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Fig. 2 | Cancer Cell International

Fig. 2

From: Deciphering the prognostic features of bladder cancer through gemcitabine resistance and immune-related gene analysis and identifying potential small molecular drug PIK-75

Fig. 2

Identification of GIRGs and construction of GIRS signature. A A volcano plot was used to visualize the DEGs between GEM-sensitive and GEM-resistant T24 cell lines. B A Venn diagram was adopted to visualize the GIRGs. C The LASSO regression lambda filter. The optimal λ was generated when the partial likelihood of deviance reached the minimum value and the corresponding LASSO coefficients of each GIRG were also obtained. D The forest plot illustrated the Multivariate Cox regression analysis of OS in the TCGA training cohort. E, F GIRS scores among distinct molecular subtypes [Lund1 staging system (E); AJCC TNM staging system (F)] in GSE32894. Statistical comparisons were conducted using the Kruskal–Wallis test

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Cancer Cell International

ISSN: 1475-2867

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