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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.2025.1635111</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>The interaction between common genetic mutations in AML and the immune landscape: mechanisms and implications for immune response</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Xuege</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3078190/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Hanlu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Lijuan</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Liansheng</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, The Second Hospital and Clinical Medical School, Lanzhou University</institution>, <addr-line>Lanzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Gansu Provincial Hematology Clinical Medical Research Center (National Branch), The Second Hospital of Lanzhou University</institution>, <addr-line>Lanzhou</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Avishek Bhuniya, Wistar Institute, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Matteo Caforio, Bambino Ges&#xf9; Children&#x2019;s Hospital (IRCCS), Italy</p>
<p>Jasmin Straube, QIMR Berghofer Medical Research Institute, Australia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Lijuan Li, <email xlink:href="mailto:doctorjuan@sina.com">doctorjuan@sina.com</email>; Liansheng Zhang, <email xlink:href="mailto:doctorzhanglsh@sina.com">doctorzhanglsh@sina.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1635111</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Guo, Zhang, Wang, Li and Zhang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Guo, Zhang, Wang, Li and Zhang</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>Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy driven by diverse genetic mutations that shape tumor progression, immune evasion, and clinical outcomes. While molecular profiling has improved AML classification, the precise impact of specific mutations on immune cell infiltration and dysregulation remains insufficiently understood. This review examines the immunologic consequences of common AML mutations&#x2014;including <italic>FLT3-ITD</italic>, <italic>NPM1</italic>, <italic>DNMT3A</italic>, <italic>TP53</italic>, <italic>IDH1/2</italic>, and <italic>NRAS</italic>&#x2014;and their role in remodeling the immune microenvironment. We further explore the dynamic shifts in immune responses across different AML risk stratifications, emphasizing the balance between immune activation and suppression, which is influenced by specific genetic alterations. Additionally, we highlight the emerging potential of immunotherapies targeting neoepitopes derived from driver mutations, offering promising avenues to overcome immune escape and enhance anti-tumor immune responses. By integrating genetic mutations and immunologic insights, this review outlines a framework for developing more precise and effective immunotherapies for AML.</p>
</abstract>
<kwd-group>
<kwd>acute myeloid leukemia</kwd>
<kwd>gene mutation</kwd>
<kwd>immune microenvironment</kwd>
<kwd>risk stratification</kwd>
<kwd>immunotherapy</kwd>
<kwd>neoepitopes</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="119"/>
<page-count count="16"/>
<word-count count="8794"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Acute myeloid leukemia (AML) is a highly aggressive hematologic malignancy that accounts for approximately 80% of all acute leukemias in adults (<xref ref-type="bibr" rid="B1">1</xref>). The pathogenesis of AML is complex, involving a combination of genetic mutations, chromosomal abnormalities, and environmental factors, all of which lead to abnormal hematopoietic stem cell development. These aberrant cells proliferate uncontrollably, progressively replacing normal hematopoietic tissue and impairing the production of healthy blood cells. This disruption manifests clinically as anemia, bleeding, and increased susceptibility to infections (<xref ref-type="bibr" rid="B2">2</xref>). In 1976, the French-American-British (FAB) Cooperative Group, consisting of hematology experts from France, the United States, and the United Kingdom, first proposed diagnostic and classification criteria for AML (FAB classification), dividing AML into eight subtypes (M0 to M7). Accurate classification of leukemia is essential for selecting appropriate treatment strategies. However, the FAB classification, which is based primarily on the morphology, differentiation status, and chemical staining of bone marrow (BM) leukemia cells, has become increasingly insufficient to meet the demands of modern clinical diagnosis and treatments. In response, the World Health Organization incorporated molecular genetic, molecular biology, and immunological characteristics into the classification of AML for the first time in its 2001 &#x201c;Classification of Hematopoietic and Lymphoid Tumors&#x201d;. This revision aimed to provide a more biologically relevant classification system and was updated in 2008 and 2016 based on new research findings. Unlike the morphology-based FAB classification, the World Health Organization classification places greater emphasis on the role of genetic mutations and chromosomal abnormalities in AML classification, particularly in the context of prognosis and risk stratification (<xref ref-type="bibr" rid="B3">3</xref>). Today, the cytogenetic and molecular characteristics of AML are not only fundamental to accurate disease classification but also crucial for guiding clinical decision-making. Through the detection of specific genetic mutations and chromosomal abnormalities, clinicians can more precisely predict outcomes such as the complete remission (CR) rate, disease-free survival, relapse risk, and overall survival (OS), enabling the development of personalized treatment regimens tailored to individual patients (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>In the initiation and progression of AML, the tumor microenvironment (TME) is no longer a passive &#x201c;bystander&#x201d;. It functions both as an &#x201c;inhibitor&#x201d;, slowing leukemogenesis by impeding the proliferation of malignant cells, and as a potent &#x201c;catalyst&#x201d;, playing a critical role in sustaining and promoting leukemia development. The TME is a complex network composed of immune cells, cytokines, extracellular matrix components, and other immune-regulatory molecules, with its dynamic alterations directly influencing tumor progression and therapeutic responses (<xref ref-type="bibr" rid="B4">4</xref>). Recent studies have highlighted the crucial role of genetic mutations in AML in shaping and regulating the immune microenvironment. These mutations impact immune cell infiltration patterns and immune function via various pathways, exhibiting significant heterogeneity. For instance, mutations associated with favorable prognosis, such as <italic>NPM1</italic> mutations, are typically linked to immune activation and enhanced anti-tumor responses (<xref ref-type="bibr" rid="B5">5</xref>), while mutations associated with poor prognosis, such as <italic>TP53</italic> mutations, often lead to immune suppression or escape, impairing immune surveillance (<xref ref-type="bibr" rid="B6">6</xref>). Importantly, the AML immune microenvironment shows both immune activation and suppression at the same time. Immune cells may become dysfunctional in suppressive conditions, but can also be reactivated by signals from the tumor. This balance between immune response and escape reflects the complexity of AML and varies with different genetic mutations.</p>
<p>Although significant progress has been made in genetic research on AML, which has gradually been incorporated into risk stratification systems, a comprehensive understanding of how gene mutations influence immune cell infiltration, the expression of immune regulatory molecules, and immune evasion mechanisms remains lacking. This review aims to explore how common genetic mutations in AML shape the immune microenvironment through various mechanisms and how these alterations impact patient prognosis.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>AML tumor cell remodeling of the immune microenvironment</title>
<p>The immune system in AML patients exhibits significant heterogeneity and dysfunction, with both the innate and adaptive immune systems being suppressed and dysregulated. In the context of the innate immune system, AML patients show a marked reduction in the number of natural killer (NK) cells, particularly in the CD56dimCD16+ functional subset (<xref ref-type="bibr" rid="B7">7</xref>). The imbalance between immature and overmature NK cell subpopulations varies significantly among individuals (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), which may be linked to specific genetic mutations. Furthermore, tumor cells further impair NK cell function by downregulating the activating ligand HLA-E, secreting soluble ligands such as MICA/B (<xref ref-type="bibr" rid="B10">10</xref>), and upregulating inhibitory receptors like TIM-3, KIR, and CD159a (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). As the number of regulatory T cells (T<sub>regs</sub>) increases, NK cell dysfunction becomes more pronounced. Despite the widespread expression of ligands for the NK cell-activating receptor NKG2D on AML cells (<xref ref-type="bibr" rid="B12">12</xref>), NK cell responses to cytokine stimulation remain diminished, as evidenced by significantly reduced expression of granzyme B and IFN-&#x3b3; (<xref ref-type="bibr" rid="B13">13</xref>). Additionally, macrophages in AML patients undergo a phenotypic shift from the anti-tumor M1 type to the immunosuppressive M2 type. M2 macrophages further promote the immunosuppressive environment through the high expression of inhibitory receptors (<xref ref-type="bibr" rid="B14">14</xref>). Regarding dendritic cells (DCs), although the overall number of DCs is increased, the conventional dendritic cell type 1 (cDC1) subset is significantly reduced (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>), indicating dysfunction within this population.</p>
<p>There are significant individual differences in lymphocyte counts among AML patients. In some cases, the lymphocyte count is approximately five times higher than normal, while in others, it remains within the normal range (<xref ref-type="bibr" rid="B1">1</xref>). Furthermore, lymphocyte distribution shows heterogeneity, with a slightly lower proportion in the BM and a slight increase in the peripheral blood (PB), though there are no significant changes in relative proportions (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>). T cell function is significantly impaired in AML patients. In general, T cells exhibit reduced proliferative capacity (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>), increased apoptosis (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B22">22</xref>), diminished expression of costimulatory molecules (<xref ref-type="bibr" rid="B19">19</xref>), and upregulated expression of inhibitory receptors (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>) often with increased co-expression of these receptors (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). These changes lead to a decrease in the secretion of pro-inflammatory cytokines, such as IFN-&#x3b3;, TNF-&#x3b1;, and IL-2 (<xref ref-type="bibr" rid="B21">21</xref>), thus weakening the anti-tumor immune response. Although studies have shown that the number of CD8+ T cells in the BM is elevated (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B24">24</xref>), and that these cells are predominantly effector memory T cells (T<sub>em</sub>) (<xref ref-type="bibr" rid="B17">17</xref>), their functionality remains compromised. In the PB, there is an increase in the proportion of terminally differentiated effector cells, while the proportion of naive T cells (T<sub>n</sub>) decreases (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B28">28</xref>). However, in a study by Oscar Br&#xfc;ck, it was found that compared to healthy individuals, T cells in the BM of AML patients exhibit high expression of PD-1 and low expression of LAG-3 and TIM-3 (<xref ref-type="bibr" rid="B20">20</xref>). This suggests that the immunological characteristics of T cells in AML may be influenced by multiple factors. Additionally, T cells in the BM of AML patients show impaired immune synapse formation, with reduced F-actin polymerization and insufficient recruitment of signaling molecules (<xref ref-type="bibr" rid="B19">19</xref>). This may be related to the dysfunction of AML cells as antigen-presenting cells (<xref ref-type="bibr" rid="B18">18</xref>). Moreover, AML patients have reduced T helper 1 (Th1) cells and decreased IFN-&#x3b3; secretion (<xref ref-type="bibr" rid="B21">21</xref>), while T helper 17 (Th17) cells are increased and secrete IL-17, promoting AML cell proliferation and inhibiting Th1 differentiation (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>). There is also an increase in CD4+ T cells in the BM expressing PD-1+/OX40+, ICOS+ (<xref ref-type="bibr" rid="B26">26</xref>), and TIM-3+ (<xref ref-type="bibr" rid="B29">29</xref>). Although these CD4+ T cells are partially activated, their function remains relatively weak. In certain patients, there is a notably higher frequency of double-positive T cell subsets in the BM (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, the increased number of T<sub>regs</sub> suppresses the anti-leukemic function of effector T cells (T<sub>effs</sub>) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B24">24</xref>), and removing T<sub>regs</sub> can partially restore T cell functionality (<xref ref-type="bibr" rid="B21">21</xref>). Unlike typical NKT cells, CD3+CD56+ T cells in AML patients exhibit significantly reduced cytotoxic potential (<xref ref-type="bibr" rid="B18">18</xref>). The BM of AML patients contains atypical B cells (<xref ref-type="bibr" rid="B30">30</xref>), although their exact role remains unclear. Overall, the immune microenvironment in AML patients is characterized by immune suppression, which hinders anti-tumor immune responses and promotes tumor immune escape and disease progression.</p>
</sec>
<sec id="s3">
<label>3</label>
<title>Common gene mutations in AML patients and the immune microenvironment</title>
<p>In different patient populations, the immunogenicity of AML cells and the quality of the immune response are shaped by specific oncogenic driver mutations. Even in the presence of the same mutations, variations in co-mutations or other genetic background differences can lead to distinct pathways of AML progression, resulting in differing prognoses. Although AML is typically characterized by a low mutation burden, certain high-frequency driver mutations, such as <italic>FLT3-ITD</italic> and <italic>NPM1</italic> mutations, can generate immunogenic peptides that act as tumor-specific antigens, triggering targeted immune responses (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Therefore, understanding the impact of these genetic mutations on the immune microenvironment is essential for the development of effective immunotherapy strategies for AML.</p>
<sec id="s3_1">
<label>3.1</label>
<title>
<italic>FLT3-ITD</italic> mutation</title>
<p>
<italic>FLT3</italic> is a receptor tyrosine kinase predominantly expressed in DCs (<xref ref-type="bibr" rid="B33">33</xref>). The <italic>FLT3</italic> signaling pathway regulates the differentiation and mobilization of precursor DCs, as well as the homeostatic division of cDCs in peripheral lymph nodes (<xref ref-type="bibr" rid="B29">29</xref>). In patients with AML, approximately 20-25% harbor <italic>FLT3-ITD</italic> mutations, while 5-7% have mutations in the <italic>FLT3-TKD</italic> (<xref ref-type="bibr" rid="B34">34</xref>). These mutations lead to constitutive activation of the <italic>FLT3</italic> receptor, resulting in enhanced cell proliferation and inhibition of apoptosis (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>T cell dysfunction and immune escape in <italic>FLT3-ITD</italic> mutant AML</title>
<p>T cells can specifically recognize <italic>FLT3-ITD</italic>-mutated AML cells and induce cell lysis by secreting IFN-&#x3b3;, granzyme B, and perforin (<xref ref-type="bibr" rid="B16">16</xref>). In patients with <italic>FLT3-ITD</italic> mutations, the proportion of CD3+ T cells (<xref ref-type="bibr" rid="B1">1</xref>), including both CD4+ and CD8+ subsets, is significantly increased (<xref ref-type="bibr" rid="B35">35</xref>), which contrasts with the significantly reduced percentages of B cells, plasmablasts (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B36">36</xref>), and NKT cells (<xref ref-type="bibr" rid="B37">37</xref>). However, despite the increase in T cells, the anti-leukemia immune response is impaired due to multiple immune escape mechanisms, such as the predominant expansion of T<sub>regs</sub> among CD4+ T cells. Studies have shown that T<sub>regs</sub> are significantly enriched in the BM and spleen of <italic>FLT3-ITD</italic>-mutant AML mice (<xref ref-type="bibr" rid="B16">16</xref>), suggesting that the increase in CD4+ T lymphocytes is primarily driven by the expansion of T<sub>regs</sub>.</p>
<p>In addition, immune evasion is also achieved through the following mechanisms: upregulation of co-expressed immunosuppressive molecules on CD8+ T cells (<xref ref-type="bibr" rid="B38">38</xref>), and the elevated expression of immune checkpoint receptors like TIM-3 and LAG-3 (<xref ref-type="bibr" rid="B29">29</xref>). Although the proportion of CD8+ T cells is increased in these patients, they typically exhibit a TIGIT+PD-1+DNAM-1&#x2212; phenotype (<xref ref-type="bibr" rid="B38">38</xref>). The co-expression of these immunosuppressive molecules is associated with poorer prognosis (<xref ref-type="bibr" rid="B39">39</xref>). However, although no significant differences in the expression of TIGIT and PD-1 were observed between the <italic>FLT3-ITD</italic> mutant and wild-type groups when analyzed in the overall T cell population in some samples (<xref ref-type="bibr" rid="B15">15</xref>), it is important to note that the immunosuppressive effects are primarily determined by the expression of immune checkpoint receptors on T cells that specifically recognize leukemia antigens (<xref ref-type="bibr" rid="B40">40</xref>). Additionally, following mutation, the <italic>FLT3</italic> receptor remains aberrantly activated, and in combination with the effect of <italic>FLT3</italic> ligand, this leads to elevated expression of TIM-3 in T cells (<xref ref-type="bibr" rid="B29">29</xref>). The autocrine or paracrine signaling pathways of TIM-3 promote leukemia cell proliferation and anti-apoptotic activity, while also suppressing the function of distant immune cells (<xref ref-type="bibr" rid="B29">29</xref>). TIM-3 expression is accompanied by galectin-9 secretion, which inhibits T cell activity. TIM-3 transcript levels correlate with CLIP levels (<xref ref-type="bibr" rid="B29">29</xref>), suggesting that immune evasion mechanisms are often co-activated. Moreover, In the context of <italic>FLT3-ITD</italic> mutation, the expression of the immune checkpoint LAG-3 is significantly increased in T cell subsets (<xref ref-type="bibr" rid="B27">27</xref>). LAG-3 impairs T cell receptor (TCR)-mediated signaling, thereby affecting the proliferation and function of T<sub>effs</sub> cells. High LAG-3 expression is associated with shorter OS and disease-free survival in AML patients (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B39">39</xref>) (<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>In the <italic>FLT3-ITD</italic>-mutated AML microenvironment, elevated T cell subsets, including CD8+ and CD4+ T cells, are suppressed by overexpression of immune checkpoints (e.g., PD-1, TIGIT, LAG-3, TIM-3) and their ligands (e.g., Gal-9). Additionally, in cells harboring both <italic>FLT3-ITD</italic> mutations and the <italic>KMT2A</italic>::<italic>MLLT3</italic> fusion, activated <italic>CCN3</italic> enhances Treg functionality, while <italic>SOCS2</italic> promotes the polarization of iTregs from CD4+ T cells. <italic>FLT3-ITD</italic>, Fms-like tyrosine kinase 3 internal tandem duplication; Treg, Regulatory T cell; iTreg, Inducible Regulatory T cells; CD8+ T Cell, Cluster of Differentiation 8 Positive T Cell; CD4+ T Cell, Cluster of Differentiation 4 Positive T Cell; TGF: Transforming Growth Factor; IL: Interleukin; IFN, Interferon; TNF: Tumor Necrosis Factor; TCR, T Cell Receptor; LAG, Lymphocyte activation gene; TIGIT, T cell immunoreceptor with Ig and ITIM domains; PD-1, Programmed cell death protein 1; TIM, T-cell immunoglobulin and mucin-domain containing; CLIP, Class II-associated invariant chain peptide; Gal-9, Galectin-9; IDO, Indoleamine 2,3-dioxygenase; <italic>CCN3</italic>, Cysteine-rich angiogenic protein 3; <italic>SOCS2</italic>, Suppressor of Cytokine Signaling 2.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635111-g001.tif">
<alt-text content-type="machine-generated">Diagram depicting interactions between FLT3-ITD mutant leukemia cells and various immune cells, including Treg, iTreg, CD8+ T cells, and CD4+ T cells. The image illustrates pathways involving molecules like TGF-&#x3b2;, IL-10, IFN-&#x3b3;, TNF-&#x3b1;, and SOCS2, showing their effects on cell proliferation and cytolytic activity. Mutant cells are shown influencing immune responses through complex signaling pathways, including KMT2A::MLLT3 fusion.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>DC expansion and dysfunction in <italic>FLT3-ITD</italic> mutant AML</title>
<p>Compared to wild-type AML patients, those with <italic>FLT3-ITD</italic> mutations exhibit a significant expansion of DCs, particularly common DC progenitors and precursor DCs. In mouse models, the effect of <italic>FLT3-ITD</italic> on DCs is allele dose-dependent; the more copies of the mutation present, the greater the expansion of DCs. This expansion promotes the proliferation of T<sub>regs</sub>, a phenomenon that becomes especially pronounced in the BM as the mutation burden increases (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Concurrently, DCs undergo abnormal phenotypic changes. The frequency of XCR1/cDC1 double-negative cDCs is markedly elevated, and these cells display impaired antigen presentation capabilities (<xref ref-type="bibr" rid="B16">16</xref>). In <italic>FLT3-ITD</italic> mutant patients, CLIP on the surface of cDCs remains bound to and exposed on HLA molecules. CLIP is an invariant chain polypeptide essential for HLA class II antigen presentation and can also be cross-presented on HLA class I molecules. Persistent exposure to CLIP disrupts T cell activation and is associated with poorer prognosis (<xref ref-type="bibr" rid="B29">29</xref>). Additionally, compared to healthy mice, the cDC phenotype in <italic>FLT3-ITD</italic> mutant mice is skewed toward T-bet-expressing cDC2. Under the influence of specific cytokines, these cDC2 cells effectively polarize naive CD4+ T cells into Th17 cells, leading to increased production of IL-17A. This Th17 subpopulation has been linked to unfavorable prognosis in AML (<xref ref-type="bibr" rid="B16">16</xref>) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Meanwhile, the immune evasion mechanisms are further complicated by alterations in TNF secretion by macrophages. The secretion of TNF by macrophages is decreased in patients with <italic>FLT3-ITD</italic> mutations (<xref ref-type="bibr" rid="B42">42</xref>), but TNF exerts a dual effect on tumor cells. Under normal conditions, TNF is involved in regulating T lymphocyte-mediated homeostasis and anti-tumor responses, thereby improving CR rates and extending event-free survival. However, studies have shown that lower levels of TNF may promote the death of tumor-infiltrating T cells, enhance tumor cell differentiation, and facilitate the migration of myeloid cells, thereby accelerating leukemia progression (<xref ref-type="bibr" rid="B1">1</xref>). Therefore, the role of TNF in AML is complex, and changes in its levels may have varying effects on disease progression.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The immune microenvironment in <italic>FLT3-ITD</italic> mutated AML is characterized by the expansion of DCs, particularly the cDC2 subset, which exhibits a T-bet-positive phenotype and persistent CLIP exposure, leading to impaired antigen presentation. Through HLA II-CLIP, DCs promote Treg proliferation and secrete TGF-&#x3b2;, IL-6, and IL-23, driving the polarization of CD4+ T cells into Th17 cells. These Th17 cells produce IL-17A, which contributes to immune activation and inflammatory responses. AML, Acute Myeloid Leukemia; MHC, Major Histocompatibility Complex Class; T-bet, T-box transcription factor expressed in T cells; DC, Dendritic cell; cDC2, Conventional Dendritic Cell Subtype 2; Th17, T-helper 17 Cell.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635111-g002.tif">
<alt-text content-type="machine-generated">Diagram illustrating the immune microenvironment in FLT3-ITD mutated acute myeloid leukemia (AML). It shows the interactions between T regulatory (Treg) cells, dendritic cells (DC), CD4+ T cells, and Th17 cells. Key molecular interactions include TCR-MHC II-CLIP, T-bet(+), cDC2(+), and cytokines TGF-beta, IL-6, IL-23, and IL-17A, with processes like Treg proliferation and immune activation indicated by arrows.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>Macrophage polarization and immune modulation in <italic>FLT3-ITD</italic> mutant AML</title>
<p>The frequency of TIGIT+ M2 macrophages is elevated in AML patients with the <italic>FLT3-ITD</italic> mutation. The high infiltration and expression of TIGIT in M2 macrophages are significantly associated with poor prognosis in AML (<xref ref-type="bibr" rid="B14">14</xref>). In AML cells harboring both <italic>FLT3-ITD</italic> mutations and the <italic>KMT2A</italic>::<italic>MLLT3</italic> fusion, the genes <italic>CCN3</italic> and <italic>SOCS2</italic> become activated (<xref ref-type="bibr" rid="B43">43</xref>). Activation of <italic>CCN3</italic> recruits macrophages and promotes their differentiation into the M2 phenotype, downregulates the expression of CD36 and SRA1, and consequently reduces phagocytic function (<xref ref-type="bibr" rid="B44">44</xref>). Additionally, as a target gene of FoxO1, <italic>CCN3</italic> activation enhances the functionality of T<sub>regs</sub> (<xref ref-type="bibr" rid="B45">45</xref>). <italic>SOCS2</italic> plays a multifaceted role by not only inhibiting the expression of pro-inflammatory cytokines and the development of T helper 2 (Th2) cells in DCs but also promoting the polarization of CD4+ T cells into inducible regulatory T cells (iTregs) (<xref ref-type="bibr" rid="B46">46</xref>) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). It maintains the stable expression of <italic>Foxp3</italic> in iTregs by inhibiting the IL-4 signaling pathway, thereby sustaining the anti-inflammatory phenotype and cellular stability of iTregs (<xref ref-type="bibr" rid="B47">47</xref>). Moreover, excessive activation of <italic>SOCS2</italic> leads to the inhibition of IL-8 secretion and upregulation of RANTES expression, both of which are associated with poor prognosis (<xref ref-type="bibr" rid="B48">48</xref>). These findings align with observations in AML, where elevated levels of <italic>SOCS2</italic> correlate with reduced OS (<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
<sec id="s3_1_4">
<label>3.1.4</label>
<title>Altered NK cell proportions and function in <italic>FLT3-ITD</italic> mutant AML</title>
<p>In addition, the proportion of NK cells in AML patients with <italic>FLT3-ITD</italic> mutations was significantly elevated, and the copy number, ITD length, and mutant allele frequency of <italic>FLT3-ITD</italic> mutations were positively correlated with the proportion of NK cells. However, patients with a high proportion of NK cells at the initial stage of AML tend to have a poor prognosis. This may be due to a reduced number of mature NK cells and their limited cytotoxic function (<xref ref-type="bibr" rid="B37">37</xref>). Furthermore, the expression of inhibitory receptors is generally increased across all NK cell subsets, although it exhibits heterogeneity (<xref ref-type="bibr" rid="B8">8</xref>). In a study by Cianga&#x2019;s team analyzing BM samples from eight AML patients, the proportion of overmature NK cells in patients with <italic>FLT3</italic> mutations was significantly increased (<xref ref-type="bibr" rid="B9">9</xref>). Conversely, in another study by the same team examining PB from 20 newly diagnosed AML patients, those with <italic>FLT3</italic> mutations exhibited an extremely low proportion of NK cells and markedly abnormal expression levels of the inhibitory receptor CD159a (<xref ref-type="bibr" rid="B8">8</xref>). These discrepancies may be attributed to differences in patient cohorts, variations between the BM and PB environments, and the regulatory influence of the TME on NK cell development.</p>
</sec>
<sec id="s3_1_5">
<label>3.1.5</label>
<title>Dual role of MAIT cells in tumor surveillance and immune evasion in <italic>FLT3-ITD</italic> mutant AML</title>
<p>AML patients with <italic>FLT3-ITD</italic> mutations have increased numbers of mucosal-associated invariant T (MAIT) cells, which predominantly exhibit effector memory or terminally differentiated phenotypes (<xref ref-type="bibr" rid="B35">35</xref>), indicating high activation but also signs of aging and exhaustion, characterized by upregulated PD-1 and downregulated CD161 expression (<xref ref-type="bibr" rid="B49">49</xref>). Moreover, MAIT cell function is compromised, with reduced Th1-type cytokine production (IFN-&#x3b3; and TNF-&#x3b1;) and increased secretion of Th17-type cytokines (IL-17A and IL-8), granzyme B, and perforin (<xref ref-type="bibr" rid="B49">49</xref>). We speculate that in AML patients, despite reduced Th1-type cytokine production, MAIT cells may exert anti-tumor effects primarily through granzyme B and perforin-mediated degranulation and cytokine activation, as indicated by the increased secretion of Th17-type cytokines and cytotoxic molecules. These findings suggest that MAIT cells have a dual role in AML, functioning both as anti-tumor agents and potentially as tumor promoters. However, the changes in PD-1 and CD161 expression and the secretion of immune effector molecules in the context of <italic>FLT3-ITD</italic> mutations require further investigation.</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>
<italic>NPM1</italic> mutation</title>
<p>
<italic>NPM1</italic> mutations occur in approximately 20% to 30% of adult AML patients. Over 80% of these mutations are type A, characterized by a frameshift insertion at the fourth nucleotide position. This mutation alters the last 11 amino acids at the C-terminus of the <italic>NPM1</italic> protein, resulting in its abnormal retention in the cytoplasm, referred to as <italic>NPM1</italic>c (<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>).</p>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>
<italic>NPM1</italic> mutation-specific T cell responses in AML</title>
<p>The abnormal cytoplasmic localization of <italic>NPM1</italic>c leads to the generation of novel neoepitopes, including AIQDLCLAV (AIQ) (<xref ref-type="bibr" rid="B5">5</xref>) and CLAVEEVSL (CLA) (<xref ref-type="bibr" rid="B53">53</xref>), which can be recognized by specific TCRs. The AIQ epitope, presented by HLA-A2, can bind to specific TCRs, and T cells engineered to express these TCRs effectively kill <italic>NPM1</italic>c+HLA-A2+ AML cells. AML patients with <italic>NPM1</italic>c+ who exhibit AIQ-specific CD8+ T cell responses have significantly longer survival (<xref ref-type="bibr" rid="B5">5</xref>). In contrast, the CLA epitope does not elicit a significant T cell response (<xref ref-type="bibr" rid="B53">53</xref>), suggesting that CLA may be suppressed by the TME <italic>in vivo</italic>. <italic>NPM1</italic> mutation-specific CD8+ T cells can directly lyse leukemia cells harboring <italic>NPM1</italic> mutations, whereas CD4+ T cells support CD8+ T cell function and induce HLA class II-mediated anti-tumor cytotoxic responses. These specific T cells predominantly express CD107a (<xref ref-type="bibr" rid="B54">54</xref>), indicating their activated state and involvement in cytotoxic activity (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Notably, specific T cell responses can still be detected after morphological CR in AML patients. This suggests that even when leukemic cells are substantially reduced, these T cells continue to eliminate minimal residual disease (MRD), thereby maintaining long-term CR and reducing relapse risk. A decrease in specific T cells is associated with disease relapse, and patients exhibiting these T cell responses have longer OS (<xref ref-type="bibr" rid="B54">54</xref>), further indicating a strong correlation with better prognosis. However, it remains to be investigated whether the frequency and intensity of <italic>NPM1</italic> mutation-specific T cell responses vary based on patients&#x2019; molecular characteristics.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>In <italic>NPM1</italic> mutant leukemia cells, aberrant <italic>NPM1</italic>c localization leads to the generation of neoepitopes, including AIQ and CLA. The AIQ epitope activates CD8+ T cells via MHC I presentation and induces leukemia cell killing, with CD107a expression indicating T cell activation. In contrast, the CLA epitope fails to activate T cells. Immune checkpoint molecules such as PD-1, VISTA, and PD-L1 also contribute to immune evasion. <italic>NPM1</italic>, Nucleophosmin 1; <italic>NPM1</italic>c, Cytoplasmic Nucleophosmin 1 (mutated form of <italic>NPM1</italic> abnormally localized to cytoplasm); PD-L2: Programmed Death-Ligand 2; VISTA, V-domain Ig Suppressor of T cell Activation; AIQ, AIQDLCLAV; CLA, CLAVEEVSL.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635111-g003.tif">
<alt-text content-type="machine-generated">Diagram illustrating the process in NPM1 mutant leukemia cells. The image follows the sequence of NPM1 mutation, with NPM1c aberrant localization leading to degradation via the proteasome, generating neoepitopes. These neoepitopes, such as AIQ, activate CD8+ T cells via MHC I, causing cell killing. CLA epitopes fail to activate T cells. Various receptors like PD-L1, PD-L2, B7.2, and VISTA are shown on the cell membrane.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Immune checkpoint regulation and inhibitory ligands in <italic>NPM1</italic>-mutated AML</title>
<p>AML cells can still evade immune surveillance through multiple mechanisms. In particular, under the influence of neoantigenic epitopes produced by <italic>NPM1</italic> mutations, leukemic cells predominantly express inhibitory B7 family ligands (such as PD-L1, PD-L2, B7.2, and VISTA) (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B55">55</xref>). Elevated PD-L1 expression significantly enhances the immunosuppression of <italic>NPM1</italic> mutation-specific CD8+ T cells (<xref ref-type="bibr" rid="B56">56</xref>). This high level of PD-L1 is strongly associated with poorer patient outcomes, in part due to the expansion of T<sub>regs</sub> (<xref ref-type="bibr" rid="B57">57</xref>), especially in patients with concurrent <italic>FLT3-ITD</italic> mutations (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Although some studies suggest that <italic>NPM1</italic> is essential for PD-L1 expression and that <italic>NPM1</italic> mutations may slightly reduce PD-L1 expression, these differences are not statistically significant (<xref ref-type="bibr" rid="B58">58</xref>), and the underlying mechanisms remain to be elucidated. Furthermore, In patients with <italic>NPM1</italic>-mutated AML, TIM-3 transcript levels are also significantly reduced (<xref ref-type="bibr" rid="B58">58</xref>). TIM-3 plays a complex role in immune function, correlating with T cell exhaustion while also enhancing NK cell cytotoxicity. Some studies indicate that low TIM-3 expression may be associated with favorable prognosis in <italic>NPM1</italic>-mutated AML, whereas higher TIM-3 expression is linked to significantly lower CR and survival rates at one-year follow-up (<xref ref-type="bibr" rid="B58">58</xref>). These findings suggest that TIM-3 may serve as a potential indicator of poor prognosis. Notably, patients with a greater number of TIM-3+ NK cells exhibit better prognoses (<xref ref-type="bibr" rid="B59">59</xref>), emphasizing the dual nature of TIM-3 in AML. Overexpression of the pro-inflammatory mediator LTB4R is positively correlated with the expression of inhibitory immune checkpoint molecules such as PD-1 and TIM-3, while showing a negative correlation with immune effector cell populations (<xref ref-type="bibr" rid="B60">60</xref>). Although the mechanistic link remains unclear, this suggests that LTB4R may contribute to the immunosuppressive landscape in <italic>NPM1</italic>-mutated AML. In addition, <italic>NPM1</italic> mutations have been shown to enhance the expression of CD47, a key &#x2018;don&#x2019;t eat me&#x2019; signal, which interacts with SIRP&#x3b1; on macrophages to inhibit phagocytosis. This mechanism further protects leukemic cells from immune clearance by the innate immune system (<xref ref-type="bibr" rid="B58">58</xref>). Although activating signals such as ULBP1 can stimulate NK and T cell responses through engagement with the NKG2D receptor, their immunostimulatory effects may be attenuated by the concurrent upregulation of immune checkpoint molecules, further enabling immune evasion in <italic>NPM1</italic>-mutated AML (<xref ref-type="bibr" rid="B51">51</xref>).</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>
<italic>NPM1</italic> mutation-mediated modulation of HLA expression and antigen presentation in AML</title>
<p>The antigen presentation process is also inhibited. In the absence of <italic>DNMT3A</italic> mutations, <italic>NPM1</italic> mutations lead to the downregulation of the <italic>CIITA</italic> gene (<xref ref-type="bibr" rid="B51">51</xref>), thereby inhibiting the expression of CLIP protein and HLA molecules, which helps leukemia cells evade recognition by CD8+ T cells. However, AML cells partially retain HLA expression, and cells with low HLA expression do not exhibit higher NK cell lysis rates (<xref ref-type="bibr" rid="B58">58</xref>), suggesting that leukemia cells may balance NK and T cell attacks in immunoediting by regulating HLA levels. Furthermore, studies have found that the frequency of specific HLA-I alleles in patients with <italic>NPM1</italic> mutations is significantly lower than that in healthy controls and <italic>NPM1</italic> wild-type AML patients (<xref ref-type="bibr" rid="B54">54</xref>). This suggests that HLA alleles capable of effectively presenting <italic>NPM1</italic> peptides may reduce the risk of developing <italic>NPM1</italic>-mutated AML. Even among patients carrying such alleles who develop the disease, specific immune responses may contribute to disease remission. <italic>DNMT3A</italic> mutations can weaken the effect of <italic>NPM1</italic> mutations on HLA expression. Interestingly, in samples with high HLA-DR expression, <italic>NPM1</italic> mutations are associated with higher CLIP levels, indicating a complex regulation of antigen presentation and immune responses (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Metabolic and costimulatory dysregulation in <italic>NPM1</italic>-mutated AML</title>
<p>In addition to modulating classical immune checkpoint pathways, <italic>NPM1</italic> mutations suppress immune function through a range of noncanonical mechanisms. One such mechanism involves the regulation of small extracellular vesicle-mediated signaling. The <italic>NPM1</italic>c/CTCF/PABPC1 signaling axis controls the secretion of miR-19a-3p via small extracellular vesicles, which are subsequently internalized by CD8+ T cells. This process inhibits the expression of creatine transporters, prevents creatine uptake, reduces ATP production, and consequently impairs the immune function of CD8+ T cells (<xref ref-type="bibr" rid="B53">53</xref>). Moreover, <italic>NPM1</italic> mutations significantly upregulate <italic>SPINK2</italic> expression and downregulate <italic>ALCAM</italic>, both of which contribute to impaired T cell activation (<xref ref-type="bibr" rid="B61">61</xref>).</p>
</sec>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>
<italic>DNMT3A</italic> mutation</title>
<p>Approximately 25% of AML patients harbor mutations in the <italic>DNMT3A</italic> gene, with the R882H variant being the most prevalent. This mutation reduces <italic>DNMT3A</italic>&#x2019;s methyltransferase activity and is associated with genome-wide hypomethylation. Some studies suggest that this hypomethylation represents an early event initiated by the mutation, whereas <italic>DNMT3A</italic>-dependent CpG island hypermethylation may emerge during AML progression (<xref ref-type="bibr" rid="B62">62</xref>). In addition, <italic>DNMT3A</italic> mutations are frequently associated with increased chemotherapy resistance (<xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B65">65</xref>). Although study results have varied (<xref ref-type="bibr" rid="B66">66</xref>), such discrepancies may be attributed to differences in patient population characteristics.</p>
<sec id="s3_3_1">
<label>3.3.1</label>
<title>T cell subset imbalance and functional consequences in <italic>DNMT3A</italic>-mutated AML</title>
<p>
<italic>DNMT3A</italic> plays a pivotal role in shaping immune cell fate, particularly by maintaining the differentiation stability of CD4+ T cells and restricting both the formation of long-term memory CD8+ T cells and the pool of memory precursor effector cells (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B67">67</xref>). In the context of AML, <italic>DNMT3A</italic> mutations have been associated with notable alterations in T cell infiltration and subset composition. In AML patients, <italic>DNMT3A</italic> mutations are associated with increased T cell infiltration; however, the distribution of T cell subsets is aberrant. Specifically, in patients with wild-type <italic>DNMT3A</italic>, T cells tend to undergo terminal differentiation, resulting in a reduced proportion of memory T cells (<xref ref-type="bibr" rid="B28">28</xref>). In contrast, patients with <italic>DNMT3A</italic> mutations exhibit a reduction in CD8+ T<sub>n</sub> and CD4+ T<sub>em</sub> in the BM, accompanied by an increase in CD4+ central memory T cells. Clinical studies have demonstrated that using donors with a higher proportion of CD8+ T<sub>n</sub> for lymphocyte infusion can contribute to long-term remission in AML patients (<xref ref-type="bibr" rid="B28">28</xref>). Notably, similar to other mutations affecting DNA methylation regulators such as <italic>NPM1</italic>, <italic>IDH2</italic>, and <italic>CEBPA</italic>, <italic>DNMT3A</italic> mutations have also been shown to upregulate tumor-specific antigens, which in turn can activate antigen-specific clonal T cell responses (<xref ref-type="bibr" rid="B68">68</xref>). Conversely, lower ratios of CD8+ T<sub>n</sub> and CD4+ T<sub>em</sub> are associated with adverse genetic risks and poorer relapse-free survival and event-free survival (<xref ref-type="bibr" rid="B28">28</xref>). The specific impact of T<sub>em</sub> cells on prognosis remains controversial. Some studies, such as those by Ling Xu and Adam J. Lamble, have found that an increased proportion of T<sub>em</sub> cells is associated with enhanced T cell proliferation and higher CR rates. However, Maddalena Noviello&#x2019;s team reported that the proportion of T<sub>em</sub> cells also increases in relapsed AML patients (<xref ref-type="bibr" rid="B28">28</xref>). Moreover, <italic>DNMT3A</italic> mutations are linked to a higher risk of acute graft-versus-host disease following allogeneic hematopoietic stem cell transplantation, primarily by promoting CD4+ T cell polarization toward a Th1 phenotype and enhancing IFN-&#x3b3; production (<xref ref-type="bibr" rid="B67">67</xref>). These findings collectively highlight the profound impact of <italic>DNMT3A</italic> mutations on T cell differentiation, function, and clinical outcomes in AML.</p>
</sec>
<sec id="s3_3_2">
<label>3.3.2</label>
<title>Immunosuppressive mechanisms and innate immune impairment driven by <italic>DNMT3A</italic> mutations</title>
<p>Beyond modulating adaptive immunity, <italic>DNMT3A</italic> mutations also disrupt innate immune signaling and promote an immunosuppressive TME. One such mechanism involves the hypomethylation-induced upregulation of <italic>miR-196b</italic>, which directly inhibits the Toll-like receptors (TLR) 7/8 signaling pathway, thereby weakening the immune response. In normal immune cells, TLR7 activates type I IFN and cytokines through the MyD88 pathway, indirectly activating Stat1 signaling to enhance the activity of Th1 cells and monocytes while promoting DC differentiation (<xref ref-type="bibr" rid="B69">69</xref>). Consequently, inhibition of TLR7/8 may lead to a diminished overall immune response. <italic>DNMT3A</italic> mutations are also frequently accompanied by increased infiltration of T<sub>regs</sub> (<xref ref-type="bibr" rid="B70">70</xref>). Previous studies have shown that T<sub>regs</sub> are highly adaptable to different tissue environments, and <italic>DNMT3A</italic>-dependent <italic>de novo</italic> DNA methylation facilitates this adaptability by establishing tissue-specific epigenetic memory, thereby refining and modulating their functions. However, in AML, <italic>DNMT3A</italic> mutations may impair methyltransferase activity, making it difficult for T<sub>regs</sub> to adapt to various environments and thereby affecting their immune regulatory functions (<xref ref-type="bibr" rid="B71">71</xref>). Additionally, <italic>DNMT3A</italic>-dependent <italic>de novo</italic> DNA methylation is essential for silencing <italic>Foxp3</italic> transcription. Mutations in <italic>DNMT3A</italic> may impair the effective silencing of <italic>Foxp3</italic> transcription in T<sub>regs</sub>, allowing them to continuously maintain their immunosuppressive functions, which may further promote immune escape in AML (<xref ref-type="bibr" rid="B72">72</xref>). In addition to T<sub>reg</sub>-mediated suppression and impaired TLR signaling, <italic>DNMT3A</italic>-mutated AML cells also exhibit elevated levels of immunosuppressive cytokines such as IL-10 and TGF-&#x3b2; (<xref ref-type="bibr" rid="B62">62</xref>). Furthermore, the concurrent upregulation of immune checkpoint molecules including PD-L1, CLIP, and TIM-3 indicates a coordinated activation of multiple immune evasion pathways, collectively contributing to a highly suppressive TME and poor prognosis (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s3_3_3">
<label>3.3.3</label>
<title>Myeloid reprogramming and TAM polarization in <italic>DNMT3A</italic>-mutated AML</title>
<p>In addition to its effects on lymphoid immunity, <italic>DNMT3A</italic> mutation significantly alters the myeloid compartment. AML cells harboring <italic>DNMT3A</italic> mutations have been shown to possess an enhanced capacity to chemoattract monocytes, thereby modifying the TME to favor immune suppression. These AML cells inhibit the activity of the AP-1 binding site, leading to the downregulation of pro-inflammatory cytokines such as MIP-1&#x3b1;, MIP-1&#x3b2;, and IL-1&#x3b2; (<xref ref-type="bibr" rid="B62">62</xref>). The suppression of these key mediators impairs M1 macrophage polarization and diminishes their cytotoxic functions against tumor cells. <italic>In vivo</italic> studies using murine models have demonstrated a marked increase in the proportion of M2-polarized tumor-associated macrophages (TAMs) in the presence of <italic>DNMT3A</italic> mutations. These M2 macrophages express high levels of CD163 and CD206 and secrete chemokines such as CCL17, CCL22, and CCL24, which recruit Th2 cells to the leukemia microenvironment (<xref ref-type="bibr" rid="B62">62</xref>). The accumulation of M2 TAMs and Th2 cells creates an anti-inflammatory milieu that correlates strongly with reduced patient survival. Furthermore, <italic>DNMT3A</italic>-mutated AML cells exhibit resistance to macrophage-mediated killing and can differentiate into monocyte-like cells with immunosuppressive properties, further contributing to the inhibition of effective anti-leukemic T cell responses (<xref ref-type="bibr" rid="B62">62</xref>). These findings underscore a critical role for <italic>DNMT3A</italic> mutations in reprogramming the myeloid landscape, skewing macrophage polarization toward an immunosuppressive phenotype, and establishing a tumor-permissive microenvironment.</p>
</sec>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>
<italic>TP53</italic> mutation</title>
<p>In AML, the detection rate of <italic>TP53</italic> gene mutations is approximately 5-10%. However, this rate is significantly higher in treatment-related AML and in elderly patients with complex karyotypes, reaching as high as 70-80%. <italic>TP53</italic> mutations are recognized as an independent prognostic factor for poor outcomes in AML patient (<xref ref-type="bibr" rid="B73">73</xref>).</p>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>T cell dysfunction, exhaustion, and T<sub>regs</sub> expansion in <italic>TP53</italic>-mutated AML</title>
<p>
<italic>TP53</italic> mutations in AML lead to substantial alterations in the function and composition of T cells. Despite the increased infiltration of T cells, these cells exhibit signs of exhaustion and impaired functionality (<xref ref-type="bibr" rid="B71">71</xref>). Specifically, the expression of activation markers such as CD25, HLA-DR, and CD127 is low (<xref ref-type="bibr" rid="B74">74</xref>), while the immune checkpoint receptor CTLA-4 is upregulated (<xref ref-type="bibr" rid="B75">75</xref>). Moreover, the expression of cytotoxic molecules such as perforin and granzyme B is diminished (<xref ref-type="bibr" rid="B76">76</xref>), and the secretion of Th1 cytokines is significantly reduced (<xref ref-type="bibr" rid="B77">77</xref>). The T cell subsets are also significantly altered. Unsupervised clustering analysis revealed that CD8+ T cells predominantly exhibit an ICOS+/4-1BB+/PD-1+ phenotype (<xref ref-type="bibr" rid="B78">78</xref>), suggesting a dysfunctional, exhausted state. In contrast, Th cells predominantly express ICOS (<xref ref-type="bibr" rid="B6">6</xref>), which, despite being a costimulatory molecule, contributes to immune evasion in this context. The increase in PD-1+ cytotoxic T lymphocytes and PD-L1+ BM blasts further supports this hypothesis, as PD-1 signaling has been shown to inhibit T cell function and induce exhaustion (<xref ref-type="bibr" rid="B79">79</xref>). The upregulation of PD-L1 is closely associated with the downregulation of miR-34a and the overexpression of the <italic>MYC</italic> gene. Under normal conditions, wild-type p53 induces the transcription of miR-34a, which targets <italic>MYC</italic> mRNA and promotes its degradation, thereby negatively regulating <italic>MYC</italic> expression. However, in <italic>TP53</italic>-mutated AML, miR-34a expression is significantly reduced, leading to the upregulation of <italic>MYC</italic> and the induction of PD-L1 expression. The downregulation of miR-34a weakens its binding to the 3&#x2032; untranslated region of PD-L1 mRNA, reducing the inhibition of PD-L1 expression and thereby promoting T cell exhaustion (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B78">78</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Transcriptional analysis revealed that, compared to healthy controls, cytotoxic T lymphocytes from <italic>TP53</italic>-mutated AML patients exhibited upregulation of inhibitory molecules (such as CD244, CD160, LILRB1, CD300A, and PVRIG) and downregulation of stimulatory molecules (such as CD40LG, CD28, TNFSF8, TMIGD2, and TNFRSF25). These alterations were not significant in other AML molecular subtypes (<xref ref-type="bibr" rid="B79">79</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>In <italic>TP53</italic> wild-type AML, p53 promotes miR-34a expression, leading to MYC mRNA degradation and suppression of PD-L1 expression. In contrast, <italic>TP53</italic>-mutated AML shows reduced miR-34a, resulting in MYC upregulation and PD-L1 overexpression. <italic>TP53</italic>, Tumor Suppressor P53 Gene; p53, Tumor Protein 53; miR-34a, MicroRNA-34a; 3'UTR, 3' Untranslated Region; MYC Mrna, Myelocytomatosis Oncogene Messenger RNA; PD-L1, Programmed Death-Ligand 1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635111-g004.tif">
<alt-text content-type="machine-generated">Diagram comparing TP53 wild type (left) and TP53 mutation (right) pathways. In the wild type, p53 activates miR-34a, leading to MYC mRNA degradation, decreased MYC protein, and reduced PD-L1 expression. In the mutation, mutant p53 reduces miR-34a, allowing MYC mRNA to accumulate, increasing MYC protein and PD-L1 expression.</alt-text>
</graphic>
</fig>
<p>In contrast, T<sub>regs</sub> demonstrated metabolic adaptations and proliferative advantages. Although OX40+ T<sub>regs</sub> are markedly reduced in the BM, the highly immunosuppressive ICOShigh/PD-1neg T<sub>regs</sub> are significantly expanded (<xref ref-type="bibr" rid="B6">6</xref>). These T<sub>regs</sub> exhibit enhanced proliferative capacity and are implicated in the suppression of anti-tumor immunity, which has been identified as an independent predictor of poor OS (<xref ref-type="bibr" rid="B78">78</xref>). The IL-2/STAT5 signaling axis further promotes T<sub>reg</sub> differentiation and stabilization (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B80">80</xref>), with elevated <italic>FOXP3</italic> expression (<xref ref-type="bibr" rid="B74">74</xref>) and increased secretion of immunosuppressive cytokines such as TGF-&#x3b2; and IL-10 (<xref ref-type="bibr" rid="B76">76</xref>). Together, these findings illustrate a significant alteration in T cell functionality, with exhaustion of T<sub>effs</sub> and expansion of suppressive T<sub>regs</sub>, contributing to the immune escape observed in <italic>TP53</italic>-mutated AML.</p>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Dysregulation of innate immune pathways and pro-inflammatory microenvironment in <italic>TP53</italic>-mutated AML</title>
<p>
<italic>TP53</italic> mutations in AML significantly affect innate immune and leads to the formation of a pro-inflammatory microenvironment. One important mechanism is the downregulation of HLA molecules, which impairs antigen presentation, thus preventing the immune system from effectively recognizing and eliminating leukemia cells (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B76">76</xref>). In addition, despite promoting significant infiltration of TAMs (<xref ref-type="bibr" rid="B80">80</xref>), the overexpression of CD47 on leukemia stem cells interacts with the SIRP&#x3b1; receptor on TAMs, inhibiting their phagocytic activity (<xref ref-type="bibr" rid="B81">81</xref>). Additionally, <italic>TP53</italic> mutations lead to the upregulation of JAK/STAT, PI3K-Akt, and NF-&#x3ba;B signaling pathways, which are associated with increased production of pro-inflammatory cytokines such as CXCL1, CXCL2, CXCL8/IL-8, and IFN-induced products like CCL2, IL33, and IL6 (<xref ref-type="bibr" rid="B75">75</xref>). This results in the formation of a pro-inflammatory microenvironment, with IFN-&#x3b3; playing a dominant role, which has been linked to poor responses to induction chemotherapy. Moreover, <italic>TP53</italic> mutations inhibit IRF3 transcriptional activity and affect IFN expression through two mechanisms (<xref ref-type="bibr" rid="B1">1</xref>): by binding to TBK1, preventing the formation of the STING-TBK1-IRF3 complex (<xref ref-type="bibr" rid="B82">82</xref>), and (<xref ref-type="bibr" rid="B2">2</xref>) by inducing the overexpression of <italic>PLK4</italic>, which further inhibits the activation of the cGAS-STING-TBK1-IRF3 pathway (<xref ref-type="bibr" rid="B83">83</xref>).</p>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>
<italic>IDH1/2</italic> mutation</title>
<p>Mutations in <italic>IDH1/2</italic> are present in approximately 15-20% of AML patients. Gain-of-function mutations in these enzymes can lead to a blockade in hematopoietic cell differentiation and promote leukemic transformation (<xref ref-type="bibr" rid="B84">84</xref>). In AML, mutant <italic>IDH1/2</italic> enzymes convert &#x3b1;-ketoglutarate into the oncometabolite 2-hydroxyglutarate (2-HG), which accumulates in tumor tissues and patient serum, thereby suppressing immune function. 2-HG limits the secretion of CXCL10 by tumor cells, reducing T cell recruitment to tumor sites (<xref ref-type="bibr" rid="B85">85</xref>). Additionally, it inhibits the differentiation of monocytes into DCs, decreases the expression of HLA-DQ and HLA-DR on DCs, induces a tolerant phenotype, and suppresses the upregulation of DC markers such as CD1a and DC-SIGN. This results in reduced IL-12 and increased IL-10 secretion, thereby weakening the ability of DCs to stimulate T cells. AML cells harboring <italic>IDH</italic> mutations also exhibit decreased HLA-DP expression and demonstrate increased resistance to lysis by HLA-DP-specific T cells (<xref ref-type="bibr" rid="B86">86</xref>). However, Sunthankar KI reported that AML cells with the <italic>IDH2 R140Q</italic> mutation show increased HLA-DR expression and are capable of inducing T cell immune responses (<xref ref-type="bibr" rid="B84">84</xref>). Furthermore, once absorbed by immune cells, 2-HG inhibits histone and DNA demethylation in mouse CD8+ T cells, activates HIF-1&#x3b1;, and impairs T cell proliferation and effector functions. In human T cells, 2-HG destabilizes HIF-1&#x3b1;, promotes oxidative phosphorylation, enhances differentiation into CD4+CD25+FOXP3+ T<sub>regs</sub>, and inhibits Th17 cell differentiation. Additionally, 2-HG is transported into T cells via SLC13A3, where it interferes with NFATC1 signaling, limits T cell proliferation and function, and induces ATP depletion by inhibiting oxidative phosphorylation (<xref ref-type="bibr" rid="B85">85</xref>), thereby further enhancing immunosuppression. In stromal cells, 2-HG upregulates NF-&#x3ba;B and enhances the NF-&#x3ba;B phosphorylation response of <italic>IDH2</italic> mutant cells under IL-1&#x3b2; stimulation, leading to abnormal cytokine secretion (<xref ref-type="bibr" rid="B84">84</xref>). Most of these mechanisms facilitate AML progression and tumor immune evasion. However, the immune microenvironment also contains anti-tumor effector cells. For instance, <italic>IDH1/2</italic> mutations can induce a significant increase in MAIT cells (<xref ref-type="bibr" rid="B33">33</xref>) and CD4+ T<sub>effs</sub> (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>
<italic>NRAS</italic> mutation</title>
<p>
<italic>NRAS</italic> mutations are found in approximately 15-20% of AML patient (<xref ref-type="bibr" rid="B87">87</xref>). Multiple studies have shown that <italic>NRAS</italic> mutations alone have no significant impact on prognosis, but are associated with higher survival rates after adjusting for age and other factors (<xref ref-type="bibr" rid="B88">88</xref>). This suggests that <italic>NRAS</italic> mutations may predict a better prognosis under certain conditions, but further verification is needed. <italic>NRAS</italic> mutations show strong antigen presentation potential. Specifically, in the <italic>NRAS^G12D</italic> mutant AML mouse model, hematopoietic stem/progenitor cells upregulated the expression of MHC class molecules, driving a potent anti-leukemia response. When the <italic>RUNX1-RUNX1T1</italic> fusion gene is present, the expression levels of H2-Db and H2-Kb of MHC class I molecules are also significantly increased (<xref ref-type="bibr" rid="B89">89</xref>). Compared with the normal control group, the proportion of CD4+ T cells in the mutant group of mice was significantly reduced and the proportion of CD8+ T cells was significantly increased, indicating that the adaptive immune response was activated. However, expression levels of the <italic>PD-1</italic> gene were increased in T cells, suggesting that <italic>NRAS^G12D</italic> AML cells evade immune surveillance by activating and depleting T cells. When T cells express inhibitory receptors and enter a state of exhaustion, disease is more likely to develop. <italic>NRAS</italic>^G12D AML, which is highly immunogenic, exhibits immunoediting in mice and upregulates PD-L1 expression. In mutation models, anti-PD-1 treatment has limited effect on relieving T cell suppression and the recovery of anti-leukemia immune responses is also limited, suggesting that <italic>NRAS</italic> mutant AML evades immune system surveillance through multiple mechanisms (<xref ref-type="bibr" rid="B89">89</xref>). When <italic>NRAS</italic> and <italic>ASXL1</italic> are double mutated, AML cells also hyperactivate the MEK/ERK/AP-1 signaling pathway, leading to the upregulation of AP-1-related genes and inhibitory immune checkpoint ligands PD-L2, CD80, CD86, and CD155. This further inhibits the anti-leukemia activity of CD8+ T cells, NK cells and &#x3b3;&#x3b4; T cells (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>In summary, various driver gene mutations in AML regulate the immune microenvironment through multiple mechanisms (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). These mutations can either promote specific immune responses or lead to immune escape and immunosuppression, thereby influencing disease progression and prognosis. A thorough investigation of the relationship between these gene mutations and immune responses will enhance our understanding of the dynamic changes within the AML TME. This understanding provides a theoretical foundation for elucidating the mechanisms of immune escape and developing precise treatment strategies for the disease.</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Immune microenvironment and genetic risk stratification</title>
<p>The TME comprises a diverse array of cellular components (<xref ref-type="bibr" rid="B90">90</xref>) and plays a well-established role in supporting tumor survival and progression across both solid and hematological malignancies (<xref ref-type="bibr" rid="B91">91</xref>). In AML, the TME exhibits a dual role: while it fosters leukemogenesis, it may also limit the expansion of malignant clones and contribute to their immune-mediated clearance (<xref ref-type="bibr" rid="B92">92</xref>). Within this context, the immune microenvironment of AML is highly complex and heterogeneous. Interactions between leukemic cells and immune components are central to disease initiation, progression, immune escape, and therapeutic resistance.</p>
<p>Recent transcriptomic analyses, such as those using TCGA-LAML data, have revealed distinct immune signatures across cytogenetic risk categories (<xref ref-type="bibr" rid="B93">93</xref>). To further investigate this, we examined immune microenvironmental profiles based on ELN 2022 (<xref ref-type="bibr" rid="B31">31</xref>) and 2024 (<xref ref-type="bibr" rid="B32">32</xref>) genetic risk stratifications. According to these guidelines, mutations in <italic>NPM1</italic> and <italic>IDH2 R140</italic> are categorized as low risk; <italic>FLT3-ITD</italic>, <italic>NRAS</italic>, and <italic>DNMT3A</italic> as intermediate risk; and <italic>TP53</italic> and <italic>IDH2 R172</italic> as high risk. Our synthesis suggests that AML patients exhibit markedly different immune landscapes depending on their genetic risk category. Patients with low-risk mutations tend to have immunologically active environments, characterized by elevated effector T cell infiltration, increased pro-inflammatory cytokines, robust antigen presentation, and reduced expression of inhibitory checkpoint molecules (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B94">94</xref>&#x2013;<xref ref-type="bibr" rid="B96">96</xref>). In contrast, high-risk mutation profiles are associated with suppressed T cell activity, impaired antigen presentation, an abundance of T<sub>regs</sub>, and increased levels of immunosuppressive cytokines (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>). Intermediate-risk groups appear to exhibit a transitional immune state with both pro-inflammatory and immunosuppressive features, reflecting a dynamic equilibrium. These observations are well illustrated in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The figure illustrates the dynamics of immune cell infiltration across different risk stratifications in AML patients. As the risk level increases, activated T cells, M1 macrophages, and cytotoxic molecules such as perforin and granzyme B gradually decline, whereas exhausted T cells, Tregs, M2 macrophages, and anti-inflammatory cytokines progressively increase. Low-risk patients exhibit robust anti-tumor immune activity, while high-risk patients are characterized by a markedly immunosuppressive microenvironment. NK Cell, Natural Killer Cell; TAMs, tumor-associated macrophages; Th1, T-helper 1 Cell.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1635111-g005.tif">
<alt-text content-type="machine-generated">Diagram illustrating immune cell composition and risk levels in three categories: Low Risk, Intermediate Risk, and High Risk. Each category shows different immune cells such as activated CD4+ T cells, activated CD8+ T cells, Tregs, NK cells, M1 macrophages, TAMs, exhausted CD8+ T cells, and dysfunctional Th1 cells. Below, graphs display trends for activated T cells, exhausted T cells, Tregs, M1 and M2 macrophages, anti-inflammatory cytokines, and perforin and granzyme B, indicating varying levels across risk categories.</alt-text>
</graphic>
</fig>
<p>While these trends are compelling, several limitations warrant consideration. Many referenced studies rely on bulk transcriptomic data or immune deconvolution algorithms, which may not accurately capture the spatial and functional heterogeneity of immune cells in the AML microenvironment. Moreover, although immune activation is generally associated with favorable prognosis, the clinical significance of certain immune signatures&#x2014;particularly in high-risk subtypes&#x2014;remains controversial. Some studies have reported paradoxical findings, such as activated T cell phenotypes coexisting with immune dysfunction in high-risk groups (<xref ref-type="bibr" rid="B97">97</xref>). Additionally, immune infiltration is modulated by variables such as clonal hematopoiesis (<xref ref-type="bibr" rid="B98">98</xref>), treatment history (<xref ref-type="bibr" rid="B99">99</xref>), and the bone marrow niche (<xref ref-type="bibr" rid="B100">100</xref>), complicating its prognostic interpretation. Future studies incorporating single-cell and spatial transcriptomics, functional assays, and longitudinal immune profiling will be essential to disentangle the complex relationships between genetic mutations, immune remodeling, and patient outcomes in AML. While our review attempts to summarize and synthesize the current understanding, we acknowledge the rapidly evolving nature of this field and the need for continued critical evaluation of emerging evidence.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Future developments: immunotherapy strategies targeting neoepitopes</title>
<p>In recent years, the therapeutic landscape of AML has evolved beyond conventional intensive chemotherapy, driven by the urgent need to address high relapse rates and poor long-term survival (<xref ref-type="bibr" rid="B101">101</xref>), particularly in older patients and those with comorbidities (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B103">103</xref>). Despite initial responses, even MRD-negative patients remain at substantial risk of relapse within three years, with rates approaching 70&#x2013;80% (<xref ref-type="bibr" rid="B104">104</xref>). While targeted therapies such as <italic>FLT3</italic> inhibitors, such as midostaurin and gilteritinib (<xref ref-type="bibr" rid="B105">105</xref>&#x2013;<xref ref-type="bibr" rid="B107">107</xref>), and <italic>IDH</italic> inhibitors have improved survival in molecularly defined subgroups (<xref ref-type="bibr" rid="B108">108</xref>), their durability is limited. Resistance mechanisms&#x2014;including secondary kinase domain mutations and bypass signaling activation&#x2014;commonly emerge, often without significantly altering the immunosuppressive TME (<xref ref-type="bibr" rid="B108">108</xref>). Immunotherapy has revolutionized the treatment of several hematologic malignancies, yet its impact in AML has remained modest (<xref ref-type="bibr" rid="B109">109</xref>). One of the key challenges is the lack of leukemia-specific antigens that distinguish malignant from normal hematopoietic cells, thereby increasing the risk of off-tumor toxicity (<xref ref-type="bibr" rid="B101">101</xref>). Furthermore, AML is characterized by profound immune evasion strategies. As such, most current immunotherapeutic strategies benefit only a subset of patients, and their effectiveness is constrained by the highly suppressive immune milieu.</p>
<p>With advances in genomic profiling, driver mutations in AML have emerged not only as prognostic markers but also as potential sources of neoepitopes. These mutant-derived peptides, absent in healthy cells, can be presented via MHC molecules and recognized by T cells (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B110">110</xref>), rendering them attractive targets for precision immunotherapy (<xref ref-type="bibr" rid="B111">111</xref>). Notably, AML harbors a high frequency of insertion/deletion (indel) mutations, which generate disproportionately more high-affinity neoepitopes compared to single nucleotide variants or gene fusions (<xref ref-type="bibr" rid="B101">101</xref>). Among the most extensively studied neoepitopes are those derived from <italic>NPM1</italic> mutations. AIQ-specific CD8+ T cells have shown cytotoxic activity and correlate with improved survival, suggesting potential for adoptive T cell therapy (<xref ref-type="bibr" rid="B112">112</xref>, <xref ref-type="bibr" rid="B113">113</xref>). While <italic>NPM1</italic>-derived peptides can stimulate immune responses in preclinical models and relapse settings, tumor-driven HLA loss and immune editing may limit long-term effectiveness. Furthermore, studies remain inconsistent regarding the frequency and robustness of these responses across patient subgroups, highlighting the need for standardized immunomonitoring. Similarly, <italic>FLT3-ITD</italic> mutations, which are present in both leukemic blasts and stem cells, generate neoepitopes such as the YVD/A1 peptide (<xref ref-type="bibr" rid="B114">114</xref>). TCR-engineered T cells targeting <italic>FLT3D835Y</italic> have demonstrated specificity and efficacy in preclinical settings (<xref ref-type="bibr" rid="B115">115</xref>). However, the heterogeneity in <italic>ITD</italic> insertion sites and lengths raises concerns regarding peptide variability and inconsistent T cell responses across patients (<xref ref-type="bibr" rid="B116">116</xref>). Moreover, while the immunogenicity of some FLT3-derived peptides is promising (<xref ref-type="bibr" rid="B115">115</xref>), their therapeutic potential has yet to be validated in clinical trials. Neoepitopes from <italic>DNMT3A R882H</italic> and <italic>IDH2 R140Q</italic> mutations have also been identified, capable of binding to HLA-A01:01 and HLA-B07:02 respectively (<xref ref-type="bibr" rid="B111">111</xref>). These peptides have been shown to elicit memory T cell responses, although supporting evidence in clinical or <italic>in vivo</italic> contexts remains limited. For example, 2-HG, a metabolite produced by mutant <italic>IDH</italic> enzymes, suppresses T cell activation, complicating efforts to harness these neoepitopes for therapy (<xref ref-type="bibr" rid="B117">117</xref>). Likewise, while <italic>TP53</italic> mutations are associated with immunosuppressive TME (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B119">119</xref>), few studies have successfully identified immunogenic peptides from <italic>TP53</italic> variants with therapeutic applicability.</p>
<p>However, a higher neoepitope burden may not translate into improved immunogenicity or therapeutic responsiveness. In contrast to observations in solid tumors, where high neoantigen load often correlates with better immune activation, AML appears to exhibit the opposite trend: chronic exposure to neoantigens may promote T cell exhaustion and immune tolerance, thereby impairing effective antitumor immunity (<xref ref-type="bibr" rid="B101">101</xref>). Additionally, neoantigen heterogeneity and clonal evolution further complicate therapeutic targeting, as subclonal neoepitopes may be poorly presented or lack broad applicability (<xref ref-type="bibr" rid="B101">101</xref>). These findings underscore the need for caution when interpreting neoepitope quantity as a surrogate for immunotherapeutic potential. Neoepitope-targeted strategies in AML must be carefully integrated into comprehensive therapeutic approaches that also address the profoundly immunosuppressive tumor microenvironment and the dynamic nature of leukemic clonal architecture.</p>
<p>For patients in remission or with low disease burden, neoepitope-based vaccines or adoptive T cell therapies may offer an opportunity to eliminate MRD and prolong survival. Nonetheless, monotherapy approaches targeting neoantigens are unlikely to suffice. Combination strategies&#x2014;pairing neoepitope-based interventions with checkpoint blockade, metabolic modulators, or cytokine support&#x2014;will likely be necessary to overcome the barriers imposed by the AML TME. In conclusion, while neoepitope-targeted immunotherapy represents a conceptually appealing avenue for AML treatment, its translation into clinical practice is fraught with challenges. A balanced assessment must recognize both its potential and its limitations. Future studies should prioritize rigorous validation of immunogenic peptides, explore inter-patient variability, and incorporate strategies to overcome T cell exhaustion and antigenic heterogeneity. Only through such integrative approaches can the promise of personalized immunotherapy in AML be fully realized.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusions</title>
<p>This review underscores the multifaceted complexity of the immune microenvironment in AML, highlighting its dynamic and heterogeneous nature across genetic and clinical contexts. Genetic mutations in AML not only alter the intrinsic behavior of leukemic cells but also remodel the surrounding immune milieu&#x2014;affecting immune cell infiltration, polarization, and effector function. These alterations underlie diverse immune evasion mechanisms that contribute to immunosuppression, disease progression, and treatment resistance. Importantly, these immunologic changes are not uniform but vary significantly across ELN-defined genetic risk categories, with low-risk mutations often associated with more immunologically active profiles, and high-risk mutations linked to profound immune dysfunction. This suggests that effective therapeutic strategies must account for both genetic and immune stratification. While traditional chemotherapy remains the cornerstone of AML treatment, its efficacy is limited, particularly in patients harboring high-risk molecular lesions. Recent progress in targeted therapies and immunotherapies&#x2014;especially those directed against neoepitopes derived from AML driver mutations&#x2014;has provided new hope for achieving disease control. However, multiple barriers remain, including immune exhaustion, neoepitope heterogeneity, and the deeply immunosuppressive bone marrow microenvironment. Future research should therefore prioritize the development of integrative treatment strategies that not only target specific genetic lesions but also modulate the immune contexture. Combining neoepitope-based interventions with immune checkpoint blockade, T cell engineering, or microenvironment-modulating agents may help overcome resistance and enhance long-term therapeutic responses. Ultimately, the advancement of personalized immunotherapy&#x2014;guided by both molecular and immunologic profiling&#x2014;holds the greatest promise for improving outcomes in AML.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XG: Writing &#x2013; original draft. HZ: Writing &#x2013; review &amp; editing. XW: Writing &#x2013; review &amp; editing. LL: Writing &#x2013; review &amp; editing. LZ: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This research was funded by the National Natural Science Foundation of China, grant number 82360029; Gansu Province Graduate Student Innovation Star Program, grant numbers 2025CXZX-211 and 2025CXZX-213; and Gansu Province Key Research and Development Program, grant number 24YFFA046.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Thank you to Figdraw 2.0 for providing the drawing materials (ID: <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>: PRURA75ea8; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>: RUUTUbad15; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>: TTYOY6cee3; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>: IWYPI4da4d; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>: TWAOS92330).</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1635111/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1635111/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
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