Table 4.
Multi-dimensional 2025 framework mapping spatial, stromal, microbial, and vascular dynamics of the TME to immunotherapy efficacy and resistance
| TME Axis | Core Mechanism | Key 2025 Tools / Approaches | Therapeutic or Predictive Impact | Challenges / Future Needs | References |
|---|---|---|---|---|---|
| TME Phenotypes (Inflamed/Excluded/Desert) | Spatial–functional gradients of immune infiltration shaped by ECM, vasculature, and cytokine milieu | AI-driven spatial classifiers; multiplex IHC+spatial omics | Stratifies ICI responsiveness; guides phenotype-modulating therapies | Overlapping phenotypes; temporal plasticity under therapy | (163) |
| CAF–TAM–Treg Crosstalk | Paracrine, metabolic, and mechanical loops enforcing immune exclusion and T-cell exhaustion | Single-cell+spatial transcriptomics; ligand–receptor network inference | Identifies combinatorial targets (e.g., C3aR/C5aR, TGF-β, TNFSF14) for stromal reprogramming | Spatial heterogeneity; off-target immune activation risk | (147) |
| Microbiome–Immune–Tumor Axis | Microbial metabolites (SCFAs, inosine, bile acids) reshape systemic and local immune tone. | Metagenomics+metabolomics; microbial consortia modeling; precision FMT | Enables microbiome-based sensitization to ICI; predictive of resistance | Inter-patient variability; causal directionality unresolved | (153, 164) |
| TME Barrier Targeting | Vascular normalization+macrophage reprogramming+matrix remodeling synergize for immune access | Perfusion MRI; macrophage-metabolic imaging; biomaterial gradient scaffolds | Enhances drug delivery and T-cell infiltration; prolongs ICI response | Timing of normalization window; risk of hypoxia rebound | (165) |