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Uncovering EMT-Associated Molecular Mechanisms Through Integrative Transcriptomic and Machine Learning Analyses

Şehriban Büyükkılıç1,2, Hani Alotaibi1,2, Alexandros G Georgakilas3

  • 1Izmir Biomedicine and Genome Center, 35340 Izmir, Türkiye.

Frontiers in Bioscience (Landmark Edition)
|January 29, 2026
PubMed
Summary

Epithelial-mesenchymal transition (EMT) drives normal development and cancer. This study reveals distinct gene expression patterns in cancer EMT, including neural programs, and identifies potential biomarkers for tumor invasion.

Keywords:
axonogenesisbiomarker discoverycancercell plasticityepithelial–mesenchymal transitiongene expression profilinggliogenesismachine learningneurogenesis

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