Discovery of Lipid Metabolism Networks as Key Pathways in Breast Cancer via Genomic Data Integration and WGCNA
The integration of Omics data through WGCNA uncovered key interconnected gene modules, emphasizing the critical role of lipid metabolism in cancer progression. These results underscore the need for targeted therapeutic strategies to restore hub gene expression and to present potential biomarkers for early diagnosis and treatment. Moreover, lipid metabolism emerged as a pivotal pathway in breast cancer progression, suggesting that its regulation could be essential not only for targeted therapies but also for the prevention and control of the disease. This approach offers promising avenues for early intervention that could potentially reduce cancer risk.
Authors
- Maryam Hedayati (ORCID: https://orcid.org/0000-0002-5425-5514)
- Sedigheh Nematollahi
- Nasrin Fattahi Dolatabadi
- Qumars Behfar (ORCID: https://orcid.org/0000-0001-5217-924X)
- Rahgozar Mahdi
- Fatemeh Gholami (ORCID: https://orcid.org/0000-0003-2665-5155)
- Alireza Karimi (ORCID: https://orcid.org/0000-0002-3535-3952)
- Minoo Dabiri Golchin (ORCID: https://orcid.org/0000-0002-8881-6690)
- Ehsan Kazem Nejad
- Alireza Azizi (ORCID: https://orcid.org/0009-0005-1184-9127)
- Saeed Sadeghi (ORCID: https://orcid.org/0000-0002-4062-0170)
- Saba Delasaeimarvi (ORCID: https://orcid.org/0009-0006-4462-2743)
- Zahra Ourang (ORCID: https://orcid.org/0009-0002-5700-1090)
- Darya Zakerhamidi
- Mohadese Safabakhsh
- Rezvan Shahparvary
- Fatemeh Talouki
- Kiana Esmaeili
- Nasibeh Sargazi-Moghaddam
Publication Details
- Journal
- Clinical Laboratory
- Published
- 2025-01-01
- DOI
- https://doi.org/10.7754/clin.lab.2024.240909
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00