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Updated: Oct 11, 2025
Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
Published on: March 29, 2019
Gene regulatory networks analysis of muscle-invasive bladder cancer subtypes using differential graphical model
Yongqing Zhang1,2, Qingyuan Chen1, Meiqin Gong3
1School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
Background:
Recently, erdafitinib (Balversa), the first targeted therapy drug for genetic alteration, was approved to metastatic urothelial carcinoma. Cancer genomics research has been greatly encouraged. Currently, a large number of gene regulatory networks between different states have been constructed, which can reveal the difference states of genes. However, they have not been applied to the subtypes of Muscle-invasive bladder cancer (MIBC).
Results:
In this paper, we propose a method that construct gene regulatory networks under different molecular subtypes of MIBC, and analyse the regulatory differences between different molecular subtypes. Through differential expression analysis and the differential network analysis of the top 100 differential genes in the network, we find that SERPINI1, NOTUM, FGFR1 and other genes have significant differences in expression and regulatory relationship between MIBC subtypes.
Conclusions:
Furthermore, pathway enrichment analysis and differential network analysis demonstrate that Neuroactive ligand-receptor interaction and Cytokine-cytokine receptor interaction are significantly enriched pathways, and the genes contained in them are significant diversity in the subtypes of bladder cancer.
Insights
Gene regulatory networks reveal significant differences in gene expression and regulation across muscle-invasive bladder cancer (MIBC) subtypes. Key genes like SERPINI1 and FGFR1 show distinct patterns, impacting pathways such as Neuroactive ligand-receptor interaction.
Area of Science:
- Genomics
- Bioinformatics
- Oncology
Background:
- Recent approval of erdafitinib highlights advancements in targeted cancer therapy.
- Gene regulatory networks (GRNs) are valuable for understanding gene expression states.
- GRNs have not yet been applied to subtypes of muscle-invasive bladder cancer (MIBC).
Purpose of the Study:
- To construct and analyze gene regulatory networks specific to different molecular subtypes of MIBC.
- To identify regulatory differences between these MIBC subtypes.
Main Methods:
- Construction of gene regulatory networks for MIBC subtypes.
- Differential expression analysis of top 100 differential genes.
- Differential network analysis to compare regulatory patterns.
- Pathway enrichment analysis.
Main Results:
- Significant differences in gene expression and regulatory relationships were found between MIBC subtypes.
- Genes such as SERPINI1, NOTUM, and FGFR1 exhibited notable variations.
- Differential network analysis highlighted key regulatory differences.
Conclusions:
- Neuroactive ligand-receptor interaction and Cytokine-cytokine receptor interaction pathways are significantly enriched in MIBC subtypes.
- Genes within these pathways display considerable diversity across bladder cancer subtypes.
- These findings provide insights into the molecular heterogeneity of MIBC.
