Integrative deep learning analysis improves colon adenocarcinoma patient stratification at risk for mortality.

Journal: EBioMedicine
Published Date: Jul 25, 2023

Abstract

BACKGROUND: Colorectal cancers are the fourth most diagnosed cancer and the second leading cancer in number of deaths. Many clinical variables, pathological features, and genomic signatures are associated with patient risk, but reliable patient stratification in the clinic remains a challenging task. Here we assess how image, clinical, and genomic features can be combined to predict risk.

Authors

  • Jie Zhou
    Departments of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine &Health Sciences, Shanghai, China.
  • Ali Foroughi Pour
    The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
  • Hany Deirawan
    Department of Pathology, Wayne State University, Detroit, MI, USA; Department of Dermatology, Wayne State University, Detroit, MI, USA.
  • Fayez Daaboul
    Department of Pathology, Wayne State University, Detroit, MI, USA.
  • Thazin Nwe Aung
    Department of Pathology, Yale University, New Haven, CT, USA.
  • Rafic Beydoun
    Department of Pathology, Wayne State University, Detroit, MI, USA.
  • Fahad Shabbir Ahmed
    From the Department of Pathology (F.S.A.), Yale School of Medicine, Yale University, New Haven, Connecticut; School of Information and Communication Engineering (L.A.), University of Electronic Science and Technology of China (UESTC), Chengdu, China; Department of Electrical Engineering (L.A.), University of Science and Technology, Bannu, Pakistan; Division of Trauma, Acute Care, Burn, and Emergency Surgery (B.A.J.), University of Arizona, Tucson, Arizona; Department of Neurology (A.I.), University of New Mexico, Albuquerque, New Mexico; Department of Computer Science (R.-u.-M.), COMSATS University Islamabad, Islamabad, Pakistan; and Division of Computer Science, Mathematics, and Science (Healthcare Informatics) (S.A.C.B.), St. John's University, New York, New York.
  • Jeffrey H Chuang
    The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA. Jeff.Chuang@jax.org.

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