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. 2019 Oct 22;9:1105. doi: 10.3389/fonc.2019.01105

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Copyright © 2019 Wang, Wang, Li, Zhang, Chen and Chen.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification of hub modules correlated with HCC in the datasets via WGCNA. (A) Comparison of differentially over-expressed circRNAs in both GSE 94508 and GSE 97332. Only hsa_circ_0000517 was overlapped. (B) The structure of hsa_circ_0000517 retrieved from CSCD database (http://gb.whu.edu.cn/CSCD/). (C) Analyses of the Scale-Free Topology Model Fit and the Mean Connectivity for different soft threshold powers. (D) Clustering dendrograms of circRNAs. The clustering was based on the combined data from GSE 97332 and GSE 94508. (E) The correlation between various modules and tumor tissues. The correlation coefficient and P-value were presented in the heatmap. (F) Scatter plot of module membership (circRNAs) in the turquoise module.