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REVIEW article

Front. Immunol., 07 January 2026

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1739983

Enzymatic and microenvironmental regulation in adenosine metabolism-mediated immunosuppression

  • 1College of Materials and Chemical Engineering, Minjiang University, Fuzhou, China
  • 2School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan, China

Adenosine (ADO), as an endogenous purine nucleoside, can regulate almost all aspects of tissue function. However, its abnormal accumulation in the tumor microenvironment (TME) induces immune tolerance and promotes tumor immune evasion by activating adenosine receptors (ADOR). Regulating ADO metabolism in the TME holds promise for ameliorating ADO-mediated immunosuppression and restoring antitumor immune responses. Extensive research has highlighted the pivotal role of ADO in tumor immune suppression and preclinical development of inhibitors targeting ADOR. However, systematic integration in ADO metabolism of microenvironmental influences, enzyme and protein regulation, and targeted intervention strategies through multiple pathways remain insufficient. This review systematically summarizes the key aspects of targeting ADO-mediated immunosuppression, including the feature of TME, enzymes involved in ADO metabolism (e.g., CD39/CD73/ADK/ADA), and ADOR interventions. Additionally, the necessity of comprehensively regulating ADO metabolism and the immune microenvironment through multi-level coordinated interventions is also explored, as well as the latest combined regulatory strategies. Moreover, the major challenges in current research on ADO metabolic regulation are also critically analyzed and the future research directions are proposed to address the dual challenges of ADO metabolic diversity and TME complexity, aiming to develop more precise and effective immunotherapeutic strategies.

1 Introduction

Adenosine (ADO), as an endogenous purine nucleoside, is involved in the regulation of multiple physiological and pathological processes, such as myocardial energy metabolism, vasodilation, and inflammation/trauma repair (14). Under physiological conditions, the concentration of extracellular ADO is low (0.05–0.2 μmol/L) (5), which exerts protective effects by suppressing excessive inflammatory responses and immune-mediated tissue damage (6). However, in pathological microenvironments such as solid tumors, factors like hypoxia, chronic inflammation, and nutrient deprivation, an anomalous aggregation of ADO strongly influenced by massive adenosine triphosphate (ATP) release, overexpression of extracellular nucleotide hydrolases, and decreased adenosine kinase (ADK) activity (7, 8). Under these circumstances, ADO concentrations can notably increase by 100 times. Accumulated ADO subsequently activates adenosine receptors (ADOR) to modulate the activity of different immune cells, including macrophages, T lymphocytes, natural killer (NK) cells, dendritic cells (DCs), and myeloid-derived suppressor cells (MDSCs) (9). Through this process, an immunotolerant tumor microenvironment (TME) was ultimately established, laying a favorable background for tumor immune evasion and progression (10, 11). With the widespread recognition of the critical role of the immune system in tumor occurrence and progression, the regulatory effects of ADO metabolism on anti-tumor immune responses have emerged as a research focus (12).

ADO metabolism has high diversity and complexity, including all process of generation, transformation and degradation (10, 13, 14) (Figure 1). As mentioned before, the pathological microenvironments can trigger cell necrosis, apoptosis, and other secretory mechanisms, leading to the release of large amounts of ATP into the extracellular space. The extracellular ADO mainly originates from the hydrolysis of ATP by ectonucleoside triphosphate diphosphohydrolase (CD39) and ecto-5’-nucleotidase (CD73) located on the cell membrane (15, 16). Released ATP is first catalyzed by CD39 to produce adenosine monophosphate (AMP), which is subsequently hydrolyzed by CD73 into ADO. This classical metabolic progress from ATP through AMP to ADO forms the main pathway for extracellular ADO generation and plays a central role in regulating extracellular ADO level (17, 18). The other extracellular ADO comes from the release of intracellular ADO through passive diffusion or active transport. Additionally, nicotinamide adenine dinucleotide (NAD+) undergoes adenosine diphosphate (ADP) ribosylation reaction under the catalysis of CD38 (an NAD oxidase), producing ADP ribose (ADPR) or related intermediates. ADPR can then be further converted into AMP by CD203a or ectonucleotide pyrophosphatase/phosphodiesterase 1, and ultimately generate ADO via CD73-mediated catalysis (19, 20). By comparison, intracellular ADO metabolism is regulated by the coordinated action of multiple enzymes, including the process of phosphorylation, degradation, and endogenous generation. Under the catalysis of ADK, intracellular ADO can undergo phosphorylation reaction to generate AMP, reintegrated into the energy metabolism cycle (21). Under the catalysis of adenosine deaminase (ADA), ADO can be irreversibly degraded into inosine (INO) (22). For the intracellular ADO generation, it is endogenously generated through the dephosphorylation of AMP by cytoplasmic nucleotidase (cNT) (13). Moreover, S-adenosylhomocysteine (SAH) can also be hydrolyzed by SAH hydrolase (SAHH) to produce ADO and homocysteine, providing an alternative pathway for intracellular ADO generation and closely linked to cellular methylation reactions and epigenetic regulation (23).

Figure 1
Biochemical pathway illustration showing ATP conversion to ADP and AMP via CD39 and further to adenosine (ADO) by CD73. ADO converts to inosine (INO) through ADA. Structures include ATP, NAD+, ADPR, with transport proteins (Cx, CNT, ENT) and enzymes (NDPK, AK, PDE, AC, ADK, cNT, SAHH) within a cell membrane depicting extracellular and intracellular environments.

Figure 1. Schematic diagram of extracellular and intracellular ADO metabolism pathways. AC: Adenylate cyclase; ADP: Adenosine diphosphate; ADPR: Adenosine diphosphate ribose; AK: Adenylate kinase; AMP: Adenosine monophosphate; ATP: Adenosine triphosphate; cAMP: Adenosine 3’,5’-cyclic monophosphate; Cx: Connexin hemichannels; CNT/ENT: Nucleoside transporters; cNT: Cytosolic nucleotidase; INO: Inosine; NAD+: Nicotinamide adenine dinucleotide; NDPK: Nucleotide diphosphokinase; PDE: Phosphodiesterase; SAH: S-Adenosylhomocysteine; SAHH: S-Adenosylhomocysteine hydrolase.

In recent years, multiple authoritative reviews have systematically elaborated on the key advancements of ADO signaling and ADO-mediated immunosuppression in immunotherapy, demonstrating significant clinical translation potential (2427). For instance, Luca Antonioli’s team elucidated the role of ADO and its receptors in regulating the complex interaction among immunity, inflammation, endothelial cells and cancer cells in the process of tumor disease (1). Detlev Boison’s group not only clarified the comprehensive mechanism of ADO metabolism but also emphasized the urgent need of the entire purine metabolome profiling for screening immunotherapy targets (13). Ling Ding’s team focused on the inhibitory effect and molecular mechanism of ADO on tumor adaptive immunity and summarized the clinical treatment progress of targeting the ADO pathway (28). These studies collectively promote the translation of ADO metabolism from fundamental mechanisms to clinical applications. However, systematic integration in ADO metabolism of microenvironmental influences, enzyme and protein regulation, and targeted intervention strategies through multiple pathways is still insufficient. This review systematically summarizes the key aspects of targeting ADO-mediated immunosuppression, including the feature of TME, enzymes involved in ADO metabolism (e.g., CD39/CD73/ADK/ADA), and ADOR interventions. The necessity of comprehensive regulation of ADO metabolism and the immune microenvironment through multi-level coordinated interventions is also explored. Furthermore, the major challenges in current research on ADO metabolic regulation have been thoroughly analyzed and the future research directions have been proposed. Given the dual challenges posed by the diversity of ADO metabolism and the complexity of TME, these efforts aim to address the difficulty of single target regulation in ADO-mediated immunosuppression, thereby providing the theoretical foundation for developing precise and effective immunotherapeutic strategies.

2 Signaling mechanisms of ADO-mediated immunosuppression

After being released into the extracellular space, ADO exerts immunomodulatory effects by binding to four G protein-coupled receptors (A1R, A2AR, A2BR, A3R) (2931). These receptors are widely distributed in various tissues of the human body, but there are significant differences in affinity for ADO (32). A1R display high affinity and usually require 1–10 nM ADO concentration (33), which is the highest affinity among the four receptors. In contrast, A2AR, A2BR and A3R have lower affinity. Among them, A2BR has the lowest affinity for ADO (approximately 1000 nM) (34). A1R and A3R primarily transmit signals by inhibiting the formation of cAMP; whereas A2AR and A2BR participate in subsequent signal transduction through activation of AC and upregulation of cAMP levels that control the activity of various cells (3538).

Under both physiological and pathological conditions, ADO primarily mediates immune regulation through the low-affinity receptors A2AR and A2BR (39). For example, ADO has specific immunomodulatory effects on the maturation, migration, and effector functions of NK cells. It markedly reduced their cytotoxic activity via A2AR signaling (40, 41), leading to tumor immune escape in several solid tumors by cAMP-dependent signaling that mediates protein kinase A (PKA) engagement (42). ADO also inhibits monocyte differentiation into macrophages through dual mechanisms of A2AR and A2BR, and promotes the polarization of macrophages from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype (43). For DCs, ADO activates A2AR/A2BR on the surface of DCs and increases intracellular cAMP levels, which selectively target the protein kinase A/exchange protein activated by cAMP (PKA/EPAC) signaling pathway, leading to the inhibition of pro-inflammatory factor secretion (IL-12, TNF-α, IL-6, IL-8), and the promotion of anti-inflammatory/immunosuppressive factor release (IL-10, TGF-β, IDO, arginase 2, COX2), ultimately significantly reducing DCs antigen presentation ability (44, 45). At the T cell level, ADO impairs CD4+ T cell function and induces their conversion toward an immunosuppressive phenotype via A2AR and A2BR. ADO also inhibits CD8+ T cell proliferation, differentiation, and the production of effector cytokine through activating A2AR (46, 47). Among them, CD8+ T central memory cells (TCM) in the TME are particularly sensitive to ADO due to their high expression of A2AR. Elevated ADO in the TME continuously regulates TCM through A2AR, ultimately leading to functional failure of CD8+ T cells (48).

Furthermore, ADO can amplify the function of immunosuppressive cells by activating the forkhead box P3/lymphocyte activating 3 (FOXP3/LAG3) pathways via A2AR to promote regulatory T cell (Treg) differentiation (49, 50), and upregulating cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1) expression to strengthen the suppression of effector T cells. The accumulation of ADO has been confirmed to be the main mechanism by which Tregs exert immunosuppression (51). For myeloid cells, ADO enhances immunosuppressive activity of MDSCs through A2AR/A2BR via both the STAT3 and CREB signaling pathways, and contributes to tumor tissue remodeling and immunosuppressive microenvironment construction (52, 53).

Within the intricate immune regulation inherent the TME, ADOR expressed on specific cell surfaces is the pivotal molecular switch determining whether ADO transmits pro-tumor or anti-tumor signals. Collectively, the immunomodulatory effects of ADO are highly dependent on the differential expression of specific ADOR subtypes on various immune cells, thereby maybe mediating diametrically opposed biological functions (54). Among these, the A2A and A2B receptors are the primary subtypes responsible for mediating the immunosuppressive effects of ADO, particularly dominating in the immunosuppressive TME characterized by high ADO concentrations (5557). Activation of this signaling pathway can inhibits the functionality of effector cells while activates immunosuppressive cells, ultimately blocking the immune response. Interestingly, the expression preferences of different immune cell subsets for specific receptor subtypes will provide precise entry points for development of A2AR and A2BR antagonists that target the intervention of ADO-mediated immunosuppression.

3 Strategies for targeting ADO-mediated immunosuppression

3.1 Targeting the hypoxic features of the tumor microenvironment

The immunosuppressive effect of TME is often driven by various abnormal features, among which hypoxia and acidity are the two most representative characteristics. Many solid tumors exhibit obvious insufficient local oxygen supply and persistent or chronic hypoxia due to rapid proliferation and vascular abnormalities, ultimately drives ADO-mediated immunosuppression (10, 58, 59). Under hypoxic condition, the expression of the hypoxia-inducible factor 1α (HIF-1α) significantly upregulates, leading to transcriptional activation of CD39 and CD73 expression levels (by 6 ± 0.5-fold compared to normoxic levels) (60, 61). This regulatory effect accelerates the extracellular conversion of ATP to ADO (Figure 2). Simultaneously, by upregulating the expression of A2AR and A2BR on the surface of immune cells, hypoxia also enhances the ADO-induced immunosuppressive signal (6264). Furthermore, hypoxia extends the extracellular half-life of ADO by inhibiting ADK activity and the expression of nucleoside transporters (65, 66). These mechanisms collectively enable the hypoxic TME not only to convert pro-inflammatory ATP into ADO, but also to amplify ADO’s immunosuppressive function by prolonging action time and enhancing receptor sensitivity. Consequently, targeting the hypoxic TME becomes an effective entry point to block the abnormal accumulation of ADO in the TME.

Figure 2
Flowchart illustrating a biological pathway: TME Hypoxia increases HIF-1α, which upregulates CD39 and CD73. These enzymes convert ATP to ADO, activating receptors A2AR and A2BR.

Figure 2. The hypoxic TME upregulates the expression of CD39 and CD73 via HIF-1α, accelerates the conversion of extracellular ATP into ADO, promotes the expression of A2AR and A2BR, and enhances the inhibitory effect of ADO on immune cells.

Oxygenation strategies reshapes the “physiological oxygenation” microenvironment by improving tumor oxygenation levels in the TME, thereby reconstructing a “normoxic” microenvironment. It is reported that the supplemental oxygenation reprograms the hypoxic proteome and metabolome of tumors, prevents the inhibition of T cells and NK cells and decreases Treg cell populations, ultimately enhancing antitumor immune rejection (67). Respiratory hyperoxia therapy disrupts the immunosuppressive microenvironment by reducing the degree of tumor hypoxia and concentration of extracellular ADO, reversing the hypoxia-adenosinergic immunosuppression in the TME. The main manifestations were evidenced by elevated pro-inflammatory cytokines, reduced inhibitory molecules like TGF-β, and suppressed Treg cell activity (68). Additionally, iron-based compounds catalyze the generation of oxygen from excess H2O2 through Fenton-like reactions (69, 70), alleviating hypoxia and inhibiting ADO production. By regulating ADO levels, iron-based compounds can activate antitumor immune responses with increasing T cells and DCs while reducing Treg infiltration (71). In short, these interventions targeting hypoxia block the generation of ADO from the source, relieve microenvironmental immunosuppression, and enhance the antitumor efficacy of effector cells.

3.2 Targeting the acidic features of the tumor microenvironment

It is worth noting that the microenvironmental abnormalities of TME are not only manifested as hypoxia, but also accompanied by characteristic acidification. Under physiological conditions, the extracellular acid-base state of most normal tissues remains relatively stable, with pH value typically between 7.3 and 7.4. TME exhibits weak acidity (pH 6.7-7.1) due to lactate accumulation, inadequate perfusion, and uncontrolled proliferation caused by the Warburg effect of tumor cells (72, 73). This feature also has obvious regulatory influence on ADO metabolism and immune function. Under acidic conditions, the enzyme activity and expression levels of CD39 and CD73 different from those under neutral conditions (7476), affecting the cascading hydrolysis of extracellular ATP/ADP to AMP and subsequently to ADO. In addition, HIF-1α can be activated by the dual stimuli of hypoxia and acidic microenvironment (77), increasing the production of ADO and amplifying the immunosuppressive state. Some studies have shown that the acidic microenvironment can inhibits ADO degradation by affecting the stability or substrate binding efficiency of ADA (7879). Meanwhile, by modulating the expression or function of purine metabolism-related transporters, the acidic characteristics indirectly influence the intracellular and extracellular distribution and dynamic equilibrium of ADO (8082). All these above mechanisms confirm that targeting the acidic characteristics of the TME provides enormous potential for regulating ADO metabolism.

Existing studies have demonstrated that pH-balancing agents (83, 84) such as sodium bicarbonate, imidazole, and lysine can effectively inhibit tumor metastasis by neutralizing tumor-derived acidic substances. The acidic TME has also motivated the development of a variety of pH-responsive nanomaterials (85, 86). For example, Liu’s group designed polydopamine nanocarrier loaded with A2AR inhibitor coated by an acidic TME sensitive PEG shell to target the negative feedback of ADO-A2AR metabolic pathway. It weakens the metabolic inhibition of ADO and enhances the immune response of immunogenic cell death by promoting DC activation, increasing CD8+ T lymphocyte infiltration, and reducing MDSCs number (87). Similarly, the acid-responsive phosphatidylcholine-coated nanoparticles with poly-l-histidine core were constructed to achieve the release of the encapsulated CPI-444 in acidic TME and reverse Glioblastoma immunosuppressive microenvironment by targeting the ADO-A2AR pathway (88). Additionally, the engineered biohybrid Bc@AZTF was designed to interference of ATP-ADO Axis, which can actively enrich in tumor sites and respond to the acidic TME, consuming intracellular ATP content while inhibiting the ATP-ADO axis to reduce ADO accumulation, thereby alleviating ADO-mediated immunosuppression (89). These pH-balancing agents and pH-responsive nanomaterials employ differentiated mechanisms including direct neutralization, targeted release, or microenvironment regulation, to target the acidic TME. They not only achieve dynamic balancing or directional regulation of acidic substances but also provide a crucial intervention window for subsequent immunosuppressive therapy targeting ADO metabolism. By improving the acidic microenvironment of the TME, the generation of ADO can be blocked and the degradation efficiency of ADO can be improved, thereby reversing the immunosuppressive state.

3.3 Targeting enzymatic metabolic pathways

3.3.1 CD39 & CD73

The homeostasis of ADO metabolism depends on the precise coordination of ADO-generating enzymes and ADO-clearing enzymes, which jointly regulate ADO levels. In the TME, the aberrant expression and activity alterations of these key enzymes weakens ATP-mediated immune stimulation and enhances ADO-mediated immune suppression, ultimately synergistically promoting the formation of immunosuppressive microenvironment. CD39 and CD73, as cell membrane-bound ADO-generating enzymes, are key rate limiting steps in regulating extracellular ADO generation (90). These two phosphatases are abnormally overexpressed in various tumor tissues and convert ATP into ADO through a cascade reaction, resulting in a significant imbalance of ATP/ADO ratio (9193).

Extensive experimental evidence confirms that targeting CD39/CD73 pathway is central to tumor immune escape. Targeted therapeutic strategies against this pathway, including gene intervention, antibody therapy, and small-molecule inhibitors, have demonstrated significant efficacy across multiple tumor models. Targeted inhibition of CD39 with anti-CD39 antibody under preclinical development can relieve T cell proliferation inhibition and enhance cytotoxic T lymphocyte (CTL)/NK cell toxicity (94). By adopting the CD73 gene knockout strategy in ovarian tumor model, it was found in mouse with normal immune function that CD73 knockout can induce complete tumor regression in all tumor-bearing mice. In contrast, in tumors without knocking down CD73, simple immunotherapy did not show significant efficacy (95). Anti-CD73 monoclonal antibodies, in models such as breast cancer (4T1.2/E0771) (96) and head and neck squamous cell carcinoma (97), not only suppressed primary tumor growth and metastasis by inducing adaptive antitumor immunity but also reversed T-cell exhaustion. In pancreatic ductal adenocarcinoma model, CD73 was identified as a key gene overexpressed in the top 10% and exhibited identical molecular features to the most aggressive and poorest-prognosis squamous/basal subtypes. Delivery of CD73 small-molecule inhibitors through multiple routes significantly inhibited tumor growth (98). The immunoevasive subtype of cervical cancer and the patient subpopulation of CD8+ T cells with high CD39 expression, due to enhanced CD39 enzymatic activity leading to excessive ADO production, drive immune evasion and poor prognosis. Targeted inhibition of CD39 not only enhances the cytotoxicity of CD8+ tumor-infiltrating lymphocytes (TILs) but also promotes B cell infiltration, thereby amplifying the anti-tumor immune effect of PD-1 blockade (99). Overall, the above studies targeting CD39/CD73 enzyme can effectively reverse immune suppression and improves antitumor immunity, as well as provide multidimensional experimental support for developing subtype-specific treatment strategies.

3.3.2 ADK

As mentioned above, the homeostasis of ADO metabolism depends not only on the regulation of its generation but also requires the coordination of clearing pathways. Among these, ADK is the key ADO-clearing enzyme that catalyze the conversion of ADO to AMP (21). By phosphorylating ADO into AMP, ADK can eliminate excess extracellular ADO and maintain immune balance (100). On the contrary, inhibiting ADK activity or suppressing its expression can lead to an increase in ADO. Therefore, the expression and catalytic activity of ADK is crucial in regulating the ADO phosphorylation reaction. Gu’s group, through gene knockout to decrease ADK expression levels or ablate its function, demonstrated that ADK regulated ADO metabolism maintains the protein arginine methyltransferase 5-catalyzed symmetric dimethylation at the R606 site of the receptor-interacting serine/threonine kinase (RIPK) death domain, thereby inhibiting overactivation of RIPK1 and cell death, and thus preserving hepatic homeostasis (101).

For ADK activity, the structural characteristics of its active site directly determine substrate binding efficiency and reaction kinetics (102104). However, in the TME, high concentrations of ADO inhibit enzyme activity by occupying the active sites of ADK, hindering the binding of ATP to the enzyme, reducing catalytic efficiency, and ultimately suppressing enzymatic activity (105, 106). Research has demonstrated that under physiological/neutral or weakly acidic conditions, phosphate ions can form stable ternary complexes with ADO and ADK through hydrogen bonding, thereby restoring ADK’s catalytic activity and promoting the conversion of ADO to AMP (107, 108). Based on this mechanism, exogenous phosphate supplementation to activate ADK and promote ADO phosphorylation provide potential strategy for regulating ADO levels (Figure 3).

Figure 3
Chemical reaction diagram showing adenine and a phosphate group on the left reacting with diphosphate and adenine to form two adenine monophosphate molecules. An arrow indicates the reaction direction, labeled with phosphate ion and ADK.

Figure 3. Schematic diagram of phosphate-promoted ADK catalyzed phosphoryl transfer reaction.

Building on this theoretical foundation, material-mediated studies has been conducted to regulate ADK activity. Enzymatic kinetic analysis confirmed that the release phosphate from black phosphorus (BP) (109, 110) and calcium phosphate (CaP) nanomaterials (71) can restore ADK catalytic activity and accelerate the conversion of ADO to AMP in the simulated TME. This research provides a novel intervention strategy that integrates material innovation with enzyme-specific regulation of the ADO metabolic pathway, ultimately achieving ADK enzyme activity regulation and reducing the accumulation of ADO.

3.3.3 ADA

In addition to ADK, ADA also constitutes a key line of defense for clearing ADO. ADA primarily catalyzes the conversion of ADO to INO in the purine metabolic pathway (111, 112). When ADA expression is downregulated or its activity is inhibited, it can also lead to ADO accumulation (113). Its activity abnormalities are closely associated with the occurrence and development of various immune-related diseases (114116). S. Bagheri and colleagues systematically analyzed dynamic changes in ADA activity under various pathological conditions, elucidating the specific molecular mechanisms by which ADA inhibition contributes to disease pathogenesis (117). Targeting ADA maybe expected to a promising strategy for modulating ADO metabolism and diseases treatment.

There are few reports on intervention strategies for ADA regulation. Currently, known intervention agents include Daidzin, erythro-9-(2- hydroxy-3-nonyl) adenine (EHNA), insulin and polyethylene glycol coupled adenosine deaminase 2 (PEGADA2). Daidzin was reported to exhibit high specificity and strong binding affinity for ADA2, inducing conformational changes in the dimerization domain of ADA2 while leaving the structure of ADA1 unchanged, suggesting that it may serve as a specific therapeutic agent for modulating ADA in the TME (118). After EHNA treatment in cervical cancer cells (119) or insulin treatment (120) in various tissues, ADA activity shows significant decrease trend. PEGADA2 effectively suppress tumor growth and influence immune responses within the tumor microenvironment by targeting ADA activity (121). Furthermore, the strategy of regulating ADA expression via genetic engineering to achieve intratumoral ADO clearance has now begun to be reported in relevant studies. For example, researcher has encoded ADA into an oncolytic herpes simplex virus targeted to human HER2 and constructed engineered ADA carrying an ectopic signal peptide, aiming to enhance its enzymatic secretion efficiency and achieve effective clearance of intratumoral adenosine (122). A genetically engineered strain of Escherichia coli Nissle 1917 that expresses ADA on its surface under hypoxic conditions was reported to achieve in situ ADO elimination in tumors via genetic engineering (123).

3.4 Targeting ADOR signaling pathway

The physiological effects of ADO exhibit diversity, depending on the implicated receptor subtype, its location, and the tissue circumstances (38). Therefore, targeting ADOR to enhance antitumor immune response or reshape the TME has become a highly promising cancer treatment strategy. Researchers have used ADO as the core to simulate or block its function, and combine the subtype differences of ADOR to screen for corresponding agonists and antagonists. Based on multidimensional strategies such as in vitro functional evaluation, computer-aided design, in vivo pharmacological validation, and structural biology analysis, a series of highly active and selective candidate molecules have been successfully developed and extensively evaluated in preclinical models and clinical trials (4, 37, 124).

For A2AR, the agonist HENECA (125, 126) influences the immune response within the tumor microenvironment by increasing AC level and intracellular cAMP and suppressing p38 MAPK and activating transcription factor-2 (ATF-2) phosphorylation. While A2AR antagonist, such as TP455 (127), ZM241385, CPI-444 (128), PBF-509 (129, 130), AZD4635 (131), restore immune response and enhance the effectiveness of immunotherapy by the decreasing AC level and cAMP production transduction mechanisms. For A2BR, the antagonists including PSB1115 (132), PSB603 (133), ATL801 (45), PBF-1129 (134) block A2BR to modulate metabolic TME and immunosuppression, ultimately suppressing tumor growth and metastasis. In addition, AB928 (135, 136) and Etrumadenant (137), as dual A2A/A2B antagonists, also play an important role in cancer immunotherapy and ultimately exert anti-tumor effects by blocking immunosuppressive and pro-tumor signals.

All in all, current research has thoroughly investigated the pharmacological properties of different ADOR subtypes, their agonist/antagonist effects, efficacy and safety profiles in preclinical models, as well as the progress and challenges of existing drugs in clinical trials (1, 28, 33, 58, 138, 139), aiming to systematically identify key bottlenecks in the development of ADOR-targeted therapeutics, including issues such as insufficient receptor selectivity, tumor heterogeneity, dynamic changes in the microenvironment, and the synergistic or antagonistic interactions with other immunotherapies.

4 Combined modulations of ADO-mediated immunosuppression

Although small-molecule inhibitors targeting CD39 and CD73, or directly blocking ADOR have demonstrated certain therapeutic potential in recent years to alleviate the ADO-mediated immunosuppression. However, these strategies still face significant challenges, including short drug circulation half-life, rapid metabolic clearance, inability of single-target to comprehensively regulate ADO-mediated immunosuppression. To address the issues of the multi-step complexity, target heterogeneity, and limitations of single interventions, combined strategies for ADO-mediated immunosuppression is conducted through synergistic intervention in different metabolic nodes, ultimately enhancing anti-tumor immunity or reversing pathological states (140, 141). Based on this principle, various combinations have been developed, such as “enzyme/ADOR regulation and microenvironment regulation”, “enzyme/ADOR regulation and immune checkpoint”, and “enzyme/ADOR regulation and chemotherapy/radiotherapy”.

For the combined strategy of microenvironment regulation and enzyme regulation, CaP@Fe-MOFs designed and constructed to simultaneously tackle the dual challenges of ADO metabolism and the hypoxic TME. This material promotes the phosphorylation of ADO by ADK, accelerating the conversion of ADO to AMP. Meanwhile, oxygen was generated via Fenton-like reaction to ameliorate the hypoxic TME, thereby reducing the production of ADO form its source and alleviating immunosuppression (71). For the combined strategy of enzyme/ADOR regulation and immune checkpoint, ADO accumulation in the TME is reduced by inhibiting ADO-producing enzymes or activating ADO-degrading enzymes. Simultaneously, combining immune checkpoint inhibitors can alleviate T cell exhaustion and double weaken the immune suppression (142, 143). For example, CD73 inhibitor AB680 combined with anti-PD-1 therapy effectively elicits anti-tumor immune response, ultimately limiting tumor progression and potentiating therapeutic efficacy (144). Patients in recurrent epithelial ovarian cancer (EOC) with combination immunotherapy of oleclumab/anti-CD73 and durvalumab/anti-PD-L1 revealed that CD14+CD16- myeloid cells increased (145). In an orthotopic metastatic ovarian cancer mouse model, the combination of anti-CD73 with anti-OX40 significantly increased cytotoxic T-cell infiltration, decreased tumor-promoting immune cells, and simultaneously enhance antibody-mediated immune responses (146). Targeting ADOR in combination with PD-1/PD-L1 antibodies was also reported to overcome immunosuppression (37). Specifically, CD38 suppresses T-cell function via ADOR signaling. The combination of anti-CD38 therapy or ADOR antagonists with anti-PD-L1 effectively overcomes PD-1/PD-L1 resistance (147, 148). For the combined strategy of enzyme/ADOR regulation and chemotherapy/radiotherapy, by using ADOR antagonists to block the inhibitory signals of ADO on immune cells, while combining with radiotherapy, chemotherapy, and oncolytic viruses (86), this strategy utilizes immunogenic cell death to release tumor antigens and activate adaptive immunity. Clinical trials have demonstrated ADOR ligands can significantly enhance anticancer efficacy, particularly when combined with chemotherapy (149). For ease of reference, we have systematically sorted out key information of combined modulations of ADO-mediated immunosuppression in recent years such as combined strategy, experimental model, and related experimental results (Table 1). Altogether, based on the advantages and limitations of various anti-tumor treatment methods, multimodal collaborative strategies not only alleviate immunosuppression and enhance immune responses, but also provide effective strategy for precision tumor treatment.

Table 1
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Table 1. Research on the combined regulations for ADO-mediated immunosuppression, along with their functional molecule, drug doses, routes of administration and primary outcomes.

5 Conclusion and prospects

During tumor development, metabolic and microenvironmental abnormality drives ADO accumulation, the ADO level in the TME significantly increases compared to normal physiological levels. By activating ADOR signaling pathways, ADO suppresses tumor antigen presentation, T cell activation and infiltration, and cytotoxic T lymphocyte-mediated tumor cell killing, thereby exerting immunosuppressive effects and promoting tumor immune evasion. Targeted interventions of ADO metabolism-mediated immunosuppression have emerged as crucial breakthrough direction. Due to the disruption of the dynamic balance between ADO generation and clearance, coupled with the persistent maintenance of an immunosuppressive state in the TME, single-target strategies often exhibit limited efficacy. The combination therapy strategy become an effective approach to overcome the inherent defects of single-target and improve treatment efficacy in cancer immunotherapy, such as “enzyme/ADOR regulation and microenvironment regulation”, “enzyme/ADOR regulation and immune checkpoint”, and “enzyme/ADOR regulation and chemotherapy/radiotherapy”. In addition to gene intervention, antibody therapy, and small molecule inhibitors, responsive nanomaterials are also rapidly developing in these combined strategies. A series of TME-responsive nano-delivery systems have been constructed to achieve targeted drug (inhibitor, antagonist, agonist, etc.) enrichment and controlled release, as well as in situ oxygen generation strategies to improve immunosuppressive TME. Combination strategies that integrate enzyme/ADOR/microenvironment regulation with other metabolic intervention (169) are equally indispensable.

In combination therapy targeting ADO metabolism-mediated immunosuppression, tumor subtype specificity will also be an important factor to consider. ADO metabolic characteristics of different tumor subtypes exhibit significant heterogeneity (170171). As mentioned in section of CD39 & CD73, across different tumor subtypes, significant heterogeneity exists in the expression levels and catalytic activities of key metabolic enzymes. This difference directly affects the efficacy and risk of side effects of drugs targeting the pathway of ADO metabolism (172, 173). In addition, ADOR are all G protein-coupled receptors and their signaling pathways exhibit crosstalk. Depending on the receptor subtype, tumor subtype, and the TME, these pathways play diverse roles in tumor progression, sometimes promoting or inhibiting tumor growth (174176). For tumor patients with overexpression of related genes and phenotypic features, in-depth analysis of ADOR subtype and tumor subtype is a prerequisite for constructing subtyping-guided targeting strategies in clinical trials. To sum up, in view of the advantages and limitations of various anti-tumor treatment methods, optimizing combined therapeutic strategies in conjunction with subtype specificity is the key path to achieve precise regulation.

This review systematically summarizes the key aspects of targeting ADO-mediated immunosuppression, including the feature of TME, enzymes involved in ADO metabolism (e.g., CD39/CD73/ADK/ADA), and ADOR interventions. Additionally, the necessity of comprehensively regulating ADO metabolism and the immune microenvironment through multi-level coordinated interventions is also explored, as well as the latest combined regulatory strategies. All in all, given the immunosuppressive state of the microenvironment, the complexity of the ADO pathway, and its impact on multiple cell types, it profoundly affects immune cell function and tumor progression. Further integration of “microenvironment responsive delivery, multi-enzyme combination targeting, precise subtypes, and multi-pathway synergy” (Figure 4) is needed to deepen our understanding of tumor immune evasion phenomena and provide feasible pathways for immunometabolic therapy.

Figure 4
Diagram illustrating adenosine-driven immunosuppression strategies. Four sections are depicted. Top-left: targeting hypoxic/acidic tumor environments, showing reduced oxygen and pH. Top-right: targeting enzymatic pathways with CD39 and CD73. Bottom-left: targeting ADOR signaling with ADO receptors (A1R, A2AR, A2BR, A3R) inhibited. Bottom-right: combined modulation for ADO-driven immunosuppression, highlighting enzyme/ADOR regulation and microenvironment regulation or immune checkpoint, chemotherapy, or radiotherapy. Central circle shows adenosine molecule structure.

Figure 4. Develop a comprehensive strategy for immune suppression driven by ADO metabolic abnormalities through “multi-enzyme combinatorial targeting, microenvironment-responsive delivery, precision subtyping and multi-pathway synergy”.

Author contributions

CL: Writing – original draft, Investigation, Methodology. LC: Writing – original draft, Investigation, Methodology. ZL: Supervision, Writing – review & editing, Writing – original draft. LL: Conceptualization, Funding acquisition, Writing – review & editing, Writing – original draft, Supervision. BL: Writing – review & editing, Conceptualization.

Funding

The author(s) declared that financial support was received for this work and/or its publication. Supported by the Natural Science Foundation of Fujian Province (No. 2023J05245), and the Pre-research Project for Introduced Talents of Minjiang University (No. MJY23007).

Conflict of interest

The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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Glossary

AC: Adenylate cyclase

ADA: Adenosine deaminase

ADK: Adenosine Kinase

ADP: Adenosine diphosphate

ADPR: ADP ribose

ADO: Adenosine

ADOR: Adenosine receptors

AK: Adenylate kinase

AMP: Adenosine monophosphate

ATP: Adenosine triphosphate

Bc@AZTF: Bacterial cells@ZIF-90&AB680& Tannic acid&iron-polyphenol

BP: Black phosphorus

CaP: Calcium phosphate

cAMP: Adenosine 3',5'-cyclic monophosphate

CD4: Cluster of differentiation 4

CD8: Cluster of differentiation 8

CD16: Cluster of differentiation 16

CD38: Cluster of differentiation 38

CD39: Ectonucleoside triphosphate diphosphohydrolase

CD73: Ecto-5'-nucleotidase

CNT/ENT: Concentrative nucleoside transporter/Equilibrative nucleoside transporter

cNT: Cytoplasmic nucleotidase

COX2: Cyclooxygenase-2

CREB: cAMP response element-binding protein

CTLA-4: Cytotoxic T-lymphocyte-associated protein 4

CTL: Cytotoxic T lymphocyte

Cx: Connexin hemichannels

DCs: Dendritic cells

EHNA: Erythro-9-(2- hydroxy-3-nonyl) adenine

EPAC: Exchange protein activated by cAMP

Fe-MOFs: Iron-based metal-organic frameworks

FOXP3: Forkhead box P3

HER2: Human epidermal growth factor receptor 2

HIF-1α: Hypoxia-inducible factor 1α

IL-6: Interleukin-6

IL-8: Interleukin-8

IL-10: Interleukin-10

IL-12: Interleukin-12

IDO: Indoleamine 2,3-dioxygenase

INO: Inosine

LAG3: Lymphocyte activating 3

MDSCs: Myeloid-derived suppressor cells

NAD: Nicotinamide adenine dinucleotide

NADP: Nucleotide diphosphokinase

NK: Natural killer

ORR: Objective response rate

PD-1: Programmed cell death protein 1

PD-L1: Programmed death-ligand 1

PEGADA2: polyethylene glycol coupled adenosine deaminase 2

PFS: Progression-free survival

PKA: Protein kinase A

SAH: S-adenosylhomocysteine

SAHH: SAH hydrolase

STAT3: Signal transducer and activator of transcription 3

TCM: T central memory cells

TGF-β: Transforming growth factor-β

TILs: Tumor-infiltrating lymphocytes

TME: Tumor microenvironment

TNF-α: Tumor necrosis factor-α

Treg: Regulatory T cell

References

1. Antonioli L, Blandizzi C, Pacher P, and Haskó G. Immunity, inflammation and cancer: a leading role for adenosine. Nat Rev Cancer. (2013) 13:842–57. doi: 10.1038/nrc3613

PubMed Abstract | Crossref Full Text | Google Scholar

2. Antonioli L, Colucci R, Pellegrini C, Giustarini G, Tuccori M, Blandizzi C, et al. The role of purinergic pathways in the pathophysiology of gut diseases: Pharmacological modulation and potential therapeutic applications. Pharmacol Ther. (2013) 139:157–88. doi: 10.1016/j.pharmthera.2013.04.002

PubMed Abstract | Crossref Full Text | Google Scholar

3. Muller-Haegele S, Muller L, and Whiteside TL. Immunoregulatory activity of adenosine and its role in human cancer progression. Expert Rev Clin Immunol. (2014) 10:897–914. doi: 10.1586/1744666X.2014.915739

PubMed Abstract | Crossref Full Text | Google Scholar

4. Vijayan D, Young A, Teng MWL, and Smyth MJ. Targeting immunosuppressive adenosine in cancer. Nat Rev Cancer. (2017) 17:709–24. doi: 10.1038/nrc.2017.86

PubMed Abstract | Crossref Full Text | Google Scholar

5. Liu Y-J, Chen J, Li X, Zhou X, Hu Y-M, Chu S-F, et al. Research progress on adenosine in central nervous system diseases. CNS Neurosci Ther. (2019) 25:899–910. doi: 10.1111/cns.13190

PubMed Abstract | Crossref Full Text | Google Scholar

6. Porkka-Heiskanen T and Kalinchuk AV. Adenosine, energy metabolism and sleep homeostasis. Sleep Med Rev. (2011) 15:123–35. doi: 10.1016/j.smrv.2010.06.005

PubMed Abstract | Crossref Full Text | Google Scholar

7. Young A, Ngiow SF, Madore J, Reinhardt J, Landsberg J, and Chitsazan A. Targeting Adenosine in BRAF-Mutant Melanoma Reduces Tumor Growth and Metastasis. Cancer Res.. (2017) 77:4684–96. doi: 10.1158/0008-5472.CAN-17-0393

PubMed Abstract | Crossref Full Text | Google Scholar

8. Di Virgilio F, Sarti AC, Falzoni S, De Marchi E, and Adinolfi E. Extracellular ATP and P2 purinergic signalling in the tumour microenvironment. Nat Rev Cancer. (2018) 18:601–18. doi: 10.1038/s41568-018-0037-0

PubMed Abstract | Crossref Full Text | Google Scholar

9. Antonioli L, Fornai M, Pellegrini C, D’Antongiovanni V, Turiello R, Morello S, et al. Adenosine signaling in the tumor microenvironment. In: Birbrair A, editor. Tumor microenvironment: Signaling Pathways – Part B. Springer International Publishing, Cham (2021). p. p145–67.

Google Scholar

10. Allard B, Beavis PA, Darcy PK, and Stagg J. Immunosuppressive activities of adenosine in cancer. Curr Opin Pharmacol. (2016) 29:7–16. doi: 10.1016/j.coph.2016.04.001

PubMed Abstract | Crossref Full Text | Google Scholar

11. Ohta A. A metabolic immune checkpoint: adenosine in tumor microenvironment. Front Immunol. (2016) 7:109. doi: 10.3389/fimmu.2016.00109

PubMed Abstract | Crossref Full Text | Google Scholar

12. Garber K. Adenosine checkpoint agent blazes a trail, joins immunotherapy roster. Nat Biotechnol. (2017) 35:805–6. doi: 10.1038/nbt0917-805

PubMed Abstract | Crossref Full Text | Google Scholar

13. Boison D and Yegutkin GG. Adenosine metabolism: emerging concepts for cancer therapy. Cancer Cell. (2019) 36:582–96. doi: 10.1016/j.ccell.2019.10.007

PubMed Abstract | Crossref Full Text | Google Scholar

14. Zhulai G, Oleinik E, Shibaev M, and Ignatev K. Adenosine-metabolizing enzymes, adenosine kinase and adenosine deaminase, in cancer. Biomolecules. (2022) 12:418. doi: 10.3390/biom12030418

PubMed Abstract | Crossref Full Text | Google Scholar

15. Eltzschig HK. Extracellular adenosine signaling in molecular medicine. J Mol Med. (2013) 91:141–6. doi: 10.1007/s00109-013-0999-z

PubMed Abstract | Crossref Full Text | Google Scholar

16. Bowman CE, da Silva RG, Pham A, and Young SW. An exceptionally potent inhibitor of human CD73. Biochemistry. (2019) 58:3331–4. doi: 10.1021/acs.biochem.9b00448

PubMed Abstract | Crossref Full Text | Google Scholar

17. Stagg J and Smyth MJ. Extracellular adenosine triphosphate and adenosine in cancer. Oncogene. (2010) 29:5346–58. doi: 10.1038/onc.2010.292

PubMed Abstract | Crossref Full Text | Google Scholar

18. Zimmermann H. Extracellular metabolism of ATP and other nucleotides. Naunyn-Schmiedeberg’s Arch Pharmacol. (2000) 362:299–309. doi: 10.1007/s002100000309

PubMed Abstract | Crossref Full Text | Google Scholar

19. Chini EN, Chini CCS, Espindola Netto JM, de Oliveira GC, and van Schooten W. The pharmacology of CD38/NADase: an emerging target in cancer and diseases of aging. Trends Pharmacol Sci. (2018) 39:424–36. doi: 10.1016/j.tips.2018.02.001

PubMed Abstract | Crossref Full Text | Google Scholar

20. Malavasi F, Deaglio S, Funaro A, Ferrero E, Horenstein AL, Ortolan E, et al. Evolution and function of the ADP ribosyl cyclase/CD38 gene family in physiology and pathology. Physiol Rev. (2008) 88:841–86. doi: 10.1152/physrev.00035.2007

PubMed Abstract | Crossref Full Text | Google Scholar

21. Boison D. Adenosine kinase: exploitation for therapeutic gain. Pharmacol Rev. (2013) 65:906–43. doi: 10.1124/pr.112.006361

PubMed Abstract | Crossref Full Text | Google Scholar

22. Luca A, RocChina C, Concettina La M, Marco T, Oriana A, Federico Da S, et al. Adenosine deaminase in the modulation of immune system and its potential as a novel target for treatment of inflammatory disorders. Curr Drug Targets. (2012) 13:842–62. doi: 10.2174/138945012800564095

PubMed Abstract | Crossref Full Text | Google Scholar

23. Xu Y, Wang Y, Yan S, Yang Q, Zhou Y, Zeng X, et al. Regulation of endothelial intracellular adenosine via adenosine kinase epigenetically modulates vascular inflammation. Nat Commun. (2017) 8:943. doi: 10.1038/s41467-017-00986-7

PubMed Abstract | Crossref Full Text | Google Scholar

24. Arab S and Hadjati J. Adenosine blockage in tumor microenvironment and improvement of cancer immunotherapy. Immune Netw. (2019) 19:e23. doi: 10.4110/in.2019.19.e23

PubMed Abstract | Crossref Full Text | Google Scholar

25. Khayami R, Toroghian Y, Bahreyni A, Bahrami A, Khazaei M, Ferns GA, et al. Role of adenosine signaling in the pathogenesis of head and neck cancer. J Cell Biochem. (2018) 119:7905–12. doi: 10.1002/jcb.27091

PubMed Abstract | Crossref Full Text | Google Scholar

26. Kazemi MH, Raoofi Mohseni S, Hojjat-Farsangi M, Anvari E, Ghalamfarsa G, Mohammadi H, et al. Adenosine and adenosine receptors in the immunopathogenesis and treatment of cancer. J Cell Physiol. (2018) 233:2032–57. doi: 10.1002/jcp.25873

PubMed Abstract | Crossref Full Text | Google Scholar

27. Leone RD and Emens LA. Targeting adenosine for cancer immunotherapy. J Immunother Cancer. (2018) 6:57. doi: 10.1186/s40425-018-0360-8

PubMed Abstract | Crossref Full Text | Google Scholar

28. Wang L, Zhang J, Zhang W, Zheng M, Guo H, Pan X, et al. The inhibitory effect of adenosine on tumor adaptive immunity and intervention strategies. Acta Pharm Sin B. (2024) 14:1951–64. doi: 10.1016/j.apsb.2023.12.004

PubMed Abstract | Crossref Full Text | Google Scholar

29. Haskó G and Cronstein BN. Adenosine: an endogenous regulator of innate immunity. Trends Immunol. (2004) 25:33–9. doi: 10.1016/j.it.2003.11.003

PubMed Abstract | Crossref Full Text | Google Scholar

30. Jacobson KA and Reitman ML. Adenosine-related mechanisms in non-adenosine receptor drugs. Cells. (2020) 9:956. doi: 10.3390/cells9040956

PubMed Abstract | Crossref Full Text | Google Scholar

31. Milne GR and Palmer TM. Anti-inflammatory and immunosuppressive effects of the A2A adenosine receptor. Sci World J. (2011) 11:320–39. doi: 10.1100/tsw.2011.22

PubMed Abstract | Crossref Full Text | Google Scholar

32. Han Y, Dong C, Hu M, Wang X, and Wang G. Unlocking the adenosine receptor mechanism of the tumour immune microenvironment. Front Immunol. (2024) 15:1434118. doi: 10.3389/fimmu.2024.1434118

PubMed Abstract | Crossref Full Text | Google Scholar

33. Chen J-F, Eltzschig HK, and Fredholm BB. Adenosine receptors as drug targets — what are the challenges? Nat Rev Drug Discov. (2013) 12:265–86. doi: 10.1038/nrd3955

PubMed Abstract | Crossref Full Text | Google Scholar

34. Fredholm BB, Abbracchio MP, Burnstock G, Daly JW, Harden TK, Jacobson KA, et al. Nomenclature and classification of purinoceptors. Pharmacol Rev. (1994) 46:143–56. doi: 10.1016/S0031-6997(25)06782-1

Crossref Full Text | Google Scholar

35. Xing J, Zhang J, and Wang J. The immune regulatory role of adenosine in the tumor microenvironment. Int J Mol Sci. (2023) 19:14928. doi: 10.3390/ijms241914928

PubMed Abstract | Crossref Full Text | Google Scholar

36. Zhang T, Yu-Jing L, and Ma T. The immunomodulatory function of adenosine in sepsis. Front Immunol. (2022) 13:936547. doi: 10.3389/fimmu.2022.936547

PubMed Abstract | Crossref Full Text | Google Scholar

37. Maity P, Ganguly S, and Deb PK. Therapeutic potential of adenosine receptor modulators in cancer treatment. RSC Adv. (2025) 15:20418–45. doi: 10.1039/D5RA02235E

PubMed Abstract | Crossref Full Text | Google Scholar

38. Haddad M, Cherchi F, Alsalem M, Al-saraireh YM, and Madae’en S. Adenosine receptors as potential therapeutic analgesic targets. Int J Mol Sci. (2023) 24:13160. doi: 10.3390/ijms241713160

PubMed Abstract | Crossref Full Text | Google Scholar

39. Antonioli L, Fornai M, Blandizzi C, Pacher P, and Hasko G. Adenosine signaling and the immune system: When a lot could be too much. Immunol Lett. (2019) 205:9–15. doi: 10.1016/j.imlet.2018.04.006

PubMed Abstract | Crossref Full Text | Google Scholar

40. Junger WG. Purinergic regulation of neutrophil chemotaxis. Cell Mol Life Sci. (2008) 65:2528–40. doi: 10.1007/s00018-008-8095-1

PubMed Abstract | Crossref Full Text | Google Scholar

41. Häusler SFM, Montalbán del Barrio I, Strohschein J, Anoop Chandran P, Engel JB, Hönig A, et al. Ectonucleotidases CD39 and CD73 on OvCA cells are potent adenosine-generating enzymes responsible for adenosine receptor 2A-dependent suppression of T cell function and NK cell cytotoxicity. Cancer Immunol Immunother. (2011) 60:1405–18. doi: 10.1007/s00262-011-1040-4

PubMed Abstract | Crossref Full Text | Google Scholar

42. Tong L, Jiménez-Cortegana C, Tay AHM, Wickström S, Galluzzi L, and Lundqvist A. NK cells and solid tumors: therapeutic potential and persisting obstacles. Mol Cancer. (2022) 21:206. doi: 10.1186/s12943-022-01672-z

PubMed Abstract | Crossref Full Text | Google Scholar

43. Csóka B, Selmeczy Z, Koscsó B, Németh ZH, Pacher P, Murray PJ, et al. Adenosine promotes alternative macrophage activation via A2A and A2B receptors. FASEB J. (2012) 26:376–86. doi: 10.1096/fj.11-190934

PubMed Abstract | Crossref Full Text | Google Scholar

44. Wilson JM, Kurtz CC, Black SG, Ross WG, Alam MS, Linden J, et al. The A2B adenosine receptor promotes th17 differentiation via stimulation of dendritic cell IL-6. J Immunol. (2011) 186:6746–52. doi: 10.4049/jimmunol.1100117

PubMed Abstract | Crossref Full Text | Google Scholar

45. Cekic C, Sag D, Li Y, Theodorescu D, Strieter RM, and Linden J. Adenosine A2B receptor blockade slows growth of bladder and breast tumors. J Immunol. (2012) 188:198–205. doi: 10.4049/jimmunol.1101845

PubMed Abstract | Crossref Full Text | Google Scholar

46. Sevigny CP, Li L, Awad AS, Huang L, McDuffie M, Linden J, et al. Activation of adenosine 2A receptors attenuates allograft rejection and alloantigen recognition1. J Immunol. (2007) 178:4240–9. doi: 10.4049/jimmunol.178.7.4240

PubMed Abstract | Crossref Full Text | Google Scholar

47. Averill LE, Stein RL, and Kammer GM. Control of human T-lymphocyte interleukin-2 production by a cAMP-dependent pathway. Cell Immunol. (1988) 115:88–99. doi: 10.1016/0008-8749(88)90164-5

PubMed Abstract | Crossref Full Text | Google Scholar

48. Mastelic-Gavillet B, Navarro Rodrigo B, Décombaz L, Wang H, Ercolano G, Ahmed R, et al. Adenosine mediates functional and metabolic suppression of peripheral and tumor-infiltrating CD8+ T cells. J ImmunoTher Cancer. (2019) 7:257. doi: 10.1186/s40425-019-0719-5

PubMed Abstract | Crossref Full Text | Google Scholar

49. Mandapathil M, Hilldorfer B, Szczepanski MJ, Czystowska M, Szajnik M, Ren J, et al. Generation and accumulation of immunosuppressive adenosine by human CD4+CD25highFOXP3+ Regulatory T cells*. J Biol Chem. (2010) 285:7176–86. doi: 10.1074/jbc.M109.047423

PubMed Abstract | Crossref Full Text | Google Scholar

50. Ohta A and Sitkovsky M. Extracellular adenosine-mediated modulation of regulatory T cells. Front Immunol. (2014) 5:304. doi: 10.3389/fimmu.2014.00304

PubMed Abstract | Crossref Full Text | Google Scholar

51. Deaglio S, Dwyer KM, Gao W, Friedman D, Usheva A, Erat A, et al. Adenosine generation catalyzed by CD39 and CD73 expressed on regulatory T cells mediates immune suppression. J Exp Med. (2007) 204:1257–65. doi: 10.1084/jem.20062512

PubMed Abstract | Crossref Full Text | Google Scholar

52. Gabrilovich DI and Nagaraj S. Myeloid-derived suppressor cells as regulators of the immune system. Nat Rev Immunol. (2009) 9:162–74. doi: 10.1038/nri2506

PubMed Abstract | Crossref Full Text | Google Scholar

53. Ryzhov S, Novitskiy SV, Goldstein AE, Biktasova A, Blackburn MR, Biaggioni I, et al. Adenosinergic regulation of the expansion and immunosuppressive activity of CD11b+Gr1+ Cells. J Immunol. (2011) 187:6120–9. doi: 10.4049/jimmunol.1101225

PubMed Abstract | Crossref Full Text | Google Scholar

54. Fredholm BB, Ijzerman AP, Jacobson KA, Klotz K-N, and Linden J. International union of pharmacology. XXV. Nomenclature and classification of adenosine receptors. Pharmacol Rev. (2001) 53:527–52. doi: 10.1016/S0031-6997(24)01511-4

PubMed Abstract | Crossref Full Text | Google Scholar

55. Allard D, Turcotte M, and Stagg J. Targeting A2 adenosine receptors in cancer. Immunol Cell Biol. (2017) 95:333–9. doi: 10.1038/icb.2017.8

PubMed Abstract | Crossref Full Text | Google Scholar

56. Strohbehn GW and Ratain MJ. Immunotherapy and the A2A adenosine receptor: A confounding brew. Clin Pharmacol Ther. (2019) 106:498–500. doi: 10.1002/cpt.1428

PubMed Abstract | Crossref Full Text | Google Scholar

57. Waickman AT, Alme A, Senaldi L, Zarek PE, Horton M, and Powell JD. Enhancement of tumor immunotherapy by deletion of the A2A adenosine receptor. Cancer Immunol Immunother. (2012) 61:917–26. doi: 10.1007/s00262-011-1155-7

PubMed Abstract | Crossref Full Text | Google Scholar

58. Bowser JL, Lee JW, Yuan X, and Eltzschig HK. The hypoxia-adenosine link during inflammation. J Appl Physiol. (2017) 123:1303–20. doi: 10.1152/japplphysiol.00101.2017

PubMed Abstract | Crossref Full Text | Google Scholar

59. Sitkovsky MV, Kjaergaard J, Lukashev D, and Ohta A. Hypoxia-adenosinergic immunosuppression: tumor protection by T regulatory cells and cancerous tissue hypoxia. Clin Cancer Res. (2008) 14:5947–52. doi: 10.1158/1078-0432.CCR-08-0229

PubMed Abstract | Crossref Full Text | Google Scholar

60. Tak E, Jung D-H, Kim S-H, Park G-C, Jun DY, Lee J, et al. Protective role of hypoxia-inducible factor-1α-dependent CD39 and CD73 in fulminant acute liver failure. Toxicol Appl Pharmacol. (2017) 314:72–81. doi: 10.1016/j.taap.2016.11.016

PubMed Abstract | Crossref Full Text | Google Scholar

61. Synnestvedt K, Furuta GT, Comerford KM, Louis N, Karhausen J, Eltzschig HK, et al. Ecto-5’-nucleotidase (CD73) regulation by hypoxia-inducible factor-1 mediates permeability changes in intestinal epithelia. J Clin Invest. (2002) 110:993–1002. doi: 10.1172/jci200215337

PubMed Abstract | Crossref Full Text | Google Scholar

62. Ahmad A, Ahmad S, Glover L, Miller SM, Shannon JM, Guo X, et al. Adenosine A2A receptor is a unique angiogenic target of HIF-2α in pulmonary endothelial cells. Proc Natl Acad Sci. (2009) 106:10684–9. doi: 10.1073/pnas.0901326106

PubMed Abstract | Crossref Full Text | Google Scholar

63. Sitkovsky MV, Hatfield S, Abbott R, Belikoff B, Lukashev D, and Ohta A. Hostile, hypoxia-A2-adenosinergic tumor biology as the next barrier to overcome for tumor immunologists. Cancer Immunol Res. (2014) 2:598–605. doi: 10.1158/2326-6066.CIR-14-0075

PubMed Abstract | Crossref Full Text | Google Scholar

64. Sitkovsky MV. T regulatory cells: hypoxia-adenosinergic suppression and re-direction of the immune response. Trends Immunol. (2009) 30:102–8. doi: 10.1016/j.it.2008.12.002

PubMed Abstract | Crossref Full Text | Google Scholar

65. Morote-Garcia JC, Rosenberger P, Kuhlicke J, and Eltzschig HK. HIF-1–dependent repression of adenosine kinase attenuates hypoxia-induced vascular leak. Blood. (2008) 111:5571–80. doi: 10.1182/blood-2007-11-126763

PubMed Abstract | Crossref Full Text | Google Scholar

66. Eltzschig HK, Abdulla P, Hoffman E, Hamilton KE, Daniels D, Schönfeld C, et al. HIF-1–dependent repression of equilibrative nucleoside transporter (ENT) in hypoxia. J Exp Med. (2005) 202:1493–505. doi: 10.1084/jem.20050177

PubMed Abstract | Crossref Full Text | Google Scholar

67. Hatfield SM and Sitkovsky M. Oxygenation to improve cancer vaccines, adoptive cell transfer and blockade of immunological negative regulators. OncoImmunology. (2015) 4:e1052934. doi: 10.1080/2162402X.2015.1052934

PubMed Abstract | Crossref Full Text | Google Scholar

68. Hatfield SM, Kjaergaard J, Lukashev D, Schreiber TH, Belikoff B, Abbott R, et al. Immunological mechanisms of the antitumor effects of supplemental oxygenation. Sci Transl Med. (2015) 7:277ra30–ra30. doi: 10.1126/scitranslmed.aaa1260

PubMed Abstract | Crossref Full Text | Google Scholar

69. Fu J, Li T, Yang Y, Jiang L, Wang W, Fu L, et al. Activatable nanomedicine for overcoming hypoxia-induced resistance to chemotherapy and inhibiting tumor growth by inducing collaborative apoptosis and ferroptosis in solid tumors. Biomaterials. (2021) 268:120537. doi: 10.1016/j.biomaterials.2020.120537

PubMed Abstract | Crossref Full Text | Google Scholar

70. Feng L, Liu B, Xie R, Wang D, Qian C, Zhou W, et al. An ultrasmall snFe2O4 nanozyme with endogenous oxygen generation and glutathione depletion for synergistic cancer therapy. Adv Funct Mater. (2021) 31:2006216. doi: 10.1002/adfm.202006216

Crossref Full Text | Google Scholar

71. Liang L, Yang L-L, Wang W, Ji C, Zhang L, Jia Y, et al. Calcium phosphate-reinforced metal-organic frameworks regulate adenosine-mediated immunosuppression. Adv Mater. (2021) 33:2102271. doi: 10.1002/adma.202102271

PubMed Abstract | Crossref Full Text | Google Scholar

72. Webb BA, Chimenti M, Jacobson MP, and Barber DL. Dysregulated pH: a perfect storm for cancer progression. Nat Rev Cancer. (2011) 11:671–7. doi: 10.1038/nrc3110

PubMed Abstract | Crossref Full Text | Google Scholar

73. Liao S, Wu G, Xie Z, Lei X, Yang X, Huang S, et al. pH regulators and their inhibitors in tumor microenvironment. Eur J Med Chem. (2024) 267:116170. doi: 10.1016/j.ejmech.2024.116170

PubMed Abstract | Crossref Full Text | Google Scholar

74. Zhao J, Soto LMS, Wang H, Katz MH, Prakash LR, Kim M, et al. Overexpression of CD73 in pancreatic ductal adenocarcinoma is associated with immunosuppressive tumor microenvironment and poor survival. Pancreatology. (2021) 21:942–9. doi: 10.1016/j.pan.2021.03.018

PubMed Abstract | Crossref Full Text | Google Scholar

75. Zhong EH, Ledderose C, De Andrade Mello P, Enjyoji K, Lunderberg JM, Junger W, et al. Structural and functional characterization of engineered bifunctional fusion proteins of CD39 and CD73 ectonucleotidases. Am J Physiology-Cell Physiol. (2020) 320:C15–29. doi: 10.1152/ajpcell.00430.2020

PubMed Abstract | Crossref Full Text | Google Scholar

76. Russo-Abrahão T, Cosentino-Gomes D, Daflon-Yunes N, and Meyer-Fernandes JR. Giardia duodenalis: Biochemical characterization of an ecto-5’-nucleotidase activity. Exp Parasitol. (2011) 127:66–71. doi: 10.1016/j.exppara.2010.06.028

PubMed Abstract | Crossref Full Text | Google Scholar

77. Tian X-P, Wang C-Y, Jin X-H, Li M, Wang F-W, Huang W-J, et al. Acidic Microenvironment Up-Regulates Exosomal miR-21 and miR-10b in Early-Stage Hepatocellular Carcinoma to Promote Cancer Cell Proliferation and Metastasis. Theranostics. (2019) 9:1965–79. doi: 10.7150/thno.30958

PubMed Abstract | Crossref Full Text | Google Scholar

78. Ciuffreda P, Alessandrini L, Pavlovic R, and Santaniello E. Deamination of 2’,3’-O-isopropylideneadenosine-5’- carboxylic acid catalyzed by adenosine deaminase (ADA) and adenylate deaminase (AMPDA): influence of substrate ionization on the activity of the enzymes. Nucleosides Nucleotides Nucleic Acids. (2007) 26:121–7. doi: 10.1080/15257770601052356

PubMed Abstract | Crossref Full Text | Google Scholar

79. Alessandrini L, Ciuffreda P, Pavlovic R, and Santaniello E. Activity of Adenosine Deaminase and Adenylate Deaminase on Adenosine and 2’, 3’-Isopropylidene Adenosine: Role of the Protecting Group at Different pH Values. Nucleosides Nucleotides Nucleic Acids. (2008) 27:31–6. doi: 10.1080/15257770701571776

PubMed Abstract | Crossref Full Text | Google Scholar

80. Tandio D, Vilas G, and Hammond JR. Bidirectional transport of 2-chloroadenosine by equilibrative nucleoside transporter 4 (hENT4): Evidence for allosteric kinetics at acidic pH. Sci Rep. (2019) 9:13555. doi: 10.1038/s41598-019-49929-w

PubMed Abstract | Crossref Full Text | Google Scholar

81. Rahman MF, Askwith C, and Govindarajan R. Molecular determinants of acidic pH-dependent transport of human equilibrative nucleoside transporter 3. J Biol Chem. (2017) 292:14775–85. doi: 10.1074/jbc.M117.787952

PubMed Abstract | Crossref Full Text | Google Scholar

82. Barnes K, Dobrzynski H, Foppolo S, Beal PR, Ismat F, Scullion ER, et al. Distribution and Functional Characterization of Equilibrative Nucleoside Transporter-4, a Novel Cardiac Adenosine Transporter Activated at Acidic pH. Circ Res. (2006) 99:510–9. doi: 10.1161/01.RES.0000238359.18495.42

PubMed Abstract | Crossref Full Text | Google Scholar

83. Robey IF, Baggett BK, Kirkpatrick ND, Roe DJ, Dosescu J, Sloane BF, et al. Bicarbonate increases tumor pH and inhibits spontaneous metastases. Cancer Res. (2009) 69:2260–8. doi: 10.1158/0008-5472.CAN-07-5575

PubMed Abstract | Crossref Full Text | Google Scholar

84. Fais S, Venturi G, and Gatenby B. Microenvironmental acidosis in carcinogenesis and metastases: new strategies in prevention and therapy. Cancer Metastasis Rev. (2014) 33:1095–108. doi: 10.1007/s10555-014-9531-3

PubMed Abstract | Crossref Full Text | Google Scholar

85. Xue L, Thatte AS, Mai D, Haley RM, Gong N, Han X, et al. Responsive biomaterials: optimizing control of cancer immunotherapy. Nat Rev Mater. (2024) 9:100–18. doi: 10.1038/s41578-023-00617-2

Crossref Full Text | Google Scholar

86. Wu Y, Lin J-Y, Zhou Y-D, Liu H-J, Lu S-X, Zhang X-K, et al. Oncolytic peptide-nanoplatform drives oncoimmune response and reverses adenosine-induced immunosuppressive tumor microenvironment. Adv Healthcare Mater. (2024) 13:2303445. doi: 10.1002/adhm.202303445

PubMed Abstract | Crossref Full Text | Google Scholar

87. Liu Y, Liu Y, Xu D, Zang J, Zheng X, Zhao Y, et al. Targeting the negative feedback of adenosine-A2AR metabolic pathway by a tailored nanoinhibitor for photothermal immunotherapy. Adv Sci. (2022) 9:2104182. doi: 10.1002/advs.202104182

PubMed Abstract | Crossref Full Text | Google Scholar

88. Lin W, Wei R, Lai S, Li J, Zhao Y, Lin J, et al. Acid-responsive disassembly of nanomedicines for extracellular drug delivery reversing glioblastoma immunosuppressive microenvironment by targeting the adenosine-A2AR pathway. Small. (2025) 21:2411689. doi: 10.1002/smll.202411689

PubMed Abstract | Crossref Full Text | Google Scholar

89. Deng X-C, Liang J-L, Zhang S-M, Wang Y-Z, Lin Y-T, Meng R, et al. Interference of ATP-adenosine axis by engineered biohybrid for amplifying immunogenic cell death-mediated antitumor immunotherapy. Adv Mater. (2024) 36:2405673. doi: 10.1002/adma.202405673

PubMed Abstract | Crossref Full Text | Google Scholar

90. Bastid J, Cottalorda-Regairaz A, Alberici G, Bonnefoy N, Eliaou JF, and Bensussan A. ENTPD1/CD39 is a promising therapeutic target in oncology. Oncogene. (2013) 32:1743–51. doi: 10.1038/onc.2012.269

PubMed Abstract | Crossref Full Text | Google Scholar

91. Mascanfroni ID, Yeste A, Vieira SM, Burns EJ, Patel B, Sloma I, et al. IL-27 acts on DCs to suppress the T cell response and autoimmunity by inducing expression of the immunoregulatory molecule CD39. Nat Immunol. (2013) 14:1054–63. doi: 10.1038/ni.2695

PubMed Abstract | Crossref Full Text | Google Scholar

92. Antonioli L, Yegutkin GG, Pacher P, Blandizzi C, and Haskó G. Anti-CD73 in cancer immunotherapy: awakening new opportunities. Trends Cancerr. (2016) 2:95–109. doi: 10.1016/j.trecan.2016.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

93. Chambers AM and Matosevic S. Immunometabolic dysfunction of natural killer cells mediated by the hypoxia-CD73 axis in solid tumors. Front Mol Biosci. (2019) 6:60. doi: 10.3389/fmolb.2019.00060

PubMed Abstract | Crossref Full Text | Google Scholar

94. Bastid J, Regairaz A, Bonnefoy N, Déjou C, Giustiniani J, Laheurte C, et al. Inhibition of CD39 enzymatic function at the surface of tumor cells alleviates their immunosuppressive activity. Cancer Immunol Res. (2015) 3:254–65. doi: 10.1158/2326-6066.CIR-14-0018

PubMed Abstract | Crossref Full Text | Google Scholar

95. Jin D, Fan J, Wang L, Thompson LF, Liu A, Daniel BJ, et al. CD73 on tumor cells impairs antitumor T-cell responses: A novel mechanism of tumor-induced immune suppression. Cancer Res. (2010) 70:2245–55. doi: 10.1158/0008-5472.CAN-09-3109

PubMed Abstract | Crossref Full Text | Google Scholar

96. Stagg J, Divisekera U, McLaughlin N, Sharkey J, Pommey S, Denoyer D, et al. Anti-CD73 antibody therapy inhibits breast tumor growth and metastasis. Proc Natl Acad Sci. (2010) 107:1547–52. doi: 10.1073/pnas.0908801107

PubMed Abstract | Crossref Full Text | Google Scholar

97. Deng W-W, Li Y-C, Ma S-R, Mao L, Yu G-T, Bu L-L, et al. Specific blockade CD73 alters the “exhausted” phenotype of T cells in head and neck squamous cell carcinoma. Int J Cancer. (2018) 143:1494–504. doi: 10.1002/ijc.31534

PubMed Abstract | Crossref Full Text | Google Scholar

98. Faraoni EY, Singh K, Chandra V, Le Roux O, Dai Y, Sahin I, et al. CD73-dependent adenosine signaling through adora2b drives immunosuppression in ductal pancreatic cancer. Cancer Res. (2023) 83:1111–27. doi: 10.1158/0008-5472.CAN-22-2553

PubMed Abstract | Crossref Full Text | Google Scholar

99. Xin S, Wen M, Tian Y, Dong H, Wan Z, Jiang S, et al. Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies. World J Surg Oncol. (2025) 23:66. doi: 10.1186/s12957-025-03701-9

PubMed Abstract | Crossref Full Text | Google Scholar

100. Bhardwaj A, Kaur J, Wuest M, and Wuest F. In situ click chemistry generation of cyclooxygenase-2 inhibitors. Nat Commun. (2017) 8:1. doi: 10.1038/s41467-016-0009-6

PubMed Abstract | Crossref Full Text | Google Scholar

101. Liu R, Wang G, Jiang Z, Zou T, Wang C, Wang W, et al. Adenosine metabolic clearance maintains liver homeostasis by licensing arginine methylation of RIPK1. J Exp Med. (2025) 223:e20250603. doi: 10.1084/jem.20250603

PubMed Abstract | Crossref Full Text | Google Scholar

102. Arch JRS and Newsholme EA. Activities and some properties of 5’-nucleotidase, adenosine kinase and adenosine deaminase in tissues from vertebrates and invertebrates in relation to the control of the concentration and the physiological role of adenosine. Biochem J. (1978) 174:965–77. doi: 10.1042/bj1740965

PubMed Abstract | Crossref Full Text | Google Scholar

103. Yamada Y, Goto H, and Ogasawara N. Purification and properties of adenosine kinase from rat brain. Biochim Biophys Acta Enzymol. (1980) 616:199–207. doi: 10.1016/0005-2744(80)90138-2

PubMed Abstract | Crossref Full Text | Google Scholar

104. Miller RL, Adamczyk DL, Miller WH, Koszalka GW, Rideout JL, Beacham LM, et al. Adenosine kinase from rabbit liver. II. Substrate and inhibitor specificity. J Biol Chem. (1979) 254:2346–52. doi: 10.1016/S0021-9258(17)30227-2

PubMed Abstract | Crossref Full Text | Google Scholar

105. Pak MA, Haas HL, Decking UKM, and Schrader J. Inhibition of adenosine kinase increases endogenous adenosine and depresses neuronal activity in hippocampal slices. Neuropharmacology. (1994) 33:1049–53. doi: 10.1016/0028-3908(94)90142-2

PubMed Abstract | Crossref Full Text | Google Scholar

106. de Oliveira RR, Morales-Neto R, Rocco SA, Sforça ML, Polo CC, Tonoli CCC, et al. Adenosine Kinase couples sensing of cellular potassium depletion to purine metabolism. Sci Rep. (2018) 8:11988. doi: 10.1038/s41598-018-30418-5

PubMed Abstract | Crossref Full Text | Google Scholar

107. Park J, Singh B, Maj MC, and Gupta RS. Phosphorylated derivatives that activate or inhibit mammalian adenosine kinase provide insights into the role of pentavalent ions in AK catalysis. Protein J. (2004) 23:167–77. doi: 10.1023/B:JOPC.0000020083.81718.55

PubMed Abstract | Crossref Full Text | Google Scholar

108. Maj M, Singh B, and Gupta RS. The influence of inorganic phosphate on the activity of adenosine kinase. Biophys Acta Enzymol. (2000) 1476:33–42. doi: 10.1016/S0167-4838(99)00220-4

PubMed Abstract | Crossref Full Text | Google Scholar

109. Li Y, Fang Q, Sheng J-Y-H, Hu X, Yang Y, Zhang Y, et al. Cancer cell-specific autophagy activation using phosphorus-based nanoplatform as anabolism activator. ACS Mater Lett. (2023) 5:2028–38. doi: 10.1021/acsmaterialslett.3c00256

Crossref Full Text | Google Scholar

110. Zhao Y, Xie Z, Deng Y, Huang A, Wen B, and Ling L. Photothermal nanobomb blocking metabolic adenosine-A2AR potentiates infiltration and activity of T cells for robust antitumor immunotherapy. Chem Eng J.. (2022) 450:138139. doi: 10.1016/j.cej.2022.138139

Crossref Full Text | Google Scholar

111. Moreno E, Canet J, Gracia E, Lluis C, Mallol J, Canela EI, et al. Molecular evidence of adenosine deaminase linking adenosine A(2A) receptor and CD26 proteins. Front Pharmacol. (2018) 9:106. doi: 10.3389/fphar.2018.00106

PubMed Abstract | Crossref Full Text | Google Scholar

112. Liu H and Xia Y. Beneficial and detrimental role of adenosine signaling in diseases and therapy. J Appl Physiol. (2015) 119:1173–82. doi: 10.1152/japplphysiol.00350.2015

PubMed Abstract | Crossref Full Text | Google Scholar

113. Trincavelli ML. Unveiling the binding mode of adenosine deaminase inhibitors to the active site of the enzyme: implication for rational drug design. Purinergic Signal. (2013) 9:1–3. doi: 10.1007/s11302-013-9353-8

PubMed Abstract | Crossref Full Text | Google Scholar

114. ibiş M, Köklü S, Yilmaz FM, Başar Ö, Yilmaz G, Yüksel O, et al. Serum adenosine deaminase levels in pancreatic diseases. Pancreatology. (2007) 7:526–30. doi: 10.1159/000108970

PubMed Abstract | Crossref Full Text | Google Scholar

115. Gao Z-w, Zhao G-h, Zhang Z, Huang J, Li Z-y, Zhang H-z, et al. Serum adenosine deaminase activity is increased in systemic lupus erythematosus patients and correlated with disease activity. Immunol Res. (2018) 66:299–304. doi: 10.1007/s12026-018-8984-9

PubMed Abstract | Crossref Full Text | Google Scholar

116. Ebrahimi-Rad M, Khatami S, Ansari S, Jalylfar S, Valadbeigi S, and Saghiri R. Adenosine deaminase 1 as a biomarker for diagnosis and monitoring of patients with acute lymphoblastic leukemia. J Med Biochem. (2018) 37:128–33. doi: 10.1515/jomb-2017-0042

PubMed Abstract | Crossref Full Text | Google Scholar

117. Bagheri S, Saboury AA, and Haertlé T. Adenosine deaminase inhibition. Int J Biol Macromol. (2019) 141:1246–57. doi: 10.1016/j.ijbiomac.2019.09.078

PubMed Abstract | Crossref Full Text | Google Scholar

118. Banerjee S, Majumder R, Mukherjee B, and Mandal M. Selective ADA2 inhibition for enhancing anti-tumor immune response in glioma: Insights from computational screening of flavonoid compounds. Int J Biol Macromol. (2023) 253:127453. doi: 10.1016/j.ijbiomac.2023.127453

PubMed Abstract | Crossref Full Text | Google Scholar

119. Monroy-Mora A, de Lourdes Mora-García M, Alheli Monroy Mora K, Hernández-Montes J, García-Rocha R, Don-López CA, et al. Inhibition of adenosine deaminase activity reverses resistance to the cytotoxic effect of high adenosine levels in cervical cancer cells. Cytokine. (2022) 158:155977. doi: 10.1016/j.cyto.2022.155977

PubMed Abstract | Crossref Full Text | Google Scholar

120. Rutkiewicz J and Górski J. On the role of insulin in regulation of adenosine deaminase activity in rat tissues. FEBS Lett. (1990) 271:79–80. doi: 10.1016/0014-5793(90)80376-T

PubMed Abstract | Crossref Full Text | Google Scholar

121. Wang L, Londono LM, Cowell J, Saatci O, Aras M, Ersan PG, et al. Targeting adenosine with adenosine deaminase 2 to inhibit growth of solid tumors. Cancer Res. (2021) 81:3319–32. doi: 10.1158/0008-5472.CAN-21-0340

PubMed Abstract | Crossref Full Text | Google Scholar

122. Gentile C, Finizio A, Froechlich G, D’Alise AM, Cotugno G, Amiranda S, et al. Generation of a retargeted oncolytic herpes virus encoding adenosine deaminase for tumor adenosine clearance. Int J Mol Sci. (2021) 22:13521. doi: 10.3390/ijms222413521

PubMed Abstract | Crossref Full Text | Google Scholar

123. Wang J, Wang J, Yu Z, Wen H, Zhao C, Zhong J, et al. Targeting the adenosine-mediated metabolic immune checkpoint with engineered probiotic for enhanced chemo-immunotherapy. Adv Sci. (2025) 12:2411813. doi: 10.1002/advs.202411813

PubMed Abstract | Crossref Full Text | Google Scholar

124. Vigano S, Alatzoglou D, Irving M, Ménétrier-Caux C, Caux C, Romero P, et al. Targeting adenosine in cancer immunotherapy to enhance T-cell function. Front Immunol. (2019) 10:925. doi: 10.3389/fimmu.2019.00925

PubMed Abstract | Crossref Full Text | Google Scholar

125. Konishi H, Kanou S-E, Yukimatsu R, Inui M, Sato M, Yamamoto N, et al. Adenosine inhibits TNFα-induced MMP-3 production in MH7A rheumatoid arthritis synoviocytes via A2A receptor signaling. Sci Rep. (2022) 12:6033. doi: 10.1038/s41598-022-10012-6

PubMed Abstract | Crossref Full Text | Google Scholar

126. Nagpure BV and Bian J-S. Hydrogen Sulfide Inhibits A2A Adenosine Receptor Agonist Induced β-Amyloid Production in SH-SY5Y Neuroblastoma Cells via a cAMP Dependent Pathway. PloS One. (2014) 9:e88508. doi: 10.1371/journal.pone.0088508

PubMed Abstract | Crossref Full Text | Google Scholar

127. Gessi S, Bencivenni S, Battistello E, Vincenzi F, Colotta V, Catarzi D, et al. Inhibition of A2A adenosine receptor signaling in cancer cells proliferation by the novel antagonist TP455. Front Pharmacol. (2017) 8:888. doi: 10.3389/fphar.2017.00888

PubMed Abstract | Crossref Full Text | Google Scholar

128. Willingham SB, Ho PY, Hotson A, Hill C, Piccione EC, Hsieh J, et al. A2AR antagonism with CPI-444 induces antitumor responses and augments efficacy to anti–PD-(L)1 and anti–CTLA-4 in preclinical models. Cancer Immunol Res. (2018) 6:1136–49. doi: 10.1158/2326-6066.CIR-18-0056

PubMed Abstract | Crossref Full Text | Google Scholar

129. Wang J, Huang X, Shi Q, Swingle KL, Hamilton AG, Gong N, et al. Drug-loaded bispecific T cell nanoengager overcomes T cell exhaustion for potent cancer immunotherapy. Proc Natl Acad Sci. (2025) 122:e2409564122. doi: 10.1073/pnas.2409564122

PubMed Abstract | Crossref Full Text | Google Scholar

130. Mediavilla-Varela M, Castro J, Chiappori A, Noyes D, Hernandez DC, Allard B, et al. A novel antagonist of the immune checkpoint protein adenosine A2a receptor restores tumor-infiltrating lymphocyte activity in the context of the tumor microenvironment. Neoplasia. (2017) 19:530–6. doi: 10.1016/j.neo.2017.02.004

PubMed Abstract | Crossref Full Text | Google Scholar

131. Lim EA, Bendell JC, Falchook GS, Bauer TM, Drake CG, Choe JH, et al. Phase ia/b, open-label, multicenter study of AZD4635 (an adenosine A2A receptor antagonist) as monotherapy or combined with durvalumab, in patients with solid tumors. Clin Cancer Res. (2022) 28:4871–84. doi: 10.1158/1078-0432.CCR-22-0612

PubMed Abstract | Crossref Full Text | Google Scholar

132. Iannone R, Miele L, Maiolino P, Pinto A, and Morello S. Blockade of A2b adenosine receptor reduces tumor growth and immune suppression mediated by myeloid-derived suppressor cells in a mouse model of melanoma. Neoplasia. (2013) 15:1400–IN10. doi: 10.1593/neo.131748

PubMed Abstract | Crossref Full Text | Google Scholar

133. Kaji W, Tanaka S, Tsukimoto M, and Kojima S. Adenosine A2B receptor antagonist PSB603 suppresses tumor growth and metastasis by inhibiting induction of regulatory T cells. J Toxicol Sci. (2014) 39:191–8. doi: 10.2131/jts.39.191

PubMed Abstract | Crossref Full Text | Google Scholar

134. Evans JV, Suman S, Goruganthu MUL, Tchekneva EE, Guan S, Arasada RR, et al. Improving combination therapies: targeting A2B-adenosine receptor to modulate metabolic tumor microenvironment and immunosuppression. JNCI J Natl Cancer Inst. (2023) 115:1404–19. doi: 10.1093/jnci/djad091

PubMed Abstract | Crossref Full Text | Google Scholar

135. Sharif EU, Miles DH, Rosen BR, Jeffrey JL, Debien LPP, Powers JP, et al. Development of a scalable and practical synthesis of AB928, a dual A2a/A2b receptor antagonist. Org Proc Res Dev. (2020) 24:1254–61. doi: 10.1021/acs.oprd.0c00124

Crossref Full Text | Google Scholar

136. Seifert M, Benmebarek M-R, Briukhovetska D, Märkl F, Dörr J, Cadilha BL, et al. Impact of the selective A2AR and A2BR dual antagonist AB928/etrumadenant on CAR T cell function. Br J Cancer. (2022) 127:2175–85. doi: 10.1038/s41416-022-02013-z

PubMed Abstract | Crossref Full Text | Google Scholar

137. Sharif EU, Miles DH, Rosen BR, Beatty J, Jeffrey JL, Debien LPP, et al. Abstract PR001: Discovery of Etrumadenant, a first-in-class dual A2a and A2b adenosine receptor antagonist for cancer immunotherapy. Mol Cancer Ther. (2024) 23:PR001–PR. doi: 10.1158/1538-8514.CANCERCHEM24-PR001

Crossref Full Text | Google Scholar

138. Mediero A and Cronstein BN. Adenosine and bone metabolism. Trends Endocrinol Metab. (2013) 24:290–300. doi: 10.1016/j.tem.2013.02.001

PubMed Abstract | Crossref Full Text | Google Scholar

139. Young A, Mittal D, Stagg J, and Smyth MJ. Targeting cancer-derived adenosine: new therapeutic approaches. Cancer Discov. (2014) 4:879–88. doi: 10.1158/2159-8290.CD-14-0341

PubMed Abstract | Crossref Full Text | Google Scholar

140. Roussot N, Kaderbhai C, and Ghiringhelli F. Targeting immune checkpoint inhibitors for non-small-cell lung cancer: beyond PD-1/PD-L1 monoclonal antibodies. Cancers. (2025) 17:906. doi: 10.3390/cancers17050906

PubMed Abstract | Crossref Full Text | Google Scholar

141. Thompson EA and Powell JD. Inhibition of the adenosine pathway to potentiate cancer immunotherapy: potential for combinatorial approaches. Annu Rev Med. (2021) 72:331–48. doi: 10.1146/annurev-med-060619-023155

PubMed Abstract | Crossref Full Text | Google Scholar

142. Kurago Z, Guo G, Shi H, Bollag RJ, Groves MW, Byrd JK, et al. Inhibitors of the CD73-adenosinergic checkpoint as promising combinatory agents for conventional and advanced cancer immunotherapy. Front Immunol. (2023) 14:1212209. doi: 10.3389/fimmu.2023.1212209

PubMed Abstract | Crossref Full Text | Google Scholar

143. Mahoney KM, Rennert PD, and Freeman GJ. Combination cancer immunotherapy and new immunomodulatory targets. Nat Rev Drug Discov. (2015) 14:561–84. doi: 10.1038/nrd4591

PubMed Abstract | Crossref Full Text | Google Scholar

144. Sun B-Y, Zhang D, Gan W, Wu J-F, Wang Z-T, Sun G-Q, et al. Targeting CD73 limits tumor progression and enhances anti-tumor activity of anti-PD-1 therapy in intrahepatic cholangiocarcinoma. J Cancer Res Clin Oncol. (2024) 150:348. doi: 10.1007/s00432-024-05869-1

PubMed Abstract | Crossref Full Text | Google Scholar

145. Tandaric L, Auranen A, Kleinmanns K, DePont Christensen R, Vestrheim Thomsen LC, Wogsland CE, et al. Peripheral blood leukocyte signatures as biomarkers in relapsed ovarian cancer patients receiving combined anti-CD73/anti-PD-L1 immunotherapy in arm A of the NSGO-OV-UMB1/ENGOT-OV30 trial. Mol Oncol. (2025) 19:1436–51. doi: 10.1002/1878-0261.13811

PubMed Abstract | Crossref Full Text | Google Scholar

146. Virani NA, Thavathiru E, McKernan P, Moore K, Benbrook DM, and Harrison RG. Anti-CD73 and anti-OX40 immunotherapy coupled with a novel biocompatible enzyme prodrug system for the treatment of recurrent, metastatic ovarian cancer. Cancer Lett. (2018) 425:174–82. doi: 10.1016/j.canlet.2018.03.027

PubMed Abstract | Crossref Full Text | Google Scholar

147. Chen L, Diao L, Yang Y, Yi X, Rodriguez BL, Li Y, et al. CD38-mediated immunosuppression as a mechanism of tumor cell escape from PD-1/PD-L1 blockade. Cancer Discov. (2018) 8:1156–75. doi: 10.1158/2159-8290.CD-17-1033

PubMed Abstract | Crossref Full Text | Google Scholar

148. Park YJ, Kuen DS, and Chung Y. Future prospects of immune checkpoint blockade in cancer: from response prediction to overcoming resistance. Exp Mol Med. (2018) 50:1–13. doi: 10.1038/s12276-018-0130-1

PubMed Abstract | Crossref Full Text | Google Scholar

149. Franco R, Rivas-Santisteban R, Navarro G, and Reyes-Resina I. Adenosine receptor antagonists to combat cancer and to boost anti-cancer chemotherapy and immunotherapy. Cells. (2021) 10:2831. doi: 10.3390/cells10112831

PubMed Abstract | Crossref Full Text | Google Scholar

150. Shang X, Geng X, Wang Z, Yuan S, Ding S, Liu N, et al. Overcoming EGFR-mediated dendritic cell dysfunction to enhance anti-tumor immunity in EGFR-mutant NSCLC by precisely targeting CD73 with pH-responsive nanocarriers. Adv Sci. (2025) e13182. doi: 10.1002/advs.202513182

PubMed Abstract | Crossref Full Text | Google Scholar

151. Young A, Ngiow Shin F, Barkauskas Deborah S, Sult E, Hay C, Blake Stephen J, et al. Co-inhibition of CD73 and A2AR adenosine signaling improves anti-tumor immune responses. Cancer Cell. (2016) 30:391–403. doi: 10.1016/j.ccell.2016.06.025

PubMed Abstract | Crossref Full Text | Google Scholar

152. Graziano V, Dannhorn A, Hulme H, Williamson K, Buckley H, Karim SA, et al. Defining the spatial distribution of extracellular adenosine revealed a myeloid-dependent immunosuppressive microenvironment in pancreatic ductal adenocarcinoma. J ImmunoTher Cancer. (2023) 11:e006457. doi: 10.1136/jitc-2022-006457

PubMed Abstract | Crossref Full Text | Google Scholar

153. Borodovsky A, Barbon CM, Wang Y, Ye M, Prickett L, Chandra D, et al. Small molecule AZD4635 inhibitor of A2AR signaling rescues immune cell function including CD103+ dendritic cells enhancing anti-tumor immunity. J ImmunoTher Cancer. (2020) 8:e000417. doi: 10.1136/jitc-2019-000417

PubMed Abstract | Crossref Full Text | Google Scholar

154. Ghasemi-Chaleshtari M, Kiaie SH, Irandoust M, Karami H, Nabi Afjadi M, Ghani S, et al. Concomitant blockade of A2AR and CTLA-4 by siRNA-loaded polyethylene glycol-chitosan-alginate nanoparticles synergistically enhances antitumor T-cell responses. J Cell Physiol. (2020) 235:10068–80. doi: 10.1002/jcp.29822

PubMed Abstract | Crossref Full Text | Google Scholar

155. Nettersheim FS, Brunel S, Sinkovits RS, Armstrong SS, Roy P, Billitti M, et al. PD-1 and CD73 on naive CD4+ T cells synergistically limit responses to self. Nat Immunol. (2025) 26:105–15. doi: 10.1038/s41590-024-02021-6

PubMed Abstract | Crossref Full Text | Google Scholar

156. Kim M, Min YK, Jang J, Park H, Lee S, and Lee CH. Single-cell RNA sequencing reveals distinct cellular factors for response to immunotherapy targeting CD73 and PD-1 in colorectal cancer. J ImmunoTher Cancer. (2021) 9:e002503. doi: 10.1136/jitc-2021-002503

PubMed Abstract | Crossref Full Text | Google Scholar

157. Barlesi F, Cho BC, Goldberg SB, Yoh K, Zimmer Gelatti AC, Mann H, et al. PACIFIC-9: Phase III trial of durvalumab + oleclumab or monalizumab in unresectable stage III non-small-cell lung cancer. Future Oncol. (2024) 20:2137–47. doi: 10.1080/14796694.2024.2354160

PubMed Abstract | Crossref Full Text | Google Scholar

158. Aggarwal C, Martinez-Marti A, Majem M, Barlesi F, Carcereny E, Chu Q, et al. Durvalumab alone or combined with novel agents for unresectable stage III non–small cell lung cancer: update from the COAST randomized clinical trial. JAMA Netw Open. (2025) 8:e2518440–e. doi: 10.1001/jamanetworkopen.2025.18440

PubMed Abstract | Crossref Full Text | Google Scholar

159. Bendell J, LoRusso P, Overman M, Noonan AM, Kim D-W, Strickler JH, et al. First-in-human study of oleclumab, a potent, selective anti-CD73 monoclonal antibody, alone or in combination with durvalumab in patients with advanced solid tumors. Cancer Immunol Immunother. (2023) 72:2443–58. doi: 10.1007/s00262-023-03430-6

PubMed Abstract | Crossref Full Text | Google Scholar

160. Liu S, Li D, Liu J, Wang H, Horecny I, Shen R, et al. A novel CD73 inhibitor SHR170008 suppresses adenosine in tumor and enhances anti-tumor activity with PD-1 blockade in a mouse model of breast cancer. Onco Targets Ther. (2021) 14:4561–74. doi: 10.2147/OTT.S326178

PubMed Abstract | Crossref Full Text | Google Scholar

161. Zhang Y, Wang Y, Li B, Han Y, Du J, Chen Y, et al. Biomimetic immortalized mesenchymal stem cell-based nanoparticles suppress orthotopic postsurgical glioma via CD73 targeting and chemotherapy. J Controlled Release. (2025) 388:114297. doi: 10.1016/j.jconrel.2025.114297

PubMed Abstract | Crossref Full Text | Google Scholar

162. Azambuja JH, Schuh RS, Michels LR, Gelsleichter NE, Beckenkamp LR, Lenz GS, et al. CD73 as a target to improve temozolomide chemotherapy effect in glioblastoma preclinical model. Cancer Chemother Pharmacol. (2020) 85:1177–82. doi: 10.1007/s00280-020-04077-1

PubMed Abstract | Crossref Full Text | Google Scholar

163. Lin Y-S, Chiang S-F, Chen C-Y, Hong W-Z, Chen T-W, Chen WT-L, et al. Targeting CD73 increases therapeutic response to immunogenic chemotherapy by promoting dendritic cell maturation. Cancer Immunol Immunother. (2023) 72:2283–97. doi: 10.1007/s00262-023-03416-4

PubMed Abstract | Crossref Full Text | Google Scholar

164. Hamidnia F, Aslan ES, Najafi S, Baghbani E, Eslamkhah S, and Baradaran B. Enhancing chemotherapy efficacy: investigating the synergistic impact of paclitaxel and cd73 gene suppression on breast cancer cell proliferation and migration. Cureus. (2024) 16:e65027. doi: 10.7759/cureus.65027

PubMed Abstract | Crossref Full Text | Google Scholar

165. Chen Q, Chen J, Zhang Q, Yang P, Gu R, Ren H, et al. Combining high-Z sensitized radiotherapy with CD73 blockade to boost tumor immunotherapy. ACS Nano. (2023) 17:12087–100. doi: 10.1021/acsnano.2c11403

PubMed Abstract | Crossref Full Text | Google Scholar

166. Meziani L, Gerbé de Thoré M, Clémenson C, Liu W, Laurent P-A, Mondini M, et al. Optimal dosing regimen of CD73 blockade improves tumor response to radiotherapy through iCOS downregulation. J ImmunoTher Cancer. (2023) 11:e006846. doi: 10.1136/jitc-2023-006846

PubMed Abstract | Crossref Full Text | Google Scholar

167. An R, Wu C, Tang C, Zhang C, Han F, Xu Z, et al. Blockade of CD73 potentiates radiotherapy antitumor immunity and abscopal effects via STING pathway. Cell Death Discov. (2024) 10:404. doi: 10.1038/s41420-024-02171-4

PubMed Abstract | Crossref Full Text | Google Scholar

168. Wennerberg E, Spada S, Rudqvist N-P, Lhuillier C, Gruber S, Chen Q, et al. CD73 blockade promotes dendritic cell infiltration of irradiated tumors and tumor rejection. Cancer Immunol Res. (2020) 8:465–78. doi: 10.1158/2326-6066.CIR-19-0449

PubMed Abstract | Crossref Full Text | Google Scholar

169. Antonioli L, Blandizzi C, Csoka B, Pacher P, and Hasko G. Adenosine signalling in diabetes mellitus–pathophysiology and therapeutic considerations. Nat Rev Endocrinol. (2015) 11:228–41. doi: 10.1038/nrendo.2015.10

PubMed Abstract | Crossref Full Text | Google Scholar

170. Nagate Y, Ezoe S, Fujita J, Okuzaki D, Motooka D, Ishibashi T, et al. Ectonucleotidase CD39 is highly expressed on ATLL cells and is responsible for their immunosuppressive function. Leukemia. (2021) 35:107–18. doi: 10.1038/s41375-020-0788-y

PubMed Abstract | Crossref Full Text | Google Scholar

171. Yu M, Guo G, Huang L, Deng L, Chang C-S, Achyut BR, et al. CD73 on cancer-associated fibroblasts enhanced by the A2B-mediated feedforward circuit enforces an immune checkpoint. Nat Commun. (2020) 11:515. doi: 10.1038/s41467-019-14060-x

PubMed Abstract | Crossref Full Text | Google Scholar

172. Takamatsu D, Kiyozawa D, Kohashi K, Kinoshita F, Toda Y, Ishihara S, et al. Prognostic impact of CD73/adenosine 2A receptor (A2AR) in renal cell carcinoma and immune microenvironmental status with sarcomatoid changes and rhabdoid features. Pathol Res Pract. (2023) 244:154423. doi: 10.1016/j.prp.2023.154423

PubMed Abstract | Crossref Full Text | Google Scholar

173. Danilov K, Bansal D, Ward C, Al-Obaidi A, Pluard T, Tarasov A, et al. NSCLC microenvironment subtypes correlate with response and survival to immune checkpoint inhibitor therapy. J Thorac Oncol. (2023) 18:S241–S. doi: 10.1016/j.jtho.2023.09.402

Crossref Full Text | Google Scholar

174. Venugopala KN and Buccioni M. Current understanding of the role of adenosine receptors in cancer. Molecules. (2024) 29:3501. doi: 10.3390/molecules29153501

PubMed Abstract | Crossref Full Text | Google Scholar

175. Mahdizadeh M, Heydari N, Shafiei A, Akbari H, and Jafari SM. Adenosine receptors in breast cancer. Mol Biol Rep. (2024) 51:464. doi: 10.1007/s11033-024-09382-z

PubMed Abstract | Crossref Full Text | Google Scholar

176. Wissmann IB, Coelho RCD, Baseggio L, and Cardoso AM. Adenosine receptors and acute kidney injury: perspectives for future therapy. Purinergic Signal. (2025) 21:1115–33. doi: 10.1007/s11302-025-10107-5

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: adenosine metabolism, coordinated intervention, enzymatic regulation, immunosuppression, tumor microenvironment

Citation: Li C, Chen L, Li Z, Liang L and Lou B (2026) Enzymatic and microenvironmental regulation in adenosine metabolism-mediated immunosuppression. Front. Immunol. 16:1739983. doi: 10.3389/fimmu.2025.1739983

Received: 05 November 2025; Accepted: 15 December 2025; Revised: 10 December 2025;
Published: 07 January 2026.

Edited by:

Paulo Rodrigues-Santos, University of Coimbra, Portugal

Reviewed by:

Saptak Banerjee, Chittaranjan National Cancer Institute (CNCI), India
Jim Eyles, AstraZeneca, United Kingdom

Copyright © 2026 Li, Chen, Li, Liang and Lou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ling Liang, bGlhbmdsaW5nQG1qdS5lZHUuY24=; Zhihao Li, emhpaGFvbGlAaGJ1Y20uZWR1LmNu

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