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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1662145</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Next-generation T cell immunotherapy: overcoming exhaustion, senescence, and suppression</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Guangmei</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Dengju</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/1746340/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhu</surname>
<given-names>Xiaojian</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/829013/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology</institution>, <addr-line>Wuhan, Hubei</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2790989/overview">Philipp C. Rommel</ext-link>, University of Pennsylvania, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1067565/overview">Aquib Ehtram</ext-link>, La Jolla Institute for Immunology (LJI), United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1846091/overview">Agnieszka Bojarska-Junak</ext-link>, Medical University of Lublin, Poland</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaojian Zhu, <email xlink:href="mailto:zhuxiaojian@hust.edu.cn">zhuxiaojian@hust.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1662145</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Li, Li and Zhu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Li and Zhu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>T-cells are a core component of tumor immunotherapy because of their potent ability to identify and kill cancer cells. Yet efficacy is limited by exhaustion, senescence, metabolic dysregulation, an immunosuppressive tumor microenvironment (TME), and limited persistence. This review analyzed these key issues and proposed targeted improvement strategies. Emerging approaches encompass pharmacological modulation of T cell activation and survival pathways, epigenetic reprogramming to reverse exhaustion and senescence, metabolic engineering, combinatorial targeting of immunosuppressive TME components and advanced genetic tools, notably CRISPR-Cas9&#x2013;based CAR-T optimization, which exemplifies how precise genome editing can enhance therapeutic efficacy. We review the progress and prospects of T-cell improvement strategies in tumor immunotherapy, emphasizing the need for further exploration to enhance the broader application and long-term efficacy of T-cell therapies. This review highlights recent advances and future directions in T-cell engineering, metabolic modulation, and microenvironment targeting, aiming to translate innovations into effective cancer immunotherapies.</p>
</abstract>
<kwd-group>
<kwd>T-cell enhancement</kwd>
<kwd>tumor immunotherapy</kwd>
<kwd>T-cell exhaustion and aging</kwd>
<kwd>metabolic regulation</kwd>
<kwd>microenvironment optimization</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="115"/>
<page-count count="16"/>
<word-count count="8095"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>T Cell Biology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Background</title>
<p>Tumor immunotherapy leverages the immune system to identify and destroy cancer cells and offers a more targeted approach with fewer side effects, while chemotherapy and radiotherapy often harm healthy tissues and cause more side effects. Since the late 19th century, when William Coley first used bacterial toxins to induce an immune response to treat cancer (<xref ref-type="bibr" rid="B1">1</xref>), tumor immunotherapy has advanced significantly, highlighted by FDA approval of immune checkpoint inhibitors like ipilimumab in 2011 (<xref ref-type="bibr" rid="B2">2</xref>), greatly improving patient survival and durable immune responses against cancer (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>In many tumor immunotherapies, T cells are the core of the adaptive immune response due to their strong adaptability and precision in targeting tumor cells. In contrast, NK-cell&#x2013;based therapies often exhibit limited persistence and fail to generate antigen-specific memory. Similarly, macrophage-based approaches are highly plastic and can be reprogrammed into pro-tumor phenotypes within the tumor microenvironment. T cells uniquely combine durable survival, antigen-specific recognition, and engineering flexibility, underscoring their central role in immunotherapy development. By&#xa0;targeting tumor-associated antigens presented by major histocompatibility complex (MHC) molecules, cytotoxic T cells (CTL) can specifically identify and destroy cancer cells without damaging normal tissues. This highly specific targeting provides T cells with distinct advantages over conventional cancer therapies.</p>
<p>Despite the remarkable success of T cell&#x2013;based immunotherapies, substantial challenges remain in achieving durable and universal responses across diverse cancer types. Tumor cells are highly heterogeneous and often express a spectrum of immunosuppressive ligands, thereby enabling immune escape through multiple mechanisms within the tumor microenvironment. Recent T cell-based immunotherapies, including immune checkpoint inhibitors, chimeric antigen receptor (CAR)-T cell therapy, TCR-engineered T cells, bispecific T-cell engagers, and tumor-infiltrating lymphocyte (TIL) therapy, have expanded the therapeutic landscape. These approaches restore T-cell activity, block inhibitory signaling, and induce sustained antitumor responses, with CAR-T therapy showing particularly notable efficacy in hematologic malignancies. Moreover, emerging studies have highlighted the key role of T-cells in adoptive cell therapy. It is crucial to optimize T-cell-based immunotherapy, including T-cell activity, proliferative capacity, persistence, and cytotoxicity. In the future, innovative strategies to improve T-cell function are expected to significantly enhance the clinical effectiveness of immunotherapy. This review summarizes the strategies for improving T cell function and explores their potential in addressing tumor immune escape and enhancing therapeutic efficacy.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Mechanisms of T-cell activation and functional regulation</title>
<p>In immunotherapy, antigen recognition by T cells and the associated signaling pathways involve a complex network of molecular mechanisms. T cells can specifically identify and respond to foreign pathogens or abnormal cells while avoiding attacks on the body&#x2019;s tissues. By modulating these mechanisms, the antitumor and antiviral capabilities of T cells can be enhanced. A deeper understanding of these processes may offer new avenues for optimizing T-cell function in immunotherapy, ultimately improving treatment outcomes.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Antigen presentation</title>
<p>Antigen-presenting cells (APCs) capture antigens via phagocytosis or receptor-mediated endocytosis, degrade them into peptides, and bind these peptides to major histocompatibility complex (MHC) molecules to form MHC-antigen complexes. These complexes then interact with T-cell receptors (TCRs) to deliver an initial activation signal, which is fundamental for T cells to recognize specific antigens and initiate responses. APCs deliver a second signal via co-stimulatory molecules (e.g., CD80/CD86 interacting with CD28 on T cells) to ensure the complete activation of T cells and prevent them from entering a hypofunctional or tolerant state. APCs also secrete cytokines, to deliver a third signal. These cytokines regulate the growth and differentiation of T cells, guiding their differentiation into effector and memory T cells. APCs play a key role in the initiation of T cell immune responses by determining the activation, expansion, and functional status of T cells.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Mechanisms of MHC class I and II antigen presentation</title>
<p>MHC class I molecules are primarily responsible for presenting endogenous antigens to CD8 + T cells (<xref ref-type="bibr" rid="B4">4</xref>). In the endoplasmic reticulum (ER), unfolded MHC I molecules bind to calnexins to ensure proper folding. Subsequently, MHC I binds non-covalently to &#x3b2; 2-microglobulin to stabilize the structure. The transporter associated with antigen processing (TAP) transports the peptide to the endoplasmic reticulum for assembly into the antigen-binding groove of MHC I. This complex is then transported to the cell surface via the Golgi apparatus. CD8 + T cells are activated after their receptors bind to antigenic peptides on MHC I, leading to the release of perforin and granzyme, which directly kill infected or cancerous cells.</p>
<p>MHC class II molecules primarily present exogenous antigens to CD4 + helper cells (<xref ref-type="bibr" rid="B5">5</xref>). MHC class II molecules are synthesized in the ER and bind to invariant chains to prevent endogenous antigens from occupying the antigen-binding groove. HLA-DM then removes Class II-associated invariant chain peptide (CLIP), allowing exogenous antigen peptides to bind to MHC II. The MHC II-antigen complex is transported to the cell surface, where it interacts with the CD4 + T cell receptor to activate CD4 + T cells, leading to the activation of CD8 + cytotoxic T and B cells, coordinating the immune response (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Tumors achieve immune evasion through dysregulation of the MHC expression pathway. Therapies that use IFN-&#x3b3; to restore MHC I expression can reenable CD8+ T cells to recognize tumors. Additionally, enhancing the expression of MHC II on antigen-presenting cells (APCs) can enhance the helper function of CD4+ T cells, which is crucial for maintaining an effective anti-tumor immune response and improving the success rate of vaccines and immune checkpoint blockade therapies.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>TCR signaling</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Structures and signaling pathways</title>
<p>TCR signaling cascade starts with antigen recognition, leading to the recruitment of the Src family kinase, Lck, to the TCR complex. Lck phosphorylates immunoreceptor tyrosine-based activation motifs (ITAMs) on CD3 subunits, a process that subsequently recruits and activates the protein tyrosine kinase zeta-chain&#x2013;associated protein kinase of 70 kDa (ZAP-70) (<xref ref-type="bibr" rid="B7">7</xref>). Once activated, ZAP-70 phosphorylates the key adaptor proteins LAT and SLP-76 (<xref ref-type="bibr" rid="B7">7</xref>), which are essential for assembling signaling complexes. Phosphorylated LAT acts as a docking site for several proteins, including PLC&#x3b3;, GRB2, and Gads (<xref ref-type="bibr" rid="B7">7</xref>), which initiates downstream signaling. The activation of PLC&#x3b3; is crucial for the calcium signaling pathway. This signaling cascade enhances T-cell activity and triggers cellular responses.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Costimulatory signals and their effects</title>
<p>While recognition of peptide&#x2013;MHC complexes by TCRs provides the initial activation signal, this alone is insufficient for full T-cell activation. A crucial second signal is delivered through co-stimulatory pathways, most prominently the interaction of CD28 on T cells with CD80 (B7.1) or CD86 (B7.2) on APCs (<xref ref-type="bibr" rid="B8">8</xref>). This engagement promotes T-cell proliferation, cytokine secretion, survival, and effector functions. These co-stimulatory signals activate downstream pathways such as PI3K&#x2013;AKT and ERK/MAPK, reinforcing T-cell activation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Mechanisms of T-cell activation and functional regulation T cells recognize antigens via T-cell receptors (TCR) presented by antigen-presenting cells (APCs) through MHC molecules, with co-stimulatory signals and cytokines promoting T cell activation, proliferation, and differentiation into effector and memory cells.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1662145-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the mechanisms of T-cell activation and functional regulation between a T cell and an antigen-presenting cell. Key components include IFN&#x3b1;R, TCR, CD28, MHC, CD80/86, and cytokine receptors. Signaling pathways inside the T cell involve NFAT, FOS, JUN, NFkB, ZAP70, SLP76, PLC&#x3b3;, PI3K, DAG, and JAK. IFN&#x3b1;, IL-2, and IL-12 are highlighted in signal transduction.</alt-text>
</graphic>
</fig>
<p>The design of CAR-T cells is a direct clinical application of these TCR signaling principles. CARs incorporate ITAM-containing CD3&#x3b6; domains to initiate activation and costimulatory domains (e.g., CD28, 4-1BB) to enhance T cell persistence and function. This synthetic biology approach exemplifies how targeted manipulation of T cell signaling pathways can generate potent antitumor immunity. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> presents the mechanisms of T cell activation.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Mechanisms of T cell activation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Signal Type</th>
<th valign="middle" align="center">Key Molecules</th>
<th valign="middle" align="center">Primary Function and Effect</th>
<th valign="middle" align="center">Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">First Signal (Antigen Recognition)</td>
<td valign="middle" align="left">TCR recognition of pMHC complex</td>
<td valign="middle" align="left">Provides antigen-specific recognition; serves as the foundational and initiating signal for T cell activation.</td>
<td valign="middle" align="left">TCR: T cell receptor, responsible for specific antigen recognition. pMHC: Peptide-Major Histocompatibility Complex, presented by Antigen-Presenting Cells (APCs).</td>
</tr>
<tr>
<td valign="middle" align="left">Signal Initiation</td>
<td valign="middle" align="left">Lck phosphorylates ITAMs</td>
<td valign="middle" align="left">Initiates downstream signal transduction cascades.</td>
<td valign="middle" align="left">Lck: A Src-family tyrosine kinase, responsible for initiating phosphorylation. ITAMs: Immunoreceptor Tyrosine-based Activation Motifs, which are signaling modules on CD3 molecules.</td>
</tr>
<tr>
<td valign="middle" align="left">Signal Transduction</td>
<td valign="middle" align="left">ZAP-70 is recruited and activated</td>
<td valign="middle" align="left">Relays and amplifies the upstream signal for propagation to downstream effectors.</td>
<td valign="middle" align="left">ZAP-70: A tyrosine kinase that binds phosphorylated ITAMs; a critical node in signal transduction.</td>
</tr>
<tr>
<td valign="middle" align="left">Signal Assembly</td>
<td valign="middle" align="left">ZAP-70 phosphorylates LAT and SLP-76</td>
<td valign="middle" align="left">Forms a signalosome, serving as a scaffold platform for the assembly of multiple downstream signaling pathways.</td>
<td valign="middle" align="left">LAT: Linker for Activation of T cells, a crucial adaptor protein. SLP-76: Another key adaptor protein that functions cooperatively with LAT.</td>
</tr>
<tr>
<td valign="middle" align="left">Downstream Pathway&#x200b;&#x200b;</td>
<td valign="middle" align="left">PLC&#x3b3; is recruited and activated</td>
<td valign="middle" align="left">Hydrolyzes PIP<sub>2</sub>, initiating the calcium signaling pathway and triggering cellular responses.</td>
<td valign="middle" align="left">PLC: Phospholipase C gamma, acts as a bridge connecting upstream signals to downstream pathways such as calcium flux. Calcium signaling pathway: A rise in intracellular calcium concentration is a pivotal event for T cell activation.</td>
</tr>
<tr>
<td valign="middle" align="left">Second Signal (Co-stimulation)</td>
<td valign="middle" align="left">CD28 (on T cell) binding to B7 (CD80/CD86 on APC)</td>
<td valign="middle" align="left">Provides a critical co-stimulatory signal to ensure full activation, prevent anergy, and promote proliferation, survival, and cytokine production.</td>
<td valign="middle" align="left">B7: A family of co-stimulatory molecules on APCs, including B7.1 (CD80) and B7.2 (CD86).</td>
</tr>
<tr>
<td valign="middle" align="left">Downstream Pathway</td>
<td valign="middle" align="left">Activation of PI3K-AKT and ERK/MAPK pathways</td>
<td valign="middle" align="left">Activated by the co-stimulatory signal; collectively promote T cell activation.</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Third Signal (Cytokines)</td>
<td valign="middle" align="left">Cytokines secreted by APCs</td>
<td valign="middle" align="left">Regulate T cell growth and differentiation, directing their development into effector and memory cells.</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>The corresponding immunotherapy strategies directly target these signals: dendritic cell vaccines aim to optimize antigen presentation and co-stimulation. Cytokine therapy provides strong cytokine signals to drive T cell expansion and memory differentiation. Both are clinical transformation examples targeting the fundamental mechanism of the APC-T cell interaction.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Problem analysis</title>
<p>Before discussing targeted solutions, it is essential to clarify the major challenges faced by immunotherapy within the tumor microenvironment. Such an analysis provides the conceptual foundation for the problem-oriented strategies outlined in the following section.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Functional exhaustion of T-cells</title>
<p>T cell failure is a common dysfunction in chronic infections and cancer. This process not only impairs T cell immune responses but also involves metabolic alterations and unique transcriptional programs that distinguish exhausted effector T cells (TEF) from memory T cells (TMEM) (<xref ref-type="bibr" rid="B9">9</xref>). Exhausted T cells exhibit high expression of inhibitory receptors like PD-1, Lag-3, and Tim-3, further suppressing their function. Blocking PD-1 can reverse T cell migration arrest and partially restore effector function (<xref ref-type="bibr" rid="B10">10</xref>). These findings underscore PD-1 as a nexus integrating T cell receptor signaling, metabolic fitness, and epigenetic programming&#x2014;a complexity that demands combinatorial targeting rather than monotherapy. Targeting this exhaustion axis&#x2014;driven by chronic antigen exposure and manifesting as proliferative arrest, cytotoxic collapse, and immunosuppressive checkpoint upregulation&#x2014;provides a strategic entry point for combinatorial therapies to reinvigorate T cell function.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>T cell aging mechanisms</title>
<p>Senescent T cells display distinct surface markers, including high expression of senescence-associated &#x3b2;-galactosidase (SA-&#x3b2;-galactosidase), reduced expression of costimulatory molecules CD27 and CD28, and upregulation of inhibitory receptors such as Tim-3. Changes in these markers and their functional features often lead to T-cell dysfunction, which affects their antitumor capacity (<xref ref-type="bibr" rid="B11">11</xref>). For instance, loss of CD28 reduces the ability of T cells to receive costimulatory signals critical for activation, while increased Tim-3 expression correlates with reduced cytokine production and survival. Importantly, such surface markers also provide potential therapeutic entry points&#x2014;for example, blocking inhibitory receptors or rejuvenating senescent T cells through telomerase activation or metabolic reprogramming. Thus, integrating the functional and therapeutic implications of aging markers is essential for improving immunotherapeutic efficacy. Understanding the mechanisms of aging and exploring effective reversal or intervention strategies are expected to improve the success rate of immunotherapy and prognosis of cancer patients.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Metabolic competition and inhibition in tumor microenvironment</title>
<p>Upon activation, T cells undergo profound metabolic remodeling. Effector T cells rely heavily on aerobic glycolysis to support rapid proliferation and effector function, whereas memory T cells depend primarily on fatty acid oxidation (FAO) and oxidative phosphorylation for long-term survival and surveillance (<xref ref-type="bibr" rid="B12">12</xref>). Specific enzymes such as hexokinase 2 (HK2) and pyruvate dehydrogenase (PDH) regulate glycolytic flux, while transporters such as glucose transporter 1 (GLUT1) and monocarboxylate transporter 4 (MCT4) mediate nutrient uptake and lactate export, respectively. Dysregulation of these pathways compromises T-cell survival and function. In the tumor microenvironment (TME), metabolic competition is intense: tumor cells with high glycolytic and amino acid demands deplete glucose, glutamine, and fatty acids, leaving T cells metabolically starved. Elevated potassium levels and inhibitory signals (e.g., PD-L1/PD-1 axis) further suppress T-cell metabolic fitness, blunting cytokine production and cytotoxicity (<xref ref-type="bibr" rid="B13">13</xref>). Clinically, therapeutic strategies targeting metabolic checkpoints&#x2014;such as enhancing FAO in memory T cells or inhibiting tumor glycolysis&#x2014;represent promising avenues for improving T-cell&#x2013;based immunotherapies.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Tumor microenvironment-mediated suppression</title>
<p>The tumor microenvironment (TME) harbors multiple immunosuppressive mechanisms that impede effective T-cell&#x2013;mediated antitumor responses (<xref ref-type="bibr" rid="B13">13</xref>). For example, in pancreatic cancer and ovarian cancer, dense stromal fibrosis forms a physical &#x201c;immune barrier&#x201d; that restricts T-cell infiltration (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). In melanoma, tumor-associated fibroblasts (CAFs) secrete CXCL12, repelling T cells away from tumor nests (<xref ref-type="bibr" rid="B16">16</xref>). Meanwhile, myeloid-derived suppressor cells (MDSCs) accumulate in colorectal and lung cancers, releasing arginase and reactive oxygen species that suppress T-cell effector function (<xref ref-type="bibr" rid="B17">17</xref>). Moreover, vascular endothelial growth factor (VEGF) and other factors indirectly inhibit T-cell infiltration by altering blood vessel function (<xref ref-type="bibr" rid="B13">13</xref>). Together, these TME-derived factors synergistically dampen antitumor immunity and reduce the efficacy of immunotherapies. Consequently, rationally designed combination strategies that simultaneously target TME barriers (e.g., anti-VEGF therapy, CAF inhibition) and enhance T-cell resilience hold strong potential for improving clinical outcomes.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Limited persistence of T cells</title>
<p>T cell persistence is closely associated with the success of immunotherapy. Although effector memory T cells (TEM) can quickly respond to antigens, they lack persistence and rapidly decline after antigen clearance, leading to insufficient long-term immunity. There are multiple mechanisms for the poor persistence of T cells, including telomere shortening which leads to accelerated replicative senescence (<xref ref-type="bibr" rid="B18">18</xref>). Cytokine dependence, especially the insufficient signals of IL-7 and IL-15, limits long-term survival (<xref ref-type="bibr" rid="B19">19</xref>). Epigenetic regulation, including changes in DNMT3A and TET2, affects memory differentiation and persistence (<xref ref-type="bibr" rid="B20">20</xref>). Metabolic stress and oxidative damage can damage the health of mitochondria, further shortening lifespan (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, some current vaccines induce short-term responses dominated by TEM, which may result in inadequate long-term immune protection (<xref ref-type="bibr" rid="B22">22</xref>). In chronic infections, prolonged antigen exposure causes T cells to undergo functional decline (exhaustion) and replicative aging, leading to decreased function and impaired persistence (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). T-cell exhaustion further aggravates the failure of immune function; therefore, the main focus of future immunotherapy and vaccine design should be on converting exhausted T cells into durable stem-like memory subsets, aiming to achieve sustained tumor control through enhanced T cell persistence.(<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Problem analysis. <bold>(A)</bold> The accumulation of immunosuppressive cytokines is a key driver of T cell functional exhaustion. Tumor-associated macrophages (TAMs) exacerbate this process by secreting ROS, inducing PD-L1 expression and participating in adenosine metabolism, thus forming multiple immunosuppressive mechanisms. Lipid accumulation within tumor-infiltrating lymphocytes (TILs) induces metabolic stress and further impairs T cell function. <bold>(B)</bold> Thymic involution leads to a reduction in T cells, aging-related signals induce the senescence-associated secretory phenotype (SASP), and telomere shortening, along with changes in T cell phenotype and differentiation states, collectively drive T cell senescence. Moreover, Treg cells and tumor cells utilize cAMP to induce senescence in na&#xef;ve and effector T cells, resulting in the loss of CD27 and CD28, thereby amplifying immunosuppressive effects in the tumor microenvironment. Markers of T cell senescence include KLRG1, CD57, and the recently identified receptor TIGIT. <bold>(C)</bold> Persistent antigen stimulation and inhibitory receptors like PD-1 and CTLA-4 remodel T cell metabolism, suppressing glucose and glutamine metabolism, impairing mitochondrial function, and increasing reliance on fatty acid oxidation. The tumor microenvironment worsens metabolic dysfunction with hypoxia, altered tryptophan and arginine metabolism, elevated lactate, and competition with cancer cells for glucose. <bold>(D)</bold> CCL2 indirectly inhibits the recruitment of T cells by recruiting MDSCs and macrophages. Tumor endothelial cells suppress T cell infiltration via FasL, ETBR, and B7H3. TME metabolic abnormalities, TAMs modulated by B cells, and CAFs via ECM capture and CXCL12-driven exclusion collectively impair T cell proliferation, infiltration, and antitumor activity while activating immunosuppressive cells. <bold>(E)</bold> Acute stimulation generates functional T cells, while chronic stimulation induces exhaustion. Both weaken CD8+ T cell persistence, reducing their long-term antitumor immunity efficacy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1662145-g002.tif">
<alt-text content-type="machine-generated">A multi-part illustration titled &#x201c;Problem Analysis&#x201d; depicts various factors affecting T-cell functionality.   Panel A: Shows functional exhaustion of T-cells with elements like TGF-&#x3b2;, IL-10, cholesterol, and tumor-associated macrophages (TAM).  Panel B: Illustrates T-cell aging mechanisms, including thymic involution, telomere shortening, and SASP factors.  Panel C: Details T-cell metabolic dysregulation due to antigen persistence, nutrient competition, and pathways involving IDO and ARG1.  Panel D: Describes tumor microenvironment-mediated suppression of T-cell function with elements like cytokines and macrophages.  Panel E: Depicts limited persistence of T-cells, distinguishing stages from naive to terminal exhaustion.</alt-text>
</graphic>
</fig>
<p>Importantly, these mechanisms are not independent. T-cell aging accelerates the development of exhaustion, while metabolic stress in the tumor microenvironment further amplifies both processes by impairing mitochondrial function and nutrient utilization. In turn, these converging pressures critically undermine T-cell persistence, highlighting that therapeutic strategies must simultaneously address senescence, exhaustion, metabolic fitness, and TME-mediated suppression to achieve durable antitumor immunity.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Problem-oriented strategy</title>
<p>Having identified the key obstacles in immunotherapy, this section turns to problem-oriented strategies. We focus on metabolic reprogramming, checkpoint blockade combinations, targeting of suppressive cell populations, and microenvironmental remodeling. Collectively, these strategies aim to mitigate the limitations described in Section 3, enhance T-cell persistence and effector function, and facilitate the clinical translation of immunotherapeutic approaches.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Improve T cell activation and persistence</title>
<sec id="s4_1_1">
<label>4.1.1</label>
<title>Transformation of the antigen presentation process</title>
<p>Targeted optimization can be achieved by modifying the antigen presentation process, thereby addressing the issue of limited T cell persistence. MAPK inhibitors effectively suppress the proliferation of cancer cells and enhance the transcription of MHC-I genes, promoting the activation of CD8+ T cells and increasing their infiltration into solid tumors (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, researchers have engineered dynamic lipid bilayers that co-present TCR and co-stimulatory signals in a physiologically ordered manner, sustaining T-cell expansion and cytokine (e.g., IL-2) support while avoiding the abrupt over-activation linked to single high-dose stimulation (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Despite their therapeutic potential, MAPK pathway inhibitors (such as BRAF/MEK inhibitors) are associated with hepatotoxicity (<xref ref-type="bibr" rid="B28">28</xref>), and in clinical practice adaptive or acquired resistance frequently emerges. Meanwhile, artificial cell systems or carriers based on lipid bilayers continue to face engineering and translational challenges in terms of large-scale manufacturing and <italic>in vivo</italic> delivery (<xref ref-type="bibr" rid="B29">29</xref>). Therefore, at the current stage, these strategies are more appropriately considered as adjuncts or components of combination therapies rather than standalone treatments, unless substantive breakthroughs are achieved in safety and delivery technologies.</p>
</sec>
<sec id="s4_1_2">
<label>4.1.2</label>
<title>Regulation of T cell differentiation</title>
<p>Optimizing T cell activation signals, enhancing their differentiation status, and regulating their resistance to exhaustion are key research directions in the future. Dual costimulation (4-1BB/ICOS) amplifies the persistence of CD8+ T cells through the interaction of NF-&#x3ba;B/NFATc1 (<xref ref-type="bibr" rid="B30">30</xref>), significantly enhancing the efficacy of adoptive cell therapy and helping to prolong the disease-free survival of patients and reduce the risk of recurrence (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>The regulation of T-cell differentiation and an increase in the proportion of memory T-cells can enhance T-cell persistence. Tcf1 + PD-1 + T cells exhibit characteristics similar to those of stem cells (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B31">31</xref>). By self-renewal, they continuously produce Tcf1&#x2212; cells to participate in the killing of tumor cells, thereby supporting a long-term anti-tumor response. The regulation of the NR4A family receptors (NR4A1, NR4A2, NR4A3) can effectively enhance T cell activation and persistence by regulating the early activation state and promoting the differentiation of memory T cells (<xref ref-type="bibr" rid="B32">32</xref>). Moreover, epigenetic regulation via the inhibition of BCL-6 and BLIMP-1, key regulators of T follicular helper cells, can prolong the survival of CAR T cells (<xref ref-type="bibr" rid="B33">33</xref>). CD4 + CAR T cells not only show strong cytotoxic activity but also show less sensitivity to activation-induced cell death and express fewer inhibitory immune checkpoint receptors than CD8 + CAR T cells, resulting in greater persistence and antitumor activity (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). This finding may enhance therapeutic effects by regulating the differentiation of CD4 + T cells. Furthermore, regulation of T cell polarization, particularly toward Th2 or Th9 cells, can significantly enhance CAR T cell efficacy. Th9-polarized CAR-T cells show superior efficacy in preclinical models (<xref ref-type="bibr" rid="B36">36</xref>). Cord blood-derived hematopoietic stem cells (HSCs) allow large-scale expansion of precursor T cells prior to terminal differentiation (<xref ref-type="bibr" rid="B33">33</xref>)preserving proliferative capacity and functionality during manufacturing, Together, these strategies highlight the potential of differentiation and polarization control to improve the durability of T cells therapy.</p>
<p>Although these strategies expand the design space for CAR-T optimization and show promise in enhancing persistence and functionality, dual costimulation may increase the risks of cytokine release and neurotoxicity (<xref ref-type="bibr" rid="B37">37</xref>); lineage skewing (such as Th2/Tfh bias) or unstable Th9 phenotypes limit reproducibility (<xref ref-type="bibr" rid="B38">38</xref>); transcriptional or epigenetic modulation introduces risks of off-target effects and autoimmunity; and large-scale production of hematopoietic stem cell&#x2013;derived products remains constrained by manufacturing and regulatory hurdles. At present, control of differentiation represents the most translationally promising avenue. Future research should focus more on rational costimulatory design and the enrichment of stem cell&#x2013;like T cells, in order to balance persistence with effector potency and ultimately achieve safer, more predictable, and durable clinical outcomes.</p>
</sec>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Aging and improvement strategies</title>
<sec id="s4_2_1">
<label>4.2.1</label>
<title>Improve culture conditions</title>
<p>Aging leads to enhanced immunosuppression in the tissue microenvironment and impairs T cell function. CAR-T cells in this environment are more likely to exhibit senescent phenotypes, thereby reducing their anti-tumor efficacy.</p>
<p>Optimizing the culture conditions for CAR-T cells can help mitigate this issue. IL-7 and IL-15 can direct T cells toward a memory stem cell-like phenotype, improve their expansion and viability, delay terminal differentiation, and enhance antitumor efficacy (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>). Prolonged or high-dose IL-2 administration leads to T cell over-differentiation, whereas short-term or low-dose administration can generate early memory T cells (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Therefore, it can be seen that properly regulating the combination and concentration of cytokines is the core strategy for enhancing the function of CAR-T cells. Aging causes a decline in thymic function and T-cell generation. Supplementation with young thymic epithelial cells, gene therapy (such as the FOXN1 gene), and cytokines such as IL-7 can help restore thymic function (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>This strategy is most immediately translatable, but dosing precision is critical. High-dose IL-2 toxicity and IL-7/IL-15 is activated abnormally in the immune system or works in synergy with other pro-inflammatory cytokines, it may be involved in the worrying pathological process of cytokine storm. Standardizing cytokine regimens across donors for GMP manufacturing is a priority.</p>
</sec>
<sec id="s4_2_2">
<label>4.2.2</label>
<title>Extended telomere length</title>
<p>Telomere transfer technology slows T-cell aging by extending telomere length, thereby enhancing immune function. Telomere transfer from APC-derived vesicles to T cells, triggered by ionomycin-mediated calcium signaling, delays senescence and enhances immune activity (<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>). This strategy may play a key role in the development of therapies to enhance immune function and extend the lifespan of T cells. Artificial telomere elongation has been linked to risks of tumorigenesis and genomic instability (<xref ref-type="bibr" rid="B48">48</xref>). Ionomycin, although widely used as a calcium ionophore, exhibits broad cytotoxicity and poor dose controllability. In addition, the specificity and reproducibility of telomere transfer techniques remain under debate, and regulatory hurdles for clinical translation add further complexity.</p>
</sec>
<sec id="s4_2_3">
<label>4.2.3</label>
<title>Reprogramming and gene editing techniques</title>
<p>T-cell reprogramming and gene editing techniques hold promise for delaying T-cell aging and enhancing antitumor immune functions. Redifferentiating T-induced pluripotent stem cells (T-IPSCs) into na&#xef;ve, cytotoxic, or dedifferentiated T cells can help delay T cell depletion and aging (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). CLASH, a novel CRISPR system used to create CAR T cells with enhanced memory and stem cell properties by targeting genes such as PRDM1 to extend their longevity (<xref ref-type="bibr" rid="B52">52</xref>). I find these strategies compelling, yet their long-term efficacy and safety remain open questions. Similarly, blocking inhibitory receptors such as ILT4 shows preclinical potential to rejuvenate T cells and reprogram tumor metabolism (<xref ref-type="bibr" rid="B53">53</xref>), but translating these results to patients will likely face biological and regulatory hurdles.</p>
</sec>
<sec id="s4_2_4">
<label>4.2.4</label>
<title>Regulate of signaling pathways</title>
<p>Regulation of signaling pathways and use of anti-aging drugs can help mitigate T cell aging. Modulating the Wnt/&#x3b2;-catenin and mTOR pathways has been shown to reverse T cell aging, particularly in memory T cells. And <italic>in vivo</italic> administration of small-molecule Wnt agonists may help achieve sustained effects (<xref ref-type="bibr" rid="B54">54</xref>). Drugs such as rapamycin and quercetin can restore CAR T-cell function and extend their persistence and antitumor activity by inhibiting mTOR signaling or clearing senescent cells (<xref ref-type="bibr" rid="B55">55</xref>). This is attractive due to oral drug accessibility, but systemic Wnt activation risks oncogenesis (<xref ref-type="bibr" rid="B56">56</xref>), and rapamycin causes immune suppression and metabolic toxicity (<xref ref-type="bibr" rid="B57">57</xref>). We advocate for short-term, perimanufacturing exposure rather than long-term systemic therapy, coupled with biomarker monitoring.</p>
</sec>
<sec id="s4_2_5">
<label>4.2.5</label>
<title>Physical removal of senescent T-cells</title>
<p>Physical removal of senescent T cells can restore function and promote the expansion of memory and effector subsets. Engineered peptides can disrupt the binding of FOXO 4 and p53 to induce apoptosis in senescent cells (<xref ref-type="bibr" rid="B58">58</xref>). UPAR-specific CAR T cells efficiently eliminate senescent cells by targeting the surface receptor uPAR and prolonging survival in mouse models (<xref ref-type="bibr" rid="B59">59</xref>). These approaches highlight the potential of selectively clearing senescent T cells to enhance immunotherapy. However, concerns remain regarding off-target effects, durability of responses, and safety of translating senolytic strategies into humans, underscoring the need for careful evaluation before clinical application.</p>
</sec>
<sec id="s4_2_6">
<label>4.2.6</label>
<title>Supplement with functional T cells</title>
<p>Autologous stem cell transplantation (ASCT) can restore na&#xef;ve, memory, and effector T-cell function, with notable success in autoimmune diseases and hematological malignancies (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>). Early clinical trials (NCT00133367) shows that umbilical cord blood&#x2013;derived HSCs, and young stem cells more broadly, may help regenerate a youthful immune system and mitigate T-cell aging (<xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). However, such strategies face major limitations, including conditioning regimen toxicity, graft availability, risk of graft-versus-host disease, and uncertain long-term rejuvenation effects. Careful patient selection and integration with safer rejuvenation approaches will be critical for translation.</p>
</sec>
<sec id="s4_2_7">
<label>4.2.7</label>
<title>To restore and maintain of thymic environment</title>
<p>Restoring and maintaining the thymic environment can reverse the effects of thymic involution, thereby promoting the production of new T-cells. Bioengineered thymic organoids incorporating cytokines such as IL-21 have been shown to enhance T-cell output in aged mice (<xref ref-type="bibr" rid="B67">67</xref>). Whether bioengineered thymic organoids, when combined with other cytokines or immunomodulators, can support T cell maturation and adaptability remains to be investigated. The intrathymic injection of allogeneic hematopoietic cells successfully restores functional T cell development after thymic reconstitution in a mouse model of severe combined immunodeficiency (<xref ref-type="bibr" rid="B68">68</xref>). However, thymic organoids still face challenges in restoring T cell function, including establishing immune tolerance, replicating complex thymic stroma, supporting thymic epithelial cells and optimizing T cell maturation (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>). While promising for immune rejuvenation in the elderly or immunocompromised, their clinical utility will ultimately depend on overcoming these barriers and demonstrating durable, safe T-cell reconstitution.</p>
</sec>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Regulation of T cell metabolism</title>
<sec id="s4_3_1">
<label>4.3.1</label>
<title>Glycolysis of effector cells</title>
<p>Effector T cells rely on glycolysis for rapid cytokine production and cytotoxicity. In the tumor microenvironment (TME), glucose competition with tumor cells impairs T cell energy supply. For instance, increased GLUT1 expression promotes glucose uptake, thereby enhancing T cell function (<xref ref-type="bibr" rid="B71">71</xref>). PQDN enhances the antitumor capacity of CD8+ T cells by activating the mitochondrial electron transport chain and promoting glucose uptake and glycolysis (<xref ref-type="bibr" rid="B72">72</xref>). While glycolytic enhancement can restore immediate function, excessive reliance accelerates exhaustion, promotes lactate accumulation, and risks metabolic toxicity. This approach is better positioned as a short-term, manufacturing-phase intervention rather than systemic therapy.</p>
</sec>
<sec id="s4_3_2">
<label>4.3.2</label>
<title>Glycolysis and memory cells</title>
<p>Although glycolysis is crucial for effector T cell function, excessively high levels can hinder the long-term survival and differentiation of memory T cells (<xref ref-type="bibr" rid="B73">73</xref>). Restricting glycolysis using the HK2 inhibitor 2-deoxyglucose (2-DG) promoted the formation of memory CD8+ T cells and enhanced their antitumor capacity (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>). Metformin shifts metabolism toward fatty acid oxidation (FAO) through AMPK activation, enhancing long-term survival and antitumor capacity (<xref ref-type="bibr" rid="B75">75</xref>). Proper regulation of the balance between glycolysis and other metabolic pathways is crucial for optimizing CD8+ T cell function. Yet systemic drugs like 2-DG and metformin carry risks of hypoglycemia, lactic acidosis, and variable efficacy in patients with metabolic comorbidities. Their use should focus on ex vivo programming rather than chronic <italic>in vivo</italic> exposure.</p>
</sec>
<sec id="s4_3_3">
<label>4.3.3</label>
<title>Glycolysis and CD8 + T cells</title>
<p>In TME and autoimmune settings, glycolytic suppression drives CD8<sup>+</sup> T cell dysfunction (<xref ref-type="bibr" rid="B76">76</xref>). The combination of anti-PD-1 therapy, and glycolysis-promoting drugs can partially restore CD8+ T-cell function (<xref ref-type="bibr" rid="B77">77</xref>). Anti-PD-1 enhances glycolysis by inhibiting pyruvate entry into fatty acid oxidation, promoting oxidative phosphorylation (OXPHOS) and energy production, and further increasing glycolysis via the PI3K-mTOR pathway through the AGK kinase. Additionally, regulating mitochondrial function or neutralizing reactive oxygen species (ROS) can significantly improve CD8+ T-cell metabolism and enhance antitumor capacity (<xref ref-type="bibr" rid="B78">78</xref>). This dual strategy is compelling but risky&#x2014;checkpoint blockade already predisposes to immune-related adverse events, and additional metabolic activation could exacerbate toxicity or benefit tumor metabolism. Precise timing, dosing, and biomarker-guided monitoring are critical.</p>
</sec>
<sec id="s4_3_4">
<label>4.3.4</label>
<title>Fatty acid metabolism and oxidative phosphorylation</title>
<p>Quiescent T cells depend on OXPHOS, whereas activated T cells integrate glycolysis with OXPHOS (<xref ref-type="bibr" rid="B79">79</xref>). Upon T-cell activation, mitochondrial fragmentation reduces OXPHOS (<xref ref-type="bibr" rid="B80">80</xref>). AMPK activators (e.g., metformin) or mTOR inhibitors (e.g., rapamycin) stimulate FAO, promoting the generation of memory CD8+ T cells (<xref ref-type="bibr" rid="B79">79</xref>), thereby extending their longevity and enhancing immunological memory. Studies have shown that PGC1&#x3b1; and PPAR agonists (e.g., bezafibrate and fenofibrate) can enhance FAO, boosting the antitumor function of memory T cells (<xref ref-type="bibr" rid="B81">81</xref>&#x2013;<xref ref-type="bibr" rid="B84">84</xref>). In adoptive cell therapy, metabolic interventions through <italic>in vitro</italic> reprogramming can enhance the long-term survival and anti-cancer capacity of T cells. Targeting FAO and OXPHOS holds promise for durable antitumor immunity, yet systemic administration of metabolic modulators faces significant tolerability constraints. Rapalogs and fibrates should therefore be regarded as tools for short-term, reversible metabolic programming during ex vivo expansion or transient <italic>in vivo</italic> windows, rather than maintenance drugs, in order to achieve a balance between long-term persistence and immediate cytotoxic activity.</p>
</sec>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Regulation of the tumor microenvironment</title>
<p>The tumor microenvironment (TME) is a complex network of tumor, stromal, and immune cells together with soluble factors that shape antitumor immunity. In this setting, T cells are suppressed by checkpoint signals (e.g., PD-1/PD-L1), regulatory and myeloid cells (Tregs, MDSCs, TAMs), and metabolic or vascular barriers, leading to immune evasion. Understanding these layers of regulation is key to developing strategies that reprogram the TME and restore T-cell activity.</p>
<sec id="s4_4_1">
<label>4.4.1</label>
<title>Immune checkpoint Inhibitors</title>
<p>PD-1 binds to PD-L1 to suppress T-cell activity, while IFN-&#x3b3; and TNF-&#x3b1; in the tumor microenvironment increase PD-L1 expression, aiding tumor immune escape. Immune checkpoint inhibitors, including PD-1 and PD-L1 inhibitors, can block the interaction between PD-1 and PD-L1, restore T cell activity, and enable them to recognize and attack tumor cells (<xref ref-type="bibr" rid="B85">85</xref>). Combining immune checkpoint inhibitors with anti-inflammatory drugs or other targeted therapies, such as chemotherapy or radiotherapy, can enhance the efficacy of immunotherapy (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>The application of immune checkpoint inhibitors (ICIs) has advanced cancer immunotherapy, yet their efficacy and safety remain constrained. Some patients develop immune-related adverse events, including colitis, pneumonitis, and myocarditis. Others exhibit primary or acquired resistance, which arises from intrinsic tumor characteristics and adaptive changes within the tumor microenvironment, ultimately leading to the establishment of an immunosuppressive TME (<xref ref-type="bibr" rid="B88">88</xref>). Although combinations with chemotherapy, radiotherapy, or anti-inflammatory agents may enhance therapeutic efficacy, additive toxicities hinder clinical optimization. Future strategies must therefore achieve a more refined balance between efficacy and safety, rather than relying on a single immunological pathway.</p>
</sec>
<sec id="s4_4_2">
<label>4.4.2</label>
<title>Immunosuppressive of cells</title>
<p>Regulation of the function of immunosuppressive cells can effectively enhance the antitumor activity of T cells, thereby improving the overall efficacy of immunotherapy.</p>
<p>In the tumor microenvironment, regulatory T cells (Tregs) suppress the activity of effector T cells via multiple mechanisms. Early clinical trials (NCT00888927) shows that pharmacological approaches such as PI3K&#x3b4;inhibitors, anti-CTLA-4 antibodies, CCR4 antagonists, and metabolic targeting (e.g., CD36 inhibition) can reduce Treg numbers or function, thereby enhancing effector T cell responses (<xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>). Other metabolic pathways such as fatty acid oxidation, glycolysis, and amino acid metabolism are also potential targets for regulating Tregs and improving the efficacy of immunotherapy.</p>
<p>Although these strategies may indirectly restore antitumor immune responses, systemic depletion of Tregs can disrupt immune tolerance and trigger severe autoimmune reactions (<xref ref-type="bibr" rid="B92">92</xref>). Therefore, future studies should prioritize the selective targeting of tumor-infiltrating Tregs and the development of delivery systems that minimize systemic toxicity without compromising self-tolerance.</p>
<p>Myeloid-derived suppressor cells (MDSCs) are immunosuppressive myeloid cells that proliferate widely in cancerous and chronic inflammatory environments.</p>
<p>Chemotherapy drugs such as gemcitabine and 5-fluorouracil have been shown to reduce the number of MDSCs (<xref ref-type="bibr" rid="B93">93</xref>). Targeted small-molecule drugs like SRA737 (a CHK1 inhibitor) combined with low-dose gemcitabine significantly reduce MDSC numbers, while boosting the expression of IFN&#x3b2; and chemokines CCL5 and CXCL10, enhancing T cell antitumor responses (<xref ref-type="bibr" rid="B94">94</xref>).</p>
<p>MDSCs accumulate in the tumor microenvironment via chemokines, thereby hindering T cell function. Blocking CXCR1/2 (e.g., with SX-682) can reduce MDSC migration in head and neck cancer mouse models, thereby enhancing the effectiveness of NK cell immunotherapy and anti-PD-1 treatment (<xref ref-type="bibr" rid="B95">95</xref>&#x2013;<xref ref-type="bibr" rid="B97">97</xref>).</p>
<p>Reducing the immunosuppressive activity of MDSCs can restore T-cell function and delay tumor progression. This can be achieved by inhibiting key signaling pathways such as JAK/STAT or NF-&#x3ba;B, or by targeting the secretion of suppressive molecules (<xref ref-type="bibr" rid="B94">94</xref>). PDE5 inhibitors such as sildenafil, tadalafil, and vardenafil have been shown to weaken MDSC function by reducing the secretion of inhibitory molecules (<xref ref-type="bibr" rid="B98">98</xref>, <xref ref-type="bibr" rid="B99">99</xref>). STAT3 inhibitors, such as JSI-124 can further reduce MDSC activity (<xref ref-type="bibr" rid="B100">100</xref>). Reducing MDSC activity can help restore T-cell function and enhance the antitumor immune response.</p>
<p>Current strategies targeting MDSCs primarily involve reducing their numbers, blocking their recruitment, and inhibiting their immunosuppressive functions, thereby restoring T cell activity and enhancing antitumor immunity. However, these agents often lack specificity and may simultaneously affect normal myeloid cells, leading to bone marrow suppression and increased risk of infection (<xref ref-type="bibr" rid="B101">101</xref>). Moreover, the high degree of heterogeneity of MDSCs across different tumor types and patients, coupled with the absence of standardized biomarkers for their identification, has significantly limited the clinical translation of these approaches.</p>
<p>M2-type tumor-associated macrophages (TAMs) suppress T-cell function and promote tumor progression, making their reprogramming into M1-type macrophages an attractive therapeutic approach. Agents such as TLR agonists (3M-052, CpG ODN), anti-CD40 antibodies, and low-dose metformin can induce M1 polarization, enhance macrophage and T-cell antitumor activity, and increase T-cell infiltration into the tumor microenvironment (<xref ref-type="bibr" rid="B102">102</xref>&#x2013;<xref ref-type="bibr" rid="B105">105</xref>).</p>
<p>Targeting TAMs with small-molecule inhibitors or nanotechnology can effectively inhibit their tumor-promoting functions and enhance the efficacy of therapies, such as immune checkpoint inhibitors.</p>
<p>This indicates that reprogramming TAMs not only directly enhances T cell function but also significantly improves the tumor microenvironment, offering synergistic benefits for immunotherapy. However, the inherent plasticity of tumor-associated macrophages (TAMs) often renders these effects transient, and the systemic administration of Toll-like receptor (TLR) agonists may trigger a cytokine storm (<xref ref-type="bibr" rid="B106">106</xref>). Recently, antibody-mediated and nanomedicine-based strategies have been explored to improve TAM targeting, yet issues such as delivery efficiency, off-target uptake, and long-term safety remain unresolved (<xref ref-type="bibr" rid="B107">107</xref>). Although TAM reprogramming is conceptually sound, it must be refined through targeted delivery systems and combinatorial therapies to achieve durable clinical benefits.</p>
<p>Future directions may also involve the integration of nanotechnology or biomaterial-based delivery systems to precisely modulate the TME, thereby enhancing therapeutic specificity and durability.</p>
</sec>
</sec>
<sec id="s4_5">
<label>4.5</label>
<title>Regulation of depletion strategies</title>
<sec id="s4_5_1">
<label>4.5.1</label>
<title>PD1 maintains an exhausted state</title>
<p>PD1 plays a critical role in maintaining an exhausted state. By using PD1 or PD-L1 inhibitors, exhausted T cells can regain some of their functions (<xref ref-type="bibr" rid="B8">8</xref>), particularly their proliferative capacity and cytotoxicity. Importantly, such blockade preferentially activates progenitor-like exhausted T cells, which display superior proliferative and functional recovery compared to terminally differentiated exhausted subsets (<xref ref-type="bibr" rid="B108">108</xref>&#x2013;<xref ref-type="bibr" rid="B110">110</xref>). In contrast, terminally differentiated exhausted T cells respond less to PD1 blockade but retain significant cytotoxic potential (<xref ref-type="bibr" rid="B108">108</xref>&#x2013;<xref ref-type="bibr" rid="B110">110</xref>). These findings highlight that PD1 inhibition does not fully reverse exhaustion but can augment effector capacity within specific subsets. Sustained use of PD-1 blocking agents has the potential to exacerbate autoimmune responses and destabilize immune homeostasis, emphasizing the necessity of carefully balancing immune reactivation and safety considerations.</p>
</sec>
<sec id="s4_5_2">
<label>4.5.2</label>
<title>Epigenetic regulation reverses T-cell exhaustion</title>
<p>Epigenetic regulation is a promising strategy for reversing T cell exhaustion, enhancing T cell function, and boosting the efficacy of immunotherapy. DNMT3A-driven <italic>de novo</italic> DNA methylation promotes dysfunction in CD8+ T cells, while treatment with DNA methyltransferase inhibitors such as 5-aza-2-deoxycytidine restores function when combined with PD1 blockade (<xref ref-type="bibr" rid="B111">111</xref>). Deleting the DNA demethylase TET2 significantly extends the lifespan of CAR-T cells and enhances their tumor-killing capacity (<xref ref-type="bibr" rid="B112">112</xref>). TET2 deletion prevents T cell exhaustion and promotes T cell memory formation. Early clinical trials (NCT01029366) shows that CRISPR-Cas9&#x2013;mediated CD5 knockdown enhances cytotoxicity, proliferation, and survival, effects associated with increased Ras/ERK and PI3K/AKT/mTOR signaling and reduced exhaustion markers (<xref ref-type="bibr" rid="B113">113</xref>).</p>
<p>Currently, early clinical trials (NCT03179943) are evaluating the use of epigenetic drugs such as DNA methyltransferase inhibitors and histone deacetylase inhibitors (<xref ref-type="bibr" rid="B114">114</xref>) in combination with immune checkpoint blockers, aiming to enhance the durability of the treatment. However, the systemic nature of epigenetic therapies has raised concerns about non-targeted effects, hematotoxicity, and unexpected immune activation (<xref ref-type="bibr" rid="B115">115</xref>). Moreover, the optimal timing of use, dosage, and patient selection criteria have not yet been determined. Therefore, careful clinical design is still needed to maximize the benefits of epigenetic regulation and minimize long-term risks.</p>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presents details on preclinical research and clinical.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Problem-oriented strategy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Optimization methods</th>
<th valign="middle" align="center">Disease type</th>
<th valign="middle" align="center">Research year</th>
<th valign="middle" align="center">Mechanism</th>
<th valign="middle" align="center">Specific benefits</th>
<th valign="middle" align="center">Research method</th>
<th valign="middle" align="center">Refs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">MAPK inhibitors</td>
<td valign="middle" align="left">Melanoma</td>
<td valign="middle" align="left">2024</td>
<td valign="middle" align="left">i. Increases MR1 expression. ii. Activate CD8+ T cells.</td>
<td valign="middle" align="left">Enhance the activity of CD8+ T cells and promote tumor infiltration.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B26">26</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Synthetic APC-mimetic scaffolds</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">i. Control T-cell activation. ii. Present ligands for T-cell receptors and co-stimulation.</td>
<td valign="middle" align="left">Enhance T-cell expansion, prevent depletion, and maintain proliferation.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B27">27</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">CAR with 4-1BB and ICOS</td>
<td valign="middle" align="left">Multiple cancer types</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">i. Combine 4-1BB ICD with ICOS costimulation.</td>
<td valign="middle" align="left">Improved persistence and antitumor activity of CAR T-cells.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Regulation of Tcf1+PD-1+ T cells</td>
<td valign="middle" align="left">Melanoma</td>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">i. Propertie to sustain immune response.</td>
<td valign="middle" align="left">Improved immune response, tumor control, and T-cell persistence in immunotherap.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Modulation of NR4A expression</td>
<td valign="middle" align="left">Infections and cancer</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">i. Regulate T cell differentiation, activation, and persistence by controlling early activation and memory T cell differentiation.</td>
<td valign="middle" align="left">Improved T cell activation, enhanced differentiation into memory T cells, and better immune responses in infections and cancer.</td>
<td valign="middle" align="left">Review</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Th9 polarization techniques</td>
<td valign="middle" align="left">Leukemia and Liver cancer</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">i. IL-4, TGF-&#x3b2;, anti-IFN-&#x3b3; antibody, and IL-2 polarize human T cells into Th9 subtype.</td>
<td valign="middle" align="left">Enhance antitumor activity, strengthen immune response.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Cord blood stem cells</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">2023</td>
<td valign="middle" align="left">i. Avoids the need to suppress the endogenous T cell receptor. ii. Avoids terminal differentiation.</td>
<td valign="middle" align="left">Prevent terminal differentiation, maintain T cell functionality.</td>
<td valign="middle" align="left">Review</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">IL-7 and IL-15</td>
<td valign="middle" align="left">Leukemia</td>
<td valign="middle" align="left">2013</td>
<td valign="middle" align="left">i. Drive the generation and expansion of TSCM.</td>
<td valign="middle" align="left">The strategy enhances the persistence and self-renewal of TSCM cells and improves the longevity and efficacy of T cells in patients, particularly in those with acute leukemia.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Short-term/low-dose IL-2</td>
<td valign="middle" align="left">Leukemia</td>
<td valign="middle" align="left">2017</td>
<td valign="middle" align="left">i. Drive the activation and expansion of T cells. ii. Promote memory T-cell differentiation. iii. Minimize the negative effects of high-dose IL-2, such as immune suppression.</td>
<td valign="middle" align="left">Generate early memory T cells, prolong persistence.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Telomere transfer technology</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">i. Prevent T-cell senescence. ii. Enhances their ability to generate long-term immunological memory.</td>
<td valign="middle" align="left">Prevent T cell aging, extend functional lifespan.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B45">45</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">CLASH CRISPR system</td>
<td valign="middle" align="left">Cancer</td>
<td valign="middle" align="left">2024</td>
<td valign="middle" align="left">i. Harness the Cas12a/Cpf1 system for gene editing. ii. Edit PRDM1 in CAR-T cells.</td>
<td valign="middle" align="left">This system promotes increased T-cell proliferation, stem-like properties, central memory, and T-cell longevity.</td>
<td valign="middle" align="left">Review</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Blocking ILT4</td>
<td valign="middle" align="left">Lung cancer, melanoma, prostate cancer and breast cancer</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">i. Prevent the interaction between ILT4 receptors and their ligands.</td>
<td valign="middle" align="left">Reduce T cell aging, enhance antitumor immune response.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Activating Wnt/&#x3b2;-catenin pathway</td>
<td valign="middle" align="left">Melanoma, lung cancer and prostate cancer</td>
<td valign="middle" align="left">2009</td>
<td valign="middle" align="left">i. Regulate genes involved in memory T-cell formation. ii. Stabilize &#x3b2;-catenin levels.</td>
<td valign="middle" align="left">Maintain long-term T cell memory, improve survival.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B54">54</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Inhibiting mTOR pathway</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">i. Reprogram cellular metabolism. ii. Allow T cells to function better even in elderly individuals.</td>
<td valign="middle" align="left">The inhibition of the mTOR pathway was evaluated by measuring the immune response to influenza vaccination, with a particular focus on T cell activation and proliferation.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">ASCT</td>
<td valign="middle" align="left">Autoimmune diseases</td>
<td valign="middle" align="left">2016</td>
<td valign="middle" align="left">i. Renew the Treg pool. ii. Modulate T effector cells. iii. Improve immune tolerance.</td>
<td valign="middle" align="left">Restore immune function, enhance antitumor activity.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Cord blood stem cells</td>
<td valign="middle" align="left">Immune deficiency or autoimmune conditions</td>
<td valign="middle" align="left">2014</td>
<td valign="middle" align="left">i. Promote the generation of naive T cells in the thymus. ii. Enhance T cell diversity and function.</td>
<td valign="middle" align="left">Generate young, functional T cells, prevent premature aging.</td>
<td valign="middle" align="left">Clinical trial(NCT00133367)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Boosting GLUT1 expression</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">2019</td>
<td valign="middle" align="left">i. Increase glucose uptake to support T cell metabolism and activation.</td>
<td valign="middle" align="left">Increase energy uptake in T cells, boost antitumor capacity.</td>
<td valign="middle" align="left">Review</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B71">71</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Using PQDN to activate the mitochondrial electron transport chain</td>
<td valign="middle" align="left">Low immunogenic tumors</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">i. Augment TCR-mediated recognition of tumor antigens.</td>
<td valign="middle" align="left">Provide rapid energy, enhance anti-infection and antitumor capacity.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Activating AMPK</td>
<td valign="middle" align="left">Viral Infections</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">i. Promote memory T cell differentiation.</td>
<td valign="middle" align="left">Modulate the balance of effector vs. memory precursor effector cells.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Reprogramming mitochondria</td>
<td valign="middle" align="left">Colon carcinoma and fibrosarcoma</td>
<td valign="middle" align="left">2018</td>
<td valign="middle" align="left">i. Enhance mitochondrial function, OXPHOS, and FAO to support CD8+ T cell function in tumors.</td>
<td valign="middle" align="left">Improve cellular metabolic efficiency and optimize immune response.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B81">81</xref>&#x2013;<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PD-1/PD-L1 inhibitors</td>
<td valign="middle" align="left">Osteoarthritis</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">i. Activate JAK/STAT signaling and transcription factors. ii. Alter chromatin structure and PD-1 gene transcription.</td>
<td valign="middle" align="left">Restore function of T cells, improves T cell activation or suppresses exhaustion depending on the cytokine milieu in TME.</td>
<td valign="middle" align="left">Review</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Combination with anti-inflammatory drugs</td>
<td valign="middle" align="left">Melanoma, Lung Cancer and other solid tumors</td>
<td valign="middle" align="left">2017</td>
<td valign="middle" align="left">i. Enhance the efficacy of anti-PD-1 therapy.</td>
<td valign="middle" align="left">Enhance TIL survival. Improve T cell infiltration and anti-tumor immunity. Reduce PD-L1 and TIM-3 expression in tumor microenvironment.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Targeting Tregs</td>
<td valign="middle" align="left">Cutaneous T-cell lymphoma</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">i. Target CCR4 on Tregs and malignant T cells, reducing Treg numbers.</td>
<td valign="middle" align="left">Reduce Treg-mediated suppression.</td>
<td valign="middle" align="left">Clinical trial(NCT00888927)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B89">89</xref>&#x2013;<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Inhibiting the migration of MDSCs</td>
<td valign="middle" align="left">Pediatric rhabdomyosarcoma</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">i. Inhibite CXCR2 to reduce MDSC migration.</td>
<td valign="middle" align="left">Decrease immune suppression, restore T cell function and enhance anti-PD1 response.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B93">93</xref>&#x2013;<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">PDE5</td>
<td valign="middle" align="left">Colon, breast, melanoma and HCC</td>
<td valign="middle" align="left">2006</td>
<td valign="middle" align="left">i. PDE5 inhibitors target MDSC activity by inhibiting their immunosuppressive molecules.</td>
<td valign="middle" align="left">Increase T-cell infiltration, activation and proliferation. Reduce tumor growth.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B93">93</xref>&#x2013;<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Reprogramming M2-TAMs to M1 phenotype</td>
<td valign="middle" align="left">Pancreatic cancer and other solid tumors</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">i. CD40 agonists activate macrophages. ii. The upregulation of CCL5 promotes the infiltration of CD4+ T cells into the tumor.</td>
<td valign="middle" align="left">Enhance T cell-mediated anti-tumor immunity. Increase tumor infiltration by CD4+ T cells.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">Inhibiting DNMT3A</td>
<td valign="middle" align="left">Colorectal cancer, ovarian cancer and melanoma</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">i. Reverse T cell exhaustion and restore T cell function. ii. Remove the state of DNA hypermethylation.</td>
<td valign="middle" align="left">Reverse T cell exhaustion, increase cytokine production, improve T cell survival, and enhance anti-tumor immunity.</td>
<td valign="middle" align="left">Experimental Research</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B111">111</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">TET2 gene knockout</td>
<td valign="middle" align="left">CLL</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">i. Promote an epigenetic reprogramming that favors a central memory T-cell phenotype.</td>
<td valign="middle" align="left">Improve CAR T-cell proliferation, memory phenotype, persistence, and enhance tumor-killing capability.</td>
<td valign="middle" align="left">Clinical trial</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B112">112</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">CD5 knockout</td>
<td valign="middle" align="left">ALL and other solid tumors</td>
<td valign="middle" align="left">2024</td>
<td valign="middle" align="left">i. Increase the activation of signaling pathways critical for T cell function(e.g., Ras/ERK and PI3K/AKT/mTOR) while reducing T cell exhaustion markers.</td>
<td valign="middle" align="left">Enhance T cell proliferation and survival. Reduce exhaustion.</td>
<td valign="middle" align="left">Experimental Research and clinical trial(NCT01029366)</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B113">113</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4_6">
<label>4.6</label>
<title>Aging, metabolic dysregulation, and TME-mediated immunosuppression: interconnected barriers to T Cell Function</title>
<p>T cell function in cancer is limited by a convergence of aging, metabolic dysregulation, and tumor microenvironment (TME)-mediated immunosuppression. Aging is associated with immunosenescence, marked by diminished T cell proliferation, reduced memory formation, and impaired metabolic flexibility. Upon activation, T cells undergo profound metabolic remodeling: effector T cells rely on aerobic glycolysis to fuel proliferation and cytotoxicity, while memory T cells depend on fatty acid oxidation (FAO) and oxidative phosphorylation for long-term persistence. Dysregulation of these metabolic pathways&#x2014;exacerbated by tumor-driven nutrient depletion, lactate accumulation, and inhibitory signaling (e.g., PD-1/PD-L1)&#x2014;compromises T-cell survival and effector function. Simultaneously, the TME reinforces suppression through physical and cellular barriers: dense stromal fibrosis limits infiltration in pancreatic and ovarian cancers, CAF-derived CXCL12 repels T cells in melanoma, and MDSCs in colorectal and lung cancers release arginase and reactive oxygen species that blunt T-cell activity. VEGF and abnormal vasculature further hinder T-cell trafficking.</p>
<p>Together, these age-related, metabolic, and TME-derived factors synergize to constrain antitumor immunity and diminish the efficacy of immunotherapy. Therefore, rational combinatorial strategies hold strong promise&#x2014;for example, pairing metabolic interventions (enhancing FAO in memory T cells, inhibiting tumor glycolysis) with TME-targeting therapies (anti-VEGF treatment, CAF inhibition), while considering the impact of immunosenescence. Such approaches may restore T-cell resilience and maximize the clinical benefit of cancer immunotherapy.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Recent breakthroughs in pharmacologically enhancing T cell function&#x2014;including small-molecule agonists, checkpoint-blocking biologics, and genetically engineered cellular therapies&#x2014;have redefined the landscape of tumor immunopharmacology. Despite these advances, critical hurdles persist, such as T cell metabolic collapse in hypoxic and nutrient-deprived tumor niches, antigen-driven terminal exhaustion, and immune-related adverse events linked to systemic immune activation. For solid tumors, the effects of T cell therapy remain limited because of the complexity of the tumor microenvironment. Emerging strategies&#x2014;ranging from precise genetic editing and metabolic reprogramming to targeting novel immunoregulatory pathways and engineering next-generation T cells&#x2014;are now providing concrete opportunities to overcome these barriers. Importantly, the field must prioritize translating these innovations into clinically actionable frameworks by systematically testing combination regimens, tailoring interventions to distinct immune phenotypes, and implementing real-time monitoring of T cell dynamics in patients. Future progress will also depend on integrating AI-driven drug discovery, single-cell multi-omics&#x2013;based patient stratification, and adaptive clinical trial designs. To accelerate this trajectory, stronger collaboration across immunology, bioengineering, computational biology, and clinical oncology will be essential, ultimately enabling the development of T cell therapeutics that are both context-specific and broadly applicable across diverse tumor immune landscapes.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>GL: Conceptualization, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. DL: Conceptualization, Project administration, Supervision, Writing &#x2013; review &amp; editing. XZ: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by the National Natural Science Foundation of China (No.82270183).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The figures are created with BioRender.com.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s10" 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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>2-DG, 2deoxyglucose; AML, Acute myeloid leukemia; AAV, Adeno-associated virus; APCs, Antigen-presenting cells; ASCT, Autologous stem cell transplantation; CAR, Chimeric antigen receptor; CLIP, Class II-associated invariant chain peptide; CTL, Cytotoxic T cells; DDR, DNA damage response; TEM, Effector memory T cells; TEF, Effector T cells; ER, Endoplasmic reticulum; ECM, Extracellular matrix; FAO, Fatty acid oxidation; HSCs, Hematopoietic stem cells; ICB, Immune checkpoint blockade; ILT4, Immunoglobulin-like transcript 4; IFN, &#x3b3; Interferon; MHC, Major histocompatibility complex; TMEM, Memory T cells; MDSCs, Myeloid-derived suppressor cells; OXPHOS, Oxidative phosphorylation; ROS, Reactive oxygen species; Tregs, Regulatory T cells; TCR, T-cell receptor; T-IPSCs, T-induced pluripotent stem cells; TME, Tumor microenvironment; CAFs, Tumor-associated fibroblasts; TAMs, Tumor-associated macrophages; VEGF, Vascular endothelial growth factor.</p>
</fn>
</fn-group>
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