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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
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Transcriptome Network Analysis Identifies CXCL13-CXCR5 Signaling Modules in the Prostate Tumor Immune
Adaugo Q Ohandjo1, Zongzhi Liu2, Eric B Dammer3
1Department of Microbiology, Biochemistry & Immunology, Morehouse School of Medicine, Atlanta, GA, 30310, USA.
Scientific Reports
|October 20, 2019
Summary
The CXCL13-CXCR5 axis in prostate cancer (PCa) is linked to immune microenvironment factors and tumor progression. This study reveals its co-expression with genes influencing invasion, immunity, and patient outcomes.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- The tumor immune microenvironment (TIME) is crucial for prostate cancer (PCa) complexity and progression.
- Understanding gene expression signatures within the TIME can reveal key drivers of PCa heterogeneity and clinical outcomes.
Purpose of the Study:
- To investigate the gene-expression signature of primary prostate tumors.
- To test the hypothesis that the CXCL13-CXCR5 axis co-expresses with factors supporting TIME and PCa progression.
- To identify key drivers regulating CXCL13-CXCR5 signaling in PCa.
Main Methods:
- Acquired gene expression counts and clinical data for PCa patients from TCGA.
- Applied Weighted Gene Co-expression Network Analysis (WGCNA) to identify co-expression patterns.
- Utilized NOISeq for quality checks of TCGA transcriptome data.
Main Results:
- Confirmed the quality of TCGA transcriptome data and identified 12 co-expression networks.
- Demonstrated that CXCL13, CXCR5, and associated genes are part of signaling networks linked to GPCR responsiveness, invasion, immune checkpoints, and innate immunity.
- Identified key canonical pathways and upstream regulators associated with CXCL13-CXCR5 expression and function.
Conclusions:
- The CXCL13-CXCR5 axis is a significant component of signaling networks within the PCa TIME.
- These networks are associated with critical processes including immune responses and tumor cell migration.
- Findings provide insights into potential therapeutic targets for modulating PCa progression.

