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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>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1783276</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Advancing immunotherapy via multiple immune cells co-engagement</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Li</surname><given-names>Han</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Zhang</surname><given-names>Yuxuan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wei</surname><given-names>Qiuyang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Qimeng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Lin</surname><given-names>Feng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname><given-names>Peng R.</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="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Peking-Tsinghua Center for Life Sciences, Peking University</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Peking University</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Feng Lin, <email xlink:href="mailto:linfeng2016@pku.edu.cn">linfeng2016@pku.edu.cn</email>; Peng R. Chen, <email xlink:href="mailto:pengchen@pku.edu.cn">pengchen@pku.edu.cn</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>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="2026-02-27">
<day>27</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>1783276</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Zhang, Wei, Sun, Lin and Chen.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Zhang, Wei, Sun, Lin and Chen</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Immunotherapy has demonstrated remarkable clinical success in a wide range of malignancies, owing to its high specificity and durable therapeutic effects. However, its efficacy is constrained by multiple factors arising from the complex and heterogeneous tumor microenvironment (TME). Strategies capable of simultaneously and synergistically engaging multiple immune cells in TME represents a promising yet challenging frontier. Here we begin with a brief overview of current immune cell engagers harnessing the single immune cell types, such as T, NK cells and other immune cells. We then focus on the next generation of multiple immune cell-type co-engagement immunotherapies, discussing their targets, mechanisms, and therapeutic design. This review outlines both opportunities and hurdles of the multiple immune cell co-engagers, paving the way for more effective antitumor modalities.</p>
</abstract>
<kwd-group>
<kwd>antitumor immunotherapy</kwd>
<kwd>immune cell engager</kwd>
<kwd>multiple immune cell co-engagement</kwd>
<kwd>multispecific antibody</kwd>
<kwd>tumor-immune microenvironment</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Ministry of Science and Technology of the People's Republic of China</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100002855</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">2025YFA0922702, 2023YFA1506503, 2023YFA1506501</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>National Natural Science Foundation of China</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100001809</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp2">22577002, 21432002, 21521993</award-id>
</award-group>
<award-group id="gs3">
<funding-source id="sp3">
<institution-wrap>
<institution>Beijing Nova Program</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100005090</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp3">20250484861</award-id>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. We acknowledge the funding support from the Ministry of Science and Technology (2023YFA1506503, 2025YFA0922702), the National Natural Science Foundation of China (22577002, 22588302, 22137001), the Beijing Nova Program (20250484861), the Science Foundation of Peking University Cancer Hospital (JC202603), the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China (JYB2025XDXM501), and the New Cornerstone Investigator Program (P.R.C.).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="101"/>
<page-count count="16"/>
<word-count count="8771"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>T Cell Biology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The advent of immunotherapy represents one of the most significant milestones in the history of cancer medicine (<xref ref-type="bibr" rid="B1">1</xref>). Early interventions focused on single immune checkpoints (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>) or mono-lineage immune activation (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), while the efficacy of these treatments is frequently compromised by a multitude of factors, most notably those stemming from the intricate and often immunosuppressive nature of the TME (<xref ref-type="bibr" rid="B6">6</xref>). These barriers render traditional immunotherapy insufficient for a vast majority of patients with solid tumors.</p>
<p>To overcome these hurdles, the field is shifting toward a more holistic strategy that enables the simultaneous and synergistic targeting of multiple immune cell types. A potent antitumor response is not the result of a single cell type acting in isolation, but rather a coordinated &#x201c;immune symphony&#x201d; (<xref ref-type="bibr" rid="B7">7</xref>). For instance, optimal CD8<sup>+</sup> T cell effector function and response to PD-1 blockade are critically dependent on the crosstalk between T and dendritic cells (DCs) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), specific niches of myeloid antigen-presenting cells (APCs) (<xref ref-type="bibr" rid="B10">10</xref>) as well as costimulatory signals from inflammatory monocytes (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>), CD4<sup>+</sup> T follicular helper (T<sub>FH</sub>) cells and B cells (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, therapies that bridge innate and adaptive immunity, orchestrating interactions between T cells, natural killer (NK) cells, and myeloid subsets, hold great promise of converting immunosuppressive microenvironments into inflamed and tumoricidal niches.</p>
<p>Central to this paradigm shift is the concept of multiple immune cell co-engagers. These are defined as multispecific therapeutics that are engineered to simultaneously harness, both physically and functionally, two or more distinct immune cell populations for synergistic tumor eradication, a process that strictly depends on concurrent spatiotemporal engagement rather than on sequential recruitment or indirect cascades. This developments in molecular engineering has birthed a new class of multispecific agents capable of inducing artificial &#x201c;synapses&#x201d; between lymphocytes (e.g., T/NK cells) (<xref ref-type="bibr" rid="B14">14</xref>) and myeloid cells (e.g., DCs) (<xref ref-type="bibr" rid="B15">15</xref>). In this review, we briefly recapitulate the landscape of traditional single immune cell engagers, with a primary focus on the emerging paradigm of multiple immune cell co-engagers. We examine strategies for the co-engagement of both lymphoid and myeloid lineages, delineating their technological platforms, mechanistic underpinnings, and prospective applications in clinical antitumor immunotherapy.</p>
<p>To ensure a comprehensive and rigorous analysis of this rapidly evolving field, literature was identified through systematic searches of PubMed, Web of Science, and ClinicalTrials.gov, covering publications up to January 2026. The search strategy utilized key terms including &#x201c;T cell engagers&#x201d;, &#x201c;NK cell engagers&#x201d;, &#x201c;detrintic-T cell engagers&#x201d;, &#x201c;NK-T cell engagers&#x201d;, &#x201c;bispecific antibody&#x201d; and &#x201c;multispecific antibody&#x201d;. We prioritized English-language, peer-reviewed articles that elucidate mechanistic novelty or demonstrate significant therapeutic efficacy. In synthesizing the evidence, we adopted a hierarchical approach: for single immune cell engagers, priority was given to clinical trial outcomes and regulatory approvals to assess real-world efficacy and safety. Conversely, for emerging strategies multiple immune cell co-engagers, where clinical data are nascent, we relied on high-quality preclinical studies (including <italic>in vivo</italic> solid tumor models) to highlight architectural innovations and mechanistic potential.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Nowadays: single immune cell-type engagers</title>
<p>The development of immune cell engagers targeting single lineages represents a transformative epoch in clinical oncology, offering potent alternatives to conventional modalities by mechanically redirecting cytotoxic effector cells against malignancies (<xref ref-type="bibr" rid="B16">16</xref>). Pioneered by the clinical validation of bispecific T cell engagers, these therapeutics have demonstrated remarkable efficacy, particularly in hematological cancers, by bypassing the major histocompatibility complex (MHC) restrictions to establish synthetic immunological synapses. This section delineates the evolutionary trajectory of these single immune cell-type engagers, then systematically reviews their structural engineering, activation mechanisms, and the iterative refinements designed to surmount current barriers.</p>
<sec id="s2_1">
<label>2.1</label>
<title>The landscape of T cell engagers: from canonical BiTEs to precision-engineered immunotherapeutics</title>
<p>As a cornerstone of modern cancer immunotherapy, T cell engagers (TCEs) have fundamentally reshaped the therapeutic landscape by bypassing the MHC restrictions of natural T cell receptors (TCRs) and redirecting cytotoxic T lymphocytes (CTLs) to eradicate tumor cells. The clinical validation of TCEs was established by the approval of blinatumomab, a first-in-class Bispecific T cell Engager (BiTE) targeting CD19 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>) (<xref ref-type="bibr" rid="B17">17</xref>). This format typically links two single-chain variable fragments (scFv), one binding a tumor-associated antigen (TAA) and the other binding CD3&#x3f5; on the T cell. While highly effective in hematological malignancies, the application of classical BiTEs in solid tumors has been hindered by antigenic scarcity, toxicity profiles and T cell anergy. The developmental trajectory of these bispecific molecules has evolved from simple surface-targeting constructs to sophisticated, precision-activated mechanisms designed to overcome the limitations of solid TME. Representative T cell engagers currently approved and in clinical trials are shown in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The landscape of T cell engagers. <bold>(A)</bold> Blinatumomab, the first FDA-approved Bispecific T-cell Engager (BiTE), which targets CD19 on B cells and CD3 on T cells. <bold>(B)</bold> T cell engagers targeting peptide-MHC (pMHC) on tumor cells via TCR mimic antibody (TCRm), enabling the recognition of intracellular antigens. <bold>(C)</bold> Immune-mobilizing monoclonal T cell receptor against cancers (ImmTACs). These constructs employ an engineered, high-affinity soluble TCR to recognize pMHC on tumor cells, linked to an anti-CD3 scFv to trigger T cell-mediated effector functions. <bold>(D)</bold> Precision-activated T cell engagers (probodies). These molecules feature masking peptides tethered via protease-cleavable linkers inhibiting antigen binding in peripheral tissues while selectively restoring therapeutic activities upon cleavage by proteases overexpressed in the TME. <bold>(E)</bold> Trispecific engagers designed for co-stimulation. By simultaneously targeting a tumor antigen, CD3, and a co-stimulatory receptor (e.g., CD28), these constructs provide essential &#x201c;Signal 2&#x201d; to prevent T cell anergy. <bold>(F)</bold> Dual-targeting T cell engagers. These molecules bind two distinct epitopes or antigens on the tumor cell surface to increase binding avidity and specificity.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g001.tif">
<alt-text content-type="machine-generated">Scientific illustration showing six types of engineered molecules mediating T cell and tumor cell interactions. Panels A&#x2013;C show bispecific designs targeting CD3 on T cells and CD19 (A) or pMHC (B, C) on tumor cells. Panel D presents a modular bispecific with protease-cleavable linkers. Panels E and F depict trispecific molecules engaging CD3, TAA, and optionally CD28 for enhanced T cell activation against tumor-associated antigens.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>T cell engagers currently approved and in clinical trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Molecule name</th>
<th valign="middle" align="center">Mechanism</th>
<th valign="middle" align="center">T cell arm</th>
<th valign="middle" align="center">Tumor antigen</th>
<th valign="middle" align="center">Clinical stage</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Blinatumomab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD19</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Mosunetuzumab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD20</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Odronextamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD20</td>
<td valign="middle" align="center">Approved (only by EMA)</td>
</tr>
<tr>
<td valign="middle" align="center">Epcoritamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD20</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Teclistamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">BCMA</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Elranatamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">BCMA</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Linvoseltamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">BCMA</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Talquetamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">GPRC5D</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">Tarlatamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">DLL3</td>
<td valign="middle" align="center">Approved (only by FDA)</td>
</tr>
<tr>
<td valign="middle" align="center">AZD0486</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD19</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">Cevostamab</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">FcRH5</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">M701</td>
<td valign="middle" align="center">Classic BiTE</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">EpCAM</td>
<td valign="middle" align="center">Phase III</td>
</tr>
<tr>
<td valign="middle" align="center">IMA401</td>
<td valign="middle" align="center">Targeting pMHC</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">MAGEA4/A8</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">IMA402</td>
<td valign="middle" align="center">Targeting pMHC</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">PRAME</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">IMC-F106C</td>
<td valign="middle" align="center">Targeting pMHC</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">PRAME</td>
<td valign="middle" align="center">Phase III</td>
</tr>
<tr>
<td valign="middle" align="center">Flotetuzumab</td>
<td valign="middle" align="center">Reduced affinity of T cell arm</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD123</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">MGD024</td>
<td valign="middle" align="center">Reduced affinity of T cell arm</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD123</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">STA551</td>
<td valign="middle" align="center">Reduced affinity of T cell arm</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD137</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">JANX007</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">PSMA</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">VIR-5500</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">PSMA</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">VIR-5818</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">HER2</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">JANX008</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">VIR-5525</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">BA3182</td>
<td valign="middle" align="center">Probody</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">EpCAM</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">Glofitamab</td>
<td valign="middle" align="center">Two tumor cell arms</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">2*CD20</td>
<td valign="middle" align="center">Approved</td>
</tr>
<tr>
<td valign="middle" align="center">ABBV-383</td>
<td valign="middle" align="center">Two tumor cell arms</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">2*BCMA</td>
<td valign="middle" align="center">Phase III</td>
</tr>
<tr>
<td valign="middle" align="center">Xaluritamig</td>
<td valign="middle" align="center">Two tumor cell arms</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">2*STEAP</td>
<td valign="middle" align="center">Phase III</td>
</tr>
<tr>
<td valign="middle" align="center">ISB 2001</td>
<td valign="middle" align="center">Two tumor cell arms</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">CD38, BCMA</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">JNJ-79635322</td>
<td valign="middle" align="center">Two tumor cell arms</td>
<td valign="middle" align="center">CD3</td>
<td valign="middle" align="center">BCMA, GPRC5D</td>
<td valign="middle" align="center">Phase III</td>
</tr>
<tr>
<td valign="middle" align="center">PRS-343</td>
<td valign="middle" align="center">Alternative T cell arm</td>
<td valign="middle" align="center">CD137</td>
<td valign="middle" align="center">HER2</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">RO7122290</td>
<td valign="middle" align="center">Alternative T cell arm</td>
<td valign="middle" align="center">CD137</td>
<td valign="middle" align="center">CD19</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">RO7227166</td>
<td valign="middle" align="center">Alternative T cell arm</td>
<td valign="middle" align="center">CD137</td>
<td valign="middle" align="center">CD19</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">CB307</td>
<td valign="middle" align="center">Alternative T cell arm</td>
<td valign="middle" align="center">CD137</td>
<td valign="middle" align="center">PSMA</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">SAR442257</td>
<td valign="middle" align="center">Two T cell arms</td>
<td valign="middle" align="center">CD3, CD28</td>
<td valign="middle" align="center">CD38</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">PIT565</td>
<td valign="middle" align="center">Two T cell arms</td>
<td valign="middle" align="center">CD2, CD3</td>
<td valign="middle" align="center">CD19</td>
<td valign="middle" align="center">Phase I</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Unless otherwise specified, &#x201c;approved&#x201d; means approved by EMA and FDA.</p></fn>
<fn>
<p>*Clinical stage is summarized up to January 2026.</p></fn>
<fn>
<p>*BiTE, bispecific T cell engager; CD3, cluster of differentiation 3; CD19, cluster of differentiation 19; CD20, cluster of differentiation 20; BCMA, B cell maturation antigen; GPRC5D, G protein-coupled receptor class C group 5 member D; EpCAM, epithelial cell adhesion molecule; DLL3, Delta-like ligand 3; FcRH5, Fc receptor like 5; BICR5, Baculoviral inhibitor of apoptosis repeat containing 5; MAGEA4/A8, melanoma-associated antigen A4/A8; PRAME, preferentially expressed antigen melanoma; CD123, cluster of differentiation 123; HER2, human epidermal growth factor receptor 2; PSMA, prostate-specific membrane antigen; CD137, cluster of differentiation 137; EGFR, epithelial growth factor receptor; STEAP, six-transmembrane epithelial antigen of prostate; CD28, cluster of differentiation 28; CD2, cluster of differentiation 2; CD38, cluster of differentiation 38.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Expanding the target space: targeting peptide-MHC complexes engagers</title>
<p>Most surface antigens (e.g., HER2, EGFR) are shared with healthy tissues, leading to dose-limiting &#x201c;on-target, off-tumor&#x201d; toxicities (<xref ref-type="bibr" rid="B18">18</xref>). Furthermore, the vast majority of oncogenic drivers (e.g., p53, RAS) are intracellular and inaccessible to conventional antibodies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). To address the &#x201c;undruggable&#x201d; nature of these intracellular oncoproteins, the field has advanced toward targeting pMHC complexes (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1B, C</bold></xref>). This has bifurcated into two distinct structural approaches. (i) TCR Mimic (TCRm) Antibodies (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>). Researchers have utilized phage display and hybridoma technologies to engineer antibodies that mimic the specificity of TCRs (<xref ref-type="bibr" rid="B21">21</xref>). For instance, Li et&#xa0;al. highlighted the utility of chimeric HLA tetramers to refine the specificity of these TCRm antibodies, reducing cross-reactivity against the MHC backbone (<xref ref-type="bibr" rid="B22">22</xref>). Recent work by Hsiue et&#xa0;al. and Douglass et&#xa0;al. also demonstrated the generation of high-affinity &#x201c;MANAbodies&#x201d; (Mutation-Associated NeoAntigen antibodies) in a single-chain diabody (scDb) format (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). These bispecific antibodies can distinguish single amino acid changes in mutant p53 (R175H) or RAS neoantigens presented on HLA, inducing potent T cell killing even at extremely low antigen densities (&lt;10 copies/cell). Furthermore, many researchers utilized <italic>de novo</italic> generative models (e.g., RFdiffusion) to design &#x201c;minibinders&#x201d; against specific pMHC targets with high precision, bypassing the limitations of animal immunization or library screening (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). (ii) Immune-Mobilizing Monoclonal TCRs Against Cancer (ImmTAC) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). An alternative strategy employs affinity-matured soluble TCRs fused to anti-CD3 effectors (<xref ref-type="bibr" rid="B28">28</xref>). The landmark approval of tebentafusp for metastatic uveal melanoma, as detailed by Nathan et&#xa0;al., validated this class. Tebentafusp targets the gp100 peptide presented by HLA-A*02:01 with picomolar affinity, significantly exceeding the affinity of natural TCRs (<xref ref-type="bibr" rid="B29">29</xref>). This ultra-high affinity allows for the recruitment of T cells to tumors with low antigen expression, though it necessitates rigorous safety profiling to prevent cross-reactivity against healthy tissues.</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Mitigating toxicity: precision-activated engagers</title>
<p>Despite the potency of TCEs, the therapeutic window remains a critical bottleneck due to systemic toxicity. To decouple antitumor efficacy from systemic side effects, &#x201c;masked&#x201d; TCEs (also named probodies) have been developed (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). As described by Boustany et&#xa0;al. and Cattaruzza et&#xa0;al., these masking peptides link to the antibody domains via protease-cleavable linkers (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). In the circulation and healthy tissues, the mask prevents binding; however, upon entering the TME, dysregulated proteases cleave the linker, unmasking the TCE and restricting T cell activation specifically to the tumor site. This probody strategy has enabled the safe targeting of ubiquitous antigens like HER2 and EGFR in preclinical models with significantly widened therapeutic index (<xref ref-type="bibr" rid="B32">32</xref>).</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>Overcoming T cell anergy: co-stimulation engagers</title>
<p>Canonical TCEs rely solely on &#x201c;Signal 1&#x201d; (TCR/CD3 engagement), which in the absence of &#x201c;Signal 2&#x201d; (co-stimulation), can lead to the T cell anergy or activation-induced cell death (AICD). To recapitulate a physiological immunological synapse, novel trispecific antibodies have been engineered to engage a tumor antigen alongside both CD3 and the co-stimulatory receptor CD28 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1E</bold></xref>). As demonstrated by Wu et&#xa0;al. and Seung et&#xa0;al., this &#x201c;dual-signaling&#x201d; approach significantly enhances T cell proliferation through co-stimulation. Crucially, these constructs lower the threshold for T cell activation, enabling the elimination of tumors with low antigen density that are typically resistant to standard TCEs (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
<sec id="s2_1_4">
<label>2.1.4</label>
<title>Improving selectivity: dual-targeting engagers</title>
<p>To mitigate tumor immune escape caused by antigenic drift and to enhance tumor specificity, the field has advanced toward dual-targeting strategies (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1F</bold></xref>). This approach employs TCEs designed to bind two epitopes on the same target or two distinct tumor-associated antigens (TAAs). Bacac et&#xa0;al. developed a bivalent Fab domain to a single carcinoembryonic antigen (CEA) and a single Fab domain to CD3, increasing avidity and facilitating the selective lysis of high-expressing tumor cells (<xref ref-type="bibr" rid="B35">35</xref>). An alternative approach utilizes the IgM-based bispecific antibody. Baliga et&#xa0;al. introduced a high avidity of IgM-based CD20&#xd7;CD3 bispecific antibody (IGM-2323) to enhance T cell dependent killing with minimal cytokine release (<xref ref-type="bibr" rid="B36">36</xref>). Although dual-targeting engagers binding the same target effectively increase the avidity to tumor cells, it may also increase binding to healthy tissues that have low levels of the target antigen and cause toxicity. To address this, Carretero-Iglesia et&#xa0;al. described ISB 2001, a trispecific antibody targeting BCMA and CD38; and Roskopf et&#xa0;al. described 33-3&#x2013;19 targeting CD19<sup>+</sup>CD33<sup>+</sup> leukemia cells (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). These molecules leverage &#x201c;super-avidity&#x201d; to induce cytotoxicity against tumor cells with low antigen density using two distinct TAAs that escape mono-targeting agents. While Shen et&#xa0;al. and Tapia-Galisteo et&#xa0;al. illustrated this using logic-gated &#x201c;AND&#x201d; designs (TriTCEs or TriTEs) (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). These logic-gated TCEs require simultaneous binding to both antigens to trigger robust T cell activation, thereby sparing healthy tissues that express only one of the antigens. This dual-targeting modality is essential for overcoming intratumoral heterogeneity and preventing relapse due to single-antigen loss.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>The development of NK cell engagers: from single-activated NKCEs to multifunctional immunotherapeutics</title>
<p>Besides direct T cell-mediated cytotoxicity, the evolution of cancer immunotherapy has expanded to exploit innate immunity through the development of NK cell engagers (NKCEs) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The fundamental premise of NKCEs is to physically bridge the innate immune system and tumor cells, establishing a synthetic immunological synapse that actively redirects cytotoxicity. This architectural innovation is designed to overcome the intrinsic limitations of conventional monoclonal antibodies (mAbs) and early-generation engagers. Traditional approaches often rely on stochastic encounters and passive Fc-mediated antibody-dependent cellular cytotoxicity (ADCC), which are frequently compromised by Fc&#x3b3;RIIIA (CD16A) polymorphisms, competition from physiological serum IgG, and the downregulation of activating receptors within the immunosuppressive TME (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Consequently, the developmental trajectory of NKCEs has evolved from simple surface-targeting constructs to sophisticated, precision-activated mechanisms. To address the progressive challenges identified in early research, NKCEs have evolved through three distinct generations. Representative NK cell engagers currently in clinical trials are shown in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>NK cell engagers currently in clinical trials.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Molecule name</th>
<th valign="middle" align="center">Mechanism</th>
<th valign="middle" align="center">NK cell arm</th>
<th valign="middle" align="center">Tumor antigen</th>
<th valign="middle" align="center">Cytokine payload</th>
<th valign="middle" align="center">Clinical stage</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">AFM13</td>
<td valign="middle" align="center">One NK cell receptor</td>
<td valign="middle" align="center">CD16A</td>
<td valign="middle" align="center">CD30</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">AFM24</td>
<td valign="middle" align="center">One NK cell receptor</td>
<td valign="middle" align="center">CD16A</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">AFM28</td>
<td valign="middle" align="center">One NK cell receptor</td>
<td valign="middle" align="center">CD16A</td>
<td valign="middle" align="center">CD123</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">DF1001</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKG2D, CD16A</td>
<td valign="middle" align="center">HER2</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">DF9001</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKG2D, CD16A</td>
<td valign="middle" align="center">EGFR</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">DF2001</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKG2D, CD16A</td>
<td valign="middle" align="center">CD33</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">DF3001</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKG2D, CD16A</td>
<td valign="middle" align="center">BCMA</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase I</td>
</tr>
<tr>
<td valign="middle" align="center">IPH64</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKp46, CD16A</td>
<td valign="middle" align="center">BCMA</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">SAR443579</td>
<td valign="middle" align="center">Two NK cell receptors</td>
<td valign="middle" align="center">NKp46, CD16A</td>
<td valign="middle" align="center">CD123</td>
<td valign="middle" align="center">No</td>
<td valign="middle" align="center">Phase II</td>
</tr>
<tr>
<td valign="middle" align="center">GTB-3550 TriKE</td>
<td valign="middle" align="center">One NK cell receptor</td>
<td valign="middle" align="center">CD16A</td>
<td valign="middle" align="center">CD33</td>
<td valign="middle" align="center">IL15</td>
<td valign="middle" align="center">Phase II</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*CD16A-based designs may also interact with other Fc&#x3b3;RIIIa-expressing effector cells if using Fc-mediated antibody-dependent cellular cytotoxicity (ADCC).</p></fn>
<fn>
<p>*Clinical stage is summarized up to January 2026.</p></fn>
<fn>
<p>*NK, natural killer; CD16A, cluster of differentiation 16A; CD30, cluster of differentiation 30; EGFR, epithelial growth factor receptor; CD123, cluster of differentiation 123; NKG2D, NK group 2, member D; HER2, human epidermal growth factor receptor 2; CD33, cluster of differentiation 33; BCMA, B cell maturation antigen; NKp46, NK cell receptor 46.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Single activating receptor engagers</title>
<p>The first generation, illustrated in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>, focuses on the robust engagement of Fc&#x3b3;RIIIA (CD16A). A paradigmatic example is AFM13, a tetravalent bispecific antibody targeting CD30 and CD16A which has been tested in phase II clinical trial (<xref ref-type="bibr" rid="B44">44</xref>). These molecules, often termed Innate Cell Engagers (ICEs), recruit NK cells (and macrophages) to the tumor site. By binding CD16A with high affinity, they trigger the phosphorylation of ITAMs that leads to degranulation and lysis. In addition to AFM13, AFM24 targeting EGFR and targeting CD123 have also been tested in clinical trials. While effective, relying solely on CD16A has vulnerabilities (<xref ref-type="bibr" rid="B45">45</xref>). CD16A is prone to proteolytic shedding by ADAM17 upon activation and is frequently downregulated in the immunosuppressive TME, potentially dampening efficacy over time (<xref ref-type="bibr" rid="B46">46</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The development of NK cell engagers. <bold>(A)</bold> First-generation engagers targeting the activating receptor CD16A. These molecules are frequently referred to as innate cell engagers (ICEs) as CD16A is shared by other myeloid lineages, including macrophages. <bold>(B)</bold> Second-generation dual-engagers designed to co-engage CD16A alongside a second activating receptor, such as NKp46, to enhance activation stability. <bold>(C)</bold> Cytokine-armored engagers that integrate an activating receptor (CD16A) with an IL-15 to provide essential survival signals. <bold>(D)</bold> Multifunctional cytokine-armored engagers combining dual-receptor co-engagement (CD16A and NKp46) with an engineered IL-2 variant (IL-2v).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g002.tif">
<alt-text content-type="machine-generated">Panel A shows an antibody engaging NK cell CD16A and tumor cell TAA using an anti-CD16A single-chain fragment. Panel B adds anti-NKp46 binding in a tri-specific molecule to enhance NK cell activation. Panel C illustrates an anti-TAA single-chain fragment with IL-15 and anti-CD16A VHH, activating NK cells via IL-15 receptor and CD16A. Panel D combines anti-TAA, anti-CD16A, anti-NKp46, and IL-2 variant for multi-receptor engagement and cytokine stimulation between NK and tumor cells.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Dual activating receptor engagers</title>
<p>To overcome the instability of CD16A expression, the second generation incorporates a second activating receptor, such as NKG2D, NKp46 or NKp30 (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). For instance, NKG2D and CD16A dual activating NKCEs targeting HER2<sup>+</sup>, EGFR<sup>+</sup>, CD33<sup>+</sup> or BCMA<sup>+</sup> tumor cells have shown greater activation efficacy and entered clinical trials (<xref ref-type="bibr" rid="B47">47</xref>). Nevertheless, persistent engagement of NKG2D by its ligands induces receptor internalization and subsequent NK cell hypo responsiveness (<xref ref-type="bibr" rid="B48">48</xref>). Furthermore, the therapeutic potency of these bispecific antibodies is often compromised by the presence of soluble NKG2D ligands released by tumors via proteolytic shedding or exosomal secretion, which act as decoys to intercept the therapeutic agents (<xref ref-type="bibr" rid="B49">49</xref>). Gauthier et&#xa0;al. detailed a &#x201c;trifunctional&#x201d; NKCE co-engaging NKp46 and CD16A (<xref ref-type="bibr" rid="B50">50</xref>). NKp46 is a natural cytotoxicity receptor (NCR) that is constitutively expressed and, crucially, retained on tumor-infiltrating NK cells even when other receptors like NKG2D are downregulated. Expanding the repertoire of dual-targets, Pekar et&#xa0;al. developed a dual activating NKCE targeting NKp30 and CD16A, which shows synergistic cytotoxicity (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Although dual activating NKCEs induce synergistic activation, leading to full secretory and cytotoxic competence superior to single-receptor engagement, they do not fully address the issue of NK cell persistence in the absence of exogenous cytokines. In clinical, NK cells in patients are often short-lived or functionally exhausted due to cytokine deprivation in the TME.</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Cytokine-armored engagers</title>
<p>Addressing the need for survival signals, the third generation integrates stimulatory cytokines, such as IL-15 or IL-2 variant (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2C, D</bold></xref>). Cytokine-armored engagers with single activating receptor (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>) are exemplified by 16-15-B7-H3 and 16-15&#x2013;33 GTB-3550, incorporate an IL-15 moiety between the anti-CD16A and anti-TAA domains (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Mechanistically, this provides a &#x201c;survival signal&#x201d; directly at the immune synapse. The most advanced architecture (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2D</bold></xref>) represents a convergence of previous strategies, targeting dual activating receptors (CD16A<sup>+</sup> NKp46) while providing an optimized cytokine signal (IL-2 variant) (<xref ref-type="bibr" rid="B55">55</xref>). These molecules utilize an IL-2 variant (IL-2v) engineered to lose binding affinity for the high-affinity IL-2R&#x3b1; (CD25) subunit. By co-engaging NKp46 and CD16A, they ensure potent tumor lysis via synergistic signaling. Simultaneously, the IL-2v provides proliferation signals to effector NK cells (which express IL-2R&#x3b2;&#x3b3;) but strictly avoids stimulating CD25<sup>+</sup> Regulatory T cells (Tregs). This mechanism selectively boosts the effector function while preventing the activation of immuno-suppressive populations.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Other immune cell engagers</title>
<p>Complementing the cytotoxic capabilities of TCEs and NKCEs, the therapeutic arsenal of other immune cell engagers has expanded to encompass the myeloid compartment, which often constitutes the most abundant immune population within the TME. Myeloid lineages possess the distinct versatility to execute tumor clearance via antibody-dependent cellular phagocytosis (ADCP) and to orchestrate adaptive immunity through antigen presentation (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). However, given the propensity of intratumoral myeloid cells to adopt immunosuppressive or pro-tumorigenic phenotypes, the development of myeloid cell engagers aims not merely to redirect effector function, but to fundamentally reprogram the TME (<xref ref-type="bibr" rid="B16">16</xref>). This emerging class of therapeutics exploits two primary mechanistic strategies to convert myeloid cells from passive bystanders into potent antitumor effectors.</p>
<p>One strategy is to bridge tumor antigens with activating FcRs on myeloid cells, thereby triggering antibody-dependent cellular phagocytosis (ADCP) and cytotoxicity. To avoid the immunosuppressive inhibitory receptor CD32B, engagers are engineered to selectively bind activating receptors such as CD64 or CD89 (<xref ref-type="bibr" rid="B58">58</xref>). For instance, bispecific antibodies targeting CD64 and tumor antigens like HER2 have shown promise in promoting ADCP (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Furthermore, targeting CD89 via IgA-based or bispecific IgG constructs can potentate neutrophil-mediated tumor killing (<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>Another strategy is to deliver costimulatory signals, such as CD40 agonists specifically to the tumor site for overcoming the immunosuppressive TME. By tethering CD40 activation to tumor antigens (e.g., mesothelin) (<xref ref-type="bibr" rid="B63">63</xref>), these molecules promote the activation of APCs and enhance T cell cross-priming while minimizing systemic toxicity associated with broad CD40 agonism (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>Despite the limited efficacy observed in early trials of other immune cell engagers, the field is advancing toward more sophisticated architectures. Myeloid cell engagers have emerged as a promising therapeutic strategy capable of remodeling the TME by reactivating resident myeloid populations.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Next generation: multiple immune cell-type co-engagers</title>
<p>Despite the milestones achieved by single-lineage engagers, their therapeutic potential in solid tumors is frequently curtailed by the intricate heterogeneity and profound immunosuppression characteristic of the TME. Recognizing that a potent antitumor response is rarely the result of a single cell type acting in isolation, the simultaneous engagement of multiple immune subsets, bridging adaptive effectors with innate antigen-presenting or cytotoxic cells, holds the promise of overcoming resistance mechanisms and preventing escape variants. Herein, we explore the rising of multiple immune cell-type co-engagers, including their distinctive targets, structural engineering and activation mechanisms, then discuss the advanced technological platforms, from genetic fusions, supramolecular assemblies to chemical conjugations that enable this complex multicellular engagement, paving the way for the next wave of precision immunotherapy.</p>
<sec id="s3_1">
<label>3.1</label>
<title>The rising of T-DC co-engagers: targets, formats, and mechanisms</title>
<p>Accumulating evidence indicates that the durability of antitumor immunity relies critically not merely on T cell presence, but on the quality of T cell priming and rejuvenation mediated by professional antigen-presenting cells, specifically DCs (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>). Consequently, T-DC co-engagers have emerged as a transformative therapeutic class designed to recapitulate and enforce the natural immunological synapse within the TME. By leveraging the DC&#x2019;s intrinsic ability to cross-present antigens and orchestrate adaptive immunity, these co-engagers promise to overcome the limitations of &#x201c;cold&#x201d; TME and mitigate the systemic toxicities associated with non-specific immune activation. Here we summarize representative T-DC co-engagers with diversity mechanisms, target selection and molecular architecture.</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Agonistic co-stimulation and signal replacement</title>
<p>The earliest iterations of T-DC co-engagers are designed to bypass the reliance on endogenous ligands for co-stimulation. Houtenbos et&#xa0;al. demonstrated a novel bispecific diabody targeting CD40 on DCs and CD28 on T cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>) (<xref ref-type="bibr" rid="B68">68</xref>). The mechanism here is twofold: agonistic binding to CD40 induces DC maturation and upregulation of B7 molecules, while simultaneous binding to CD28 provides the essential costimulatory signal to T cells. This approach is particularly relevant in acute myeloid leukemia (AML), where leukemic DCs often lack sufficient costimulatory capacity. Building upon this logic, Muik et&#xa0;al. described the DuoBody-CD40&#xd7;4-1BB, an Fc-inert bispecific antibody (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>) (<xref ref-type="bibr" rid="B69">69</xref>). The primary mechanism of action here is conditional agonism, which addresses a critical safety concern associated with monospecific agonists. The stimulation of 4-1BB on T cells and CD40 on APCs occurs only when the bispecific antibody effectively cross-links both cells. This mutual dependency ensures that immune activation is restricted to sites where T cells and APCs interact, thereby widening the therapeutic window and enhancing the priming of tumor-specific CD8<sup>+</sup> T cells.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The rising of T cell-DC co-engagers. <bold>(A)</bold> Agonistic co-stimulation. Bispecific antibodies targeting CD28 on T cells and CD40 on DCs to induce simultaneous, reciprocal activation of both cell types. <bold>(B)</bold> Conditional activation. Engagers bridging 4-1BB on T cells and CD40 on DCs relies on physical cross-linking to trigger potent co-stimulation, thereby minimizing off-target activation. <bold>(C)</bold> Checkpoint bridging and rejuvenation. This construct targets CD3 and PD-L1 to block PD-L1 on dendritic cells (but not on tumor cells) and facilitates co-stimulation by B7-1&amp;2, leading to the rejuvenation of CD8<sup>+</sup> T cells and the durable antigen-specific T-cell responses. <bold>(D)</bold> Dual checkpoint blockade. Co-engager targeting LAG3 on T cell and PDL1 on DC can achieve a dual immune checkpoint blockade effect. <bold>(E)</bold> Bispecific DC-T Cell Engager (BiCE) targeting PD1 on T cell and CLEC9A on DC. CLEC9&#xd7;PD1 facilitates physical interactions between conventional type I dendritic cells and CD8<sup>+</sup> PD1<sup>+</sup> T cells, enhances immune pathways required for aPD-1-mediated response and results with potent antitumor therapeutic activity. <bold>(F)</bold> Multimodal Targeting Chimeras (Multi-TACs). Trispecific agents that simultaneously engage a TAA on tumor cells, CD3 on T cells, and PD-L1 on DCs. This architecture ensures that T-DC crosstalk occurs specifically within the TME.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g003.tif">
<alt-text content-type="machine-generated">Six labeled panels, A to F, depict various bispecific antibody formats engaging dendritic cells and T cells via different targets such as CD40, CD28, PD1, PDL1, CD3, 4-1BB, LAG3, CLEC9A, and TAA. Each panel illustrates antibody design and cell surface interactions, with F including a tumor cell linked by tri-specific antibodies targeting PDL1, CD3, and TAA.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>Checkpoint bridging and immune rejuvenation</title>
<p>While co-stimulation is vital, the TME requires the simultaneous alleviation of inhibitory signals. A pivotal finding by Liu et&#xa0;al. reshaped our understanding of PDL1 targeting (<xref ref-type="bibr" rid="B70">70</xref>). They demonstrated that the therapeutic efficacy of PDL1&#xd7;CD3 bispecific antibodies (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>) stems not from bridging T cells to tumor cells, but from bridging T cells to PDL1<sup>+</sup> DCs. Mechanistically, this interaction blocks the PD1-PDL1 inhibitory axis while simultaneously facilitating CD28 co-stimulation via the B7 molecules expressed on the DC surface. This &#x201c;cis-interaction&#x201d; on the DC surface leads to the rejuvenation of exhausted CD8<sup>+</sup> T cells, inducing a durable memory response that conventional T-Tumor engagers fail to generate. Similarly, Sung et&#xa0;al. introduced ABL501, a bispecific antibody targeting LAG3 and PDL1 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>) (<xref ref-type="bibr" rid="B71">71</xref>). This format addresses resistance mechanisms where T cells upregulate alternative checkpoints like LAG3. By simultaneously blocking PDL1 on DCs and LAG3 on T cells, ABL501 enhances T cell activation and, crucially, mitigates the suppressive effects of Tregs, which also express LAG3. These approaches represent a sophisticated integration of checkpoint blockade with physical cell-cell bridging. While the above strategies target DCs broadly, Shapir Itai et&#xa0;al. refined this approach with the Bispecific DC-T Cell Engager (BiCE), which pairs PD-1 targeting on T cells with CLEC9A, a marker exclusive to conventional type 1 dendritic cells (cDC1s) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>) (<xref ref-type="bibr" rid="B72">72</xref>). The primary mechanism here is high-precision spatial orchestration: BiCE physically facilitates the interaction between cDC1s (critical for cross-presentation) and PD1<sup>+</sup> T cells in draining lymph nodes and the TME This targeted engagement specifically promotes the expansion of progenitor exhausted T cells (T<sub>PEX</sub>), a stem-like population essential for sustained antitumor immunity, which identified as the pivotal cellular targets governing the efficacy of immune checkpoint blockade. Despite these advancements, ensuring that T-DC interactions occur specifically in the vicinity of the tumor remains a challenge.</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Multimodal integration and spatial orchestration</title>
<p>To achieve T-DC co-engagement within TME, Lin et&#xa0;al. introduced a breakthrough with Multimodal Targeting Chimeras (Multi-TACs, <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref>), facilitated by a triple orthogonal linker (T-Linker) chemical conjugation technology (<xref ref-type="bibr" rid="B15">15</xref>). The EGFR-CD3-PDL1 Multi-TAC moves beyond bispecific to tri-specific integration, forms a synthetic trimeric cellular complex (Tumor-T-DC) with targeting EGFR on tumor cells for localization, CD3 on T cells for engagement and activation, and PDL1 on DCs for engagement and checkpoint blockade. This spatial orchestration ensures that T cell priming by DCs happens in the immediate presence of tumor antigens, leading to robust cytotoxicity and minimizing off-target effects. The modularity of Multi-TACs allows for the incorporation of diverse immunomodulators, creating a programmable system for &#x201c;immune management&#x201d; within the TME.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>The emergence of T-other immune cell co-engagers: synergy, remodeling, and modulation</title>
<p>While the specific engagement of DCs is pivotal for rejuvenating adaptive T-cell immunity, the TME hosts a rich repertoire of other potent effector cells. Recognizing this, the field is expanding the co-engager paradigm to orchestrate a more holistic immune response. Emerging strategies now aim to bridge T cells with key components of the innate immune system (such as NK cells, myeloid cells) and regulatory populations (Tregs). This broader class of T-other immune cell co-engagers seeks to synergize the precision of adaptive immunity with the rapid, MHC-independent cytotoxicity of innate effectors, or achieve the remodeling and modulation toward TME, offering a multipronged strategy to overcome tumor heterogeneity and resistance.</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Synergy: T-NK cell co-engagers</title>
<p>T cells are potent effectors of adaptive immunity, their efficacy is often limited by tumor heterogeneity, specifically the downregulation of MHC-I molecules. While NK cells, acting as the &#x201c;first responders&#x201d; of innate immunity, operate independently of MHC restriction and can eliminate MHC-deficient tumor cells via &#x201c;missing-self&#x201d; recognition (<xref ref-type="bibr" rid="B73">73</xref>). By simultaneously harnessing these two cell types, co-engagers integrate the power of both T cells in adaptive immunity and NK cells in innate immunity, creating a synergistic attack that prevents tumor immune escape.</p>
<p>For T-NK cell co-engagers, Ye et&#xa0;al. utilized an albumin/polyester composite nanoparticle (APCN) to construct a Nanoparticle-based Tri-specific Nano-Antibody (Tri-NAb) (<xref ref-type="bibr" rid="B74">74</xref>). The nanoparticle surface is coated with anti-Fc antibodies, allowing for the directional immobilization of three distinct monoclonal antibodies (anti-PDL1 targeting tumor cells, anti-4-1BB targeting T cells and anti-NKG2A targeting NK cells) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>). Mechanistically, it performs three simultaneous functions: it blocks the immune checkpoint PD-L1 on tumor cells; antagonizes the inhibitory receptor NKG2A to unleash cytotoxicity; and agonizes 4-1BB (CD137) to provide potent costimulatory signals. This spatiotemporal synchronization triggers robust activation and proliferation of both CD8<sup>+</sup> T cells and NK cells, leading to synergistic tumor eradication. After that, Fan et&#xa0;al. optimized the nanoparticle-based platform through Fc&#x3b3;R1-serum albumin fusion protein and hydrophobic poly(l-lactide) single-step assembly, achieving the one-step combination of three distinct monoclonal antibodies (anti-PDL1 targeting tumor cells, anti-PD1 targeting T cells and anti-NKG2A targeting NK cells) (<xref ref-type="bibr" rid="B75">75</xref>). Furthermore, Yu et&#xa0;al. adopted a yeast-based library and yeast surface display system for directed evolution of Staphylococcal enterotoxin B (SEB), then integrated a tumor-targeting nanobody (e.g., anti-Mesothelin) with an engineered high-affinity superantigen (SEB variant) and a computationally designed cytokine (Neo-2/15) through fusion expression (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>) (<xref ref-type="bibr" rid="B14">14</xref>). Unlike conventional bispecific antibodies that rely on anti-CD3 scFv, this construct uses a superantigen to cross-link MHC-II on APCs and specific V&#x3b2; chains on the TCR, inducing broad T cell activation. Crucially, the inclusion of the Neo-2/15 cytokine component allows the molecule to simultaneously bind and activate NK cells (which express IL-2/15R). This design promotes the expansion and survival of both T and NK lineages directly at the tumor site, overcoming the limitations of low-affinity superantigens. Additionally, Lameris et&#xa0;al. created a bispecific antibody based on variable domain of heavy chain of heavy chain (VHH) by fusing a CD1d-specific VHH with a V&#x3b4;2-TCR-specific VHH (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>) (<xref ref-type="bibr" rid="B76">76</xref>). This engager possesses trispecific properties despite being a bispecific molecule. By binding to CD1d on tumor cells, it not only recruits and activates V&#x3b3;9V&#x3b4;2 T cells but also engages Type 1 NKT cells, which recognize lipid antigens presented by CD1d. This dual recruitment effectively bridges innate-like T cell subsets and NKT cell subsets for tumor control.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The emergence of various T cell-centered co-engagers. <bold>(A)</bold> T-NK cell co-engagers targeting a TAA on tumor cell, 4-1BB on T cell and NKG2A on NK cell based on nanoparticle platforms. This design coordinates the simultaneous activation of adaptive and innate immunity. <bold>(B)</bold> T-NK cell co-engager via high-affinity superantigen and neo-2/15 targeting tumor cell via TAA. High-affinity superantigens achieve simultaneous activation of T cells and NK cells, while neo-2/15 further enhance T cells and NK cells expansion and survival. <bold>(C)</bold> V&#x3b3;9V&#x3b4;2 T-NKT cell co-engager via TCR targeting tumor cell via CD1d. CD1d-Vd2 bsTCE selectively engages Vg9Vd2-T and type 1 NKT cells, results in robust antitumor activity and is well tolerated. <bold>(D)</bold> T-M2 macrophage co-engager via CD3 on T cell and CD206 on M2 macrophage. Activated T cells deplete M2 macrophages in the TME. <bold>(E)</bold> Myeloid-targeted immunocytokines and natural killer (NK)-T cell enhancer (MiTEs). MiTEs simultaneously antagonize TREM2 and locally release IL-2 superagonists within tumors, achieving highly efficient synergistic reprogramming of myeloid cells and lymphocytes. <bold>(F)</bold> T-Treg co-engager via 4-1BB on T cell and TIGHT on Treg. Fc-competent TIGIT&#xd7;4-1BBbispecific antibody exerts potent long-lasting antitumor activity by potentiating CD8<sup>+</sup> T cell activity and Fc&#x3b3; receptor- mediated modulation of the TME.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g004.tif">
<alt-text content-type="machine-generated">Diagram showing six approaches to enhance immune targeting of tumor cells, labeled A through F. Each panel includes both molecular schematics and simplified cell interaction diagrams, illustrating immune cell recruitment to tumor cells using various bispecific or multi-specific constructs, such as nanoparticles or engineered antibodies, targeting specific immune and tumor markers for therapeutic purposes.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Remodeling: T-myeloid cell co-engagers</title>
<p>Myeloid cells, particularly tumor-associated macrophages (TAMs), are another type responders of innate immunity through ADCC and cytokine secretion. However, in solid tumors, TAMs often adopt an immunosuppressive M2-like phenotype, erecting physical and metabolic barriers that exclude T cells (<xref ref-type="bibr" rid="B11">11</xref>). Consequently, T-myeloid cell co-engagers are clinically significant because they do not merely target malignant cells; but remodel the stromal architecture to convert &#x201c;cold&#x201d; immune-desert tumors into &#x201c;hot&#x201d; inflamed environments (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>For T-myeloid cell co-engagers, Scott et&#xa0;al. engineered bi-valent T cell engagers fusing CD3 scFv targeting T cells and CD206 VHH or folate receptor &#x3b2; scFv targeting M2-like TAMs. They further developed tri-valent T cell engagers, incorporating an additional anti-CD3 or anti-CD28 domain to enhance potency (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4D</bold></xref>) (<xref ref-type="bibr" rid="B79">79</xref>). These agents redirect endogenous T cells to physically engage and lyse M2-like TAMs. This selective depletion of the immunosuppressive stroma creates a pro-inflammatory window, indirectly facilitating antitumor immunity by removing the &#x201c;brakes&#x201d; on the TME. Von Locquenghien et&#xa0;al. utilized the distinct characterization of TAMs to remodel TME (<xref ref-type="bibr" rid="B80">80</xref>). They developed myeloid-targeted immunocytokines and natural killer (NK)/T cell enhancers (MiTEs), which targeted TREM2 (a myeloid checkpoint on TAMs) and was specifically activated by the tumor-associated protease MMP14 to release IL2 cytokines reacting with IL-2R&#x3b2;&#x3b3; on T and NK cells (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E</bold></xref>). MiTEs employ a dual-action trans mechanism. First, the antibody antagonizes TREM2, reprogramming TAMs from a suppressive to a pro-inflammatory state. Second, high MMP14 levels on TAMs cleave the linker, unmasking IL-2 locally. This triggers robust proliferation and cytotoxicity in bystander CD8<sup>+</sup> T cells and NK cells, achieving potent antitumor efficacy with minimal systemic toxicity.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Modulation: T-Treg co-engagers</title>
<p>T-Treg co-engagers function as &#x201c;ratio-modulators&#x201d; Their clinical significance lies in simultaneously expanding effector T cells while depleting Tregs, thereby mechanically dismantling the immunosuppressive barrier that limits T cell infiltration and function. Based on the study by Son et&#xa0;al., ABL112 represents a novel Fc-competent bispecific antibody designed to exploit the T-Treg axis (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4F</bold></xref>) (<xref ref-type="bibr" rid="B81">81</xref>). ABL112 is constructed by fusing an anti-TIGIT VHH to the N-terminus of a human IgG1 Fc region, with an anti-4-1BB scFv linked to the C-terminus. It blocks the TIGIT-CD155 interaction to restore T cell function while simultaneously inducing TIGIT-dependent clustering and activation of 4-1BB signaling on CD8<sup>+</sup> T cells. Since intratumoral Tregs express significantly higher levels of 4-1BB and TIGIT compared to effectors, the Fc-competent design facilitates ADCC mediated by macrophages and NK cells, selectively eliminating Tregs.</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Multiple immune cell co-engagement platforms</title>
<p>The successful translation of multiple immune cell co-engagers from biological concept to clinical reality relies on the underlying engineering platforms designed to construct these complex multispecific agents. As illustrated in <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>, these platforms can be categorized into three strategies: (i) genetic fusion, which relies on recombinant DNA technology to engineer chimeric protein scaffolds; (ii) nanomedicines or assemblies, which utilize supramolecular chemistry or nanoparticle carriers to present multiple binding ligands; (iii) chemical conjugation, which employs synthetic chemistry, including bio-orthogonal reactions and enzymatic ligation, to covalently link distinct binding moieties.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Diverse multiple immune cell co-engagers platforms. <bold>(A)</bold> Genetic fusion. These are categorized into IgG-like formats (including Knobs-into-Holes, DuoBody, CrossMab, Ortho-Fab, DVD-Ig, and IgG-scFv) which retain the Fc region for stability, and non-IgG-like fragment-based formats (including BiTE, Diabody, DART, TandAb, Bi-nanobody, and Dock-and-Lock [DNL]) designed for enhanced tissue penetration. <bold>(B)</bold> Nanomedicines and assemblies. Platforms leveraging nanoparticle scaffolds or vesicles to present multiple ligands. Representative examples include the multivalent bi-specific nanobioconjugate engager (mBiNE), fusion protein/polymer-based nano-adaptors (FP-NA), bispecific molecularly imprinted nanoimmunoblockers (bsMINIB), and TCR nanovesicle antibodies (TCR NV). <bold>(C)</bold> Chemical conjugation strategies. Approaches that employ synthetic chemistry to covalently link distinct binding moieties. These techniques include bioorthogonal reactions utilizing genetically encoded unnatural amino acids (UAAs), site-specific chemo-enzymatic ligation (e.g., via Sortase A), and direct chemical coupling.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g005.tif">
<alt-text content-type="machine-generated">Panel A shows diagrams of various bispecific antibody formats, including Knobs-into-Holes, Duobody, CrossMab, Ortho-Fab, DVD-Ig, IgG-ScFv, BiTE, diabody, DART, TandAb, Bi-Nanobody, and DNL. Panel B features illustrations of four nanoscale bispecific antibody constructs labeled mBiNE, FP-NA, bsMINIB, and TPC NV. Panel C displays chemical structures and schematics depicting three engineering strategies for generating bispecific antibody conjugates: genetically encoded unnatural amino acids combined with chemical conjugation, enzyme ligation plus chemical conjugation, and direct chemical conjugation.</alt-text>
</graphic></fig>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>Genetic fusion</title>
<p>Genetic fusion remains the most prolific approach for generating multispecific co-engagers (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). These strategies are subdivided into two parts based on the presence or absence of an Fc region: IgG-like formats and non-IgG-like formats (<xref ref-type="bibr" rid="B82">82</xref>). Here introduces the representative genetic fusion strategies to construct multispecific co-engagers.</p>
<p>IgG-like formats provide outstanding half-life and stability, but face the primary challenge for preventing random association of heavy and light chains. Knobs-into-Holes (KiH) pioneered by Ridgway et&#xa0;al. engineer steric complementarity into the CH3 domains of the Fc region (<xref ref-type="bibr" rid="B83">83</xref>). By introducing a bulky amino acid (T366Y &#x201c;knob&#x201d;) into one heavy chain and a smaller residue (Y407T &#x201c;hole&#x201d;) into the other, heterodimerization is thermodynamically favored over homodimerization. Furthermore, scientists also use phage display technology to construct a more stable &#x201c;3 + 1&#x201d; pattern: with three amino acid mutations (T366S, L368A, and Y407V) form a recessed &#x201c;holes&#x201d; type. Duobody utilizes controlled Fab-arm exchange (cFAE). Separately expressed IgG1 molecules containing matched point mutations in the CH3 domain (F405L and K409R) are mixed under mild reducing conditions, driving the efficient recombination of half-molecules into stable bispecific heterodimers (<xref ref-type="bibr" rid="B84">84</xref>). To solve light chain mispairing problem, CrossMab swaps CH1 and CL domains within one arm to enforce correct light chain assembly while retaining the KiH Fc structure (<xref ref-type="bibr" rid="B85">85</xref>). Similar to CrossMab, Ortho-Fab utilizes orthogonal interfaces engineered via specific mutations at VH/VL or CH1/CL domains to electrostatically or sterically drive the correct pairing of light chains (<xref ref-type="bibr" rid="B86">86</xref>). Dual-Variable-Domain Ig (DVD-Ig) and IgG-scFv fuse the other variable domain to the N-terminus or C-terminus, avoiding complex pairing of heterodimers (<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B88">88</xref>).</p>
<p>Non-IgG-like are smaller, fragment-based formats lack an Fc region, offering superior tissue penetration but generally shorter half-lives. They could be directly fused and constructed through simple flexible linkers. BiTE is a tandem scFv format where two scFvs (typically anti-CD3 and antitumor antigen) are linked by a short flexible peptide (<xref ref-type="bibr" rid="B17">17</xref>). Diabody uses a short linker (too short for intramolecular pairing) to link a VH domain from one specificity with a VL domain from another on the same polypeptide chain, forcing intermolecular dimerization (<xref ref-type="bibr" rid="B89">89</xref>). Dual-Affinity Re-Targeting (DART) is an evolution of diabody (<xref ref-type="bibr" rid="B90">90</xref>). DART incorporates a C-terminal disulfide bridge between the two variable domain chains. This covalent linkage significantly enhances stability and reduces the formation of inactive homodimers compared to conventional diabodies. Tandem Diabody (TandAb) is a tetravalent, homodimeric evolution of diabody, formed by the head-to-tail association of two polypeptide chains, each containing four variable domains (<xref ref-type="bibr" rid="B91">91</xref>). Bi-nanobody is composed of VHHs which are ligated by flexible linkers (<xref ref-type="bibr" rid="B92">92</xref>). Dock-and-Lock (DNL) exploits the natural high-affinity dimerization and docking domain of protein kinase A (PKA) and the anchoring domain of A-kinase anchoring proteins (AKAP) to assemble multivalent complexes (<xref ref-type="bibr" rid="B93">93</xref>).</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Nanomedicines or assemblies</title>
<p>Besides genetic fusion, nanomedicines or assemblies have emerged as a versatile platform (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). These supramolecular systems leverage the high surface area-to-volume ratio of nanoparticles to present multiple binding ligands for constructing multispecific co-engagers.</p>
<p>One prominent example is the multivalent bi-specific nanobioconjugate engager (mBiNE) (<xref ref-type="bibr" rid="B94">94</xref>). Yuan et&#xa0;al. leveraged carboxyl-functionalized polystyrene nanoparticles as a stable scaffold, employing EDC/NHS chemistry to covalently anchor antibodies via the formation of amide bonds between primary amines on the proteins and carboxyl groups on the nanoparticle surface. By adjusting the molar ratios of the input proteins during the conjugation reaction, the surface density and ratio of proteins can be fine-tuned to optimize avidity without altering the core nanoparticle properties. Ye et&#xa0;al. utilized a more biocompatible material, APCN coated with anti-Fc antibodies to construct a nanoparticle-based Tri-NAb via the directional immobilization of antibodies (<xref ref-type="bibr" rid="B74">74</xref>). Furthermore, this team optimized this platform through the single-step assembly of Fc&#x3b3;R1-serum albumin fusion protein and hydrophobic poly(l-lactide), which is called the fusion protein/polymer-based nano-adaptor (FP-NA), achieving the one-step combination of antibodies (<xref ref-type="bibr" rid="B75">75</xref>). Guan et&#xa0;al. engineered the bispecific molecularly imprinted nanoimmunoblocker (bsMINIB) using molecularly imprinted polymers (MIPs) (<xref ref-type="bibr" rid="B95">95</xref>). This platform anchors specific N-terminal epitope peptide of proteins onto a silica nanoparticle substrate via boronate affinity. Subsequently, a silicate layer is polymerized around these templates using functional monomers (e.g., organosilanes). Upon removal of the peptide templates, artificial recognition cavities are left behind in the polymer matrix. This construction creates robust, synthetic receptors (&#x201c;plastic antibodies&#x201d;) with high affinity and specificity, avoiding the use of biological antibodies. Leveraging the natural complexity of cell membranes, Li et&#xa0;al. constructed the TCR nanovesicle antibody (TCR NV) using a top-down genetic engineering and membrane extrusion strategy (<xref ref-type="bibr" rid="B96">96</xref>). Jurkat T cells are genetically transduced to stably express tumor-specific TCRs alongside proteins scFvs on their plasma membrane. These engineered membranes are then harvested and mechanically extruded to form nanoscale vesicles. This approach preserves the natural topological orientation and transmembrane anchorage of the targeting proteins, while the vesicle lumen serves as a reservoir for loading small-molecule modulators, integrating biologic display with drug delivery in a single construct.</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Chemical conjugations</title>
<p>Chemical conjugations represent a highly modular platform for the construction of multiple immune cell co-engagers (<xref ref-type="bibr" rid="B97">97</xref>), employing synthetic chemistry to covalently assemble diverse binding moieties and functional payloads, including full-length antibodies, antigen-binding fragments, and immunomodulators (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5C</bold></xref>).</p>
<p>A representative example of this strategy is the synthesis of IgG-like bispecific antibodies using genetically encoded unnatural amino acids (UAA) (<xref ref-type="bibr" rid="B98">98</xref>). Kim et&#xa0;al. demonstrated the site-specific incorporation of p-acetylphenylalanine (pAcF) into the light chains of Fab fragments. These ketone-containing UAAs serve as bioorthogonal handles for conjugation with hydroxylamine-functionalized linkers bearing either an azide or a a bi-cyclo [2.1.0] nonyne (BCN) group. The two functionalized Fabs are then covalently coupled via a copper-free strain-promoted azide-alkyne cycloaddition (SPAAC) reaction. Combining enzymatic precision with synthetic chemistry, Wagner et&#xa0;al. employed a chemo-enzymatic approach utilizing sortase A-mediated transpeptidation to fuse two full-length anti-influenza IgG antibodies at their C-termini (<xref ref-type="bibr" rid="B99">99</xref>). Each antibody is first engineered with a sortase recognition motif (LPXTG) and then enzymatically labeled with either an azide or a dibenzocyclooctyne group (DBCO) group. The subsequent SPAAC reaction generates a stable, covalently linked bispecific IgG heterodimer. Expanding the functional complexity of chemical conjugates, Thoreau et&#xa0;al. utilized a pyridazinedione (PD) scaffold to functionally re-bridge the interchain disulfide bonds of Fab fragments while simultaneously introducing bioorthogonal handles (BCN or tetrazine) to construct IgG-like bispecific synthetic antibodies (SynAbs) (<xref ref-type="bibr" rid="B100">100</xref>). This team then applied this platform to assemble of a three-protein conjugate site-selectively, with the addition of the third bioorthogonal handles (azide) (<xref ref-type="bibr" rid="B101">101</xref>).</p>
<p>As an advancement in chemical conjugation strategies, a highly modular and programmable platform (Multimodal Targeting Chimera, Multi-TAC) developed by Lin et&#xa0;al. leverages a proprietary triple orthogonal linker (T-Linker) technology (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>) (<xref ref-type="bibr" rid="B15">15</xref>). This small-molecule scaffold incorporates a mono-glycine motif, an azide group, and a tetrazine group, facilitating the sequential assembly of three distinct therapeutic modules via sortase A-mediated transpeptidation, strain-promoted azide-alkyne cycloaddition (SPAAC) and inverse electron-demand Diels-Alder (IEDDA) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6B</bold></xref>). Functionally, Multi-TACs are engineered to spatially orchestrate multiple immune pathways; thereby coordinating lymphocyte cell with myeloid cell activation with specifically within the tumor microenvironment (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6C</bold></xref>). Nevertheless, the practical application of this platform faces certain limitations. The reliance on multistep orthogonal reactions necessitates intricate chemical synthesis and purification processes. Furthermore, the <italic>in vivo</italic> pharmacokinetics of these synthetic constructs have not been exhaustively characterized. Despite these challenges, Multi-TACs offer a modular and programmable strategy for the rational design of multispecific agents, representing a promising avenue for future immunotherapeutic development.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Multi-TAC: a triple orthogonal immune cell co-engager platform for TIME-management. <bold>(A)</bold> Schematic of the Multi-TACs platform. A triple orthogonal linker (T-Linker) contains a single glycine group, an azide group (N<sub>3</sub>) and a tetrazine group (Tz), integrating various therapeutic small molecules and biomolecules as multimodal targeting chimeras (Multi-TACs) through three mutually orthogonal chemical reactions to target the TIME. <bold>(B)</bold> Synthetic workflow. Three different therapeutic modules are first ligated with the T-Linker, a dibenzocyclooctyne group (DBCO) or a bi-cyclo [2.1.0] nonyne group (BCN) using sortase A (SrtA) transpeptidation reaction, and subsequently assembled onto the scaffold through N<sub>3</sub>/DBCO and Tz/BCN bioorthogonal reactions. <bold>(C)</bold> Modular versatility. Multi-TACs are capable of integrating various therapeutic small molecules and biomolecules including proteins, peptides, small molecules and nucleic acids, allowing for the simultaneous engagement of diversity immune cell types including lymphocytes and myeloid cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1783276-g006.tif">
<alt-text content-type="machine-generated">Diagram showing a triple orthogonal linker (T-Linker) used to create modular MultiTAC complexes targeting components of the tumor immune microenvironment (TIME). Panel A illustrates the T-Linker structure and MultiTAC assembly. Panel B details the stepwise bioorthogonal and transpeptidation reactions used for modular construction. Panel C depicts MultiTAC's functional modules for lymphocyte engagement, tumor targeting, and myeloid cell engagement, listing specific molecule targets and components used in each module.</alt-text>
</graphic></fig>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Concluding remarks</title>
<p>For decades, immune cell engagers have primarily focused on engaging a single type of immune cell, most commonly T cells or NK cells. While clinical success has already been achieved with T cell-engaging agents in hematological malignancies, their efficacy in solid tumor is often hindered due to immunosuppressive barriers within the TME. The diversification toward multiple immune cell co-engagers, which encompass innate effectors and other immune subsets, marking a pivotal shift from simple cytotoxicity to comprehensive reprogramming of the TME. This strategy represents a conceptual leap forward, moving beyond the basic &#x201c;bridging&#x201d; function of traditional bispecific antibodies toward orchestrating a coordinated &#x201c;immune symphony.&#x201d;</p>
<p>By physically and functionally linking adaptive effectors (such as T cells) with innate immune drivers (including NK cells, DCs, and myeloid subsets), these novel modalities address key limitations of single-lineage engagers. Conventional T cell engagers (TCEs), while potent, are frequently compromised by the scarcity of tumor-infiltrating lymphocytes in &#x201c;cold&#x201d; tumors, the development of T cell exhaustion and tumor immune escape via antigen downregulation or MHC-I loss. Similarly, the efficacy of NK cell engagers (NKCEs) is often curtailed by the short lifespan of NK cells and their dependence on exogenous cytokines for persistence. While through revitalizing T cell priming via T-DC crosstalk, enhancing synergistic cytotoxicity via T-NK engagement, or remodeling the stromal architecture through T-myeloid cell interactions, this multi-pronged approach provides a robust mechanism to convert immunologically &#x201c;cold&#x201d; tumors into inflamed, tumoricidal niches. Nevertheless, each subclass of these co-engagers encounters distinct biological hurdles that must be overcome to achieve optimal efficacy. T-DC co-engagers face the risk of inducing systemic autoimmunity if potent agonists are not strictly confined to the tumor bed. T-NK co-engagers yet are challenged by the distinct cytokine requirements of NK cells, which often fail to persist without exogenous support. T-Myeloid engagers may trigger a &#x201c;cytokine storm&#x201d; or failing to fully reverse the M2-suppressive phenotype remains high. Similarly, T-Treg co-engagers face the precarious balance of relieving tumor immunosuppression without breaking peripheral tolerance and causing autoimmune adverse events in healthy tissues.</p>
<p>Besides, the translation of these complex multispecific agents from concept to clinical reality is also restricted by immature technology platforms. Genetic fusion, while versatile, often grapple with protein misfolding and chain mispairing. Nanomedicines and assemblies provide a versatile platform for multivalent presentation and co-delivery, yet can suffer from heterogeneity and potential formulation issues. Chemical conjugations offer modularity, but may involve complex synthesis and purification steps. Despite these advancements, there remains a critical need for a platform that seamlessly integrates the best features of these approaches: modularity, programmability, defined stoichiometry, and superior tumor penetration, while overcoming their respective drawbacks.</p>
<p>Looking forward, despite the biological hurdles and engineering complexities discussed above, the trajectory of multiple immune cell co-engagement remains exceptionally promising, representing a paradigm shift from linear immune signaling to network-based orchestration. The evolution of this field will be defined by the convergence of rational molecular design, chemical biology, and artificial intelligence to develop more clinical promising therapeutics. Clinically, the next generation of therapeutics will likely transition from static multispecific constructs to dynamic, logic-gated systems (e.g., protease-activated probodies) that rely on TME-specific triggers to unlock activity. This strategy ensures immune activation occurs strictly within the tumor bed, thereby decoupling efficacy from systemic toxicity. Furthermore, the successful translation of these agents will depend on moving away from a &#x201c;one-size-fits-all&#x201d; approach toward precision stratification, utilizing biomarkers to identify patient subgroups with the requisite immune topography, and deploying synergistic combinations with checkpoint inhibitors or adoptive cell therapies. Ultimately, by harnessing the collective and coordinated power of the distinct immune subsets, multiple immune cell co-engagement holds the potential to dismantle the barriers of tumor heterogeneity and resistance, paving the way for more durable and curative outcomes in the fight against cancer.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>HL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YZ: Writing &#x2013; review &amp; editing. QW: Writing &#x2013; review &amp; editing. QS: Writing &#x2013; review &amp; editing. FL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PC: Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s7" 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="s8" 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="s9" 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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