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pmid:34414701
Integrative analysis of prognostic long non-coding RNAs with copy number variation in bladder cancer.
Wenwen Zhong · Dejuan Wang · Bing Yao · Xiaoxia Chen · Zhongyang Wang · Hu Qu · Bo Ma · Lei Ye · Jianguang Qiu
Journal of Zhejiang University. Science. B · 2021 doi:10.1631/jzus.B2000494
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Experiment
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Data
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Analysis
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Execution
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Complete file
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We analyzed lncRNAs with CNV to explore the relationship between lncRNAs and prognosis in bladder cancer (BLCA). Messenger RNA (mRNA) expression levels, DNA methylation, and DNA copy number data of 408 BLCA patients were subjected to integrative bioinformatics analysis. Cluster analysis was performed to obtain different subtypes and differently expressed lncRNAs and coding genes. Weighted gene co-expression network analysis (WGCNA) was performed to identify the co-expression gene and lncRNA modules. CNV-associated lncRNA data and their influence on cancer prognosis were assessed with Kaplan-Meier survival curve. Multi-omics integration analysis revealed five prognostic lncRNAs with CNV, namely NR2F1-AS1, LINC01138, THUMPD3-AS1, LOC101928489,and TMEM147-AS1,and a risk-score signature related to overall survival in BLCA was identified. Moreover, validated results in another independent Gene Expression Omnibus (GEO) dataset, GSE31684, were consistent with these results. 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