Research Articles
Beyond the Mouse: Addressing Species Mismatch in Animal Models with Human-Relevant New Approach Methodologies
This article examines the critical challenge of species mismatch in biomedical research, where traditional animal models often fail to accurately predict human responses.
Optimizing Oxygen Gradient Tumor Models: From Physiological Relevance to Clinical Translation
This article provides a comprehensive guide for researchers and drug development professionals on optimizing oxygen gradient models for cancer research.
Improving Reproducibility in 3D Tumor Spheroids: A Strategic Guide for Robust Preclinical Models
Three-dimensional tumor spheroids have emerged as a critical in vitro tool that bridges the gap between traditional 2D cell cultures and in vivo models, offering superior physiological relevance for cancer...
Strategies for Reducing Grid Anisotropy in Cellular Automaton Models: From Foundations to Biomedical Applications
This article provides a comprehensive examination of grid anisotropy, a pervasive numerical artifact in Cellular Automaton (CA) simulations that causes unrealistic orientation-dependent growth patterns and compromises result reliability.
Visualizing Metastasis: How 3D Microenvironment Chambers are Revolutionizing Cancer Research
This article explores the transformative role of advanced 3D microenvironment chambers, such as the 3MIC, in visualizing and understanding the early stages of cancer metastasis.
CIBERSORT: A Comprehensive Guide to Tumor Microenvironment Immune Infiltration Analysis for Cancer Research
This article provides a comprehensive overview of CIBERSORT, a computational method for deconvoluting tumor immune infiltration from bulk tissue gene expression profiles.
Decoding the Tumor Microenvironment: A Comprehensive Guide to the ESTIMATE Algorithm in Cancer Research
This article provides a comprehensive exploration of the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm, a pivotal bioinformatics tool for deciphering tumor...
xCell 2.0: A Comprehensive Guide to Tumor Microenvironment Deconvolution for Cancer Research and Therapy Development
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.
Visualizing the Unseen: Live Imaging Approaches to Decipher Emergent Metastatic Features
Metastasis remains the primary cause of cancer-related mortality, yet its initial stages are notoriously difficult to observe.
Voronoi Tessellation Cellular Automaton Models: From Tumor Simulation to Clinical Translation
This article comprehensively reviews the development, application, and clinical potential of Voronoi Tessellation-based Cellular Automaton (VTCA) models in oncology.