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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
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<issn pub-type="epub">1664-3224</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="doi">10.3389/fimmu.2026.1765165</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>Albumin-bound paclitaxel drives a cytotoxic CD8<sup>+</sup> T cell enriched immune microenvironment in triple negative breast cancer</article-title>
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<contrib-group>
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<name><surname>Luo</surname><given-names>Daiqin</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="aff3"><sup>3</sup></xref>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
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<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Zeng</surname><given-names>Zhu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<aff id="aff1"><label>1</label><institution>School of Biology &amp; Engineering, Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Oncology, Affiliated Hospital of Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Oncology, Affiliated Cancer Hospital of Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Interventional Radiology, Affiliated Hospital of Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Engineering Center of Cellular Immunotherapy of Guizhou Province</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Key Laboratory of Microbio and Infectious Disease Prevention &amp; Control of Guizhou</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff7"><label>7</label><institution>Key Laboratory of Infectious Immunity and Antibody Engineering of Guizhou Province</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff8"><label>8</label><institution>Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education, Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff9"><label>9</label><institution>National Key Laboratory for the Exploration and Utilization of Functional Components in Traditional Chinese Medicine, Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff10"><label>10</label><institution>School of Public Health, Guizhou Medical University</institution>, <city>Guiyang</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Zhu Zeng, <email xlink:href="mailto:zengzhu@gmc.edu.cn">zengzhu@gmc.edu.cn</email>; Jinhua Long, <email xlink:href="mailto:longjinhua100@sina.cn">longjinhua100@sina.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1765165</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>23</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Luo, Jin, Zhang, Zeng, Zhang, Li, Xiong, Luo, Hu, Long and Zeng.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Luo, Jin, Zhang, Zeng, Zhang, Li, Xiong, Luo, Hu, Long and Zeng</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high metastatic potential and resistance to conventional therapies, representing a significant clinical challenge. Although nano albumin-bound paclitaxel (nab-PTX) has demonstrated generally good treatment effect, the mechanisms underlying its enhanced therapeutic performance, particularly its potential immunomodulatory effects, remain unclear.</p>
</sec>
<sec>
<title>Methods</title>
<p>Using both <italic>in vitro</italic> and <italic>in vivo</italic> TNBC models, we investigated the immunomodulatory effects of nab-PTX. Specifically, we evaluated its ability to induce immunogenic cell death (ICD), activate dendritic cells (DCs) via the cGAS-STING signaling pathway, and influence CD8<sup>+</sup> T cell recruitment and infiltration within the tumor microenvironment.</p>
</sec>
<sec>
<title>Results</title>
<p>Treatment with nab-PTX induced ICD in TNBC cells was associated with enhanced activation of DCs through the cGAS-STING pathway. This activation was accompanied by improved antigen presentation and a significant increase in intratumoral CD8<sup>+</sup> T cell infiltration. Collectively, these immune alterations suggest that nab-PTX contributes to a more immunologically active tumor microenvironment, characterized by heightened T cell mediated immune engagement.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our study indicate that, beyond its direct cytotoxic effects, nab-PTX may exert anti-tumor activity in TNBC through modulation of the tumor immune microenvironment. By inducing ICD and promoting DCs activation, nab-PTX appears to support CD8<sup>+</sup> T cell recruitment, thereby potentially enhancing immune mediated tumor regression. This immunologically supportive role of nab-PTX highlights its potential value in strategies aimed at improving the efficacy of chemotherapy based or immunotherapy combined treatments in TNBC.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dendritic cells</kwd>
<kwd>ICD</kwd>
<kwd>immune response against cancer</kwd>
<kwd>nab-PTX</kwd>
<kwd>TNBC</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Grants from the National Natural Science Foundation of China (grant number:12132006, ZZ; 31771014, ZZ; 32371373, ZZ; 11762006, ZZ and 82060555, JL); Doctor Start-up Fund of Affiliated Hospital of Guizhou Medical University (grant number: gyfybsky-2025-25, DLu); Science and Technology Program of Guizhou Province (ZK [2024] Key Project 046, JL); Science and Technology Foundation of the Health Commission of Guizhou province, (gzwkj 2025-618, DLu and gzwkj 2021-058, DLu); Natural Science Research Project of Education Department of Guizhou Province (grant number: YJSKYJJ [2021] 158, DLu).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="13"/>
<word-count count="5788"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Breast cancer is the second most common malignancy in women, with triple-negative breast cancer (TNBC) comprising 10&#x2013;20% of cases (<xref ref-type="bibr" rid="B1">1</xref>). Defined by the absence of estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2) (<xref ref-type="bibr" rid="B2">2</xref>), TNBC is unresponsive to endocrine or HER2-targeted therapies and is characterized by high metastatic potential, chemotherapy resistance, and poor prognosis (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), underscoring the urgent need for improved treatments.</p>
<p>Albumin-bound paclitaxel (nab-PTX), a nanoparticle formulation of paclitaxel bound to human serum albumin, has demonstrated superior efficacy compared with conventional paclitaxel in TNBC (<xref ref-type="bibr" rid="B5">5</xref>). Nab-PTX exhibits enhanced pharmacokinetics and tumor penetration and is frequently combined with immune checkpoint inhibitors (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Although its clinical benefits are well recognized, the molecular basis of its antitumor activity remains incompletely understood. Nab-PTX efficacy may stem from its ability to induce immunogenic cell death (ICD) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), a regulated process that activates adaptive immunity. Under pathological conditions such as necrosis or cellular stress, dying tumor cells release or expose damage-associated molecular patterns (DAMPs) (<xref ref-type="bibr" rid="B10">10</xref>), including surface calreticulin (CRT), extracellular ATP, heat shock protein 70 (HSP70), and nuclear proteins such as high mobility group box 1 (HMGB1). These molecules engage pattern recognition receptors on antigen-presenting cells, particularly dendritic cells (DCs), promoting antigen uptake, processing, and presentation (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). This enhances tumor immunogenicity, remodels the immune microenvironment, and converts &#x201c;cold&#x201d; tumors into &#x201c;hot,&#x201d; improving immunotherapy response (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Given these insights, we hypothesize that nab-PTX augments antitumor immunity in TNBC via ICD induction and DCs activation. To test this, we investigated how nab-PTX-treated TNBC cell-derived products influence DCs function and explored the underlying molecular mechanisms driving this interaction.</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 cultures</title>
<p>Human MDA-MB-231 and mouse 4T1 cell lines were obtained from the Chinese Academy of Sciences (Shanghai, China). The MDA-MB-231 cells were maintained in complete Leibovitz L15 medium (Gibco, USA), while 4T1 cells were cultured in complete Dulbecco&#x2019;s modified Eagle medium (Gibco, USA). Cells were incubated at 37 &#xb0;C in a humidified 5% CO<sub>2</sub> atmosphere.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Isolations and generations of PBMCs and human DCs</title>
<p>PBMCs were isolated from heparinized blood of healthy donors using Ficoll-Paque density gradient centrifugation. To induce immature dendritic cells (imDCs), the harvested PBMCs were cultured in the presence of recombinant human GM-CSF (rhGM-CSF) and interleukin-4 (rhIL-4) over a 5-day differentiation period. Mature dendritic cells (mDCs) were subsequently induced by exposing imDCs to tumor necrosis factor-alpha (TNF-&#x3b1;) and interferon-gamma (IFN-&#x3b3;).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Isolation and culture of CD3<sup>+</sup>T cells from healthy human peripheral blood</title>
<p>From this same PBMC pool, a portion was differentiated into immature DCs, while CD3<sup>+</sup> T cells were simultaneously isolated via immunomagnetic separation. This approach ensured that the DCs and T cells used in any given co-culture experiment were autologous. The purified cell pellet was carefully reconstituted in 10 mL of ImmunoCult-XF T Cell Expansion Medium and cultivated under tightly controlled physiological conditions within T75 culture flasks.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Cell viability assay</title>
<p>Cell viabilities under gradient concentrations of nab-PTX (1 nM-100 &#xb5;M) (YBH16872021, Hengrui Medicine Co., Ltd) exposure were systematically quantified employing the CCK-8 assay kit (Abcam, USA) in strict adherence to the manufacturer&#x2019;s standardized protocols.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Apoptosis analysis by flow cytometry</title>
<p>The cell apoptosis was quantified through flow cytometry employing an Annexin V-FITC/PI apoptosis detection kit (Merck Millipore, USA) after a 48-hour treatment period with incremental concentrations of nab-PTX.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Transwell assay</title>
<p>DCs were pretreated with conditioned medium for 24 hours before the migration assay to assess their motility. After incubation, DCs were seeded into the upper chambers of 6-well BD Falcon<sup>&#xae;</sup> Transwells. After 24 hours, migrated cells were counted. Migration efficiency was calculated as (migrated DCs/total DCs) &#xd7;100%, providing a quantitative measure of motility.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Western blot assay</title>
<p>Western blotting was performed according to standard protocols. Briefly, total protein was extracted after treatment, separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and transferred to nitrocellulose membranes. Membranes were incubated overnight with primary antibodies at specified dilutions, including anti-cyclic GMP-AMP synthase (cGAS) (1:10,000, Abcam, USA, ab302671), anti-stimulator of interferon genes (STING) (1:10,000, Abcam, USA, ab239074), anti-phospho-STING (1:10,000, Cell Signaling Technology, USA, 50907T), anti-TANK-binding kinase 1 (TBK1) (1:10,000, Abcam, USA, ab40676), anti-phospho-TBK1 (1:10,000, Abcam, USA, ab109272), anti-interferon regulatory factor 3 (IRF3) (1:10,000, Abcam, USA, ab68481), and anti-phospho-IRF3 (1:10,000, Abcam, USA, ab76493). Protein band intensities were quantified using Image J for statistical analysis.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Immunohistochemistry</title>
<p>Tumor specimens were embedded in paraffin blocks and incubated with anti-CD11c primary antibody (diluted at 1:100 ratio; CST #97586S, Cell Signaling Technology, USA) at 4 &#xb0;C for 16 hours. Specimens were then treated with HRP-conjugated secondary antibody and imaged using high-resolution digital microscopy.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Immunofluorescence</title>
<p>Cells were immunostained with primary antibodies: anti-HMGB1 (1:100 dilution, Abcam, USA, ab18256) and anti-CD11c (1:100 dilution, Abcam, USA, ab52632). Samples were then treated with Alexa Fluor 488-conjugated secondary antibody (1:1000 dilution, Thermo Fisher Scientific, USA) followed by nuclear counterstaining with 4&#x2019;,6-diamidino-2-phenylindole (DAPI).</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Total RNA extraction and quantitative real-time PCR</title>
<p>Total RNA was extracted from cellular specimens utilizing TRIzol&#x2122; Reagent (Thermo Fisher Scientific, USA) in strict accordance with the manufacturer&#x2019;s guidelines. Subsequently, first-strand cDNA synthesis was performed with the High Capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific, USA). Quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays were carried out on a Bio-Rad CFX platform using iTaq Universal SYBR Green (Bio-Rad, USA), with primer sequences specified in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Primers used in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Primer ID</th>
<th valign="middle" align="left">Sequence (5&#x2019;-3&#x2019;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">HMGB-1-F</td>
<td valign="middle" align="left">AAATGAAAACCTATATCCCTCCC</td>
</tr>
<tr>
<td valign="middle" align="left">HMGB-1-R</td>
<td valign="middle" align="left">GGGCGATACTCAGAGCAGAAG</td>
</tr>
<tr>
<td valign="middle" align="left">CRT &#x2013;F</td>
<td valign="middle" align="left">AGATAAAGGTTTGCAGACAAGC</td>
</tr>
<tr>
<td valign="middle" align="left">CRT &#x2013;R</td>
<td valign="middle" align="left">CATGTCTGTCTGGTCCAAACTA</td>
</tr>
<tr>
<td valign="middle" align="left">Hsp70A1A &#x2013;F</td>
<td valign="middle" align="left">GACTCCCGTTGTCCCAAG</td>
</tr>
<tr>
<td valign="middle" align="left">Hsp70A1A -R</td>
<td valign="middle" align="left">CGGTTCCCTGCTCTCTGT</td>
</tr>
<tr>
<td valign="middle" align="left">Caspase-3-F</td>
<td valign="middle" align="left">GGAACAAATGGACCTGTTGAC</td>
</tr>
<tr>
<td valign="middle" align="left">Caspase-3-R</td>
<td valign="middle" align="left">CTCAATGCCACAGTCCAGTTC</td>
</tr>
<tr>
<td valign="middle" align="left">CD80-F</td>
<td valign="middle" align="left">GTGGTCACAATGTTTCTGTTGA</td>
</tr>
<tr>
<td valign="middle" align="left">CD80-R</td>
<td valign="middle" align="left">GTTCTTGTACTCGGGCCATATA</td>
</tr>
<tr>
<td valign="middle" align="left">CD86-F</td>
<td valign="middle" align="left">TGCTCATCTATACACGGTTACC</td>
</tr>
<tr>
<td valign="middle" align="left">CD86-R</td>
<td valign="middle" align="left">TGCATAACACCATCATACTCGA</td>
</tr>
<tr>
<td valign="middle" align="left">CD40-F</td>
<td valign="middle" align="left">TCACCTCGCTATGGTTCGTC</td>
</tr>
<tr>
<td valign="middle" align="left">CD40-R</td>
<td valign="middle" align="left">GGAAGGCATTCCGTTTCAGT</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR &#x2013;F</td>
<td valign="middle" align="left">CCAGAGACTACAGAGAATGTGG</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR &#x2013;R</td>
<td valign="middle" align="left">TTGATGATGAAGATGGTCCCAA</td>
</tr>
<tr>
<td valign="middle" align="left">GAPDH &#x2013;F</td>
<td valign="middle" align="left">GACCTGACCTGCCGTCTA</td>
</tr>
<tr>
<td valign="middle" align="left">GAPDH &#x2013;R</td>
<td valign="middle" align="left">AGGAGTGGGTGTCGCTGT</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Enzyme-linked immunosorbent assay</title>
<p>The analytical measurements were performed using commercially available ELISA kits, with all protocols meticulously followed according to manufacturers&#x2019; specifications. Optical density values were then precisely measured through microplate spectrophotometry at designated wavelengths.</p>
</sec>
<sec id="s2_12">
<label>2.12</label>
<title>Xenograft models</title>
<p>Female BALB/c mice (6&#x2013;8 weeks old, 17 &#xb1; 3g body weight) sourced from Animal Experimental Center of Guizhou Medical University, were housed in room temperature (20-26 &#xb0;C) and specific pathogen-free (SPF) environment. To avoid rejection and foreign body response, BALB/c mice underwent subcutaneous implantation of mouse 4T1 cells in the right flank region. When tumors reached an average volume of ~100 mm<sup>3</sup>, the mice were randomly assigned to two experimental cohorts: a control group receiving PBS solution and a treatment group administered nab-PTX via therapeutic intraperitoneal injection on days 7, 11, and 15. After 19 days post-tumor injection, the mice were euthanized by isoflurane inhalation (Isofluorane, R510-22, RWD Life Science Co, China), and the tumors were removed and weighed.</p>
</sec>
<sec id="s2_13">
<label>2.13</label>
<title>Co-culture of imDCs with conditioned medium</title>
<p>Conditioned media from MDA-MB-231 cells, treated with 5 nM nab-PTX for 48 hours or untreated controls (NC) in Leibovitz L15 medium, were added to 6-well plates. ImDCs were cultured in these conditioned media (imDCs+nab-PTX and imDCs+NC) under standard conditions. After 48 hours, cells were harvested for further experiments.</p>
</sec>
<sec id="s2_14">
<label>2.14</label>
<title>Analyses of T cell subsets</title>
<p>DCs were primed with conditioned medium and co-cultured with T cells at a 1:10 ratio for 48 hours. After incubation, supernatants were collected and aliquoted into sterile microcentrifuge tubes for ELISA.</p>
</sec>
<sec id="s2_15">
<label>2.15</label>
<title>Bioinformatics analysis</title>
<p>Proteomic data were collected from tumor tissues of three mice per group (nab-PTX treated and control) and analyzed by liquid chromatography-mass spectrometry (LC-MS). Differentially expressed proteins were identified through comparative profiling and subsequently subjected to Gene Ontology (GO) classification and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Functional annotation was performed using EggNOG-mapper (v2.0) for GO categorization, and KEGG pathway annotation was conducted via BLAST searches against the KEGG database. The disease-free survival (DFS) and overall survival (OS) were evaluated by the Gene Expression Profiling Interactive Analysis 2 (GEPIA 2) platform (<ext-link ext-link-type="uri" xlink:href="http://gepia2.cancer-pku.cn/#survival">http://gepia2.cancer-pku.cn/#survival</ext-link>). Prognostic correlations across subtypes, with a specific emphasis on TNBC, were examined using bc-GenExMiner v4.9. Protein-protein interaction networks were mapped via the STRING database (<ext-link ext-link-type="uri" xlink:href="https://cn.string-db.org/">https://cn.string-db.org/</ext-link>), while UALCAN (<ext-link ext-link-type="uri" xlink:href="https://ualcan.path.uab.edu/">https://ualcan.path.uab.edu/</ext-link>) facilitated comparative analyses of GZMB and CD8&#x3b1; expression profiles between malignant and adjacent normal tissues.</p>
</sec>
<sec id="s2_16">
<label>2.16</label>
<title>Statistical analysis</title>
<p>All the data were analyzed from at least three independent experiments and the quantification results were expressed as mean&#x2009;&#xb1;&#x2009;SD. Data met the assumption of the statistic tests. Statistical comparisons between two groups were conducted by using the Student&#x2019;s <italic>t</italic> test and between multiple groups using one or two-way ANOVA using the Prism software (v.7.0, GraphPad, San Diego, CA), whereas image J program was used for picture analysis. Statistical significance was defined as *<italic>p</italic> &lt; 0.05.</p>
</sec>
<sec id="s2_17">
<label>2.17</label>
<title>nab-PTX induced ICD of TNBC <italic>in vitro</italic></title>
<p>To determine the optimal nab-PTX treatment conditions, MDA-MB-231 cells were exposed to graded concentrations. CCK-8 assays revealed a significant, dose- and time-dependent inhibition of cell proliferation (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>, P &lt; 0.001). Treatment with 1 nM for 24, 48, and 72 hours resulted in proliferation rates of approximately 80-90%. When the concentration was increased to 5 nM for the same durations, proliferation decreased to roughly 60-80%. Treatment with 100 nM or higher concentrations led to a more pronounced reduction in proliferation; notably, after exposure to 100 &#x3bc;M for 72 hours, the cells were almost completely unable to adhere, and the proliferation rate dropped to around 10%. Based on these findings, subsequent experiments were conducted using untreated controls and cells treated with 5 nM nab-PTX for 48 hours. Flow cytometry analysis confirmed that nab-PTX induced apoptosis (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). To further evaluate its immunogenic potential, RT-qPCR was performed to quantify canonical ICD biomarkers (HMGB1, CRT, HSP70A1A, and Caspase-3), which were significantly upregulated across treatment groups (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Consistently, ELISA demonstrated elevated extracellular levels of HMGB1, CRT, and HSP70 in the supernatants of nab-PTX&#x2013;treated cells (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). Immunofluorescence imaging additionally revealed nuclear-to-cytoplasmic HMGB1 translocation in treated cells compared with controls (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>). Collectively, these findings demonstrate that nab-PTX triggers the release of ICD associated DAMPs.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Effects of albumin-paclitaxel on the immunogenic cell death of MDA-MB-231 cells. <bold>(A)</bold> Cell viability of MDA-MB-231 cells treated with varying concentrations of nab-PTX was assessed at 24, 48, and 72 hours. <bold>(B)</bold> Apoptosis was evaluated by Annexin V/PI staining, with representative flow cytometry plots and quantification shown after 24 h of 5 nM nab-PTX treatment. <bold>(C)</bold> Expression of ICD-related genes, including HMGB1, CRT, HSP70A1A, and Caspase-3, was analyzed by RT-qPCR. <bold>(D)</bold> ELISA measurement of ICD-related proteins in MDA-MB-231 culture medium. <bold>(E)</bold> Visualization of HMGB1 as detected by anti-HMGB1 immunofluorescence (red). In <bold>(C-E)</bold>-related experiments, MDA-MB-231 cells were treated with nab-PTX (5 nM) for 24 h. * <italic>p</italic>&lt;0.05, ** <italic>p</italic>&lt;0.01, *** <italic>p</italic>&lt;0.001 , **** <italic>p</italic>&lt;0.0001, versus control. ns, not significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g001.tif">
<alt-text content-type="machine-generated">Composite scientific figure showing: (A) bar graph of cell survival decreasing with increasing drug concentration and time; (B) flow cytometry plots comparing apoptosis between NC and nab-PTX with increased apoptosis in nab-PTX; (C) bar graphs of relative mRNA levels for HMGB1, CRT, HSP70A1A, and Caspase-3, showing upregulation after nab-PTX treatment; (D) bar graphs for protein concentrations, all higher in nab-PTX; (E) fluorescence microscopy panels of NC and nab-PTX, with increased red HMGB1 staining in nab-PTX and nuclei stained blue.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_18">
<label>2.18</label>
<title>The conditioned medium stimulated the maturation of imDCs and the cytokine secretion of DCs</title>
<p>Given the central role of DCs in T cell activation, we investigated the impact of conditioned medium on DC maturation. PBMCs from healthy donors were differentiated into imDCs and mDCs using standard protocols (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Confocal microscopy confirmed cell integrity and distinct morphology (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). Conditioned medium from MDA-MB-231 cells exposed to nab-PTX for 48 hours was used in subsequent experiments. ImDCs cultured in conditioned medium showed significant upregulation of maturation markers (CD80, CD86, CD40, HLA-DR) compared with controls, as measured by qRT-PCR (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). Transwell assays compared migratory behavior under different conditions. Spontaneous migration was similar between controls (23-33%) and treated groups (24-35%), but conditioned medium&#x2013;treated DCs exhibited enhanced chemotaxis (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>). Phagocytosis assays revealed reduced FITC-dextran uptake in conditioned medium-treated DCs (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2E</bold></xref>). Cytokine profiling showed increased secretion of IFN-&#x3b1;, IFN-&#x3b2;, IL-2, IL-12, CCL5, and CXCL10 in treated groups (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2F</bold></xref>). Collectively, these findings demonstrate that conditioned medium promotes imDC maturation into mDCs, characterized by enhanced chemotaxis and elevated cytokine and chemokine secretion.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The conditioned medium could induce the maturation of imDCs and stimulate DCs to secrete cytokines. <bold>(A)</bold> imDCs were isolated from peripheral blood of healthy donors. <bold>(B)</bold> Immature and mature DCs were analyzed by confocal microscopy. <bold>(C-F)</bold> imDCs were incubated for 24 h in medium alone (NC) or in the conditioned medium (nab-PTX) (n=3 in each group). <bold>(C)</bold> CD80, CD86, CD40, and HLA-DR expression in DCs was determined by real-time PCR. <bold>(D)</bold> The Transwell migration assay was used to detect the free migration ability and the chemotactic ability towards 250ng/mL CCL19 of DCs <italic>in vitro</italic>. <bold>(E)</bold> Flow cytometry analysis of DCs phagocytosis of FITC-labeled dextrans. <bold>(F)</bold> Cytokine levels such as IFN-&#x3b1;,IFN-&#x3b2;,IL-2,IL-12,CCL-5,and CXCL10 in supernatants from DCs cultures measured by ELISA. * <italic>p</italic>&lt;0.05, ** <italic>p</italic>&lt;0.01, *** <italic>p</italic>&lt;0.001 , **** <italic>p</italic>&lt;0.0001, versus control. ns, not significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g002.tif">
<alt-text content-type="machine-generated">Panel A shows a stepwise workflow for generating human monocytic dendritic cells from peripheral blood, using illustrations of blood collection, centrifugation, cell isolation, and culture. Panel B presents fluorescent microscopy images comparing immature and mature dendritic cells stained for F-actin (red), CD11c (green), DAPI (blue), and a merged view. Panel C displays bar graphs quantifying fold changes of CD80, CD83, CD40, and IL12/ARG gene expression versus a negative control. Panel D offers bar graphs showing free and chemotaxis migration rates and a percentage of FITC Dextran+ cells. Panel E provides two flow cytometry histograms comparing FITC-A+ populations between NC and nab-PTX. Panel F contains six bar graphs reporting concentrations of various cytokines (e.g., IFN-&#x3b3;, IL-12, CCL5, CXCL10) in supernatant for NC and nab-PTX groups.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_19">
<label>2.19</label>
<title>ImDCs that exposed in conditioned medium stimulated the cytokines secretion of CD8<sup>+</sup>T cells</title>
<p>Conditioned medium-activated imDCs were co-cultured with purified T cells for 24 hours (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>). To evaluate the immunomodulatory effects on T cell proliferation, CD3<sup>+</sup>T cells were isolated from PBMCs using magnetic sorting, reaching 92.3% purity confirmed by flow cytometry (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>). Co-culture with stimulated DCs significantly increased CD3<sup>+</sup>CD8<sup>+</sup>T cell subsets, rising from 28.7% in controls to 32.4% in the experimental group (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C, D</bold></xref>) (<italic>p</italic>&lt;0.05). These results suggest that conditioned medium&#x2013;activated imDCs promote T cell differentiation. To assess cytokine secretion, TNF-&#x3b1;, IFN-&#x3b3;, and Granzyme B (GZMB) were quantified by ELISA. TNF-&#x3b1; secretion increased from 12.1 &#xb1; 1.3 pg/mL in controls to 30.4 &#xb1; 2.7 pg/mL in treated groups (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>). IFN-&#x3b3; levels rose from 79.8 &#xb1; 6.5 pg/mL to 198.2 &#xb1; 12.1 pg/mL (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref>). GZMB production increased 2.1-fold in treated groups compared with controls ((<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>). Collectively, these findings show that conditioned medium&#x2013;activated imDCs enhance T cell effector responses by upregulating pro-inflammatory cytokines and cytotoxic mediators.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of DCs stimulated by conditioned medium on T cells. <bold>(A, B)</bold> Human CD3<sup>+</sup> T cells sorting and identification. <bold>(A)</bold> Flow chart of classification of T cells after co-incubation of DCs and T cells stimulated by conditioned medium. <bold>(B)</bold> Human CD3<sup>+</sup> T cells were isolated by magnetic beads and identified by FCM for purity, their purity was&gt;90%. <bold>(C, D)</bold> Flow cytometry was used to detect the differentiation of T cells after co-incubation of DCs which stimulated by conditioned medium. <bold>(C)</bold> Flow cytometry images; <bold>(D)</bold> Statistical figure graphed using GraphPad Prism 6.0. <bold>(E-G)</bold> DCs stimulated by conditioned medium stimulated T cells to secrete TNF-&#x3b1;, IFN-&#x3b3; and GZMB. *<italic>p</italic> &lt; 0.05, **<italic>p</italic> &lt; 0.01, ***<italic>p</italic> &lt; 0.001 versus control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g003.tif">
<alt-text content-type="machine-generated">Panel A shows a stepwise experimental workflow with illustrations for drug treatment, dendritic cell collection, supernatant incubation with T cells, and flow cytometry analysis. Panel B presents a flow cytometry histogram of CD3-positive T cells with the population marked at 92.3 percent. Panel C contains dot plots demonstrating APC-CD8 and FITC-CD3 staining in NC and nab-PTX groups, with quadrant percentages labeled. Panel D displays a bar graph comparing CD3+ CD8+ cell percentages between NC and nab-PTX, with nab-PTX significantly higher. Panels E, F, and G show bar graphs of TNF-&#x3b1;, IFN-&#x3b3;, and GZMB concentrations in supernatants, each significantly elevated in nab-PTX compared to NC.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_20">
<label>2.20</label>
<title>nab-PTX induced more infiltrations of DCs and CD8<sup>+</sup> T cells in the cancer tissue of TNBC mouse model</title>
<p>To assess the immunomodulatory effects of nab-PTX <italic>in vivo</italic>, TNBC mouse models were generated by orthotopic implantation of 4T1 cells into BALB/c mammary fat pads, with a schematic summarizing dosing and sample collection (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). During the 19-day treatment, longitudinal monitoring showed comparable physiological profiles, particularly body weight, between nab-PTX and saline groups (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4F</bold></xref>). Quantitative analysis showed significantly greater tumor suppression in nab-PTX-treated mice, with marked reductions in tumor volume (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4B, D, E</bold></xref>) and mass (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>) compared with controls. HE staining confirmed no toxic damage in major organs, including heart, liver, spleen, lung, and kidney (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4G</bold></xref>). Immunohistochemistry revealed robust DC infiltration in nab-PTX-treated tumors, with a 2.8-fold increase in CD11c<sup>+</sup>cell density compared with controls (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4H</bold></xref>). Immunofluorescence showed increased tumor-infiltrating CD8<sup>+</sup>T cells after nab-PTX treatment (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4I</bold></xref>). Molecular profiling revealed strong upregulation of GZMB in treated tumors, with western blot confirming a 2.1-fold protein increase versus controls (<italic>p</italic> &lt; 0.01, <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4J, K</bold></xref>). These findings demonstrate that nab-PTX enhances antitumor immunity by promoting DC activation and cytotoxic T cell-mediated tumor elimination.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>nab-PTX promotes CD8<sup>+</sup>T cell infiltration in 4T1 Balb/c mice model tumors <italic>in vivo</italic>. <bold>(A)</bold> Schematic design of mice TNBC model. Balb/c mice were acclimated to housing environment for 7 days followed by a injection of 5&#xd7;10<sup>5</sup> 4T1 cells under the mammary fat pad. The mice were then randomly sub-grouped for systemic treatments by nab-PTX (20 mg/kg), and the control group was infused with saline for 19 days. <bold>(B)</bold> Tumor size, <bold>(C)</bold> weight, <bold>(D)</bold> and volume in Balb/c tumor-bearing mice. <bold>(E)</bold> Tumor volume curve of Balb/c tumor-bearing mice. <bold>(F)</bold> Body weight growth curve of Balb/c tumor-bearing mice. <bold>(G)</bold> HE-stained tissue specimens of heart, liver, spleen, lung, and kidney from mice showing no toxic damage. <bold>(H)</bold> Immunohistochemistry for the expression of the DC marker CD11c in Balb/c mice tumors (n=5). <bold>(I)</bold> The representative immunofluorescence image of CD3<sup>+</sup> and CD8<sup>+</sup> T cell infiltration in Balb/c mice tumor tissues. <bold>(J)</bold> Assessment of the effect of the indicated treatment regimens on GZMB in the Balb/c mice tumors. Representative western blot images and quantification of GZMB. <bold>(K)</bold> The representative immunofluorescence image of GZMB infiltration in Balb/c mice tumor tissues.  **<italic>p</italic> &lt; 0.01, versus Control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g004.tif">
<alt-text content-type="machine-generated">Panel A shows a schematic of the experimental timeline and treatment with Nab-PTX in mice injected with 4T1 cells; Panel B displays excised tumor samples from two groups; Panels C and D present bar graphs comparing tumor weight and volume between NC and Nab-PTX groups; Panels E and F show line graphs of tumor volume growth and mouse weight over time; Panel G presents histological images of major organs for both groups; Panel H includes immunohistochemistry images and a bar graph quantifying CD11 positive cells; Panel I features fluorescent images of CD3 and CD8 markers with DAPI nuclear staining; Panel J shows western blot results and quantification for GZMB expression; Panel K presents fluorescent images of GZMB and DAPI with merged and zoomed views.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_21">
<label>2.21</label>
<title>CD8&#x251; and GZMB expressions are positively correlated with DFS and OS in breast cancer and TNBC subtype</title>
<p>To identify key prognostic factors in TNBC, the expression levels of CD8&#x251; gene and its clinical implications were investigated. The data revealed that elevated CD8&#x251; expression correlated with improved DFS and OS (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A, B</bold></xref>). Statistical analysis confirmed significantly enhanced DFS and OS in the high CD8&#x251; expression group compared to the low-expression cohort (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C, D</bold></xref>). Notably, CD8&#x251; downregulation was consistently observed in breast cancer tissues versus adjacent normal tissues (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5H</bold></xref>). Given GZMB&#x2019;s established role as a key cytotoxic effector in CD8<sup>+</sup> T cell immunity, a strong positive correlation between CD8&#x251; and GZMB expression patterns (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5E-G</bold></xref>) was identified. Survival analysis further demonstrated that GZMB levels emerged as independent predictors of prolonged DFS (<italic>p</italic> = 0.035, HR = 0.67) and OS (<italic>p</italic> = 0.032, HR = 0.7) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5I-J</bold></xref>), with this prognostic relationship proving most pronounced in TNBC subtypes (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5K-L</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Survival and prognostic values of CD8a and GZMB. Kaplan-Meier curve estimates of the DFS <bold>(A)</bold> and OS <bold>(B)</bold> of breast cancer patients at different CD8a gene levels; Kaplan-Meier curve estimates of the DFS <bold>(C)</bold> and OS <bold>(D)</bold> of TNBC patients at different CD8a gene levels; <bold>(E)</bold> CD8a protein interacts with granzyme protein family; <bold>(F-G)</bold> CD8a gene was positively correlated with GZMB gene; <bold>(H)</bold> CD8a gene is low expressed in breast cancer; Kaplan-Meier curve estimates of the DFS <bold>(I)</bold> and OS <bold>(J)</bold> of breast cancer patients at different GZMB gene levels; Kaplan-Meier curve estimates of the DFS <bold>(K)</bold> and OS <bold>(L)</bold> of TNBC patients at different CD8a gene levels. ***<italic>p</italic> &lt; 0.001, versus control.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g005.tif">
<alt-text content-type="machine-generated">Panel A and B show Kaplan-Meier survival curves comparing disease-free and overall survival between low and high CD8A expression groups. Panels C and D display Kaplan-Meier curves for CD8A expression and probability of overall survival in TNBC cohorts. Panel E presents a network diagram showing interactions among CD8A, GZMA, GZMB, and GZMC. Panel F is a scatter plot showing a positive correlation between CD8A and GZMB gene expression (R equals zero point seven one). Panel G presents a heatmap of expression levels for CD8A and GZMB. Panel H contains a box plot comparing GZMB expression in normal and primary tumor tissues. Panel I and J show survival curves for GZMB expression groups for disease-free and overall survival. Panels K and L display Kaplan-Meier survival curves associating GZMB expression with probability of overall survival in a TNBC cohort.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_22">
<label>2.22</label>
<title>nab-PTX remodeled the cancer immune microenvironment</title>
<p>To assess the immunomodulatory effects of nab-PTX <italic>in vivo</italic>, proteomic profiling was performed on tumor tissues from mouse models. Differential expression analysis revealed distinct molecular signatures between groups, illustrated in the hierarchical clustering heatmap (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). Mass spectrometry identified 7,143 proteins, of which 85 were upregulated and 58 downregulated (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>). Granzyme family members and chemokine-related proteins were among the most strongly upregulated (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6C</bold></xref>). KEGG pathway analysis showed that upregulated proteins were mainly involved in immune processes (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6D</bold></xref>). Functional annotation identified three main effects: regulation of bone marrow leukocyte differentiation, acute inflammatory responses, and T-cell cytokine production (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6E</bold></xref>). Molecular analysis highlighted chemokine activity and cytokine receptor binding as the most affected functions (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6F</bold></xref>). Subcellular localization showed that 64.3% of differentially expressed proteins were extracellular (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6G</bold></xref>), suggesting nab-PTX may enhance immune infiltration and antitumor responses via extracellular matrix remodeling.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Proteomic map of Balb/c mice tumor tissues. <bold>(A)</bold> Heat map of differentially expressed proteins (DEPs). <bold>(B)</bold> Statistical map of differential expression proteins. <bold>(C)</bold> Differential protein volcano map. <bold>(D)</bold> The biological functions influenced by the differentially expressed proteins. <bold>(E)</bold> DEPs were mainly enriched in inflammatory response, <bold>(F)</bold> chemokine activity, and cytokine activity. <bold>(G)</bold> Subcellular location analysis indicated that DEPs originated from all major cellular components, mainly the extracellular region.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g006.tif">
<alt-text content-type="machine-generated">Panel A contains a heatmap showing protein expression levels across samples with red indicating upregulation and blue indicating downregulation. Panel B presents a bar chart comparing numbers of upregulated and downregulated proteins between two groups. Panel C displays a volcano plot with identified upregulated and downregulated proteins color-coded, while unchanged proteins are shown in gray. Panel D is a horizontal bar chart summarizing the KEGG pathway enrichment of differentially expressed proteins. Panels E, F, and G are dot plots depicting Gene Ontology enrichment analysis for differentially expressed proteins, highlighting pathways and the number of proteins involved, with dots sized by protein count and color-coded by p-value.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_23">
<label>2.23</label>
<title>ImDCs were matured by conditioned medium via cGAS-STING signaling pathway</title>
<p>Western blot was performed to assess key protein expression in the cGAS-STING pathway of DCs after conditioned media exposure. Quantitative analysis showed marked upregulation of p-STING, p-TBK, and p-IRF3 in conditioned media-treated DCs compared with controls (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7A, B</bold></xref>). Treatment with H-151, a selective STING inhibitor, reduced STING expression in imDCs (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7C, D</bold></xref>). Conversely, the STING agonist G10 increased STING expression in complementary experiments (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7E, F</bold></xref>). Cytokine profiling showed that G10-stimulated imDCs had increased IL-2 and IL-12 secretion, along with elevated CCL5 and CXCL10. In contrast, H-151-treated imDCs maintained baseline IL-2, CCL5, and CXCL10 but showed reduced IL-12 production (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7G</bold></xref>). The cGAS-STING pathway significantly regulated TNF-&#x3b1;, IFN-&#x3b3;, and GZMB secretion (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7H</bold></xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>The cGAS-STING signaling pathway of imDCs was activated by conditioned medium to stimulate imDCs into mDCs. <bold>(A, B)</bold> The protein level of the cGAS-STING pathway by Western blot in two groups. <bold>(A)</bold> WB protein expression bands. <bold>(B)</bold> Quantification of WB signals measured as grey values using Image <bold>(J) (C-F)</bold> The expression of STING protein was detected by Western blotting. <bold>(C)</bold> Premedication with a STING protein inhibitor H-151. <bold>(D)</bold> Relative gray scale of WB analysis results in <bold>(C)</bold>. <bold>(E)</bold> Premedication with a STING protein agonist G10. <bold>(F)</bold> Relative gray scale of WB analysis results in <bold>(E)</bold>. <bold>(G)</bold> Cytokine levels such as IL-2, IL-12, CCL5, and CXCL10 in supernatants from DCs cultures measured by ELISA. <bold>(H)</bold> Cytokine levels such as TNF-&#x3b1; and IFN-&#x3b3;, and the protein level GZMB in supernatants from T cells cultures measured by ELISA. * <italic>p</italic>&lt;0.05, ** <italic>p</italic>&lt;0.01, *** <italic>p</italic>&lt;0.001 , **** <italic>p</italic>&lt;0.0001, versus control. ns, not significant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g007.tif">
<alt-text content-type="machine-generated">Composite scientific figure includes Western blots (panels A, C, E) showing protein expression of cGAS-STING pathway components, along with multiple bar charts (panels B, D, F, G, H) quantifying protein levels and cytokine concentrations under various experimental conditions, such as NC, nab-PTX, H-151, and G10, with statistical significance indicated by asterisks.</alt-text>
</graphic></fig>
<p>These findings found that conditioned media from nab-PTX-treated MDA-MB-231 cells enhanced imDC immunogenicity via cGAS-STING activation, promoting maturation and inducing IL-2, IL-12, CCL5, and CXCL10 production. This cytokine response drives CD8<sup>+</sup>T cell differentiation and activation, resulting in synergistic enhancement of anti-tumor immunity (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>nab-PTX activates the cGAS-STING signaling pathway in imDCs and induces CD8<sup>+</sup> T-cell infiltration in TNBC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1765165-g008.tif">
<alt-text content-type="machine-generated">Circular diagram illustrating the immunogenic cell death pathway in the tumor microenvironment. It depicts antigen release from tumor cells, activation and maturation of dendritic cells via cGAS-STING signaling, and subsequent T cell activation, leading to CD8 T cell-mediated tumor cell killing with cytokines and effector molecules.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s3" sec-type="discussion">
<label>3</label>
<title>Discussion</title>
<p>Combining immune checkpoint inhibitors with chemotherapy has emerged as a transformative strategy in oncology, particularly for cancers without targeted therapies, such as TNBC (<xref ref-type="bibr" rid="B15">15</xref>). Supported by the 2020 ESMO guidelines (<xref ref-type="bibr" rid="B16">16</xref>) and clinical evidence, notably the IMpassion130 study (<xref ref-type="bibr" rid="B17">17</xref>), atezolizumab plus nab-PTX is now the first line immunotherapy for PD-L1 positive metastatic TNBC. However, the molecular mechanisms underlying this synergistic clinical efficacy remain incompletely understood. Our study delineates a coherent immunostimulatory pathway activated by nab-PTX in TNBC models. It is important to note that the unique efficacy of nab-PTX in combination with immune checkpoint inhibitors, as evidenced by the success of the IMpassion130 regimen contrasted with the negative outcome of IMpassion131, suggests that its immunomodulatory effects may be quantitatively or qualitatively distinct. Recent translational research has begun to elucidate this difference. Several studies (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>) compared the tumor immune microenvironment in patients treated with taxanes different combinations. The albumin nanoparticle carrier likely alters drug distribution, enhances tumor penetration, and may facilitate a more potent or sustained immune activation, potentially explaining its status as the preferred partner for chemoimmunotherapy in TNBC.</p>
<p>The immunological basis of chemo-immunotherapy is chemotherapy induced ICD, driven by DAMPs such as CRT, extracellular ATP, and HMGB1 release (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Preclinical studies support the immunogenicity of taxanes, for example, Lau et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) demonstrated paclitaxel-induced ICD in ovarian carcinoma, while Scribano et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>) showed that ~10 nM paclitaxel triggered ICD through chromosomal segregation errors and multipolar spindle formation. Mechanistically, HMGB1 translocates from the nucleus to the cytoplasm during apoptosis, and its extracellular levels positively correlate with ICD progression (<xref ref-type="bibr" rid="B26">26</xref>). Consistently, Savage et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) showed that radiotherapy enhances tumor immunogenicity by upregulating CRT and HMGB1, findings supported by studies linking HMGB1 to CD8<sup>+</sup> T cell function and its overexpression in cancers. In line with this, our data revealed strong extracellular accumulation of HMGB1, CRT, and HSP70 after nab-PTX treatment, indicating that ICD induction likely contributes to its clinical efficacy. In this study, we demonstrate that nab-PTX induces the release of key DAMPs associated with ICD and is functionally linked to the activation of an antitumor immune response. It is important to note that while the observed DAMP profile is highly indicative of ICD, definitive functional proof, remains to be established in future studies.</p>
<p>Intratumoral DCs internalize tumor DNA, activating cGAS-STING signaling to enhance antigen presentation and T-cell activation (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Evidence identifies this axis as a central mediator of antitumor immunity (<xref ref-type="bibr" rid="B30">30</xref>). In our study, DCs exposed to medium from nab-PTX-treated TNBC cells showed strong upregulation of cGAS-STING components with elevated cytokine production. Co-culture with medium from STING-activated DCs increased IL-2, IL-12, CCL5, and CXCL10, whereas medium from STING-inhibited DCs reduced their secretion. This bidirectional effect confirms that conditioned medium acts as a STING agonist. Accordingly, medium from nab-PTX-treated MDA-MB-231 cells activated STING signaling in imDCs, enhancing cytokine secretion and CD8<sup>+</sup> T-cell cytotoxicity. While our data establish that conditioned medium from nab-PTX treated TNBC cells activates the cGAS-STING pathway in DCs, the specific identity of the key DAMPs responsible for this activation warrants further investigation. Although the release of nuclear DNA is a well characterized consequence of ICD and a canonical ligand for cGAS, future studies employing DNase treatment of conditioned medium or direct measurement of cytosolic DNA accumulation in DCs are needed to conclusively verify DNA as the principal trigger in this context, and to delineate its role relative to other co-released DAMPs.</p>
<p>Most TNBC patients exhibit low tumor-infiltrating lymphocytes, creating a &#x201c;cold tumor&#x201d; phenotype with poor therapeutic response (<xref ref-type="bibr" rid="B31">31</xref>). Our findings demonstrate that nab-PTX induces CD8<sup>+</sup>T-cell infiltration and reshapes the tumor immune microenvironment in TNBC mice. Beyond its role as a microtubule-stabilizing cytotoxic agent, nab-PTX modulates antitumor immunity, likely by regulating cytokine and chemokine expression. While our <italic>in vitro</italic> data clearly demonstrate nab-PTX conditioned medium activates the cGAS-STING pathway in human DCs, and our <italic>in vivo</italic> proteomic reveal a CD8<sup>+</sup> T cell inflamed tumor microenvironment consistent with this mechanism, future studies could directly assess the phosphorylation status of STING and IRF3 within tumor infiltrating immune cells from treated animals to provide additional confirmation of the pathway&#x2019;s engagement in the <italic>in vivo</italic> setting. It is important to note that while our data demonstrate activation of the cGAS-STING pathway in DCs exposed to conditioned medium from nab-PTX treated cells, the strict dependency of the subsequent T cell priming effects on this specific pathway was not genetically or pharmacologically validated in our main co-culture or <italic>in vivo</italic> models. Future studies utilizing cGAS-STING knockout DCs or specific pathway inhibitors in these functional assays will be crucial to establish a definitive causal link. Our conclusions are based primarily on murine models, and their applicability to clinical settings remains uncertain, given immunological and microenvironmental differences between mice and humans. Future work should therefore focus on validating the immunomodulatory effects of nab-PTX in patient samples and elucidating the molecular pathways through which it remodels the tumor immune microenvironment to inform optimized combination immunotherapies.</p>
</sec>
<sec id="s4" sec-type="conclusions">
<label>4</label>
<title>Conclusions</title>
<p>In summary, this study demonstrates that nab-PTX induces immunogenic cell death in MDA-MB-231 cells, leading to the release of DAMPs that engage the cGAS-STING pathway in DCs. Activation of this innate immune signaling axis enhances antigen presentation and is associated with increased infiltration of CD8<sup>+</sup> T cells within the tumor microenvironment, highlighting a functional link between innate immune sensing and adaptive T cell responses. From a tumor immunity perspective, these findings suggest that nab-PTX may contribute to shaping an immune microenvironment that supports T cell mediated antitumor activity rather than acting solely as a cytotoxic agent. Such immune modulation provides a mechanistic basis for combining nab-PTX with T cell directed immunotherapies, including immune checkpoint inhibitors, to potentially enhance antitumor immune responses in TNBC. However, given that the present conclusions are derived from murine models, further validation in human tumors is required. Future studies should focus on integrating clinical samples and combination treatment strategies to delineate how nab-PTX driven innate immune activation can be harnessed to optimize T cell dependent tumor immunity.</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>Ethical approval was not required for the studies on humans in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used. The animal study was approved by Guizhou Medical University Institutional Animal Ethics Committee. The study was conducted in accordance with the local legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>DLu: Visualization, Formal analysis, Writing &#x2013; original draft, Methodology, Data curation, Conceptualization, Writing &#x2013; review &amp; editing, Funding acquisition. XJ: Writing &#x2013; review &amp; editing, Data curation, Conceptualization, Writing &#x2013; original draft, Formal analysis, Methodology. SZ (3<sup>rd</sup> Author): Validation, Formal analysis, Supervision, Investigation, Software, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Conceptualization. XZ: Writing &#x2013; review &amp; editing, Formal analysis, Methodology, Investigation, Software, Validation. SZ (5<sup>th</sup> Author): Investigation, Writing &#x2013; review &amp; editing, Formal Analysis, Methodology, Validation, Data curation. DLi: Visualization, Software, Validation, Writing &#x2013; review &amp; editing, Methodology. WX: Data curation, Resources, Writing &#x2013; review &amp; editing, Visualization, Investigation. YL: Validation, Resources, Writing &#x2013; review &amp; editing, Software, Visualization. ZH: Writing &#x2013; review &amp; editing, Resources, Conceptualization, Methodology, Supervision, Project administration. JL: Writing &#x2013; review &amp; editing, Validation, Funding acquisition, Supervision, Resources, Project administration, Conceptualization. ZZ: Conceptualization, Validation, Writing &#x2013; review &amp; editing, Methodology, Funding acquisition, Resources, Data curation, Project administration.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec 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>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/560128">Zebo Jiang</ext-link>, Zhuhai Hospital of Integrated Traditional Chinese &amp; Western Medicine, China</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1649684">Sreeram Vallabhaneni</ext-link>, Harvard Medical School, United States</p></fn>
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