Unraveling the EMT Spectrum in Aggressive Breast Cancer: Bridging Molecular Hybrid States with Functional Assay Interpretation
Year: 2026
Type: review
Abstract: Recent evidence redefines the Epithelial-Mesenchymal Transition (EMT) from a rigid binary switch into a fluid, multidimensional spectrum. In aggressive breast cancer subtypes, particularly Triple-Negative Breast Cancer (TNBC), this plasticity gives rise to hybrid phenotypes that paradoxically co-express epithelial and mesenchymal traits. These intermediate states fuel collective cell migration and therapeutic evasion by maintaining a balance between cellular adhesion and motility. This review synthesizes current molecular insights into EMT plasticity, focusing on the interconnected regulatory networks involving core transcription factors such as SNAIL, ZEB1/2, and TWIST, alongside upstream signaling pathways like TGF-β and Wnt/β-catenin. Beyond summarizing EMT plasticity and hybrid states, this review specifically bridges the molecular EMT spectrum with the interpretation of common functional migration and invasion assays. We critically evaluate how these molecular states may manifest in functional migration readouts and highlight why migration or invasion outcomes should not be interpreted as standalone evidence of a discrete EMT state. We highlight that migration patterns observed in scratch (wound healing) or transwell assays do not always reflect complete EMT activation, as hybrid cells may exhibit enhanced migratory capacity, including collective migration, compared with fully mesenchymal phenotypes. This necessitates a more integrated approach that combines molecular profiling with functional outcomes to avoid over interpretation of laboratory data. By refining the understanding of metastatic mechanisms, this work aligns with the United Nations' Sustainable Development Goal (SDG) 3 (Good Health and Well-being), specifically contributing to the reduction of premature mortality from non-communicable diseases through improved oncological insights. Such precision in interpreting EMT states is crucial for identifying targetable vulnerabilities and advancing personalized therapeutic strategies in aggressive breast cancer.
Source: OncoTargets and Therapy
DOI: 10.2147/ott.s640642
Language: English
Topic: Cancer Cells and Metastasis
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,836
OpenAlex ID: W7223933711