Integrated transcriptome analysis and combinatorial machine learning to construct a homeostatic model of acetylation for ccRCC and validate the key gene GCNT4.

Journal: Cancer cell international
Published Date:

Abstract

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of the urinary system. Protein acetylation plays a key role in regulating cellular processes and cancer signaling pathways. This study explores the potential biological mechanisms of ccRCC from the perspective of acetylation.

Authors

  • Baohua Zhu
    Department of Urology, The First Affiliated Hospital, Naval Medical University, Second Military Medical University, Shanghai, China.
  • Ziyang Mo
    Department of Urology, The First Affiliated Hospital, Naval Medical University, Second Military Medical University, Shanghai, China.
  • Yi Bao
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
  • Xinxin Gan
    Department of Urology, The First Affiliated Hospital, Naval Medical University, Second Military Medical University, Shanghai, China. ganxxhee@163.com.
  • Linhui Wang
    Department of Urology, Changzheng Hospital, Naval Military Medical University, Shanghai, PR China. Electronic address: wanglinhui@smmu.edu.cn.

Keywords

No keywords available for this article.