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Correlations between glycolysis with clinical traits and immune function in bladder urothelial carcinoma.


ABSTRACT:

Background

Glycolysis was a representative hallmark in the tumor microenvironment (TME), and we aimed to explore the correlations between glycolysis with immune activity and clinical traits in bladder urothelial carcinoma (BLCA).

Methods

Our study obtained glycolysis scores for each BLCA samples from TCGA by a single-sample gene set enrichment analysis (ssGSEA) algorithm, based on a glycolytic gene set. The relationship between glycolysis with prognosis, clinical characteristics, and immune function were investigated subsequently.

Results

We found that enhanced glycolysis was associated with poor prognosis and metastasis in BLCA. Moreover, glycolysis had a close correlation with immune function, and enhanced glycolysis increased immune activities. In other words, glycolysis had a positive correlation with immune activities. Immune checkpoints such as IDO1, CD274, were up-regulated in high-glycolysis group as well.

Conclusion

We speculated that in BLCA, elevated glycolysis enhanced immune function, which caused tumor cells to overexpress immune checkpoints to evade immune surveillance. Inhibition of glycolysis might be a promising assistant for immunotherapy in bladder cancer.

SUBMITTER: Che K 

PROVIDER: S-EPMC7897921 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

Correlations between glycolysis with clinical traits and immune function in bladder urothelial carcinoma.

Che Kai K   Han Wenkai W   Li Danxia D   Cui Shuxia S   Zhang Mingxin M   Yang Xiaokun X   Niu Haitao H  

Bioscience reports 20210201 2


<h4>Background</h4>Glycolysis was a representative hallmark in the tumor microenvironment (TME), and we aimed to explore the correlations between glycolysis with immune activity and clinical traits in bladder urothelial carcinoma (BLCA).<h4>Methods</h4>Our study obtained glycolysis scores for each BLCA samples from TCGA by a single-sample gene set enrichment analysis (ssGSEA) algorithm, based on a glycolytic gene set. The relationship between glycolysis with prognosis, clinical characteristics,  ...[more]

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