Literature DB >> 33711453

Identification of a prognostic signature based on immune-related genes in bladder cancer.

Zhengtong Lv1, Cheng Pang2, Jinfu Wang2, Haoran Xia3, Jingchao Liu3, Qiuxia Yan4, Shengjie Liu2, Ming Liu5, Jianye Wang6.   

Abstract

Bladder cancer (BLCA) has a high incidence and recurrence rate, and the effect of immunotherapy varies from person to person. Immune-related genes (IRGs) have been shown to be associated with immunotherapy and prognosis in many other cancers, but their role in immunogenic BLCA is less well defined. In this study, we constructed an eight-IRG risk model, which demonstrated strong prognostic and immunotherapeutic predictive power. The signature was significantly related to tumor clinicopathological characteristics, tumor class, immune cell infiltration and mutation status. Additionally, a nomogram containing the risk score and other potential risk factors could effectively predict the long-term overall survival probability of BLCA patients. The enriched mechanisms identified by gene set enrichment analysis suggested that the reason why this signature can accurately distinguish high- and low-risk populations may be closely related to the different degrees of innate immune response and T cell activation in different patients.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bladder cancer; Immune-related genes; Immunotherapy; Prognosis; TCGA

Mesh:

Substances:

Year:  2021        PMID: 33711453     DOI: 10.1016/j.ygeno.2021.03.012

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  2 in total

1.  Expression of ferroptosis-related gene correlates with immune microenvironment and predicts prognosis in gastric cancer.

Authors:  Siyuan Song; Peng Shu
Journal:  Sci Rep       Date:  2022-05-24       Impact factor: 4.996

2.  Development of a Ferroptosis-Related lncRNA Signature to Predict the Prognosis and Immune Landscape of Bladder Cancer.

Authors:  Ranran Zhou; Jingjing Liang; Hu Tian; Qi Chen; Cheng Yang; Cundong Liu
Journal:  Dis Markers       Date:  2021-06-20       Impact factor: 3.434

  2 in total

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