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Updated: May 15, 2026

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
The pathological landscape of tumor evolution: a paradigm shift from morphology to functional networks
Ying Yuan1, Yiran Sun2, Ying Ma1
1Department of Pathology, Chongqing Wulong People's Hospital, Chongqing, China.
None:
Tumor pathology is undergoing a profound transformation, shifting from pure morphological description toward multidimensional functional network analysis. This Mini Review focuses on the tumor microenvironment (TME) as a central concept driving tumor initiation, progression, and therapeutic resistance. We first outline the limitations of traditional pathological classification and elaborate on how the dynamic co-evolution of cellular components (such as cancer-associated fibroblasts (CAFs) and immune cells) along with the extracellular matrix (ECM) constitutes a functional unit. Key controversies are discussed, including the translational hurdles of TME-directed therapies and the challenge of spatiotemporally assessing tumor heterogeneity. We further identify critical research gaps, particularly the mechanistic understanding of the tumor-host interface across scales. Finally, we envision that the integration of artificial intelligence-driven spatial pathology, single-cell multi-omics, and in vivo imaging will usher in a new era of "functional pathology," merging morphology, molecular profiling, and dynamic insights.
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