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Fig. 6 | Journal of Big Data

Fig. 6

From: Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses

Fig. 6

Predictive value of the MLIIC signature in immunotherapy response. (A) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE36540 dataset. (B) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE91061 dataset. (C) Kaplan-Meier survival curves of the MLIIC signature regarding OS in the GSE78220 dataset. (D) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE78220 dataset. (E) Kaplan-Meier survival curves of the MLIIC signature regarding OS in the Van Allen dataset. (F) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the Van Allen dataset. (G) Kaplan-Meier survival curves of the MLIIC signature regarding OS in the Nathanson dataset. (H) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the Nathanson dataset. (I) Kaplan-Meier survival curves of the MLIIC signature regarding OS in the IMvigor dataset. (J) Box plot displayed the levels of the MLIIC signature score in patients with different immunotherapy responses in the IMvigor dataset. (K) Kaplan-Meier survival curves of the MLIIC signature regarding OS in the Braun dataset. (L) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the Braun dataset. (M-N) Box plot displayed the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE179351 dataset. (O) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE165252 dataset. (P) Box plot displays the levels of the MLIIC signature score in patients with different immunotherapy responses in the GSE103668 dataset. (Q) Contingency table of the two MLIIC signature score groups and immunotherapy responses based on TIDE algorithm. (R) Heat map of the two MLIIC signature score groups and anti-PD-1/anti-CTLA-4 immunotherapy responses based on submap analysis

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