<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1633345</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Bacterial outer membrane vesicles OMV-LL for delivery of neoantigen mRNA to induce anti-HCC therapy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Jiaqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3182944/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Suxin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Chenlu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Shengzhe</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Shuping</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ye</surname>
<given-names>Yunbin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1256345/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>The School of Basic Medical Sciences, Fujian Medical University</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Key Laboratory of Translational Cancer Medicine</institution>, <addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/38431/overview">Nurit Hollander</ext-link>, Tel Aviv University, Israel</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1202766/overview">Dmitry Aleksandrovich Zinovkin</ext-link>, Gomel State Medical University, Belarus</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1539766/overview">Yao-Xin Lin</ext-link>, Chinese Academy of Sciences (CAS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yunbin Ye, <email xlink:href="mailto:zjyunbin@fjmu.edu.cn">zjyunbin@fjmu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1633345</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Cheng, Wu, Zhu, Lin, Liu, Chen and Ye.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Cheng, Wu, Zhu, Lin, Liu, Chen and Ye</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>Introduction</title>
<p>Hepatocellular carcinoma (HCC) represents a significant health challenge, with immunotherapy serving as a crucial component of its complex treatment regimen. This study investigates the use of TP53Y220C as a preferred antigen to induce cytotoxic T lymphocytes (CTLs) for cytotoxic effects against HCC.</p>
</sec>
<sec>
<title>Methods</title>
<p>The TP53<sub>Y220C</sub> mRNA (mTP53<sub>Y220C</sub>) was synthesized through an <italic>in vitro</italic> transcription method and subsequently introduced into dendritic cells (DCs) using bacterial outer membrane vesicles expressing L7Ae and Listeria monocytogenes lysin O (OMV-LL), electroporation, and lipid nanoparticles, respectively. Co-culture of differently treated DCs with initial T cells induces CTLs. The cytotoxic effects of CTLs on hepatocellular carcinoma were evaluated through experiments such as flow cytometry and mouse tumour models.</p>
</sec>
<sec>
<title>Results</title>
<p>We assessed the therapeutic efficacy of CTLs, activated by mTP53<sub>Y220C</sub>-loaded DCs, in a murine model of HCC. Results demonstrate that CTLs, activated by DCs loaded with mTP53<sub>Y220C</sub> via OMV-LL or electroporation, effectively initiated immune responses against HCC. While OMV-LL were less efficient than electroporation in mRNA delivery, they induced a significant pro-inflammatory response and activated the innate immune system.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study highlights OMV-LL as an innovative mRNA delivery approach to DCs for CTLs activation and demonstrates their potential in CTLs-based therapy for HCC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>mRNA</kwd>
<kwd>TP53</kwd>
<kwd>cytotoxic T lymphocytes</kwd>
<kwd>outer-membrane vesicles</kwd>
<kwd>hepatocellular carcinoma</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="1"/>
<ref-count count="41"/>
<page-count count="12"/>
<word-count count="5210"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>According to data from the National Cancer Center of China, by 2022, liver cancer had the fourth-highest incidence and the second-highest mortality rate, representing a significant public health burden in China (<xref ref-type="bibr" rid="B1">1</xref>). The multidisciplinary treatment of hepatocellular carcinoma (HCC), particularly immunotherapy, merits exploration.</p>
<p>Anticancer vaccines, classified as therapeutic (<xref ref-type="bibr" rid="B2">2</xref>), have undergone numerous clinical trials to evaluate their tumor-antigen targeting efficacy. These trials have yielded promising results that support their practical applications (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), Tumor antigens, categorized into TAA and TSA, are crucial in cancer immunotherapy. Being exclusively present in cancerous cells, TSA is particularly suitable for targeted immunological interventions (<xref ref-type="bibr" rid="B5">5</xref>), of which neoantigens arise from non-synonymous mutations and receive significant attention. These include personalized variants, unique to individual patients, and shared variants, common across various tumor types or among different patients. Each patient exhibits a unique neoantigen profile, necessitating whole exome sequencing of the patient&#x2019;s cancer and adjacent tissues to identify and screen for individual neoantigens. However, this process is time-consuming and costly, limiting its practical application. Consequently, therapies based on shared neoantigens, expressed in a broader patient population, are more feasible for widespread use (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>We focused here on TP53, a crucial oncogene in tumorigenesis and progression, which is mutated in approximately 50% of all cancer types, with the highest mutation frequency observed in hepatocellular carcinoma (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The TP53 mutation is strongly associated with poor prognosis in advanced malignancies, making it a prime target for cancer therapies (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The shared neoantigen TP53<sub>Y220C</sub>, frequently found in HCC through database screening and extensive literature reviews, has been identified as a potential vaccine target.</p>
<p>The landscape of neoantigen vaccines is diverse, encompassing peptides, mRNA, and DNA forms. Among these, mRNA vaccines offer distinct advantages, such as preventing genomic integration, avoiding mutagenesis, being non-persistent in the body, thus reducing the risk of prolonged side effects, and their capacity to encode multiple antigens, facilitating tailored treatment plans and complex therapeutic strategies (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>However, the hydrophilic nature and negative charge of mRNA molecules make them susceptible to degradation and instability and pose challenges for cellular uptake, thus limiting their bioavailability <italic>in vivo</italic>. Consequently, numerous studies have focused on enhancing the stability of mRNA and developing efficient delivery systems. Although improvements to mRNA architecture, including the addition of a 5&#x2032; cap and a 3&#x2032; poly-A tail, have significantly increased its stability and translational efficacy (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>), chemical modification of mRNAs, such as the use of nucleotide analogs pseudouridine to reduce immunostimulatory effects, is another important way to improve the efficiency and stability of mRNA translation (<xref ref-type="bibr" rid="B15">15</xref>). Moreover, mRNAs belong to large molecules with a negative charge, and it is difficult to enter the cell through the negatively charged lipid bilayer of the cell membrane. Hence, the efficiency of cellular loading of mRNA is also critical for vaccine efficacy. Beyond traditional viral carriers, innovative delivery systems such as lipid nanoparticles, extracellular vesicles, and electroporation have shown promising results in clinical studies (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Among them, electroporation is a frequently used mRNA delivery method for the preparation of DC vaccines in clinical trials. However, this requires the availability of large-scale clinical-grade electroporation equipment, in addition to involving the <italic>in vitro</italic> isolation and culture of human cells. This process is expensive and prone to contamination, so there is a need to find an alternative, readily available, inexpensive, and alternative delivery method.</p>
<p>This research assessed the comparative efficacy of CTLs stimulated by DC vaccines created through various mRNA transfection techniques. We employed several delivery methods to transfect neoantigen mRNA into DCs, including liposomes, bacterial outer membrane vesicles (OMVs), and electroporation, to evaluate their effectiveness in activating CTLs and inducing cytotoxicity. This study investigates the differences in the anti-tumor effects of CTLs induced by DC vaccines generated through different delivery modalities, offering a critical strategy for the further optimization of cancer immunotherapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Cell lines</title>
<p>The hepatocellular carcinoma cell lines Huh-7 endogenously expressing TP53<sub>Y220C</sub> and SK-Hep-1, obtained from the cell bank of the Shanghai Institute for Biological Sciences, Chinese Academy of Sciences (Shanghai, China), were routinely screened for mycoplasma to ensure purity. Additionally, considering that CTLs are HLA-restricted in recognizing target cells for killing effects, a target cell line Huh7-A0201, stably engineered to express HLA-A*02:01, was constructed. The Huh-7 and Huh7-A0201 cell lines were cultured in Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium, procured from BasalMedia (Shanghai, China). Meanwhile, SK-Hep-1 cells were cultured in Minimum Essential Medium, also sourced from BasalMedia. Both media were supplemented with 10% fetal bovine serum from PAN-Seratech GmbH (Aidenbach, Germany) and 1% penicillin-streptomycin from MP Biomedicals (California, USA). The cells were incubated at 37&#xb0;C in a 5% CO2 atmosphere.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Animals</title>
<p>To further evaluate the killing effect of human-derived CTLs on hepatocellular carcinoma <italic>in vivo</italic>, immunocompromised NOD/SCID mice were selected as animal models with being inoculated human HCC cell lines subcutaneously, and peritumoral injection of CTLs for assessing its inhibitory effect on hepatocellular carcinoma. Male NOD/SCID mice, aged 4 to 5 weeks, were sourced from Guangdong Yaokang Biotechnology Co., Ltd. (Foshan, China). They were housed in a Specific Pathogen-Free facility at the Laboratory Animal Center of Fujian Medical University (Fuzhou, China), with protocols approved by the university&#x2019;s Animal Care and Use Committee. The experimental procedures involving these mice strictly adhered to the established guidelines for animal welfare.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Generation of monocyte-derived DCs</title>
<p>Monocytes were isolated from the peripheral blood of healthy individuals, followed by the separation of CD14<sup>+</sup> monocytes using magnetic bead technology. These cells were cultured in a Lymphocyte Serum-free Medium supplied by Corning Incorporated. Cultivation occurred in six-well plates, supplemented with 100 ng/mL GM-CSF and 50 ng/mL IL-4, both sourced from MCE Tech. Cytokines were replenished on the third and fifth days, and the cells were harvested on the seventh day for experimental use. This research was approved by the Ethical Review Board of Fujian Cancer Hospital under the reference number K2023-455-01. Blood samples were obtained from consenting volunteers who had signed informed consent documents.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Generation and isolation of OMV-LLs</title>
<p>To obtain a kind of extracellular vesicle to deliver mRNA, chimeric genes encoding ClyA fused to L7Ae or LLO were constructed and inserted into the multiple cloning sites of the pACYCDuet-1 vector, respectively. Plasmids encoding the RNA-binding protein L7Ae and the lysosomal escape protein LLO were recombinantly produced and introduced into Escherichia coli BL21(DE3) for expression. Positive clones were selected on chloramphenicol plates (50 &#xb5;g/mL) and cultured in an LB medium for mass amplification. Initially, the liquid portion of the bacterial culture was collected, and a 10-min centrifugation at 4,000 g was performed to remove the bacteria. This was followed by a secondary centrifugation at 24,000 g for 3 h to isolate the outer membrane vesicles (OMV-LL).(<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Acquisition and purification of neoantigen mRNA</title>
<p>The pcDNA3.1(+) plasmid was engineered to include the following sequences after the T7 promoter: alpha-globin 5&#x2019;UTR, KOZAK sequence, SP sequence (MHC class I signaling peptide designed to guide the peptide through the endoplasmic reticulum into the lumen), TP53<sub>Y220C</sub> sequence (GTGGTGCCCTGTGAGCCGCCTGAGGTT), intermediate linker (GGSGGGGGSGG), TP53<sub>Y220C</sub> sequence, intermediate linker, FLAG tag, and alpha-globin 3&#x2019;UTR. mRNA encoding neoantigens was synthesized via <italic>in vitro</italic> transcription using T7 polymerase. The process began with linearization of the plasmid DNA by the XbaI restriction enzyme, which then served as the template for the transcription reaction facilitated by a Transcription Kit from Thermo Fisher Scientific (MA, USA). Following transcription, the mRNA was purified using a Transcription Cleaning Kit from the same manufacturer, adhering to their provided protocol.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Evaluation of mRNA transfection efficiency</title>
<p>DCs (1&#xd7;10<sup>5</sup> cells per well) without any treatment were used as the blank control group. DCs (1&#xd7;10<sup>5</sup> cells/well) were seeded into 24-well plates 24 h before transfection. For transfection, 9 &#x3bc;L of OMV-LL and 1.5 &#x3bc;L of Lipofectamine&#x2122; 3000 were mixed with 1 &#x3bc;L of mRNA encoding EGFP (mEGFP, APExBIO Technology LLC, USA) in opti-MEM medium for 15 min; the mixture was then added to the cells in a 24-well plate. 24 hours later, fluorescence images of each culture well were captured under microscope to assess transfection efficiency, and quantitative analysis was performed using flow cytometry. For electroporation, 1&#xd7;10<sup>6</sup> cells were collected, resuspended in 100 &#x3bc;L of opti-MEM medium, and transferred into a 2 mm electroporation cuvette (Suzhou Etta Biotech, China). The cuvette was placed in the X-Porator H1 electroporator (Suzhou Etta Biotech, China) and subjected to electroporation under the following conditions: 200 V voltage, 3 pulses, 800 &#xb5;s duration, and 612 ms interval. Afterward, 1&#xd7;10<sup>5</sup> cells were removed and seeded into 24-well plates. 24 hours later, images of each well were captured using a microscope to assess transfection efficiency, which was quantitatively analyzed through flow cytometry.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Western blot analysis</title>
<p>Proteins from lysed DCs were isolated and analyzed via Western blot. The primary antibodies used were Mouse anti-DDDDK-Tag mAb and Mouse anti-Human &#x3b2;-actin mAb, both diluted according to the recommendations provided by the supplier. These were followed by horseradish peroxidase-conjugated secondary antibodies. Detection was performed using the enhanced chemiluminescence (ECL) method, following Pierce&#x2019;s protocol for the ECL kit. The antibodies were sourced from ABclonal Technology Co., Ltd. (Wuhan, China).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Enzyme-linked immunosorbent assay</title>
<p>ELISA plates were prepared by coating them with either IFN-&#x3b3; or TNF-&#x3b1; capture antibodies and incubating them overnight at 4&#xb0;C. Subsequently, the plates were washed with a washing solution and blocked with a blocking solution for 4 h at room temperature. Samples were then added to the plates and incubated overnight at 4&#xb0;C. After another washing step, the plates were incubated with secondary antibodies for 1 h at room temperature. This was followed by a 30-min incubation with streptavidin-HRP at room temperature. After a final wash, the plates were developed with TMB for 15 min at room temperature. The color development was stopped using a stop solution, and the absorbance was measured at 450 nm.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Enzyme-linked immunospot assay</title>
<p>The Human IFN-&#x3b3; ELISpot kit was procured from Dakewe Biotech (Shenzhen, China). Following the kit&#x2019;s instructions, the plates pre-coated with an antibody specific to IFN-&#x3b3; were rinsed with PBS and then incubated with RPMI 1640 medium supplemented with 10% FBS for 10 min at room temperature. After removing the RPMI 1640 medium, CTLs (5&#xd7;10<sup>4</sup> cells/well) and tumor cells (1&#xd7;10<sup>4</sup> cells/well) were added to the plates. The plates were then cultured at 37&#xb0;C for 24 h. Post-washing with PBS, the plates were incubated with biotinylated IFN-&#x3b3; antibody and streptavidin-HRP, each for 1 h at 37&#xb0;C. The color development was performed using AEC at room temperature in the dark for 30 min. After washing, the plates were air-dried in the dark, and the spots were counted using an ELISpot reader (CTLS6).</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Tumor-specific CTL killing assay</title>
<p>Target cells (Huh7-A0201 or SK-Hep-1) were cultured with CTLs at different E/T ratios in 96-well plates at 37&#xb0;C for 6h. The Cytotoxicity Assay kit (Promega, Madison, WI, USA) was used to measure LDH activity in the supernatant, indicating cell damage. The cytotoxic cell percentage was determined by the formula: (Cocultivation LDH release - Tumor spontaneous release - CTLs spontaneous release)/(Tumor maximum release - Tumor spontaneous release) &#xd7; 100%, which evaluates the cytotoxic effect of CTLs on the target cells.</p>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Flow cytometric analysis</title>
<p>Flow cytometric analysis was conducted using a FACS Canto &#x2161;  flow cytometer from BD Biosciences (CA, USA). The antibodies utilized in the flow cytometry analysis included anti-CD80 labeled with FITC, anti-CD86 labeled with PE, anti-CD137 labeled with PE, anti-CD28 labeled with PE, and anti-CD69 labeled with FITC, all of which were sourced from BD Pharmingen. Data analysis was carried out with FlowJo version 10 software.</p>
</sec>
<sec id="s2_12">
<label>2.12</label>
<title>Immunization and tumor challenge</title>
<p>Male NOD/SCID mice were subcutaneously inoculated with Huh7-A0201 cells (1&#xd7;10<sup>6</sup> cells/spot). On day 7 post-inoculation, CTLs (2&#xd7;10<sup>6</sup> cells/spot) were injected peri-tumorally. Tumor sizes were monitored every two days using calipers.</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>T</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>r</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>v</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>u</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>e</mml:mi>
<mml:mo>=</mml:mo>
<mml:mfrac bevelled="true">
<mml:mrow>
<mml:mi>l</mml:mi>
<mml:mtext>ongest&#xa0;dimension</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mi>s</mml:mi>
<mml:mi>h</mml:mi>
<mml:mi>o</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>t</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>d</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>m</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>n</mml:mi>
<mml:mi>s</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
<mml:msup>
<mml:mi>n</mml:mi>
<mml:mn>2</mml:mn>
</mml:msup>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_13">
<label>2.13</label>
<title>Histological analysis</title>
<p>Tissues from the heart, liver, spleen, lungs, and kidneys were extracted from the mice and fixed in paraffin. These tissue sections were then subjected to dewaxing, rehydration, and staining using Mayer&#x2019;s hematoxylin and eosin staining method.</p>
</sec>
<sec id="s2_14">
<label>2.14</label>
<title>Statistical analysis</title>
<p>Data are presented as the mean &#xb1; standard deviation, except where specified otherwise. Statistical analysis was conducted using GraphPad Prism version 8.0. Significance was determined using either an unpaired t-test or a one-way ANOVA. The levels of significance were denoted as follows: ns (no significant difference); *p&lt;0.05; **p&lt;0.01***p&lt;0.001.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Identification of neoantigens and construction of mRNA delivery system</title>
<p>The dataset comprising 502 hepatocellular carcinoma (HCC) cases was sourced from the cBioPortal website and analyzed for mutation characteristics using the &#x201c;Maftools&#x201d; R package developed by Mayakonda (<xref ref-type="bibr" rid="B20">20</xref>). Mutation types included non-synonymous changes, premature stop codons, frameshift and non-frameshift deletions, and insertions, both with and without frameshift. Out of 502 samples, 458 mutations were detected. The ten genes exhibiting the highest mutation rates were identified as TP53 TTN, FAT1, CDKN2A, MUC16, CSMD3, PIK3CA, NOTCH1, SYNE1, and LRP1B, with respective mutation rates of 70%, 42%, 22%, 21%, 20%, 19%, 18%, 18%, 17%, and 17% (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Consequently, TP53 was selected for further study in anti-HCC immunotherapy due to TP53<sub>Y220C</sub>, a relatively common mutation in HCC, serving as the focus of our study (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The HCC cell line Huh-7, harboring the endogenous TP53<sub>Y220C</sub> mutation, was identified using the TP53 Database website. Huh7-A0201, transfected with HLA-A*02:01, was utilized as a specific target cell, while SK-Hep-1, also expressing HLA-A*02:01 but lacking the TP53<sub>Y220C</sub> mutation, served as a non-specific target cell.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Screening for hepatocellular carcinoma neoantigens. <bold>(A)</bold> Top ten mutated genes in 502 liver cancer samples. <bold>(B)</bold> Transmission electron microscopy diagram of OMV-LL (scale bar: 200 nm). <bold>(C)</bold> Dynamic light scattering detection of nanoparticle size and polydispersity index.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1633345-g001.tif">
<alt-text content-type="machine-generated">Panel A displays a mutation matrix for various genes with annotation bars indicating mutation types. Panel B shows a grayscale electron microscope image of circular structures. Panel C presents a graph comparing size distribution of different samples, with an accompanying table detailing polydispersity index (PDI) and average size in nanometers (nm) for OMV, OMV-LL, and OMV-LL-mTP53 variants.</alt-text>
</graphic>
</fig>
<p>The OMV-LL presents the RNA-binding protein L7Ae and the lysosome-escaping protein LLO on its surface (<xref ref-type="bibr" rid="B19">19</xref>). The OMV-LL vector was linked to the box C/D sequence of mRNA by L7Ae and achieved lysosomal escape of antigen via LLO. Verification of OMV-LL dimensions through dynamic light scattering and electron microscopy revealed a consistent size of around 120 nm. (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>OMV-LL efficiently delivers antigen and induces CTLs activation</title>
<p>Monocyte-derived dendritic cells (MoDCs) were transfected with mEGFP using various delivery methods. The success of the transfection was evaluated by observing the expression of green fluorescent protein under a fluorescence microscope and quantifying the proportion of EGFP<sup>+</sup>DCs via flow cytometry. Compared with the blank control group, effective mRNA delivery was observed in the other three groups (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The transfection efficiency of the OMV-LL delivery system was approximately 3.75 &#xb1; 0.57%, that of the Lip3000 lipid nanoparticles was approximately 4.67 &#xb1; 0.43%, while the electroporation method achieved a significantly higher efficiency of approximately 89.47 &#xb1; 7.88%, markedly surpassing the performance of both OMV-LL and Lip3000 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Comparison of DC transfection efficiency among three mRNA delivery modes. <bold>(A)</bold> Fluorescence microscopy to observe the expression of green fluorescent protein in DCs (scale bar: 100&#xb5;m). <bold>(B)</bold> Flow cytometry was performed to detect the percentage of EGFP<sup>+</sup> DCs and statistically analyzed. <bold>(C)</bold> Western Blot to detect TP53<sub>Y220C</sub>-Flag fusion protein expression. (***<italic>P</italic>&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1633345-g002.tif">
<alt-text content-type="machine-generated">Panel A shows cell images with DAPI and EGFP staining; intensity increases from Blank to Electroporation. Panel B displays a flow cytometry graph and a bar graph illustrating EGFP+ dendritic cells, with electroporation showing significantly higher expression. Panel C presents Western blots for Flag and &#x3b2;-actin across different conditions, highlighting increased Flag expression with electroporation.</alt-text>
</graphic>
</fig>
<p>MoDCs were transfected with mRNA encoding the mTP53<sub>Y220C</sub>-Flag for further validation using the same delivery methods. Western blot analysis showed higher expression levels of the TP53<sub>Y220C</sub>-Flag fusion protein in the electroporation group compared to the two groups (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<p>However, while investigating the impact of three different mRNA delivery methods on the maturation of DCs, it was found that all three delivery approaches significantly increased the expression levels of CD80 and CD86 on DC surfaces compared to the untreated control group. Notably, the OMV-LL group demonstrated significantly higher expression levels than the Lip3000 and electroporation groups (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). These results implied that OMV-LL could induce a highly efficient immune response, although its efficiency in delivering mRNA is limited.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Different transfection modes load neoantigen mRNA to promote DCs maturation and CTLs activation. <bold>(A)</bold> Expression of CD80 and CD86 on the surface of DCs transfected with the three delivery modes was detected by flow cytometry and statistically analyzed. <bold>(B)</bold> Flow cytometry was used to detect the expression of CD69, a CTL surface activation indicator, and CD28 and CD137, co-stimulatory molecules in each group, and statistical analysis was done. (*<italic>P</italic>&lt;0.05, **<italic>P</italic>&lt;0.01, ***<italic>P</italic>&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1633345-g003.tif">
<alt-text content-type="machine-generated">Graphs and histograms show the expression levels of CD80, CD86, CD69, 4-1BB, and CD28 on dendritic cells, comparing four treatments: Untreated, OMV-LL, Lip3000, and Electroporation. Line graphs depict the amount of expression, while bar graphs indicate percentages. Statistical significance is marked with asterisks: *(p&lt;0.05), **(p&lt;0.01), ***(p&lt;0.001), and &#x201c;ns&#x201d; for not significant. The data show varying degrees of expression across treatments, highlighting differential immune activation responses.</alt-text>
</graphic>
</fig>
<p>Additionally, the expression levels of CD69, a surface indicating cellular activation, along with the co-stimulatory molecules CD28 and CD137, were assessed via flow cytometry. The results showed a substantial increase in the expression of CD69, CD28, and CD137 on the surfaces of CTLs in both the OMV-LL and electroporation groups compared to the control group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). This suggests that introducing mTP53<sub>Y220C</sub> into DCs using OMV-LL and electroporation methods more effectively promotes T-cell activation, thereby enhancing the anti-tumor effects of the subsequent CTL responses.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>CTLs induced by mTP53<sub>Y220C</sub> via OMV-LL obtained powerful anti-tumor effect <italic>in vitro</italic>
</title>
<p>To evaluate the anti-hepatocellular carcinoma effects of CTLs induced by three different mRNA delivery methods, Huh7-A0201 and SK-Hep-1 cell lines were selected as target cells. LDH assays revealed that the cytotoxic activity of CTLs from the OMV-LL and electroporation groups against the target cells Huh7-A0201 at E:T ratios of 20:1 and 10:1 was notably higher than that of the Lip3000 group, and the OMV-LL group demonstrated the same cytotoxicity level as the electroporation group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Meanwhile, no significant difference in the cytotoxicity against SK-Hep-1 cells was observed across all groups at the same E:T ratios (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), suggesting that the CTLs&#x2019; cytotoxicity induced by mTP53<sub>Y220C</sub> is antigen-specific.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Killing effects of CTL induced in different ways on hepatocellular carcinoma <italic>in vitro</italic>. <bold>(A)</bold> LDH assay was performed to detect the killing effect of CTLs on target cells Huh7-A0201 and SK-Hep-1 at different potency-target ratios. <bold>(B)</bold> ELISA was performed to detect the killing of IFN-&#x3b3; and TNF-&#x3b1; secreted by the target cells Huh7-A0201 by CTLs of each group under the condition of 10:1 potency-target ratio. <bold>(C)</bold> Under a 5:1 E-T ratio, ELISPOT detected IFN-&#x3b3;<sup>+</sup> cells during co-culture of CTL and target cells Huh7-A0201 in each group and did statistical analysis. (**<italic>P</italic>&lt;0.01, ***<italic>P</italic>&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1633345-g004.tif">
<alt-text content-type="machine-generated">Graphical presentation of experimental data in three panels: Panel A shows bar graphs of specific lysis percentages for Huh7-A0201 and SK-Hep-1 at different ratios with statistical significance indicated. Panel B presents bar graphs for cytokine levels, interleukin IFN-&#x3b3; and TNF-&#x3b1;, with statistical significance denoted. Panel C displays images of test wells for control, OMV-LL, Lip3000, and electroporation, alongside a bar graph showing IFN-&#x3b3; spot counts with statistical significance markers.</alt-text>
</graphic>
</fig>
<p>Additionally, the secretion of pro-inflammatory cytokines IFN-&#x3b3; and TNF-&#x3b1; was assessed by ELISA in each group of CTLs co-cultured with Huh7-A0201 at an E:T ratio of 10:1. The results indicated that the production of IFN-&#x3b3; and TNF-&#x3b1; was significantly enhanced in both the OMV-LL and electroporation groups compared to the Lip3000 group. The OMV-LL group exhibited less levels of IFN-&#x3b3; and TNF-&#x3b1; secretion than the electroporation group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). To further confirm the secretion of IFN-&#x3b3; at the individual cell level, the ELISPOT method was used to identify IFN-&#x3b3;<sup>+</sup> CTLs. The results showed that both the OMV-LL and electroporation groups had a significantly greater number of IFN-&#x3b3;<sup>+</sup> CTLs compared to the Lip3000 group. The OMV-LL group also had a lower count of IFN-&#x3b3;<sup>+</sup> CTLs than the electroporation group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Anti-tumor ability of the CTLs induced by neoantigen mRNA <italic>in vivo</italic>
</title>
<p>In the <italic>in vivo</italic> study, a subcutaneous tumor model using Huh7-A0201 cells was established to assess the anti-tumor effects of CTLs activated by DCs transfected with Lip3000/mTP53<sub>Y220C</sub>, OMV-LL/mTP53<sub>Y220C</sub>, and electroporation/mTP53<sub>Y220C</sub>, respectively (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>). Compared to the control group, the average tumor growth curves in the OMV-LL, electroporation, and Lip3000 groups were slower, and the average tumor volumes showed a substantial decrease (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5B, C</bold>
</xref>). Analysis of tumor tissues revealed that infiltration of CD8<sup>+</sup> T-cells was considerably higher in the OMV-LL and electroporation groups compared to the Control and Lip3000 groups (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>). These findings suggest that the anti-tumor effect of CTLs induced by DCs loaded with mTP53<sub>Y220C</sub> was significantly more effective than that of CTLs not loaded with mTP53<sub>Y220C</sub>, and the ability of CTLs to infiltrate tumor tissue was markedly greater in the OMV-LL and electroporation groups compared to the Lip3000 group.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Specific CTLs inhibit hepatocellular carcinoma cell growth <italic>in vivo</italic>. <bold>(A)</bold>. Schematic diagram. <bold>(B)</bold> Tumor growth graph for each group of mice (n=6). <bold>(C)</bold> Tumor pictures and statistical graph of tumor size in each group. <bold>(D)</bold> Immunohistochemical detection of CD8<sup>+</sup>T-cell infiltration in each group of tumor sections (scale bar: 50 &#xb5;m). <bold>(E)</bold> Biochemical analysis of serum BUN, CRE, ALT, and AST levels in tumor-bearing mice. <bold>(F)</bold> H&amp;E images of organs including heart, liver, spleen, lung, and kidney (scale bar: 40&#xb5;m). (**<italic>P</italic>&lt;0.01, ***<italic>P</italic>&lt;0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1633345-g005.tif">
<alt-text content-type="machine-generated">Diagram detailing an experimental timeline for CTL treatments in a mouse model, including tumor growth data and assessments. Panel A shows the injection schedule. Panel B displays a graph of tumor volumes comparing different groups over 18 days. Panel C presents images of excised tumors with a corresponding volume bar chart. Panel D includes histological slides of control and experimental groups. Panel E shows blood test results for BUN, CRE, ALT, and AST. Panel F features histological images of various organs across treatment groups.</alt-text>
</graphic>
</fig>
<p>Eleven days after initiating CTL therapy, blood samples were collected from the mice to measure serum concentrations of blood urea nitrogen (BUN), creatinine (CRE), alanine transaminase (ALT), and aspartate transaminase (AST). The results indicated no notable differences in the BUN, CRE, ALT, and AST levels between the treated and control groups, suggesting that the CTL injections did not burden the mice&#x2019;s liver and kidneys (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>). The main organs were also isolated and subjected to H&amp;E staining, revealing no obvious pathological changes (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5F</bold>
</xref>). These results confirm that CTL therapy, administered via <italic>in vivo</italic> injection, exhibits good biosafety.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>DCs play a crucial role in antigen processing and presentation and in initiating immune responses to new antigens. When DCs take up mRNA coding for a neoantigen, it is translated into the corresponding protein, which is subsequently degraded by the proteasome within the DCs. The resulting peptide fragments are transported to the endoplasmic reticulum, where they bind to MHC class I molecules. These complexes are then presented on the surface of the dendritic cell, displaying the antigenic peptides alongside co-stimulatory signals to CD8<sup>+</sup> T-cells, thus initiating the CTL response (<xref ref-type="bibr" rid="B23">23</xref>). Activation of T-cells requires three critical signals: (1) the binding of the peptide-major histocompatibility complex (p-MHC) to the T-cell receptor (2), the engagement of co-stimulatory molecules on antigen-presenting cells with their counterparts on T-cells, and (3) Cytokines secreted by APCs to T-cell activation (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). In recent years, numerous studies have endeavored to boost the overall effectiveness of vaccines by amplifying these signals to enhance the communication between DCs and T-cells (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>Our study evaluated three methods for delivering neoantigen mRNA: OMV-LL, electroporation, and Lip3000. Lip3000 is a standard mRNA delivery system in basic research. They can be readily synthesized and targeted to specific cell types by modifying their surface with specific ligands. However, the suboptimal delivery efficiency of Lip3000 and the potential to elicit only modest immune responses may limit the effectiveness of mRNA vaccines. Electroporation is a widely accepted process that facilitates the delivery of DNA/RNA in various kinds of cells by applying electrical pulses with appropriate amplitudes and waveforms in the special instrument. However, this technology has strict requirements on field intensity and the duration of the electrical pulse. Otherwise, it is easy to cause irreversible damage to the cell membrane and lead to cell lysis (<xref ref-type="bibr" rid="B27">27</xref>). Here, we found that the transfection efficiency of DCs via electroporation reached approximately 90%, significantly enhancing the presentation of neoantigens on the DC surface. Using a square wave instead of a conventional sinusoidal wave reduces the voltage to less than 400 V, decreasing cell death rates. It was interesting that although the transfection efficiency of OMV-LL is less than 10%, it has shown its ability to significantly increase the surface expression of co-stimulatory molecules CD80 and CD86 on DCs, enhancing CTL activation. OMVs are natural vesicles secreted by Gram-negative bacteria that can be effectively recognized and taken up by dendritic cells. In addition, OMVs are rich in pathogen-associated molecular patterns (PAMPs), which can strongly stimulate the innate immune system, promote antigen presentation, and activate T cells. Therefore, OMVs are ideal vaccine nanocarriers, as they can display and deliver exogenous antigens from microorganisms by fusing and expressing scaffold proteins on the OMV surface. Previous studies have reported that the OMV-LL as an mRNA vaccine delivery carrier, can significantly inhibit the progression of melanoma in mice and lead to complete tumour regression in 37.5% mouse models of colorectal cancer, even induce long-term immune memory, continuing to protect mice from tumour attacks 60 days later (<xref ref-type="bibr" rid="B19">19</xref>). OMV-LL contains unique prokaryotic components, including peptidoglycan, cytosolic acid, and phosphatidic acid, recognized by various pattern recognition receptors, such as Toll 1, Toll 2, and Toll 4. The pathogen-associated molecular patterns within OMV-LL activate various innate immune signaling pathways, generating a natural adjuvant effect that upregulates the expression of CD80 and CD86 on the DC surface. This, in turn, influences CD28 on the T-cell surface, regulating T-cell activation, cytokine expression, and antigen-specific CTL production (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). As stated in the three-signal theory, the first signal in the electroporation group is the strongest, but the second and third signals are weaker than those in the OMV-LL and Lip3000 groups, ultimately resulting in T cell activation levels in the OMV-LL group being comparable to those in the electroporation group.</p>
<p>Although electroporation has high delivery efficiency and can effectively deliver neoantigens, its high cell death rate of up to 50% limits its large-scale application. In contrast, while OMV-LL has lower efficiency in delivering neoantigens, its natural immune adjuvant effect amplifies the effect, making its T cell activation efficacy comparable to that of electroporation. Considering clinical translation, OMV-LL amplification is simple and rapid, making it suitable not only as an mRNA vaccine carrier but also for <italic>in vitro</italic> stimulation of DC vaccines. The electroporation technique is limited by the cell survival rate and the electroporation equipment, and currently its application scale is also restricted to some extent. OMVs have been demonstrated clinical potential and successfully used in OMV-based vaccines against Neisseria meningitidis in multiple clinical trials, showing strong immunogenicity and safety, leading to their approval for preventing epidemic meningitis (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, the application of OMVs in cancer immunotherapy is being explored to deliver tumor antigens and elicit specific immune responses (<xref ref-type="bibr" rid="B32">32</xref>). Preclinical studies have shown that engineered OMVs can deliver siRNA or CRISPR/Cas systems effectively (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>), inhibiting tumor growth or correcting genetic mutations, paving the way for future clinical applications. Despite this, the efficiency of OMV-LL loading neoantigen mRNA was lower than that of electroporation in our results, which needs further improvement. Here, the mRNA was externally loaded on OMV-LL and might be easily stripped. OMV-LL could also carry a large amount of nuclease, accelerating mRNA degradation. On the other hand, OMVs released from some pathogenic bacteria may carry disease-causing agents (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), presenting challenges such as heterogeneity, standardization, and potential pathogenicity that must be addressed in vaccine development to ensure their safety and efficacy. Therefore, in subsequent studies, in addition to inhibiting nuclease in the OMV-LL system, we considered loading mRNA into the interior of OMV, which could reduce the effect of liquid flow shear during <italic>in vivo</italic> delivery of OMV to maximize the efficacy of this mRNA vaccine.</p>
<p>Individuals with late-stage cancers often show minimal responses to single-agent immunotherapies, leading to an increased interest in combination immunotherapeutic approaches. Elevated PD-L1 expression has been noted during treatment with mRNA-based personalized vaccines (<xref ref-type="bibr" rid="B37">37</xref>). PD-L1 is usually constitutively expressed in most cancers, but inducible expression is more prevalent in HCC. IFN-&#x3b3;, a significant factor released by tumor-infiltrating CD8<sup>+</sup> T-cells, is known to upregulate PD-L1 expression on HCC cells (<xref ref-type="bibr" rid="B38">38</xref>). In this study, DC-induced CTLs loaded with mTP53<sub>Y220C</sub> secreted more IFN-&#x3b3;, enhancing their ability to kill target cells. However, IFN-&#x3b3; boosts anti-tumor effects and increases PD-L1 levels on HCC cells (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>), potentially dampening the overall immune response. Research indicates that lower surface levels of PD-L1 are more conducive to effective antigen presentation and activation of CTLs (<xref ref-type="bibr" rid="B41">41</xref>). Future studies should investigate the anti-tumor effects of combining immune checkpoint blockade therapy with CTL strategies to potentially counteract the PD-L1 upregulation induced by IFN-&#x3b3;.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Our research was approved by the Ethics Committee of Fujian Cancer Hospital (K2023-455-01) and the Animal Experiment Ethics Committee of Fujian Medical University (IACUC FJMU 2023-0033). Blood samples were obtained from consenting volunteers who had signed informed consent documents.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JC: Data curation, Formal analysis, Investigation, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SW: Data curation, Investigation, Resources, Writing &#x2013; review &amp; editing. CZ: Data curation, Investigation, Resources, Writing &#x2013; review &amp; editing. SL: Data curation, Investigation, Resources, Writing &#x2013; review &amp; editing. FL: Data curation, Supervision, Writing &#x2013; review &amp; editing. SC: Data curation, Supervision, Writing &#x2013; review &amp; editing. YY: Funding acquisition, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by grants from the Joint Funds for the Science and Technology Project in Fujian Province of China(2021Y0054); Natural Science Foundation of Fujian Province(2023J011247); Fujian provincial health technology project (2024ZD01004).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Medjaden Inc. for scientific editing of this manuscript.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<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 id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xia</surname> <given-names>C</given-names>
</name>
<name>
<surname>Dong</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>D</given-names>
</name>
<name>
<surname>He</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Cancer statistics in China and United States, 2022: profiles, trends, and determinants</article-title>. <source>Chin Med J</source>. (<year>2022</year>) <volume>135</volume>:<page-range>584&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/CM9.0000000000002108</pub-id>, PMID: <pub-id pub-id-type="pmid">35143424</pub-id></citation></ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saxena</surname> <given-names>M</given-names>
</name>
<name>
<surname>van der Burg</surname> <given-names>SH</given-names>
</name>
<name>
<surname>Melief</surname> <given-names>CJM</given-names>
</name>
<name>
<surname>Bhardwaj</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Therapeutic cancer vaccines</article-title>. <source>Nat Rev Cancer</source>. (<year>2021</year>) <volume>21</volume>:<page-range>360&#x2013;78</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41568-021-00346-0</pub-id>, PMID: <pub-id pub-id-type="pmid">33907315</pub-id></citation></ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rojas</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Sethna</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Soares</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Olcese</surname> <given-names>C</given-names>
</name>
<name>
<surname>Pang</surname> <given-names>N</given-names>
</name>
<name>
<surname>Patterson</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer</article-title>. <source>Nature</source>. (<year>2023</year>) <volume>618</volume>:<page-range>144&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-023-06063-y</pub-id>, PMID: <pub-id pub-id-type="pmid">37165196</pub-id></citation></ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ott</surname> <given-names>PA</given-names>
</name>
<name>
<surname>Hu-Lieskovan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Chmielowski</surname> <given-names>B</given-names>
</name>
<name>
<surname>Govindan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Naing</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bhardwaj</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>A phase ib trial of personalized neoantigen therapy plus anti-PD-1 in patients with advanced melanoma, non-small cell lung cancer, or bladder cancer</article-title>. <source>Cell</source>. (<year>2020</year>) <volume>183</volume>:<fpage>347</fpage>&#x2013;<lpage>62.e24</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cell.2020.08.053</pub-id>, PMID: <pub-id pub-id-type="pmid">33064988</pub-id></citation></ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xie</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>G</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>W</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Neoantigens: promising targets for cancer therapy</article-title>. <source>Signal transduction targeted Ther</source>. (<year>2023</year>) <volume>8</volume>:<fpage>9</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41392-022-01270-x</pub-id>, PMID: <pub-id pub-id-type="pmid">36604431</pub-id></citation></ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shah</surname> <given-names>RK</given-names>
</name>
<name>
<surname>Cygan</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kozlik</surname> <given-names>T</given-names>
</name>
<name>
<surname>Colina</surname> <given-names>A</given-names>
</name>
<name>
<surname>Zamora</surname> <given-names>AE</given-names>
</name>
</person-group>. <article-title>Utilizing immunogenomic approaches to prioritize targetable neoantigens for personalized cancer immunotherapy</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1301100</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1301100</pub-id>, PMID: <pub-id pub-id-type="pmid">38149253</pub-id></citation></ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chasov</surname> <given-names>V</given-names>
</name>
<name>
<surname>Zaripov</surname> <given-names>M</given-names>
</name>
<name>
<surname>Mirgayazova</surname> <given-names>R</given-names>
</name>
<name>
<surname>Khadiullina</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zmievskaya</surname> <given-names>E</given-names>
</name>
<name>
<surname>Ganeeva</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Promising new tools for targeting p53 mutant cancers: humoral and cell-based immunotherapies</article-title>. <source>Front Immunol</source>. (<year>2021</year>) <volume>12</volume>:<elocation-id>707734</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2021.707734</pub-id>, PMID: <pub-id pub-id-type="pmid">34484205</pub-id></citation></ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kastenhuber</surname> <given-names>ER</given-names>
</name>
<name>
<surname>Lowe</surname> <given-names>SW</given-names>
</name>
</person-group>. <article-title>Putting p53 in context</article-title>. <source>Cell</source>. (<year>2017</year>) <volume>170</volume>:<page-range>1062&#x2013;78</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cell.2017.08.028</pub-id>, PMID: <pub-id pub-id-type="pmid">28886379</pub-id></citation></ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>K</given-names>
</name>
<name>
<surname>He</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Song</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>LRP1B or TP53 mutations are associated with higher tumor mutational burden and worse survival in hepatocellular carcinoma</article-title>. <source>J Cancer</source>. (<year>2021</year>) <volume>12</volume>:<page-range>217&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7150/jca.48983</pub-id>, PMID: <pub-id pub-id-type="pmid">33391418</pub-id></citation></ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>L</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>A</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>H</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Unique TP53 neoantigen and the immune microenvironment in long-term survivors of Hepatocellular carcinoma</article-title>. <source>Cancer immunology immunotherapy: CII</source>. (<year>2021</year>) <volume>70</volume>:<page-range>667&#x2013;77</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00262-020-02711-8</pub-id>, PMID: <pub-id pub-id-type="pmid">32876735</pub-id></citation></ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>mRNA vaccine for cancer immunotherapy</article-title>. <source>Mol cancer</source>. (<year>2021</year>) <volume>20</volume>:<fpage>41</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12943-021-01335-5</pub-id>, PMID: <pub-id pub-id-type="pmid">33632261</pub-id></citation></ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jia</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ji</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Dersh</surname> <given-names>D</given-names>
</name>
<name>
<surname>Yewdell</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Qian</surname> <given-names>SB</given-names>
</name>
</person-group>. <article-title>Decoding mRNA translatability and stability from the 5&#x2019; UTR</article-title>. <source>Nat Struct Mol Biol</source>. (<year>2020</year>) <volume>27</volume>:<page-range>814&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41594-020-0465-x</pub-id>, PMID: <pub-id pub-id-type="pmid">32719458</pub-id></citation></ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Passmore</surname> <given-names>LA</given-names>
</name>
<name>
<surname>Coller</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Roles of mRNA poly(A) tails in regulation of eukaryotic gene expression</article-title>. <source>Nat Rev Mol Cell Biol</source>. (<year>2022</year>) <volume>23</volume>:<fpage>93</fpage>&#x2013;<lpage>106</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41580-021-00417-y</pub-id>, PMID: <pub-id pub-id-type="pmid">34594027</pub-id></citation></ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Xue</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Dang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhai</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Technological breakthroughs and advancements in the application of mRNA vaccines: a comprehensive exploration and future prospects</article-title>. <source>Front Immunol</source>. (<year>2025</year>) <volume>16</volume>:<elocation-id>1524317</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2025.1524317</pub-id>, PMID: <pub-id pub-id-type="pmid">40103818</pub-id></citation></ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kuzmin</surname> <given-names>IV</given-names>
</name>
<name>
<surname>Soto Acosta</surname> <given-names>R</given-names>
</name>
<name>
<surname>Pruitt</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wasdin</surname> <given-names>PT</given-names>
</name>
<name>
<surname>Kedarinath</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hernandez</surname> <given-names>KR</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparison of uridine and N1-methylpseudouridine mRNA platforms in development of an Andes virus vaccine</article-title>. <source>Nat Commun</source>. (<year>2024</year>) <volume>15</volume>:<fpage>6421</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41467-024-50774-3</pub-id>, PMID: <pub-id pub-id-type="pmid">39080316</pub-id></citation></ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kranz</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Diken</surname> <given-names>M</given-names>
</name>
<name>
<surname>Haas</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kreiter</surname> <given-names>S</given-names>
</name>
<name>
<surname>Loquai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Reuter</surname> <given-names>KC</given-names>
</name>
<etal/>
</person-group>. <article-title>Systemic RNA delivery to dendritic cells exploits antiviral defence for cancer immunotherapy</article-title>. <source>Nature</source>. (<year>2016</year>) <volume>534</volume>:<fpage>396</fpage>&#x2013;<lpage>401</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature18300</pub-id>, PMID: <pub-id pub-id-type="pmid">27281205</pub-id></citation></ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>De Keersmaecker</surname> <given-names>B</given-names>
</name>
<name>
<surname>Claerhout</surname> <given-names>S</given-names>
</name>
<name>
<surname>Carrasco</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bar</surname> <given-names>I</given-names>
</name>
<name>
<surname>Corthals</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wilgenhof</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>TriMix and tumor antigen mRNA electroporated dendritic cell vaccination plus ipilimumab: link between T-cell activation and clinical responses in advanced melanoma</article-title>. <source>J immunotherapy Cancer</source>. (<year>2020</year>) <volume>8</volume>:<fpage>e000329</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/jitc-2019-000329</pub-id>, PMID: <pub-id pub-id-type="pmid">32114500</pub-id></citation></ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Surana</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lebleu</surname> <given-names>V</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>J</given-names>
</name>
<name>
<surname>Smaglo</surname> <given-names>B</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>D</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Phase I study of mesenchymal stem cell (MSC)-derived exosomes with KRAS G12D siRNA in patients with metastatic pancreatic cancer harboring a KRAS G12D mutation</article-title>. <source>J Clin Oncol</source>. (<year>2022</year>) <volume>40</volume>:<page-range>TPS633&#x2013;TPS</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2022.40.4_suppl.TPS633</pub-id>
</citation></ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yue</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>K</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Rapid surface display of mRNA antigens by bacteria-derived outer membrane vesicles for a personalized tumor vaccine</article-title>. <source>Advanced materials (Deerfield Beach Fla)</source>. (<year>2022</year>) <volume>34</volume>:<elocation-id>e2109984</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/adma.202109984</pub-id>, PMID: <pub-id pub-id-type="pmid">35315546</pub-id></citation></ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mayakonda</surname> <given-names>A</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>DC</given-names>
</name>
<name>
<surname>Assenov</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Plass</surname> <given-names>C</given-names>
</name>
<name>
<surname>Koeffler</surname> <given-names>HP</given-names>
</name>
</person-group>. <article-title>Maftools: efficient and comprehensive analysis of somatic variants in cancer</article-title>. <source>Genome Res</source>. (<year>2018</year>) <volume>28</volume>:<page-range>1747&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1101/gr.239244.118</pub-id>, PMID: <pub-id pub-id-type="pmid">30341162</pub-id></citation></ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Malekzadeh</surname> <given-names>P</given-names>
</name>
<name>
<surname>Pasetto</surname> <given-names>A</given-names>
</name>
<name>
<surname>Robbins</surname> <given-names>PF</given-names>
</name>
<name>
<surname>Parkhurst</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Paria</surname> <given-names>BC</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Neoantigen screening identifies broad TP53 mutant immunogenicity in patients with epithelial cancers</article-title>. <source>J Clin Invest</source>. (<year>2019</year>) <volume>129</volume>:<page-range>1109&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI123791</pub-id>, PMID: <pub-id pub-id-type="pmid">30714987</pub-id></citation></ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>F</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Du</surname> <given-names>J</given-names>
</name>
<name>
<surname>Su</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Neoantigen identification strategies enable personalized immunotherapy in refractory solid tumors</article-title>. <source>J Clin Invest</source>. (<year>2019</year>) <volume>129</volume>:<page-range>2056&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI99538</pub-id>, PMID: <pub-id pub-id-type="pmid">30835255</pub-id></citation></ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jhunjhunwala</surname> <given-names>S</given-names>
</name>
<name>
<surname>Hammer</surname> <given-names>C</given-names>
</name>
<name>
<surname>Delamarre</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Antigen presentation in cancer: insights into tumour immunogenicity and immune evasion</article-title>. <source>Nat Rev Cancer</source>. (<year>2021</year>) <volume>21</volume>:<fpage>298</fpage>&#x2013;<lpage>312</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41568-021-00339-z</pub-id>, PMID: <pub-id pub-id-type="pmid">33750922</pub-id></citation></ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Edner</surname> <given-names>NM</given-names>
</name>
<name>
<surname>Carlesso</surname> <given-names>G</given-names>
</name>
<name>
<surname>Rush</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Walker</surname> <given-names>LSK</given-names>
</name>
</person-group>. <article-title>Targeting co-stimulatory molecules in autoimmune disease</article-title>. <source>Nat Rev Drug discovery</source>. (<year>2020</year>) <volume>19</volume>:<page-range>860&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41573-020-0081-9</pub-id>, PMID: <pub-id pub-id-type="pmid">32939077</pub-id></citation></ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Curtsinger</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Lins</surname> <given-names>DC</given-names>
</name>
<name>
<surname>Mescher</surname> <given-names>MF</given-names>
</name>
</person-group>. <article-title>Signal 3 determines tolerance versus full activation of naive CD8 T cells: dissociating proliferation and development of effector function</article-title>. <source>J Exp Med</source>. (<year>2003</year>) <volume>197</volume>:<page-range>1141&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1084/jem.20021910</pub-id>, PMID: <pub-id pub-id-type="pmid">12732656</pub-id></citation></ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>You</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>F</given-names>
</name>
<name>
<surname>Du</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>A photo-activable nano-agonist for the two-signal model of T cell <italic>in vivo</italic> activation</article-title>. <source>J Controlled release</source>. (<year>2023</year>) <volume>361</volume>:<page-range>681&#x2013;93</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jconrel.2023.08.033</pub-id>, PMID: <pub-id pub-id-type="pmid">37595667</pub-id></citation></ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Choi</surname> <given-names>SE</given-names>
</name>
<name>
<surname>Khoo</surname> <given-names>H</given-names>
</name>
<name>
<surname>Hur</surname> <given-names>SC</given-names>
</name>
</person-group>. <article-title>Recent advances in microscale electroporation</article-title>. <source>Chem Rev</source>. (<year>2022</year>) <volume>122</volume>:<page-range>11247&#x2013;86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.chemrev.1c00677</pub-id>, PMID: <pub-id pub-id-type="pmid">35737882</pub-id></citation></ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gilmore</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Johnston</surname> <given-names>EL</given-names>
</name>
<name>
<surname>Bitto</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Zavan</surname> <given-names>L</given-names>
</name>
<name>
<surname>O&#x2019;Brien-Simpson</surname> <given-names>N</given-names>
</name>
<name>
<surname>Hill</surname> <given-names>AF</given-names>
</name>
<etal/>
</person-group>. <article-title>Bacteroides fragilis outer membrane vesicles preferentially activate innate immune receptors compared to their parent bacteria</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>970725</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.970725</pub-id>, PMID: <pub-id pub-id-type="pmid">36304461</pub-id></citation></ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gilmore</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Johnston</surname> <given-names>EL</given-names>
</name>
<name>
<surname>Zavan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Bitto</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Kaparakis-Liaskos</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Immunomodulatory roles and novel applications of bacterial membrane vesicles</article-title>. <source>Mol Immunol</source>. (<year>2021</year>) <volume>134</volume>:<fpage>72</fpage>&#x2013;<lpage>85</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.molimm.2021.02.027</pub-id>, PMID: <pub-id pub-id-type="pmid">33725501</pub-id></citation></ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bitto</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>L</given-names>
</name>
<name>
<surname>Johnston</surname> <given-names>EL</given-names>
</name>
<name>
<surname>Pathirana</surname> <given-names>R</given-names>
</name>
<name>
<surname>Phan</surname> <given-names>TK</given-names>
</name>
<name>
<surname>Poon</surname> <given-names>IKH</given-names>
</name>
<etal/>
</person-group>. <article-title>Staphylococcus aureus membrane vesicles contain immunostimulatory DNA, RNA and peptidoglycan that activate innate immune receptors and induce autophagy</article-title>. <source>J extracellular vesicles</source>. (<year>2021</year>) <volume>10</volume>:<elocation-id>e12080</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jev2.12080</pub-id>, PMID: <pub-id pub-id-type="pmid">33815695</pub-id></citation></ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Micoli</surname> <given-names>F</given-names>
</name>
<name>
<surname>MacLennan</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Outer membrane vesicle vaccines</article-title>. <source>Semin Immunol</source>. (<year>2020</year>) <volume>50</volume>:<fpage>101433</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.smim.2020.101433</pub-id>, PMID: <pub-id pub-id-type="pmid">33309166</pub-id></citation></ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Nie</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Nanocarriers based on bacterial membrane materials for cancer vaccine delivery</article-title>. <source>Nat Protoc</source>. (<year>2022</year>) <volume>17</volume>:<page-range>2240&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41596-022-00713-7</pub-id>, PMID: <pub-id pub-id-type="pmid">35879454</pub-id></citation></ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Miao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>He</surname> <given-names>S</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Tumour-derived extracellular vesicle membrane hybrid lipid nanovesicles enhance siRNA delivery by tumour-homing and intracellular freeway transportation</article-title>. <source>J extracellular vesicles</source>. (<year>2022</year>) <volume>11</volume>:<elocation-id>e12198</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jev2.12198</pub-id>, PMID: <pub-id pub-id-type="pmid">35233952</pub-id></citation></ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lyu</surname> <given-names>P</given-names>
</name>
<name>
<surname>Yoo</surname> <given-names>K</given-names>
</name>
<name>
<surname>Yadav</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Singh</surname> <given-names>R</given-names>
</name>
<name>
<surname>Atala</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Engineered extracellular vesicles as versatile ribonucleoprotein delivery vehicles for efficient and safe CRISPR genome editing</article-title>. <source>J extracellular vesicles</source>. (<year>2021</year>) <volume>10</volume>:<elocation-id>e12076</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jev2.12076</pub-id>, PMID: <pub-id pub-id-type="pmid">33747370</pub-id></citation></ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rueter</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bielaszewska</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Secretion and Delivery of Intestinal Pathogenic Escherichia coli Virulence Factors via Outer Membrane Vesicles</article-title>. <source>Front Cell infection Microbiol</source>. (<year>2020</year>) <volume>10</volume>:<elocation-id>91</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcimb.2020.00091</pub-id>, PMID: <pub-id pub-id-type="pmid">32211344</pub-id></citation></ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Zou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>The role and mechanisms of gram-negative bacterial outer membrane vesicles in inflammatory diseases</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1157813</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1157813</pub-id>, PMID: <pub-id pub-id-type="pmid">37398647</pub-id></citation></ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sayour</surname> <given-names>EJ</given-names>
</name>
<name>
<surname>Grippin</surname> <given-names>A</given-names>
</name>
<name>
<surname>De Leon</surname> <given-names>G</given-names>
</name>
<name>
<surname>Stover</surname> <given-names>B</given-names>
</name>
<name>
<surname>Rahman</surname> <given-names>M</given-names>
</name>
<name>
<surname>Karachi</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Personalized tumor RNA loaded lipid-nanoparticles prime the systemic and intratumoral milieu for response to cancer immunotherapy</article-title>. <source>Nano letters</source>. (<year>2018</year>) <volume>18</volume>:<page-range>6195&#x2013;206</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1021/acs.nanolett.8b02179</pub-id>, PMID: <pub-id pub-id-type="pmid">30259750</pub-id></citation></ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zou</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhuang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>N</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Z</given-names>
</name>
<etal/>
</person-group>. <article-title>MYC inhibition increases PD-L1 expression induced by IFN-&#x3b3; in hepatocellular carcinoma cells</article-title>. <source>Mol Immunol</source>. (<year>2018</year>) <volume>101</volume>:<page-range>203&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.molimm.2018.07.006</pub-id>, PMID: <pub-id pub-id-type="pmid">30007230</pub-id></citation></ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moon</surname> <given-names>JW</given-names>
</name>
<name>
<surname>Kong</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>BS</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>HJ</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>H</given-names>
</name>
<name>
<surname>Noh</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>IFN&#x3b3; induces PD-L1 overexpression by JAK2/STAT1/IRF-1 signaling in EBV-positive gastric carcinoma</article-title>. <source>Sci Rep</source>. (<year>2017</year>) <volume>7</volume>:<fpage>17810</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-017-18132-0</pub-id>, PMID: <pub-id pub-id-type="pmid">29259270</pub-id></citation></ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Knopf</surname> <given-names>P</given-names>
</name>
<name>
<surname>Stowbur</surname> <given-names>D</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>SHL</given-names>
</name>
<name>
<surname>Hermann</surname> <given-names>N</given-names>
</name>
<name>
<surname>Maurer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bucher</surname> <given-names>V</given-names>
</name>
<etal/>
</person-group>. <article-title>Acidosis-mediated increase in IFN-&#x3b3;-induced PD-L1 expression on cancer cells as an immune escape mechanism in solid tumors</article-title>. <source>Mol cancer</source>. (<year>2023</year>) <volume>22</volume>:<fpage>207</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12943-023-01900-0</pub-id>, PMID: <pub-id pub-id-type="pmid">38102680</pub-id></citation></ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Okada</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shimizu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Iyoda</surname> <given-names>T</given-names>
</name>
<name>
<surname>Ueda</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shinga</surname> <given-names>J</given-names>
</name>
<name>
<surname>Mochizuki</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>PD-L1 expression affects neoantigen presentation</article-title>. <source>iScience</source>. (<year>2020</year>) <volume>23</volume>:<fpage>101238</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.isci.2020.101238</pub-id>, PMID: <pub-id pub-id-type="pmid">32629606</pub-id></citation></ref>
</ref-list>
</back>
</article>