Sep 2026· Signal Transduction and Targeted Therapy· Vol 11· 0 citations· 321 references
Medicine
TL;DR
The Holistic Integrative Tumor Ecosystem Theory (HITET) is proposed, a five-dimensional framework connecting these scales through functional interfaces that synthesizes how genetic alterations, cellular plasticity, metabolic programs, immune and stromal interactions, spatial gradients, organ-specific environments, microbiota, and host physiology jointly shape cancer heterogeneity.
Abstract
Cancer heterogeneity drives therapeutic failure, resistance, and relapse and encompasses variation across genetic, cellular, tissue, organ, and systemic scales. Existing frameworks define malignant capabilities and tumor–microenvironment interactions but less explicitly address how heterogeneity propagates across scales and informs therapeutic design. Here, we propose the Holistic Integrative Tumor Ecosystem Theory (HITET), a five-dimensional framework connecting these scales through functional interfaces. Its organizing principle is the niche–flow–feedback triad: niches define selective habitats; flows transmit cells, resources, and signals across scales; and feedback loops amplify or constrain heterogeneity by reshaping niches and flows. HITET generates several provisional predictions: interventions targeting three or more active dimensions may produce more durable responses than narrower strategies; tumors with strong vascular–immune coupling may be particularly sensitive to combined vascular normalization and immune activation; and clonal or phenotypic diversification may correlate with the number and strength of positive feedback loops. We use HITET to synthesize how genetic alterations, cellular plasticity, metabolic programs, immune and stromal interactions, spatial gradients, organ-specific environments, microbiota, and host physiology jointly shape cancer heterogeneity. Therapeutically, HITET organizes strategies as vertical integration within a dimension, horizontal integration across dimensions, and modulation of host–tumor interfaces. HITET does not replace existing cancer frameworks or constitute a validated predictive model. Its current contribution is organizational and hypothesis-generating, providing a structured basis for linking mechanisms and measurements and developing predictions that require prospective experimental and clinical validation.
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.
R. Latif, Taufiq Nawaz· Critical reviews in oncology...· 0 citations
ABSTRACT Cancer metastasis is a spatiotemporal dynamic process jointly driven by the intrinsic evolution of cancer cells and continuous microenvironmental selection, rather than a simple linear accumulation of genetic alterations. The metastatic diversity of cancers is driven by heterogeneity in physicochemical propert...
Yu-Peng Zhao, Wen-Chao Xu, Yi-Bo Wang et al.· MedComm· 0 citations
This review synthesizes current knowledge on clonal dynamics, intratumor heterogeneity (ITH), and the mathematical tools used to model cancer progression, with direct implications for the design of precision oncology strategies.
Wei Li, Xiao-Tong Wang· Infection, Genetics and Evol...· 0 citations
A Dynamic Precision Oncology (DPO) framework is proposed that extends conventional precision oncology beyond baseline molecular profiling by integrating longitudinal assessment of tumor genomics, circulating tumor DNA, CA19-9, imaging, radiomics, and clinical characteristics and summarizes emerging strategies for overc...
S spatiotemporal co-evolution is established as a unifying framework that transforms mCRPC from a uniformly fatal disease into a chronically manageable condition through precisely timed, spatially informed and mechanistically rational interventions.
Li Yan, Xiao-Ke Sun, Peng-Xiao Su· International Journal of Mol...· 0 citations
Together, current evidence indicates that MDSCs represent context-dependent therapeutic nodes, while functional reprogramming, spatially resolved profiling, and patient stratification may improve immunotherapy outcomes.
Lisichen Zhu, Hui Liu, Sihan Zhang et al.· Cancer Letters· 1 citation
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