ArticleFrontiers in oncology2018
Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network Analysis.
Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers.
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Who cites it
163 citing papers in PubMed.
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- CENPF as a prognostic marker of glioma: unraveling the molecular mechanisms.Journal of cancer research and clinical oncology · 2025Article
- Exploring the molecular mechanisms network of breast cancer by multi-omics analysis.Asia-Pacific journal of clinical oncology · 2025Article
- Identification of Common Angiogenesis Marker Genes in Chronic Lung Diseases and Their Relationship with Immune Infiltration Based on Bioinformatics Approaches.Biomedicines · 2025Article
- Elucidation of the mechanism Underlying the promotion of ferroptosis and enhanced antitumor immunity by citrus polymethoxyflavones in CRC cells.Frontiers in pharmacology · 2025Article
103 more citing papers are in PubMed but not listed here.
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7 authors.
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Abstract
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis are still to be investigated. The aim of this study was to identify the potential genes associated with the progression of breast cancer. Weighted gene co-expression network analysis (WGCNA) was used to construct free-scale gene co-expression networks to explore the associations between gene sets and clinical features, and to identify candidate biomarkers. The gene expression profiles of GSE1561 were selected from the Gene Expression Omnibus (GEO) database. RNA-seq data and clinical information of breast cancer from TCGA were used for validation. A total of 18 modules were identified via the average linkage hierarchical clustering. In the significant module (
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