Development and Validation of a Four Micro RNA-Mediated Signature for Placenta Accreta: An Integrated Competing Endogenous RNA Network Analysis

2019 ◽  
Author(s):  
Tian Yang ◽  
Na Li ◽  
Rui Hou ◽  
Chong Qiao ◽  
Caixia Liu
Keyword(s):  
Network Analysis ◽  
Placenta Accreta ◽  
Micro Rna ◽  
Competing Endogenous Rna ◽  
Competing Endogenous Rna Network ◽  
Development And Validation

Identifying Molecular Markers of Cervical Cancer Based on Competing Endogenous RNA Network Analysis

2019 ◽  
Vol 84 (4) ◽  
pp. 350-359 ◽  
Author(s):  
Shanshan Qin ◽  
Yingchun Gao ◽  
Yijun Yang ◽  
Lei Zhang ◽  
Ting Zhang ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Molecular Markers ◽  
Network Analysis ◽  
Competing Endogenous Rna ◽  
Competing Endogenous Rna Network

scholarly journals Competing endogenous RNA network analysis identifies critical genes among the different breast cancer subtypes

Oncotarget ◽  
2016 ◽  
Vol 8 (6) ◽  
pp. 10171-10184 ◽  
Author(s):  
Juan Chen ◽  
Juan Xu ◽  
Yongsheng Li ◽  
Jinwen Zhang ◽  
Hong Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Network Analysis ◽  
Breast Cancer Subtypes ◽  
Competing Endogenous Rna ◽  
Cancer Subtypes ◽  
Competing Endogenous Rna Network

scholarly journals Identification of lncRNA and mRNA Biomarkers in Osteoarthritic Degenerative Meniscus by Weighted Gene Coexpression Network and Competing Endogenous RNA Network Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Jun Zhao ◽  
Yu Su ◽  
Jianfei Jiao ◽  
Zhengchun Wang ◽  
Xiangchun Fang ◽  
...  
Keyword(s):  
Network Analysis ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Coexpression Network ◽  
Competing Endogenous Rna ◽  
Roc Curve Analysis ◽  
Competing Endogenous Rna Network ◽  
Meniscus Degeneration

Background. Long noncoding RNAs (lncRNAs) play a crucial role in varieties of biological processes. This study is aimed at investigating meniscal degeneration-specific lncRNAs and mRNAs and their related networks in knee osteoarthritis (KOA). Methods. The dataset GSE98918, which included 24 meniscus samples and related clinical data, was downloaded from the Gene Expression Omnibus database. The differentially expressed lncRNAs and mRNAs in the meniscus between KOA and control groups were identified. Based on the enriched differentially expressed lncRNAs and mRNAs, we constructed the coexpression network using WGCNA (weighted correlation network analysis) and identified the critical module related to KOA. For mRNAs in the key module, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out using the DAVID database. A competing endogenous RNA network (ceRNA) based on the screened mRNAs, lncRNAs, and related miRNAs was constructed to reveal presumptive biomarkers further. Finally, the hub lncRNAs and mRNAs were screened, and the diagnostic value was evaluated using a receiver operating characteristic (ROC) curve. Hub mRNAs were validated using the dataset GSE113825. Results. We screened 208 significantly differentially expressed lncRNAs and mRNAs in menisci between the KOA and non-KOA samples, which were enriched in sixteen modules using WGCNA, especially the green module. Coexpression network based on the enriched differentially expressed lncRNAs and mRNAs in the green module uncovered 5 lncRNAs and 56 mRNAs. The lncRNA-miRNA-mRNA ceRNA network revealed that lnc-HLA-DQA1-5, lnc-RP11-127H5.1.1-1, lnc-RTN2-1, IGFBP4 (insulin-like growth factor binding protein 4), and KLF2 (Kruppel-like factor 2) were significantly correlated with the meniscus degeneration of KOA. ROC curve analysis revealed that these hub lncRNAs and mRNAs showed excellent diagnostic value for KOA. Conclusions. These hub lncRNAs and mRNAs were potential prognostic biomarkers for the meniscus degeneration of KOA. Further studies are required to validate these new biomarkers and better understand the pathological process of the meniscus degeneration of KOA.

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