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. 2022 Feb 25;12:3225. doi: 10.1038/s41598-022-07334-w

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Evaluating the predictive performance of this immune-related lncRNA signature on bladder cancer prognoses. (A) ROC curves of the immune-related lncRNA signature for bladder cancer subjects. The maximum inflection point was the cut-off point that was calculated with the AIC method. The AUC value was calculated for evaluating the predictive efficacy of this signature in bladder cancer prognoses. (B) The one-, three- and five-year ROC curves of this signature. (C) Calculating the risk score of each bladder cancer subject and distinguishing patients into high and low risk subgroups based on the cutoff value (vertical dotted line). Red: high risk and green: low risk. (D) Visualizing the distribution of survival status in high and low risk bladder cancer subjects. Red dots: alive and green dots: alive. Vertical dotted line represented the cutoff value of two subgroups. (E) Kaplan–Meier curves of overall survival between high and low risk patients.