Research Paper Volume 16, Issue 2 pp 1440—1462
Identification and validation of SLCO4C1 as a biological marker in hepatocellular carcinoma based on anoikis classification features
Figure 3. Construction of the model based on the anoikis classification. (A, B) Co-expression network established by TCGA-LIHC database, GSE14520 data set and ICGC data. (C) Heatmap of the correlation between eigenes and anoikis scores for grey modules. (D) Grey module has the strongest correlation with anoikis (Cor = 0.75, P = 8e−90). (E) The 12 gene expression characteristics based on the type of anoikis were selected using the LASSO-Cox model. (F, G) Optimize the cross validation of parameter selection in LASSO model. (H) Kaplan-Meier curve survival analysis of HCC patients in all samples, train group and test group. (I) Risk curves of all samples, train groups and test groups. (J) Risk status diagram of all samples, train group and test group.