Fig. 11 | Scientific Reports

Fig. 11

From: SMR-guided molecular subtyping and machine learning model reveals novel prognostic biomarkers and therapeutic targets in non-small cell lung adenocarcinoma

Fig. 11

Application of the RS model in predicting immunotherapy response and drug sensitivity analysis. (A-C) The TIDE database was used to predict TIDE scores and immunotherapy efficacy in LUAD patients. Panel (A) shows the differences in immune exclusion scores between high- and low-risk groups, panel (B) illustrates the proportion of immunotherapy responders in each risk group, and panel (C) displays the differences in TIDE scores between the high- and low-risk groups. (D) The R package oncoPredict was used to predict the IC50 values of various anticancer drugs, comparing drug sensitivity differences between the high- and low-risk groups. Each subplot presents the distribution of IC50 values for a specific drug, with higher IC50 values indicating lower treatment sensitivity.

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