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. 2024 Nov 27;15:1491808. doi: 10.3389/fimmu.2024.1491808

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Copyright © 2024 Zhu, Xiao, Hou, Huang, Xu, Guo, Dong, Xu, Zhang and Gu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction and validation of anoikis-related model in BLCA. (A) Kaplan-Meier analysis of the training set. (B) The distribution of risk score and the survival status of BLCA patients in the training set. (C) Kaplan-Meier analysis of the testing set. (D) The distribution of risk score and the survival status of BLCA patients in the testing set. (E) Kaplan-Meier analysis of the TCGA set. (F) The distribution of risk score and the survival status of BLCA patients in the TCGA set. (G) Kaplan-Meier analysis of the GSE13507. (H) The distribution of risk score and the survival status of BLCA patients in the GSE13507. (I) The heatmap showed the relevance of anoikis-related model and clinicopathological characteristics. (J-M) The differences in age, gender, grade, and stage between the high- and low-risk groups. (N) The univariate Cox analyses of risk score and clinicopathological variables with OS. (O) The multivariate Cox analyses of risk score and clinicopathological variables with OS. BLCA, Bladder cancer; OS, overall survival. ***P < 0.001.