Fig. 4: Correlation between the PCDI and Clinical Indicators.
From: Machine learning reveals diverse cell death patterns in lung adenocarcinoma prognosis and therapy
a–e Violin plots of the relationship between PCDI and T stage, N stage, M stage, clinical stage, and survival status in TCGA-LUAD cohort. f–h Violin plots of the relationship between PCDI and survival status in GSE31210, GSE50081, and GSE72094. i TCGA-LUAD cohort patients were grouped into two molecular clusters when k = 2 based on the PCD-DEGs profile. j Kaplan‒Meier analysis of the prognosis of TCGA-LUAD cohort patients in the two molecular clusters. k Alluvial diagram showing the interrelationship between the PCDI group, molecular clusters, clinical status, and survival status in LUAD patients. l Heatmap of 10 model genes and clinical factors. **** Means P < 0.0001; ** Means P < 0.01; * Means P < 0.05; ns Means not significant.
