Molecular landscape of endometrioid Cancer: Integrating multiomics and deep learning for personalized survival prediction.

Journal: Computers in biology and medicine
Published Date: May 3, 2025

Abstract

BACKGROUND: The endometrioid subtype of endometrial cancer is a significant health concern for women, making it crucial to study the factors influencing patient outcomes.

Authors

  • Behnaz Haji Molla Hoseyni
    Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614335, Iran.
  • Hossein Lanjanian
    Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Yasaman Zohrab Beigi
    Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614335, Iran.
  • Mahdieh Salimi
    Department of Medical Genetics, Institute of Medical Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, 1417614335, Iran.
  • Fatemeh Zare-Mirakabad
    Department of Mathematics and Computer Science, Amirkabir University of Technology, (Tehran Polytechnic), Tehran, Iran. f.zare@aut.ac.ir.
  • Ali Masoudi-Nejad
    Laboratory of system Biology and Bioinformatics, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. amasoudin@ut.ac.ir.

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