Bioinformatics Profiling and Experimental Validation of 4 Differentially-Expressed LIM Genes in the Course of Colorectal-Adenoma-Carcinoma

Ying He; Zongfu Pan; Qian Shi; Xilin Zhang; Weiyun Shen; Lixia Huo; Huihui Guo; Chengwu Tang; Yuhang Ling

doi:10.12659/MSM.937081

20 July 2022 : Clinical Research

Bioinformatics Profiling and Experimental Validation of 4 Differentially-Expressed LIM Genes in the Course of Colorectal-Adenoma-Carcinoma

Ying He^12ABEFG, Zongfu Pan^3ACE, Qian Shi^14B, Xilin Zhang^14B, Weiyun Shen^14D, Lixia Huo^14D, Huihui Guo^14D, Chengwu Tang^14FG*, Yuhang Ling^14ACE

DOI: 10.12659/MSM.937081

Med Sci Monit 2022; 28:e937081

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Figure 4 WGCNA and Module-trait correlation analysis. (A) Sample clustering analysis was performed to exclude outlier samples from GSE117606 and the best β soft threshold was determined depending on scale-free topology and mean connectivity analysis. (B) A hierarchical clustering of the eigengene modules. (C)The adjacency between the eigengene modules is presented in the heatmap. (D) Correlations between the traits (the 4 DELGs, patient age, gender, and pathological subtypes) and the eigengene modules were analyzed and shown in the heatmap (R, version 3.5.1).

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Bioinformatics Profiling and Experimental Validation of 4 Differentially-Expressed LIM Genes in the Course of Colorectal-Adenoma-Carcinoma

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