The cyclic GMP-AMP synthase–stimulator of interferon genes (cGAS–STING) pathway is a central sensor of innate immunity that plays critical roles in recognizing cytosolic DNA and initiating antitumor immune responses. However, this pathway exhibits extensive spatiotemporal duality and context dependency in tumor regulation. In recent years, modulating this pathway to convert immunologically “cold” tumors into immunologically “hot,” inflamed tumors has emerged as a cutting-edge strategy to reverse resistance to immune checkpoint inhibitors (ICIs). This review outlines the molecular mechanisms underlying the activation and regulation of the cGAS–STING pathway, with emphasis on its complex role in orchestrating the tumor immune phenotypic switch. A nuanced analysis of the pathway’s duality distinguishes between acute immunostimulatory activation and chronic, pro-tumorigenic inflammation driven by chromosomal instability (CIN). Furthermore, current evidence regarding direct and indirect T-cell modulation, as well as pathway-mediated remodeling of the tumor microenvironment (TME) across diverse malignancies, is discussed in detail. Crucially, the current bottlenecks in clinical translation are described, including evaluation of the failure of first-generation agonists and the promise of next-generation delivery platforms such as antibody-drug conjugates (ADCs) and nanoparticle systems. Finally, a novel strategic framework is proposed involving mapping of specific STING-targeted modalities to distinct TME phenotypes, such as immune-desert, immune-excluded, and exhausted-inflamed states. A detailed understanding of the cGAS–STING axis has substantial value in providing theoretical guidance and supporting clinical translation in the development of next-generation combination immunotherapies, as well as broadening the patient population benefiting from clinical interventions.
| 1. | Sparse spatial distribution of TILs: The “immune-desert” state has a near-complete absence of CTLs and NK cells across the tumor bed, whereas in the “immune-excluded” state, TILs are largely restricted to the invasive margin and do not penetrate the tumor core77. |
| 2. | High magnitude of myeloid suppression: The microenvironment is enriched in Tregs and characterized by marked accumulation of myeloid-derived suppressor cells (MDSCs) and M2-type TAMs. These cells, by secreting inhibitory cytokines such as IL-10 and TGF-β, establish a potent biochemical barrier that dampens immune cell activity78. |
| 3. | Absence of IFN-γ/IFN-I gene signatures: These signatures, reflecting critically low tumor immunogenicity, are typically accompanied by a low tumor mutational burden (TMB), defective antigen presentation [e.g., downregulation of major histocompatibility complex (MHC)-I], and insufficient expression of immune checkpoints such as PD-L179. |
| 4. | Rigid vascular and stromal barriers: Dense extracellular matrix (ECM) and disorganized, aberrant vascular architectures collectively form robust physical barriers that severely impede drug delivery and hinder T-cell infiltration into the tumor parenchyma80. |
| 1. | Discrepancies in TME models: Most preclinical data on STING agonists rely on mouse syngeneic subcutaneous tumor models. However, these models are often oversimplified and lack the dense desmoplastic stroma and complex spatial architecture characteristic of human solid tumors, such as CRC174. In clinical practice, this robust physical barrier within the human TME severely restricts the effective penetration of free STING agonists into deep tumor regions, thereby inevitably hindering effector T-cell infiltration and the comprehensive activation of antitumor immunity175. |
| 2. | Pharmacokinetic and delivery hurdles: Although intratumoral injection has demonstrated significant efficacy in superficial mouse models, performing serial injections into deep-seated visceral tumors or widely disseminated metastatic lesions is clinically unfeasible176,177. In contrast, systemic IV administration faces pharmacokinetic flaws, such as rapid renal clearance, and risks the indiscriminate activation of STING signaling in vascular endothelial cells and peripheral immune cells. A severe systemic inflammatory response is often triggered before the drug can accumulate at therapeutic concentrations within the TME178,179. Furthermore, insufficient dosing may inadvertently induce chronic, low-level STING signaling, which in turn triggers the aforementioned immunosuppressive feedback loops. |
| 3. | Paradoxical T-cell cytotoxicity: Sustained or high-dose exposure to STING agonists disrupts calcium homeostasis in effector T cells and triggers severe ER stress and subsequent apoptosis, thereby counteracting or even reversing the intended antitumor therapeutic effects102,179. |
| 4. | ENPP1-mediated degradation: Human tumors frequently have upregulated expression of ENPP1. This phosphodiesterase rapidly hydrolyzes cGAMP and other natural CDNs in the extracellular space, thereby effectively neutralizing the agonists before they can reach and bind intracellular STING targets38. |
| 5. | Species discrepancies and human STING polymorphism: The first-generation mouse STING agonist DMXAA demonstrated striking efficacy in mouse models154 but completely failed in human clinical trials because it is structurally incapable of binding the human STING receptor180. Additionally, the human TMEM173 gene181, which encodes STING, exhibits significant allelic variation. Whereas R232 is the predominant wild-type allele, a substantial proportion of the human population carries functional polymorphisms, such as the HAQ182, REF/H232183, or AQ184 variants. These variants exhibit distinct conformational requirements and ligand-binding affinities. Consequently, STING agonists optimized solely for the wild-type receptor might fail to activate the pathway in patients with specific genetic variants185. |
| 1. | For the “immune-desert” phenotype: This phenotype is characterized by sparse TIL distribution and a lack of IFN gene signatures. The primary clinical hurdle is deficiency in initial antigen priming and effector T cells215,216. Consequently, actionable strategies must focus on de novo immune activation. This strategic goal directly aligns with the combination of STING agonists with cancer vaccines to provide specific tumor antigens, or with OVs to trigger immunogenic cell death, thereby facilitating a potent in situ vaccination effect217. |
| 2. | For the “immune-excluded” phenotype: The core challenge is the physical sequestration of therapeutic agents and immune effector cells outside the tumor parenchyma. An optimal mapping strategy involves deploying nanotechnology-based targeted delivery systems to successfully penetrate the dense ECM. Concurrently, leveraging STING activation to drive vascular normalization218 and CAF reprogramming219 is crucial for actively dismantling these physical barriers and promoting T-cell infiltration. |
| 3. | For TMEs with heavy myeloid suppression: When the microenvironment is dominated by M2-type TAMs and MDSCs, precision targeting is required to reverse intense biochemical immunosuppression. Actionable strategies include using ADCs or ISACs to specifically deliver STING agonists to myeloid populations220, thereby enforcing M2-to-M1 phenotypic polarization while avoiding off-target systemic toxicity. Additionally, combining STING agonists with IDO inhibitors can effectively antagonize concomitant metabolic immunosuppression211. |
| 4. | For the “immune-inflamed” but exhausted phenotype: This phenotype features high spatial distribution of TILs that are functionally dysfunctional. In these “hot” tumors, intrinsic immune signals and T cells are present but impaired by compensatory inhibitory pathways. The mapping strategy here essentially focuses on immune reinvigoration, specifically, the combination of STING agonists with ICIs or ACT to restore and sustain the cytotoxic killing capability of the existing T-cell pool221. |
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |