Construction and verification of prognostic models
TCGA-COAD was used in the trial cohort, and GES40976 was used in the
verification cohort. In the mRNA expression data in TCGA-COAD, we used
univariate Cox regression analysis to obtain a total of 22 DEG related
to patient survival (P Value <0.05). In the LASSO COX
regression analysis, P Value <0.05 was filtered as a
statistically different prognostic gene. After re-sampling 1000 times
using the R language ”glmnet” software package[7], a predictive
model that affects the prognosis was established. The median risk score
value was selected as the cutoff value of the COAD cohort, and divided
into high-risk group and low-risk group. The ”survival” software package
and ”survminer” software package of R language were used to perform
Kaplan-Meier analysis and draw survival curves Figure to verify the
correlation between the prognostic model and overall survival. According
to the different risk scores of the patients, the risk curve diagram,
survival status diagram and heat map are drawn.