1. Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer
    Qiang Su et al, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) CrossRef
  2. Construction of a Novel Multigene Panel Potently Predicting Poor Prognosis in Patients with Clear Cell Renal Cell Carcinoma
    Xiaozeng Lin et al, 2020, Cancers CrossRef
  3. Knockdown of microRNA-214-3p Promotes Tumor Growth and Epithelial-Mesenchymal Transition in Prostate Cancer
    Patrice Cagle et al, 2021, Cancers CrossRef
  4. Effective Prediction of Prostate Cancer Recurrence through the IQGAP1 Network
    Yan Gu et al, 2021, Cancers CrossRef
  5. A Novel Angiogenesis-Related Gene Signature to Predict Biochemical Recurrence of Patients with Prostate Cancer following Radical Therapy
    Bohan Fan et al, 2022, Journal of Oncology CrossRef
  6. Discovering Gene Signature Shared by Prostate Cancer and Neurodegenerative Diseases Based on the Bioinformatics Approach
    Qiang Su et al, 2022, Computational and Mathematical Methods in Medicine CrossRef
  7. Differential Expression of a Panel of Ten CNTN1-Associated Genes during Prostate Cancer Progression and the Predictive Properties of the Panel towards Prostate Cancer Relapse
    Yan Gu et al, 2021, Genes CrossRef
  8. Construction and Validation of a Robust Cancer Stem Cell-Associated Gene Set-Based Signature to Predict Early Biochemical Recurrence in Prostate Cancer
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  9. DCBLD1 is associated with the integrin signaling pathway and has prognostic value in non-small cell lung and invasive breast carcinoma
    Guillaume B. Cardin et al, 2021, Scientific Reports CrossRef
  10. Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning
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  11. A novel immune-related gene-based prognostic signature to predict biochemical recurrence in patients with prostate cancer after radical prostatectomy
    Daojun Lv et al, 2021, Cancer Immunology, Immunotherapy CrossRef