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Exploring the potential prognostic makers for bladder cancer
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The gene expression profiles and prognostic variables were retrieved from GSE31684 [8]. According to the median expression values of the genes in FGFR3-centered PPI network, patients with bladder cancer were divided into high- and low-expression groups. Prognosis-related genes were predicted by Cox regression model based on univariate analysis and multivariate analyses. Survival analysis was conducted by using the bioconductor splines package and survival package in R. Log-rank test was applied for comparison, and p value <0.05 was chosen as the threshold.
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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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