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Updated: Apr 20, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
Key regulators in prostate cancer identified by co-expression module analysis
Junfeng Jiang, Peilin Jia, Zhongming Zhao1
1Center for Systems Biology, Soochow University, Jiangsu, China. zhongming.zhao@vanderbilt.edu.
Background:
Prostate cancer (PrCa) is the most commonly diagnosed cancer in men in the world. Despite the fact that a large number of its genes have been investigated, its etiology remains poorly understood. Furthermore, most PrCa candidate genes have not been rigorously replicated, and the methods by which they biologically function in PrCa remain largely unknown.
Results:
Aiming to identify key players in the complex prostate cancer system, we reconstructed PrCa co-expressed modules within functional gene sets defined by the Gene Ontology (GO) annotation (biological process, GO_BP). We primarily identified 118 GO_BP terms that were well-preserved between two independent gene expression datasets and a consequent 55 conserved co-expression modules within them. Five modules were then found to be significantly enriched with PrCa candidate genes collected from expression Quantitative Trait Loci (eQTL), somatic copy number alteration (SCNA), somatic mutation data, or prognostic analyses. Specifically, two transcription factors (TFs) (NFAT and SP1) and three microRNAs (hsa-miR-19a, hsa-miR-15a, and hsa-miR-200b) regulating these five candidate modules were found to be critical to the development of PrCa.
Conclusions:
Collectively, our results indicated that genes with similar functions may play important roles in disease through co-expression, and modules with different functions could be regulated by similar genetic components, such as TFs and microRNAs, in a synergistic manner.
Insights
This study identifies key gene co-expression modules and regulatory elements, including transcription factors and microRNAs, crucial for prostate cancer (PrCa) development. These findings offer new insights into the complex etiology of PrCa.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Prostate cancer (PrCa) is a leading global cancer in men.
- The etiology of PrCa is poorly understood despite extensive gene investigation.
- Replication of PrCa candidate genes and their biological functions remain challenging.
Purpose of the Study:
- To identify key players in the prostate cancer system.
- To reconstruct prostate cancer co-expressed gene modules within Gene Ontology (GO) functional sets.
- To find conserved modules enriched with PrCa candidate genes.
Main Methods:
- Reconstruction of PrCa co-expressed modules using Gene Ontology (GO) annotation (biological process, GO_BP).
- Identification of conserved modules across two independent gene expression datasets.
- Enrichment analysis of modules with PrCa candidate genes from eQTL, SCNA, mutation, and prognostic data.
Main Results:
- 118 GO_BP terms and 55 conserved co-expression modules were identified.
- Five modules were significantly enriched with PrCa candidate genes.
- Two transcription factors (NFAT, SP1) and three microRNAs (hsa-miR-19a, hsa-miR-15a, hsa-miR-200b) were found critical for PrCa development.
Conclusions:
- Genes with similar functions play roles in disease via co-expression.
- Modules with different functions can be synergistically regulated by common genetic components like TFs and microRNAs.
- This study provides a framework for understanding PrCa etiology through gene co-expression network analysis.
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