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. 2022 Aug 22;13:926546. doi: 10.3389/fgene.2022.926546

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Copyright © 2022 Huang, Chen, Zhang, Wang, Zheng, Peng and Xu.

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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WGCNA co-expression network analysis. (A–B). WGCNA analysis of tumor samples in the GSE12452 data set. A total of 12 significantly correlated modules were obtained, among which MEblue showed the strongest correlation with high expression of AURKA; (C–D). WGCNA analysis of tumor samples in the GSE13597 data set. A total of 17 significantly correlated modules were obtained, among which MEblue showed the strongest correlation with high expression of AURKA; (E). Venn diagram results of genes and differential genes of the most significant related modules in WGCNA. A total of 36 hub genes were identified. WGCNA, Weighted Gene Co-Expression Network Analysis; TOM, Topological overlap matrix; ME, Module eigengene; AURKA, Aurora kinase A.