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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell Dev. Biol.</journal-id>
<journal-title>Frontiers in Cell and Developmental Biology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell Dev. Biol.</abbrev-journal-title>
<issn pub-type="epub">2296-634X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1637767</article-id>
<article-id pub-id-type="doi">10.3389/fcell.2025.1637767</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cell and Developmental Biology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cooperative targeting of NF-&#x3ba;B enhances ferroptosis-driven HCC therapy with Alisertib and Donafenib</article-title>
<alt-title alt-title-type="left-running-head">Zhou and Wang</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2025.1637767">10.3389/fcell.2025.1637767</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Qiong</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2981323/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Rui</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
</contrib>
</contrib-group>
<aff>
<institution>Laboratory of Medical Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <addr-line>Jiangsu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/942805/overview">Junqi Huang</ext-link>, Jinan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2392056/overview">Zilong Zhao</ext-link>, University of Texas MD Anderson Cancer Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2764917/overview">Leena Dhoble</ext-link>, University of Florida, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/267973/overview">Dragos Cretoiu</ext-link>, Carol Davila University of Medicine and Pharmacy, Romania</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Rui Wang, <email>wangrui218@nju.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="ecorrected">
<day>10</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1637767</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhou and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhou and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide. It is often diagnosed at advanced stages, which limits treatment options. Although Donafenib is a standard therapy for advanced HCC, its effectiveness is often reduced by treatment failures. Alisertib, an Aurora-A kinase inhibitor, shows promise in enhancing the cytotoxic effects of Donafenib. This study investigates the combined therapeutic effects of these two agents.</p>
</sec>
<sec>
<title>Methods</title>
<p>Synergistic cytotoxicity was assessed via CCK-8 and colony formation assays. Ferroptosis activation was quantified through flow cytometry, lipid peroxidation, and measurements of reactive oxygen species (ROS), intracellular Fe<sup>2&#x2b;</sup>, and GSH/GSSG. Mechanistic studies involved immunofluorescence for NF-&#x3ba;B/p65 localization, along with Western blotting, qPCR, and dual-luciferase reporter assays to evaluate protein and gene expression. Chromatin immunoprecipitation (ChIP) experiments were performed to analyze the binding of NF-&#x3ba;B/p65 to its endogenous promoters. <italic>In vivo</italic> xenografts were established to evaluate the antitumor efficacy and potential side effects of the combination treatment, supported by histological and immunohistochemical analyses.</p>
</sec>
<sec>
<title>Results</title>
<p>Optimal synergistic concentrations (Alisertib 2.5 &#xb5;M &#x2b; Donafenib 10 &#xb5;M for HCCLM3; 5 &#xb5;M for Huh7) induced profound ferroptotic cascades, evidenced by elevated ROS, lipid peroxides, and Fe<sup>2&#x2b;</sup> accumulation concurrent with GSH depletion. The co-treatment potently inhibited p65 nuclear translocation while stabilizing I&#x3ba;B&#x3b1;, thereby suppressing NRF2-mediated antioxidant transcription. Xenograft models demonstrated marked tumor volume reduction with preserved organ architecture and hematological parameters, confirming clinical translatability.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Alisertib is identified as a potent enhancer of Donafenib-induced ferroptosis through inhibition of the NF-&#x3ba;B/NRF2 pathway. This suggests a novel combinatorial strategy that targets ferroptosis through NF-&#x3ba;B inhibition. Further research is needed to translate these promising results into clinical practice.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hepatocellular carcinoma</kwd>
<kwd>Donafenib</kwd>
<kwd>Alisertib</kwd>
<kwd>ferroptosis</kwd>
<kwd>NF-&#x3ba;B signaling pathway</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cell Death and Survival</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, primarily due to late-stage diagnoses and treatment challenges (<xref ref-type="bibr" rid="B29">Siegel et al., 2024</xref>; <xref ref-type="bibr" rid="B17">Li et al., 2024</xref>). Treatment options include surgery, ablation, intra-arterial therapies, radiation, and systemic therapies with targeted and immunotherapies (<xref ref-type="bibr" rid="B34">Vogel et al., 2022</xref>). However, many patients present with advanced disease, resulting in poor treatment outcomes. Donafenib, a multi-kinase inhibitor and standard treatment for advanced HCC, significantly improves overall survival in Phase II-III trials while maintaining a favorable safety profile (<xref ref-type="bibr" rid="B24">Qin et al., 2021</xref>; <xref ref-type="bibr" rid="B2">Alawyia and Constantinou, 2023</xref>). Nonetheless, its clinical benefits are still limited. Therefore, understanding the mechanisms of Donafenib-induced cell death is crucial for exploring combination therapies to enhance its therapeutic impact.</p>
<p>Ferroptosis is a cell death mechanism regulated by iron-dependent lipid peroxidation, making it a promising therapeutic target in oncology, particularly for HCC(<xref ref-type="bibr" rid="B1">Ajoolabady et al., 2023</xref>; <xref ref-type="bibr" rid="B19">Liang et al., 2023</xref>; <xref ref-type="bibr" rid="B7">Du et al., 2024</xref>). Unlike apoptosis and necrosis, ferroptosis represents a balance between oxidation and antioxidation. When this balance is disrupted, excess lipid peroxidation can impair normal cellular functions, ultimately leading to ferroptotic cell death (<xref ref-type="bibr" rid="B31">Tang and Kroemer, 2020</xref>; <xref ref-type="bibr" rid="B33">Tang et al., 2024</xref>). Recent studies suggest that promoting ferroptosis could represent a novel approach to overcome resistance mechanisms in HCC (<xref ref-type="bibr" rid="B43">Zhao S. et al., 2022</xref>; <xref ref-type="bibr" rid="B48">Zhou et al., 2023</xref>; <xref ref-type="bibr" rid="B32">Tang et al., 2020</xref>). Gao et al. demonstrated that YAP/TAZ transcription factors confer sorafenib resistance in HCC through TEAD-ATF4 axis-mediated SLC7A11 upregulation, which critically suppresses ferroptosis (<xref ref-type="bibr" rid="B10">Gao et al., 2021</xref>). Zheng et al. further demonstrated that Donafenib-GSK-J4 combination therapy induces ferroptosis in HCC through HMOX1-mediated iron accumulation, mechanistically linking heme oxygenase activation to lethal lipid peroxidation cascades, thereby revealing druggable vulnerabilities in refractory liver cancer (<xref ref-type="bibr" rid="B44">Zheng C. et al., 2023</xref>).</p>
<p>Alisertib, a highly selective Aurora-A kinase inhibitor, exerts its therapeutic effects via high-affinity enzyme binding, triggering mitotic catastrophe through aberrant spindle assembly and chromosomal missegregation (<xref ref-type="bibr" rid="B47">Zhou et al., 1998</xref>). Emerging as a multitargeted small-molecule agent, alisertib synergistically enhances conventional chemotherapies and targeted anticancer regimens through concurrent pathway blockade, positioning it as a promising chemosensitizer in precision oncology (<xref ref-type="bibr" rid="B6">Du et al., 2021</xref>; <xref ref-type="bibr" rid="B45">Zheng D. et al., 2023</xref>). Ongoing early-phase trials (Phase I-II) are systematically evaluating Alisertib monotherapy and its combinatorial potential with radiotherapy, cytotoxic regimens, molecular-targeted agents, and immunomodulators across multiple clinical cohorts (<xref ref-type="bibr" rid="B49">Zhou et al., 2024</xref>). Our previous studies demonstrated that Aurora-A expression is crucial for mediating chemotherapy and radiotherapy resistance in HCC. Specifically, we revealed Aurora-A induces chemoresistance by modulating the NF-&#x3ba;B/miR-21/PTEN axis, while concurrently promoting radiotherapy resistance through NF-&#x3ba;B activation and apoptotic gene upregulation (<xref ref-type="bibr" rid="B28">Shen et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Zhang et al., 2014</xref>). Furthermore, we investigated Aurora-A inhibitors&#x2019; capacity to resensitize HCC cells to sorafenib via AKT/MAPK pathway modulation, establishing these inhibitors as promising therapeutic candidates against HCC&#x2019;s aggressive biology (<xref ref-type="bibr" rid="B41">Zhang et al., 2018b</xref>). Nevertheless, whether Aurora-A inhibition enhances Donafenib efficacy remains undetermined. Although preliminary evidence suggests Alisertib may potentiate tumor sensitivity to multiple therapies, its role in ferroptosis induction within HCC requires systematic exploration.</p>
<p>This study investigates the synergistic potential of alisertib in enhancing Donafenib-induced ferroptosis in HCC while deciphering the mechanistic underpinnings. Through systematic evaluation of Alisertib/Donafenib combinatorial treatment in HCC models, we establish optimized therapeutic thresholds (alisertib: 2.5 &#x3bc;M <italic>in vitro</italic>; 30 mg/kg <italic>in vivo</italic>) that augment Donafenib&#x2019;s ferroptotic efficacy via NF-&#x3ba;B/NRF2 axis suppression. Crucially, subtoxic alisertib co-treatment amplifies Donafenib-driven lipid peroxidation cascades while disrupting NRF2-mediated antioxidant defenses. These mechanistically defined interactions provide a rational basis for developing ferroptosis-focused combination regimens to improve survival outcomes in advanced HCC.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Cell culture</title>
<p>HCC cell lines HCCLM3 and Huh7 were obtained from the Cell Bank at the Chinese Academy of Sciences. Cells were cultured in a humidified incubator at 37&#xb0;C with 5% CO<sub>2</sub>. The DMEM medium (C11995500BT, Gibco, United States) was supplemented with 10% fetal bovine serum (FSP500, ExCell Biotech, China) and 1% penicillin/streptomycin (C100C5, NCM Biotech, China) for optimal growth.</p>
</sec>
<sec id="s2-2">
<title>Chemicals and reagents</title>
<p>Donafenib (HY-10201S), Alisertib (HY-10971), and Ferrostatin-1 (HY-100579) were acquired from MedChemExpress (MCE) Corporation located in Shanghai, China. Z-VAD-FMK (S7023), 3-MA (3-Methyladenine, S2767), Necrostatin-1 (Nec-1, S8037), Belnacasan (VX-765, S2228), and PMA (S7791) were sourced from Selleck Chemicals in Houston, TX. Dimethyl sulfoxide (DMSO) was supplied by Sigma-Aldrich, also in Shanghai, China.</p>
</sec>
<sec id="s2-3">
<title>Western blotting</title>
<p>Total protein extraction utilized the Protease and Phosphatase Inhibitor Cocktail (P002, NCM Biotech, China). Cytoplasmic and nuclear proteins were isolated using the Nuclear and Cytoplasmic Protein Extraction Kit (KGB5302, KGI Biotechnology) according to the manufacturer&#x2019;s instructions. Protein concentrations were measured with the BCA assay (ZJ102 kit, Epizyme Biomedical Technology). Samples were mixed with a 5 &#xd7; loading buffer (LT103, Epizyme Biomedical Technology) and heated at 95&#xb0;C for 10 min. We loaded 30 &#xb5;g of total proteins and 60 &#xb5;g of phosphorylated proteins onto 12.5% SDS-PAGE gels, followed by transfer to 0.2 &#xb5;m PVDF membranes (Merck, Millipore). Membranes were blocked with 5% skim milk or BSA for 1 h to reduce non-specific binding, then incubated overnight at 4&#xb0;C with primary antibodies (see <xref ref-type="sec" rid="s14">Supplementary Table S1</xref>). Species-specific secondary antibodies were applied for 1&#x2013;2 h at room temperature. Finally, protein bands were visualized using Enhanced Chemiluminescent detection (P10060, NCM, China).</p>
</sec>
<sec id="s2-4">
<title>RNA extraction and RT-qPCR</title>
<p>Total RNA was extracted from biological samples using the RNAex Pro Reagent (AG21101, Accurate Biology, China), followed by a purification step in accordance with the protocols outlined in the SteadyPure RNA Extraction Kit (AG21024, Accurate Biology, China). The quality of the isolated RNA was assessed by quantifying both concentration and purity using a NanoDrop One spectrophotometer (Thermo Fisher Scientific, MA, United States). For complementary DNA (cDNA) synthesis, 2 &#xb5;g of total RNA was reverse transcribed using the Evo M-MLV RT Premix (AG11706, Accurate Biology, China). Subsequently, quantitative real-time PCR (qPCR) analysis was performed with 100 ng of the synthesized cDNA as the template for amplification. mRNA expression levels were evaluated using the SYBR Green Premix Pro Taq HS qPCR Kit (Rox Plus, AG11718, Accurate Biology, China) on a QuantStudio 1 Real-Time PCR System developed by Applied Biosystems, a subsidiary of Thermo Fisher Scientific, MA, United States. Detailed information regarding the primer sequences used in this study is provided in <xref ref-type="sec" rid="s14">Supplementary Table S2</xref>.</p>
</sec>
<sec id="s2-5">
<title>Hematoxylin-eosin (H&#x26;E) staining and immunohistochemistry (IHC)</title>
<p>Tumor-bearing mice were euthanized, and tumors and surrounding organs were collected to assess systemic toxicity. Specimens were fixed in 4% paraformaldehyde for at least 24 h, then embedded in paraffin and sectioned to 3&#x2013;5 &#x3bc;m for H&#x26;E staining (BL700A, Biosharp, China). For IHC, sections were deparaffinized, rehydrated, and subjected to antigen retrieval. After blocking to reduce non-specific binding, sections were incubated with primary and secondary antibodies, and nuclei were counterstained with hematoxylin.</p>
</sec>
<sec id="s2-6">
<title>Immunofluorescence</title>
<p>HCC cells were seeded in confocal dishes and allowed to adhere. After 48 h of drug treatment, the medium was discarded. Cells were fixed with 4% paraformaldehyde for 20 min, permeabilized with 0.3% Triton X-100 for 15 min, and blocked with goat serum for 1 h. They were incubated overnight at 4&#xb0;C with an anti-p65 antibody (1:200, &#x23;8242, Cell Signaling Technology, United States), followed by a 1-hour incubation with Alexa Fluor&#xae; 488-AffiniPure goat anti-rabbit IgG (Jackson ImmunoResearch Laboratories, United States). Nuclei were stained with DAPI (C1002, Beyotime, China) for 5 min.</p>
</sec>
<sec id="s2-7">
<title>Transmission electron microscopy (TEM)</title>
<p>HCC cells treated with Donafenib and/or Alisertib were fixed overnight at room temperature using a fixative (G1102, Servicebio, China). This was followed by fixation with osmium tetroxide, dehydration, and embedding in resin. Ultrathin sections (60&#x2013;80 nm) were prepared using an ultramicrotome (Leica EM UC7) and stained with heavy metals (lead and uranium).</p>
</sec>
<sec id="s2-8">
<title>Cell viability and IC<sub>50</sub> assays</title>
<p>Cell viability was assessed using the CCK8 kit (BS350, Biosharp, China), with HCC cells seeded in 96-well plates and treated with the respective treatments for 0&#x2013;72 h. Every 24 h, the medium was replaced with CCK8 reagent, and after a 1.5-hour incubation, optical density was measured at 450 nm to evaluate cell viability.</p>
</sec>
<sec id="s2-9">
<title>Cell death and cell death manner assessment</title>
<p>After a 48-hour exposure to pharmacological agents, cells were harvested from 6-well plates and stained with Annexin V and propidium iodide (PI) (KGA1102, KeyGEN, China) for flow cytometry analysis on a Beckman Coulter instrument. Inhibitors used included Z-VAD-FMK (20 &#xb5;M) for apoptosis, 3-MA (10 &#xb5;M) for autophagy, Nec-1 (10 &#xb5;M) for necroptosis, VX-765 (20 &#xb5;M) for pyroptosis, and Ferrostatin-1 (10 &#xb5;M) for ferroptosis.</p>
</sec>
<sec id="s2-10">
<title>Drug synergy determination</title>
<p>Based on the established IC<sub>50</sub> values for Donafenib and Alisertib, a 7 &#xd7; 7 concentration gradient matrix was formulated. The concentrations for Donafenib were 0, 0.625, 1.25, 2.5, 5, 10, and 20 &#x3bc;M, while the concentration gradient for Alisertib included 0, 1.25, 2.5, 5, 10, 20, and 40 &#x3bc;M. HCCLM3 and Huh7 cells were cultured in 96-well plates according to this matrix design. Subsequently, drug synergy scores were calculated using SynergyFinder software, and a heatmap representing the synergistic interactions was generated using the built-in zero interaction potency (ZIP) approach (<xref ref-type="bibr" rid="B13">Ianevski et al., 2022</xref>).</p>
</sec>
<sec id="s2-11">
<title>Clone formation assay</title>
<p>HCCLM3 and Huh7 cells were seeded in six-well plates at a density of 600 and 800 cells per well, respectively, with medium changes every 2&#x2013;3 days until colonies exceeded 50. After treatment, the colonies were fixed with 4% paraformaldehyde and stained using a 0.1% crystal violet solution.</p>
</sec>
<sec id="s2-12">
<title>5-Ethynyl-20-deoxyuridine (EdU) assay</title>
<p>The EdU incorporation assay assessed cellular proliferation differences by treating adherent cells in six-well plates with compounds for 48 h, followed by 10 &#xb5;M EdU for 2 h. Staining was performed per the manufacturer&#x2019;s instructions (C0078, Beyotime, China), with nuclei counterstained using Hoechst 33,342.</p>
</sec>
<sec id="s2-13">
<title>LPO and cytosolic ROS assay</title>
<p>HCCLM3 and Huh7 cells were cultured in 6-well plates at 4 &#xd7; 10<sup>5</sup> cells per well and treated with pharmacological compounds for 48 h. Lipid peroxides (LPO) and intracellular reactive oxygen species (ROS) levels were measured using the C11-BODIPY 581/591 and DCFH-DA probes, respectively, following the manufacturer&#x2019;s instructions (Elabscience, China).</p>
</sec>
<sec id="s2-14">
<title>Total iron content determination</title>
<p>After 48 h of treatment with pharmacological agents, approximately one million cells from each group were collected and incubated with the iron probe following the manufacturer&#x2019;s guidelines (E-BC-K880-M, Elabscience, China). Absorbance was measured at 593 nm using a microplate reader to evaluate the results.</p>
</sec>
<sec id="s2-15">
<title>Total glutathione determination</title>
<p>Cells were plated in 6-well culture plates at 4 &#xd7; 10<sup>5</sup> cells per well and incubated overnight for adherence before undergoing specified treatments. Following treatment, total intracellular glutathione (GSH/GSSH) was quantified using an assay kit (E-BC-K097-M, Elabscience, China) following the manufacturer&#x2019;s protocol.</p>
</sec>
<sec id="s2-16">
<title>Malondialdehyde assay (MDA)</title>
<p>The intracellular concentration of malondialdehyde (MDA) was measured using a Colorimetric Assay Kit from Elabscience (E-BC-K028-M, China), with optical density assessed at 532 nm using a microplate reader for precise quantification.</p>
</sec>
<sec id="s2-17">
<title>RNA sequencing</title>
<p>HCCLM3 cells were treated with Donafenib and/or Alisertib for 48 h. Total RNA was extracted using Trizol reagent from Invitrogen Life Technologies, following the manufacturer&#x2019;s instructions. Sequencing libraries were constructed according to standardized protocols and subsequently subjected to high-throughput sequencing on the Illumina NovaSeq 6,000 platform, operated by Novogene Co., Ltd., China.</p>
</sec>
<sec id="s2-18">
<title>Bioinformatics analysis</title>
<p>Differentially expressed genes (DEGs) were identified from transcriptomic data collected from drug-treated HCC tissues, as well as from adjacent non-tumorous samples, using information sourced from The Cancer Genome Atlas (TCGA). The analytical process was conducted using the R package DESeq2, which is well-regarded for its robustness in comparing gene expression levels across different conditions. Subsequently, we conducted Gene Set Enrichment Analysis (GSEA) (<xref ref-type="bibr" rid="B30">Subramanian et al., 2005</xref>) and single-sample Gene Set Enrichment Analysis (ssGSEA) (<xref ref-type="bibr" rid="B12">H&#xe4;nzelmann et al., 2013</xref>) to evaluate the enrichment of specific biological pathways. This analytical approach was instrumental in illuminating the biological significance of our findings, allowing us to gain deeper insights into the underlying mechanisms associated with the differentially expressed genes identified in our study.</p>
</sec>
<sec id="s2-19">
<title>Dual-luciferase reporter assay</title>
<p>HEK293T cells were seeded in 24-well plates at 70%&#x2013;90% confluency and transfected in Opti-MEM medium with a total of 0.5 &#x3bc;g of NFE2L2 firefly luciferase reporter plasmid, 0.5 &#x3bc;g of RELA overexpression plasmid (or an empty vector control), and 0.02 &#x3bc;g of pRL-TK Renilla luciferase internal control plasmid using Lipofectamine 3000. After 6 h, the medium was replaced with complete DMEM containing 10% FBS. Cells were harvested 24 h post-transfection for luciferase activity measurement using the Dual-Luciferase Reporter Assay System (Promega). Firefly luciferase activity was normalized to Renilla luciferase values to facilitate data analysis.</p>
</sec>
<sec id="s2-20">
<title>Chromatin immunoprecipitation (ChIP) assay</title>
<p>The ChIP assay was performed using the ChIP-IT&#xae; Express Enzymatic Kit (Active Motif, United States) with the ChIP-IT&#xae; Control Kit&#x2014;Human to ensure experimental validity. Briefly, cells were crosslinked with 1% formaldehyde, lysed, and enzymatically sheared to generate DNA fragments (200&#x2013;1,500 bp). Chromatin complexes were immunoprecipitated with anti-NF-&#x3ba;B/p65 antibody or control rabbit IgG, followed by qPCR analysis using specific primers targeting the &#x3ba;B1 (&#x2212;820) and &#x3ba;B2 (&#x2212;220) sites: &#x3ba;B1 forward 5&#x2032;-TGCACTCGGTAATCGGCTACA-3&#x2032;, reverse 5&#x2032;-GGGAGCTAACGGAGACCT-3&#x2019;; &#x3ba;B2 forward 5&#x2032;-ACTCCCACGTGTCTCCATTC-3&#x2032;, reverse 5&#x2032;-CGATTACAGCATGTTGTGGTATT-3&#x2019;.</p>
</sec>
<sec id="s2-21">
<title>Xenograft mouse tumor model</title>
<p>All animal care and experimental procedures were approved by the Comparative Medicine Center of the Eastern Theater General Hospital, strictly adhering to the International Guiding Principles for Animal Research. The study involved female BALB/c mice, aged 5&#x2013;6 weeks, sourced from GemPharmatech, China. To establish a tumor model, HCCLM3 cell lines were cultured in the logarithmic growth phase, and approximately 5 &#xd7; 10<sup>6</sup> cells were subcutaneously injected into the right anterior axilla of each mouse. Once tumors reached an estimated volume of 100 mm<sup>3</sup> (calculated using V &#x3d; &#xbd; ab<sup>2</sup>, where &#x2018;a&#x2019; is the longest diameter and &#x2018;b&#x2019; is the shortest), treatment began.</p>
</sec>
<sec id="s2-22">
<title>Statistical analysis</title>
<p>Data analysis and visualization were conducted using R software (version 4.2.1) alongside GraphPad Prism 9.0 (version 9.5.1). Numerical results are presented as mean &#xb1; standard deviation (SD). Statistical significance was evaluated using t-tests, unpaired t-tests, and one-way analysis of variance (ANOVA), with equal variances confirmed. To enhance reliability, all analyses included biological replicates performed in triplicate. Statistical significance thresholds were set at &#x2a;P &#x3c; 0.05; &#x2a;&#x2a;P &#x3c; 0.01; &#x2a;&#x2a;&#x2a;P &#x3c; 0.001; and &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Alisertib at low dose enhances Donafenib&#x2019;s cytotoxicity against HCC cells</title>
<p>
<italic>In vitro</italic> experiments demonstrated that Alisertib synergistically enhances the cytotoxicity of Donafenib against HCC cells. The molecular structures of Donafenib and Alisertib are shown in <xref ref-type="fig" rid="F1">Figures 1A,B</xref>. Initial biological assessments were performed using the CCK-8 assay on HCCLM3 cells, generating dose-response curves (<xref ref-type="fig" rid="F1">Figure 1C</xref>), with a parallel analysis on the Huh7 cell line (<xref ref-type="fig" rid="F1">Figure 1D</xref>). Both drugs exhibited concentration-dependent anti-proliferative effects, and IC<sub>50</sub> values were calculated as illustrated in <xref ref-type="fig" rid="F1">Figures 1C,D</xref>. Based IC<sub>50</sub> values, we established a concentration gradient and cellular viability matrix to compute drug ZIP synergy scores using the online SynergyFinder software (<xref ref-type="fig" rid="F1">Figures 1E,F</xref>). The average synergy scores were 14.15 for HCCLM3 cells and 12.83 for Huh7 cells, with peak synergy regions marked by white dashed boxes achieving scores of 26.09 and 30.37, respectively. ZIP scores above 10 indicate a strong synergistic effect in inhibiting tumor proliferation. In the peak synergy region, a concentration of 2.5 &#xb5;M for Alisertib was identified as the optimal dose. To determine the optimal Dosage of Donafenib, we assessed cellular viability (<xref ref-type="fig" rid="F1">Figure 1G</xref>) and colony-forming efficacy (<xref ref-type="fig" rid="F1">Figures 1H,I</xref>) across various treatment regimens. Optimal concentrations were established at 10 &#xb5;M for HCCLM3 cells and 5 &#xb5;M for Huh7 cells, both showing significant anti-proliferative effects (p &#x3c; 0.05). After 72 h of combined treatment, we observed a marked reduction in growth rates for both cell lines (<xref ref-type="fig" rid="F1">Figure 1J</xref>, P &#x3c; 0.001). These findings indicate that Alisertib, at concentrations well below its IC<sub>50</sub>, significantly enhances the cytotoxic effects of Donafenib in HCC cells.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<italic>In Vitro</italic> Assessment of the Synergistic Cytotoxicity of Alisertib and Donafenib in HCC Cells. <bold>(A,B)</bold> The molecular 3D and 2D structures of Donafenib (DFN) and Alisertib (Alis). <bold>(C,D)</bold> A dose-response analysis was conducted to evaluate the effects of Donafenib and Alisertib on HCCLM3 and Huh7 cells. <bold>(E,F)</bold> Heatmaps illustrating the response of HCCLM3 and Huh7 cells to different concentrations of Donafenib and Alisertib. To further identify the optimal dosage of Donafenib, additional experiments assessing cell viability <bold>(G)</bold> and clonogenicity <bold>(H,I)</bold>. <bold>(J)</bold> The relative cell viability of HCCLM3 and Huh7 cells within 72 h. (n &#x3d; 3, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g001.tif">
<alt-text content-type="machine-generated">Chemical structures, graphs, and charts show the effects of Donafenib (DFN) and Alisertib (Alis) on cell viability in HCCLM3 and Huh7 cell lines. Panels A and B depict molecular structures of DFN and Alis. Panels C and D exhibit dose-response curves, indicating IC50 values for HCCLM3 and Huh7. Panels E and F display synergy heatmaps with ZIP synergy scores of 14.154 and 12.832, respectively. Panels H and I show colony formation assays at different concentrations, with histograms indicating significant reduction in colony numbers. Panel G illustrates combined treatment effects on cell viability. Panel J tracks cell viability over time, highlighting treatment efficacy with statistical significance indicated by asterisks.</alt-text>
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<sec id="s3-2">
<title>Combination of Donafenib and Alisertib synergistically induces ferroptosis-driven cell death in HCC</title>
<p>The combination of Donafenib and Alisertib significantly enhances the sensitivity of hepatocellular carcinoma (HCC) cells to Donafenib, resulting in reduced cell proliferation and viability. Flow cytometry analyses demonstrated that co-treatment with Donafenib and Alisertib substantially increased the percentage of Annexin-V &#x2b; PI &#x2b; cells in the HCCLM3 and Huh7 cell lines (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>). To elucidate the mechanisms underlying this cell death, we utilized various inhibitors to assess cell viability (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>; <xref ref-type="sec" rid="s14">Supplementary Figure S1</xref>). Inhibitors of autophagy (3-MA), necroptosis (Nec-1), and pyroptosis (VX-765) did not reverse cell death. Conversely, Z-VAD-FMK, an apoptosis inhibitor, slightly mitigated cell death, while Ferrostatin-1 (Fer-1; 10 &#xb5;M), a ferroptosis inhibitor, significantly restored cell viability compromised by the drug combination (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>). These findings suggest that ferroptosis is the primary mode of cell death.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Alisertib and Donafenib induced cell death of HCC cells mainly through ferroptosis. <bold>(A,B)</bold> Quantitative analysis of cell death induced by Donafenib and/or Alisertib by flow cytometry. <bold>(C,D)</bold> Cell viability percentages following treatment with Donafenib and/or Alisertib combined with the ferroptosis inhibitor Fer-1 (10 &#x3bc;M) for 48 h <bold>(E,F)</bold> Relative lipid ROS levels were measured via BODIPY-C11 fluorescence. <bold>(G,H)</bold> Assessment of total iron content, malondialdehyde (MDA), and glutathione (GSH/GSSH) levels. <bold>(I,J)</bold> Relative cytosolic ROS levels were quantified using DCFH-DA fluorescence. <bold>(K)</bold> TEM of HCCLM3 treated with Donafenib and/or Alisertib for 24 h <bold>(L, M)</bold> Protein expressions of xCT, GPX4, and NRF2 were evaluated and quantified through Western blotting and qPCR. (n &#x3d; 3, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g002.tif">
<alt-text content-type="machine-generated">Scientific image comprising several panels displaying experimental data from two cell lines, HCCLM3 and Huh7. Panels A and B show flow cytometry plots indicating apoptosis with Annexin-V and PI staining for treatments with different concentrations of DFN and Alis. Panels C and D exhibit bar charts of cell viability under various treatment conditions. Panels E and F present fluorescence microscopy images revealing oxidative stress with relative fluorescence density quantified. Panels G and H depict bar graphs for total iron, MDA, and GSH/GSSH contents. Panels I and J illustrate histograms for ROS levels. Panel K features electron microscopy images of cellular ultrastructure. Panel L displays Western blot results for protein expression. Panel M shows bar charts for relative mRNA expression levels.</alt-text>
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<p>Furthermore, co-treatment led to a significant accumulation of reactive oxygen species (ROS), which was effectively inhibited by Fer-1 (<xref ref-type="fig" rid="F2">Figures 2E,F</xref>). Notably, levels of total iron and malondialdehyde (MDA) were upregulated, whereas glutathione was downregulated in the combination treatment group (<xref ref-type="fig" rid="F2">Figures 2G,H</xref>). DCFH-DA fluorescence analysis revealed a marked increase in intracellular ROS levels following co-treatment (<xref ref-type="fig" rid="F2">Figures 2I,J</xref>). Transmission electron microscopy (TEM) further illustrated mitochondrial shrinkage, loss of cristae, and increased electron density in membranes, all characteristic of ferroptosis (<xref ref-type="fig" rid="F2">Figure 2K</xref>) (<xref ref-type="bibr" rid="B5">Dixon et al., 2012</xref>). Additionally, we observed significant downregulation of key ferroptotic defense molecules, including xCT, GPX4, and NRF2 pathways, indicating a diminished anti-ferroptotic response in the combined treatment group (<xref ref-type="fig" rid="F2">Figures 2L,M</xref>). In brief, our findings establish that the synergistic application of Alisertib and Donafenib effectively induces ferroptosis in HCC cells, underscoring a promising therapeutic strategy for HCC.</p>
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<sec id="s3-3">
<title>The synergistic effect of Alisertib and Donafenib on ferroptosis in HCC cells mediated by the NF-&#x3ba;B signaling pathway</title>
<p>To explore the effects of Donafenib and Alisertib on ferroptosis induction in HCC cells, we performed RNA sequencing to identify differentially expressed genes (DEGs) in HCCLM3 cells treated with each agent alone and in combination. The principal component analysis (PCA) revealed strong intra-group consistency and significant inter-group differentiation (<xref ref-type="fig" rid="F3">Figure 3A</xref>). This strongly suggests that the different treatment regimens considerably altered the global gene expression profiles of the cells.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The Synergistic Effect of Alisertib and Donafenib on Ferroptosis in Hepatocellular Carcinoma Cells Mediated by the NF-&#x3ba;B Signaling Pathway. <bold>(A)</bold> PCA analysis of sequencing samples from HCCLM3 cells. <bold>(B)</bold> Upset plot illustrates the DEGs (p &#x3c; 0.05, &#x7c;log<sub>2</sub>FC&#x7c;&#x3e;1) across treatment groups. <bold>(C)</bold> Volcano plot highlights DEGs significantly in 1555 genes (p &#x3c; 0.05, &#x7c;log2FC&#x7c;&#x3e;2). <bold>(D)</bold> KEGG enriched pathways in synergy. <bold>(E)</bold> Heatmap for PCD scores across HCCLM3. <bold>(F)</bold> Enrichment scores for PCD in TCGA LIHC samples. <bold>(G)</bold> Correlation between ferroptosis scores and the NF-&#x3ba;B signaling pathway across 33 tumor types in TCGA and <bold>(H)</bold> in LIHC from TCGA. <bold>(I)</bold> NF-&#x3ba;B signaling molecules (p65, I&#x3ba;B&#x3b1;, p-p65, p-I&#x3ba;B&#x3b1;) with quantitative analyses for <bold>(K)</bold> p65, <bold>(L)</bold> I&#x3ba;B&#x3b1;, <bold>(M)</bold> p-p65, <bold>(N)</bold> p-I&#x3ba;B&#x3b1;, and <bold>(O)</bold> ratios of p-p65/p65 and <bold>(P)</bold> p-IkBa/IkBa. <bold>(J)</bold> cytoplasmic and nuclear p65 expression, including quantitative results for <bold>(Q)</bold> cytoplasmic p65 and <bold>(R)</bold> nuclear p65. <bold>(S, T)</bold> p65 nuclear translocation in HCCLM3 and Huh7 cells. (n &#x3d; 3, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g003.tif">
<alt-text content-type="machine-generated">A collection of scientific data visualizations and experimental results related to cell death and gene expression studies. The figures include a principal component analysis plot (A), a bar graph depicting differentially expressed genes (B), a volcano plot illustrating gene expression changes (C), KEGG pathway analysis (D), and GSVA scores for various cell death types (E,F). Additional data show pathway correlations in tumors (G) and ferroptosis analysis (H). Western blot images (I,J) and corresponding bar graphs (K-R) reveal protein expression levels in different conditions. Confocal microscopy images (S,T) display cellular localization of proteins with DAPI and p65 staining.</alt-text>
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<p>In the combination group, we identified 1,555 differentially expressed genes (DEGs) excluding genes from individual treatments (p &#x3c; 0.05, &#x7c;log<sub>2</sub>FC&#x7c;&#x3e;1, <xref ref-type="fig" rid="F3">Figure 3B</xref>; <xref ref-type="sec" rid="s14">Supplementary Figure S2</xref>). The volcano plot highlighted significantly regulated genes in the combination group (&#x7c;log<sub>2</sub>FC&#x7c; &#x3e; 2, p &#x3c; 0.05, <xref ref-type="fig" rid="F3">Figure 3C</xref>). KEGG enrichment analysis revealed significant enhancement in pathways related to reactive oxygen species metabolism, glutathione metabolism, and the pentose phosphate pathway (<xref ref-type="fig" rid="F3">Figure 3D</xref>), suggesting a close connection to the regulatory mechanisms of ferroptosis (<xref ref-type="bibr" rid="B38">Yao et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Liang et al., 2022</xref>). Quantitative assessment of ferroptosis-related pathways employed ssGSEA scoring with five established programmed cell death (PCD) gene sets (<xref ref-type="fig" rid="F3">Figure 3E</xref>) (<xref ref-type="bibr" rid="B20">Liu et al., 2022</xref>). Ferroptosis scores showed maximal activation in the combination group versus monotherapies (p &#x3c; 0.05), while apoptosis remained minimally active across treatments. TCGA validation (n &#x3d; 371 LIHC) confirmed ferroptosis as the dominant PCD mechanism (<xref ref-type="fig" rid="F3">Figure 3F</xref>). Pan-cancer analysis (33 tumor types) revealed NF-&#x3ba;B pathway&#x2019;s universal correlation with ferroptosis, particularly in HCC (LIHC: r &#x3d; 0.489, p &#x3c; 0.05; <xref ref-type="fig" rid="F3">Figures 3G,H</xref>) (<xref ref-type="bibr" rid="B11">Guo et al., 2023</xref>). Western blot analyses revealed significantly reduced phosphorylation of both p-p65 (<xref ref-type="fig" rid="F3">Figures 3I,M</xref>) and pI&#x3ba;B&#x3b1; (<xref ref-type="fig" rid="F3">Figure 3N</xref>) in the combination therapy group versus single-agent treatments. Total p65 levels remained stable across groups (<xref ref-type="fig" rid="F3">Figure 3K</xref>), while I&#x3ba;B&#x3b1; protein demonstrated marked elevation in the combination cohort (<xref ref-type="fig" rid="F3">Figure 3L</xref>). Both p-p65/p65 and pI&#x3ba;B&#x3b1;/I&#x3ba;B&#x3b1; ratios exhibited significant reductions (<xref ref-type="fig" rid="F3">Figures 3O,P</xref>). Subcellular localization analysis showed cytoplasmic accumulation alongside nuclear depletion of p65 in combination-treated cells (<xref ref-type="fig" rid="F3">Figures 3J,Q,R</xref>). Immunofluorescence validation confirmed potent suppression of p65 nuclear translocation (<xref ref-type="fig" rid="F3">Figures 3S,T</xref>). Collectively, the Donafenib-Alisertib combination suppresses NF-&#x3ba;B signaling by inhibiting p65 activation and nuclear translocation while stabilizing I&#x3ba;B&#x3b1;, mechanistically driving ferroptosis in HCC.</p>
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<sec id="s3-4">
<title>
<italic>In Vivo</italic> efficacy of Donafenib-Alisertib combination in HCCLM3 xenografts</title>
<p>Subcutaneous HCCLM3 xenograft models were established to assess the antitumor effects of Donafenib (30 mg/kg) combined with Alisertib (30 mg/kg). Tumor-bearing mice (baseline volume: 100 mm<sup>3</sup>) received monotherapy or combination therapy (<xref ref-type="fig" rid="F4">Figure 4A</xref>). The combination group demonstrated significantly reduced tumor volume compared to monotherapy groups (<xref ref-type="fig" rid="F4">Figures 4B,D</xref>) and suppressed tumor growth relative to controls (<xref ref-type="fig" rid="F4">Figure 4C</xref>). Body weights remained stable across all groups (p &#x3e; 0.05, <xref ref-type="fig" rid="F4">Figure 4E</xref>). Tumors from the combination group exhibited elevated 4HNE immunostaining (<xref ref-type="fig" rid="F4">Figure 4F</xref>), indicating enhanced lipid peroxidation. H&#x26;E staining confirmed increased tumor necrosis, while Ki-67 staining revealed reduced proliferation. Consistent with <italic>in vitro</italic> findings, p-p65 immunostaining showed decreased NF-&#x3ba;B activation in the combination group.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Combined Donafenib and Alisertib therapy suppresses tumor growth. <bold>(A)</bold> Experimental design for xenograft model. <bold>(B)</bold> Representative tumors post-treatment. <bold>(C)</bold> Final tumor weights. <bold>(D)</bold> Tumor growth curves. <bold>(E)</bold> Body weights. <bold>(F)</bold> H&#x26;E (necrosis), 4HNE (lipid peroxidation), Ki-67 (proliferation), p-p65 (phospho-p65) staining. (n &#x3d; 5, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g004.tif">
<alt-text content-type="machine-generated">Diagram and charts depicting a cell line-derived xenograft mouse model with treatments, tumor growth, and body weight data. Panel A shows the experimental setup. Panel B displays tumors of varying sizes from different treatment groups. Panel C is a bar graph of tumor mass, while Panel D illustrates tumor volume growth over time. Panel E is a line graph of body weight changes. Panel F presents histological images with H&#x26;E staining and markers Ki-67, 4HNE, and p-p65 across treatment conditions. Control, DFN, Alis, and DFN&#x2b;Alis groups are compared.</alt-text>
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<sec id="s3-5">
<title>PMA restores NF-&#x3ba;B signaling to reverse ferroptosis induced by Donafenib and Alisertib</title>
<p>Co-treatment with the NF-&#x3ba;B activator PMA (100 nM, 24 h) rescued NF-&#x3ba;B pathway inhibition caused by Donafenib and Alisertib in HCCLM3 and Huh7 cells. Western blot analysis showed PMA increased phosphorylation of p65 and I&#x3ba;B&#x3b1; while reducing total I&#x3ba;B&#x3b1; levels (<xref ref-type="fig" rid="F5">Figures 5A&#x2013;E</xref>), confirming restoration of NF-&#x3ba;B activity that reversed drug-induced blockade of p65 nuclear translocation and I&#x3ba;B&#x3b1; degradation.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>PMA restores NF-&#x3ba;B signaling to reverse ferroptosis induced by Donafenib and Alisertib. <bold>(A&#x2013;E)</bold> Representative Western blot analysis of NF-&#x3ba;B signaling activation. <bold>(F,G)</bold> Measurement of relative cytosolic reactive oxygen species (ROS) levels. <bold>(H,I)</bold> Assessment of lipid ROS levels. <bold>(J)</bold> Western blot analysis of ferroptosis-related proteins. <bold>(K&#x2013;M)</bold> qPCR analysis of xCT, GPX4, and NRF2 expression levels. <bold>(N,O)</bold> Relative levels of total iron content, malondialdehyde (MDA), and GSH/GSSG ratio. <bold>(P,Q)</bold> Evaluation of cell viability. <bold>(R,S)</bold> Assessment of proliferative capacity. <bold>(T,U)</bold> Analysis of colony formation ability. (n &#x3d; 3, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g005.tif">
<alt-text content-type="machine-generated">Scientific illustration showing multiple panels of experimental data on liver cancer cell lines HCCLM3 and Huh7. Panels A and J display Western blot results for proteins including p65, I&#x3BA;B&#x3B1;, and xCT. Panels B to E and K to M depict bar graphs for relative expression levels of these proteins. Panels F and G show flow cytometry results for reactive oxygen species (ROS). Panels H and I display fluorescence images highlighting oxidative stress. Panels N and O present bar graphs for total iron, MDA, and GSH/GSSH content. Panels P to U include bar graphs and images of cell viability, proliferation, and colony formation. Each panel highlights differences among treatment groups: DFN, DFN &#x2b; Alis, DFN &#x2b; PMA, and DFN &#x2b; Alis &#x2b; PMA. Scale bars are noted where relevant.</alt-text>
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<p>The ferroptosis phenotype was systematically reversed by PMA: Both cytosolic ROS (DCFH-DA assay) and lipid ROS (BODIPY-C11) levels decreased significantly (<xref ref-type="fig" rid="F5">Figures 5F&#x2013;I</xref>), with concurrent upregulation of ferroptosis defense proteins xCT, GPX4, and NRF2 (<xref ref-type="fig" rid="F5">Figures 5J&#x2013;M</xref>). PMA also reduced total iron content and malondialdehyde (MDA) levels while increasing the GSH/GSSG ratio (<xref ref-type="fig" rid="F5">Figures 5N,O</xref>). Functionally, PMA restored cell viability (<xref ref-type="fig" rid="F5">Figures 5P,Q</xref>), increased EdU &#x2b; proliferating cells (<xref ref-type="fig" rid="F5">Figures 5R,S</xref>), and enhanced colony formation capacity (<xref ref-type="fig" rid="F5">Figures 5T,U</xref>). Therefore, Pharmacological NF-&#x3ba;B reactivation via PMA counteracted the pro-ferroptotic synergy effects of Donafenib and Alisertib, demonstrating that synergistic ferroptosis induction by these agents requires NF-&#x3ba;B pathway inhibition.</p>
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<sec id="s3-6">
<title>Donafenib and Alisertib synergistically block NRF2 transcription through NF-&#x3ba;b/p65</title>
<p>To better understand the mechanisms behind the synergistic effects of donafenib and alisertib on HCC, we conducted a detailed analysis of the top 50 differentially expressed genes (DEGs) identified from RNA sequencing data, focusing specifically on ferroptosis-related markers. Notably, we found that NRF2 expression was significantly downregulated after combination therapy, which is closely linked to the induction of ferroptosis (<xref ref-type="fig" rid="F6">Figure 6A</xref>). Additionally, GPX4, a key enzyme involved in NRF2-regulated glutathione (GSH) synthesis, showed altered expression, indicating a reduced capacity for cellular antioxidant defense (<xref ref-type="bibr" rid="B3">Anandhan et al., 2020</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Donafenib and Alisertib synergistically Block NRF2 Transcription through NF-&#x3ba;B/p65 <bold>(A)</bold>. Heatmap of the top 50 DEGs in synergy. <bold>(B)</bold> Correlation analysis of NRF2 and RELA from TCGA dataset. <bold>(C,D)</bold> qPCR analysis of NRF2 in HCC cell lines. <bold>(E)</bold> Representative Western blot of NRF2 expression in RELA-overexpressing cells treated with Donafenib alone or in combination with Alisertib. <bold>(F)</bold> Relative luciferase activity in 293T cells treated with Donafenib alone or in combination with Alisertib. <bold>(G)</bold> Schematic representation of the Nrf2 promoter constructs. <bold>(H,I)</bold> ChIP-qPCR results illustrating the enrichment of the NRF2 promoter at the kB1 and kB2 sites. (n &#x3d; 3, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g006.tif">
<alt-text content-type="machine-generated">A composite image of scientific figures illustrates various data analyses. Panel A is a heatmap showing gene expression with control and treatment groups. Panel B is a scatter plot of log2-transformed RNA expression data, indicating a correlation with an R-value of 0.5. Panels C and D compare relative mRNA levels in two cell lines. Panel E displays Western blot results for proteins p65, NRF2, and GAPDH. Panel F shows a schematic of an NF-&#x3BA;B luciferase reporter and bar graph of luciferase activity. Panel G presents a DNA binding motif and gene map. Panels H and I contain bar graphs of kB sites&#x2019; input percentages. Statistical significance is noted with asterisks.</alt-text>
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<p>Given that NRF2 is transcriptionally activated by RELA/NF-&#x3ba;B (<xref ref-type="bibr" rid="B27">Rushworth et al., 2012</xref>; <xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>), we performed a correlation analysis using data from the TCGA-HCC dataset. This analysis revealed a significant positive correlation between the mRNA levels of NRF2 and RELA (NF-&#x3ba;B/p65) (<xref ref-type="fig" rid="F6">Figure 6B</xref>), suggesting an interplay between the NRF2 and NF-&#x3ba;B signaling pathways in the context of ferroptosis. To further validate this interaction, we overexpressed RELA in HCC cell lines and evaluated its impact on ferroptosis-related gene expression through qPCR and Western blot analyses. Notably, the upregulation of NRF2 correlated with RELA induction, an effect that was significantly reduced in the presence of the drug combination (<xref ref-type="fig" rid="F6">Figures 6C&#x2013;E</xref>). Subsequent mechanistic studies using dual-luciferase reporter assays confirmed that p65 directly regulates NRF2 promoter activity (<xref ref-type="fig" rid="F6">Figure 6F</xref>). Additionally, chromatin immunoprecipitation (ChIP) assays (<xref ref-type="fig" rid="F6">Figure 6G</xref>) showed that combination treatment significantly decreased RELA/NF-&#x3ba;B occupancy at the NRF2 promoter in HCC cells, particularly at the kB2 site (<xref ref-type="fig" rid="F6">Figures 6H,I</xref>), providing direct evidence of transcriptional regulation. Collectively, these findings underscore the critical role of the NF-&#x3ba;B/NRF2 axis in regulating ferroptosis, highlighting its potential as a promising therapeutic target in HCC.</p>
</sec>
<sec id="s3-7">
<title>
<italic>In Vivo</italic> rescue of antitumor efficacy in combination therapy mediated by NF-&#x3ba;B pathway activation</title>
<p>To further investigate the role of the NF-&#x3ba;B signaling cascade in mediating the synergistic effects of this combination treatment, we conducted rescue experiments using PMA (300 &#x3bc;g/kg) in mice with subcutaneously implanted tumors. These mice were treated either with Donafenib monotherapy or with Donafenib in combination with Alisertib, as shown in <xref ref-type="fig" rid="F7">Figure 7A</xref>. The results demonstrated that the antitumor efficacy observed in both the Donafenib and combination treatment groups was significantly reversed following PMA exposure (<xref ref-type="fig" rid="F7">Figure 7B</xref>). Specifically, PMA administration led to a substantial increase in tumor volume in both treatment regimens, highlighting a marked reduction in the synergistic antitumor effects (<xref ref-type="fig" rid="F7">Figures 7C,D</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>The antitumor effects of Alisertib in synergy with Donafenib are reinstated <italic>in vivo</italic> via the activation of the NF-&#x3ba;B signaling pathway. <bold>(A)</bold> Treatment protocol for subcutaneously implanted tumor-bearing mice. <bold>(B)</bold> Images of tumors excised from different treatment groups. <bold>(C)</bold> Tumor weight comparison, <bold>(D)</bold> tumor volume, and <bold>(E)</bold> body weight across mouse cohorts. <bold>(F)</bold> Histopathological evaluation via HE staining. (n &#x3d; 5, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g007.tif">
<alt-text content-type="machine-generated">Diagram depicting a cell line-derived xenograft mouse model study. A shows the experimental setup with tumor cell implantation and drug treatments in mice. B presents extracted tumors with a scale for comparison. C is a bar graph of tumor masses showing significant differences among groups. D is a line graph indicating tumor volumes over days after treatment, highlighting the effects of different drug combinations. E shows a line graph of body weight over time with minimal differences. F displays histological images of tumor tissue sections under different treatments.</alt-text>
</graphic>
</fig>
<p>Body weight measurements across the groups showed no statistically significant differences, indicating an acceptable tolerance profile (<xref ref-type="fig" rid="F7">Figure 7E</xref>). Furthermore, histopathological analysis revealed that PMA treatment resulted in a significant decrease in the necrotic rate within the tumor tissue (<xref ref-type="fig" rid="F7">Figure 7F</xref>). Collectively, these <italic>in vivo</italic> rescue experiments suggest that the efficacy of the combination therapy heavily relies on the inhibition of NF-&#x3ba;B signaling pathway activity to facilitate ferroptosis. The sensitization of HCC cells to Donafenib by Alisertib may pave the way for novel therapeutic strategies in the treatment of HCC.</p>
</sec>
<sec id="s3-8">
<title>
<italic>In Vivo</italic> toxicity analysis</title>
<p>The systemic toxicity of the different treatment groups was evaluated through monitoring body weight changes and assessing the histopathological integrity of major organs in nude mice. Over time, all treatment groups exhibited an increase in body weight, attributed to tumor enlargement. Importantly, our findings indicated that neither Donafenib administered alone nor the combination of Donafenib with Alisertib resulted in significant weight loss, and intergroup differences were not statistically significant. This suggests that the dosages of Donafenib and Alisertib utilized in our study are within a safe range. Furthermore, we conducted thorough dissection, weighing, and H&#x26;E staining of the principal organs of the mice to evaluate any potential adverse effects. As depicted in <xref ref-type="fig" rid="F8">Figures 8A&#x2013;E</xref>, we calculated organ indices using the formula: Organ Index (%) &#x3d; [(Organ Weight)/(Body Weight of Mouse)] &#xd7; 100%. Optical microscopy was utilized to examine and capture images of the organ sections, as illustrated in <xref ref-type="fig" rid="F8">Figure 8F</xref>. The findings revealed normal structural morphology of the major organs, devoid of any discernible pathological changes, indicating that the administered drugs did not elicit systemic toxicity. Additionally, we performed biochemical analyses on blood samples collected from the orbital sinus of the mice, as illustrated in <xref ref-type="fig" rid="F8">Figures 8G&#x2013;J</xref>. The serum levels of ALT, AST, CREA, and BUN remained within normal reference ranges, indicating that hepatic and renal functions were unaffected by the treatments. Collectively, these findings substantiate the robust safety profile of our therapeutic regimen.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Evaluation of <italic>in vivo</italic> toxicity profiles. Organ index, including <bold>(A)</bold> lung, <bold>(B)</bold> liver, <bold>(C)</bold> spleen, <bold>(D)</bold> kidney, and <bold>(E)</bold> heart, were meticulously evaluated at the end of the <italic>in vivo</italic> experiment. <bold>(F)</bold> HE staining was performed to examine the histopathological characteristics of the organs in nude mice. Assessments of systemic hepatic and renal function included measurements of <bold>(G)</bold> alanine aminotransferase (ALT), <bold>(H)</bold> aspartate aminotransferase (AST), <bold>(I)</bold> creatinine (Cr), and <bold>(J)</bold> blood urea nitrogen (BUN). (n &#x3d; 5, &#x2a;P &#x3c; 0.05, &#x2a;&#x2a;P &#x3c; 0.01, &#x2a;&#x2a;&#x2a;P &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;P &#x3c; 0.0001, ns, non-significant; DFN, Donafenib; Alis, Alisertib).</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g008.tif">
<alt-text content-type="machine-generated">Bar graphs (A to E) compare lung, liver, spleen, kidney, and heart indices for control, DFN, Alis, and DFN&#x2b;Alis groups. Panel F shows histological slides of these organs, arranged by treatment. Violin plots (G to J) display ALT, AST, BUN, and CREA levels, indicating normal or abnormal ranges across the same groups.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>HCC is recognized as one of the most widespread cancers globally. There have been major advancements in targeted treatments for HCC, starting with the launch of sorafenib, the inaugural small-molecule targeted anti-cancer drug (<xref ref-type="bibr" rid="B21">Llovet et al., 2008</xref>). Following this breakthrough, additional therapies such as Lenvatinib (<xref ref-type="bibr" rid="B14">Kudo et al., 2018</xref>), regorafenib (<xref ref-type="bibr" rid="B4">Bruix et al., 2017</xref>), and Donafenib (<xref ref-type="bibr" rid="B24">Qin et al., 2021</xref>) have come into play. However, despite these developments, Lenvatinib and regorafenib have not demonstrated significant enhancements in patient survival rates. In contrast, Donafenib appears to provide a modest benefit compared to sorafenib, with an increase in overall survival of around 1.8 months. Nevertheless, targeted therapies for HCC encounter considerable hurdles owing to prevalent mutations, including those in the TERT promoter and TP53, which complicate therapeutic targeting (<xref ref-type="bibr" rid="B44">Zheng C. et al., 2023</xref>; <xref ref-type="bibr" rid="B35">Wang et al., 2018</xref>). This scenario emphasizes the critical need for novel treatment approaches.</p>
<p>In our investigation, we assessed the impact of the Aurora-A kinase inhibitor Alisertib alongside Donafenib on HCC, focusing on the mechanisms that facilitate their synergistic induction of ferroptosis in the HCCLM3 and Huh7 cells, as well as in subcutaneous xenograft models. Additionally, a comprehensive analysis of transcriptome sequencing data revealed that the combination therapy significantly reduces NF-&#x3ba;B signaling pathway activity, which is pivotal in tumor growth and cellular survival. The combination of Alisertib and Donafenib specifically inhibits p65 nuclear translocation and I&#x3ba;B&#x3b1; degradation, preventing NRF2 transcription associated with ferroptosis defense and enhancing ferroptosis-driven cytotoxicity (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Mechanistic overview of cytotoxicity induced by the synergistic interaction of donafenib and alisertib.</p>
</caption>
<graphic xlink:href="fcell-13-1637767-g009.tif">
<alt-text content-type="machine-generated">Diagram illustrating pre-administration and post-administration pathways of antitumor drug treatment within a cell. Before treatment, I&#x3BA;B is phosphorylated, leading to its degradation and activation of p65/P50 that translocates to the nucleus, promoting NRF2 and anti-ferroptosis. Post-treatment with Alisertib and Donafenib, the pathway displays different interactions with p65/P50 complexes.</alt-text>
</graphic>
</fig>
<p>Since the introduction of the ferroptosis concept, therapeutic strategies aimed at harnessing this process to effectively eliminate tumors have been increasingly proposed by researchers (<xref ref-type="bibr" rid="B26">Ru et al., 2024</xref>; <xref ref-type="bibr" rid="B16">Lei et al., 2022</xref>). These approaches consist of reversing radioresistance, improving the sensitivity of molecular-targeted therapies, and enhancing responses to immunotherapy (<xref ref-type="bibr" rid="B25">Roh et al., 2016</xref>; <xref ref-type="bibr" rid="B15">Lei et al., 2020</xref>; <xref ref-type="bibr" rid="B22">Louandre et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Zhao L. et al., 2022</xref>). Preclinical research has demonstrated that combining Donafenib with GSK-J4, a histone demethylase KDM6A/B inhibitor, produces a synergistic lethality effect in HCC across various models, including cellular systems, organoids, and subcutaneous xenografts derived from patients and mutant mouse models (<xref ref-type="bibr" rid="B44">Zheng C. et al., 2023</xref>). This synergistic effect occurs due to the disruption of intracellular Fe<sup>2&#x2b;</sup> levels, which leads to ferroptosis. Aligning with these results, our investigation noted a significant reduction in both short-term cell viability and long-term clonogenic capability after treating with a combination of Alisertib and Donafenib at safe doses. Moreover, the cytotoxicity from this combination was effectively prevented by the ferroptosis inhibitor Fer-1, supporting the observed accumulation of reactive oxygen species (ROS), lipid peroxides, Fe<sup>2&#x2b;</sup> ions, and a drop in GSH/GSSH ratios, which are characteristic indicators of ferroptosis (<xref ref-type="bibr" rid="B31">Tang and Kroemer, 2020</xref>). This underscores the potential of ferroptosis as a novel therapeutic strategy for treating HCC.</p>
<p>Recent research has placed significant emphasis on the potential applications of Aurora-A kinase inhibitors in treating a variety of malignancies. Notably, results from phase III clinical trials in lymphoma have illustrated efficacy of Alisertib, thus paving the way for further clinical translation and exploration (<xref ref-type="bibr" rid="B49">Zhou et al., 2024</xref>; <xref ref-type="bibr" rid="B23">O&#x27;Connor et al., 2019</xref>). Building on the established understanding of how aberrantly expressed Aurora-A contributes to oncogenesis through its involvement in crucial mitotic processes&#x2014;particularly centrosome separation, maturation, and spindle assembly&#x2014;our previous investigations have shown that reducing Aurora-A expression can lead to a substantial inhibition of HCC cell proliferation. This downregulation not only induces G2/M cell cycle arrest but also significantly promotes apoptotic activities within these cells (<xref ref-type="bibr" rid="B9">Gao et al., 2008</xref>; <xref ref-type="bibr" rid="B8">Fu et al., 2007</xref>). In addition, we have conducted comprehensive studies focused on understanding the factors contributing to resistance against targeted therapies in HCC. This research delved into genetic elements at various levels, including cDNA, miRNA, and lncRNA. Our findings revealed that certain pathways, notably the PU.1/microRNA-142-3p/ATG5/ATG16L1 and the FOXM1/LINC-ROR feedback loops, are pivotal regulators influencing HCC cell sensitivity to sorafenib, specifically through their roles in modulating autophagy and cellular proliferation (<xref ref-type="bibr" rid="B46">Zhi et al., 2019</xref>; <xref ref-type="bibr" rid="B40">Zhang et al., 2018a</xref>). Moreover, our analysis concerning the role of Aurora-A expression on therapeutic responses in HCC cells uncovered that Aurora-A plays a significant role in mediating radioresistance and chemoresistance via the regulation of the NF-&#x3ba;B signaling pathway (<xref ref-type="bibr" rid="B28">Shen et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Zhang et al., 2014</xref>). Expanding on this foundational knowledge, our current study is the first to provide compelling evidence that combining Aurora-A inhibitors with Donafenib significantly inhibits the activation of the NF-&#x3ba;B signaling pathway. Consistent with previous studies, NF-&#x3ba;B is essential for enhancing TNF&#x3b1;-induced Nrf2 protein levels and the expression of its target genes (<xref ref-type="bibr" rid="B37">Wardyn et al., 2015</xref>). Our research further demonstrates that NF-&#x3ba;B, a well-characterized transcription factor, mediates the transcriptional upregulation of Nrf2 related to ferroptosis effects. The significant alteration in NRF2 reporter gene activity further corroborates the inhibitory effect of combination therapy on Nrf2 transcriptional activity. Within the proximal promoter region of Nrf2, two &#x3ba;B binding sites have been identified, with &#x3ba;B2 located at &#x2b;270 upstream of the Nrf2 transcription start site, capable of binding NF-&#x3ba;B/p65 (<xref ref-type="bibr" rid="B27">Rushworth et al., 2012</xref>; <xref ref-type="bibr" rid="B36">Wang et al., 2021</xref>). Our ChIP assays further confirm that the combination therapy synergistically inhibits the phosphorylation and nuclear translocation of NF-&#x3ba;B molecules. This inhibition leads to the downregulation of Nrf2 expression, subsequently promoting the upregulation of ferroptosis-induced cytotoxic effects.</p>
<p>Additionally, when assessing systemic toxicity associated with this combination therapy, we observed a commendable safety profile, with no noticeable behavioral abnormalities in mice throughout the treatment period. Given the established dosing regimens and pharmacokinetic profiles of both agents, further studies are warranted to evaluate patient selection criteria, such as specific molecular markers associated with the NF-&#x3ba;B/NRF2 pathway, which could better predict treatment response and optimize clinical outcomes.</p>
<p>Several limitations of this study warrant consideration. First, while our <italic>in vivo</italic> and <italic>in vitro</italic> assays demonstrate significant efficacy, established models may not fully capture the tumor heterogeneity, particularly the immune context observed in patients, which limits our understanding of treatment-related immune responses. Additionally, the use of PMA as a broad protein kinase C (PKC) activator raises concerns about specificity, as it may inadvertently activate pathways unrelated to NF-&#x3ba;B. Importantly, we recognize that the regulation of ferroptosis involves mechanisms beyond the NF-&#x3ba;B/NRF2-mediated defense system, highlighting the complexity of this regulatory network and the potential presence of feedback loops. Future studies should focus on specific NF-&#x3ba;B activators or inhibitors, explore interactions among various signaling pathways, and utilize immunocompetent mouse models and patient-derived organoid systems to better mimic the tumor microenvironment and immune responses in patients.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In summary, HCC remains a formidable challenge in cancer treatment, necessitating innovative therapeutic strategies. Our study highlights the synergistic efficacy of the Aurora-A kinase inhibitor, Alisertib, in combination with Donafenib, demonstrating their ability to promote ferroptosis through the downregulation of NF-&#x3ba;B signaling. This dual therapeutic approach not only enhances cytotoxicity against HCC cells but also addresses critical resistance mechanisms that contribute to treatment failure. The favorable safety profile observed in our preclinical models further supports the potential for clinical application of this combinatorial strategy. Ultimately, our findings advocate for the development of novel treatment paradigms that integrate molecular-targeted therapies, which could significantly improve patient outcomes and survival rates in HCC. Further research is warranted to translate these promising results into clinical practice.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<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 in the article/<xref ref-type="sec" rid="s14">Supplementary Material</xref>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The animal study was approved by Animal Ethics Committee at the Eastern Theater General Hospital of the People&#x2019;s Liberation Army. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>QZ: Writing &#x2013; original draft, Software, Data curation, Validation, Investigation, Methodology. RW: Conceptualization, Writing &#x2013; review and editing, Funding acquisition, Project administration.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The work was supported by grants from the National Natural Science Foundation of China (grant numbers 81472266, 81772995, and 82272807), as well as a grant from Natural Science Foundation of Jiangsu Province (BK20191208).</p>
</sec>
<ack>
<p>We sincerely thank the National Natural Science Foundation of China for their generous support of this research. Their invaluable funding played a crucial role in enabling the successful completion of our study.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11">
<title>Correction note</title>
<p>A correction has been made to this article. Details can be found at: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fcell.2025.1685448">10.3389/fcell.2025.1685448</ext-link>.</p>
</sec>
<sec sec-type="ai-statement" id="s12">
<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 sec-type="disclaimer" id="s13">
<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="s14">
<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.2025.1637767/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcell.2025.1637767/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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