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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Hepatoma Res.</journal-id>
      <journal-id journal-id-type="publisher-id">HR</journal-id>
      <journal-title-group>
        <journal-title>Hepatoma Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2454-2520</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/2394-5079.2025.105</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Impact of metabolic reprogramming on the immune response in hepatocellular carcinoma</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Yang</given-names>
          </name>
          <contrib-id contrib-id-type="orcid">https://orcid.org/0009-0004-8570-5380</contrib-id>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lu</surname>
            <given-names>Yi-Jun</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Zhou</surname>
            <given-names>Jian</given-names>
          </name>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Yang</surname>
            <given-names>Xin-Rong</given-names>
          </name>
          <xref ref-type="corresp" rid="cor1" />
        </contrib>
      </contrib-group>
      <aff id="I">Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Zhongshan Hospital, Fudan University, Shanghai 200032, China.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Prof. Xin-Rong Yang, Prof. Jian Zhou, Department of Hepatobiliary Surgery and Liver Transplantation, Liver Cancer Institute and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Zhongshan Hospital, Fudan University, Shanghai 200032, China. E-mail: <email>yang.xinrong@zs-hospital.sh.cn</email>; <email>zhou.jian@zs-hospital.sh.cn</email></corresp>
        <fn fn-type="other">
          <p>
            <bold>Received:</bold> 27 Nov 2025 | <bold>First Decision:</bold> 20 Jan 2026 | <bold>Revised:</bold> 5 Mar 2026 | <bold>Accepted:</bold> 25 Mar 2026 | <bold>Published:</bold> 1 Jun 2026</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Academic Editor:</bold> Fu Yang | <bold>Copy Editor:</bold> Ting-Ting Hu | <bold>Production Editor:</bold> Ting-Ting Hu</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>1</day>
        <month>6</month>
        <year>2026</year>
      </pub-date>
      <volume>12</volume>
	  <elocation-id>21</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026. <bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Hepatocellular carcinoma (HCC) is a highly lethal malignancy worldwide and is characterized by a low rate of early detection. In recent years, immune checkpoint inhibitors (ICIs) have been increasingly incorporated into the management of advanced HCC. However, overall response rates remain modest, indicating that immune checkpoint blockade alone is insufficient to overcome the intrinsic immunosuppressive state of HCC. Advances in metabolomics have provided new insights into early detection and therapeutic response evaluation in HCC and have underscored the functional significance of tumor metabolism in disease progression. The metabolic landscape of the HCC tumor microenvironment is predominantly shaped by alterations in glucose, lipid, and amino acid metabolism. These pathways not only support tumor cell energy production and biosynthetic demands but also reprogram local nutrient availability and metabolite composition, thereby continuously reshaping the immune milieu. This metabolic remodeling impairs effector immune cell function and facilitates the establishment and maintenance of immunosuppressive cell populations. Accordingly, this review summarizes the role of metabolic reprogramming in tumor immune regulation during HCC development, with a focus on the heterogeneity of metabolic reprogramming and immune regulation across distinct etiological backgrounds. Systematic elucidation of immunometabolic crosstalk may enhance the precision and translational potential of combination therapeutic strategies.</p>
      </abstract>
      <kwd-group>
        <kwd>Hepatocellular carcinoma</kwd>
        <kwd>metabolic reprogramming</kwd>
        <kwd>tumor microenvironment</kwd>
        <kwd>glucose metabolism</kwd>
        <kwd>lipid metabolism</kwd>
        <kwd>amino acid metabolism</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Primary liver cancer is the sixth most frequently diagnosed malignancy worldwide and the third leading cause of cancer-related mortality<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup>. Hepatocellular carcinoma (HCC), the predominant histological subtype, typically has an insidious onset and progresses rapidly. As a result, nearly half of patients are no longer candidates for curative therapy at diagnosis and therefore require systemic targeted therapy<sup>[<xref ref-type="bibr" rid="B2">2</xref>]</sup>. However, the liver’s immunotolerant microenvironment substantially limits the therapeutic efficacy of targeted agents<sup>[<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref>]</sup>. In recent years, immune checkpoint inhibitors (ICIs) have emerged as an important therapeutic option for advanced HCC<sup>[<xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref>]</sup>. Even so, overall response rates remain modest and are often accompanied by primary or acquired resistance, a lack of robust predictive biomarkers, and immune-related adverse events. Increasing evidence indicates that metabolic reprogramming within the tumor microenvironment (TME) plays a pivotal role in immune evasion and immunotherapy resistance in HCC<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup>. HCC cells commonly exhibit aberrant activation of glucose, lipid, and amino acid metabolic pathways<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup>. Glucose metabolic reprogramming, characterized by preferential glucose utilization by tumor cells and lactate accumulation, compromises the metabolic fitness of effector immune cells and acts in concert with multiple immunosuppressive signaling pathways. Dysregulated lipid metabolism further shapes a lipid-rich TME, rendering effector T (Teff) cells more susceptible to functional impairment while conferring a relative metabolic advantage on immunosuppressive cell populations. In parallel, altered amino acid metabolism reinforces immunosuppressive programs and restricts the plasticity of antitumor immune responses by modulating the availability of key nutrients and downstream signaling networks. Collectively, coordinated remodeling of glucose, lipid, and amino acid metabolism helps maintain a dynamic equilibrium within the TME. Disruption of this equilibrium provides a fundamental metabolic basis for immune evasion and immunotherapy resistance in HCC. Accordingly, this review focuses on the mechanistic roles of glucose, lipid, and amino acid metabolism in TME regulation, with the aim of elucidating the metabolic basis of HCC initiation and progression and providing a conceptual framework for optimizing immunotherapeutic strategies.</p>
    </sec>
    <sec id="sec2">
      <title>IMPACT OF GLUCOSE METABOLIC REPROGRAMMING ON THE IMMUNE RESPONSE IN HCC</title>
      <p>Glucose is the primary energy source for cellular activities and organismal development, and glucose metabolism provides essential precursors for macromolecular biosynthesis<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup>. During HCC initiation and progression, tumor cells reprogram glucose metabolism to meet their metabolic demands. In addition to supporting tumor cell growth, glucose metabolic reprogramming reshapes the immunometabolic landscape of the TME, thereby impairing antitumor immune responses [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. Accordingly, aberrant glucose metabolism has emerged as a critical metabolic basis for immune evasion in HCC, and its role in TME regulation warrants particular attention.</p>
      <fig id="fig1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Impact of glucose metabolic reprogramming on the immune response in hepatocellular carcinoma. Sharp arrows denote positive regulation, whereas blunt arrows denote negative regulation. Upward symbols represent upregulation, whereas downward symbols represent downregulation. Major actionable targets are indicated by distinct geometric symbols: triangles represent metabolic enzymes, circles represent transporters, stars represent kinases, and pentagons represent immune checkpoint proteins. AMPK: AMP-activated protein kinase; GLUT1: glucose transporter 1; HK2: hexokinase 2; LDHA: lactate dehydrogenase A; MCT1: monocarboxylate transporter 1; MCT4: monocarboxylate transporter 4; mTOR: mechanistic target of rapamycin; mTORC1: mechanistic target of rapamycin complex 1; PD-1: programmed cell death protein-1; PD-L1: programmed cell death-ligand 1; PKM2: pyruvate kinase M2.</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr110105.fig.1.jpg" />
      </fig>
      <sec id="sec2-1">
        <title>Dysregulated glucose metabolism impairs immune responses in HCC</title>
        <p>Glucose metabolic reprogramming in HCC is characterized by the Warburg effect, in which glycolysis remains the predominant pathway supporting bioenergetic and biosynthetic demands even under aerobic conditions<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup>. This metabolic shift is mediated by coordinated mechanisms, including upregulation of glucose transporter 1 (GLUT1) to increase glucose uptake, ectopic expression and activation of hexokinase 2 (HK2) in place of the physiological isoform HK4 to enhance glucose phosphorylation efficiency, and elevated expression of pyruvate kinase M2 (PKM2) to augment glycolytic flux<sup>[<xref ref-type="bibr" rid="B11">11</xref>,<xref ref-type="bibr" rid="B12">12</xref>]</sup>. These alterations are driven by aberrant activation of the Wnt/β-catenin and PI3K/AKT/mTOR signaling pathways and are further reinforced under hypoxia through hypoxia-inducible factor-1 alpha (HIF-1α)-mediated responses<sup>[<xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref>]</sup>. Collectively, these changes establish a metabolic program that supports rapid tumor cell proliferation and metabolic flexibility. A major immunosuppressive consequence of the Warburg effect is glucose competition, which represents a central mechanism of immune evasion in HCC. Preferential glucose uptake by tumor cells markedly limits energy availability to CD8<sup>+</sup> T cells and suppresses their effector functions, including immunological synapse formation, target cell killing, and clonal expansion<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup>. This suppression occurs because T cell activation depends on the glycolytic intermediate phosphoenolpyruvate to sustain the T cell receptor (TCR)-mediated Ca<sup>2+</sup>/nuclear factor of activated T cells (NFAT) axis<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>. Glucose deprivation disrupts NFAT nuclear translocation and subsequent transcription of effector genes. Restoring glucose metabolic balance has been shown to enhance antitumor immune responses. For example, interferon-alpha (IFN-α) suppresses HIF-1α-driven glycolysis within the TME, thereby activating the mTOR/forkhead box M1 (FOXM1) axis in CD8<sup>+</sup> T cells and upregulating CD27 expression, ultimately sensitizing HCC to ICIs<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. Similarly, inhibition of the deubiquitinase USP14, which stabilizes GLUT1 and promotes glucose uptake, represents a promising strategy to potentiate immunotherapy<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup>. Under metabolic stress or glucose scarcity, levels of the glycolytic intermediate fructose-1,6-bisphosphate (FBP) decline markedly, leading to activation of AMP-activated protein kinase (AMPK) signaling<sup>[<xref ref-type="bibr" rid="B19">19</xref>,<xref ref-type="bibr" rid="B20">20</xref>]</sup>. AMPK activation induces dissociation of mechanistic target of rapamycin complex 1 (mTORC1) from the lysosome and subsequent inactivation, thereby impairing the anabolic metabolism required for cytotoxic CD8<sup>+</sup> T cells and dendritic cells (DCs) to sustain immune effector functions and antigen presentation. Consequently, precise modulation of the AMPK/mTORC1 signaling pathway may represent an important strategy to restore immunometabolic balance and improve immunotherapeutic responsiveness in HCC. In addition, dysregulated glucose metabolism modulates immune checkpoint signaling and reinforces the immunosuppressive TME. Sorafenib-resistant HCC cells exhibit enhanced glycolysis through mTOR signaling, accompanied by upregulation of programmed cell death-ligand 1 (PD-L1) expression<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup>. Pharmacological inhibition of mTOR activation with rapamycin restores autophagic activity and downregulates PD-L1 expression, providing a rationale for dual targeting of metabolic pathways and immune checkpoints in drug-resistant HCC. Similarly, hyaluronan fragments derived from HCC cells induce tumor-associated macrophages (TAMs) to upregulate 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), a rate-limiting glycolytic enzyme, thereby activating nuclear factor-kappa B (NF-κB) signaling and PD-L1 expression and generating a localized immune-privileged niche<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>. PD-L1 signaling further promotes the immunosuppressive polarization of TAMs and amplifies immune evasion<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>. Notably, immune checkpoint molecules can reciprocally regulate metabolic activity in immune cells. Upregulation of programmed cell death protein-1 (PD-1) and cytotoxic T lymphocyte antigen-4 (CTLA-4) cooperatively suppresses glycolysis in Teff cells, whereas PD-1 also enhances fatty acid oxidation (FAO) and lipolysis<sup>[<xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B25">25</xref>]</sup>. This metabolic reprogramming limits Teff cell function and exacerbates the effects of metabolic competition. Comparable mechanisms have been observed in tumor-infiltrating natural killer (NK) cells in HCC, indicating that coordinated dysregulation of glucose metabolism and immune checkpoint signaling sustains an immunoevasive microenvironment across multiple immune cell types<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup>.</p>
      </sec>
      <sec id="sec2-2">
        <title>Dysregulated lactate metabolism impairs immune responses in HCC</title>
        <p>In HCC, the Warburg effect drives excessive lactate production. Lactate is actively exported from tumor cells via monocarboxylate transporter 4 (MCT4), leading to markedly elevated extracellular lactate concentrations within the TME, which often reach 30-40 mM<sup>[<xref ref-type="bibr" rid="B27">27</xref>,<xref ref-type="bibr" rid="B28">28</xref>]</sup>. Sustained lactate accumulation causes pronounced acidification of the TME and disrupts extracellular matrix architecture. These changes promote tumor cell migration and proliferation, induce angiogenesis, and enhance drug efflux and therapeutic tolerance. Importantly, lactate accumulation also interferes with antitumor immune responses through multiple mechanisms, thereby promoting HCC progression. Elevated lactate levels suppress the effector function of immune cells within the TME. High lactate concentrations markedly inhibit the proliferation, cytokine secretion, and cytotoxic activity of CD8<sup>+</sup> T cells<sup>[<xref ref-type="bibr" rid="B29">29</xref>,<xref ref-type="bibr" rid="B30">30</xref>]</sup>. Mechanistically, lactate uptake via MCT1 induces intracellular acidification and disrupts nicotinamide adenine dinucleotide (NAD<sup>+</sup>/NADH) redox homeostasis, thereby inhibiting key glycolytic enzymes, including GAPDH and PGDH. In addition, lactate-driven histone histone H3 lysine 18 (H3K18) lactylation promotes the expression of major vault protein (MVP), which competitively inhibits β-transducin repeat-containing protein (β-TRCP)-mediated ubiquitination and degradation of PD-L1, further weakening the antitumor activity of Teff cells<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup>. Accumulating evidence indicates that excessive lactate is a critical driver of T cell exhaustion in HCC<sup>[<xref ref-type="bibr" rid="B32">32</xref>]</sup>. Notably, lower lactate concentrations may partially restore Teff cell function, suggesting potential avenues for metabolic modulation of antitumor immunity<sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup>. Beyond T cells, lactate downregulates the activating receptor NKp46 on NK cells and reduces the production of IFN-γ, perforin, and granzyme B<sup>[<xref ref-type="bibr" rid="B34">34</xref>]</sup>. DCs are also affected, as lactate impairs their maturation and activation, thereby limiting the expression of costimulatory molecules and proinflammatory cytokines<sup>[<xref ref-type="bibr" rid="B35">35</xref>]</sup>. Accordingly, targeting lactate metabolism is emerging as an important strategy to alleviate effector immune cell suppression in HCC<sup>[<xref ref-type="bibr" rid="B36">36</xref>]</sup>. Lactate accumulation also facilitates protumor immune functions within the TME. Regulatory T (Treg) cells exhibit pronounced metabolic plasticity and preferentially adopt a lactate-fueled metabolic program by downregulating glucose uptake, upregulating MCT1-mediated lactate transport, and enhancing lactate dehydrogenase A (LDHA) activity<sup>[<xref ref-type="bibr" rid="B37">37</xref>]</sup>. These lactate-adapted Treg cells display enhanced immunosuppressive capacity. Moreover, lactate-induced lactylation of K72 on membrane-organizing extension spike protein (Moesin) activates downstream SMAD family member 3 (SMAD3) signaling, thereby promoting FOXP3 expression and stabilizing the immunosuppressive Treg cell phenotype<sup>[<xref ref-type="bibr" rid="B38">38</xref>]</sup>. In TAMs, lactate promotes polarization toward the M2 phenotype through HIF-1α signaling, accompanied by upregulation of vascular endothelial growth factor (VEGF), arginase 1 (ARG1), and interleukin-10 (IL-10)<sup>[<xref ref-type="bibr" rid="B39">39</xref>]</sup>. In addition, histone H3K18 lactylation enhances the expression of nuclear protein 1 (NUPR1), which sustains the M2 phenotype by suppressing ERK and JNK signaling pathways and ultimately exacerbates CD8<sup>+</sup> T cell exhaustion<sup>[<xref ref-type="bibr" rid="B40">40</xref>]</sup>. Interestingly, the gut-derived metabolite D-lactate has been implicated in driving TAM repolarization toward a proinflammatory M1 phenotype<sup>[<xref ref-type="bibr" rid="B41">41</xref>]</sup>. However, whether D-lactate contributes to hepatic immune modulation via the portal circulation remains to be elucidated.</p>
      </sec>
      <sec id="sec2-3">
        <title>Etiology-associated heterogeneity of glucose metabolic reprogramming and immune regulation in HCC</title>
        <p>HCC shows etiology-associated heterogeneity in glucose metabolic reprogramming. In virus-related HCC, viral proteins directly enhance key glycolytic nodes, thereby promoting a shift toward a Warburg phenotype. Both hepatitis B virus (HBV)- and HCV-related HCC exhibit markedly increased HK2 activity. In HBV-related HCC, this increase is driven by hepatitis B virus X protein (HBx)-mediated activation of the NF-κB p65/HK2 axis. In HCV-related HCC, it arises from a direct interaction between HCV nonstructural protein 5A (NS5A) and HK2<sup>[<xref ref-type="bibr" rid="B42">42</xref>,<xref ref-type="bibr" rid="B43">43</xref>]</sup>. In addition, HBV pre-S2 deletion mutants activate the mTOR signaling cascade, thereby upregulating GLUT1 expression<sup>[<xref ref-type="bibr" rid="B44">44</xref>]</sup>. These mechanisms may help explain the convergence between HBV- and HCV-related HCC in the transcriptomic landscape and immune profiles<sup>[<xref ref-type="bibr" rid="B45">45</xref>]</sup>. Notably, the higher prevalence of β-catenin mutations in HCV-related HCC predisposes tumor cells to a hepatocyte-like subtype characterized by reduced glycolysis and enhanced FAO<sup>[<xref ref-type="bibr" rid="B46">46</xref>,<xref ref-type="bibr" rid="B47">47</xref>]</sup>. This metabolic shift is typically accompanied by downregulation of chemokine expression, impaired DC recruitment, and reduced CD8<sup>+</sup> T cell infiltration, resulting in an immune-excluded TME<sup>[<xref ref-type="bibr" rid="B48">48</xref>]</sup>. By contrast, HBV-related HCC more commonly shows preserved immune cell infiltration with functional suppression, whereas HCV-related HCC exhibits more pronounced metabolic and immunological stratification<sup>[<xref ref-type="bibr" rid="B49">49</xref>]</sup>. In alcohol-related HCC, the association between β-catenin mutation and an immune-excluded phenotype appears more prominent, while the immunosuppressive effects mediated by dysregulated glucose metabolism are comparatively attenuated<sup>[<xref ref-type="bibr" rid="B50">50</xref>]</sup>. In metabolic dysfunction-associated steatotic liver disease (MASLD)/metabolic dysfunction-associated steatohepatitis (MASH)-related HCC, metabolic reprogramming preferentially involves aberrant activation of lactate metabolism. Elevated expression of GLUT1 and MCT4 correlates with increased tumor invasiveness and adverse clinical outcomes, although the upstream regulatory mechanisms remain incompletely defined<sup>[<xref ref-type="bibr" rid="B51">51</xref>]</sup>. Compared with virus-related HCC, MASLD/MASH-related HCC may be enriched for specific nonviral driver genetic events. For example, activin A receptor type 2A (ACVR2A) loss occurs more frequently in MASLD/MASH-related HCC and enhances lactate production and efflux through suppression of SMAD signaling, followed by upregulation of LDHA and MCT4<sup>[<xref ref-type="bibr" rid="B52">52</xref>]</sup>. Furthermore, MASH-related HCC more readily establishes a specialized spatial interaction network among TAMs, MDSCs, and CD8<sup>+</sup> T cells, suggesting that myeloid cell-mediated TME remodeling constitutes a principal mechanism of immune suppression<sup>[<xref ref-type="bibr" rid="B53">53</xref>]</sup>. Given the limited benefit of ICIs in MASH-related HCC, therapeutic strategies aimed at dismantling myeloid cell-driven spatial immune sequestration may be critical for enhancing immunotherapeutic responsiveness<sup>[<xref ref-type="bibr" rid="B54">54</xref>]</sup>.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>IMPACT OF LIPID METABOLIC REPROGRAMMING ON THE IMMUNE RESPONSE IN HCC</title>
      <p>Lipids serve not only as fundamental energy sources and structural components of cellular membranes but also as key signaling mediators that regulate cell growth, apoptosis, and immune responses<sup>[<xref ref-type="bibr" rid="B55">55</xref>]</sup>. In HCC, lipid metabolic dysregulation associated with metabolic reprogramming profoundly reshapes energy allocation and immune architecture within the TME, thereby promoting immune evasion [<xref ref-type="fig" rid="fig2">Figure 2</xref>].</p>
      <fig id="fig2" position="float">
        <label>Figure 2</label>
        <caption>
          <p>Impact of lipid metabolic reprogramming on the immune response in HCC. Sharp arrows denote positive regulation, whereas blunt arrows denote negative regulation. Upward symbols represent upregulation, whereas downward symbols represent downregulation. Major actionable targets are indicated by distinct geometric symbols: triangles represent metabolic enzymes, circles represent transporters, and squares represent transcription factors. ACC: Acetyl-CoA carboxylase; ACLY: ATP citrate lyase; CD36: cluster of differentiation 36; CPT1A: carnitine palmitoyltransferase 1A; FASN: fatty acid synthase; FATP4: fatty acid transport protein 4; HMGCR: 3-hydroxy-3-methylglutaryl-CoA reductase; PPARβ/δ: peroxisome proliferator-activated receptor β/δ; PPARγ: peroxisome proliferator-activated receptor γ; SOAT1: sterol O-acyltransferase 1; STAT3: signal transducer and activator of transcription 3.</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr110105.fig.2.jpg" />
      </fig>
      <sec id="sec3-1">
        <title>Dysregulated fatty acid metabolism impairs immune responses in HCC</title>
        <p>HCC cells undergo progressive metabolic reprogramming to establish a dynamically coordinated network of fatty acid synthesis (FAS), uptake, and oxidation<sup>[<xref ref-type="bibr" rid="B56">56</xref>]</sup>. This network is tightly regulated to meet the demands imposed by a hypoxic and nutrient-deprived TME. Enhanced <italic>de novo</italic> lipogenesis, driven by upregulation of ATP citrate lyase (ACLY), acetyl-CoA carboxylase (ACC), and fatty acid synthase (FASN), is regulated by the PI3K/AKT/mTORC1 signaling pathway through activation of sterol regulatory element-binding protein 1 (SREBP1)<sup>[<xref ref-type="bibr" rid="B57">57</xref>,<xref ref-type="bibr" rid="B58">58</xref>]</sup>. This regulatory circuitry enables tumor cells to preserve membrane integrity and sustain prosurvival signaling under metabolic stress. Concurrently, elevated expression of CD36 and fatty acid transport protein 4 (FATP4) enhances exogenous lipid uptake, thereby alleviating biosynthetic pressure while modulating membrane fluidity to promote tumor cell motility and invasiveness<sup>[<xref ref-type="bibr" rid="B59">59</xref>]</sup>. Carnitine palmitoyltransferase 1A (CPT1A) and CPT2 regulate energy production and lipid load balance by controlling FAO, a process critical for HCC proliferation, redox homeostasis, and metabolic adaptation<sup>[<xref ref-type="bibr" rid="B60">60</xref>,<xref ref-type="bibr" rid="B61">61</xref>]</sup>. As a consequence of increased lipid synthesis and catabolism in HCC cells and associated stromal compartments, together with chronic inflammation and hypoxia-driven lipid mobilization, the HCC TME becomes enriched in fatty acids<sup>[<xref ref-type="bibr" rid="B62">62</xref>]</sup>. Within this lipid-rich TME, CD8<sup>+</sup> T cells lack sufficient enzymatic capacity to efficiently catabolize excess fatty acids, leading to lipotoxic accumulation and subsequent functional exhaustion<sup>[<xref ref-type="bibr" rid="B63">63</xref>]</sup>. Notably, epigenetic silencing of the E3 ubiquitin ligase Riplet in HCC aberrantly enhances FAS in tumor cells, resulting in excessive palmitate production that drives terminal CD8<sup>+</sup> T cell exhaustion through signal transducer and activator of transcription 3 (STAT3) palmitoylation-dependent signaling<sup>[<xref ref-type="bibr" rid="B64">64</xref>]</sup>. Prolonged energy deprivation further induces metabolic reprogramming in CD8<sup>+</sup> T cells, characterized by increased CD36 expression and enhanced uptake of oxidized low-density lipoprotein (oxLDL). This process activates p38/CCAAT enhancer-binding protein β (CEBPβ) signaling, leading to upregulation of transferrin receptor 1 (TFR1), increased intracellular iron accumulation, and heightened oxidative stress. These changes culminate in lipid peroxidation and accelerated T cell dysfunction<sup>[<xref ref-type="bibr" rid="B65">65</xref>]</sup>. In parallel, the PD-1/STAT3 signaling pathway promotes FAO by upregulating CPT1A while suppressing glycolysis, thereby further weakening the antitumor activity of CD8<sup>+</sup> T cells<sup>[<xref ref-type="bibr" rid="B66">66</xref>]</sup>. Collectively, STAT3 represents a critical signaling node linking fatty acid metabolism to immunosuppression and constitutes a potential therapeutic target in HCC<sup>[<xref ref-type="bibr" rid="B67">67</xref>]</sup>. Compared with Teff cells, Treg cells exhibit greater metabolic plasticity and adaptability. In lipid-rich environments, tumor-infiltrating Treg cells markedly upregulate CD36, thereby enhancing fatty acid uptake and activating peroxisome proliferator-activated receptor β/δ (PPARβ/δ) signaling, which drives FAO and mitochondrial biogenesis<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup>. This metabolic reprogramming enables Treg cells to maintain energy homeostasis and immunosuppressive capacity within the lactate-rich and glucose-deprived microenvironment. Moreover, FOXP3 directly activates CD36 transcription, reinforcing this lipid-driven immunoregulatory phenotype and further impairing antitumor immunity<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>. Accumulating evidence supports CD36 as a promising therapeutic target for enhancing immunotherapeutic responsiveness in HCC<sup>[<xref ref-type="bibr" rid="B70">70</xref>]</sup>. Fatty acid metabolic remodeling in myeloid cells further contributes to immune evasion. In DCs, a lipid-rich environment promotes lipotoxic accumulation and markedly impairs antigen processing and cross-presentation<sup>[<xref ref-type="bibr" rid="B71">71</xref>]</sup>. Upregulation of scavenger receptor-A (SR-A) facilitates excessive lipid uptake and further dampens DC-mediated activation of adaptive immunity<sup>[<xref ref-type="bibr" rid="B72">72</xref>]</sup>. In TAMs, fatty acid-binding protein 1 (FABP1) is markedly upregulated during HCC progression and cooperates with PPARγ to activate CD36-dependent FAO, thereby metabolically supporting M2 polarization<sup>[<xref ref-type="bibr" rid="B73">73</xref>]</sup>. In late-stage tumors characterized by hypoxia and necrosis, HCC-derived exosomes deliver FABP5 to TAMs, thereby activating PPARγ and suppressing PPARα-mediated FAO. This metabolic shift favors lipid storage and lipid droplet accumulation, stabilizing the immunosuppressive M2 phenotype<sup>[<xref ref-type="bibr" rid="B74">74</xref>]</sup>. These findings indicate that FABP-mediated lipid metabolic plasticity dynamically regulates TAM polarization and immune evasion through spatiotemporally controlled mechanisms. In MDSCs, FAO flux is likewise markedly elevated, whereas genetic deletion of CD36 or pharmacological inhibition of STAT3 significantly attenuates their immunosuppressive activity<sup>[<xref ref-type="bibr" rid="B75">75</xref>]</sup>. Of particular clinical relevance, sorafenib, a frontline therapeutic for HCC, exhibits a nonclassical resistance mechanism by activating PPARα signaling and enhancing FAO flux in MDSCs<sup>[<xref ref-type="bibr" rid="B76">76</xref>]</sup>. This metabolic reprogramming not only drives the expression of immunosuppressive mediators but also impairs MDSC differentiation into macrophages, ultimately dampening antitumor immunity.</p>
      </sec>
      <sec id="sec3-2">
        <title>Dysregulated cholesterol metabolism impairs immune responses in HCC</title>
        <p>Aberrant cholesterol metabolism, particularly overactivation of <italic>de novo</italic> cholesterol biosynthesis, is a hallmark of HCC and contributes to enhanced lipid raft-associated signaling in tumor cell membranes<sup>[<xref ref-type="bibr" rid="B77">77</xref>,<xref ref-type="bibr" rid="B78">78</xref>]</sup>. Elevated expression of 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) promotes tumor proliferation by sustaining c-Myc and FOXM1 signaling, whereas persistent activation of SREBP2 facilitates epithelial-mesenchymal transition (EMT) and promotes immune evasion. Sustained activation of the cholesterol biosynthetic pathway concurrently suppresses cholesterol efflux, as reflected by impaired transcriptional activity of liver X receptors (LXRs) and marked downregulation of the downstream transporters ABCA1 and ABCG1<sup>[<xref ref-type="bibr" rid="B79">79</xref>,<xref ref-type="bibr" rid="B80">80</xref>]</sup>. This suppression disrupts intracellular cholesterol distribution and metabolic feedback regulation, establishing a self-reinforcing positive feedback loop that further amplifies cholesterol biosynthesis. In addition, cholesterol esterification mediated by sterol O-acyltransferase 1 (SOAT1) and intracellular redistribution driven by GRAM domain-containing protein 1A (GRAMD1A) exacerbate cholesterol retention and recirculation, ultimately promoting the formation of a cholesterol-rich TME<sup>[<xref ref-type="bibr" rid="B81">81</xref>,<xref ref-type="bibr" rid="B82">82</xref>]</sup>. Excessive cholesterol accumulation induces CD8<sup>+</sup> T cell exhaustion. Mechanistically, cholesterol overload disrupts lipid metabolic homeostasis in CD8<sup>+</sup> T cells, triggers endoplasmic reticulum (ER) stress, and activates the ER stress sensor XBP1<sup>[<xref ref-type="bibr" rid="B83">83</xref>]</sup>. XBP1 subsequently drives the expression of immunosuppressive receptors, including PD-1, TIM-3, and LAG-3, thereby impairing antitumor immunity. Conversely, pharmacological inhibition of SOAT1 to block cholesterol esterification increases free cholesterol in the plasma membrane, alleviates ER stress, enhances TCR signaling, and promotes immunological synapse formation, thereby markedly augmenting CD8<sup>+</sup> T cell cytotoxicity<sup>[<xref ref-type="bibr" rid="B84">84</xref>]</sup>. Unlike fatty acids, cholesterol often acts as a proinflammatory mediator in TAMs. Despite elevated systemic cholesterol levels in the HCC TME, intracellular cholesterol content in TAMs is markedly reduced<sup>[<xref ref-type="bibr" rid="B85">85</xref>,<xref ref-type="bibr" rid="B86">86</xref>]</sup>. This paradox largely reflects tumor-derived immunosuppressive signals that activate the LXRα/ABCA1 axis, thereby enhancing cholesterol efflux and disrupting intracellular cholesterol homeostasis. This metabolic reprogramming maintains TAMs in a low-cholesterol, semimature state characterized by impaired antigen-presenting capacity and a predominantly immunosuppressive phenotype. Notably, exogenous cholesterol can synergize with tumor-derived signals to further reinforce this immunosuppressive reprogramming. In MDSCs, although mechanistic studies remain limited, available evidence indicates that cholesterol homeostasis is a key determinant of immunosuppressive activity. Genetic ablation of cholesterol efflux-related genes attenuates immunosuppression<sup>[<xref ref-type="bibr" rid="B87">87</xref>]</sup>. Moreover, activation of LXRβ by LXR agonists upregulates apolipoprotein E (ApoE) and cholesterol efflux pathways, leading to dysregulated lipid efflux and induction of ApoE/low-density lipoprotein receptor-related protein 8 (LRP8)-dependent apoptosis in MDSCs, thereby restoring antitumor immunity<sup>[<xref ref-type="bibr" rid="B88">88</xref>,<xref ref-type="bibr" rid="B89">89</xref>]</sup>. Future studies should delineate the dynamic regulation of cholesterol homeostasis to enable precise modulation of the immunometabolic network in HCC. High-cholesterol conditions also promote pathological accumulation of oxysterols, which further reinforces the immunosuppressive milieu in HCC. Mechanistic studies indicate that accumulation of 25-hydroxycholesterol (25-HC) activates NF-κB and STAT3 signaling, increases FABP4 expression, and promotes matrix metalloproteinase (MMP) release, thereby enhancing tumor cell migration and invasiveness<sup>[<xref ref-type="bibr" rid="B90">90</xref>]</sup>. In addition, 27-HC activates LXR signaling to modulate inflammatory cytokine profiles in TAMs and lymphocytes, while concurrently triggering the NF-κB/Twist1 axis to induce EMT and potentiate immune evasion<sup>[<xref ref-type="bibr" rid="B91">91</xref>]</sup>.</p>
      </sec>
      <sec id="sec3-3">
        <title>Etiology-associated heterogeneity of lipid metabolic reprogramming and immune regulation in HCC</title>
        <p>Distinct etiological contexts engage different upstream regulatory networks, thereby shaping discrete lipid metabolic subtypes. MASLD/MASH is frequently accompanied by pathological lipid accumulation, which impairs mitochondrial function and activates cell death signaling pathways<sup>[<xref ref-type="bibr" rid="B92">92</xref>]</sup>. To adapt to lipotoxic stress, HCC cells downregulate CPT2 to suppress FAO, thereby attenuating Src/JNK-mediated apoptotic signaling and gaining a survival advantage<sup>[<xref ref-type="bibr" rid="B93">93</xref>]</sup>. Concurrently, oxLDL uptake induces lipophagy, reprograms intracellular lipid flux, and activates a yes-associated protein (YAP)-dependent proproliferative transcriptional program<sup>[<xref ref-type="bibr" rid="B94">94</xref>]</sup>. Upregulation of SOAT1 enhances cholesterol esterification and lipid droplet storage and, through SREBP2-mediated feedback regulation, remodels membrane cholesterol distribution, ultimately promoting EMT and metastasis<sup>[<xref ref-type="bibr" rid="B95">95</xref>]</sup>. Collectively, in MASLD/MASH-related HCC, lipid metabolic reprogramming may establish a positive feedback loop that shifts from metabolic adaptation to metabolic dependency, thereby facilitating lipid accumulation-associated immune evasion. Lipid-rich microenvironments induce chronic inflammation and drive aberrant immune activation, which exacerbates hepatic fibrosis and tissue injury and ultimately promotes tumorigenesis<sup>[<xref ref-type="bibr" rid="B96">96</xref>]</sup>. MASLD/MASH-related HCC exhibits heterogeneous immune regulatory patterns, giving rise to subpopulations with differential immunotherapeutic responses. For example, an endothelial cell-dominant subset characterized by high FABP4 expression promotes vascular normalization and enhances CD8<sup>+</sup> T cell infiltration<sup>[<xref ref-type="bibr" rid="B97">97</xref>]</sup>. In contrast, an intratumoral steatotic phenotype displays an immune-enriched yet functionally suppressed TME marked by T cell exhaustion and enhanced immune checkpoint signaling<sup>[<xref ref-type="bibr" rid="B98">98</xref>]</sup>. These observations provide a basis for precision stratification. In contrast to MASLD/MASH-related HCC, lipid metabolic reprogramming in HBV-related HCC is directly driven by viral factors. HBx modulates SREBP-mediated lipogenic pathways while enhancing autophagic flux, thereby coordinately supporting viral persistence and tumor progression<sup>[<xref ref-type="bibr" rid="B99">99</xref>,<xref ref-type="bibr" rid="B100">100</xref>]</sup>. Moreover, a high-risk subtype of early-stage HBV-related HCC characterized by elevated SOAT1 expression and dysregulated cholesterol metabolism has been associated with poor prognosis<sup>[<xref ref-type="bibr" rid="B82">82</xref>]</sup>. In HCV-related HCC, lipid metabolic remodeling preferentially involves diacylglycerol O-acyltransferase 1 (DGAT1)-mediated lipid droplet biogenesis, enhanced viral protein localization, and suppressed triglyceride turnover, thereby establishing a lipid droplet-dependent metabolic niche that sustains viral replication and tumor progression<sup>[<xref ref-type="bibr" rid="B101">101</xref>]</sup>. Although immune cells may initially exhibit heightened reactivity in the context of viral infection, lipid metabolic dysregulation frequently drives their transition toward an exhausted state<sup>[<xref ref-type="bibr" rid="B102">102</xref>]</sup>. In alcohol-related HCC, ethanol oxidation leads to abnormal NADH accumulation, thereby promoting lipogenesis and suppressing FAO<sup>[<xref ref-type="bibr" rid="B103">103</xref>]</sup>. Lipid peroxidation products further impair mitochondrial function and establish a self-amplifying cycle of oxidative stress and metabolic disruption. The immune landscape of alcohol-related HCC is predominantly characterized by chronic inflammation and a myeloid-skewed protumor immune milieu<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>IMPACT OF AMINO ACID METABOLIC REPROGRAMMING ON THE IMMUNE RESPONSE IN HCC</title>
      <p>Amino acids are essential nutritional substrates for cellular growth and homeostasis and play critical roles in protein synthesis, energy metabolism, and signal transduction<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup>. In HCC, the metabolic landscapes of glutamine, tryptophan, and arginine undergo profound reprogramming. Dysregulated amino acid metabolism actively remodels the TME, thereby promoting the establishment and amplification of an immunosuppressive milieu [<xref ref-type="fig" rid="fig3">Figure 3</xref>].</p>
      <fig id="fig3" position="float">
        <label>Figure 3</label>
        <caption>
          <p>Impact of amino acid metabolic reprogramming on the immune response in HCC. Sharp arrows denote positive regulation, whereas blunt arrows denote negative regulation. Upward symbols represent upregulation, whereas downward symbols represent downregulation. Major actionable targets are indicated by distinct geometric symbols: triangles represent metabolic enzymes, circles represent transporters, stars represent kinases, squares represent transcription factors, and pentagons represent immune checkpoint proteins. AHR: Aryl hydrocarbon receptor; ARG1: arginase 1; ASNS: asparagine synthetase; GCN2: general control nonderepressible 2; GLS1: glutaminase 1; IDO1: indoleamine-2,3-dioxygenase 1; PD-1: programmed cell death protein-1; SLC1A5: solute carrier family 1 member 5; STAT3: signal transducer and activator of transcription 3.</p>
        </caption>
        <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="hr110105.fig.3.jpg" />
      </fig>
      <sec id="sec4-1">
        <title>Dysregulated glutamine metabolism impairs immune responses in HCC</title>
        <p>Aberrant activation of glutamine metabolism is a hallmark of HCC<sup>[<xref ref-type="bibr" rid="B106">106</xref>,<xref ref-type="bibr" rid="B107">107</xref>]</sup>. Key components of this pathway, including the glutamine transporter SLC1A5, kidney-type glutaminase GLS1, and glutamine synthetase (GS), are frequently upregulated in HCC tissues. By contrast, GLS2, the liver-type glutaminase that maintains metabolic homeostasis in normal hepatic tissue, is often silenced or markedly downregulated. Notably, in β-catenin-mutant HCC, GS overexpression paradoxically restrains tumor progression by limiting aberrant accumulation of free glutamate and suppressing hyperactivation of mTORC1 signaling<sup>[<xref ref-type="bibr" rid="B108">108</xref>]</sup>. This observation underscores the importance of nitrogen flux homeostasis, governed by the balance between glutamine synthesis and catabolism, in shaping the metabolic adaptability and invasive potential of HCC cells. Beyond supporting anabolic demands, glutamine metabolism sustains HCC cell survival under persistent oxidative stress by fueling glutathione synthesis and replenishing the tricarboxylic acid (TCA) cycle<sup>[<xref ref-type="bibr" rid="B109">109</xref>]</sup>. These processes maintain nicotinamide adenine dinucleotide phosphate (NADPH)-dependent redox homeostasis required for lipid and protein stability, thereby conferring resistance to ferroptosis. More importantly, glutamine metabolic reprogramming contributes directly to immune evasion. Nutrient competition suppresses effector immune cell function because CD8<sup>+</sup> T cells depend heavily on glutamine metabolism for activation. Glutamine deprivation disrupts mitochondrial homeostasis, as reflected by reduced membrane potential, accumulation of reactive oxygen species (ROS), and ultrastructural damage<sup>[<xref ref-type="bibr" rid="B110">110</xref>]</sup>. These alterations activate apoptotic programs, leading to downregulation of effector molecules, upregulation of inhibitory receptors, and eventual T cell exhaustion. Interestingly, systemic blockade of glutamine metabolism simultaneously impairs glycolysis and oxidative phosphorylation (OXPHOS) in tumor cells<sup>[<xref ref-type="bibr" rid="B111">111</xref>]</sup>. In contrast, CD8<sup>+</sup> T cells maintain energy and redox homeostasis by upregulating acetate utilization and oxidative metabolism and are reprogrammed into a memory-like state with long-term survival potential. This divergent metabolic response suggests a strategy for selectively alleviating tumor-associated immunosuppression. Similarly, NK cells are functionally compromised under glutamine-limiting conditions because of suppressed expression of the metabolic regulator c-Myc<sup>[<xref ref-type="bibr" rid="B112">112</xref>]</sup>. Metabolic stress can also enhance the function of immunosuppressive cell populations. In TAMs, glutamine metabolism promotes an immunosuppressive M2 phenotype through generation of α-ketoglutarate (α-KG), which drives epigenetic remodeling. In addition, glutamate provision fuels the TCA cycle and sustains OXPHOS<sup>[<xref ref-type="bibr" rid="B113">113</xref>,<xref ref-type="bibr" rid="B114">114</xref>]</sup>. Unlike effector immune cells, TAMs retain the capacity for <italic>de novo</italic> glutamine synthesis, conferring a metabolic advantage within the nutrient-deprived TME. Persistent GS overexpression in TAMs is therefore considered essential for maintaining the M2 phenotype. Moreover, glutamine synthesized by TAMs can be utilized by HCC cells as a carbon source to support proliferation and metabolic demands. Conversely, intermediates derived from tumor glutamine metabolism can reprogram macrophages to further reinforce immunosuppressive functions. Notably, tumor-derived glutamate induces chemokine CCL2 expression, thereby promoting recruitment of C-C motif chemokine receptor 2 (CCR2<sup>+</sup>) TAMs and exacerbating HCC progression<sup>[<xref ref-type="bibr" rid="B115">115</xref>]</sup>. In MDSCs, severe glutamine scarcity acts as a metabolic stress signal that drives tumor cells to upregulate granulocyte colony-stimulating factor (G-CSF) and granulocyte macrophage colony-stimulating factor (GM-CSF), thereby systemically reconfiguring the TME to favor MDSC expansion and differentiation<sup>[<xref ref-type="bibr" rid="B116">116</xref>]</sup>. However, MDSC dependence on glutamine is highly dose- and time-dependent<sup>[<xref ref-type="bibr" rid="B117">117</xref>]</sup>. Systematic delineation of the underlying regulatory network in the multidimensional context of the TME remains necessary.</p>
      </sec>
      <sec id="sec4-2">
        <title>Dysregulated tryptophan metabolism impairs immune responses in HCC</title>
        <p>Under physiological conditions, hepatic tryptophan catabolism proceeds primarily through the kynurenine pathway, which is catalyzed by tryptophan-2,3-dioxygenase (TDO2) to maintain systemic immunometabolic homeostasis<sup>[<xref ref-type="bibr" rid="B118">118</xref>]</sup>. In HCC, however, this pathway is aberrantly upregulated. Both TDO2 and indoleamine-2,3-dioxygenase 1 (IDO1) are markedly overexpressed in tumor tissues compared with normal liver. Their upregulation is driven, respectively, by oncogenic signaling pathways such as Wnt/β-catenin and NF-κB and by mediators associated with chronic inflammation. Increased expression of these enzymes correlates closely with higher tumor burden and poorer histological differentiation<sup>[<xref ref-type="bibr" rid="B119">119</xref>,<xref ref-type="bibr" rid="B120">120</xref>]</sup>. Notably, some studies have interpreted IDO1 overexpression as a metabolically induced negative feedback mechanism secondary to immune activation, rather than solely as a protumorigenic factor<sup>[<xref ref-type="bibr" rid="B121">121</xref>]</sup>. For example, in inflamed microenvironments enriched in CD8<sup>+</sup> T cells, IFN-γ induces IDO1 expression in tumor cells through the JAK2/STAT1 signaling pathway, thereby restraining excessive cytotoxic responses. With tumor progression, the TME shifts toward an immune-excluded phenotype, during which IDO1 expression transitions to a sustained, tumor-intrinsic immunoevasive program that further reinforces the immunosuppressive network<sup>[<xref ref-type="bibr" rid="B122">122</xref>]</sup>. Persistent tryptophan depletion leads to the accumulation of uncharged transfer RNAs (tRNAs), which activates general control nonderepressible 2 (GCN2) and initiates an amino acid starvation response<sup>[<xref ref-type="bibr" rid="B123">123</xref>]</sup>. This response induces cell-cycle arrest in CD8<sup>+</sup> T cells and NK cells, promotes differentiation of naïve CD4<sup>+</sup> T cells into Treg cells, and facilitates tumor immune evasion. In parallel, kynurenine, an endogenous ligand of the aryl hydrocarbon receptor (AHR), sustains AHR activation and mediates broad immunosuppressive effects. In HCC cells, excessive AHR signaling promotes tumor cell proliferation and acquired drug resistance through STAT3 and NF-κB signaling<sup>[<xref ref-type="bibr" rid="B124">124</xref>,<xref ref-type="bibr" rid="B125">125</xref>]</sup>. This process further increases IDO1 expression and establishes a self-reinforcing positive feedback loop. Within adaptive immunity, AHR activation upregulates PD-1 and reprograms transcriptional networks associated with T cell exhaustion, thereby impairing CD8<sup>+</sup> T cell cytotoxicity<sup>[<xref ref-type="bibr" rid="B126">126</xref>,<xref ref-type="bibr" rid="B127">127</xref>]</sup>. At the same time, AHR suppresses the transcription factors RORγt and T-bet, inhibiting T helper 1 (Th1) and Th17 differentiation while promoting FOXP3 and IL-10 expression, which collectively biases CD4<sup>+</sup> T cells toward a Treg cell phenotype. Within innate immunity, AHR signaling downregulates key NK cell-activating receptors, including NKG2D and NKp46, and activates ROS-dependent mitochondrial apoptotic pathways, thereby promoting NK cell exhaustion<sup>[<xref ref-type="bibr" rid="B128">128</xref>,<xref ref-type="bibr" rid="B129">129</xref>]</sup>. In DCs, AHR activation reduces the expression of costimulatory molecules and IL-12 while increasing IL-10, IDO1, and inhibitory receptors such as ILT3 and ILT5, thereby promoting a tolerogenic phenotype<sup>[<xref ref-type="bibr" rid="B130">130</xref>]</sup>. Importantly, the immunological consequences of AHR activation are highly ligand dependent, with distinct endogenous and exogenous ligands eliciting divergent or even opposing effects<sup>[<xref ref-type="bibr" rid="B131">131</xref>,<xref ref-type="bibr" rid="B132">132</xref>]</sup>. Accordingly, comprehensive elucidation of ligand-specific AHR engagement and potential allosteric regulatory mechanisms is essential for the rational design of selective AHR modulators aimed at precise therapeutic targeting of this pathway.</p>
      </sec>
      <sec id="sec4-3">
        <title>Dysregulated arginine metabolism impairs immune responses in HCC</title>
        <p>In HCC, arginine metabolism is extensively reprogrammed at the systemic level. Suppression of the urea cycle, marked by downregulation of carbamoyl phosphate synthetase 1 (CPS1) and argininosuccinate synthase 1 (ASS1), compromises endogenous arginine regeneration<sup>[<xref ref-type="bibr" rid="B133">133</xref>,<xref ref-type="bibr" rid="B134">134</xref>]</sup>. As a compensatory response, upregulation of the arginine transporter SLC7A1 enhances extracellular arginine uptake, whereas increased expression of asparagine synthetase (ASNS) facilitates arginine influx through amino acid exchange mechanisms<sup>[<xref ref-type="bibr" rid="B135">135</xref>]</sup>. Concurrently, reduced ARG1 expression limits arginine flux into the ornithine pathway, leading to substantial intracellular arginine accumulation<sup>[<xref ref-type="bibr" rid="B136">136</xref>]</sup>. Excess arginine can directly bind to and modulate the transcriptional and splicing activity of RNA-binding motif protein 39 (RBM39), thereby reshaping metabolic circuits and establishing a proproliferative positive feedback loop that sustains tumor growth<sup>[<xref ref-type="bibr" rid="B137">137</xref>]</sup>. Arginine depletion driven by metabolic dysregulation also has profound immunological consequences. It induces compensatory upregulation of SLC7A1 in T cells<sup>[<xref ref-type="bibr" rid="B138">138</xref>]</sup>. However, because T cells depend strongly on extracellular arginine and have limited capacity for <italic>de novo</italic> arginine synthesis, they exhibit impaired survival, proliferation, and effector differentiation under arginine-limiting conditions. Moreover, activated hepatic stellate cells induce ARG1 expression in C-X3-C motif chemokine receptor 1 (CX3CR1<sup>+</sup>) TAMs through retinoic acid signaling<sup>[<xref ref-type="bibr" rid="B139">139</xref>,<xref ref-type="bibr" rid="B140">140</xref>]</sup>. In parallel, CD14<sup>+</sup> human leukocyte antigen-DR isotype (HLA-DR<sup>-/low</sup>) MDSCs, which are enriched in the HCC microenvironment, display markedly elevated arginase activity. Together, these processes further exacerbate local arginine scarcity and drive T cell hyporesponsiveness or functional exhaustion. Notably, ARG1 also competes with inducible nitric oxide synthase (iNOS) for arginine as a substrate, thereby limiting NO production and impairing the cytotoxicity of M1-like macrophages<sup>[<xref ref-type="bibr" rid="B141">141</xref>]</sup>. Metabolic reprogramming of arginine utilization in TAMs and MDSCs also increases polyamine synthesis, which contributes to the establishment of an immunosuppressive milieu. Polyamines enrich intracellular and extracellular compartments with organic cations that stabilize nucleic acids and ribosomes, thereby supporting the high metabolic throughput required for DNA replication, RNA transcription, and protein synthesis in proliferating HCC cells<sup>[<xref ref-type="bibr" rid="B142">142</xref>]</sup>. More importantly, polyamines promote hypusination of eukaryotic translation initiation factor 5A (EIF5A) and selectively enhance translation of proteins involved in OXPHOS and mitophagy<sup>[<xref ref-type="bibr" rid="B143">143</xref>]</sup>. This translational bias shifts immune cell metabolism toward an OXPHOS-dominant state, driving Teff cell exhaustion while promoting differentiation of Treg cells and M2-like macrophages. In addition, polyamines activate IDO1 signaling, reprogramming DCs toward a tolerogenic phenotype and reinforcing the immunosuppressive programs of MDSCs<sup>[<xref ref-type="bibr" rid="B144">144</xref>,<xref ref-type="bibr" rid="B145">145</xref>]</sup>. Accordingly, targeting dysregulated arginine metabolism in HCC is emerging as a promising therapeutic strategy. Three principal approaches have been proposed, including arginine deprivation to exploit tumor auxotrophy, augmentation of arginine bioavailability to restore immune competence, and inhibition of polyamine biosynthesis or export to counteract immunosuppression<sup>[<xref ref-type="bibr" rid="B146">146</xref>]</sup>.</p>
      </sec>
      <sec id="sec4-4">
        <title>Etiology-associated heterogeneity of amino acid metabolic reprogramming and immune regulation in HCC</title>
        <p>HBV- and HCV-related HCC exhibit marked divergence in glutamine metabolic reprogramming. HBV-related HCC predominantly depends on exogenous glutamine uptake. SLC1A5 has been identified as an independent risk factor, and its elevated expression correlates closely with enrichment of protumorigenic immune subsets and upregulation of immune checkpoint molecules<sup>[<xref ref-type="bibr" rid="B147">147</xref>]</sup>. By contrast, HCV-related HCC preferentially relies on endogenous glutamine synthesis, reflected by high GS expression that is more frequently observed in well-differentiated tumors<sup>[<xref ref-type="bibr" rid="B148">148</xref>]</sup>. GS overexpression is strongly associated with β-catenin mutations and, in the context of urea cycle impairment, constrains tumor growth signaling by maintaining nitrogen homeostasis<sup>[<xref ref-type="bibr" rid="B149">149</xref>]</sup>. These findings suggest that distinct glutamine metabolic phenotypes in HCV-related HCC are determined by specific molecular backgrounds. Activation of IFN-I signaling represents a key molecular feature of virus-related HCC and may promote immune evasion through amino acid metabolic reprogramming. IFN-I selectively induces hepatocellular TDO2 expression, thereby integrating tryptophan catabolism into the antiviral response program<sup>[<xref ref-type="bibr" rid="B150">150</xref>]</sup>. In parallel, IFN-I suppresses hepatic urea cycle flux, impairs arginine regeneration, and causes systemic hypoargininemia<sup>[<xref ref-type="bibr" rid="B151">151</xref>]</sup>. Notably, HCV-related HCC shows significant enrichment of IFN-stimulated genes and is more likely than HBV-related HCC to exist in a state of chronic antiviral signaling activation<sup>[<xref ref-type="bibr" rid="B152">152</xref>]</sup>. In MASLD/MASH-related HCC, glutamine metabolism is dynamically reprogrammed during disease progression. During hepatic fibrogenesis, stromal cell-mediated glutaminolysis via GLS1 is markedly enhanced, providing energy and biosynthetic precursors to support cellular proliferation and collagen synthesis<sup>[<xref ref-type="bibr" rid="B153">153</xref>]</sup>. Meanwhile, emerging tumor nodules activate GS-dependent glutamine synthesis to maintain metabolic homeostasis and sustain growth potential<sup>[<xref ref-type="bibr" rid="B154">154</xref>]</sup>. Cell type-specific glutamine metabolic reprogramming may facilitate metabolic coupling among stromal cells, myeloid cells, and tumor cells, thereby intensifying nutrient competition within the TME. In this context,α-KG-dependent epigenetic remodeling and OXPHOS-supported metabolic activity jointly promote M2 polarization of TAMs, conferring tolerogenic antigen-presenting functions within the TME<sup>[<xref ref-type="bibr" rid="B155">155</xref>]</sup>. Furthermore, both MASLD/MASH-related and alcohol-related HCC display immunosuppressive phenotypes associated with arginine metabolic dysregulation<sup>[<xref ref-type="bibr" rid="B156">156</xref>,<xref ref-type="bibr" rid="B157">157</xref>]</sup>. In MASLD/MASH-related HCC, urea cycle dysfunction secondary to metabolic disequilibrium constitutes the principal driver, whereas in alcohol-related HCC, marked expansion of ARG1<sup>+</sup> granulocytic myeloid-derived suppressor cells (G-MDSCs) predominates. Although arginine metabolic reprogramming converges on similar terminal immunosuppressive phenotypes across etiologies, the upstream regulatory mechanisms remain heterogeneous. This mechanistic divergence provides a rationale for differential immunotherapeutic responses across etiologies and underscores the necessity of etiology-informed stratified targeting of arginine metabolic pathways.</p>
      </sec>
    </sec>
    <sec id="sec5">
      <title>CURRENT LIMITATIONS AND FUTURE PERSPECTIVES</title>
      <p>A major unresolved gap is the limited ability to assign metabolism-associated signals within the TME to specific cell types and tissue niches in a causal, spatially resolved manner. Most existing studies remain restricted to correlative associations between bulk metabolite abundance and immunosuppressive phenotypes, and they lack direct evidence that defined cell populations generate or consume key metabolites within specific niches to suppress neighboring immune cells at relevant spatial scales. Recently, a metabolically interactive niche was identified at the invasive tumor front, in which cancer-associated fibroblast (CAF)-derived lactate drives macrophage polarization toward an immunosuppressive state<sup>[<xref ref-type="bibr" rid="B158">158</xref>]</sup>. Conventional metabolic profiling based on bulk tissue or pooled cell populations is inherently limited in capturing such spatially restricted signals. Integration of multimodal spatial omics with single-cell mass spectrometry imaging offers a promising approach to address this limitation<sup>[<xref ref-type="bibr" rid="B159">159</xref>,<xref ref-type="bibr" rid="B160">160</xref>]</sup>. Beyond spatial heterogeneity, metabolic regulation of antitumor immunity also depends on temporal dynamics and metabolic flux. Frameworks that rely on static metabolite concentrations are therefore insufficient to establish causal links between metabolism and immune regulation. During cellular functional reprogramming, changes in pathway activity often precede detectable shifts in steady-state metabolite levels, which may remain relatively stable within specific temporal windows<sup>[<xref ref-type="bibr" rid="B161">161</xref>]</sup>. These temporally ordered and sustained changes in metabolic activity directly govern cell state transitions but are largely overlooked by conventional static metabolomics. Incorporating stable isotope tracing into high-throughput single-cell mass spectrometry, enabling construction of a dynamic single-cell metabolomics framework, provides an experimentally tractable strategy to address this limitation<sup>[<xref ref-type="bibr" rid="B162">162</xref>]</sup>. Current evidence supporting metabolic control of tumor immunity is derived predominantly from <italic>in vitro</italic> models or analyses of dissociated tissues, which preclude functional validation within intact <italic>in situ</italic> microenvironments that preserve tissue architecture and cell-cell interactions. This limitation constrains reliable evaluation of non-cell-autonomous effects, physiological relevance, and translational potential. Recent advances indicate that integrating <italic>in situ</italic> clustered regularly interspaced short palindromic repeats (CRISPR)-based genetic perturbation with spatial transcriptomics on the same tissue section enables direct interrogation of how perturbation of specific metabolic pathways reshapes tumor cell states and the composition and function of surrounding immune cells while preserving spatial organization and immune niches<sup>[<xref ref-type="bibr" rid="B163">163</xref>]</sup>. Methodologically, this framework provides a powerful approach for <italic>in situ</italic> causal dissection linking genetic perturbations to TME remodeling.</p>
      <p>As metabolic-immune combination strategies move toward clinical translation, substantial challenges remain. Arginine deprivation mediated by pegylated arginine deiminase (ADI-PEG 20) has demonstrated a survival benefit in the second-line treatment of advanced HCC only in a small subset of patients capable of sustaining prolonged metabolic depletion<sup>[<xref ref-type="bibr" rid="B164">164</xref>]</sup>. In the setting of chronic liver disease, treatment-related immunogenicity is often amplified, with anti-drug antibodies emerging early during therapy and leading to rapid attenuation of arginine depletion. In addition, pharmacokinetic variability and restricted intratumoral drug distribution jointly undermine the durability of metabolic interventions. These observations indicate that future clinical trial designs should prioritize the depth and duration of metabolic target engagement as core pharmacodynamic endpoints to determine whether an intervention persistently reaches its intended metabolic target. Similarly, the IDO1 inhibitor BMS-986205 combined with the PD-1 antibody nivolumab produced only limited and transient relief of immunosuppression in the first-line treatment of advanced HCC and failed to translate into stable and reproducible population-level clinical benefit<sup>[<xref ref-type="bibr" rid="B165">165</xref>]</sup>. This outcome indicates that tumor-associated immunosuppression is typically sustained by multiple functionally redundant metabolic nodes, rendering single-pathway interventions highly susceptible to compensatory bypass mechanisms. Consequently, the central challenge of metabolic-immune combination therapy lies not in empirically intensifying inhibition at a single metabolic node but in precise patient stratification guided by intratumoral pharmacodynamic evidence. These challenges are further compounded by the fact that most HCC arises in the setting of cirrhosis. Patients frequently exist in a state of chronic systemic inflammation driven by cirrhosis-associated immune dysfunction (CAID) together with limited nutritional and metabolic reserves, such that immune function often approaches the lower threshold of efficacy<sup>[<xref ref-type="bibr" rid="B166">166</xref>,<xref ref-type="bibr" rid="B167">167</xref>]</sup>. Under these conditions, metabolic interventions that deviate from an optimal therapeutic window are more likely to preferentially impair antitumor immune responses and thereby constrain overall clinical benefit. An additional barrier is that the liver serves as a central organ for tumor immune regulation and a major site of cumulative treatment-related toxicity, which imposes hepatic reserve as a physiological constraint on the feasibility of combination therapies. To mitigate the competing risk of death from hepatic decompensation, most contemporary HCC clinical trials selectively enroll patients with preserved liver function to maximize detection of antitumor efficacy signals<sup>[<xref ref-type="bibr" rid="B168">168</xref>,<xref ref-type="bibr" rid="B169">169</xref>]</sup>. However, because most patients have chronic liver disease or cirrhosis, such selective enrollment inherently limits robust assessment of efficacy and safety in individuals with impaired hepatic function and restricts the generalizability of trial conclusions to real-world populations. Ultimately, potential hepatotoxicity introduced by combining metabolic agents with ICIs frequently compromises treatment feasibility, manifesting as dose reductions, premature discontinuation, hepatic decompensation, or early mortality<sup>[<xref ref-type="bibr" rid="B170">170</xref>,<xref ref-type="bibr" rid="B171">171</xref>]</sup>. Even in first-line systemic therapy for advanced HCC, early death is not uncommon and is strongly associated with baseline hepatic dysfunction, indicating that patients with insufficient liver reserve may undergo rapid decompensation before immunotherapy has sufficient time to confer clinical benefit<sup>[<xref ref-type="bibr" rid="B172">172</xref>]</sup>. Accordingly, any combination strategy that increases hepatic metabolic burden is likely to encounter a markedly narrowed safety window and limited clinical extrapolability. Future study designs should therefore place liver function-based stratification and liver disease-specific safety endpoints on equal priority with antitumor efficacy.</p>
    </sec>
    <sec id="sec6">
      <title>CONCLUSION</title>
      <p>HCC orchestrates systemic rewiring of glucose, lipid, and amino acid metabolic networks that not only sustains the metabolic demands of continuous tumor cell proliferation but also profoundly reshapes the TME through nutrient competition, accumulation of metabolic byproducts, and modulation of key signaling pathways. Across multiple intersecting nodes, metabolic and immune programs engage in self-reinforcing amplification loops that stabilize immune evasion, thereby providing a conceptual framework for understanding the marked heterogeneity of immunotherapeutic responses observed in HCC. Metabolic-immune combination therapy may offer a strategy to overcome current therapeutic limitations and advance HCC management toward more precise and integrated treatment paradigms. However, substantial challenges remain, and translation into effective clinical application will require further investigation.</p>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Acknowledgments</title>
        <p>All figures of the manuscript, including the graphical abstract, were created in BioRender. [Created in BioRender. Wang, Y. (2026) <uri xlink:href="https://BioRender.com/5t0zh9m">https://BioRender.com/5t0zh9m</uri>].</p>
      </sec>
      <sec>
        <title>Authors’ contributions</title>
        <p>Conceptualized the study, reviewed and edited the manuscript, acquired funding, and supervised the research: Zhou J, Yang XR</p>
        <p>Conducted the investigation, prepared the original draft, and performed the visualization: Wang Y, Lu YJ</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This work was jointly supported by the National Natural Science Foundation of China (82072715, 82341027, and 82488101), the Noncommunicable Chronic Diseases-National Science and Technology Major Project (2024ZD0525400 and 2024ZD0525406), the National Ten-thousand Talent Program, the Shanghai Municipal Science and Technology Major Project, the Shanghai Science and Technology Commission (22S31901800, 24JS2840300, and 25JS2850400), the Shanghai Municipal Health Commission (2022LJ005), the Eastern Talent Program (Leading Project), and the Zhongshan Hospital Science Foundation (ZP2023-017).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>Yang XR is the Guest Editor of the Special Issue <italic>Advancing Multimodal Approaches in Liver Cancer: From Tumor Heterogeneity to Precision Therapies</italic> and an Associate Chief Editor of <italic>Hepatoma Research</italic>. Yang XR was not involved in any part of the editorial process for this manuscript, including reviewer selection, manuscript handling, or decision-making. The other authors declare that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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