ArticleAging2020
Identification of key modules and genes associated with breast cancer prognosis using WGCNA and ceRNA network analysis.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
56 citing papers in PubMed, 83 citations in OpenAlex.
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- A network pharmacology-based strategy to discover the molecular mechanism of correlation between the treatment of bronchial asthma with Wenyang Huayin decoction and autophagy.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026Article
- Identification of ITGA2 as a methylation-regulated oncogene through a CeRNA network in papillary thyroid carcinoma.Discover oncology · 2025Article
- Proline-rich 15 depletion enhances Nrf2 cascade to promote osteoblast survival from oxidative injury.Communications biology · 2025Article
- Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.Scientific reports · 2025Article
- Integrative analysis of ceRNA networks and immune cell infiltration in thyroid cancer for enhanced diagnostic and prognostic insights.Scientific reports · 2025Article
- The expression and functional role of proline-rich 15 in non-small cell lung cancer.Cell death & disease · 2025Article
- Construction and validation of a prognostic signature using WGCNA-identified key genes in osteosarcoma for treatment evaluation.Translational cancer research · 2025Article
- LncRNA SNHG15 acts as a ceRNA to promote breast cancer progression through the miR-153-3p/KLF5 signal axis.Journal of Cancer · 2025Article
- Deciphering molecular landscape of breast cancer progression and insights from functional genomics and therapeutic explorations followed by in vitro validation.Scientific reports · 2024Article
- Importance of LINC00852/miR-145-5p in breast cancer: a bioinformatics and experimental study.Discover oncology · 2024Article
- In-silico identification of therapeutic targets in pancreatic ductal adenocarcinoma using WGCNA and Trader.Scientific reports · 2024Article
- Targeted co-expression networks for the study of traits.Scientific reports · 2024Article
- TEX19 increases the levels of CDK4 and promotes breast cancer by disrupting SKP2-mediated CDK4 ubiquitination.Cancer cell international · 2024Article
- Pan-cancer analysis of ARFs family and ARF5 promoted the progression of hepatocellular carcinoma.Heliyon · 2024Article
- Identification of the communal pathogenesis and immune landscape between viral myocarditis and dilated cardiomyopathy.ESC heart failure · 2024Article
- Weighted gene co-expression network analysis for hub genes in colorectal cancer.Pharmacological reports : PR · 2024Article
- Long non-coding RNA MEG3 acts as a suppressor in breast cancer by regulating miR-330/CNN1.Aging · 2024Article
- Prognostic analysis of patients with gastric cancer based on NFrontiers in pharmacology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is one of the leading causes of cancer-associated mortality in women worldwide and has become a major public health problem. Although the definitive cause of breast cancer is not known, many genes sensitive to breast cancer have been detected using advanced technologies. Our study identified 3301 differentially expressed lncRNAs and mRNAs between tumor and normal samples from The Cancer Genome Atlas database. Based on the gene expression analysis and clinical traits as well as weighted gene co-expression network analysis, the co-expression Brown module was found to be key for breast cancer prognosis. A total of 453 genes in the Brown module were used for functional enrichment, protein-protein interaction analysis, lncRNA-miRNA-mRNA ceRNA network, and lncRNA-RNA binding protein-mRNA network construction.
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Registered trials
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.