Comprehensive quantitative radiogenomic evaluation reveals novel radiomic subtypes with distinct immune pattern in glioma.

Journal: Computers in biology and medicine
Published Date:

Abstract

BACKGROUND: Accurate classification of gliomas is critical to the selection of immunotherapy, and MRI contains a large number of radiomic features that may suggest some prognostic relevant signals. We aim to predict new subtypes of gliomas using radiomic features and characterize their survival, immune, genomic profiles and drug response.

Authors

  • Yue Sun
    Department of Rheumatology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui, China.
  • Yakun Zhang
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Jing Gan
    College of Food Science and Nutritional Engineering, China Agricultural University, P.O. Box 40, No. 17 Qinghua East Road, Haidian District Beijing, 100083 People's Republic China.
  • Hanxiao Zhou
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Shuang Guo
  • Xinyue Wang
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
  • Caiyu Zhang
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Wen Zheng
    College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China.
  • Xiaoxi Zhao
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Xia Li
    Research Center for Macromolecules and Biomaterials, National Institute for Materials Science (NIMS), Tsukuba, Ibaraki, Japan.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Shangwei Ning
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.