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. 2022 Jun;11(6):1488–1502. doi: 10.21037/tcr-22-242

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2022 Translational Cancer Research. All rights reserved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

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A risk model based on CI expression can predict patient’s prognosis. (A) The result of univariate Cox regression analyses. (B) A combined plot showing the relationship among risk score, survival time, and expression of 7 genes. (C) Kaplan-Meier OS curves for patients with high/low risk score. (D) Time-dependent ROC analysis showing the 1-, 3- and 5-year AUC. (E) Univariate Cox regression analyses. (F) Multivariate Cox regression analyses. ROC, receiver operating characteristic; OS, overall survival; AUC, area under the curve; CI, complex I.