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Updated: Jan 19, 2026
An Orthotopic Murine Model of Human Prostate Cancer Metastasis
Published on: September 18, 2013
FENDRR reduces tumor invasiveness in prostate cancer PC-3 cells by targeting CSNK1E
1Department of Urology Surgery, Beijing Hospital, National Center of Gerontology, Beijing, P.R. China. Yaqun Zhang, MD;
Objective:
Prostate cancer, one of the most common malignant tumors in urology, now has become a malignant disease that seriously threatens the health of men in China. Although there are a large number of clinical studies on the treatment of patients with prostate cancer, many patients have entered the advanced stage of diagnosis, and little is known about its pathogenesis.
Materials And Methods:
We identified a series of ncRNA and TF by differential expression analysis, co-expression analysis, enrichment analysis, connectivity analysis, and hypergeometric test strategies for prostate cancer expression genomes.
Results:
53 modules related to prostate cancer PC-3 cells were obtained, involving module focusing of 4448 genes. Based on these modules, we predicted that miR-26a-5p, miR-130a-3p, miR-519d-3p, etc. have important regulatory effects on prostate cancer PC-3 cells. At the same time, a series of transcription factors (relating to RELA, SOX10, TP53, and TWIST2, etc.) were obtained and may play a key regulatory role in prostate cancer PC-3 cell-related modules.
Conclusions:
These results suggest that FENDRR in prostate cancer may reduce tumor invasion in prostate cancer PC-3 cells by targeting CSNK1E, which may have favourable effort to better understand the underlying pathogenesis of prostate cancer and provide a tough theoretical basis for further studying prostate cancer.
Insights
This study identifies key non-coding RNAs (ncRNAs) and transcription factors (TFs) involved in prostate cancer pathogenesis. Findings suggest FENDRR may reduce tumor invasion by targeting CSNK1E, offering insights into advanced prostate cancer.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Prostate cancer is a leading cause of cancer death in men, particularly in China.
- Advanced-stage diagnosis is common, highlighting a need to understand prostate cancer pathogenesis.
- Limited knowledge exists regarding the molecular mechanisms driving prostate cancer progression.
Purpose of the Study:
- To identify key non-coding RNAs (ncRNAs) and transcription factors (TFs) implicated in prostate cancer.
- To elucidate potential regulatory networks in prostate cancer PC-3 cells.
- To explore novel therapeutic targets for advanced prostate cancer.
Main Methods:
- Differential expression, co-expression, enrichment, and connectivity analyses were performed on prostate cancer expression data.
- Hypergeometric tests were utilized to identify significant ncRNA and TF associations.
- Network-based strategies were employed to analyze gene expression modules in PC-3 cells.
Main Results:
- 53 gene modules associated with prostate cancer PC-3 cells were identified, comprising 4448 genes.
- Specific ncRNAs (e.g., miR-26a-5p, miR-130a-3p, miR-519d-3p) and TFs (e.g., RELA, SOX10, TP53, TWIST2) were predicted to have significant regulatory roles.
- The long non-coding RNA FENDRR was implicated in reducing tumor invasion in PC-3 cells.
Conclusions:
- FENDRR may suppress prostate cancer cell invasion by targeting CSNK1E.
- These findings enhance understanding of prostate cancer pathogenesis.
- The study provides a theoretical basis for further research into prostate cancer mechanisms and potential treatments.
