Fig. 7
Establishment of clinical feature associated gene modules based on the MCM6-related cell cycle genes by using WGCNA. (A) The association between the MCM6 gene and 14 functional states in pan-cancer using the Cancer Single-cell State Atlas (CancerSEA) (http://biocc.hrbmu.edu.cn/CancerSEA/) database (The “red” color indicates positive correlation, and the “blue” color indicates negative correlation. The size of the circle represents the absolute value of the correlation coefficient). (B) The genes shared by MCM6-related genes and cell cycle genes were identified using a Venn diagram. (C,D) Gene hierarchy tree-clustering diagram with different clinical traits. The graph indicates different genes horizontally and the uncorrelatedness between genes vertically, the lower the branch, the less uncorrelated the genes within the branch, i.e., the stronger the correlation. (E,F) Heatmap of the correlation between the module eigengenes and clinical traits of LUAD. We selected the MEturquoise-grade block for subsequent analysis.
