This article provides a detailed exploration of the xCell algorithm and its advanced version, xCell 2.0, for digital dissection of the tumor microenvironment (TME) from bulk transcriptomics data.
Metastasis remains the primary cause of cancer-related mortality, yet its initial stages are notoriously difficult to observe.
This article comprehensively reviews the development, application, and clinical potential of Voronoi Tessellation-based Cellular Automaton (VTCA) models in oncology.
This article explores the 3D Microenvironment Chamber (3MIC), a transformative ex vivo model designed to directly observe and perturb the early metastatic process.
This comprehensive review explores the application of cellular automaton (CA) models to simulate invasive tumor growth dynamics, addressing the critical need for predictive tools in oncology.
This article provides a comprehensive analysis of emergent behaviors in 3D tumor spheroid models, which bridge the critical gap between traditional 2D cultures and in vivo studies.
This article explores the critical role of ischemic conditions—hypoxia, nutrient starvation, and acidosis—in driving cancer metastasis.
This review synthesizes current research on the emergent behaviors driving glioblastoma (GBM) invasion, a primary cause of therapeutic failure and mortality.
This review synthesizes current knowledge on the dynamic role of cell-cell adhesion in driving emergent tumor phenotypes.
This article provides a comprehensive analysis of the formation and functional impact of metabolic gradients within the tumor microenvironment (TME).