Survival Time Articles

Articles

  • Integration of RNA-Seq and RPPA data for survival time prediction in cancer patients.

    Integration of several types of patient data in a computational framework can accelerate the identification of more reliable biomarkers, especially for prognostic purposes. This study aims to identify biomarkers that can successfully predict the potential survival time of a cancer patient by integrating the transcriptomic (RNA-Seq), proteomic (RPPA), and protein-protein interaction (PPI) data.

    Published September 6, 2017
  • The decrease of cyclin B2 expression inhibits invasion and metastasis of bladder cancer.

    It has been shown that cyclin B2 is commonly overexpressed in many malignant tumors. This study aimed to investigate the potential role of cyclin B2 in bladder cancer.

    Fixed tissues for immunohistochemistry and fresh tissues for western blotting and quantitative real-time polymerase chain reaction assay were randomly selected from Nanfang hospital.

    Published December 28, 2015