Fig. 9
From: Machine learning unveils key Redox signatures for enhanced breast Cancer therapy
AIARS correlation with immune infiltration and response to immunotherapy in breast cancer. (A) Violin plots comparing ESTIMATE, immune, and stromal scores between low and high AIARS groups. (B) Box plots illustrating TIDE values, dysfunction, and exclusion metrics in low vs. high AIARS patients. (C) Kaplan-Meier survival curves for breast cancer patients stratified by AIARS and TIDE. (D) Violin plots depicting the activity of anti-tumor immunity across tumor stages. (E) Heatmap demonstrating the predictive power of AIARS for responsiveness to different ICIs treatment. The responses (R) and non-responses (noR) to therapies such as anti-PD-1, and anti-MAGE-A3 are stratified by AIARS, with lower AIARS associated with higher responsiveness. (F, J) The violin chart displaying the relation between AIARS and anti-PD1 (F) and anti-PDL1 (J) responses. (G, K) The survival possibility of low- and high-patients in anti-PD1 (g) and anti-PDL1 (k) cohorts. (H, L) Estimating the predictive ability of AIARS via AUC value combining with TMB or without TMB in anti-PD1 (H) and anti-PDL1 (L) cohorts. (I, M) The percentages of CR/PR and SD/PD in anti-PD1 (I) and anti-PDL1 (M) cohorts based on AIARS