2024
DOI: 10.21203/rs.3.rs-3819403/v1
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A novel molecular classification based on TP53 mutation to predict bladder cancer prognosis and immunotherapy efficacy

Hongyuan Wang,
RongQi Li,
Xiao-Hang Lei
et al.

Abstract: Background The efficacy of TP53, the most widely researched mutation genetic genes in tumor, in tumor metabolic reprogramming remains unclear. Methods The differential analysis of gene expression data information of TP53 mutation and TP53 wild-type patients were conducted to identify TP53 mutation-associated metabolic genes (TMGs), which were used to identify and verify a TP53 mutation-associated metabolic signature (TMMS). Comprehensive bioinformatics analyses were performed to explore biological interpreta… Show more

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