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Updated: Mar 9, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer
Cancan Peng1, Wenli Ma1, Wei Xia2
1Institute of Genetic Engineering, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
Abstract:
Triple‑negative breast cancer (TNBC) is a heterogeneous disease characterized by an aggressive phenotype and reduced survival. The aim of the present study was to investigate the molecular mechanisms involved in the carcinogenesis of TNBC and to identify novel target molecules for therapy. The differentially expressed genes (DEGs) in TNBC and normal adjacent tissue were assessed by analyzing the GSE41970 microarray data using Qlucore Omics Explorer, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes. Pathway enrichment analyses for DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery online resource. A protein‑protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes, and subnetworks were analyzed by ClusterONE. The PPI network and subnetworks were visualized using Cytoscape software. A total of 121 DEGs were obtained, of which 101 were upregulated and 20 were downregulated. The upregulated DEGs were significantly enriched in 14 pathways and 83 GO biological processes, while the downregulated DEGs were significantly enriched in 18 GO biological processes. The PPI network with 118 nodes and 1,264 edges was constructed and three subnetworks were extracted from the entire network. The significant hub DEGs with high degrees were identified, including TP53, glyceraldehyde‑3‑phosphate dehydrogenase, cyclin D1, HRAS and proliferating cell nuclear antigen, which were predominantly enriched in the cell cycle pathway and pathways in cancer. A number of critical genes and pathways were revealed to be associated with TNBC. The present study may provide an improved understanding of the pathogenesis of TNBC and contribute to the development of therapeutic targets for TNBC.
Insights
This study identifies key genes and pathways involved in triple-negative breast cancer (TNBC) development. Findings offer insights into TNBC pathogenesis and potential new therapeutic targets for this aggressive disease.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous disease with poor survival rates.
- Understanding the molecular mechanisms driving TNBC carcinogenesis is crucial for developing effective therapies.
Purpose of the Study:
- To investigate the molecular mechanisms underlying TNBC development.
- To identify novel molecular targets for TNBC therapy.
Main Methods:
- Analysis of differentially expressed genes (DEGs) in TNBC versus normal tissue using microarray data (GSE41970).
- Pathway and Gene Ontology (GO) enrichment analyses.
- Construction and analysis of protein-protein interaction (PPI) networks and subnetworks.
Main Results:
- Identified 121 DEGs (101 upregulated, 20 downregulated).
- Upregulated DEGs enriched in cell cycle and cancer pathways.
- Key hub genes including TP53, GAPDH, CCND1, HRAS, and PCNA were identified.
Conclusions:
- This study reveals critical genes and pathways associated with TNBC pathogenesis.
- Findings contribute to a better understanding of TNBC and may guide the development of new therapeutic strategies.

