Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer.

Journal: International immunopharmacology
Published Date: Jun 1, 2024

Abstract

BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment of bladder cancer (BCa) patients remains challenging. While immunotherapy has emerged as a promising approach, its benefits are limited to a subset of patients. The exploration of additional targets to enhance the efficacy of immunotherapy is a valuable research direction.

Authors

  • Jinge Zhang
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Yuan Huang
    School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China.
  • Xing Tan
    Department of Nanfang Hospital Administration Office, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, PR China.
  • Zihuan Wang
    Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, PR China.
  • Ranyang Cheng
    Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, PR China.
  • Shenlan Zhang
    Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, PR China.
  • Yuwen Chen
    QPS Taiwan, Center of Toxicology and Preclinical Sciences, No. 103, Lane 169, Kangning Street, Xizhi District, New Taipei City 221, Taiwan.
  • Feifan Jiang
    Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, PR China.
  • Wanlong Tan
    Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, PR China. Electronic address: twl@smu.edu.cn.
  • Xiaolin Deng
    Department of Urology, Ganzhou People's Hospital, Ganzhou, PR China. Electronic address: 279971368@qq.com.
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.

Keywords

External Resources

Popular Topics
Recent Journals