Analysis of Breast Cancer Based on the Dysregulated Network
- PMID: 35242172
- PMCID: PMC8886234
- DOI: 10.3389/fgene.2022.856075
Analysis of Breast Cancer Based on the Dysregulated Network
Abstract
Breast cancer is a heterogeneous disease, and its development is closely associated with the underlying molecular regulatory network. In this paper, we propose a new way to measure the regulation strength between genes based on their expression values, and construct the dysregulated networks (DNs) for the four subtypes of breast cancer. Our results show that the key dysregulated networks (KDNs) are significantly enriched in critical breast cancer-related pathways and driver genes; closely related to drug targets; and have significant differences in survival analysis. Moreover, the key dysregulated genes could serve as potential driver genes, drug targets, and prognostic markers for each breast cancer subtype. Therefore, the KDN is expected to be an effective and novel way to understand the mechanisms of breast cancer.
Keywords: breast cancer; cancer-related pathways; driver genes; drug targets; dysregulated network; survival analysis.
Copyright © 2022 Huo, Li, Xu, Bao and Liu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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