Uncovering EMT-Associated Molecular Mechanisms Through Integrative Transcriptomic and Machine Learning Analyses
Collectively, this integrative analysis delineates distinct transcriptional profiles between malignant and physiological EMT. The enrichment of neural-related programs in cancer-associated EMT highlights potential mechanisms that contribute to malignant cellular plasticity. In addition, the analysis identifies candidate biomarkers for future investigation of EMT heterogeneity.
Authors
- Athanasia Pavlopoulou (ORCID: https://orcid.org/0000-0002-0815-3808)
- Alexandros G. Georgakilas (ORCID: https://orcid.org/0000-0002-5971-0010)
- Şehriban Büyükkılıç
- Hani Alotaibi
Institutions
- Izmir University (TR)
- National Technical University of Athens (GR)
- Dokuz Eylül University (TR)
Publication Details
- Journal
- Frontiers in Bioscience-Landmark
- Published
- 2026-01-22
- DOI
- https://doi.org/10.31083/fbl48085
- Primary Topic
- Cancer Cells and Metastasis
- Type
- article
- Field-Weighted Citation Impact
- 0.00