ReviewFrontiers in oncology2017
Deciphering Epithelial-Mesenchymal Transition Regulatory Networks in Cancer through Computational Approaches.
Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 54 citations in OpenAlex.
- A computational approach for perturbation-induced EMT transitions.NPJ systems biology and applications · 2025Article
- Evaluation of the Therapeutic Effects of Harmine on Anaplastic Thyroid Cancer Cells.International journal of molecular sciences · 2024Article
- EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma.Scientific reports · 2023Article
- Network motifs and hypermotifs in TGFβ-induced epithelial to mesenchymal transition and metastasis.Frontiers in systems biology · 2023Article
- Bidirectional crosstalk between epithelial-mesenchymal plasticity and IFNRoyal Society open science · 2022Article
- A complex epigenome-splicing crosstalk governs epithelial-to-mesenchymal transition in metastasis and brain development.Nature cell biology · 2022Article
- Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model.NPJ systems biology and applications · 2022Article
- Revisiting the miR-200 Family: A Clan of Five Siblings with Essential Roles in Development and Disease.Biomolecules · 2022Review
- Transcriptional and post-transcriptional control of epithelial-mesenchymal plasticity: why so many regulators?Cellular and molecular life sciences : CMLS · 2022Review
- The Role of Tumor Microenvironment and Immune Response in Colorectal Cancer Development and Prognosis.Pathology oncology research : POR · 2022Review
- Overcoming therapeutic resistance to platinum-based drugs by targeting Epithelial-Mesenchymal transition.Frontiers in oncology · 2022Review
- Particulate Matter (PMInternational journal of molecular sciences · 2021Article
- Mnt Represses Epithelial Identity To Promote Epithelial-to-Mesenchymal Transition.Molecular and cellular biology · 2021Article
- Expression and Clinical Utility of Transcription Factors Involved in Epithelial-Mesenchymal Transition during Thyroid Cancer Progression.Journal of clinical medicine · 2021Article
- Review
- Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitions.Computational and systems oncology · 2021Article
- Towards decoding the coupled decision-making of metabolism and epithelial-to-mesenchymal transition in cancer.British journal of cancer · 2021Review
- Partial EMT in Squamous Cell Carcinoma: A Snapshot.International journal of biological sciences · 2021Review
- Specific Pyruvate Kinase M2 Inhibitor, Compound 3K, Induces Autophagic Cell Death through Disruption of the Glycolysis Pathway in Ovarian Cancer Cells.International journal of biological sciences · 2021Article
- Epigenetic Regulation of Epithelial to Mesenchymal Transition in the Cancer Metastatic Cascade: Implications for Cancer Therapy.Frontiers in oncology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial-mesenchymal transition (EMT), the process by which epithelial cells can convert into motile mesenchymal cells, plays an important role in development and wound healing but is also involved in cancer progression. It is increasingly recognized that EMT is a dynamic process involving multiple intermediate or "hybrid" phenotypes rather than an "all-or-none" process. However, the role of EMT in various cancer hallmarks, including metastasis, is debated. Given the complexity of EMT regulation, computational modeling has proven to be an invaluable tool for cancer research, i.e., to resolve apparent conflicts in experimental data and to guide experiments by generating testable hypotheses. In this review, we provide an overview of computational modeling efforts that have been applied to regulation of EMT in the context of cancer progression and its associated tumor characteristics. Moreover, we identify possibilities to bridge different modeling approaches and point out outstanding questions in which computational modeling can contribute to advance our understanding of pathological EMT.
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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.