Alternative splicing associated with cancer stemness in kidney renal clear cell carcinoma.

Journal: BMC cancer
Published Date: Jun 15, 2021

Abstract

BACKGROUD: Cancer stemness is associated with metastases in kidney renal clear cell carcinoma (KIRC) and negatively correlates with immune infiltrates. Recent stemness evaluation methods based on the absolute expression have been proposed to reveal the relationship between stemness and cancer. However, we found that existing methods do not perform well in assessing the stemness of KIRC patients, and they overlooked the impact of alternative splicing. Alternative splicing not only progresses during the differentiation of stem cells, but also changes during the acquisition of the stemness features of cancer stem cells. There is an urgent need for a new method to predict KIRC-specific stemness more accurately, so as to provide help in selecting treatment options.

Authors

  • Lixing Xiao
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China.
  • Guoying Zou
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China.
  • Rui Cheng
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Pingping Wang
    School of Electrical and Information Engineering, Tianjin University, 300072, Tianjin, China.
  • Kexin Ma
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China.
  • Huimin Cao
    College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Wenyang Zhou
    School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
  • Xiyun Jin
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China.
  • Zhaochun Xu
    Computer Department, Jingdezhen Ceramic University, Jingdezhen, China.
  • Yan Huang
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Xiaoyu Lin
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China.
  • Huan Nie
    Center for Bioinformatics, School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150000, China. nh1212@hit.edu.cn.
  • Qinghua Jiang
    School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.

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