Tumor Microenvironment Analysis Identified Subtypes Associated With the Prognosis and the Tumor Response to Immunotherapy in Bladder Cancer

• DOI: 10.3389/fgene.2021.551605
• Publication Date: 2021-03-01T05:44:55Z
• Authors: Hongxian Zhang; Jiwen Song; Junqiang Dong; Zhuo Liu; Lixuan Lin; Bing Wang; Qiang Ma; Lulin Ma
• Keywords: Gene signature

Background : The efficiency of immune checkpoint inhibitors (ICIs) in bladder cancer (BLCA) treatment has been widely validated; however, the tumor response to ICIs was generally low. It is critical and urgent find biomarkers that can predict ICIs. microenvironment (TME), which may play important roles either dampen or enhance responses, concerned. Methods genome atlas BLCA (TCGA-BLCA) cohort ( n = 400) used this study. Based on proportions 22 types cells calculated by CIBERSORT, TME classified K-means Clustering differentially expressed genes (DEGs) were determined. DEGs, patients into three groups, cluster signature identified after reducing redundant genes. Then TMEscore based genes, samples two subtypes. We performed somatic mutation copy number variation analysis identify genetic characteristics Correlation explore correlation between as well prognosis BLCA. Results According cells, clusters determined, 1,144 DEGs 138 identified. TMEscore-high 199) TMEscore-low 201) Survival showed with phenotype had better prognosis. Among 45 micro-RNAs (miRNAs) 1,033 messenger RNAs (mRNAs) subtypes, 16 miRNAs 287 mRNAs statistically significant impact Furthermore, there 94 differences they enriched RTK-RAS, NOTCH, WNT, Hippo, PI3K pathways. Tumor Immune Dysfunction Exclusion (TIDE) score lower than Receiver operating characteristic (ROC) curve area under (AUC) burden (TMB) 0.6918 0.5374, respectively. Conclusion developed a method classify TMEscore-low, we found subtype good