Related Experiment Videos
Benchmarking pathway interaction network for colorectal cancer to identify dysregulated pathways
1Department of General Surgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi Province, China.
Summary
Researchers identified 30 dysregulated pathways crucial for colorectal cancer (CRC) pathogenesis. These pathways, including mRNA splicing, show significant interactions and may serve as novel diagnostic biomarkers for CRC.
Area of Science:
- Molecular Biology
- Bioinformatics
- Cancer Research
Background:
- Biological processes rely on synergistic interactions between multiple pathways.
- Understanding pathway dependencies is key to investigating complex diseases like colorectal cancer (CRC).
Purpose of the Study:
- To identify dysregulated pathways in CRC pathogenesis by analyzing functional dependencies.
- To explore the potential of these pathways as diagnostic biomarkers.
Main Methods:
- Utilized protein-protein interaction (PPI) data from STRING and pathway data from Reactome.
- Calculated pathway activity using principal component analysis (PCA) to identify a seed pathway (DNA replication).
- Constructed a pathway interaction network (PIN) and selected 30 dysregulated pathways based on classification performance.
Main Results:
- A PIN with 11,960 interactions was built, highlighting mRNA splicing pathways with the highest interaction score.
- DNA replication was identified as the seed pathway with the maximum activity score change between CRC and normal samples.
- A set of 30 dysregulated pathways, including mRNA splicing and RNA polymerase I, were identified, exhibiting significant crosstalk.
Conclusions:
- The identified 30 dysregulated pathways demonstrate significant functional dependencies and crosstalk in CRC.
- These pathways, particularly mRNA splicing, show potential as novel biomarkers for CRC diagnosis.