An improved clear cell renal cell carcinoma stage prediction model based on gene sets.

Journal: BMC bioinformatics
Published Date: Jun 8, 2020

Abstract

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma and accounts for cancer-related deaths. Survival rates are very low when the tumor is discovered in the late-stage. Thus, developing an efficient strategy to stratify patients by the stage of the cancer and inner mechanisms that drive the development and progression of cancers is critical in early prevention and treatment.

Authors

  • Fangjun Li
    School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China.
  • Mu Yang
    Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China.
  • Yunhe Li
    School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China.
  • Mingqiang Zhang
    School of Information Science and Engineering, Shandong University, Jinan, China.
  • Wenjuan Wang
    School of Population Health & Environmental Sciences, Faculty of Life Science and Medicine, King's College London, London, United Kingdom.
  • Dongfeng Yuan
    School of Information Science and Engineering, Shandong University, supported by Shandong Provincial Key Laboratory of Wireless Communication Technologies, Jinan, 250100, China. dfyuan@sdu.edu.cn.
  • Dongqi Tang
    Center for Gene and Immunothererapy, The Second Hospital of Shandong University, Jinan, 250033, China. tangdq@sdu.edu.cn.

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