LRLikai Ren

Likai Ren

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Likai Ren has a total of 12 co-authors. Here are the top co-authors by number of shared publications:

  • Hong Wang

    Department of Urology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China

    1 shared publication
  • Jiyuan Yu

    Department of Urology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China

    1 shared publication
  • Kaidi Jin

    Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 201203, China

    1 shared publication
  • Linxiong Ye

    Department of Biological Medicines & Shanghai Engineering Research Center of ImmunoTherapeutics, School of Pharmacy, Fudan University, Shanghai 201203, China

    1 shared publication
  • Qi Zhang

    Department of Urology, RenJi Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China

    1 shared publication
  • Wei Xue

    Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    1 shared publication

Latest Publications

  • Open Access

    Single Cell and Bulk RNA-Seq Profiling of Non-Metastatic Versus Bone-Metastatic Prostate Cancer Identifies the CXCL10-CXCR3 Axis as a Key Determinant of Tumor Microenvironment and Treatment Resistance

    by Zijian Song, Likai Ren, Hong Wang, Yanqing Wang, Xinxing Du, Wei Zhou, Qi Zhang, Jiyuan Yu, Zaixu Zhao, Linxiong Ye, et al.

    Background: Bone metastasis is a major determinant of morbidity and therapeutic failure in advanced prostate cancer (PCa); however, the transcriptional programs and tumor microenvironmental alterations driving metastatic progression remain incompletely understood. This study aimed to systematically characterize transcriptomic differences between non-metastatic and bone-metastatic PCa and to identify key microenvironmental signaling pathways involved in tumor survival and chemoresistance. Methods: Bulk RNA sequencing was performed on 49 non-metastatic and 28 bone-metastatic PCa specimens. Differential expression analysis was integrated with weighted gene co-expression network analysis (WGCNA), gene set enrichment analysis, and immune/stromal deconvolution. Key findings were validated using in vitro functional assays, including Transwell co-culture models, small interfering RNA (siRNA)-mediated gene silencing, cell viability, apoptosis, and docetaxel resistance analyses. Results: Transcriptomic profiling identified 574 differentially expressed genes. Bone-metastatic tumors were enriched in ribosome-related and translational pathways, whereas non-metastatic tumors displayed immune-associated signatures, including natural killer (NK) cell-mediated cytotoxicity and cytokine signaling. WGCNA revealed immune-related gene modules preferentially enriched in non-metastatic disease. Immune deconvolution demonstrated significantly higher infiltration of NK cells and endothelial cells in non-metastatic tumors. Chemokine-receptor analysis highlighted upregulation of the CXCL10-CXCR3 axis in non-metastatic PCa. In vitro, PCa cells expressed CXCR3, while endothelial cells markedly increased CXCL10 expression upon co-culture. Functional assays showed that endothelial-derived CXCL10 promoted PCa cell survival, suppressed apoptosis, and conferred resistance to docetaxel via CXCR3-dependent signaling; these effects were reversed by CXCL10 or CXCR3 knockdown. Conclusions: These findings uncover a context-dependent endothelial-immune chemokine network distinguishing non-metastatic from bone-metastatic PCa and identify the CXCL10-CXCR3 axis as a critical mediator of tumor survival and chemoresistance, suggesting a potential therapeutic vulnerability in advanced prostate cancer.