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. 2023 Sep 17;38:101790. doi: 10.1016/j.tranon.2023.101790

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© 2023 The Authors. Published by Elsevier Inc.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Fig 6 — The signature-based model predicts response to immunotherapy. (a) Contingency table between immunotherapy responses and model score groups based on the TIDE algorithm. (b) Contingency table between immunotherapy responses (an-ti-PD-1 and anti-CTLA-4) and model score groups based on submap analysis. (c) KM curves of OS between patients with a high score and a low score in the Braun dataset (left). Box plot displaying the model score in patients with different immunotherapy responses in the Braun dataset (right). (d) KM curves of OS between patients with a high score and a low score in the IMvigor210 dataset (left). Box plot displaying the model score in patients with different immunotherapy responses in the IMvigor210 dataset (right). (e) KM curves of OS between patients with a high score and a low score in the Liu dataset (left). Box plot displaying the model score in patients with different im-munotherapy responses in the Liu dataset (right). (f) KM curves of OS between patients with a high score and a low score in the Gide dataset (left). Box plot displaying the model score in patients with different immunotherapy responses in the Gide dataset (right). (g) KM curves of OS between patients with a high score and a low score in the Rose dataset (left). Box plot displaying the model score in patients with different im-munotherapy responses in the Rose dataset (right). (h) KM curves of OS between pa-tients with a high score and a low score in the Van dataset (left). Box plot displaying the model score in patients with different immunotherapy responses in the Van dataset (right).