Machine Learning-Based Detection of Bladder Cancer by Urine cfDNA Fragmentation Hotspots that Capture Cancer-Associated Molecular Features.

Journal: Clinical chemistry
PMID:

Abstract

BACKGROUND: cfDNA fragmentomics-based liquid biopsy is a potential option for noninvasive bladder cancer (BLCA) detection that remains an unmet clinical need.

Authors

  • Xiang-Yu Meng
    Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Xiong-Hui Zhou
    Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China.
  • Shuo Li
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ming-Jun Shi
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Xuan-Hao Li
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Bo-Yu Yang
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Min Liu
    Department of Critical Care Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
  • Ke-Zhen Yi
    Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Yun-Ze Wang
    Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China.
  • Hong-Yu Zhang
    Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
  • Jian Song
    School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Fu-Bing Wang
    Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Xing-Huan Wang
    Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.