IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network.

Journal: Journal of advanced research
Published Date: Aug 7, 2024

Abstract

INTRODUCTION: Immune checkpoint inhibitors (ICIs) are potent and precise therapies for various cancer types, significantly improving survival rates in patients who respond positively to them. However, only a minority of patients benefit from ICI treatments.

Authors

  • Yuexu Jiang
    Department of Electrical Engineering and Computer Science, Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, USA.
  • Manish Sridhar Immadi
    Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, Columbia, MO, USA.
  • Duolin Wang
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.
  • Shuai Zeng
    Department of Electrical Engineering and Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.
  • Yen On Chan
    Department of Electrical Engineering and Computer Science, University of Missouri-Columbia, Columbia, MO, USA; MU Institute for Data Science and Informatics, University of Missouri-Columbia, Columbia, MO, USA.
  • Jing Zhou
  • Dong Xu
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.
  • Trupti Joshi
    Department of Electrical Engineering and Computer Science, Informatics Institute, and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA.

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