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. 2023 Oct 20;11(10):e007369. doi: 10.1136/jitc-2023-007369

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© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

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Biological validation of CRS in TCGA-NSCLC cohort. (A) The volcano plot indicates differentially expressed genes in the TCGA-NSCLC cohort. (B) Correlation analysis between radiomic features with immune checkpoints, immune cells, and immune-related pathways. (C) Predicted responders of immunotherapy in TCGA-NSCLC cohort through transcriptomic data by TIDE algorithm. (D) Distribution of TIDE value TCGA-NSCLC cohort. CRS, combined radiomic signature; NSCLC, non-small cell lung cancer; TCGA, The Cancer Genome Atlas; TIDE, Tumor Immune Dysfunction and Exclusion.