变革癌症治疗：通过生物学创新与人工智能靶向肿瘤微环境的整合策略

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving tumor microenvironment (TME). The TME functions as an organized and dynamic ecosystem in which malignant cells interact continuously with immune populations, stromal elements, vascular networks, extracellular matrix components, and soluble mediators. These interactions critically regulate tumor initiation, progression, immune evasion, and metastatic dissemination.

This review comprehensively examines the cellular and acellular architecture of the TME, emphasizing its spatial organization, metabolic reprogramming, mechanical properties, and immunological regulation across diverse tumor types. Key features of the TME include hypoxia-driven stabilization of hypoxia-inducible factors, oxidative stress-mediated immune dysfunction, metabolic competition for nutrients, extracellular matrix remodeling, and vascular abnormalities.

Together, these interconnected processes establish immunosuppressive and therapy-resistant niches that promote angiogenesis, invasion, and metastatic spread.

We further discuss how contemporary therapeutic strategies increasingly aim to exploit TME vulnerabilities, including immune checkpoint inhibition, adoptive cell therapies such as chimeric antigen receptor (CAR) T cells, antibody-based approaches, and rational combinatorial regimens. Emerging computational and artificial intelligence-driven frameworks are enhancing the integration of genomic, spatial, and clinical data to refine patient stratification and identify actionable microenvironmental targets.

Despite substantial advances, significant challenges remain, including tumor heterogeneity, adaptive resistance mechanisms, and limited translation of preclinical findings into durable clinical benefit.

Future progress will depend on integrating spatial systems biology, metabolomic and mechanobiological insights, and advanced human-relevant modeling platforms to enable precise and context-dependent TME modulation. A deeper understanding of tumor-microenvironment co-evolution is essential for the development of next-generation therapeutic strategies capable of achieving sustained clinical responses.