Background: CD8+ T cells are critical for the oncogenesis and progression of the hepatocellular carcinoma (HCC) tumor microenvironment, receiving antigen signals from antigen-presenting cells and directly contributing to antitumor responses. Summary: CD8+ T cells mediate immunogenic cell death, facilitate immune signal transmission, and play a significant role in various treatments, including surgery, transarterial chemoembolization, and immunotherapy. Extensive research on the role of CD8+ T cells within the HCC microenvironment has shown considerable progress. Immunometabolic targets on CD8+ T cells have demonstrated potential in combination with immunotherapies for HCC; however, they have not yet reached the clinical trial stage. Key Messages: This review provides a comprehensive overview of recent research on immune and immunometabolic targets of CD8+ T cells within the HCC microenvironment. By highlighting advances and potential mechanisms, this review aims to support the development of effective clinical strategies in this field.

Hepatocellular carcinoma (HCC) accounts for approximately 90% of primary liver cancers (PLCs) and has shown no significant decrease in mortality rates over the past decade [1]. Currently, HCC ranks as the third leading cause of cancer-related deaths worldwide [2]. The primary pathophysiological mechanism underlying HCC involves chronic inflammation and necrosis of liver tissue, with hepatitis viruses and metabolic disorders being the major etiological factors [1]. Despite considerable advancements in various treatment modalities for HCC since the early 21st century, multikinase inhibitors have not yielded substantial improvements in overall survival rates for liver cancer in recent years [3, 4].

Research into immunotherapy has been ongoing for over a century, achieving success with interventions such as interleukins and interferons (IFNs) in cancer therapy [5]. Recently, focus has intensified on the tumor microenvironment (TME), composed of immune cells, tumor cells, cytokines, nutrients, and metabolites. This suppressive TME hinders the inherent functions of tumor-targeting cells, thereby facilitating tumor progression. Among the tumor-infiltrating immune cells, the presence of CD8+ T cells in tumor tissues has been identified as a crucial indicator correlated with the tumor-node metastasis classification system and HCC prognosis [6]. Reactivating immunosuppressed CD8+ T cells within the TME has shown potential to improve clinical outcomes [7]. In contrast, immunosuppressive cells such as myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) exacerbate CD8+ T-cell exhaustion, further contributing to tumor progression [8‒10]. The elevated expression of immune checkpoints plays a critical role in mediating T-cell immunosuppression [11‒14]. The discovery of these immune checkpoints within TME-associated immune cells represents a significant advancement in cancer immunotherapy.

In addition to suppression from surrounding cells, CD8+ T cells in the TME face competition for limited nutrients and the accumulation of metabolites, which impedes their growth and functionality [15, 16]. This resource competition within the TME leads to T-cell exhaustion, characterized by the overexpression of immune checkpoints and dysregulated metabolism, ultimately compromising antitumor immune responses [17‒19]. The reprogramming of metabolic pathways in naïve T cells (Tn), effector T cells (Teff), and memory T cells (Tm) is intricately linked to T-cell differentiation, with energy metabolism playing a crucial role in this process [20‒22]. Therefore, immune studies that overlook metabolic considerations provide an incomplete understanding of the immune response in HCC. Additionally, nonalcoholic fatty liver disease (NAFLD), now recognized as metabolic-associated fatty liver disease, has increasingly emerged as a contributing factor in HCC etiology. Consequently, the reprogramming and metabolic disorders observed in HCC pose significant challenges for future research [23‒25].

Historically, research on tumor-infiltrating immune cells has predominantly focused on their functional characteristics. However, the development of the TME concept has redirected attention toward understanding the interactions among immune cells, immune molecules, and metabolites within the tumor environment. The TME includes various immune cell types, such as dendritic cells (DCs), TAMs, T cells, and MDSCs, all of which play critical roles in regulating tumor immunity [26]. Acting as a cellular and molecular landscape for immune responses, the TME reflects the immune and metabolic interplay between immune and tumor cells. The mammalian target of rapamycin (mTOR) serves as a central regulatory hub for T-cell metabolism, integrating signals from the TME to coordinate T-cell function and survival [27, 28].

In clinical settings, TME-associated therapies have encountered challenges, including resistance and non-responsiveness to immunotherapy, particularly following the introduction of sorafenib and immune checkpoint blockers (ICBs) in HCC treatment [29, 30]. Various combination therapies, including those incorporating metabolic strategies, have been developed to address these issues. Studies have unexpectedly revealed synergistic interactions between metabolic mechanisms and immunotherapeutic approaches [15, 31‒33]. Nevertheless, the limited focus on metabolic research related to immune cells has impeded progress in tumor immunotherapy development. Advancing tumor immunity requires the integration of studies on immunocyte metabolism and immune functionality. Therefore, this review provides an overview of recent research at the intersection of immunology and metabolism, specifically focusing on tumor-infiltrating CD8+ T cells within the HCC microenvironment. The goal was to highlight the importance of immunocyte metabolism while summarizing potential mechanisms, recent advancements, and future prospects in this evolving field.

Tumor-infiltrating CD8+ T cells are recruited and activated by specific chemokines to release cytotoxic mediators, enabling their tumor-killing functions. In HCC, CD8+ T-cell activation occurs exclusively through T-cell receptor (TCR) signaling, mediated by DCs [34]. However, with prolonged immune stimulation, cytotoxic CD8+ T cells can shift to an immunosuppressive state known as exhaustion (Fig. 1).

Fig. 1.

Exhaustion of CD8+ T cells in the HCC Microenvironment. Antigen-presenting cells (APCs) activate tumoricidal immune cells by presenting antigen signals. Only major histocompatibility complex class I (MHC I) molecules presented by dendritic cells (DCs) can effectively activate CD8+ T cells, prompting their proliferation and differentiation into memory T cells (Tm) or effector T cells (Teff). Effector T cells exert antitumor effects through cytotoxic mediators, such as interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α). However, prolonged immune stimulation reduces Teff cell longevity and allows tumor cells to evade immune surveillance. To adapt to the tumor microenvironment (TME), tumor-infiltrating CD8+ T cells upregulate immune checkpoints and adopt an immunosuppressive phenotype known as exhausted CD8+ T cells. Programmed cell death protein 1 (PD-1) is the first immune checkpoint observed in progenitor exhausted CD8+ T cells, indicating partial immune suppression. As exhaustion progresses, terminally exhausted CD8+ T cells express T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) in combination with galectin-9 (Gal-9), further inhibiting T-cell receptor (TCR) signaling and antitumor immunity. DC, dendritic cell; Gal-9, Galectin-9; HCC, hepatocellular carcinoma; MDSC, myeloid-derived suppressor cell; MHC, major histocompatibility complex; PD-1, programmed cell death 1; TAM, tumor-associated macrophage; TCR, T cell receptor; Teff, effector T cells; TIM-3, T cell immunoglobulin and mucin domain-containing protein 3; Tm, memory T cells.

Fig. 1.

Exhaustion of CD8+ T cells in the HCC Microenvironment. Antigen-presenting cells (APCs) activate tumoricidal immune cells by presenting antigen signals. Only major histocompatibility complex class I (MHC I) molecules presented by dendritic cells (DCs) can effectively activate CD8+ T cells, prompting their proliferation and differentiation into memory T cells (Tm) or effector T cells (Teff). Effector T cells exert antitumor effects through cytotoxic mediators, such as interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α). However, prolonged immune stimulation reduces Teff cell longevity and allows tumor cells to evade immune surveillance. To adapt to the tumor microenvironment (TME), tumor-infiltrating CD8+ T cells upregulate immune checkpoints and adopt an immunosuppressive phenotype known as exhausted CD8+ T cells. Programmed cell death protein 1 (PD-1) is the first immune checkpoint observed in progenitor exhausted CD8+ T cells, indicating partial immune suppression. As exhaustion progresses, terminally exhausted CD8+ T cells express T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) in combination with galectin-9 (Gal-9), further inhibiting T-cell receptor (TCR) signaling and antitumor immunity. DC, dendritic cell; Gal-9, Galectin-9; HCC, hepatocellular carcinoma; MDSC, myeloid-derived suppressor cell; MHC, major histocompatibility complex; PD-1, programmed cell death 1; TAM, tumor-associated macrophage; TCR, T cell receptor; Teff, effector T cells; TIM-3, T cell immunoglobulin and mucin domain-containing protein 3; Tm, memory T cells.

Close modal

CD8+ T-cell exhaustion is marked by reduced functionality, often signaled by increased expression of inhibitory receptors and the activation of adverse regulatory pathways within these cells [17, 19]. In chronic liver disease, metabolic alterations in CD8+ T cells contribute to this exhaustion. While exhausted CD8+ T cells have limited function, the accompanying metabolic changes can extend their lifespan [28, 35]. The accumulation of exhausted T cells, combined with the apoptosis of effector T cells, reduces overall antitumor efficacy and promotes immune escape in HCC.

The clinical success of ICBs in HCC has heightened interest in immune checkpoint receptors. Overexpression of these receptors, such as programmed cell death 1 (PD-1), cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), T-cell immunoglobulin and mucin-domain-containing protein 3 (TIM-3), and lymphocyte-activation gene 3 (LAG-3), is documented in malignancies and correlates with the exhaustion of tumor-specific CD8+ T cells [36‒40]. This suggests substantial clinical potential for ICBs across malignancies. Strategies to block PD-1, TIM-3, and LAG-3 have shown synergistic effects on tumor-infiltrating CD8+ T cells in HCC patients [14].

Programmed Cell Death 1

The prominence of PD-1 and its ligand PD-L1 rose after the Nobel Prize in 2018. PD-L1 or PD-L2, expressed by tumor cells, binds to PD-1 on T cells, sending inhibitory signals that limit CD8+ T-cell proliferation. In HCC, PD-L1 expression by tumor cells and in exosomes significantly impairs CD8+ T-cell function, especially in hepatitis B virus (HBV)-related cases [41]. Blocking PD-L1 exposes cancer cells to immune detection, while PD-1 blockade reprograms CD8+ T-cell metabolic pathways, effectively reversing exhaustion. High PD-1 expression is a hallmark of early stage exhausted CD8+ T cells, known as progenitor exhausted CD8+ T cells [42]. These PD-1hi CD8+ T cells often co-express other immune checkpoint molecules [43]. Notably, CD8+ T cells are primary targets for anti-PD-1 therapy, with tumor-infiltrating CD8+ T cells indicating a favorable therapeutic response [44]. The PD-1/PD-L1 interaction can lead to T-cell exhaustion by altering metabolism, shifting from glucose and amino acid usage to fatty acid metabolism [33, 45, 46].

However, a substantial percentage of patients exhibit resistance to anti-PD-1 therapy [30]. In solid tumors, the TME challenges therapy efficacy due to low antigen immunogenicity, which impairs antigen presentation and limits the effectiveness of PD-1 blockade in restoring antitumor immunity [47]. Enhancing T-cell energetic metabolism has emerged as a promising strategy to address the limitations of PD-1 blockade [48‒50].

The abnormal blood vessel architecture in tumors can restrict immune cell infiltration, thus reducing the effectiveness of PD-1 blockade [51]. Strategies to disrupt and normalize tumor vasculature have emerged as practical approaches to overcoming resistance to PD-1 blockade [52]. For instance, regorafenib, a multikinase inhibitor targeting vascular endothelial growth factor receptors, has shown promise in normalizing tumor vascular system and enhancing CD8+ T-cell recruitment when combined with PD-1 blockade, especially in Rag1-deficient mice lacking functional T cells in the liver [53]. Additionally, combining anti-PD-1 therapy with vascular endothelial growth factor receptor 2 inhibitors has produced promising results in clinical settings [54]. However, even in tumors where T-cell recruitment is adequate, the effectiveness of PD-1 blockade may be hindered by interactions between intratumoral DC-CD4+ T helper cell niches and CD8+ T cells [55].

T-Cell Immunoglobulin and Mucin-Domain-Containing Protein 3

TIM-3, encoded by the hepatitis A virus-cell receptor 2, is a type I membrane protein predominantly expressed in T cells. In HCC, TIM-3 and PD-1 are key markers of exhausted CD8+ T cells [56]. The interaction between TIM-3 and PD-1 plays an important role in suppressing immune responses to normal cells and inhibiting T-cell inflammatory activity, promoting immune tolerance. Within exhausted CD8+ T-cell subsets, TIM-3 serves as a marker of terminal exhaustion, signifying a further decline in antitumor immunity [42].

Previous studies have highlighted TIM-3’s role in HCC as a receptor for galectin-9 (Gal-9). Zhao et al. elucidated the mechanisms by which the miR-93-5p/Gal-9 axis regulates trimethylation at histone H3 lysine 27 (H3K27me3). This regulation is essential for reprogramming the TME and enhancing CD8+ T-cell apoptosis via TIM-3 signaling [57]. The TIM-3/Gal-9 pathway has been shown to inhibit both innate and adaptive immune cells, thereby weakening antitumor immunity [58]. Conversely, deficiency in the TIM-3/Gal-9 pathway may impair T cells’ immune regulatory capacity, particularly in autoimmune and viral hepatitis [59, 60].

In addition to its immunosuppressive effects, the interaction of Gal-9 with TIM-3 and PD-1 has been found to support the survival of exhausted CD8+ T cells [61]. This persistence of exhausted CD8+ T cells, combined with the depletion of effector T cells allows tumor cells to evade immune surveillance and survive.

Beyond PD-1 and TIM-3, several other immunotherapy targets are being investigated for HCC treatment. This section reviews additional immune targets with potential to advance HCC immunotherapy.

Thymocyte selection-associated high mobility group box protein (TOX) is induced by calcineurin and the nuclear factor of activated T cells 2, regulating T cells through a calcineurin-independent feed-forward loop that results in sustained stimulation and ultimately T-cell exhaustion [62]. TOX has been identified as a marker of effector CD8+ T cells, reflecting the degree of CD8+ T-cell dysfunction [63‒65]. Importantly, TOX also plays a key role in T-cell differentiation and lifecycle maintenance, which is essential for the survival of tumor-specific T cells [63, 66]. Research on TOX’s role in CD8+ T-cell activation suggests its potential to reverse T-cell exhaustion and enhance T-cell functionality in malignancies [67‒69]. Additionally, TOX shows promise as a predictive marker for the efficacy of PD-1 and T-cell immunoreceptors with Ig and ITIM domains (TIGIT) blockade in HCC treatment [70]. However, the clinical application of TOX in HCC is still limited by technical constraints.

Tumor necrosis factor receptor superfamily member 9, commonly known as 4-1BB or CD137, is another co-stimulatory molecule expressed in CD8+ T cells, operating independently of the CD28 signaling pathway. The interaction between the 4-1BB ligand (4-1BBL) on DCs and 4-1BB on T cells recruits TNFR-associated factors 1 and TNFR-associated factor 2, which subsequently upregulate nuclear factor kappa-light-chain-enhancer of activated B cells, mitogen-activated protein kinase, and B-cell lymphoma proteins to enhance T-cell function and survival [71]. The 4-1BB signaling pathway has been associated with improvements in CD8+ T-cell fatty acid oxidation (FAO) and mitochondrial biogenesis via mechanisms involving DNA methylation [72, 73]. Activation of 4-1BB has shown positive results in various cancers, hepatitis, and CAR-T-cell therapy [73‒77]. Recent research by Kim et al. [43] has emphasized the potential of 4-1BB co-stimulation to reverse the exhaustion of tumor-infiltrating CD8+ T cells within the HCC microenvironment [78]. Therefore, the role of 4-1BB in HCC immunometabolism merits further investigation.

In combination with PD-1 inhibitors, blocking LAG-3 and CTLA-4 has shown effectiveness in controlling various tumors [79, 80]. However, LAG-3 primarily relies on major histocompatibility complex class II signaling, which predominantly restores CD4+ T-cell immunity with less impact on CD8+ T cells [81]. Conversely, CTLA-4 blockade has been shown to restore the function of helper T cells (TH cells) rather than enhancing the cytotoxicity of Teff [82]. Unfortunately, CTLA-4 blockade is associated with significant hepatotoxicity and a higher incidence of hepatitis when combined with PD-1 inhibitors, making it unsuitable for HCC treatment [83]. Similar to TIM-3, TIGIT has been identified as a marker of T-cell exhaustion in PLC and has demonstrated synergistic effects with PD-1 inhibitors [63, 64]. TIGIT enables HCC cells to enhance signaling through the poliovirus receptor (PVR) and its ligand PVRL1, which suppresses the cytotoxic response of T cells, thereby reinforcing the inhibitory PVRL1/PVR/TIGIT axis in HCC [62, 66]. While targeting TIGIT alone has uncertain clinical efficacy, it has been shown to improve antitumor immunity in HCC [84].

Lastly, we compiled recent clinical trials to evaluate the outcomes of CD8+ T cell-related immunotherapy and combination strategies in HCC treatment [85‒94] (Table 1). PD-1 blockade-based combinations have improved survival rates in patients with unresectable HCC, though this has come with an increased incidence of adverse events. Notably, the STRIDE combination surprisingly alleviated symptoms. However, most CD8+ T cell-related targets remain distant from routine clinical application.

Table 1.

Clinical trials on immunotherapy for HCC

TargetStrategyContrast strategyPhaseEffectTrial numberReference
PD-1 Camrelizumab + rivoceranib (TKI) Sorafenib II Improving progression-free survival and OS, but creasing adverse event incidence NCT03764293 Qin et al. [85] (2023) 
Camrelizumab + rivoceranib (TKI) Less dose II 14.7% objective response, 74.4% 6-month OS probability, and 22% serious adverse events NCT02989922 Qin et al. [86] (2020) 
Sintilimab + IBI305 (VEGF inhibitor) Sorafenib II, III Improving progression-free survival and OS, but creasing adverse event incidence NCT03794440 Ren et al. [87] (2021) 
Pembrolizumab Placebo III Improving OS without adverse impact on liver function NCT02702401 Vogel et al. [88] (2021) 
Pembrolizumab + lenvatinib + TACE Pembrolizumab + lenvatinib III Ongoing NCT04246177 Llovet et al. [89] (2022) 
Sintilimab/camrelizumab + TACE + ablation Placebo + TACE + ablation II Improving relapse-free survival, but creasing adverse event incidence None Qiao et al. [90] (2022) 
Toripalimab + ablation Toripalimab I, II Improving relapse-free survival, but creasing adverse event incidence NCT03864211 Zhou et al. [91] (2023) 
CTLA-4 Single Tremelimumab Regular Interval Durvalumab (STRIDE) Sorafenib III Improving quality of life and relief symptoms NCT03298451 Sangro et al. [92] (2024) 
PD-L1 
CTLA-4 Ipilimumab + bevacizumab + atezolizumab Bevacizumab + atezolizumab II Ongoing NCT05665348 Merle et al. [93] (2023) 
TIGIT Tiragolumab + atezolizumab + bevacizumab Atezolizumab + bevacizumab Ib, II Ongoing NCT05904886 Badhrinarayanan et al. [94] (2024) 
TargetStrategyContrast strategyPhaseEffectTrial numberReference
PD-1 Camrelizumab + rivoceranib (TKI) Sorafenib II Improving progression-free survival and OS, but creasing adverse event incidence NCT03764293 Qin et al. [85] (2023) 
Camrelizumab + rivoceranib (TKI) Less dose II 14.7% objective response, 74.4% 6-month OS probability, and 22% serious adverse events NCT02989922 Qin et al. [86] (2020) 
Sintilimab + IBI305 (VEGF inhibitor) Sorafenib II, III Improving progression-free survival and OS, but creasing adverse event incidence NCT03794440 Ren et al. [87] (2021) 
Pembrolizumab Placebo III Improving OS without adverse impact on liver function NCT02702401 Vogel et al. [88] (2021) 
Pembrolizumab + lenvatinib + TACE Pembrolizumab + lenvatinib III Ongoing NCT04246177 Llovet et al. [89] (2022) 
Sintilimab/camrelizumab + TACE + ablation Placebo + TACE + ablation II Improving relapse-free survival, but creasing adverse event incidence None Qiao et al. [90] (2022) 
Toripalimab + ablation Toripalimab I, II Improving relapse-free survival, but creasing adverse event incidence NCT03864211 Zhou et al. [91] (2023) 
CTLA-4 Single Tremelimumab Regular Interval Durvalumab (STRIDE) Sorafenib III Improving quality of life and relief symptoms NCT03298451 Sangro et al. [92] (2024) 
PD-L1 
CTLA-4 Ipilimumab + bevacizumab + atezolizumab Bevacizumab + atezolizumab II Ongoing NCT05665348 Merle et al. [93] (2023) 
TIGIT Tiragolumab + atezolizumab + bevacizumab Atezolizumab + bevacizumab Ib, II Ongoing NCT05904886 Badhrinarayanan et al. [94] (2024) 

CTLA-4, cytotoxic T-lymphocyte-associated protein 4; OS, overall survival; PD-1, programmed cell death protein 1; TACE, transcatheter arterial chemoembolization; TIGIT, T-cell immunoreceptor with Ig and ITIM domains; TKI, tyrosine kinase inhibitor; VEGF, vascular endothelial growth factor.

In recent decades, ICB therapy has progressed significantly. However, despite these advancements, immunotherapy has not yet achieved satisfactory results for HCC patients [29]. Along with rising obesity rates and the increasing incidence of NAFLD contributing to HCC, metabolic changes in tumor-infiltrating immune cells and immunometabolic therapy have resurfaced as key areas of research. Immune cells have the capacity to adjust their metabolic pathways in response to the nutrient and metabolite composition of the TME. Consequently, cells within the TME often increase nutrient uptake to support growth or functional activities, leading to competition for available resources.

The prevalence of steatosis in hepatitis leads to lipid accumulation within the HCC microenvironment. This nutrient-rich environment causes alterations in glucose, lipid, and amino acid levels, characteristic of various HCC etiologies [95]. Among these, glucose and glutamine are the most influential nutrients driving resource competition [96, 97] (Fig. 2). Activated T cells increase their energetic metabolism, particularly through mitochondrial activity, to generate adenosine triphosphate (ATP), essential for biosynthesis and T-cell effector functions [98]. The TME opposes the effector functions of CD8+ T cells through immune checkpoint receptors, inhibitory cytokine production, and changes in extracellular metabolic conditions [99]. Additionally, a lower density of CD8+ T cells and a higher presence of regulatory T cells in the HCC TME correlate with poorer prognoses [31].

Fig. 2.

Glucose and glutamine competition in the HCC microenvironment. In the tumor microenvironment (TME), glucose serves as the primary energy source for cellular metabolism. Hepatocellular carcinoma (HCC) tumor cells dominate glucose uptake, consuming the largest share to fuel rapid proliferation. While glycolysis generates substantial ATP for these tumor cells, they also exhibit high glutamine uptake to meet additional metabolic needs. Following tumor cells, myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) prioritize glucose uptake and show significant glutamine uptake as well. Regardless of initial substrates, all metabolic pathways converge at the tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS), which generate substantial reactive oxygen species (ROS) as nutrient metabolism byproducts. Due to a comparatively weaker autophagy system, CD8+ T cells are more susceptible to ROS-induced oxidative stress than tumor cells, MDSCs, and TAMs. The thickness of the arrows indicates the magnitude of glucose and glutamine uptake flux. HCC, hepatocellular carcinoma; MDSC, myeloid-derived suppressor cell; ROS, reactive oxygen species; TAM, tumor-associated macrophage.

Fig. 2.

Glucose and glutamine competition in the HCC microenvironment. In the tumor microenvironment (TME), glucose serves as the primary energy source for cellular metabolism. Hepatocellular carcinoma (HCC) tumor cells dominate glucose uptake, consuming the largest share to fuel rapid proliferation. While glycolysis generates substantial ATP for these tumor cells, they also exhibit high glutamine uptake to meet additional metabolic needs. Following tumor cells, myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) prioritize glucose uptake and show significant glutamine uptake as well. Regardless of initial substrates, all metabolic pathways converge at the tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS), which generate substantial reactive oxygen species (ROS) as nutrient metabolism byproducts. Due to a comparatively weaker autophagy system, CD8+ T cells are more susceptible to ROS-induced oxidative stress than tumor cells, MDSCs, and TAMs. The thickness of the arrows indicates the magnitude of glucose and glutamine uptake flux. HCC, hepatocellular carcinoma; MDSC, myeloid-derived suppressor cell; ROS, reactive oxygen species; TAM, tumor-associated macrophage.

Close modal

Changes in functionality reflect the metabolic alterations occurring in CD8+ T cells. The survival and immune efficacy of tumor-infiltrating CD8+ T cells are closely tied to their metabolic pathways and influenced by the concentrations of metabolic substrates in the TME [100]. Furthermore, metabolites can act as mediators of immune signaling and function as discrete signaling molecules for T cells [101]. Similar to tumor cells, the metabolic pathways involving glucose, lipids, and amino acids are crucial in determining immune cell functionality within the liver. In HCC patients, liver tissue typically exhibits lipid surplus and relative glucose and oxygen deficits, resulting from an imbalance between glucose and lipid synthesis and catabolism [95]. HBV induces persistent oxidative stress, while the hepatitis C virus promotes insulin resistance and lipid accumulation, worsening hepatitis severity and increasing the likelihood of developing PLC [102‒105]. Additionally, steatosis associated with advanced HBV-related HCC can lead to hepatic carnitine leakage, contributing to the exhaustion of HBV-specific CD8+ T cells [106]. Among various immunometabolic targets, mitochondrial metabolism and reactive oxygen species (ROS) pathways are particularly significant in regulating T-cell functionality (Fig. 3).

Fig. 3.

Metabolic reprogramming of CD8+ T Cells in the TME. The energetic metabolism of CD8+ T cells, centered around the tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS), depends on mitochondrial function. Due to poor glucose uptake and hypoxic conditions in the tumor microenvironment (TME), CD8+ T cells upregulate glycolytic pathways to meet ATP demands, leading to increased lactate secretion into the TME. The fatty acid oxidation (FAO) pathway is enhanced to offset the energy deficit caused by exhaustion signaling and the abundance of free fatty acids in the TME. Concurrently, CD8+ T cells catabolize amino acids such as glutamine and branched-chain amino acids (BCAAs) into acetyl-CoA and α-ketoglutarate (α-KG) to support the TCA cycle. However, intracellular oxidative reactions produce excessive reactive oxygen species (ROS), resulting in mitochondrial stress. NADPH and glutathione (GSH) act as primary intracellular antioxidants. CD8+ T cells convert extracellular cysteine and methionine into cysteine, a substrate for GSH synthesis. Additionally, glucose-6-phosphate (G-6-P) generated via glycolysis enhances NADPH, production through the pentose phosphate pathway (PPP), helping neutralize ROS. α-KG, alpha-ketoglutarate; BCAA, branched-chain amino acid; CoA, coenzyme A; Gclc, glutamate cysteine ligase; GSH, glutathione; G-6-P, glucose-6-phosphate; MTA, 5’-methylthioadenosine; NADPH, reduced nicotinamide adenine dinucleotide phosphate; PD, programmed cell death; PPP, pentose phosphate pathway; ROS, reactive oxygen species; SAM, S-adenosylmethionine; Slc, solute carrier; TCA, tricarboxylic acid cycle.

Fig. 3.

Metabolic reprogramming of CD8+ T Cells in the TME. The energetic metabolism of CD8+ T cells, centered around the tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS), depends on mitochondrial function. Due to poor glucose uptake and hypoxic conditions in the tumor microenvironment (TME), CD8+ T cells upregulate glycolytic pathways to meet ATP demands, leading to increased lactate secretion into the TME. The fatty acid oxidation (FAO) pathway is enhanced to offset the energy deficit caused by exhaustion signaling and the abundance of free fatty acids in the TME. Concurrently, CD8+ T cells catabolize amino acids such as glutamine and branched-chain amino acids (BCAAs) into acetyl-CoA and α-ketoglutarate (α-KG) to support the TCA cycle. However, intracellular oxidative reactions produce excessive reactive oxygen species (ROS), resulting in mitochondrial stress. NADPH and glutathione (GSH) act as primary intracellular antioxidants. CD8+ T cells convert extracellular cysteine and methionine into cysteine, a substrate for GSH synthesis. Additionally, glucose-6-phosphate (G-6-P) generated via glycolysis enhances NADPH, production through the pentose phosphate pathway (PPP), helping neutralize ROS. α-KG, alpha-ketoglutarate; BCAA, branched-chain amino acid; CoA, coenzyme A; Gclc, glutamate cysteine ligase; GSH, glutathione; G-6-P, glucose-6-phosphate; MTA, 5’-methylthioadenosine; NADPH, reduced nicotinamide adenine dinucleotide phosphate; PD, programmed cell death; PPP, pentose phosphate pathway; ROS, reactive oxygen species; SAM, S-adenosylmethionine; Slc, solute carrier; TCA, tricarboxylic acid cycle.

Close modal

Glucose Metabolism and the ROS System

The activation of T cells initiates glycometabolism to meet the energy demands required for their development from Tn to Teff. This process includes the activation of mitochondrial biogenesis, enabling the catabolism of glucose and glutamine [107]. Within T cells, glucose is catabolized through multiple pathways, dictated by the concentrations of available metabolites and cytokines. The primary pathways for glucose utilization include the tricarboxylic acid (TCA) cycle and anaerobic glycolysis, both essential for energy production. Additionally, the pentose phosphate pathway (PPP) converts glucose-6-phosphate into reduced nicotinamide adenine dinucleotide phosphate (NADPH). While PPP activation has been linked to oxaliplatin resistance in HCC tumor cells, its specific role in tumor-infiltrating T cells remains unclear [108]. Furthermore, glucose metabolism interconnects with ROS, redox balance, and intracellular signaling, linking fatty acid, and amino acid catabolism with the TCA cycle [109].

Glucose availability is crucial for T-cell growth, with the glycolytic rate in CD8+ T cells serving as an indicator of their immunoactivity [33, 110, 111]. Conversely, the hypoxic environment characteristic of HCC can upregulate 4-1BB signaling via hypoxia-inducible factor-1α, enhancing glycolysis and subsequently boosting CD8+ T-cell immunity and survival [77, 112]. However, evidence indicates that 4-1BB activation in HBV-related HCC can lead to excessive cytokine secretion by memory CD8+ T cells, potentially resulting in chronic inflammation and fibrosis [78]. Additionally, in hepatitis B, mitochondrial metabolism in Teffs is often suppressed, leading to excessive ROS production and reduced ATP levels, both contributing to T-cell exhaustion [46]. Thus, targeting glucose metabolism presents a promising strategy for restoring CD8+ T-cell function.

Among histone modifications, methylation and acetylation have been shown to correlate with T-cell functions [113]. In a chronic inflammatory microenvironment, the TCA cycle in CD8+ T cells sustains high levels of acetyl-coenzyme A (CoA), supporting histone acetylation and enhancing IFN-γ transcription [114]. However, the therapeutic application of CD8+ T-cell histone acetylation in HCC has yet to be explored.

Glucose metabolism is critical for T-cell proliferation and functional maturation. The activation of glycolysis and oxidative phosphorylation (OXPHOS) within CD8+ T-cell mitochondria promotes naïve T-cell proliferation and enhances CD8+ T-cell functionality [48]. Glucose transport across the cell membrane relies on glucose transporter 1 (Glut-1) and the glucose concentration within the TME. Combined CD28 and B7 signaling enhances T-cell proliferation, development, and functionality by activating the serine/threonine protein kinase B (AKT/PKB) pathway, which increases glucose uptake via Glut-1 [115]. Upregulating Glut-1 expression independently enhances the glycolysis of tumor-infiltrating CD8+ T cells [116]. However, tumor cells in the TME efficiently consume glucose, limiting the glycometabolic and immune activity of T cells and leading to T-cell exhaustion [117]. Notably, IFN-α treatment can increase glucose levels in the TME by reducing glucose consumption by HCC tumor cells, enhancing CD8+ T-cell cytotoxicity and improving PD-1 blockade efficacy [32]. This underscores the therapeutic potential of targeting glycometabolism in HCC. Additionally, other nutrients act as regulators of glycolysis and OXPHOS [118]. The glycometabolism of tumor-infiltrating immune cells is intricately connected to that of tumor cells within the TME, yet T-cell glycometabolism is often suppressed due to competition from tumor cells and other infiltrating immune cells. Positron emission tomography tracers have shown that MDSCs and TAMs are more efficient than T cells in glucose uptake and utilization [97]. Hepatocarcinoma cells promote proliferation by reprogramming glucose metabolism, altering metabolite concentrations in the TME, and impacting tumor-infiltrating immune cells.

ROS are generated during glycolysis in the mitochondria as byproducts of ATP and guanosine triphosphate (GTP) synthesis. ROS play a role in cellular signaling and gene expression, influencing T-cell lifecycle and activation [119‒122]. However, excessive ROS accumulation due to ROS-induced ROS release can lead to oxidative stress and damage to cellular organelles [119, 120, 123]. Studies on HCC tumor cell mitochondria indicate that mitoribosome defects contribute to elevated lactate and ROS levels in the TME, ultimately exhausting tumor-infiltrating T cells [124]. The interplay between ROS and mitochondrial oxidative stress can both positively and negatively impact CD8+ T-cell functionality. Restoring mitochondrial adaptability in CD8+ T cells may disrupt this cycle and enhance therapies targeting these cells [50]. Additionally, ROS production is a common pathway through which chronic inflammation impairs DNA damage repair mechanisms [125], leading to cell cycle deregulation, a hallmark of cancer [126]. Excessive ROS can also induce endoplasmic reticulum stress and mitochondrial dysfunction, causing T-cell apoptosis [127]. The relationship between ROS and CD8+ T-cell exhaustion is well-established [128]. Interestingly, ROS can also induce apoptosis in HCC cells via the c-Jun N-terminal kinase pathway [129, 130]. However, HCC tumor cells often adopt autophagy mechanisms to eliminate ROS, increasing their tolerance to ROS compared to tumor-infiltrating T cells [131]. Overall, the role of ROS within the HCC TME exhibits a dual nature, intricately linking tumor cells and T cells.

Lipid Metabolism

Lipids are a fundamental component of the eukaryotic plasma membrane, essential for energy storage and playing vital roles in cellular physiological activities and functions. Cholesterol, sphingolipids, and proteins work together to stabilize lipid rafts, which are critical for membrane signaling and trafficking [132]. Fatty acids are transported into the mitochondrial matrix, where they undergo β-oxidation, breaking down free fatty acids into acetyl-CoA. This fuels the TCA cycle and generates reduced nicotinamide adenine dinucleotide, supporting OXPHOS [133]. Here, we focus on lipid metabolism within the unique HCC microenvironment.

Disruptions in FAO metabolism are particularly significant in HCC. Tumor cells in the HCC microenvironment modify fatty acid metabolism, impacting CD8+ T cells, particularly in the context of obesity [134]. Hepatocytic steatosis related to liver injury, whether due to viral hepatitis or NAFLD, is similarly accompanied by dysregulated lipometabolism [135]. The accumulation of free fatty acids in the TME can cause cellular damage and alter metabolic flux in immune cells, including T cells [25]. Excess lipids can also suppress T-cell immunity through interactions with liver cells and other immune cells associated with CD8+ T cells. Elevated fatty acid levels may prompt liver cells to secrete acetate, potentially inducing CD8+ T cell-mediated autoimmunity [136]. Lipid accumulation in MDSCs can hinder DC antigen presentation, subsequently suppressing T-cell activation [137]. Additionally, de novo fatty acid synthesis and lipid signaling enhance regulatory T cells functions, leading to increased immunosuppression within the TME [138]. Conversely, FAO can act as an alternative energy source, helping alleviate the burden of accumulated fatty acids on CD8+ T cells. Upregulating FAO may enhance CD8+ T-cell antitumor immunity within the TME [48]. While FAO can offset energy deficits in T cells when glycolysis is suppressed, an increased FAO flux in effector T cells may also indicate exhaustion linked to PD-1 signaling [33].

Peroxisome proliferator-activated receptors (PPARs) are a key family of nuclear receptors involved in fatty acid metabolism and cellular energy regulation, showing promise in metabolic disease research. In the context of HCC, PPAR-α has been observed to stimulate FAO and gluconeogenesis in CD8+ T cells [139]. In contrast, PPAR-γ has been shown to restore the metabolic function and effector capabilities of tumor-infiltrating T cells within the HCC microenvironment [140]. However, inhibiting PPAR-γ in HCC tumor cells can suppress oncogenesis and metastasis by regulating PPAR-γ-dependent metabolic activities in these cells [141‒143].

Beyond fatty acids, cholesterol also plays a crucial regulatory role in T-cell signal transduction pathways. The TCR complex of CD8+ T cells consists of α and β TCR chains that associate with CD3 to recognize major histocompatibility complex I molecules, mediating immune functions. Cholesterol association with TCR-β can modulate phosphorylation signaling through allosteric transformation and nanocluster formation, enhancing T-cell immunoactivity and potentially aiding cancer immunotherapy [144, 145]. For instance, dedicator of cytokinesis protein 2, a potential marker for T-cell infiltration, has been inhibited by cholesterol sulfate synthesis in HCC tumor cells and could serve as an additional target for PD-1 blockade [146]. Research into cholesterol metabolism and regulatory checkpoints in T cells has focused on liver X receptors (LXRs) and sterol regulatory element-binding proteins (SREBPs), which are essential for maintaining intracellular cholesterol homeostasis. SREBPs, including SREBP1 and SREBP2 located in the endoplasmic reticulum, regulate the synthesis of 3-hydroxy-3-methyl-glutaryl-CoA and the transport of low-density lipoproteins, promoting intracellular cholesterol biosynthesis. In livers affected by nonalcoholic steatohepatitis (NASH), SREBP2 can induce excessive cholesterol production and accumulation, impairing antitumor immune surveillance by T cells in HCC [147]. Additionally, SREBP signaling has been linked to the clonal expansion of CD8+ T cells during viral infections [148]. However, the role of SREBP in HCC associated with viral hepatitis remains underreported.

Conversely, LXRs regulate cholesterol metabolism, leading to reduced intracellular cholesterol levels. Oxysterols can enhance LXRβ signaling while suppressing the SREBP2 pathway, thereby decreasing cholesterol levels in tumor-infiltrating CD8+ T cells. This reduction may induce autophagy-mediated apoptosis of T cells, contributing to weakened antitumor immunity in PLC [149]. Additionally, LXRα activation of the signal transducer and activator of transcription 3 pathway promotes the accumulation of secondary bile acids and oxysterols, further intensifying innate immune suppression within HCC [150]. Notably, differences in LXR content between tumor cells and T cells can dysregulate cholesterol-related signaling pathways, leading to competition for cholesterol within the TME.

Multiple nuclear receptors regulate lipid metabolism and transport, affecting T-cell functions; however, clinical applications targeting these processes in HCC remain limited [151]. Lipid-based immunotherapy, particularly strategies enhancing T-cell antitumor immunity, presents a promising avenue for cancer treatment [152]. Therefore, further exploration of the interactions between lipid metabolism and current T cell-targeted immunotherapies is warranted.

Amino Acid Metabolism: The Basis of the T-Cell Lifecycle

Amino acid metabolism plays a critical role in the biosynthesis, antioxidant production, and energy supply of CD8+ T cells through various intermediate metabolites. Upon activation, T cells uptake amino acids to sustain high metabolic rates and support protein and nucleotide biosynthesis [153]. Concurrently, activated Tn undergo protein catabolism to meet the amino acid demands necessary for differentiation into Teffs [154]. Amino acid transporters, essential for amino acid uptake and function in T cells, are classified into six categories, including the solute carrier (Slc) family, based on sodium dependency and substrate specificity [155]. Hypoxia-inducible factor-1α and the transcription factor c-Myc are known to upregulate Slc transporters, enhancing amino acid transport [156, 157]. Among these, Slc7a5 and Slc1a5 are particularly significant in amino acid metabolism for activated CD8+ T cells, especially in HCC [153]. The activities of Slc7a5 and Slc1a5 also play roles in HCC progression [158, 159]. Notably, Slc7a5 is part of the transport system for large neutral amino acids such as methionine and leucine, while Slc1a5 transports neutral amino acids like glutamine in the liver [155, 160, 161] (Fig. 4).

Fig. 4.

Roles of amino acids in energy supply, antioxidation, and biosynthesis in CD8+ T cells. amino acids play critical roles in energy metabolism, antioxidation, and biosynthesis throughout the lifecycle of CD8+ T cells. They serve as fundamental building blocks for proteins that form cellular structures and enzymes essential for cell growth. The metabolism of L-arginine, glutamine, and methionine provides carbon, nitrogen, and methyl groups necessary for various biosynthetic pathways. The tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS) are the primary sources of adenosine triphosphate (ATP) for cellular activities. Glutamine enters the TCA cycle alongside leucine through intermediate metabolites like α-ketoglutarate (α-KG) and acetyl-CoA. Additionally, L-arginine is converted into creatine, serving as an alternative energy reservoir. Glutamine also generates glutamate, which combines with cysteine and glycine to form glutathione (GSH), an antioxidant that neutralizes reactive oxygen species (ROS) produced by cellular oxidative reactions. Nicotinamide adenine dinucleotide phosphate (NADPH), produced via glycine-related one-carbon metabolism, acts as another crucial antioxidant defending against ROS. α-KG, alpha-ketoglutarate; CoA, coenzyme A; GSH, glutathione; NADPH, reduced nicotinamide adenine dinucleotide phosphate.

Fig. 4.

Roles of amino acids in energy supply, antioxidation, and biosynthesis in CD8+ T cells. amino acids play critical roles in energy metabolism, antioxidation, and biosynthesis throughout the lifecycle of CD8+ T cells. They serve as fundamental building blocks for proteins that form cellular structures and enzymes essential for cell growth. The metabolism of L-arginine, glutamine, and methionine provides carbon, nitrogen, and methyl groups necessary for various biosynthetic pathways. The tricarboxylic acid (TCA) cycle and oxidative phosphorylation (OXPHOS) are the primary sources of adenosine triphosphate (ATP) for cellular activities. Glutamine enters the TCA cycle alongside leucine through intermediate metabolites like α-ketoglutarate (α-KG) and acetyl-CoA. Additionally, L-arginine is converted into creatine, serving as an alternative energy reservoir. Glutamine also generates glutamate, which combines with cysteine and glycine to form glutathione (GSH), an antioxidant that neutralizes reactive oxygen species (ROS) produced by cellular oxidative reactions. Nicotinamide adenine dinucleotide phosphate (NADPH), produced via glycine-related one-carbon metabolism, acts as another crucial antioxidant defending against ROS. α-KG, alpha-ketoglutarate; CoA, coenzyme A; GSH, glutathione; NADPH, reduced nicotinamide adenine dinucleotide phosphate.

Close modal

Methionine, a key amino acid transported by Slc7a5, has gained attention for its role in maintaining T-cell functions within the HCC microenvironment, particularly regarding nucleotide methylation processes [162]. S-adenosylmethionine (SAM), a metabolite derived from methionine, serves as an essential substrate for biological methylation and antioxidant production. Abnormalities in hepatic SAM levels can lead to liver injury and fibrosis, contributing to the development of PLCs [163]. The methionine salvage pathway, which includes metabolites like 5′-methylthioadenosine and SAM, is crucial for maintaining cellular methionine levels [164]. Research by Hung et al. [165] revealed a positive correlation between the methionine salvage pathway and tumorigenesis in HCC, where oncogenic reprogramming of methionine recycling in HCC cells results in elevated methylthioadenosine and SAM levels, ultimately exhausting CD8+ T cells. Genetically, SAM plays a pivotal role in CD8+ T-cell development as a primary methyl donor for DNA and histone methylation, which may contribute to CD8+ T-cell exhaustion in HCC [21, 165, 166]. Methionine and its metabolite levels could serve as potential biomarkers predictive of survival in HCC patients.

Notably, intracellular methionine can be converted to cysteine through transsulfuration, providing a substrate for glutathione (GSH) synthesis, which is essential for counteracting ROS-induced apoptosis in naïve T cells [167]. Glutathione depletion in HCC cells significantly contributes to ferroptosis and oxidative damage in tumor cells [168‒171]. To protect against oxidative cellular damage from excessive ROS generated during mitochondrial metabolism, T cells utilize amino acid metabolism to produce antioxidants. Elevated ROS levels in T cells stimulate GSH synthesis, regulated by glutamate cysteine ligase and the substrates glutamate, glycine, and cysteine [172, 173]. Depletion of cystine, a precursor for GSH synthesis, can lead to ferroptosis and dysfunction in CD8+ T cells [173]. The drug lenvatinib has been reported to inhibit the xCT system, leading to the accumulation of lipid-derived ROS and inducing ferroptosis in hepatoma cells [174]. Research by Toshida et al. [175] suggested that combining lenvatinib with inhibition of TP53-induced glycolysis and apoptosis regulator could enhance ferroptosis in hepatoma cells, thereby reducing tumor growth and intrahepatic metastasis in PLC and improving postoperative prognosis for HCC patients. Consequently, cysteine and GSH represent key points of nutrient competition between T cells and tumor cells. However, contrary to previous assumptions about its necessity for T-cell growth and function, the xCT transporter system for cysteine and glutamate transport has been shown to be non-essential for HCC tumor control [156, 176].

The production of antioxidants such as GSH and NADPH is closely linked to one-carbon metabolism, which is associated with glycine [177]. Teff specifically utilize extracellular serine uptake to supply glycine and one-carbon units necessary for de novo nucleotide synthesis [178]. However, limited research has focused on the role of one-carbon units and nucleotide biosynthesis in antioxidant production and the behavior of HCC tumor-infiltrating T cells.

Branched-chain amino acids (BCAAs) – especially leucine – provide an additional energy source for the T-cell lifecycle. Since BCAAs cannot be synthesized de novo in animals, supplementation in cancer or chronic liver disease patients could potentially enhance immune function [179, 180]. Leucine contributes carbon groups to form acetyl-CoA, which is essential for mitochondrial oxidation and TCA cycle intermediates [181]. Consequently, leucine deprivation in HCC tissues can reduce the amino acid energy supply, suppressing tumor cell proliferation and invasive capabilities [182]. The catabolism of BCAAs and associated energy pathways in both tumor cells and immune cells presents a potential target for HCC treatment. Furthermore, research by Yao et al. [116] highlighted the role of BCAAs in promoting OXPHOS in tumor-infiltrating CD8+ T cells. Impaired BCAA catabolism has been linked to enhanced tumor growth in HCC [183]. Conversely, earlier studies suggested that BCAA intake might counteract insulin-induced tumor proliferation [184]. Thus, the precise roles of BCAAs within the TME of HCC warrant further investigation.

Glutamine is a unique neutral amino acid transported by both Slc7a5 and Slc1a5, fulfilling critical roles across various aspects of amino acid metabolism. Glutamine supplies glutamate for de novo GSH synthesis, aiding in ROS defense in T cells [172]. While T-cell function traditionally relies on glucose metabolism, glutamine consumption is essential for T-cell proliferation, providing carbon and nitrogen for biosynthesis and cellular maintenance; however, the specific intermediate metabolites involved require further study [185]. In glucose-deprived conditions, adenosine monophosphate can be salvaged from glutamine through the purine salvage pathway, underscoring glutamine’s importance in nucleotide synthesis and energy production for T cells.

Overall, amino acid metabolism plays a critical role in supporting various functions of CD8+ T cells, including protein biosynthesis, antioxidant defense, and energy production, all of which are highly relevant for understanding the immune landscape in HCC. Further research into amino acid metabolism dynamics could offer valuable insights into therapeutic strategies to enhance T-cell responses in HCC.

mTOR-Coordinated Metabolism Alters CD8+ T-Cell Function and Phenotype in HCC

mTOR is a critical serine/threonine kinase from the phosphoinositide 3-kinase-related kinase family that supports biogenesis and inhibits catabolic processes. It integrates various extracellular signals from the TCR, co-stimulatory receptors, cytokines, and microenvironmental cues, reprogramming metabolism to regulate CD8+ T-cell proliferation, differentiation, and function [44, 186‒191]. Tumor-infiltrating CD8+ T cells exert robust antitumor effects through AKT pathway activation, which is linked to mTOR, impacting immune responses and tumor progression through both immune cells and tumor cells [192]. While extensive research has explored the mTOR signaling pathway and its mechanisms, this discussion focuses specifically on its roles in CD8+ T cells within the HCC microenvironment (Fig. 5).

Fig. 5.

mTOR complexes and metabolic regulation in CD8+ T cells. The mechanistic target of rapamycin (mTOR) forms complexes with defining subunits – Raptor for mTOR complex 1 (mTORC1) or Rictor/Sin1 for mTOR complex 2 (mTORC2) – along with the stabilizing protein mammalian lethal with Sec13 protein 8 to coordinate metabolic processes. mTORC1 is activated by mTORC2 and extracellular signal-mediated AKT phosphorylation, subsequently regulating downstream targets. In metabolic regulatory pathways, mTORC1 upregulates lipid synthesis, glutamine uptake, and glycolysis while suppressing the tricarboxylic acid (TCA) cycle and fatty acid oxidation (FAO). This metabolic reprogramming promotes the differentiation of CD8+ T cells into effector T cells rather than memory or exhausted phenotypes. Meanwhile, mTORC1 and AKT reciprocally regulate the tuberous sclerosis complex (TSC), which inhibits Ras homolog enriched in brain (Rheb), the activator of mTORC1, forming a negative feedback loop. Additionally, nutrients like amino acids activate mTORC1 through Rheb and the GTPase-activating protein toward Rags 1/2 signaling pathways. However, the mechanisms by which mTORC2 and metabolic reprogramming regulate T-cell functions remain to be fully elucidated. AKT, serine/threonine protein kinase B; FAO, fatty acid beta-oxidation; FOXO1, forkhead box protein O1; GATOR, Gap activity toward Rags; HIF-1α, hypoxia inducible factor-1 alpha; mLST8, mammalian lethal with Sec13 protein 8; mTOR, mammalian target of rapamycin; mTORC, mammalian target of rapamycin complex; OXPHOS, oxidative phosphorylation; Rheb, Ras homolog enriched in brain; SREBP, sterol regulatory element binding protein; S6K, ribosomaiprotein S6 kinase; TCR, T cell receptor; Tm, memory T cells; TSC, tuberous sclerosis complex protein complex; Teff, effector T cells.

Fig. 5.

mTOR complexes and metabolic regulation in CD8+ T cells. The mechanistic target of rapamycin (mTOR) forms complexes with defining subunits – Raptor for mTOR complex 1 (mTORC1) or Rictor/Sin1 for mTOR complex 2 (mTORC2) – along with the stabilizing protein mammalian lethal with Sec13 protein 8 to coordinate metabolic processes. mTORC1 is activated by mTORC2 and extracellular signal-mediated AKT phosphorylation, subsequently regulating downstream targets. In metabolic regulatory pathways, mTORC1 upregulates lipid synthesis, glutamine uptake, and glycolysis while suppressing the tricarboxylic acid (TCA) cycle and fatty acid oxidation (FAO). This metabolic reprogramming promotes the differentiation of CD8+ T cells into effector T cells rather than memory or exhausted phenotypes. Meanwhile, mTORC1 and AKT reciprocally regulate the tuberous sclerosis complex (TSC), which inhibits Ras homolog enriched in brain (Rheb), the activator of mTORC1, forming a negative feedback loop. Additionally, nutrients like amino acids activate mTORC1 through Rheb and the GTPase-activating protein toward Rags 1/2 signaling pathways. However, the mechanisms by which mTORC2 and metabolic reprogramming regulate T-cell functions remain to be fully elucidated. AKT, serine/threonine protein kinase B; FAO, fatty acid beta-oxidation; FOXO1, forkhead box protein O1; GATOR, Gap activity toward Rags; HIF-1α, hypoxia inducible factor-1 alpha; mLST8, mammalian lethal with Sec13 protein 8; mTOR, mammalian target of rapamycin; mTORC, mammalian target of rapamycin complex; OXPHOS, oxidative phosphorylation; Rheb, Ras homolog enriched in brain; SREBP, sterol regulatory element binding protein; S6K, ribosomaiprotein S6 kinase; TCR, T cell receptor; Tm, memory T cells; TSC, tuberous sclerosis complex protein complex; Teff, effector T cells.

Close modal

mTOR functions through two primary complexes, mTORC1 and mTORC2, which are composed of mTOR, unique subunits (Raptor for mTORC1 and Rictor/Sin1 for mTORC2), and stabilizing proteins like mammalian lethal with Sec13 protein 8. Together, these complexes are essential for T-cell metabolic balance [193, 194]. mTORC2 can phosphorylate AKT, which subsequently activates mTORC1 as well as downstream targets, including forkhead box protein O (FOXO), ribosomal protein S6 kinase, and the tuberous sclerosis complex. Tuberous sclerosis complex serves as a negative regulator of mTORC1 through the GTPase signaling pathway involving Ras homolog enriched in the brain (Rheb) [195‒197]. Although their roles overlap, mTORC1 primarily governs growth and metabolism, while mTORC2 is more involved in cellular longevity and structural organization [35]. Consequently, mTORC1 and mTORC2 exhibit distinct effects on metabolic processes – especially glucose metabolism – that influence T-cell differentiation into Teff or Tm phenotypes. Generally, mTORC1 signaling promotes the differentiation of naïve CD8+ T cells into Teffs while enhancing metabolic pathways that support functional development [28, 154].

During Teff maturation, mTORC1 activation influences early differentiation stages and enhances c-Myc expression, which is crucial for T-cell clonal expansion [155, 157]. Additionally, mTORC1 plays an essential role in redistributing the use of nutrients like glucose and glutamine to mitigate nutrient competition within the TME, thereby protecting Teffs from metabolic stress [97]. A notable feature of mTORC1 signaling is its response to cholesterol deficiency; the AKT/mTORC1 pathway activates SREBP2 to enhance cholesterol uptake, establishing a feedback loop that counteracts functional impairments in tumor-infiltrating CD8+ T cells due to low cholesterol levels [149]. Conversely, mTOR inhibitors can suppress tumors by inhibiting hepatocellular cholesterol biosynthesis [147]. While mTORC1 enhances CD8+ T-cell activity, it often does so at the expense of stability, resulting in a terminally differentiated effector phenotype with a shorter lifespan and reduced immune activity due to the inhibition of memory state transitions.

In contrast, suppressing mTORC2 appears to promote differentiation toward a memory phenotype, which may reduce immediate cellular immunity but extend the longevity of the T-cell population [28]. During the early stages of CD8+ T-cell differentiation, mTORC2 supports TCR and CD28 signaling, facilitating early glycolytic processes through sustained AKT activation [20]. The loss of Rictor, a critical mTORC2 subunit, has been shown to enhance FOXO1 phosphorylation, thereby promoting memory responses by shifting the energetic metabolic pattern [28]. Importantly, deficiencies in both mTORC1 and mTORC2 have been associated with CD8+ T-cell exhaustion in HCC, highlighting the relevance of mTOR signaling in immunometabolic therapies for this condition [198].

mTOR serves as an integrative hub for microenvironmental signals, governing the lifecycle of T cells, with nutrients and metabolites emerging as pivotal regulatory factors [27]. mTORC1 activation depends on amino acid signaling mediated by Slc transporters for amino acid metabolism [157, 158, 160, 193]. Stimulation from amino acids and their metabolites activates mTORC1 through GTPase activity and engagement of Rags 1/2 and Rheb signals [27, 162, 193, 195]. Moreover, GSH deficiencies can inhibit mTOR activity, creating a negative feedback loop that exacerbates ROS accumulation and impairs naïve T-cell activation [199]. Conversely, amino acid-dependent GSH biosynthesis can activate mTOR and promote c-Myc expression [172]. Leucine catabolism, in particular, activates mTORC1, supporting T-cell proliferation [180, 181, 200]. While the pathways and targets of mTOR regulation on CD8+ T-cell functionality have been broadly elucidated, specific and nuanced mechanisms remain to be fully explored.

As research continues into mTOR’s role in T-cell metabolism and functionality, its potential as a therapeutic target in HCC and other malignancies becomes evident. Understanding the interplay between nutrient availability, mTOR signaling, and CD8+ T-cell responses could lead to novel strategies to enhance antitumor immunity while mitigating tumor-induced metabolic dysfunction.

Cellular Redox Imbalance and Ferroptosis in the HCC

Ferroptosis is a distinct form of programmed cell death characterized by iron dependence and alterations in cellular redox status. Key hallmarks of ferroptosis include the inactivation of glutathione peroxidase 4 and the accumulation of lipid peroxides, ultimately leading to oxidative cellular damage [201]. Recent studies have shown that IFN-γ secretion, triggered by co-stimulation, can disrupt tumor cell lipid metabolism, promoting ferroptosis in these cells [202]. Additionally, the lipid-rich environment typical of the TME influences cellular susceptibility to ferroptotic death [203].

In the context of HCC, bevacizumab, an antibody targeting VEGF, has been shown to directly impact HCC lipid metabolism. This intervention induces ferroptosis in tumor cells and activates tumor-infiltrating CD8+ T cells, thereby enhancing their antitumor activity [204]. Ferroptotic death in HCC cells has effects beyond individual cells, including recruiting immune cells into the TME and decreasing PD-L1 expression on tumors, which collectively enhances the antitumor responses of tumor-infiltrating CD8+ T cells [205].

However, the bidirectional nature of ferroptosis in the TME warrants careful consideration. While ferroptosis in tumor cells can foster an immune-stimulatory environment, similar processes can occur in tumor-infiltrating lymphocytes, particularly CD8+ T cells. Cystine deprivation and excessive ROS production can induce oxidative stress, leading to ferroptotic death in these immune cells [173, 206]. The mechanisms underlying these processes – especially the role of cellular redox imbalance and ferroptosis in tumor-infiltrating CD8+ T cells within HCC – remain largely undefined.

Understanding these dynamics is crucial, as they highlight the dual role of ferroptosis in promoting antitumor immunity while potentially compromising T-cell functionality. Further research is needed to clarify how ferroptosis shapes the immune landscape in HCC, particularly for tumor-infiltrating CD8+ T cells. Investigating interventions that fine-tune the balance between tumor cell ferroptosis and T-cell survival may offer new therapeutic avenues for enhancing immune responses in HCC.

For advanced unresectable HCC, there has been a shift toward using multitarget kinase inhibitors and ICBs as competitive alternatives to traditional chemotherapy and radiation. However, the efficacy of these therapies is often limited by drug resistance and variability in patient sensitivity, affecting a significant portion of advanced HCC cases [3]. Resistance to chemotherapy and immunotherapy has been linked to alterations in the TME, driven by metabolic reprogramming resulting from changes in gene expression and cytokine regulation [108, 207, 208].

The TME plays a critical role in shaping locoregional treatments and pharmacological strategies beyond the direct impact of surgical interventions. While standard chemotherapies, radiotherapies, and multikinase inhibitors like sorafenib primarily target tumor cells and the vascular system, immune cells – particularly tumor-infiltrating CD8+ T cells – are essential for determining treatment efficacy and patient prognosis [44, 48, 53‒55, 70, 209]. For example, metformin has been shown to restore the mitochondrial health of tumor-infiltrating CD8+ T cells, enhancing the efficacy of anti-PD-1 therapy in patients with NASH [50].

Cytokine levels are indicators of CD8+ T-cell functionality and present opportunities for combination therapies, such as with CXCR4 inhibitors, which have shown comparable efficacy to sorafenib and anti-PD-1 therapies [210]. While many chemokines are recognized for their relevance in HCC, few have been directly targeted as therapeutic options.

Another area of exploration is targeting epigenetic modifications to improve ICB efficacy. For instance, enhancer of zeste homolog 2 (EZH2) is involved in epigenetic regulation via trimethylation of H3K27me3, influencing gene expression related to T-cell activation and function. Although research on EZH2 has primarily focused on its expression in tumor cells – where it has been implicated in oncogenesis, glycometabolic adaptation, and chemosensitivity – its role in tumor-infiltrating T cells remains less understood. EZH2 expression in T cells is associated with immune evasion mechanisms, including modulation of the nuclear factor kappa-light-chain-enhancer of activated B cells signaling pathway, increased CXCR4 expression, and PD-L1 expression, ultimately impacting ICB efficacy [211‒214]. The overall role of EZH2 in T cells is still debated, but targeting T-cell epigenetics could represent a novel strategy for enhancing T cell-related therapies.

The interplay between functional molecules and metabolic pathways in immune cells is complex and significantly influences TME dynamics. Targeting metabolic pathways may inhibit tumor proliferation in HCC, as demonstrated by drugs like metformin, which regulates both adenosine monophosphate-activated protein kinas signaling in tumor cells and immune checkpoints in exhausted CD8+ T cells, thereby inhibiting HCC progression [50, 215]. Additionally, 7-ketocholesterol has been shown to reduce the effectiveness of doxorubicin in hepatoma cells via the phosphatidylinositide 3-kinase (PI3K)/AKT/mTOR pathway, highlighting the importance of metabolic factors in therapeutic outcomes [216].

Leading immunotherapeutic strategies for HCC often target metabolic pathways within T cells, with energetic metabolism-targeted therapies showing promise as adjuncts to ICBs [11, 98]. BCAA-dependent glycolysis has been associated with improved responses to PD-1 blockade, with BCAA intake linked to enhanced recovery in patients [116, 180]. Disrupting amino acid metabolism in tumor cells is being explored as a synergistic strategy alongside ICBs and other treatments [217]. Regarding ROS, targeting glutamine metabolism has shown potential to alleviate ROS-induced dysfunction in exhausted CD8+ T cells, while cystine and glutamate transport system knockout has been linked to improved ICB efficacy [176, 218, 219].

Moreover, aberrant expression of inhibitor of differentiation 1 in HCC has been linked to elevated ROS production and chemotherapy resistance, suggesting a connection between oxidative stress and treatment failure [108]. ROS-responsive nanoparticles have been proposed to overcome resistance to anti-PD-1 therapies in other cancers, but similar strategies remain unexplored in HCC [220]. Additionally, the upregulation of PD-L1 and recruitment of MDSCs observed in oxaliplatin-resistant HCC correlates with c-Myc expression, acting as a key link between mTOR activity and amino acid metabolism regulation [209, 221, 222].

Interestingly, while CD8+ T cells are typically seen as protective against tumors, they may also contribute to carcinogenesis in chronic liver conditions. For instance, in the context of NASH, CD8+ T cells can upregulate CXCR6 expression, leading to hepatocyte-targeted autoimmunity and exacerbating NASH pathology [136, 215]. This dual role underscores the need to critically assess the phenotype of tumor-infiltrating T cells in relation to HCC etiology before initiating ICB therapy.

Overall, the nuances of T-cell metabolism, epigenetics, and immune responses within the TME emphasize the complexity of HCC treatment and the need for integrated and innovative therapeutic approaches. Further research is essential to delineate these interactions and develop strategies that enhance antitumor immunity while mitigating risks associated with chronic liver disease and tumor progression.

The challenge of treating HCC is significantly compounded by high rates of late-stage presentation and recurrence, which complicate therapeutic strategies [223]. In response to these challenges, immunotherapy has emerged as a promising treatment modality for unresectable and advanced HCC cases [224]. However, the exploration of combination therapies remains crucial due to the currently limited efficacy of monotherapies [1]. Although various targets have been proposed to enhance the effectiveness of these combination approaches, the concept of immunometabolic therapy focusing on CD8+ T cells has not received the attention it deserves.

T cells operate as an integrated system where functional characteristics and metabolic pathways involving glucose, lipids, and amino acids are interrelated. Metabolites and nutritional substrates serve as signaling molecules that influence T-cell differentiation, proliferation, and antitumor responses. T-cell metabolism is shaped by signals transmitted via the TCR and related pathways, directly impacting differentiation and the expression of various immune molecules, including checkpoints. This foundational understanding suggests that metabolism-targeted therapies could ideally complement ICB and other immunotherapies. For instance, synergy has been observed between energetic metabolism, cytokines, anti-PD-1 therapy, and glycometabolic remodeling, underscoring the potential of such integrative approaches [32].

Notably, the functionality of PD-1hi CD8+ T cells has been linked to fatty acid and amino acid metabolism, highlighting the need to further explore these metabolic pathways [48, 116, 156]. Mitochondrial redox reactions, as well as the TCA cycle and OXPHOS pathways, play critical roles in providing the energy and metabolites required for T-cell function. Unlike tumor cells, which may tolerate ROS, T cells often suffer from exhaustion, which can be intensified by ROS-induced mitochondrial dysfunction [128, 131]. Although mitochondrial defects in tumor-infiltrating T cells are known to contribute to their exhaustion, the role of T-cell mitochondria and ROS as independent therapeutic targets remains understudied.

From a signaling perspective, the mechanisms involving mTOR and downstream pathways – such as AKT and c-Myc – in CD8+ T cells have been elucidated; however, the potential of mTOR signaling in CD8+ T cells as a target for combination therapies has yet to be fully explored [28, 100, 183, 189].

In conclusion, leveraging the immune surveillance system and the robust antitumor capabilities of tumor-infiltrating CD8+ T cells holds great promise for enhancing HCC treatment outcomes. Research has primarily focused on the functional aspects of these T cells without adequately addressing changes in their lifecycle and metabolic patterns. Exploring combination therapies to maximize the efficacy of existing immunotherapies is crucial for improving CD8+ T-cell responses. Additionally, metabolism-targeting therapies represent a potential clinical strategy that could either complement existing treatments or serve as standalone options. Given the unique TME of HCC, further investigation into the metabolic profiles of HCC-infiltrating CD8+ T cells is essential to refine and optimize therapeutic strategies for this challenging disease.

The authors have no conflicts of interest to declare.

This work was supported by the Open Project Fund for the State Key Laboratory of Central Asian High Disease Pathogenesis and Prevention (SKL-HIDCA-2023-2); the National Natural Science Foundation of China (82360111); the Xinjiang Uygur Autonomous Region University research project (XJEDU2021I016); and the Tianchi Talent Recruitment Program of the Xinjiang Uyghur Autonomous Region and the Young Researchers’ Start-up Fund of the First Affiliated Hospital of Xinjiang Medical University (2023YFY-QKMS-03).

Y.L. and R.R. conceived the review, performed the majority of the work, and wrote the manuscript. Y.L., R.Z., T.T., and M.W. were responsible for preparing all the figures. D.Z., A.T., and Z.Y. assisted in checking the format and content of the manuscript. T.J. contributed to enhancing the quality of the language. T.A., and Y.S. are responsible for the guidance and quality check. Additionally R.R. provided financial support for the work. All authors read and approved the final manuscript.

Additional Information

Yanze Lin and Rexiati Ruze contributed equally to this work.

1.
Llovet
JM
,
Kelley
RK
,
Villanueva
A
,
Singal
AG
,
Pikarsky
E
,
Roayaie
S
, et al
.
Hepatocellular carcinoma
.
Nat Rev Dis Primers
.
2021
;
7
(
1
):
6
.
2.
Damgaard
RB
,
Jolin
HE
,
Allison
MED
,
Davies
SE
,
Titheradge
HL
,
McKenzie
ANJ
, et al
.
OTULIN protects the liver against cell death, inflammation, fibrosis, and cancer
.
Cell Death Differ
.
2020
;
27
(
5
):
1457
74
.
3.
Ladd
AD
,
Duarte
S
,
Sahin
I
,
Zarrinpar
A
.
Mechanisms of drug resistance in HCC
.
Hepatology
.
2024
;
79
(
4
):
926
40
.
4.
Siegel
RL
,
Miller
KD
,
Jemal
A
.
Cancer statistics, 2020
.
CA Cancer J Clin
.
2020
;
70
(
1
):
7
30
.
5.
Korman
AJ
,
Garrett-Thomson
SC
,
Lonberg
N
.
The foundations of immune checkpoint blockade and the ipilimumab approval decennial
.
Nat Rev Drug Discov
.
2022
;
21
(
7
):
509
28
.
6.
Gabrielson
A
,
Wu
Y
,
Wang
H
,
Jiang
J
,
Kallakury
B
,
Gatalica
Z
, et al
.
Intratumoral CD3 and CD8 T-cell densities associated with relapse-free survival in HCC
.
Cancer Immunol Res
.
2016
;
4
(
5
):
419
30
.
7.
Joyce
JA
,
Fearon
DT
.
T cell exclusion, immune privilege, and the tumor microenvironment
.
Science
.
2015
;
348
(
6230
):
74
80
.
8.
Zhou
J
,
Liu
M
,
Sun
H
,
Feng
Y
,
Xu
L
,
Chan
AWH
, et al
.
Hepatoma-intrinsic CCRK inhibition diminishes myeloid-derived suppressor cell immunosuppression and enhances immune-checkpoint blockade efficacy
.
Gut
.
2018
;
67
(
5
):
931
44
.
9.
Lu
Y
,
Sun
Q
,
Guan
Q
,
Zhang
Z
,
He
Q
,
He
J
, et al
.
The XOR-IDH3α axis controls macrophage polarization in hepatocellular carcinoma
.
J Hepatol
.
2023
;
79
(
5
):
1172
84
.
10.
Li
JJ
,
Wang
JH
,
Tian
T
,
Liu
J
,
Zheng
YQ
,
Mo
HY
, et al
.
The liver microenvironment orchestrates FGL1-mediated immune escape and progression of metastatic colorectal cancer
.
Nat Commun
.
2023
;
14
(
1
):
6690
.
11.
Parry
RV
,
Chemnitz
JM
,
Frauwirth
KA
,
Lanfranco
AR
,
Braunstein
I
,
Kobayashi
SV
, et al
.
CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms
.
Mol Cel Biol
.
2005
;
25
(
21
):
9543
53
.
12.
Thommen
DS
,
Koelzer
VH
,
Herzig
P
,
Roller
A
,
Trefny
M
,
Dimeloe
S
, et al
.
A transcriptionally and functionally distinct PD-1(+) CD8(+) T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade
.
Nat Med
.
2018
;
24
(
7
):
994
1004
.
13.
Boussiotis
VA
,
Longo
DL
.
Molecular and biochemical aspects of the PD-1 checkpoint pathway
.
N Engl J Med Overseas Ed
.
2016
;
375
(
18
):
1767
78
.
14.
Zhou
G
,
Sprengers
D
,
Boor
PPC
,
Doukas
M
,
Schutz
H
,
Mancham
S
, et al
.
Antibodies against immune checkpoint molecules restore functions of tumor-infiltrating T cells in hepatocellular carcinomas
.
Gastroenterology
.
2017
;
153
(
4
):
1107
19.e10
.
15.
Li
X
,
Wenes
M
,
Romero
P
,
Huang
SCC
,
Fendt
SM
,
Ho
PC
.
Navigating metabolic pathways to enhance antitumour immunity and immunotherapy
.
Nat Rev Clin Oncol
.
2019
;
16
(
7
):
425
41
.
16.
Duan
Q
,
Zhang
H
,
Zheng
J
,
Zhang
L
.
Turning cold into hot: firing up the tumor microenvironment
.
Trends Cancer
.
2020
;
6
(
7
):
605
18
.
17.
McLane
LM
,
Abdel-Hakeem
MS
,
Wherry
EJ
.
CD8 T cell exhaustion during chronic viral infection and cancer
.
Annu Rev Immunol
.
2019
;
37
:
457
95
.
18.
Cheng
H
,
Ma
K
,
Zhang
L
,
Li
G
.
The tumor microenvironment shapes the molecular characteristics of exhausted CD8(+) T cells
.
Cancer Lett
.
2021
;
506
:
55
66
.
19.
Yu
YR
,
Imrichova
H
,
Wang
H
,
Chao
T
,
Xiao
Z
,
Gao
M
, et al
.
Disturbed mitochondrial dynamics in CD8(+) TILs reinforce T cell exhaustion
.
Nat Immunol
.
2020
;
21
(
12
):
1540
51
.
20.
Gubser
PM
,
Bantug
GR
,
Razik
L
,
Fischer
M
,
Dimeloe
S
,
Hoenger
G
, et al
.
Rapid effector function of memory CD8+ T cells requires an immediate-early glycolytic switch
.
Nat Immunol
.
2013
;
14
(
10
):
1064
72
.
21.
Youngblood
B
,
Hale
JS
,
Kissick
HT
,
Ahn
E
,
Xu
X
,
Wieland
A
, et al
.
Effector CD8 T cells dedifferentiate into long-lived memory cells
.
Nature
.
2017
;
552
(
7685
):
404
9
.
22.
Zhang
M
,
Lin
X
,
Yang
Z
,
Li
X
,
Zhou
Z
,
Love
PE
, et al
.
Metabolic regulation of T cell development
.
Front Immunol
.
2022
;
13
.
23.
Yahoo
N
,
Dudek
M
,
Knolle
P
,
Heikenwälder
M
.
Role of immune responses in the development of NAFLD-associated liver cancer and prospects for therapeutic modulation
.
J Hepatol
.
2023
;
79
(
2
):
538
51
.
24.
Pfister
D
,
Núñez
NG
,
Pinyol
R
,
Govaere
O
,
Pinter
M
,
Szydlowska
M
, et al
.
NASH limits anti-tumour surveillance in immunotherapy-treated HCC
.
Nature
.
2021
;
592
(
7854
):
450
6
.
25.
Anstee
QM
,
Reeves
HL
,
Kotsiliti
E
,
Govaere
O
,
Heikenwalder
M
.
From NASH to HCC: current concepts and future challenges
.
Nat Rev Gastroenterol Hepatol
.
2019
;
16
(
7
):
411
28
.
26.
Lurje
I
,
Werner
W
,
Mohr
R
,
Roderburg
C
,
Tacke
F
,
Hammerich
L
.
In situ vaccination as a strategy to modulate the immune microenvironment of hepatocellular carcinoma
.
Front Immunol
.
2021
;
12
:
650486
.
27.
Huang
H
,
Long
L
,
Zhou
P
,
Chapman
NM
,
Chi
H
.
mTOR signaling at the crossroads of environmental signals and T‐cell fate decisions
.
Immunol Rev
.
2020
;
295
(
1
):
15
38
.
28.
Pollizzi
KN
,
Patel
CH
,
Sun
IH
,
Oh
MH
,
Waickman
AT
,
Wen
J
, et al
.
mTORC1 and mTORC2 selectively regulate CD8+ T cell differentiation
.
J Clin Invest
.
2015
;
125
(
5
):
2090
108
.
29.
Llovet
JM
,
Castet
F
,
Heikenwalder
M
,
Maini
MK
,
Mazzaferro
V
,
Pinato
DJ
, et al
.
Immunotherapies for hepatocellular carcinoma
.
Nat Rev Clin Oncol
.
2022
;
19
(
3
):
151
72
.
30.
Sharma
P
,
Hu-Lieskovan
S
,
Wargo
JA
,
Ribas
A
.
Primary, adaptive, and acquired resistance to cancer immunotherapy
.
Cell
.
2017
;
168
(
4
):
707
23
.
31.
Zhang
Q
,
Lou
Y
,
Bai
XL
,
Liang
TB
.
Immunometabolism: a novel perspective of liver cancer microenvironment and its influence on tumor progression
.
World J Gastroenterol
.
2018
;
24
(
31
):
3500
12
.
32.
Hu
B
,
Yu
M
,
Ma
X
,
Sun
J
,
Liu
C
,
Wang
C
, et al
.
IFNα potentiates anti-PD-1 efficacy by remodeling glucose metabolism in the hepatocellular carcinoma microenvironment
.
Cancer Discov
.
2022
;
12
(
7
):
1718
41
.
33.
Patsoukis
N
,
Bardhan
K
,
Chatterjee
P
,
Sari
D
,
Liu
B
,
Bell
LN
, et al
.
PD-1 alters T-cell metabolic reprogramming by inhibiting glycolysis and promoting lipolysis and fatty acid oxidation
.
Nat Commun
.
2015
;
6
:
6692
.
34.
Villanueva
MT
.
Microenvironment: the new midfielders in the tumour microenvironment
.
Nat Rev Cancer
.
2014
;
14
(
12
):
765
.
35.
Saxton
RA
,
Sabatini
DM
.
mTOR signaling in growth, metabolism, and disease
.
Cell
.
2017
;
169
(
2
):
361
71
.
36.
Granier
C
,
Dariane
C
,
Combe
P
,
Verkarre
V
,
Urien
S
,
Badoual
C
, et al
.
Tim-3 expression on tumor-infiltrating PD-1(+)cd8(+) T cells correlates with poor clinical outcome in renal cell carcinoma
.
Cancer Res
.
2017
;
77
(
5
):
1075
82
.
37.
Lu
X
,
Yang
L
,
Yao
D
,
Wu
X
,
Li
J
,
Liu
X
, et al
.
Tumor antigen-specific CD8(+) T cells are negatively regulated by PD-1 and Tim-3 in human gastric cancer
.
Cell Immunol
.
2017
;
313
:
43
51
.
38.
Fourcade
J
,
Sun
Z
,
Benallaoua
M
,
Guillaume
P
,
Luescher
IF
,
Sander
C
, et al
.
Upregulation of Tim-3 and PD-1 expression is associated with tumor antigen-specific CD8+ T cell dysfunction in melanoma patients
.
J Exp Med
.
2010
;
207
(
10
):
2175
86
.
39.
Baitsch
L
,
Baumgaertner
P
,
Devêvre
E
,
Raghav
SK
,
Legat
A
,
Barba
L
, et al
.
Exhaustion of tumor-specific CD8⁺ T cells in metastases from melanoma patients
.
J Clin Invest
.
2011
;
121
(
6
):
2350
60
.
40.
Chauvin
JM
,
Pagliano
O
,
Fourcade
J
,
Sun
Z
,
Wang
H
,
Sander
C
, et al
.
TIGIT and PD-1 impair tumor antigen-specific CD8+ T cells in melanoma patients
.
J Clin Invest
.
2015
;
125
(
5
):
2046
58
.
41.
Lin
X
,
Shao
H
,
Tang
Y
,
Wang
Q
,
Yang
Z
,
Wu
H
, et al
.
High expression of circulating exosomal PD-L1 contributes to immune escape of hepatocellular carcinoma and immune clearance of chronic hepatitis B
.
Aging
.
2024
;
16
(
14
):
11373
84
.
42.
Miller
BC
,
Sen
DR
,
Al Abosy
R
,
Bi
K
,
Virkud
YV
,
LaFleur
MW
, et al
.
Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade
.
Nat Immunol
.
2019
;
20
(
3
):
326
36
.
43.
Kim
HD
,
Song
GW
,
Park
S
,
Jung
MK
,
Kim
MH
,
Kang
HJ
, et al
.
Association between expression level of PD1 by tumor-infiltrating CD8(+) T cells and features of hepatocellular carcinoma
.
Gastroenterology
.
2018
;
155
(
6
):
1936
50.e17
.
44.
Morita
M
,
Nishida
N
,
Sakai
K
,
Aoki
T
,
Chishina
H
,
Takita
M
, et al
.
Immunological microenvironment predicts the survival of the patients with hepatocellular carcinoma treated with anti-PD-1 antibody
.
Liver Cancer
.
2021
;
10
(
4
):
380
93
.
45.
Freeman
GJ
,
Long
AJ
,
Iwai
Y
,
Bourque
K
,
Chernova
T
,
Nishimura
H
, et al
.
Engagement of the PD-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation
.
J Exp Med
.
2000
;
192
(
7
):
1027
34
.
46.
Barili
V
,
Carolina
B
,
Marzia
R
,
Andrea
V
,
Alessandra
Z
,
Amalia
P
, et al
.
Metabolic regulation of the HBV-specific T cell function
.
Antivir Res
.
2021
;
185
:
104989
.
47.
Lei
Q
,
Wang
D
,
Sun
K
,
Wang
L
,
Zhang
Y
.
Resistance mechanisms of anti-PD1/PDL1 therapy in solid tumors
.
Front Cel Dev Biol
.
2020
;
8
:
672
.
48.
Chowdhury
PS
,
Chamoto
K
,
Kumar
A
,
Honjo
T
.
PPAR-induced fatty acid oxidation in T cells increases the number of tumor-reactive CD8(+) T cells and facilitates anti-PD-1 therapy
.
Cancer Immunol Res
.
2018
;
6
(
11
):
1375
87
.
49.
Di Biase
S
,
Ma
X
,
Wang
X
,
Yu
J
,
Wang
YC
,
Smith
DJ
, et al
.
Creatine uptake regulates CD8 T cell antitumor immunity
.
J Exp Med
.
2019
;
216
(
12
):
2869
82
.
50.
Wabitsch
S
,
McCallen
JD
,
Kamenyeva
O
,
Ruf
B
,
McVey
JC
,
Kabat
J
, et al
.
Metformin treatment rescues CD8+ T-cell response to immune checkpoint inhibitor therapy in mice with NAFLD
.
J Hepatol
.
2022
;
77
(
3
):
748
60
.
51.
Munn
LL
,
Jain
RK
.
Vascular regulation of antitumor immunity
.
Science
.
2019
;
365
(
6453
):
544
5
.
52.
Bao
X
,
Shen
N
,
Lou
Y
,
Yu
H
,
Wang
Y
,
Liu
L
, et al
.
Enhanced anti-PD-1 therapy in hepatocellular carcinoma by tumor vascular disruption and normalization dependent on combretastatin A4 nanoparticles and DC101
.
Theranostics
.
2021
;
11
(
12
):
5955
69
.
53.
Shigeta
K
,
Matsui
A
,
Kikuchi
H
,
Klein
S
,
Mamessier
E
,
Chen
IX
, et al
.
Regorafenib combined with PD1 blockade increases CD8 T-cell infiltration by inducing CXCL10 expression in hepatocellular carcinoma
.
J Immunother Cancer
.
2020
;
8
(
2
):
e001435
.
54.
Zhang
TQ
,
Geng
ZJ
,
Zuo
MX
,
Li
JB
,
Huang
JH
,
Huang
ZL
, et al
.
Camrelizumab (a PD-1 inhibitor) plus apatinib (an VEGFR-2 inhibitor) and hepatic artery infusion chemotherapy for hepatocellular carcinoma in Barcelona Clinic Liver Cancer stage C (TRIPLET): a phase II study
.
Signal Transduct Target Ther
.
2023
;
8
(
1
):
413
.
55.
Magen
A
,
Hamon
P
,
Fiaschi
N
,
Soong
BY
,
Park
MD
,
Mattiuz
R
, et al
.
Intratumoral dendritic cell–CD4+ T helper cell niches enable CD8+ T cell differentiation following PD-1 blockade in hepatocellular carcinoma
.
Nat Med
.
2023
;
29
(
6
):
1389
99
.
56.
Wherry
EJ
,
Kurachi
M
.
Molecular and cellular insights into T cell exhaustion
.
Nat Rev Immunol
.
2015
;
15
(
8
):
486
99
.
57.
Dong
Z-R
,
Cai
JB
,
Shi
GM
,
Yang
YF
,
Huang
XY
,
Zhang
C
, et al
.
Oncogenic miR-93-5p/Gal-9 axis drives CD8 (+) T-cell inactivation and is a therapeutic target for hepatocellular carcinoma immunotherapy
.
Cancer Lett
.
2023
;
564
:
216186
.
58.
Kandel
S
,
Adhikary
P
,
Li
G
,
Cheng
K
.
The TIM3/Gal9 signaling pathway: an emerging target for cancer immunotherapy
.
Cancer Lett
.
2021
;
510
:
67
78
.
59.
Liberal
R
,
Grant
CR
,
Holder
BS
,
Ma
Y
,
Mieli-Vergani
G
,
Vergani
D
, et al
.
The impaired immune regulation of autoimmune hepatitis is linked to a defective galectin-9/tim-3 pathway
.
Hepatology
.
2012
;
56
(
2
):
677
86
.
60.
Miyakawa
K
,
Nishi
M
,
Ogawa
M
,
Matsunaga
S
,
Sugiyama
M
,
Nishitsuji
H
, et al
.
Galectin-9 restricts hepatitis B virus replication via p62/SQSTM1-mediated selective autophagy of viral core proteins
.
Nat Commun
.
2022
;
13
(
1
):
531
.
61.
Yang
R
,
Sun
L
,
Li
CF
,
Wang
YH
,
Yao
J
,
Li
H
, et al
.
Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy
.
Nat Commun
.
2021
;
12
(
1
):
832
.
62.
Khan
O
,
Giles
JR
,
McDonald
S
,
Manne
S
,
Ngiow
SF
,
Patel
KP
, et al
.
TOX transcriptionally and epigenetically programs CD8(+) T cell exhaustion
.
Nature
.
2019
;
571
(
7764
):
211
8
.
63.
Heim
K
,
Binder
B
,
Sagar
,
Wieland
D
,
Hensel
N
,
Llewellyn-Lacey
S
, et al
.
TOX defines the degree of CD8+ T cell dysfunction in distinct phases of chronic HBV infection
.
Gut
.
2020
;
70
(
8
):
1550
60
.
64.
Sekine
T
,
Perez-Potti
A
,
Nguyen
S
,
Gorin
JB
,
Wu
VH
,
Gostick
E
, et al
.
TOX is expressed by exhausted and polyfunctional human effector memory CD8(+) T cells
.
Sci Immunol
.
2020
;
5
(
49
):
eaba7918
.
65.
Utzschneider
DT
,
Kallies
A
.
Human effector T cells express TOX-Not so “TOX”ic after all
.
Sci Immunol
.
2020
;
5
(
49
):
eabc8272
.
66.
Scott
AC
,
Dündar
F
,
Zumbo
P
,
Chandran
SS
,
Klebanoff
CA
,
Shakiba
M
, et al
.
TOX is a critical regulator of tumour-specific T cell differentiation
.
Nature
.
2019
;
571
(
7764
):
270
4
.
67.
Zhao
Y
,
Liao
P
,
Huang
S
,
Deng
T
,
Tan
J
,
Huang
Y
, et al
.
Increased TOX expression associates with exhausted T cells in patients with multiple myeloma
.
Exp Hematol Oncol
.
2022
;
11
(
1
):
12
.
68.
Maurice
NJ
,
Berner
J
,
Taber
AK
,
Zehn
D
,
Prlic
M
.
Inflammatory signals are sufficient to elicit TOX expression in mouse and human CD8+ T cells
.
JCI Insight
.
2021
;
6
(
13
):
e150744
.
69.
IL-2-STAT5 activity antagonizes TOX and reverses CD8+ T cell exhaustion
.
Cancer Discov
,
2023
:
Of1
.
70.
Ge
Z
,
Zhou
G
,
Campos Carrascosa
L
,
Gausvik
E
,
Boor
PPC
,
Noordam
L
, et al
.
TIGIT and PD1 Co-blockade restores ex vivo functions of human tumor-infiltrating CD8(+) T cells in hepatocellular carcinoma
.
Cell Mol Gastroenterol Hepatol
.
2021
;
12
(
2
):
443
64
.
71.
Chester
C
,
Sanmamed
MF
,
Wang
J
,
Melero
I
.
Immunotherapy targeting 4-1BB: mechanistic rationale, clinical results, and future strategies
.
Blood
.
2018
;
131
(
1
):
49
57
.
72.
Aznar
MA
,
Labiano
S
,
Diaz-Lagares
A
,
Molina
C
,
Garasa
S
,
Azpilikueta
A
, et al
.
CD137 (4-1BB) costimulation modifies DNA methylation in CD8(+) T cell-relevant genes
.
Cancer Immunol Res
.
2018
;
6
(
1
):
69
78
.
73.
Kawalekar
OU
,
O’Connor
RS
,
Fraietta
JA
,
Guo
L
,
McGettigan
SE
,
Posey
AD
Jr
, et al
.
Distinct signaling of coreceptors regulates specific metabolism pathways and impacts memory development in CAR T cells
.
Immunity
.
2016
;
44
(
3
):
712
90
.
74.
Li
K
,
Tandurella
JA
,
Gai
J
,
Zhu
Q
,
Lim
SJ
,
Thomas
DL
2nd
, et al
.
Multi-omic analyses of changes in the tumor microenvironment of pancreatic adenocarcinoma following neoadjuvant treatment with anti-PD-1 therapy
.
Cancer Cell
.
2022
;
40
(
11
):
1374
91.e7
.
75.
Kamata-Sakurai
M
,
Narita
Y
,
Hori
Y
,
Nemoto
T
,
Uchikawa
R
,
Honda
M
, et al
.
Antibody to CD137 activated by extracellular adenosine triphosphate is tumor selective and broadly effective in vivo without systemic immune activation
.
Cancer Discov
.
2021
;
11
(
1
):
158
75
.
76.
Fisicaro
P
,
Valdatta
C
,
Massari
M
,
Loggi
E
,
Ravanetti
L
,
Urbani
S
, et al
.
Combined blockade of programmed death-1 and activation of CD137 increase responses of human liver T cells against HBV, but not HCV
.
Gastroenterology
.
2012
;
143
(
6
):
1576
85.e4
.
77.
Palazón
A
,
Martínez-Forero
I
,
Teijeira
A
,
Morales-Kastresana
A
,
Alfaro
C
,
Sanmamed
MF
, et al
.
The HIF-1α hypoxia response in tumor-infiltrating T lymphocytes induces functional CD137 (4-1BB) for immunotherapy
.
Cancer Discov
.
2012
;
2
(
7
):
608
23
.
78.
Wang
J
,
Zhao
W
,
Cheng
L
,
Guo
M
,
Li
D
,
Li
X
, et al
.
CD137-Mediated pathogenesis from chronic hepatitis to hepatocellular carcinoma in hepatitis B virus-transgenic mice
.
J Immunol
.
2010
;
185
(
12
):
7654
62
.
79.
Woo
SR
,
Turnis
ME
,
Goldberg
MV
,
Bankoti
J
,
Selby
M
,
Nirschl
CJ
, et al
.
Immune inhibitory molecules LAG-3 and PD-1 synergistically regulate T-cell function to promote tumoral immune escape
.
Cancer Res
.
2012
;
72
(
4
):
917
27
.
80.
Liang
L
,
Ge
K
,
Zhang
F
,
Ge
Y
.
The suppressive effect of co-inhibiting PD-1 and CTLA-4 expression on H22 hepatomas in mice
.
Cell Mol Biol Lett
.
2018
;
23
:
58
.
81.
Wang
J
,
Sanmamed
MF
,
Datar
I
,
Su
TT
,
Ji
L
,
Sun
J
, et al
.
Fibrinogen-like protein 1 is a major immune inhibitory ligand of LAG-3
.
Cell
.
2019
;
176
(
1–2
):
334
47.e12
.
82.
Peggs
KS
,
Quezada
SA
,
Chambers
CA
,
Korman
AJ
,
Allison
JP
.
Blockade of CTLA-4 on both effector and regulatory T cell compartments contributes to the antitumor activity of anti-CTLA-4 antibodies
.
J Exp Med
.
2009
;
206
(
8
):
1717
25
.
83.
Boutros
C
,
Tarhini
A
,
Routier
E
,
Lambotte
O
,
Ladurie
FL
,
Carbonnel
F
, et al
.
Safety profiles of anti-CTLA-4 and anti-PD-1 antibodies alone and in combination
.
Nat Rev Clin Oncol
.
2016
;
13
(
8
):
473
86
.
84.
Wu
Y
,
Hao
X
,
Wei
H
,
Sun
R
,
Chen
Y
,
Tian
Z
.
Blockade of T‐cell receptor with Ig and ITIM domains elicits potent antitumor immunity in naturally occurring HBV‐related HCC in mice
.
Hepatology
.
2023
;
77
(
3
):
965
81
.
85.
Qin
S
,
Chan
SL
,
Gu
S
,
Bai
Y
,
Ren
Z
,
Lin
X
, et al
.
Camrelizumab plus rivoceranib versus sorafenib as first-line therapy for unresectable hepatocellular carcinoma (CARES-310): a randomised, open-label, international phase 3 study
.
Lancet
.
2023
;
402
(
10408
):
1133
46
.
86.
Qin
S
,
Ren
Z
,
Meng
Z
,
Chen
Z
,
Chai
X
,
Xiong
J
, et al
.
Camrelizumab in patients with previously treated advanced hepatocellular carcinoma: a multicentre, open-label, parallel-group, randomised, phase 2 trial
.
Lancet Oncol
.
2020
;
21
(
4
):
571
80
.
87.
Ren
Z
,
Xu
J
,
Bai
Y
,
Xu
A
,
Cang
S
,
Du
C
, et al
.
Sintilimab plus a bevacizumab biosimilar (IBI305) versus sorafenib in unresectable hepatocellular carcinoma (ORIENT-32): a randomised, open-label, phase 2-3 study
.
Lancet Oncol
.
2021
;
22
(
7
):
977
90
.
88.
Vogel
A
,
Merle
P
,
Verslype
C
,
Finn
RS
,
Zhu
AX
,
Cheng
AL
, et al
.
ALBI score and outcomes in patients with hepatocellular carcinoma: post hoc analysis of the randomized controlled trial KEYNOTE-240
.
Ther Adv Med Oncol
.
2021
;
13
:
17588359211039928
.
89.
Llovet
JM
,
Vogel
A
,
Madoff
DC
,
Finn
RS
,
Ogasawara
S
,
Ren
Z
, et al
.
Randomized phase 3 LEAP-012 study: transarterial chemoembolization with or without lenvatinib plus pembrolizumab for intermediate-stage hepatocellular carcinoma not amenable to curative treatment
.
Cardiovasc Intervent Radiol
.
2022
;
45
(
4
):
405
12
.
90.
Qiao
W
,
Wang
Q
,
Hu
C
,
Zhang
Y
,
Li
J
,
Sun
Y
, et al
.
Interim efficacy and safety of PD-1 inhibitors in preventing recurrence of hepatocellular carcinoma after interventional therapy
.
Front Immunol
.
2022
;
13
:
1019772
.
91.
Zhou
C
,
Li
Y
,
Li
J
,
Song
B
,
Li
H
,
Liang
B
, et al
.
A phase 1/2 multicenter randomized trial of local ablation plus toripalimab versus toripalimab alone for previously treated unresectable hepatocellular carcinoma
.
Clin Cancer Res
.
2023
;
29
(
15
):
2816
25
.
92.
Sangro
B
,
Galle
PR
,
Kelley
RK
,
Charoentum
C
,
De Toni
EN
,
Ostapenko
Y
, et al
.
Patient-reported outcomes from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma
.
J Clin Oncol
.
2024
;
42
(
23
):
2790
9
.
93.
Merle
P
,
Blanc
JF
,
Edeline
J
,
Le Malicot
K
,
Allaire
M
,
Assenat
E
, et al
.
Ipilimumab with atezolizumab-bevacizumab in patients with advanced hepatocellular carcinoma: the PRODIGE 81-FFCD 2101-TRIPLET-HCC trial
.
Dig Liver Dis
.
2023
;
55
(
4
):
464
70
.
94.
Badhrinarayanan
S
,
Cotter
C
,
Zhu
H
,
Lin
YC
,
Kudo
M
,
Li
D
.
IMbrave152/SKYSCRAPER-14: a Phase III study of atezolizumab, bevacizumab and tiragolumab in advanced hepatocellular carcinoma
.
Future Oncol
.
2024
;
20
(
28
):
2049
57
.
95.
Lin
J
,
Rao
D
,
Zhang
M
,
Gao
Q
.
Metabolic reprogramming in the tumor microenvironment of liver cancer
.
J Hematol Oncol
.
2024
;
17
(
1
):
6
.
96.
Wang
B
,
Pei
J
,
Xu
S
,
Liu
J
,
Yu
J
.
A glutamine tug-of-war between cancer and immune cells: recent advances in unraveling the ongoing battle
.
J Exp Clin Cancer Res
.
2024
;
43
(
1
):
74
.
97.
Reinfeld
BI
,
Madden
MZ
,
Wolf
MM
,
Chytil
A
,
Bader
JE
,
Patterson
AR
, et al
.
Cell-programmed nutrient partitioning in the tumour microenvironment
.
Nature
.
2021
;
593
(
7858
):
282
8
.
98.
Li
H
,
Zhao
A
,
Li
M
,
Shi
L
,
Han
Q
,
Hou
Z
.
Targeting T-cell metabolism to boost immune checkpoint inhibitor therapy
.
Front Immunol
.
2022
;
13
:
1046755
.
99.
Zhao
H
,
Teng
D
,
Yang
L
,
Xu
X
,
Chen
J
,
Jiang
T
, et al
.
Myeloid-derived itaconate suppresses cytotoxic CD8+ T cells and promotes tumour growth
.
Nat Metab
.
2022
;
4
(
12
):
1660
73
.
100.
O’Sullivan
D
,
Pearce
EL
.
Targeting T cell metabolism for therapy
.
Trends Immunol
.
2015
;
36
(
2
):
71
80
.
101.
Wilfahrt
D
,
Delgoffe
GM
.
Metabolic waypoints during T cell differentiation
.
Nat Immunol
.
2024
;
25
(
2
):
206
17
.
102.
Selvamani
SP
,
Khan
A
,
Tay
ESE
,
Garvey
M
,
Ajoyan
H
,
Diefenbach
E
, et al
.
Hepatitis B virus and hepatitis C virus affect mitochondrial function through different metabolic pathways, explaining virus-specific clinical features of chronic hepatitis
.
J Infect Dis
.
2024
;
230
(
5
):
e1012
22
.
103.
Cua
IH
,
Hui
JM
,
Kench
JG
,
George
J
.
Genotype-specific interactions of insulin resistance, steatosis, and fibrosis in chronic hepatitis C
.
Hepatology
.
2008
;
48
(
3
):
723
31
.
104.
Milner
KL
,
van der Poorten
D
,
Trenell
M
,
Jenkins
AB
,
Xu
A
,
Smythe
G
, et al
.
Chronic hepatitis C is associated with peripheral rather than hepatic insulin resistance
.
Gastroenterology
.
2010
;
138
(
3
):
932
41.e1-3
.
105.
Kitada
T
,
Seki
S
,
Iwai
S
,
Yamada
T
,
Sakaguchi
H
,
Wakasa
K
.
In situ detection of oxidative DNA damage, 8-hydroxydeoxyguanosine, in chronic human liver disease
.
J Hepatol
.
2001
;
35
(
5
):
613
8
.
106.
Gu
S
,
Liu
Z
,
Lin
L
,
Zhong
S
,
Ma
Y
,
Li
X
, et al
.
High L-carnitine levels impede viral control in chronic hepatitis B virus InfectionIdentification and mapping of HBsAg loss-related B-cell linear epitopes in chronic HBV patients by peptide array
.
Front Immunol
.
2021
;
12
:
649197
.
107.
Chapman
NM
,
Boothby
MR
,
Chi
H
.
Metabolic coordination of T cell quiescence and activation
.
Nat Rev Immunol
.
2020
;
20
(
1
):
55
70
.
108.
Yin
X
,
Tang
B
,
Li
JH
,
Wang
Y
,
Zhang
L
,
Xie
XY
, et al
.
ID1 promotes hepatocellular carcinoma proliferation and confers chemoresistance to oxaliplatin by activating pentose phosphate pathway
.
J Exp Clin Cancer Res
.
2017
;
36
(
1
):
166
.
109.
Geltink
RIK
,
Kyle
RL
,
Pearce
EL
.
Unraveling the complex interplay between T cell metabolism and function
.
Annu Rev Immunol
.
2018
;
36
:
461
88
.
110.
Zhao
E
,
Maj
T
,
Kryczek
I
,
Li
W
,
Wu
K
,
Zhao
L
, et al
.
Cancer mediates effector T cell dysfunction by targeting microRNAs and EZH2 via glycolysis restriction
.
Nat Immunol
.
2016
;
17
(
1
):
95
103
.
111.
Frauwirth
KA
,
Riley
JL
,
Harris
MH
,
Parry
RV
,
Rathmell
JC
,
Plas
DR
, et al
.
The CD28 signaling pathway regulates glucose metabolism
.
Immunity
.
2002
;
16
(
6
):
769
77
.
112.
Choi
BK
,
Lee
DY
,
Lee
DG
,
Kim
YH
,
Kim
SH
,
Oh
HS
, et al
.
4-1BB signaling activates glucose and fatty acid metabolism to enhance CD8+ T cell proliferation
.
Cell Mol Immunol
.
2017
;
14
(
9
):
748
57
.
113.
Shvedunova
M
,
Akhtar
A
.
Modulation of cellular processes by histone and non-histone protein acetylation
.
Nat Rev Mol Cel Biol
.
2022
;
23
(
5
):
329
49
.
114.
Peng
M
,
Yin
N
,
Chhangawala
S
,
Xu
K
,
Leslie
CS
,
Li
MO
.
Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanism
.
Science
.
2016
;
354
(
6311
):
481
4
.
115.
Jacobs
SR
,
Herman
CE
,
Maciver
NJ
,
Wofford
JA
,
Wieman
HL
,
Hammen
JJ
, et al
.
Glucose uptake is limiting in T cell activation and requires CD28-mediated Akt-dependent and independent pathways
.
J Immunol
.
2008
;
180
(
7
):
4476
86
.
116.
Yao
CC
,
Sun
RM
,
Yang
Y
,
Zhou
HY
,
Meng
ZW
,
Chi
R
, et al
.
Accumulation of branched-chain amino acids reprograms glucose metabolism in CD8(+) T cells with enhanced effector function and anti-tumor response
.
Cell Rep
.
2023
;
42
(
3
):
112186
.
117.
Chang
CH
,
Qiu
J
,
O’Sullivan
D
,
Buck
MD
,
Noguchi
T
,
Curtis
JD
, et al
.
Metabolic competition in the tumor microenvironment is a driver of cancer progression
.
Cell
.
2015
;
162
(
6
):
1229
41
.
118.
Geiger
R
,
Rieckmann
JC
,
Wolf
T
,
Basso
C
,
Feng
Y
,
Fuhrer
T
, et al
.
L-arginine modulates T cell metabolism and enhances survival and anti-tumor activity
.
Cell
.
2016
;
167
(
3
):
829
42.e13
.
119.
Zorov
DB
,
Juhaszova
M
,
Sollott
SJ
.
Mitochondrial reactive oxygen species (ROS) and ROS-induced ROS release
.
Physiol Rev
.
2014
;
94
(
3
):
909
50
.
120.
Zandalinas
SI
,
Mittler
R
.
ROS-induced ROS release in plant and animal cells
.
Free Radic Biol Med
.
2018
;
122
:
21
7
.
121.
Zinkevich
NS
,
Gutterman
DD
.
ROS-induced ROS release in vascular biology: redox-redox signaling
.
Am J Physiol Heart Circ Physiol
.
2011
;
301
(
3
):
H647
53
.
122.
Agudo
J
,
Brown
BD
.
Silence of the ROS
.
Immunity
.
2016
;
44
(
3
):
520
2
.
123.
Franchina
DG
,
Dostert
C
,
Brenner
D
.
Reactive oxygen species: involvement in T cell signaling and metabolism
.
Trends Immunol
.
2018
;
39
(
6
):
489
502
.
124.
Song
BS
,
Moon
JS
,
Tian
J
,
Lee
HY
,
Sim
BC
,
Kim
SH
, et al
.
Mitoribosomal defects aggravate liver cancer via aberrant glycolytic flux and T cell exhaustion
.
J Immunother Cancer
.
2022
;
10
(
5
):
e004337
.
125.
Kanwal
F
,
Kramer
JR
,
Mapakshi
S
,
Natarajan
Y
,
Chayanupatkul
M
,
Richardson
PA
, et al
.
Risk of hepatocellular cancer in patients with non-alcoholic fatty liver disease
.
Gastroenterology
.
2018
;
155
(
6
):
1828
37.e2
.
126.
Greten
TF
,
Abou-Alfa
GK
,
Cheng
AL
,
Duffy
AG
,
El-Khoueiry
AB
,
Finn
RS
, et al
.
Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immunotherapy for the treatment of hepatocellular carcinoma
.
J Immunother Cancer
.
2021
;
9
(
9
):
e002794
.
127.
Qu
K
,
Shen
N
,
Xu
X
,
Su
H
,
Wei
J
,
Tai
M
, et al
.
Emodin induces human T cell apoptosis in vitro by ROS-mediated endoplasmic reticulum stress and mitochondrial dysfunction
.
Acta Pharmacol Sin
.
2013
;
34
(
9
):
1217
28
.
128.
Deguit
CDT
,
Hough
M
,
Hoh
R
,
Krone
M
,
Pilcher
CD
,
Martin
JN
, et al
.
Some aspects of CD8+ T-cell exhaustion are associated with altered T-cell mitochondrial features and ROS content in HIV infection
.
J Acquir Immune Defic Syndr
.
2019
;
82
(
2
):
211
9
.
129.
Kim
SY
,
Hwangbo
H
,
Lee
H
,
Park
C
,
Kim
GY
,
Moon
SK
, et al
.
Induction of apoptosis by coptisine in Hep3B hepatocellular carcinoma cells through activation of the ROS-mediated JNK signaling pathway
.
Int J Mol Sci
.
2020
;
21
(
15
):
5502
.
130.
Zhang
Z
,
Zhang
C
,
Ding
Y
,
Zhao
Q
,
Yang
L
,
Ling
J
, et al
.
The activation of p38 and JNK by ROS, contribute to OLO-2-mediated intrinsic apoptosis in human hepatocellular carcinoma cells
.
Food Chem Toxicol
.
2014
;
63
:
38
47
.
131.
Xu
Y
,
Ji
Y
,
Li
X
,
Ding
J
,
Chen
L
,
Huang
Y
, et al
.
URI1 suppresses irradiation-induced reactive oxygen species (ROS) by activating autophagy in hepatocellular carcinoma cells
.
Int J Biol Sci
.
2021
;
17
(
12
):
3091
103
.
132.
Lingwood
D
,
Simons
K
.
Lipid rafts as a membrane-organizing principle
.
Science
.
2010
;
327
(
5961
):
46
50
.
133.
Houten
SM
,
Violante
S
,
Ventura
FV
,
Wanders
RJA
.
The biochemistry and physiology of mitochondrial fatty acid β-oxidation and its genetic disorders
.
Annu Rev Physiol
.
2016
;
78
:
23
44
.
134.
Ringel
AE
,
Drijvers
JM
,
Baker
GJ
,
Catozzi
A
,
García-Cañaveras
JC
,
Gassaway
BM
, et al
.
Obesity shapes metabolism in the tumor microenvironment to suppress anti-tumor immunity
.
Cell
.
2020
;
183
(
7
):
1848
66.e26
.
135.
Idilman
IS
,
Ozdeniz
I
,
Karcaaltincaba
M
.
Hepatic steatosis: etiology, patterns, and quantification
.
Semin Ultrasound CT MR
.
2016
;
37
(
6
):
501
10
.
136.
Dudek
M
,
Pfister
D
,
Donakonda
S
,
Filpe
P
,
Schneider
A
,
Laschinger
M
, et al
.
Auto-aggressive CXCR6+ CD8 T cells cause liver immune pathology in NASH
.
Nature
.
2021
;
592
(
7854
):
444
9
.
137.
Iske
J
,
Cao
Y
,
Roesel
MJ
,
Shen
Z
,
Nian
Y
.
Metabolic reprogramming of myeloid-derived suppressor cells in the context of organ transplantation
.
Cytotherapy
.
2023
;
25
(
8
):
789
97
.
138.
Lim
SA
,
Wei
J
,
Nguyen
TLM
,
Shi
H
,
Su
W
,
Palacios
G
, et al
.
Lipid signalling enforces functional specialization of T(reg) cells in tumours
.
Nature
.
2021
;
591
(
7849
):
306
11
.
139.
Harmon
GS
,
Lam
MT
,
Glass
CK
.
PPARs and lipid ligands in inflammation and metabolism
.
Chem Rev
.
2011
;
111
(
10
):
6321
40
.
140.
Scharping
NE
,
Menk
AV
,
Moreci
RS
,
Whetstone
RD
,
Dadey
RE
,
Watkins
SC
, et al
.
The tumor microenvironment represses T cell mitochondrial biogenesis to drive intratumoral T cell metabolic insufficiency and dysfunction
.
Immunity
.
2016
;
45
(
3
):
701
3
.
141.
Piccinin
E
,
Peres
C
,
Bellafante
E
,
Ducheix
S
,
Pinto
C
,
Villani
G
, et al
.
Hepatic peroxisome proliferator-activated receptor γ coactivator 1β drives mitochondrial and anabolic signatures that contribute to hepatocellular carcinoma progression in mice
.
Hepatology
.
2018
;
67
(
3
):
884
98
.
142.
Zuo
Q
,
He
J
,
Zhang
S
,
Wang
H
,
Jin
G
,
Jin
H
, et al
.
PPARγ coactivator-1α suppresses metastasis of hepatocellular carcinoma by inhibiting warburg effect by PPARγ-dependent WNT/β-Catenin/Pyruvate dehydrogenase kinase isozyme 1 Axis
.
Hepatology
.
2021
;
73
(
2
):
644
60
.
143.
Patitucci
C
,
Couchy
G
,
Bagattin
A
,
Cañeque
T
,
de Reyniès
A
,
Scoazec
JY
, et al
.
Hepatocyte nuclear factor 1α suppresses steatosis-associated liver cancer by inhibiting PPARγ transcription
.
J Clin Invest
.
2017
;
127
(
5
):
1873
88
.
144.
Pathan-Chhatbar
S
,
Drechsler
C
,
Richter
K
,
Morath
A
,
Wu
W
,
OuYang
B
, et al
.
Direct regulation of the T cell antigen receptor’s activity by cholesterol
.
Front Cel Dev Biol
.
2020
;
8
:
615996
.
145.
Swamy
M
,
Beck-Garcia
K
,
Beck-Garcia
E
,
Hartl
FA
,
Morath
A
,
Yousefi
OS
, et al
.
A cholesterol-based allostery model of T cell receptor phosphorylation
.
Immunity
.
2016
;
44
(
5
):
1091
101
.
146.
Wang
S
,
Wang
R
,
Xu
N
,
Wei
X
,
Yang
Y
,
Lian
Z
, et al
.
SULT2B1-CS-DOCK2 axis regulates effector T-cell exhaustion in HCC microenvironment
.
Hepatology
.
2023
;
78
(
4
):
1064
78
.
147.
Tang
W
,
Zhou
J
,
Yang
W
,
Feng
Y
,
Wu
H
,
Mok
MTS
, et al
.
Aberrant cholesterol metabolic signaling impairs antitumor immunosurveillance through natural killer T cell dysfunction in obese liver
.
Cel Mol Immunol
.
2022
;
19
(
7
):
834
47
.
148.
Kidani
Y
,
Elsaesser
H
,
Hock
MB
,
Vergnes
L
,
Williams
KJ
,
Argus
JP
, et al
.
Sterol regulatory element-binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity
.
Nat Immunol
.
2013
;
14
(
5
):
489
99
.
149.
Yan
C
,
Zheng
L
,
Jiang
S
,
Yang
H
,
Guo
J
,
Jiang
LY
, et al
.
Exhaustion-associated cholesterol deficiency dampens the cytotoxic arm of antitumor immunity
.
Cancer Cell
.
2023
;
41
(
7
):
1276
93.e11
.
150.
Xie
Y
,
Sun
R
,
Gao
L
,
Guan
J
,
Wang
J
,
Bell
A
, et al
.
Chronic activation of LXRα sensitizes mice to hepatocellular carcinoma
.
Hepatol Commun
.
2022
;
6
(
5
):
1123
39
.
151.
Robinson
GA
,
Waddington
KE
,
Pineda-Torra
I
,
Jury
EC
.
Transcriptional regulation of T-cell lipid metabolism: implications for plasma membrane lipid rafts and T-cell function
.
Front Immunol
.
2017
;
8
:
1636
.
152.
Wu
W
,
Shi
X
,
Xu
C
.
Regulation of T cell signalling by membrane lipids
.
Nat Rev Immunol
.
2016
;
16
(
11
):
690
701
.
153.
Howden
AJM
,
Hukelmann
JL
,
Brenes
A
,
Spinelli
L
,
Sinclair
LV
,
Lamond
AI
, et al
.
Quantitative analysis of T cell proteomes and environmental sensors during T cell differentiation
.
Nat Immunol
.
2019
;
20
(
11
):
1542
54
.
154.
Tan
H
,
Yang
K
,
Li
Y
,
Shaw
TI
,
Wang
Y
,
Blanco
DB
, et al
.
Integrative proteomics and phosphoproteomics profiling reveals dynamic signaling networks and bioenergetics pathways underlying T cell activation
.
Immunity
.
2017
;
46
(
3
):
488
503
.
155.
Ren
W
,
Liu
G
,
Yin
J
,
Tan
B
,
Wu
G
,
Bazer
FW
, et al
.
Amino-acid transporters in T-cell activation and differentiation
.
Cell Death Dis
.
2017
;
8
(
3
):
e2655
.
156.
Wang
W
,
Zou
W
.
Amino acids and their transporters in T cell immunity and cancer therapy
.
Mol Cel
.
2020
;
80
(
3
):
384
95
.
157.
Marchingo
JM
,
Sinclair
LV
,
Howden
AJ
,
Cantrell
DA
.
Quantitative analysis of how Myc controls T cell proteomes and metabolic pathways during T cell activation
.
Elife
.
2020
;
9
:
e53725
.
158.
Park
YY
,
Sohn
BH
,
Johnson
RL
,
Kang
MH
,
Kim
SB
,
Shim
JJ
, et al
.
Yes-associated protein 1 and transcriptional coactivator with PDZ-binding motif activate the mammalian target of rapamycin complex 1 pathway by regulating amino acid transporters in hepatocellular carcinoma
.
Hepatology
.
2016
;
63
(
1
):
159
72
.
159.
Bothwell
PJ
,
Kron
CD
,
Wittke
EF
,
Czerniak
BN
,
Bode
BP
.
Targeted suppression and knockout of ASCT2 or LAT1 in epithelial and mesenchymal human liver cancer cells fail to inhibit growth
.
Int J Mol Sci
.
2018
;
19
(
7
):
2093
.
160.
Sinclair
LV
,
Rolf
J
,
Emslie
E
,
Shi
YB
,
Taylor
PM
,
Cantrell
DA
.
Control of amino-acid transport by antigen receptors coordinates the metabolic reprogramming essential for T cell differentiation
.
Nat Immunol
.
2013
;
14
(
5
):
500
8
.
161.
Sengupta
D
,
Cassel
T
,
Teng
KY
,
Aljuhani
M
,
Chowdhary
VK
,
Hu
P
, et al
.
Regulation of hepatic glutamine metabolism by miR-122
.
Mol Metab
.
2020
;
34
:
174
86
.
162.
Sinclair
LV
,
Howden
AJ
,
Brenes
A
,
Spinelli
L
,
Hukelmann
JL
,
Macintyre
AN
, et al
.
Antigen receptor control of methionine metabolism in T cells
.
Elife
.
2019
;
8
:
e44210
.
163.
Lu
SC
,
Mato
JM
.
S-Adenosylmethionine in liver health, injury, and cancer
.
Physiol Rev
.
2012
;
92
(
4
):
1515
42
.
164.
Albers
E
.
Metabolic characteristics and importance of the universal methionine salvage pathway recycling methionine from 5′-methylthioadenosine
.
IUBMB Life
.
2009
;
61
(
12
):
1132
42
.
165.
Hung
MH
,
Lee
JS
,
Ma
C
,
Diggs
LP
,
Heinrich
S
,
Chang
CW
, et al
.
Tumor methionine metabolism drives T-cell exhaustion in hepatocellular carcinoma
.
Nat Commun
.
2021
;
12
(
1
):
1455
.
166.
Murn
J
,
Shi
Y
.
The winding path of protein methylation research: milestones and new frontiers
.
Nat Rev Mol Cel Biol
.
2017
;
18
(
8
):
517
27
.
167.
Garg
SK
,
Yan
Z
,
Vitvitsky
V
,
Banerjee
R
.
Differential dependence on cysteine from transsulfuration versus transport during T cell activation
.
Antioxid Redox Signal
.
2011
;
15
(
1
):
39
47
.
168.
Yu
Y
,
Shen
X
,
Xiao
X
,
Li
L
,
Huang
Y
.
Butyrate modification promotes intestinal absorption and hepatic cancer cells targeting of ferroptosis inducer loaded nanoparticle for enhanced hepatocellular carcinoma therapy
.
Small
.
2023
;
19
(
36
):
e2301149
.
169.
Yuan
Y
,
Cao
W
,
Zhou
H
,
Qian
H
,
Wang
H
.
CLTRN, regulated by NRF1/RAN/DLD protein complex, enhances radiation sensitivity of hepatocellular carcinoma cells through ferroptosis pathway
.
Int J Radiat Oncol Biol Phys
.
2021
;
110
(
3
):
859
71
.
170.
He
Y
,
Li
J
,
Chen
J
,
Miao
X
,
Li
G
,
He
Q
, et al
.
Cytotoxic effects of polystyrene nanoplastics with different surface functionalization on human HepG2 cells
.
Sci Total Environ
.
2020
;
723
:
138180
.
171.
Kim
DH
,
Kim
WD
,
Kim
SK
,
Moon
DH
,
Lee
SJ
.
TGF-β1-mediated repression of SLC7A11 drives vulnerability to GPX4 inhibition in hepatocellular carcinoma cells
.
Cel Death Dis
.
2020
;
11
(
5
):
406
.
172.
Lian
G
,
Gnanaprakasam
JR
,
Wang
T
,
Wu
R
,
Chen
X
,
Liu
L
, et al
.
Glutathione de novo synthesis but not recycling process coordinates with glutamine catabolism to control redox homeostasis and directs murine T cell differentiation
.
Elife
.
2018
;
7
:
e36158
.
173.
Han
C
,
Ge
M
,
Xing
P
,
Xia
T
,
Zhang
C
,
Ma
K
, et al
.
Cystine deprivation triggers CD36-mediated ferroptosis and dysfunction of tumor infiltrating CD8(+) T cells
.
Cel Death Dis
.
2024
;
15
(
2
):
145
.
174.
Iseda
N
,
Itoh
S
,
Toshida
K
,
Tomiyama
T
,
Morinaga
A
,
Shimokawa
M
, et al
.
Ferroptosis is induced by lenvatinib through fibroblast growth factor receptor-4 inhibition in hepatocellular carcinoma
.
Cancer Sci
.
2022
;
113
(
7
):
2272
87
.
175.
Toshida
K
,
Itoh
S
,
Iseda
N
,
Tanaka
S
,
Nakazono
K
,
Tomiyama
T
, et al
.
The impact of TP53-induced glycolysis and apoptosis regulator on prognosis in hepatocellular carcinoma: association with tumor microenvironment and ferroptosis
.
Liver Cancer
.
2024
:
1
22
.
176.
Arensman
MD
,
Yang
XS
,
Leahy
DM
,
Toral-Barza
L
,
Mileski
M
,
Rosfjord
EC
, et al
.
Cystine-glutamate antiporter xCT deficiency suppresses tumor growth while preserving antitumor immunity
.
Proc Natl Acad Sci USA
.
2019
;
116
(
19
):
9533
42
.
177.
Ron-Harel
N
,
Notarangelo
G
,
Ghergurovich
JM
,
Paulo
JA
,
Sage
PT
,
Santos
D
, et al
.
Defective respiration and one-carbon metabolism contribute to impaired naïve T cell activation in aged mice
.
Proc Natl Acad Sci USA
.
2018
;
115
(
52
):
13347
52
.
178.
Ma
EH
,
Bantug
G
,
Griss
T
,
Condotta
S
,
Johnson
RM
,
Samborska
B
, et al
.
Serine is an essential metabolite for effector T cell expansion
.
Cell Metab
.
2017
;
25
(
2
):
345
57
.
179.
Neinast
MD
,
Jang
C
,
Hui
S
,
Murashige
DS
,
Chu
Q
,
Morscher
RJ
, et al
.
Quantitative analysis of the whole-body metabolic fate of branched-chain amino acids
.
Cell Metab
.
2019
;
29
(
2
):
417
29.e4
.
180.
Bonvini
A
,
Coqueiro
AY
,
Tirapegui
J
,
Calder
PC
,
Rogero
MM
.
Immunomodulatory role of branched-chain amino acids
.
Nutr Rev
.
2018
;
76
(
11
):
840
56
.
181.
Neinast
M
,
Murashige
D
,
Arany
Z
.
Branched chain amino acids
.
Annu Rev Physiol
.
2019
;
81
(
1
):
139
64
.
182.
Chen
YY
,
Zhang
XN
,
Xu
CZ
,
Zhou
DH
,
Chen
J
,
Liu
ZX
, et al
.
MCCC2 promotes HCC development by supporting leucine oncogenic function
.
Cancer Cell Int
.
2021
;
21
(
1
):
22
.
183.
Ericksen
RE
,
Lim
SL
,
McDonnell
E
,
Shuen
WH
,
Vadiveloo
M
,
White
PJ
, et al
.
Loss of BCAA catabolism during carcinogenesis enhances mTORC1 activity and promotes tumor development and progression
.
Cell Metab
.
2019
;
29
(
5
):
1151
65.e6
.
184.
Hagiwara
A
,
Nishiyama
M
,
Ishizaki
S
.
Branched-chain amino acids prevent insulin-induced hepatic tumor cell proliferation by inducing apoptosis through mTORC1 and mTORC2-dependent mechanisms
.
J Cell Physiol
.
2012
;
227
(
5
):
2097
105
.
185.
Hosios
AM
,
Hecht
VC
,
Danai
LV
,
Johnson
MO
,
Rathmell
JC
,
Steinhauser
ML
, et al
.
Amino acids rather than glucose account for the majority of cell mass in proliferating mammalian cells
.
Dev Cell
.
2016
;
36
(
5
):
540
9
.
186.
Mita
MM
,
Mita
A
,
Rowinsky
EK
.
Mammalian target of rapamycin: a new molecular target for breast cancer
.
Clin Breast Cancer
.
2003
;
4
(
2
):
126
37
.
187.
Liu
GY
,
Sabatini
DM
.
mTOR at the nexus of nutrition, growth, ageing and disease
.
Nat Rev Mol Cell Biol
.
2020
;
21
(
4
):
183
203
.
188.
Pollizzi
KN
,
Sun
IH
,
Patel
CH
,
Lo
YC
,
Oh
MH
,
Waickman
AT
, et al
.
Asymmetric inheritance of mTORC1 kinase activity during division dictates CD8+ T cell differentiation
.
Nat Immunol
.
2016
;
17
(
6
):
704
11
.
189.
Chi
H
.
Regulation and function of mTOR signalling in T cell fate decisions
.
Nat Rev Immunol
.
2012
;
12
(
5
):
325
38
.
190.
Katzman
SD
,
O’Gorman
WE
,
Villarino
AV
,
Gallo
E
,
Friedman
RS
,
Krummel
MF
, et al
.
Duration of antigen receptor signaling determines T-cell tolerance or activation
.
Proc Natl Acad Sci USA
.
2010
;
107
(
42
):
18085
90
.
191.
Laplante
M
,
Sabatini
DM
.
mTOR signaling in growth control and disease
.
Cell
.
2012
;
149
(
2
):
274
93
.
192.
Rivadeneira
DB
,
DePeaux
K
,
Wang
Y
,
Kulkarni
A
,
Tabib
T
,
Menk
AV
, et al
.
Oncolytic viruses engineered to enforce leptin expression reprogram tumor-infiltrating T cell metabolism and promote tumor clearance
.
Immunity
.
2019
;
51
(
3
):
548
60.e4
.
193.
Chen
Y
,
Xu
Z
,
Sun
H
,
Ouyang
X
,
Han
Y
,
Yu
H
, et al
.
Regulation of CD8+ T memory and exhaustion by the mTOR signals
.
Cell Mol Immunol
.
2023
;
20
(
9
):
1023
39
.
194.
Sadria
M
,
Layton
AT
.
Interactions among mTORC, AMPK and SIRT: a computational model for cell energy balance and metabolism
.
Cell Commun Signal
.
2021
;
19
(
1
):
57
.
195.
Tee
AR
,
Manning
BD
,
Roux
PP
,
Cantley
LC
,
Blenis
J
.
Tuberous sclerosis complex gene products, Tuberin and Hamartin, control mTOR signaling by acting as a GTPase-activating protein complex toward Rheb
.
Curr Biol
.
2003
;
13
(
15
):
1259
68
.
196.
Gerriets
VA
,
Rathmell
JC
.
Metabolic pathways in T cell fate and function
.
Trends Immunol
.
2012
;
33
(
4
):
168
73
.
197.
Powell
JD
,
Delgoffe
GM
.
The mammalian target of rapamycin: linking T cell differentiation, function, and metabolism
.
Immunity
.
2010
;
33
(
3
):
301
11
.
198.
Staron
MM
,
Gray
SM
,
Marshall
HD
,
Parish
IA
,
Chen
JH
,
Perry
CJ
, et al
.
The transcription factor FoxO1 sustains expression of the inhibitory receptor PD-1 and survival of antiviral CD8(+) T cells during chronic infection
.
Immunity
.
2014
;
41
(
5
):
802
14
.
199.
Mak
TW
,
Grusdat
M
,
Duncan
GS
,
Dostert
C
,
Nonnenmacher
Y
,
Cox
M
, et al
.
Glutathione primes T cell metabolism for inflammation
.
Immunity
.
2017
;
46
(
6
):
1089
90
.
200.
Ananieva
EA
,
Powell
JD
,
Hutson
SM
.
Leucine metabolism in T cell activation: mTOR signaling and beyond
.
Adv Nutr
.
2016
;
7
(
4
):
798s
805s
.
201.
Hassannia
B
,
Vandenabeele
P
,
Vanden Berghe
T
.
Targeting ferroptosis to iron out cancer
.
Cancer Cell
.
2019
;
35
(
6
):
830
49
.
202.
Liao
P
,
Wang
W
,
Wang
W
,
Kryczek
I
,
Li
X
,
Bian
Y
, et al
.
CD8+ T cells and fatty acids orchestrate tumor ferroptosis and immunity via ACSL4
.
Cancer Cell
.
2022
;
40
(
4
):
365
78.e6
.
203.
Ma
X
,
Xiao
L
,
Liu
L
,
Ye
L
,
Su
P
,
Bi
E
, et al
.
CD36-mediated ferroptosis dampens intratumoral CD8+ T cell effector function and impairs their antitumor ability
.
Cell Metab
.
2021
;
33
(
5
):
1001
12.e5
.
204.
Hou
C
,
Lv
P
,
Yuan
HF
,
Zhao
LN
,
Wang
YF
,
Zhang
HH
, et al
.
Bevacizumab induces ferroptosis and enhances CD8+ T cell immune activity in liver cancer via modulating HAT1 and increasing IL-9
.
Acta Pharmacol Sin
.
2024
;
45
(
9
):
1951
63
.
205.
Zheng
Y
,
Wang
Y
,
Lu
Z
,
Wan
J
,
Jiang
L
,
Song
D
, et al
.
PGAM1 inhibition promotes HCC ferroptosis and synergizes with anti‐PD‐1 immunotherapy
.
Adv Sci
.
2023
;
10
(
29
):
e2301928
.
206.
Morotti
M
,
Grimm
AJ
,
Hope
HC
,
Arnaud
M
,
Desbuisson
M
,
Rayroux
N
, et al
.
PGE(2) inhibits TIL expansion by disrupting IL-2 signalling and mitochondrial function
.
Nature
.
2024
;
629
(
8011
):
426
34
.
207.
Zhou
SL
,
Zhou
ZJ
,
Hu
ZQ
,
Huang
XW
,
Wang
Z
,
Chen
EB
, et al
.
Tumor-associated neutrophils recruit macrophages and T-regulatory cells to promote progression of hepatocellular carcinoma and resistance to sorafenib
.
Gastroenterology
.
2016
;
150
(
7
):
1646
58.e17
.
208.
Stressed-out T cells linked to immunotherapy resistance
.
Cancer Discov
.
2023
;
13
(
8
):
1752
.
209.
Zhang
F
,
Hu
K
,
Liu
W
,
Quan
B
,
Li
M
,
Lu
S
, et al
.
Oxaliplatin-resistant hepatocellular carcinoma drives immune evasion through PD-L1 up-regulation and PMN-singular recruitment
.
Cell Mol Gastroenterol Hepatol
.
2023
;
15
(
3
):
573
91
.
210.
Song
JS
,
Chang
CC
,
Wu
CH
,
Dinh
TK
,
Jan
JJ
,
Huang
KW
, et al
.
A highly selective and potent CXCR4 antagonist for hepatocellular carcinoma treatment
.
Proc Natl Acad Sci USA
.
2021
;
118
(
13
):
e2015433118
.
211.
Mok
MT
,
Zhou
J
,
Tang
W
,
Zeng
X
,
Oliver
AW
,
Ward
SE
, et al
.
CCRK is a novel signalling hub exploitable in cancer immunotherapy
.
Pharmacol Ther
.
2018
;
186
:
138
51
.
212.
Liu
H
,
Liu
Y
,
Liu
W
,
Zhang
W
,
Xu
J
.
EZH2-mediated loss of miR-622 determines CXCR4 activation in hepatocellular carcinoma
.
Nat Commun
.
2015
;
6
:
8494
.
213.
Xiao
G
,
Jin
LL
,
Liu
CQ
,
Wang
YC
,
Meng
YM
,
Zhou
ZG
, et al
.
EZH2 negatively regulates PD-L1 expression in hepatocellular carcinoma
.
J Immunother Cancer
.
2019
;
7
(
1
):
300
.
214.
Qiang
N
,
Ao
J
,
Nakamura
M
,
Chiba
T
,
Kusakabe
Y
,
Kaneko
T
, et al
.
Alteration of the tumor microenvironment by pharmacological inhibition of EZH2 in hepatocellular carcinoma
.
Int Immunopharmacology
.
2023
:
110068
.
215.
He
W
,
Wang
X
,
Chen
M
,
Li
C
,
Chen
W
,
Pan
L
, et al
.
Metformin reduces hepatocarcinogenesis by inducing downregulation of Cyp26a1 and CD8+ T cells
.
Clin Transl Med
.
2023
;
13
(
11
):
e1465
.
216.
Wang
SF
,
Chou
YC
,
Mazumder
N
,
Kao
FJ
,
Nagy
LD
,
Guengerich
FP
, et al
.
7-Ketocholesterol induces P-glycoprotein through PI3K/mTOR signaling in hepatoma cells
.
Biochem Pharmacol
.
2013
;
86
(
4
):
548
60
.
217.
Butler
M
,
van der Meer
LT
,
van Leeuwen
FN
.
Amino acid depletion therapies: starving cancer cells to death
.
Trends Endocrinol Metab
.
2021
;
32
(
6
):
367
81
.
218.
Leone
RD
,
Zhao
L
,
Englert
JM
,
Sun
IM
,
Oh
MH
,
Sun
IH
, et al
.
Glutamine blockade induces divergent metabolic programs to overcome tumor immune evasion
.
Science
.
2019
;
366
(
6468
):
1013
21
.
219.
Li
Q
,
Zhong
X
,
Yao
W
,
Yu
J
,
Wang
C
,
Li
Z
, et al
.
Inhibitor of glutamine metabolism V9302 promotes ROS-induced autophagic degradation of B7H3 to enhance antitumor immunity
.
J Biol Chem
.
2022
;
298
(
4
):
101753
.
220.
Mao
C
,
Yeh
S
,
Fu
J
,
Porosnicu
M
,
Thomas
A
,
Kucera
GL
, et al
.
Delivery of an ectonucleotidase inhibitor with ROS-responsive nanoparticles overcomes adenosine-mediated cancer immunosuppression
.
Sci Transl Med
.
2022
;
14
(
648
):
eabh1261
.
221.
D’Artista
L
,
Moschopoulou
AA
,
Barozzi
I
,
Craig
AJ
,
Seehawer
M
,
Herrmann
L
, et al
.
MYC determines lineage commitment in kras driven primary liver cancer development
.
J Hepatol
.
2023
;
79
(
1
):
141
9
.
222.
Bisso
A
,
Filipuzzi
M
,
Gamarra Figueroa
GP
,
Brumana
G
,
Biagioni
F
,
Doni
M
, et al
.
Cooperation between MYC and β-catenin in liver tumorigenesis requires yap/taz
.
Hepatology
.
2020
;
72
(
4
):
1430
43
.
223.
Forner
A
,
Reig
M
,
Bruix
J
.
Hepatocellular carcinoma
.
Lancet
.
2018
;
391
(
10127
):
1301
14
.
224.
Vogel
A
,
Meyer
T
,
Sapisochin
G
,
Salem
R
,
Saborowski
A
.
Hepatocellular carcinoma
.
Lancet
.
2022
;
400
(
10360
):
1345
62
.