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. 2020 Feb 28;19:45. doi: 10.1186/s12943-020-01163-z

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© The Author(s) 2020

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — a Hierarchical clustering of circRNA differential expression profiles between three EOC samples and four normal ovarian samples. The heat maps are generated from differentially expressed circRNAs (top 50). Red and green colors indicate relative expression above or below the average. b Volcano map of deferentially expressed circRNAs (top 50). c Functional analysis of differentially expressed circRNAs (top 50). d The top 50 expressed circRNAs were analyzed by KEGG pathway. (D) CircMUC16 expression was detected in 30 normal ovarian tissues and 70 EOC samples. e The expression of circMUC16 in 30 paired serum samples with normal ovarian tissues and 70 serum samples with epithelial ovarian cancer tissues. Error bars represent the standard error. The symbols * and ** show p < 0.05 and 0.01, respectively