTs), both key mediators of RA catabolism. This suppression likely elevates intracellular RA levels by stabilization, potentially linking the FzM1-RA axis to the observed deceleration of the cell cycle (<xref ref-type="fig" rid="F5">Figure 5</xref>). Previous studies have shown that Wnt activity can induce CYP26A1 expression, reducing RA signaling, impairing cellular differentiation, and promoting continued stem cell proliferation, thereby contributing to tumor development (<xref ref-type="bibr" rid="B35">Liu et al., 2002</xref>; <xref ref-type="bibr" rid="B14">Easwaran et al., 1999</xref>; <xref ref-type="bibr" rid="B7">Chanda et al., 2013</xref>). Additionally, UGTs are known to participate in the metabolism of diverse classes of cancer therapeutics (<xref ref-type="bibr" rid="B2">Allain et al., 2020</xref>), suggesting that their regulation by FzM1 could have broader implications for cancer therapy. Together, these findings further support a role for Wnt&#x2013;FZD4 signaling within the broader regulatory framework of OSCC.</p>
<p>Elevated RA availability is known to affect key regulators of cell cycle progression, such as cyclin turnover, MAPK signaling, and Rb phosphorylation (<xref ref-type="bibr" rid="B13">Crowe et al., 2003</xref>). Notably in our study, co-treatment of FzM1 with the inhibitor of retinoic acid receptors AGN 193109 (RARi) largely restored basal cell cycle kinetics, reversing the delay observed with FzM1 alone. This effect indicates that FzM1-induced slowing of the cell cycle depends on RA receptor activation, supporting a model in which RARi acts downstream of Wnt-FZD4 signaling axis.</p>
<p>Similar to our OSCC model, RA shows promising anti-cancer activity in multiple contexts. In colitis-associated colorectal cancer, RA levels are markedly reduced due to altered metabolism, with inhibition of RA signaling promoting tumorigenesis. Notably, elevated expression of the RA-catabolizing enzyme CYP26A1 correlated with poorer prognosis in patients (<xref ref-type="bibr" rid="B4">Bhattacharya et al., 2016</xref>). In lung squamous cell carcinoma, RA treatment of human cancer cells and tumor xenografts suppresses proliferation while promoting apoptosis and differentiation (<xref ref-type="bibr" rid="B42">Moro et al., 2015</xref>). Despite these preclinical results, retinoids have not achieved broad clinical utility in patients; however, novel combinatorial strategies and modern formulations may offer opportunities to improve efficacy (<xref ref-type="bibr" rid="B59">Tripathi et al., 2019</xref>).</p>
<p>In summary, our findings provide a comprehensive view of the multifaceted mechanisms through which FzM1 exerts its antitumor effects in OSCC. By selectively inhibiting FZD4, FzM1 simultaneously disrupts Wnt-dependent oncogenic signaling, alters RA metabolism and impairs regulators of cell cycle progression. These converging effects culminate in a substantial prolongation of the cell cycle length ultimately suppressing cell proliferation. Future work to confirm these findings is planned, using patient-derived organoids and <italic>in vivo</italic> studies to validate and extend the impact of the <italic>in vitro</italic> results. Collectively, our findings position FzM1 as a promising therapeutic strategy for FZD4-overexpressing malignancies and highlight the potential of targeting the FZD4-RA axis in oral squamous cell carcinoma.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/genbank/">https://www.ncbi.nlm.nih.gov/genbank/</ext-link>, PRJNA1355448.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. The animal study was approved by Cantonal Veterinary Office in Zurich (license ZH086/2021). The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>RD: Data curation, Formal Analysis, Investigation, Methodology, Supervision, Writing &#x2013; review and editing. IV: Data curation, Formal Analysis, Investigation, Methodology, Validation, Writing &#x2013; review and editing. SB: Data curation, Formal Analysis, Investigation, Writing &#x2013; original draft, Writing &#x2013; review and editing. CM: Data curation, Formal Analysis, Investigation, Methodology, Supervision, Writing &#x2013; review and editing. CP: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors gratefully acknowledge the Functional Genomics Center Zurich (FGCZ) of University of Zurich and ETH Zurich for the transcriptomic study. We thank Jacqueline Hofmann-Lobsiger for her valuable technical support and assistance with the experimental work.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" 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/fcell.2026.1756565/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcell.2026.1756565/full&#x23;supplementary-material</ext-link>
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<sec id="s13">
<title>Glossary</title>
<def-list>
<def-item>
<term id="G1-fcell.2026.1756565">
<bold>Wnt</bold>
</term>
<def>
<p>Wingless and Int-1</p>
</def>
</def-item>
<def-item>
<term id="G2-fcell.2026.1756565">
<bold>FZD4</bold>
</term>
<def>
<p>Frizzled 4</p>
</def>
</def-item>
<def-item>
<term id="G3-fcell.2026.1756565">
<bold>OSCC</bold>
</term>
<def>
<p>Oral squamous cell carcinoma</p>
</def>
</def-item>
<def-item>
<term id="G4-fcell.2026.1756565">
<bold>HPV</bold>
</term>
<def>
<p>human papillomavirus</p>
</def>
</def-item>
<def-item>
<term id="G5-fcell.2026.1756565">
<bold>EGFR</bold>
</term>
<def>
<p>epidermal growth factor receptor</p>
</def>
</def-item>
<def-item>
<term id="G6-fcell.2026.1756565">
<bold>MAPK</bold>
</term>
<def>
<p>mitogen-activated protein kinase</p>
</def>
</def-item>
<def-item>
<term id="G7-fcell.2026.1756565">
<bold>NF-&#x3ba;B</bold>
</term>
<def>
<p>Nuclear Factor kappa-light-chain-enhancer of activated B cells</p>
</def>
</def-item>
<def-item>
<term id="G8-fcell.2026.1756565">
<bold>Bcl-2</bold>
</term>
<def>
<p>B-cell lymphoma 2</p>
</def>
</def-item>
<def-item>
<term id="G9-fcell.2026.1756565">
<bold>Rb</bold>
</term>
<def>
<p>retinoblastoma</p>
</def>
</def-item>
<def-item>
<term id="G10-fcell.2026.1756565">
<bold>CDK</bold>
</term>
<def>
<p>cyclin-dependent kinase</p>
</def>
</def-item>
<def-item>
<term id="G11-fcell.2026.1756565">
<bold>TP53</bold>
</term>
<def>
<p>Tumor Protein p53</p>
</def>
</def-item>
<def-item>
<term id="G12-fcell.2026.1756565">
<bold>E2F</bold>
</term>
<def>
<p>Early 2 Factor</p>
</def>
</def-item>
<def-item>
<term id="G13-fcell.2026.1756565">
<bold>miRNA</bold>
</term>
<def>
<p>microRNAs</p>
</def>
</def-item>
<def-item>
<term id="G14-fcell.2026.1756565">
<bold>lncRNA</bold>
</term>
<def>
<p>long non-coding RNAs</p>
</def>
</def-item>
<def-item>
<term id="G15-fcell.2026.1756565">
<bold>circRNA</bold>
</term>
<def>
<p>circular RNAs</p>
</def>
</def-item>
<def-item>
<term id="G16-fcell.2026.1756565">
<bold>LRP5/6</bold>
</term>
<def>
<p>low-density lipoprotein receptor-related proteins 5 and 6</p>
</def>
</def-item>
<def-item>
<term id="G17-fcell.2026.1756565">
<bold>EMT</bold>
</term>
<def>
<p>epithelial-to-mesenchymal transition</p>
</def>
</def-item>
<def-item>
<term id="G18-fcell.2026.1756565">
<bold>RA</bold>
</term>
<def>
<p>retinoic acid</p>
</def>
</def-item>
<def-item>
<term id="G19-fcell.2026.1756565">
<bold>4NQO</bold>
</term>
<def>
<p>4-nitroquinoline 1-oxide</p>
</def>
</def-item>
<def-item>
<term id="G20-fcell.2026.1756565">
<bold>DMSO</bold>
</term>
<def>
<p>Dimethyl sulfoxide</p>
</def>
</def-item>
<def-item>
<term id="G21-fcell.2026.1756565">
<bold>PFA</bold>
</term>
<def>
<p>paraformaldehyde</p>
</def>
</def-item>
<def-item>
<term id="G22-fcell.2026.1756565">
<bold>PBS</bold>
</term>
<def>
<p>Phosphate-buffered saline</p>
</def>
</def-item>
<def-item>
<term id="G23-fcell.2026.1756565">
<bold>FBS</bold>
</term>
<def>
<p>fetal bovine serum</p>
</def>
</def-item>
<def-item>
<term id="G24-fcell.2026.1756565">
<bold>DAPI</bold>
</term>
<def>
<p>4&#x2032;,6-diamidino-2-phenylindole dihydrochloride</p>
</def>
</def-item>
<def-item>
<term id="G25-fcell.2026.1756565">
<bold>ATCC</bold>
</term>
<def>
<p>American Type Culture Collection</p>
</def>
</def-item>
<def-item>
<term id="G26-fcell.2026.1756565">
<bold>DMEM/F12</bold>
</term>
<def>
<p>Dulbecco&#x2019;s Modified Eagle Medium Nutrient Mixture F-12</p>
</def>
</def-item>
<def-item>
<term id="G27-fcell.2026.1756565">
<bold>HEPES</bold>
</term>
<def>
<p>4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid</p>
</def>
</def-item>
<def-item>
<term id="G28-fcell.2026.1756565">
<bold>EDTA</bold>
</term>
<def>
<p>Ethylenediaminetetraacetic acid</p>
</def>
</def-item>
<def-item>
<term id="G29-fcell.2026.1756565">
<bold>FzM1</bold>
</term>
<def>
<p>3-Hydroxy-5-[[(2-Naphthalenylamino)carbonyl]amino]benzoic acid</p>
</def>
</def-item>
<def-item>
<term id="G30-fcell.2026.1756565">
<bold>RARi</bold>
</term>
<def>
<p>Retinoic acid receptor inhibitor</p>
</def>
</def-item>
<def-item>
<term id="G31-fcell.2026.1756565">
<bold>pH3</bold>
</term>
<def>
<p>phospho Histone3</p>
</def>
</def-item>
<def-item>
<term id="G32-fcell.2026.1756565">
<bold>EdU</bold>
</term>
<def>
<p>5-Ethynyl-2&#x2032;-deoxyuridine</p>
</def>
</def-item>
<def-item>
<term id="G33-fcell.2026.1756565">
<bold>Tc</bold>
</term>
<def>
<p>Total cell cycle length</p>
</def>
</def-item>
<def-item>
<term id="G34-fcell.2026.1756565">
<bold>Ts</bold>
</term>
<def>
<p>S-phase length</p>
</def>
</def-item>
<def-item>
<term id="G35-fcell.2026.1756565">
<bold>RIPA</bold>
</term>
<def>
<p>Radioimmunoprecipitation assay</p>
</def>
</def-item>
<def-item>
<term id="G36-fcell.2026.1756565">
<bold>DTT</bold>
</term>
<def>
<p>dithiothreitol</p>
</def>
</def-item>
<def-item>
<term id="G37-fcell.2026.1756565">
<bold>SDS-PAGE</bold>
</term>
<def>
<p>Sodium Dodecyl Sulfate-PolyAcrylamide Gel Electrophoresis</p>
</def>
</def-item>
<def-item>
<term id="G38-fcell.2026.1756565">
<bold>TBS</bold>
</term>
<def>
<p>Tris-Buffered Saline</p>
</def>
</def-item>
<def-item>
<term id="G39-fcell.2026.1756565">
<bold>BSA</bold>
</term>
<def>
<p>Bovine Serum Albumin</p>
</def>
</def-item>
<def-item>
<term id="G40-fcell.2026.1756565">
<bold>GAPDH</bold>
</term>
<def>
<p>glyceraldehyde-3-phosphate dehydrogenase</p>
</def>
</def-item>
<def-item>
<term id="G41-fcell.2026.1756565">
<bold>HRP</bold>
</term>
<def>
<p>Horseradish Peroxidase</p>
</def>
</def-item>
<def-item>
<term id="G42-fcell.2026.1756565">
<bold>Krt10</bold>
</term>
<def>
<p>Keratin10</p>
</def>
</def-item>
<def-item>
<term id="G43-fcell.2026.1756565">
<bold>TBS-T</bold>
</term>
<def>
<p>Tris-Buffered Saline- Tween 20</p>
</def>
</def-item>
<def-item>
<term id="G44-fcell.2026.1756565">
<bold>KEA</bold>
</term>
<def>
<p>Kinase Enrichment Analysis</p>
</def>
</def-item>
<def-item>
<term id="G45-fcell.2026.1756565">
<bold>GO</bold>
</term>
<def>
<p>Gene Ontology</p>
</def>
</def-item>
<def-item>
<term id="G46-fcell.2026.1756565">
<bold>GSEA</bold>
</term>
<def>
<p>Gene set enrichment analysis</p>
</def>
</def-item>
<def-item>
<term id="G47-fcell.2026.1756565">
<bold>CDK1</bold>
</term>
<def>
<p>Cyclin-dependent kinase 1</p>
</def>
</def-item>
<def-item>
<term id="G48-fcell.2026.1756565">
<bold>CDK2</bold>
</term>
<def>
<p>Cyclin-dependent kinase 2</p>
</def>
</def-item>
<def-item>
<term id="G49-fcell.2026.1756565">
<bold>BP</bold>
</term>
<def>
<p>Biological Processes</p>
</def>
</def-item>
<def-item>
<term id="G50-fcell.2026.1756565">
<bold>TCF/LEF</bold>
</term>
<def>
<p>T-cell factor/lymphoid enhancer-binding factor family</p>
</def>
</def-item>
<def-item>
<term id="G51-fcell.2026.1756565">
<bold>CYP450</bold>
</term>
<def>
<p>cytochrome P450</p>
</def>
</def-item>
<def-item>
<term id="G52-fcell.2026.1756565">
<bold>UGTs</bold>
</term>
<def>
<p>glucuronosyltransferases</p>
</def>
</def-item>
<def-item>
<term id="G53-fcell.2026.1756565">
<bold>DEG</bold>
</term>
<def>
<p>differentially expressed genes</p>
</def>
</def-item>
<def-item>
<term id="G54-fcell.2026.1756565">
<bold>ORA</bold>
</term>
<def>
<p>over-representation analysis</p>
</def>
</def-item>
<def-item>
<term id="G55-fcell.2026.1756565">
<bold>SEM</bold>
</term>
<def>
<p>Standard Error of the Mean</p>
</def>
</def-item>
<def-item>
<term id="G56-fcell.2026.1756565">
<bold>WP</bold>
</term>
<def>
<p>WikiPathways</p>
</def>
</def-item>
<def-item>
<term id="G57-fcell.2026.1756565">
<bold>KEGG</bold>
</term>
<def>
<p>Kyoto Encyclopedia of Genes and Genomes</p>
</def>
</def-item>
<def-item>
<term id="G58-fcell.2026.1756565">
<bold>RIN</bold>
</term>
<def>
<p>RNA Integrity Number</p>
</def>
</def-item>
<def-item>
<term id="G59-fcell.2026.1756565">
<bold>FPKM</bold>
</term>
<def>
<p>fragments per kilobase of transcript per million mapped reads</p>
</def>
</def-item>
<def-item>
<term id="G60-fcell.2026.1756565">
<bold>DEG</bold>
</term>
<def>
<p>Differentially Expressed Genes</p>
</def>
</def-item>
</def-list>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2776898/overview">Zhangyi Luo</ext-link>, University of Pennsylvania, United States</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2233050/overview">Chenna R. Galiveti</ext-link>, University of Virginia, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2584113/overview">Liqun Tu</ext-link>, Stanford University, United States</p>
</fn>
</fn-group>
</back>
</article>