High-throughput LDI MS technology decodes the distinct metabolic landscape of prostate cancer in a large-scale cohort.

Journal: Biomarker research
Published Date: Jul 9, 2025

Abstract

BACKGROUND: Prostate cancer (PCa) remains a leading global malignancy, yet current diagnostic reliance on prostate-specific antigen (PSA) testing is limited by suboptimal sensitivity and specificity for early-stage detection. The present study aims to establish an effective high-throughput screening technique for accurate PCa diagnosis.

Authors

  • Xinrong Jiang
    School of Pharmacy, Lanzhou University, Lanzhou, Gansu, China.
  • Chen Zhang
    Department of Dermatology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
  • Jing Le
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Shuo Cao
    Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, P. R. China.
  • Xinran Xu
    College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
  • Xiaoming Chen
    College of Mathematics and Computer Science, Fuzhou University, Fujian province, China.
  • Sheng Cheng
    Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, No. 3 East Qingchun Road, Hangzhou, 310016, Zhejiang, China.
  • Haitao Yu
    Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China.
  • Haofei Jiang
    Department of Urology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, P. R. China.
  • Ruichen Zang
    Department of Urology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, P. R. China.
  • Kunyu Wang
    School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.
  • Weiwu Chen
    Department of Urology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, P. R. China.
  • Haobo Fan
    School of Highway, Chang'an University, Xi'an 710064, China.
  • Jianmin Wu
    Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
  • Yanlan Yu
    Department of Urology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, P. R. China. Yanlanyu@zju.edu.cn.
  • Guoqing Ding
    Department of Urology, School of Medicine, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, P. R. China. 3196014@zju.edu.cn.

Keywords

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