ArticleScientific reports2020
Weighted miRNA co-expression networks analysis identifies circulating miRNA predicting overall survival in hepatocellular carcinoma patients.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Cell-free and extracellular vesicle microRNAs with clinical utility for solid tumors.Molecular oncology · 2025Review
- Exploring the Role of microRNAs as Blood Biomarkers in Alzheimer's Disease and Frontotemporal Dementia.International journal of molecular sciences · 2025Review
- Space radiation damage rescued by inhibition of key spaceflight associated miRNAs.Nature communications · 2024Article
- Battle of the biopsies: Role of tissue and liquid biopsy in hepatocellular carcinoma.Journal of hepatology · 2024Review
- An evolutionary learning-based method for identifying a circulating miRNA signature for breast cancer diagnosis prediction.NAR genomics and bioinformatics · 2024Article
- Activation of IGFBP4 via unconventional mechanism of miRNA attenuates metastasis of intrahepatic cholangiocarcinoma.Hepatology international · 2024Article
- Construction of a prognostic prediction model in liver cancer based on genes involved in integrin cell surface interactions pathway by multi-omics screening.Frontiers in cell and developmental biology · 2024Article
- Integrated analysis of inflammatory mRNAs, miRNAs, and lncRNAs elucidates the molecular interactome behind bovine mastitis.Scientific reports · 2023Article
- Long noncoding RNAs with peptide-encoding potential identified in esophageal squamous cell carcinoma: KDM4A-AS1-encoded peptide weakens cancer cell viability and migratory capacity.Molecular oncology · 2023Article
- Brain structure and allelic associations in Alzheimer's disease.CNS neuroscience & therapeutics · 2023Article
- WGCNA-based identification of potential targets and pathways in response to treatment in locally advanced breast cancer patients.Open medicine (Warsaw, Poland) · 2023Article
- Predictors of Hepatocellular Carcinoma Early Recurrence in Patients Treated with Surgical Resection or Ablation Treatment: A Single-Center Experience.Diagnostics (Basel, Switzerland) · 2022Article
- Systematic Analysis of the Grafting-Related Glucanase-Encoding GH9 Family Genes in Pepper, Tomato and Tobacco.Plants (Basel, Switzerland) · 2022Article
- Integrated Multiomics Analysis of Salivary Exosomes to Identify Biomarkers Associated with Changes in Mood States and Fatigue.International journal of molecular sciences · 2022Article
- A six-miRNA signature as a novel biomarker for improving prediction of prognosis and patterns of immune infiltration in hepatocellular carcinoma.American journal of translational research · 2022Article
- BATF2 and PDK4 as diagnostic molecular markers of sarcoidosis and their relationship with immune infiltration.Annals of translational medicine · 2022Article
- Identification and validation of potential novel biomarkers to predict distant metastasis in differentiated thyroid cancer.Annals of translational medicine · 2021Article
- Identification and Analysis of Potential Autophagy-Related Biomarkers in Endometriosis by WGCNA.Frontiers in molecular biosciences · 2021Article
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6 authors.
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Abstract
The weighted gene co-expression network analysis (WGCNA) has been used to explore gene expression datasets by constructing biological networks based on the likelihood expression profile among genes. In recent years, WGCNA found application in biomarker discovery studies, including miRNA. Serum samples from 20 patients with hepatocellular carcinoma (HCC) were profiled through miRNA 3.0 gene array and miRNAs biomarker candidates were identified through WGCNA. Results were validated by qRT-PCR in 102 HCC serum samples collected at diagnosis. WGCNA identified 16 miRNA modules, nine of them were significantly associated with the clinical characteristics of the patient. The Red module had a significant negative correlation with patients Survival (- 0.59, p = 0.007) and albumin (- 0.52, p = 0.02), and a positive correlation with PCR (0.61, p = 0.004) and alpha-fetoprotein (0.51, p = 0.02). In the red module, 16 circulating miRNAs were significantly associated with patient survival. MiR-3185 and miR-4507 were identified as predictors of patient survival after the validation phase. At diagnosis, high expression of circulating miR-3185 and miR-4507 identifies patients with longer survival (HR 2.02, 95% CI 1.10-3.73, p = 0.0086, and HR of 1.75, 95% CI 1.02-3.02, p = 0.037, respectively). Thought a WGCNA we identified miR-3185 and miR-4507 as promising candidate biomarkers predicting a longer survival in HCC patients.
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