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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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Identification of potential anoikis subgroups in BLCA. (A) Two anoikis subgroups (k = 2) and their correlation area are defined by consensus matrix heatmap. (B) The consensus clustering CDF. (C) The analysis of the variation in area under the CDF region. (D) PCA indicated the different distributions between the potential anoikis subgroups. (E) Survival analyses for the ARGcluster A (n = 213) and ARGcluster B (n = 191) cohorts. (F) Differences in clinical characteristics and expression levels of candidate ARGs between ARGcluster A and ARGcluster (B) BLCA, Bladder cancer; CDF, cumulative distribution function; ARGs, anoikis-related genes. ***P < 0.001.