﻿<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">J Cancer Metastasis Treat.</journal-id>
      <journal-id journal-id-type="publisher-id">JCMT</journal-id>
      <journal-title-group>
        <journal-title>Journal of Cancer Metastasis and Treatment</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2454-2857</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/2394-4722.2026.21</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Smart nanomaterial-driven innovations in combined cancer immunotherapy</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Weiqi</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yan</surname>
            <given-names>Zijiao</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Yan</surname>
            <given-names>Ke</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lai</surname>
            <given-names>Yi</given-names>
          </name>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Xu</surname>
            <given-names>Wujun</given-names>
          </name>
          <xref ref-type="aff" rid="I4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Zhou</surname>
            <given-names>Mengjiao</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Yu</surname>
            <given-names>Haijun</given-names>
          </name>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I3">
            <sup>3</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
      </contrib-group>
      <aff id="I1">
        <sup>1</sup>School of Pharmacy, Nantong University, Nantong 226001, Jiangsu, China.</aff>
      <aff id="I2">
        <sup>2</sup>Center of Pharmaceutics, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.</aff>
      <aff id="I3">
        <sup>3</sup>University of Chinese Academy of Sciences, Beijing 100049, China.</aff>
      <aff id="I4">
        <sup>4</sup>Department of Technical Physics, University of Eastern Finland, Kuopio 70210, Finland.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Dr. Mengjiao Zhou, School of Pharmacy, Nantong University, Nantong 226001, Jiangsu, China. E-mail: <email>mjzhou0207@ntu.edu.cn</email>; Prof. Haijun Yu, Center of Pharmaceutics, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China. E-mail: <email>hjyu@simm.ac.cn</email>.</corresp>
        <fn fn-type="other">
          <p>
            <bold>Received:</bold> 20 Mar 2026 |  <bold>First Decision:</bold> 17 Apr 2026 |  <bold>Revised:</bold> 24 Apr 2026 |  <bold>Accepted:</bold> 30 Apr 2026 |  <bold>Published:</bold> 9 May 2026</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Academic Editor:</bold> Ciro Isidoro |  <bold>Copy Editor:</bold> Ping Zhang |  <bold>Production Editor:</bold> Ping Zhang</p>
        </fn>
      </author-notes>
	  <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>9</day>
        <month>5</month>
        <year>2026</year>
      </pub-date>
      <volume>12</volume>
      <elocation-id>7</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026. <bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Conventional cancer immunotherapy frequently encounters limitations such as suboptimal clinical responses, systemic adverse effects, and acquired immunologic tolerance. Rationally designed smart nanomaterials, engineered to recognize tumor-specific stimuli, target immune cells, and remodel the tumor microenvironment, offer significant potential in overcoming these formidable challenges in metastatic tumors. In this review, we summarize the latest advancements in efficacious therapeutic interventions for the purpose of improving pharmaceutical properties, remodeling tumor immune microenvironment, and achieving combined immunotherapy. Then, we provide a brief overview of the most recent combinational immunotherapy corresponding clinical management, highlighting the clinically validated combinations that elicit systemic antitumor immunity and long-term immunomodulatory memory. Furthermore, we outline key molecular mechanisms and signaling pathways for organ-specific metastasis, and discuss certain preclinical advancements in the realm of smart nanomaterials integrated with existing treatment modalities and immunomodulatory strategies. Additionally, the discussion includes present challenges and future opportunities in designing functional nanomaterials, emphasizing the critical factors related to material design, safety concerns, and regulatory mechanisms. Overall, this review synthesizes preclinical and clinical findings to demonstrate how smart nanomaterials can enhance the therapeutic index through multi-target immunomodulation, and it examines the major challenges and future possibilities of immunotherapy combinations.</p>
      </abstract>
      <kwd-group>
        <kwd>Smart nanomaterials</kwd>
        <kwd>tumor microenvironment</kwd>
        <kwd>combinational therapy</kwd>
        <kwd>immunomodulatory effects</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Metastasis is a crucial hallmark of malignancy, posing substantial challenges to effective clinical management<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>. Immunotherapy has demonstrated potential in treating certain metastatic tumors characterized by high mutational burden<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup>. Cancer immunotherapy, particularly immune checkpoint inhibitors, has been approved for clinical use for durable remissions in many metastatic tumors<sup>[<xref ref-type="bibr" rid="B3">3</xref>-<xref ref-type="bibr" rid="B5">5</xref>]</sup>. Distinct from conventional therapeutic modalities, its core advantage is activating the body’s intrinsic immune system for precise tumor elimination, with lower systemic toxicities, durable efficacy, and potential synergistic effects<sup>[<xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref>]</sup>. Despite notable advancements, cancer immunotherapy still confronts unresolved dilemmas, encompassing strategies to augment therapeutic effectiveness across various malignancies and patients, as well as methodologies to forecast patient responsiveness or resistance<sup>[<xref ref-type="bibr" rid="B8">8</xref>,<xref ref-type="bibr" rid="B9">9</xref>]</sup>. Therefore, elucidating the molecular mechanisms underlying clinical outcomes and therapeutic resistance is pivotal to broadening the scope of beneficial impacts derived from immunotherapeutic interventions<sup>[<xref ref-type="bibr" rid="B10">10</xref>-<xref ref-type="bibr" rid="B12">12</xref>]</sup>. Mechanistic insights from the cancer-immunity cycle underscore the potential to enhance immunotherapy efficacy while mitigating acquired immunological tolerance<sup>[<xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref>]</sup>. Effective therapeutic interventions should target resistance mechanisms in malignancies to boost long-term T cell responses and facilitate their iterative expansion<sup>[<xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B16">16</xref>]</sup>.</p>
      <p>The iterative nature of the antitumor immune response can partially be explained by the cancer-immunity cycle, originally conceptualized in 2013, which refers to a series of stepwise events driving T cell responses to kill tumors in a self-sustaining manner<sup>[<xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B18">18</xref>]</sup>. In brief, the process begins with the release of tumor-associated antigens from dying tumor cells, followed by the processing and presentation of these antigens by antigen-presenting cells, particularly dendritic cells (DCs)<sup>[<xref ref-type="bibr" rid="B19">19</xref>-<xref ref-type="bibr" rid="B21">21</xref>]</sup>. Therapeutic interventions have been employed to promote the release of tumor-associated antigens by inducing tumor death in an immunogenic pathway, involving current clinical scenarios such as chemotherapy<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>, radiotherapy (RT)<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>, and targeted therapy<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup>. In the subsequent steps, vaccines have been recognized as an effective modality to enhance the presentation of antigenic peptides. Meanwhile, blockade of the immune checkpoint cytotoxic Tlymphocyte-associated protein 4 (CTLA4) proves efficient in facilitating T cell priming and activation<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup>. Next, activated effector T cells traffic and infiltrate into tumors and stroma, interact with intratumoral immune cells, and maintain their effector function<sup>[<xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B27">27</xref>]</sup>. Targeting these steps, removal of pathophysiological barriers within the tumor microenvironment (TME) may enhance T cell infiltration, comprising dense extracellular matrix, abnormal angiogenesis, and metabolic derangements<sup>[<xref ref-type="bibr" rid="B28">28</xref>,<xref ref-type="bibr" rid="B29">29</xref>]</sup>. In addition, increasing chemokine levels or inhibiting transforming growth factor also contributes to T cells’ trafficking and infiltration<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>. Finally, intratumoral effector T cells potentially recognize and eliminate cancer cells, and release additional tumor-associated antigens to favor a self-sustained cycle<sup>[<xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B32">32</xref>]</sup>. Immunotherapeutic approaches such as chimeric antigen receptor T (CAR-T) cell therapy <sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup> and T-cell receptor-engineered T-cell (TCR-T) therapy<sup>[<xref ref-type="bibr" rid="B34">34</xref>]</sup> are able to yield T cell-mediated cytotoxic responses. Conceivably, programmed cell death ligand-1 (PD-L1) has an inhibitory function that primarily acts to modulate tumor killing<sup>[<xref ref-type="bibr" rid="B35">35</xref>,<xref ref-type="bibr" rid="B36">36</xref>]</sup>.</p>
      <p>Considering the intricate interplay of numerous factors within the TME, combination therapies are strategically positioned to synergistically complement and sustain the cancer-immunity cycle<sup>[<xref ref-type="bibr" rid="B37">37</xref>,<xref ref-type="bibr" rid="B38">38</xref>]</sup>. Rational integration of multiple treatment modalities, including chemotherapy, phototherapy, gene therapy, and immunotherapy, has been proposed to restore immunosurveillance and reinvigorate pre-existing antitumor immune responses<sup>[<xref ref-type="bibr" rid="B39">39</xref>-<xref ref-type="bibr" rid="B41">41</xref>]</sup>. Engineered nanoplatforms have been designed to act across multiple stages of the cancer-immunity cycle, capitalizing on the pharmaceutical advantages of targeting specificity and stimuli responsiveness<sup>[<xref ref-type="bibr" rid="B42">42</xref>-<xref ref-type="bibr" rid="B44">44</xref>]</sup>. The rapid advancement of nanomaterials offers unprecedented opportunities for precise immune modulation with tolerable immune-related adverse events<sup>[<xref ref-type="bibr" rid="B45">45</xref>,<xref ref-type="bibr" rid="B46">46</xref>]</sup>.</p>
      <p>To date, a variety of nanoplatforms have entered clinical trials, involving lipid nanoparticles (LNPs)<sup>[<xref ref-type="bibr" rid="B47">47</xref>,<xref ref-type="bibr" rid="B48">48</xref>]</sup>, polymeric nanoparticles<sup>[<xref ref-type="bibr" rid="B49">49</xref>]</sup>, inorganic nanomaterials<sup>[<xref ref-type="bibr" rid="B50">50</xref>]</sup>, and exosome-mimetic nanovesicles<sup>[<xref ref-type="bibr" rid="B51">51</xref>]</sup>. For example, LNPs, notable for their adjustable size, easy surface modification, and biocompatibility, have emerged as pivotal tools in facilitating the controlled release of immunostimulatory agents (BNT122, NCT03289963) and potent vaccination (mRNA-4157, NCT03897886)<sup>[<xref ref-type="bibr" rid="B52">52</xref>-<xref ref-type="bibr" rid="B54">54</xref>]</sup>. The polymeric nanoformulation of AZD4635 is currently undergoing Phase II trials (NCT04089553), demonstrating outstanding biosafety and precise drug release capabilities in cancer immunotherapy<sup>[<xref ref-type="bibr" rid="B55">55</xref>]</sup>. Research into metalloimmunotherapy involves inorganic nanomaterials such as MnO<sub>2</sub>, and gold nanoparticles have been approved for image-guided radioimmunotherapy<sup>[<xref ref-type="bibr" rid="B56">56</xref>,<xref ref-type="bibr" rid="B57">57</xref>]</sup>. Mesenchymal stromal cell-derived iExosomes (NCT03608631) or DC-derived exosome (NCT01159288) exhibit unique advantages in tumor targeting and immune modulation in clinical settings<sup>[<xref ref-type="bibr" rid="B58">58</xref>-<xref ref-type="bibr" rid="B60">60</xref>]</sup>. Although certain nanomedicines have gained approval for clinical trials, the issue of metastases caused by hematogenous dissemination of circulating tumor cells remains a tough clinical issue<sup>[<xref ref-type="bibr" rid="B61">61</xref>]</sup>. Smart nanomaterials possess natural immune-stimulating properties or incorporate immunomodulatory adjuvants, and have precipitated a transformative breakthrough in overcoming delivery barriers and optimizing therapeutic efficacy<sup>[<xref ref-type="bibr" rid="B62">62</xref>,<xref ref-type="bibr" rid="B63">63</xref>]</sup>.</p>
      <p>By integrating diverse therapeutic modalities, nanomaterials effectively address critical challenges in cancer immunotherapy, particularly in microenvironment remodeling, therapeutic optimization, and the suppression of tumor metastasis. This review elucidates the synergistic potential of nanomaterials in reinitiating the cancer-immunity cycle when combined with chemotherapy, RT, phototherapy, sonodynamic therapy, metabolic regulation, and neuro-immune interactions, with a specific focus on strategies to target and eliminate disseminated tumor cells at metastatic sites [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. Furthermore, the rational design of functionalized nanoplatforms, encompassing material selection, structural configuration, and the application of artificial intelligence (AI), is discussed in terms of overcoming physiological barriers, counteracting the immunosuppressive microenvironment, and preventing metastatic colonization. Current challenges and future opportunities in engineering nanomaterials to synergistically modulate the immunosuppressive microenvironment and restore antitumor immunity are also discussed. This review highlights nanomaterial-supported combined immunotherapy methods, offering crucial insights for optimizing treatment outcomes, inhibiting distant metastasis, and moving towards clinical translation.</p>
      <fig id="fig1" position="float" width="500">
        <label>Figure 1</label>
        <caption>
          <p>Schematic representation of smart nanomaterials-enabled multimodal combinatorial cancer immunotherapy. Multifunctional nanoplatforms integrating chemotherapy, radiotherapy, phototherapy, sonodynamic therapy, metabolic regulation, and immune regulation are designed with artificial intelligence (AI)-assisted optimization to synergistically activate systemic antitumor immunity, remodel the TME, target distant metastatic sites, and optimize therapeutic intervention. Drawn by Figdraw (ID: TRWRA36009). TME: Tumor microenvironment.</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jcmt6021.fig.1.jpg" />
      </fig>
    </sec>
    <sec id="sec2">
      <title>CLINICALLY VALIDATED COMBINATIONS IN CANCER IMMUNOTHERAPY</title>
      <p>Clinical evidence has shown the shortcomings of monotherapies in handling metastatic tumors, prompting the swift advancement of combined treatment approaches recently. Clinically validated combinations have demonstrated notable potential in different solid tumors, improving progression-free survival (PFS) and objective response rate (ORR) [<xref ref-type="table" rid="t1">Table 1</xref>]. Typically, combining immune checkpoint inhibitors with chemotherapy has become a standard of care for non-small cell lung cancer (NSCLC), triple-negative breast cancer (TNBC), and head and neck squamous cell carcinoma (HNSCC).</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <p>Most recent clinical trials of immunotherapy combinations</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Treatment</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Tumor type</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Outcomes</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Identifier</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Zolbetuximab + mFOLFOX6</td>
              <td>Metastatic gastric carcinoma</td>
              <td>PFS: 10.6 months</td>
              <td>NCT03504397<break />Phase III, 2023</td>
            </tr>
            <tr>
              <td>αPD-1 + capecitabine + cyclophosphamide + vinorelbine</td>
              <td>Metastatic HER2-negative breast cancer</td>
              <td>ORR: 18.5%;<break />PFS: 6.6 months;<break />OS: 42.6 months</td>
              <td>NCT04389073<break />Phase II, 2024</td>
            </tr>
            <tr>
              <td>αPD-1 + lenvatinib + TACE</td>
              <td>Unresectable HCC</td>
              <td>SLR: 59.2%;<break />ORR: 78.9%;<break />PFS: 20.03 months</td>
              <td>NCT04997850<break />Phase II, 2026</td>
            </tr>
            <tr>
              <td>αPD-L1 + SBRT</td>
              <td>Metastatic NSCLC</td>
              <td>PFS: 15.56 months;<break />OS: 40.5 months</td>
              <td>NCT02492568<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td>Sintilimab + lenvatinib + cryoablation</td>
              <td>Advanced/metastatic intrahepatic cholangiocarcinoma</td>
              <td>ORR: 75%;<break />PFS: 16.8 months;<break />OS: 25.4 months</td>
              <td>NCT05010668<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td>αPD-1 + dasatinib + quercetin</td>
              <td>HNSCC</td>
              <td>OS: up to 5 years</td>
              <td>NCT05724329<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td>Sintilimab + carboplatin + nab-paclitaxel</td>
              <td>Oral/oropharyngeal squamous cell carcinoma</td>
              <td>ORR: 64.6%;<break />OS: 24 months</td>
              <td>NCT04718415<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td>Pembrolizumab + axitinib + FMT</td>
              <td>Metastatic renal cell carcinoma</td>
              <td>ORR: 52%;<break />PFS: 24 months</td>
              <td>NCT04758507<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td rowspan="2">αPD-1 + FMT</td>
              <td>NSCLC</td>
              <td>ORR: 80%;</td>
              <td rowspan="2">NCT04951583<break />Phase II, 2025</td>
            </tr>
            <tr>
              <td>Melanoma</td>
              <td>ORR: 75%;</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>FMT: Fecal microbiota transplantation; ORR: objective response rate; OS: overall survival; PFS: progression-free survival; SBRT: stereotactic body radiation therapy; SLR: salvage liver resection; TACE: transarterial chemoembolization; NSCLC: non-small cell lung cancer; HCC: hepatocellular carcinoma; HNSCC: head and neck squamous cell carcinoma; HER2: human epidermal growth factor receptor-2.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>For patients with unresectable hepatocellular carcinoma (HCC), transarterial chemoembolization (TACE) appears to be superior first-line therapy, while the conversion rate from this locoregional therapy is only about 10%. Promising results from the complex triple combination of lenvatinib, TACE, and PD-1 inhibitors (LEN-TAP) regimen, have led to a higher rate of salvage liver resection (SLR) than TACE alone, at 59.2% compared to 18.3%<sup>[<xref ref-type="bibr" rid="B64">64</xref>]</sup>. In another phase II trial in metastatic breast cancer, combinational treatment of metronomic chemotherapy plus anti-PD-1 (αPD-1) significantly prolonged the patient’s PFS<sup>[<xref ref-type="bibr" rid="B65">65</xref>]</sup>. This regimen demonstrates favorable safety and systemic immune reprogramming in refractory malignancies, representing a promising option for patients with aggressive, typically immunologically cold breast cancer.</p>
      <p>Radio-immunotherapy has demonstrated its efficacy in patients with a low tumor mutation burden, and may expand the therapeutic window of checkpoint blockade for low response rates<sup>[<xref ref-type="bibr" rid="B66">66</xref>,<xref ref-type="bibr" rid="B67">67</xref>]</sup>. In cases of metastatic NSCLC, the combination of stereotactic body radiation therapy (SBRT) followed by pembrolizumab (NCT02492568) resulted in a longer PFS compared to SBRT alone (15.56 <italic>vs</italic>. 4.39 months)<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup>. This approach exhibits superior efficacy in immunologically cold tumors characterized by low tumor mutation burden, PD-L1 negativity, and Wnt mutations. In a landmark study, minimally invasive cryoablation may also affect host immune responses and sensitivity to therapeutic interventions<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>. When combined with checkpoint inhibitor sintilimab and lenvatinib, partial cryoablation in advanced or metastatic intrahepatic cholangiocarcinoma significantly increased the ORR<sup>[<xref ref-type="bibr" rid="B70">70</xref>]</sup>. However, it also faces several major limitations, including a small single-arm population, lack of independent central review, and unvalidated efficacy in patients with the combined treatment regimen of gemcitabine, cisplatin, and immune checkpoint inhibitors (GemCis-ICI) refractory disease.</p>
      <p>The gut microbiota is increasingly recognized as a pivotal factor in cancer pathogenesis and treatment response. Fecal microbiota transplantation (FMT) has emerged as a promising strategy to modulate the microbiome and reshape the immune landscape<sup>[<xref ref-type="bibr" rid="B71">71</xref>]</sup>. Results from the Phase 2 TACITO trial demonstrated that FMT combined with immune checkpoint inhibitors for the treatment of metastatic renal cell carcinoma was associated with a significant increase in PFS (24.0 months <italic>vs</italic>. 9.0 months) and ORR (52% <italic>vs</italic>. 32%) compared with patients receiving placebo therapy<sup>[<xref ref-type="bibr" rid="B72">72</xref>]</sup>. Additionally, microbiome profiling confirmed the engraftment of donor strains, along with increased α-diversity and more pronounced shifts in microbiome composition of β-diversity relative to baseline in the FMT-treated group. This combination therapy offers durable clinical benefits and effective microbiome reprogramming via successful donor engraftment, yet is constrained by small sample size, insufficient baseline balance, reliance on a single donor, and challenges in stable stool supply.</p>
      <p>Given the elevated expression of mesothelin, nanobody-functionalized CAR-T cells targeting mesothelin and equipped with αPD-1 nanobodies (referred to as NAC-T) have been strategically constructed<sup>[<xref ref-type="bibr" rid="B73">73</xref>]</sup>. Recently, a first-in-human clinical trial was performed in 11 patients with refractory malignant mesothelioma who had failed standard therapies. The NAC-T treatment demonstrated favorable safety, with an overall response rate of 63.6%, and the disease control rate reached 100%. The median PFS was 5.0 months, and the median overall survival was prolonged to 25.6 months. These clinical results underscore the promising translational potential of combinational nanobody-mediated immune checkpoint inhibition with CAR-T therapy.</p>
      <p>Despite advances in clinical management, effectively inhibiting distant tumor metastasis remains one of the most formidable challenges in contemporary oncology<sup>[<xref ref-type="bibr" rid="B74">74</xref>,<xref ref-type="bibr" rid="B75">75</xref>]</sup>. The primary obstacles for combinatorial antimetastatic regimens are major off-target effects<sup>[<xref ref-type="bibr" rid="B76">76</xref>]</sup>. Non-specific biodistribution and off-target drug release may initiate excessive inflammation and lead to immune-related adverse events<sup>[<xref ref-type="bibr" rid="B77">77</xref>]</sup>. By using specific ligands for surface modification, engineered nanoparticulate formulations actively target metastatic tumors, leading to increased accumulation at the tumor site and reduced unintended exposure to healthy tissues<sup>[<xref ref-type="bibr" rid="B78">78</xref>]</sup>. Nanocarriers that respond to the TME allow for controlled drug release triggered by pathological characteristics, thereby minimizing early leakage and off-target effects<sup>[<xref ref-type="bibr" rid="B79">79</xref>,<xref ref-type="bibr" rid="B80">80</xref>]</sup>. Emerging nanomaterials for cargo delivery have demonstrated compelling potential in improving therapeutic selectivity and reducing immune-related adverse events<sup>[<xref ref-type="bibr" rid="B81">81</xref>,<xref ref-type="bibr" rid="B82">82</xref>]</sup>.</p>
    </sec>
    <sec id="sec3">
      <title>PRECLINICAL PROGRESS OF NANOMATERIAL-ENABLED COMBINATIONAL IMMUNOTHERAPY</title>
      <p>The metastatic process typically encompasses several stages, beginning with the intravasation of primary tumor cells into the vasculature, followed by hematogenous dissemination, extravasation into distant organ sites, and culminating in the colonization and proliferation of secondary lesions [<xref ref-type="fig" rid="fig2">Figure 2</xref>]. Malignant progression often results in the development of secondary lesions in distant organs such as the lungs, liver, bones, and brain, significantly compromising patient outcomes and diminishing long-term survival.</p>
      <fig id="fig2" position="float" width="400">
        <label>Figure 2</label>
        <caption>
          <p>Schematic illustration of the metastatic cascade and nanomaterial-driven combinatorial immunotherapeutic strategies targeting organ-specific metastasis. This diagram depicts the multistep metastatic process including intravasation, dissemination, extravasation, and colonization at distant organs (lung, liver, bone, brain). Smart nanomaterials interrupt the metastatic cascade by remodeling the immunosuppressive TME, inhibiting ECM remodeling and CAF activity, blocking key oncogenic signaling pathways, and suppressing the formation of metastatic niches. Meanwhile, nanoplatforms trigger ICD, promote CTL infiltration, reduce Treg abundance, and reactivate systemic antitumor immune responses to inhibit tumor invasion and distant metastasis. CAF: Cancer-associated fibroblast; CTL: cytotoxic T-lymphocyte; ECM: extracellular matrix; ICD: immunogenic cell death; MMP: matrix metalloproteinase; MUC1: Mucin-1; OPG: osteoprotegerin; PTHrP: parathyroid hormone related protein; RANKL: receptor activator of nuclear factor-κB ligand; S1PR3: sphingosine-1-phosphate receptor 3; STC1: stanniocalcin 1; STING: stimulator of interferon gene; Treg: T regulatory cell; VEGF: vascular endothelial growth factor; TME: tumor microenvironment; ROS: reactive oxygen species; AI: artificial intelligence; STAT3: signal transducer and activator of transcription 3; CSF-1: colony-stimulating factor 1; NF-κB: nuclear factor kappa B; CCL5/7: chemokine ligand 5/7; VCAM1: vascular cell adhesion molecule-1; VLA-4: very late appearing antigen-4; SPARC: secreted protein acidic and rich in cysteine; CXCL8/12: C-X-C motif chemokine ligand 8/12; TGF-β: transforming growth factor beta; GDF15: growth differentiation factor 15; CCL2: chemokine ligand 2; PANKL: primary adrenal NK/T cell lymphoma; CXCR4: Chemokine receptor 4; IL-1β: interleukin-1 beta; IL-6: interleukin-6; TNF-α: tumor necrosis factor-α; GSH: glutathione. Drawn by Figdraw (ID: UPRTY104f0).</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jcmt6021.fig.2.jpg" />
      </fig>
      <sec id="sec3-1">
        <title>Nanomaterials synergizing with immunogenic cell death induction</title>
        <p>Nanoplatform-mediated therapeutic interventions, including reactive oxygen species (ROS) generation, DNA damage induction, and mild photothermal stimulation, effectively trigger immunogenic cell death (ICD), accompanied by the release of tumor-associated antigens and damage-associated molecular patterns<sup>[<xref ref-type="bibr" rid="B83">83</xref>,<xref ref-type="bibr" rid="B84">84</xref>]</sup>. Targeting activation of the STING (stimulator of interferon gene) pathway has shown efficacy in amplifying ICD and RT sensitization. In this regard, He <italic>et al.</italic> constructed a metformin-based multifunctional nanocomplex to promote cytosolic DNA accumulation for maximizing radio-immunotherapy<sup>[<xref ref-type="bibr" rid="B85">85</xref>]</sup>. In this nanocomplex, metformin modification not only significantly enhances the transfection efficiency of siTREX1 but also exhibits pharmacological inhibition of DNA repair by targeting the DNA homologous recombination repair protein recombinase. Attributed to the obvious ICD effect, the CS-MET/siTREX1 nanocomplex achieved 99.1% primary tumor growth inhibition and 88.2% distant metastasis suppression under 20 Gy irradiation. Moreover, siTREX1 contributes to the cytosolic DNA accumulation, leading to a nearly 2.7-fold increase in cytosolic DNA levels in comparison to those without gene silencing. According to western blotting assays, the expression of TREX1 and RAD51 was downregulated, while the DNA breakage biomarker and STING-related proteins were dramatically upregulated when cells were treated with the nanocomplex and irradiation.</p>
        <p>Mild-temperature photothermal therapy, generally 42-45 °C , has shown significant advantages in initiating biological effects, such as loosening the extracellular matrix, enhancing blood perfusion, and stimulating <italic>in situ</italic> vaccination<sup>[<xref ref-type="bibr" rid="B86">86</xref>]</sup>. However, this mild hyperthermia is not enough for localized tumor ablation because of the self-defense mechanisms derived from heat shock response or autophagy<sup>[<xref ref-type="bibr" rid="B87">87</xref>]</sup>. In this regard, engineered photothermal-targeting chimeras (PTTACs) were proposed to achieve tumor-specific degradation of PD-L1 and bromodomain-containing protein 4 (BRD4)<sup>[<xref ref-type="bibr" rid="B88">88</xref>]</sup>. To achieve spatiotemporally confined degradation of the protein of interest, PTTACs were loaded into micellar nanoparticles responsive to extracellular acidity and intracellular acidity, respectively. Moreover, PTTACs exhibit high photothermal conversion efficiency and protein binding affinity, and self-assemble into lamellar nanosheets with improved photothermal conversion and selective protein binding. Exposure to an 808 nm laser led the PTTAC nanoplatform to reduce PD-L1<sup>+</sup> tumor cells by 3.5-fold. As a result, this combined strategy significantly suppressed tumor growth and metastasis by degrading PD-L1/BRD4, inducing robust ICD effects, and eliciting potent antitumor immunity as well.</p>
      </sec>
      <sec id="sec3-2">
        <title>Nanomaterials synergizing with TME remodeling</title>
        <p>Through reversal of metabolic disorders, normalization of the extracellular matrix, and disruption of neuro-immune inhibitory signals, rationally designed nanomaterials are capable of reestablishing and sustaining anti-tumor immunity<sup>[<xref ref-type="bibr" rid="B89">89</xref>,<xref ref-type="bibr" rid="B90">90</xref>]</sup>. Abnormal metabolism in tumor cells supports their proliferation, enables them to adapt to stresses, and helps them evade immune surveillance<sup>[<xref ref-type="bibr" rid="B91">91</xref>]</sup>. Interfering with these metabolic processes, specifically aerobic glycolysis, which increases energy supply and lactate accumulation, is beneficial for reversing immune suppression<sup>[<xref ref-type="bibr" rid="B92">92</xref>]</sup>. To counteract these metabolic abnormalities, a programmed nanosystem is designed to rectify the glucose uptake and aerobic glycolysis<sup>[<xref ref-type="bibr" rid="B93">93</xref>]</sup>. T-AsiG-CPL disassembles to release the nuclear factor κB (NF-κB) inhibitor, decreasing extracellular matrix deposition and facilitating deep penetration of CD71 aptamer-linked glucose transporter 1 small interfering RNA (AsiG) in response to tumor acidity. Mechanistically, this silences glucose transporter 1, suppressing glycolysis and mitochondrial respiration by 78.19% and 88.60%, respectively. Moreover, T-AsiG-CPL treatment resulted in a 79.13% reduction in tumor weight and an 82.79% decrease in tumor volume, and completely eradicated metastasis foci in the mesentery, liver, and lung. The advantage in preventing metastasis stems from normalized stromal homeostasis and interrupted metabolic crosstalk, thereby restraining the invasive and disseminating potential of tumor cells.</p>
        <p>Excessive activation of the sympathetic nervous system is responsible for T cell exhaustion, and this mechanistic insight into neuro-immune interactions offers opportunities for therapeutic intervention<sup>[<xref ref-type="bibr" rid="B94">94</xref>,<xref ref-type="bibr" rid="B95">95</xref>]</sup>. Recently, a ROS-responsive liposomal nanoplatform (LipoNCs@pGSDMB) was developed for bone metastasis treatment through neuroimmune modulation<sup>[<xref ref-type="bibr" rid="B96">96</xref>]</sup>. The formed liposome co-delivers a polymeric STING agonist and gasdermin B plasmid, which is selectively activated in metastatic bone niches to block neurosignaling via the voltage-gated calcium channel. The LipoNCs@pGSDMB nanoplatform elevated the proportion of mature DCs in draining lymph nodes to 41.3%, nearly doubled CD8<sup>+</sup> cytotoxic T cell infiltration, and reduced T regulatory cells by ~72%. In a murine model of 4T1 breast cancer bone metastasis, LipoNCs@pGSDMB treatment achieved 94% tumor suppression and complete neuropathic pain relief through the synergy of immunomodulation and neuroregulation.</p>
      </sec>
      <sec id="sec3-3">
        <title>Nanomaterials synergizing with checkpoint blockage</title>
        <p>Combining nanomaterials for immunomodulator delivery with immune checkpoint blockade can synergistically improve treatment effectiveness<sup>[<xref ref-type="bibr" rid="B97">97</xref>-<xref ref-type="bibr" rid="B99">99</xref>]</sup>. Assisted by ultrasound (US)-induced oxidative forces, a polypeptide-based sono-adjuvant library with customizable properties was developed for targeted delivery to lymph nodes<sup>[<xref ref-type="bibr" rid="B100">100</xref>]</sup>. The sono-adjuvant-based vaccine with US stimulation (SONV+US) markedly prolonged the median survival, and frequencies of matured DCs and CD8<sup>+</sup> T cells were much higher than those of conventional adjuvant-based vaccines. When combined with αPD-L1, neoantigen-based sonosensitive vaccine (Ne-SONV) boosted IFN-γ<sup>+</sup>CD8<sup>+</sup> and TNF-α<sup>+</sup>CD8<sup>+</sup> T cell populations by 5.8- and 4.0-fold relative to the admixture of neoantigen peptide with CpG adjuvant. This sono-adjuvant platform achieved 100% survival in orthotopic HCC models, exhibiting great potential for personalized cancer vaccination.</p>
        <p>In clinical settings, chemotherapy remains a mainstream approach in the management of malignant tumors. Recently, the in-depth integration of nanotechnology and AI has emerged as a core driving force that accelerates the development of integrated and personalized therapeutic strategies for oral cancer<sup>[<xref ref-type="bibr" rid="B101">101</xref>]</sup>. By using machine learning, a clinically approved alkylating agent at a tolerable dose was employed to promote tumor-derived double-stranded DNA production, intratumoral accumulation, and optimize its availability<sup>[<xref ref-type="bibr" rid="B102">102</xref>]</sup>. The AI-assisted immune nanoenhancer platform, utilizing low-dose alkylating agents, achieved 97.64% tumor growth inhibition and 89.66% reduction in pulmonary metastases. This STING activation mechanism markedly increased the proportions of splenic effector memory T cells and central memory T cells to 17.20% and 39.16%, respectively. For AI-assisted nanomedicine design, this work establishes a versatile paradigm by employing machine learning algorithms to predict chemotherapeutic encapsulation and suitable dosage for advanced immunotherapy.</p>
      </sec>
      <sec id="sec3-4">
        <title>Nanomaterials synergizing with CAR-T</title>
        <p>Emerging nanomaterial-assisted immunomodulation and therapeutic optimization have been ingeniously integrated with engineered cellular therapies to enhance antitumor effectiveness and translational potential<sup>[<xref ref-type="bibr" rid="B103">103</xref>]</sup>. The effectiveness of CAR-T in hematologic malignancy is impressive, yet the application in solid tumors is severely constrained<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>. For glioblastoma treatment, tumor-responsive cellular formulations were prepared by conjugating pexidartinib-containing liposomes (PLX-Lip) to the engineered CAR-T cells<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup>. The formed hypoxia-responsive moiety azobenzene (AZO) modified PLX-Lip/AZO-T cells could actively transmigrate across the blood-brain barrier, which was 5.8-fold higher than that of non-integrated PLX-Lip/T cells. In the hypoxic microenvironment, over 70% of PLX-Lip were detached from CAR-T cells at 12 h post-infiltration, and the uptake of PLX-Lip by tumor-associated macrophages (TAMs) and microglia was 4.7-fold higher than the control group. In orthotopic mouse models, PLX-Lip/AZO-T cell treatment achieved complete tumor eradication in 60% of mice, with 80% of treated mice surviving over 50 days. Importantly, this combined therapy demonstrated good safety profiles without significant organ toxicity or cytokine release syndrome, underscoring its strong potential for clinical application.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>CONCLUSION</title>
      <p>Nanomaterial-enabled combinational immunotherapies can effectively enhance the delivery of immunomodulatory agents, target immune cells, modulate the TME, and overcome tumor immune evasion. Specifically, nanoplatforms have shown remarkable efficacy in amplifying DNA damage, inducing ICD, activating the STING pathway, and synergizing with various immunotherapeutic modalities to suppress tumor growth and metastasis. Additionally, the integration of nanotechnology with AI has provided a novel paradigm for personalized therapeutic design, optimizing drug delivery and dosage to further improve treatment outcomes. However, current challenges still hinder the practical translation of these nanomaterial-driven immunotherapies into clinical applications.</p>
      <p>Despite significant advancements in the field of smart nanomaterial-driven combinatorial immunotherapy, several critical challenges continue to impede its clinical translation. Firstly, the scalable synthesis of these materials with consistent batch-to-batch reproducibility remains a significant bottleneck, as standardized manufacturing protocols and quality control systems for combinatorial regimens are still underdeveloped. Moreover, the heterogeneous nature of the TME results in variable therapeutic responses, with inadequate tumor selectivity leading to off-target effects. Issues such as nonspecific accumulation of nanocarriers in healthy tissues, uncontrolled co-release of therapeutic payloads, and aberrant immune activation collectively undermine the safety and efficacy of treatments. Besides, therapeutic resistance induced by the TME and the complex interplay between distinct immunotherapeutic modalities present additional obstacles to achieving effective treatment outcomes. Furthermore, the complexities of combination therapies, such as optimizing the ratio of nanomaterials to immunomodulatory agents, coordinating the timing of different therapeutic modalities, and addressing potential drug-drug interactions, add layers of difficulty to clinical implementation. Absence of unified regulatory standards and clinical evaluation protocols specifically designed for nanomaterial-based combined immunotherapies further delays their clinical approval and commercialization. A comprehensive understanding of metastatic biology, key signaling pathways, and emerging therapeutic strategies is thus critical to improving the diagnosis and treatment of metastatic malignancies.</p>
      <p>Future directions should focus on addressing these existing challenges to bridge the gap between laboratory successes and clinical applications. Refining nanoplatform engineering with AI will be crucial for improving targeting precision, minimizing adverse effects, and optimizing therapeutic efficacy, as AI-driven design can predict nanomaterial behavior and tailor formulations to individual patients. Establishing standardized manufacturing protocols and quality control systems to ensure reproducibility of combined immunotherapies is necessary to optimize scalable synthesis and ensure consistency. Conducting large-scale animal studies is essential to establish the long-term safety and efficacy of nanomaterial-enabled immunotherapies, strengthening interdisciplinary collaboration between nanotechnology and immunology to optimize synergistic interactions, thereby advancing the clinical translation of combinatorial immunotherapies and improving patient outcomes.</p>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Authors’ contributions</title>
        <p>Conceptualization and writing: Wang W</p>
        <p>Figure preparation: Yan Z</p>
        <p>Data collection: Yan K</p>
        <p>Coordination and revision: Lai Y</p>
        <p>Proofreading and supervision: Xu W</p>
        <p>Coordination, revision and editing: Zhou M</p>
        <p>Conceptualization, revision, supervision, and funding acquisition: Yu H</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>During the preparation of this manuscript, the AI tool Home for researchers (released 2026-03-29) was used solely for language editing. The tool did not influence the study design, data collection, analysis, interpretation, or the scientific content of the work. All authors take full responsibility for the accuracy, integrity, and final content of the manuscript.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This work was supported by the National Natural Science Foundation of China (U22A20328 to Yu H); Science and Technology Commission of Shanghai Municipality (23ZR1475000 and 20430711800 to Yu H.).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>Wang W, Lai Y, Xu W and Yu H are the Guest Editors of the Special Issue “Smart Nanomaterials for Cancer Immunotherapy” of <italic>Journal of Cancer Metastasis and Treatment</italic>. Yu H is an Associate Editor of <italic>Journal of Cancer Metastasis and Treatment</italic>. They were not involved in any steps of the editorial process, notably including reviewers’ selection, manuscript handling, or decision-making. The other authors declared that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication.</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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