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Updated: Jun 2, 2026
03:08
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in
Jesús Lascorz1, Kari Hemminki, Asta Försti
1Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Journal of Carcinogenesis
|April 13, 2011
Summary
This study used pathway enrichment analysis to identify consistently dysregulated gene categories in colorectal cancer. These findings highlight functionally related genes involved in cancer development, offering new avenues for research.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Gene expression profiling (GEP) studies in colorectal carcinogenesis lack reproducible gene signatures.
- Functionally related genes, not individual ones, are increasingly recognized as contributors to complex traits.
- A novel pathway enrichment approach was employed to identify consistently dysregulated gene sets.
Purpose of the Study:
- To identify consistently up- or down-regulated functionally related genes in colorectal carcinogenesis.
- To overcome the limitations of reproducibility in previous gene signature discoveries.
- To leverage pathway enrichment tools for a more robust analysis of GEP data.
Main Methods:
- Analysis of 242 unique annotated genes from three meta-analyses of GEP studies.
- Application of nine bioinformatic tools for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment.
- Selection of pathway categories enriched by multiple tools as a consistency criterion.
Main Results:
- Pathway enrichment analysis identified significant overrepresentation of ribosomal protein constituents.
- Extracellular matrix receptor interaction pathways were consistently overrepresented.
- Categories related to carbonic anhydrase isozymes, inflammation, and cellular response were also significantly identified.
Conclusions:
- Consistently enriched gene categories with known functional relationships to cancer development were identified.
- The study successfully triaged GEP literature using multiple enrichment tools.
- These findings warrant further investigation into the identified gene categories for their role in colorectal cancer.
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