Research Paper Volume 15, Issue 24 pp 14733—14748
Anoikis regulator GLI2 promotes NC cell immunity escape by TGF-β-mediated non-classic hedgehog signaling in colorectal cancer: based on artificial intelligence and big data analysis
Figure 4. Screening ARG stratification hubgenes. WCGNA analysis is performed to collect ARG grouping-related genes, in which (A) dynamic tree shows simple sample distribution, and the algorithm finally divides genes into (B) 10 groups. (C, D) Modules show MEblue is closest to ARG grouping (R = −0.75, p = 3.0e-313). (E) CytoScape constructs network of genes in MEblue, in which ODZ3, BAI2, SLC24A3, PDZRN3, PPAPDC1A, GLI2, SHISA2, CPZ, ODZ4, GFPT2, RSPO3, FNDC1, BNC2, FAM106A and LOC220594 are key genes in ARG grouping. (F) Select NK cell exhaustion, B cell exhaustion and T cell exhaustion co-correlated genes in MEblue module, and screened by univariate cox regression, after which 10 genes are selected (ODZ4, PDZRN3, RSPO3, SHISA2, SLC24A3, BNC2, CPZ, FNDC1, GFPT2, GLI2). (G) GO pathway analysis shows 10 genes are related to Hedgehog signaling. (H) KEGG analysis shows 10 genes are related to Hedgehog signaling. (I) Gene expression and immune cell infiltration features in each sample, and GLI2 is selected to display relationship with tumor immunity.