ArticleFrontiers in oncology2024
Modeling epithelial-mesenchymal transition in patient-derived breast cancer organoids.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- eIF6 affects the occurrence and development of esophageal cancer.Molecular biology reports · 2026Article
- Organoid technology in cancer research.Molecular biomedicine · 2026Review
- Hallmarks of epithelial-mesenchymal plasticity in cancer.Molecular cancer · 2026Review
- Application and prospect of breast cancer organoids model in the field of traditional Chinese medicine and natural compounds.Journal of translational medicine · 2026Review
- Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026Review
- Radiomics and Deep Learning: Bridging Breast Cancer Imaging Phenotypes and Genomic Heterogeneity.Breast cancer (Dove Medical Press) · 2026Review
- Mechanically induced development and maturation of 3DFrontiers in immunology · 2025Article
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Authors and funding
14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Cellular plasticity is enhanced by dedifferentiation processes such as epithelial-mesenchymal transition (EMT). The dynamic and transient nature of EMT-like processes challenges the investigation of cell plasticity in patient-derived breast cancer models. Here, we utilized patient-derived organoids (PDOs) as a model to study the susceptibility of primary breast cancer cells to EMT. Upon induction with TGF-β, PDOs exhibited EMT-like features, including morphological changes, E-cadherin downregulation and cytoskeletal reorganization, leading to an invasive phenotype. Image analysis and the integration of deep learning algorithms enabled the implantation of microscopy-based quantifications demonstrating repetitive results between organoid lines from different breast cancer patients. Interestingly, epithelial plasticity was also expressed in terms of alterations in luminal and myoepithelial distribution upon TGF-β induction. The effective modeling of dynamic processes such as EMT in organoids and their characteristic spatial diversity highlight their potential to advance research on cancer cell plasticity in cancer patients.
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