ArticleOncoTargets and therapy2020
Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNA.
Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 1 of them a synthesis that pooled it.
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Who cites it
135 citing papers in PubMed, 1 synthesis or guideline pooled it, 210 citations in OpenAlex.
- Pooled it
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- Bladder cancer-induced CVD mortality: Role of CAPG protein.PloS one · 2026Article
- Decoding Dementia Mechanisms: Identification of Key Oligodendrocyte- Associated Genes through Integrative Bioinformatics and Machine Learning.Current topics in medicinal chemistry · 2026Article
- Serum fucosylated receptor expression-enhancing protein 5 as a biomarker for early stage pancreatic cancer.Oncology letters · 2025Article
- Upregulation of metallophore-related genes of community-acquired methicillin-resistant Staphylococcus aureus enhances pathogenicity in BALB/c mice.BMC genomics · 2025Article
- Integrating transcriptomics, single-cell omics, and deep learning-based histopathological features to identifyTranslational andrology and urology · 2025Article
- AIVIVE: a novel AI framework for enhanced in vitro to in vivo extrapolation (IVIVE) of toxicogenomics data.Toxicological sciences : an official journal of the Society of Toxicology · 2025Article
75 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBreast cancer (BRCA) has the highest incidence among female malignancies, and the prognosis for these patients remains poor. MATERIALS AND
methodsIn this study, core modules and central genes related to BRCA were identified through a weighted gene co-expression network analysis (WGCNA). Gene expression profiles and clinical data of GSE25066 were obtained from the Gene Expression Omnibus (GEO) database. The result was validated with RNA-seq data from The Cancer Genome Atlas (TCGA) and Oncomine database. The top 30 key module genes with the highest intramodule connectivity were selected as the core genes (R
resultsAccording to TCGA and Oncomine datasets, seven genes were selected as candidate hub genes. Following further experimental verification, four hub genes (FAM171A1, NDFIP1, SKP1, and REEP5) were retained.
conclusionWe identified four hub genes as candidate biomarkers for BRCA. These hub genes may provide a theoretical basis for targeted therapy against BRCA.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.