Comprehensive analysis of lncRNA biomarkers in kidney renal clear cell carcinoma by lncRNA-mediated ceRNA network
| Autor: | Li Xie, Ting Xie, Yong Luo, Zhi-Ping Tan, Yifeng Yang, Ke Gong, Jin-Lan Chen, Hui Guo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Male Biochemistry Lung and Intrathoracic Tumors 0302 clinical medicine Medicine and Health Sciences Gene Regulatory Networks Kidney Multidisciplinary Middle Aged Prognosis Gene Expression Regulation Neoplastic Nucleic acids medicine.anatomical_structure Oncology Nephrology 030220 oncology & carcinogenesis Renal Cancer Long non-coding RNA Medicine Female RNA Long Noncoding Research Article Science Computational biology Biology 03 medical and health sciences Diagnostic Medicine microRNA Gastrointestinal Tumors medicine Genetics Humans RNA Messenger Non-coding RNA Carcinoma Renal Cell Survival analysis Aged Proportional Hazards Models Renal clear cell carcinoma Messenger RNA Natural antisense transcripts Biology and life sciences Competing endogenous RNA Carcinoma Curve analysis Renal Cell Carcinoma RNA Cancers and Neoplasms Gene regulation Non-Small Cell Lung Cancer MicroRNAs Gastric Cancer Genitourinary Tract Tumors 030104 developmental biology Gene expression Biomarkers |
| Zdroj: | PLoS ONE, Vol 16, Iss 6, p e0252452 (2021) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Introduction Kidney renal clear cell carcinoma (KIRC) has a high incidence globally, and its pathogenesis remains unclear. Long non-coding RNA (lncRNA), as a molecular sponge, participates in the regulation of competitive endogenous RNA (ceRNA). We aimed to construct a ceRNA network and screened out possible lncRNAs to predict KIRC prognosis. Material and methods All KIRC data were downloaded from the TCGA database and screened to find the possible target lncRNA; a ceRNA network was designed. Next, GO functional enrichment and KEGG pathway of differentially expressed mRNA related to lncRNA were performed. We used Kaplan-Meier curve analysis to predict the survival of these RNAs. We used Cox regression analysis to construct a model to predict KIRC prognosis. Results In the KIRC datasets, 1457 lncRNA, 54 miRNA and 2307 mRNA were screened out. The constructed ceRNA network contained 81 lncRNAs, nine miRNAs, and 17 mRNAs differentially expressed in KIRC. Survival analysis of all differentially expressed RNAs showed that 21 lncRNAs, four miRNAs, and two mRNAs were related to the overall survival rate. Cox regression analysis was performed again, and we found that eight lncRNAs were related to prognosis and used to construct predictive models. Three lnRNAs from independent samples were meaningful. Conclusion The construction of ceRNA network was involved in the process and transfer of KIRC, and three lncRNAs may be potential targets for predicting KIRC prognosis. |
| Databáze: | OpenAIRE |
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