Long noncoding RNA DANCR in various cancers: a meta-analysis and bioinformatics
Authors Wang L, Xie Y, Fang H, Zhang X, Pan H, Yan SX
Received 9 January 2019
Accepted for publication 10 June 2019
Published 15 July 2019 Volume 2019:11 Pages 6581—6592
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 2
Editor who approved publication: Dr Beicheng Sun
Lihong Wang,1 Yalin Xie,2 Hui Fang,1 Xia Zhang,1 Huiyun Pan,1 Senxiang Yan3
1Department of Geratology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang, People’s Republic of China; 2Department of Radiotherapy, Hangzhou Tumor Hospital, Hangzhou 310000, Zhejiang, People’s Republic of China; 3Department of Radiotherapy, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang, People’s Republic of China
Background: Differentiation antagonizing non-protein-coding RNA (DANCR) is a novel long noncoding RNA. Recent studies have shown that DANCR is aberrantly expressed in several types of cancer and is associated with poor outcomes. However, the clinical diagnostic significance of DANCR in tumors is not completely understood.
Methods: We searched the PubMed, Medline, Web of Science, EMBASE, Cochrane Library, and Ovid databases (up to December 30, 2018) for relevant literature. A total of 11 studies with 945 cancer patients were included in the present meta-analysis. We further validated the results using The Cancer Genome Atlas (TCGA) dataset.
Results: High expression of DANCR significantly predicted poor overall survival (low expression group vs high expression group; HR =0.56, 95% CI=[0.43, 0.72], =0.000); this was validated using TCGA. Moreover, DANCR expression was associated with advanced tumor node metastasis stage (I+II:III+IV; OR=0.22, 95% CI=[0.14, 0.35], P=0.001) and lymph node metastasis (no:yes; OR=0.21, 95% CI=[0.13, 0.35], P=0.001).
Conclusion: Our results suggest that elevated DANCR is related to poor clinical outcomes and could serve as a potential prognostic biomarker of cancer.
Keywords: cancer, overall survival, TCGA, long noncoding RNA, DANCR, meta-analysis
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