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Updated: Apr 19, 2026

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
Analysis of signaling pathways in recurrent breast cancer
1Breast Cancer Diagnosis and Treatment Center Henan, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Abstract:
Breast cancer remains the second largest cause of death in women from cancer. By analyzing gene expression profiles in samples from breast cancer patients, 844 differentially expressed genes (DEGs) were identified in breast cancer metastasis. The 10 most significant signaling pathways identified through enrichment analysis contained DEGs were involved in oxidative phosphorylation, DNA replication, extracellular matrix-receptor interactions and others. Furthermore, survival analysis demonstrated that 5 of these signaling pathways were closely related to the survival time of breast cancer patients including basal transcription factors, cell cycle, ECM-receptor interaction, spliceosome, and DNA replication. Our findings increase the understanding of the network of signaling pathways involved in breast cancer metastasis and may provide theoretical support for further therapeutic study.
Insights
This study identified 844 differentially expressed genes in breast cancer metastasis, highlighting key signaling pathways like DNA replication and cell cycle. These findings offer insights into breast cancer progression and potential therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Breast cancer is a leading cause of cancer death in women.
- Understanding the molecular mechanisms of metastasis is crucial for improving patient outcomes.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) in breast cancer metastasis.
- To analyze the involvement of signaling pathways in breast cancer metastasis and patient survival.
Main Methods:
- Analysis of gene expression profiles from breast cancer patient samples.
- Enrichment analysis to identify significant signaling pathways.
- Survival analysis to correlate pathways with patient survival time.
Main Results:
- Identified 844 DEGs associated with breast cancer metastasis.
- Found 10 significant signaling pathways involved in metastasis, including oxidative phosphorylation, DNA replication, and extracellular matrix-receptor interactions.
- Five pathways (basal transcription factors, cell cycle, ECM-receptor interaction, spliceosome, DNA replication) significantly correlated with patient survival.
Conclusions:
- The study elucidates the network of signaling pathways implicated in breast cancer metastasis.
- Findings provide a foundation for further research into targeted therapies for breast cancer.
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