Fig. 2 | Scientific Reports

Fig. 2

From: Metabolic alterations driven by LDHA in CD8 + T cells promote immune evasion and therapy resistance in NSCLC

Fig. 2

Identification of Key Genes in LTB + CD8 T Cells. (A) 117 machine learning models were used to predict the AUC of 1-, 3-, and 5-year prognosis. (B). ROC curves for predicting 1-, 3-, and 5-year outcomes using the StepCox[forward] + Lasso model. (C). The StepCox[forward] + Lasso model demonstrated significant prognostic value in univariate COX regression meta-analyses across several datasets. (D–E). Four genes-TBCD, PTPRC, LDHA, and ACTR2-were consistently identified as significant for NSCLC across multiple models.

Back to article page