ReviewMolecular cancer2025
Epithelial-to-mesenchymal transition (EMT) and cancer metastasis: the status quo of methods and experimental models 2025.
Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
69 citing papers in PubMed.
- Sulfated Hyaluronan Drives Cell Adaptation and Matrix Composition in Advanced 3D Breast Cancer Cell Models.Cells · 2026Article
- Targeting AATF reprograms the tumor microenvironment and suppresses hepatocellular carcinoma via MIR100HG-TGF-β signaling.Molecular therapy. Oncology · 2026Article
- Berberine shows potential in mitigating PMApoptosis : an international journal on programmed cell death · 2026Article
- Chiral Titanium Dioxide Nanoparticles Induce Breast Cancer Lung Metastasis.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Review
- Role of epithelial-mesenchymal transition (EMT) in malignancies: current status and future prospects.Signal transduction and targeted therapy · 2026Review
- Failure to Fuse Shut Eyelids, a Novel Unique Sign in Affected Fetus with Homozygous PPP1R13L Pathogenic Variant-A Case Report and Review of the Literature.International journal of molecular sciences · 2026Review
- Triple-Negative Breast Cancer Cells Utilize IL8 and CXCL1 to Suppress NK Cells' Function and Facilitate Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The Origin of Cancer-Associated Fibroblasts (CAFs) in Brain Metastases: Seven Hypotheses and Current Evidence.Cancers · 2026Review
- Transcriptomic network analysis and functional evidence identify a candidate EMT hub signature associated with nasopharyngeal carcinoma progression.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Molecular Characterization of PARP Inhibitor Response Reveals Co-Targeting Strategies in Advanced Prostate Cancer.Cancers · 2026Article
- Non-Invasive Diagnosis of Early Breast Cancer: Current and Emerging Liquid Biopsy Biomarkers.Cancers · 2026Review
- Overcoming Resistance to Anti-EGFR Therapies: Mechanisms of Cetuximab and Panitumumab Resistance and Emerging Combination Strategies.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Long non-coding RNA SOCS2-AS1 inhibits gastric cancer progression via the miR-324-3p/GRIK3 axis: a mechanistic study.World journal of surgical oncology · 2026Article
- Fate Bifurcation of Cellular Senescence: Dynamic Regulation from Tumor Suppression to Recurrence Risk.Cells · 2026Review
- Review
- Development, characterization, and evaluation of the therapeutic efficacy of PEGylated-nanoliposomal artesunate in mice bearing non-small cell lung carcinoma.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Nrf2 Is Associated with Metastasis-Related Processes in a Chemoresistant Breast Cancer Model: Insights from siRNA Modulation.International journal of molecular sciences · 2026Article
- Senescent Stroma-Derived Glutamine: A Driver of Aggressiveness in Prostate and Ovarian Cancer Cells.Cells · 2026Article
- WWOX maintains epidermal identity and suppresses EMT to prevent aggressive cutaneous squamous cell carcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Epithelial-to-mesenchymal transition (EMT) is a crucial cellular process for embryogenesis, wound healing, and cancer progression. It involves a shift in cell interactions, leading to the detachment of epithelial cells and activation of gene programs promoting a mesenchymal state. EMT plays a significant role in cancer metastasis triggering tumor initiation and stemness, and activates metastatic cascades resulting in resistance to therapy. Moreover, reversal of EMT contributes to the formation of metastatic lesions. Metastasis still needs to be better understood functionally in its major but complex steps of migration, invasion, intravasation, dissemination, which contributes to the establishment of minimal residual disease (MRD), extravasation, and successful seeding and growth of metastatic lesions at microenvironmentally heterogeneous sites. Therefore, the current review article intends to present, and discuss comprehensively, the status quo of experimental models able to investigate EMT and metastasis in vitro and in vivo, for researchers planning to enter the field. We emphasize various methods to understand EMT function and the major steps of metastasis, including diverse migration, invasion and matrix degradation assays, microfluidics, 3D co-culture models, spheroids, organoids, or latest spatial and imaging methods to analyze complex compartments. In vivo models such as the chorionallantoic membrane (CAM) assay, cell line-derived and patient-derived xenografts, syngeneic, genetically modified, and humanized mice, are presented as a promising arsenal of tools to analyze intravasation, site specific metastasis, and treatment response. Furthermore, we give a brief overview on methods detecting dissemination and MRD in carcinomas, highlighting its significance in tracking the course of disease and response to treatment. Enhanced lineage tracking tools, dynamic in vivo imaging, and therapeutically useful in vivo models as powerful preclinical tools may still better reveal functional interdependencies between metastasis and EMT. Future directions are discussed in light of emerging views on the biology, diagnosis, and treatment of EMT and metastasis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.