scholarly journals Development of prognostic signature based on immune-related genes in muscle-invasive bladder cancer: bioinformatics analysis of TCGA database

Aging ◽  
2021 ◽  
Author(s):  
Kun Jin ◽  
Shi Qiu ◽  
Di Jin ◽  
Xianghong Zhou ◽  
Xiaonan Zheng ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Bioinformatics Analysis ◽  
Invasive Bladder Cancer ◽  
Prognostic Signature ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive ◽  
Immune Related Genes ◽  
Cancer Bioinformatics

scholarly journals Identification and bioinformatics analysis of miRNAs associated with human muscle invasive bladder cancer

2017 ◽  
Vol 16 (6) ◽  
pp. 8709-8720 ◽  
Author(s):  
Liang Chen ◽  
Lushun Yuan ◽  
Gang Wang ◽  
Rui Cao ◽  
Jianping Peng ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Bioinformatics Analysis ◽  
Human Muscle ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

scholarly journals Construction of an Immune-Associated Gene-Based Signature in Muscle-Invasive Bladder Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Chengquan Shen ◽  
Ting Xu ◽  
Yefeng Sun ◽  
Liping Wang ◽  
Zhijuan Liang ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Survival Analysis ◽  
Risk Score ◽  
Disease Free Survival ◽  
Differentially Expressed ◽  
Invasive Bladder Cancer ◽  
Prognostic Signature ◽  
Muscle Invasive Bladder Cancer ◽  
Free Survival ◽  
Muscle Invasive

Background. In recent years, immune-associated genes (IAGs) have been documented as having critical roles in the occurrence and progression of muscle-invasive bladder cancer (MIBC). Novel immune-related biomarkers and a robust prognostic signature for MIBC patients are still limited. The study is aimed at developing an IAG-based signature to predict the prognosis of MIBC patients. Methods. In the present study, we identified differentially expressed IAGs in MIBC by using transcriptomics data from The Cancer Genome Atlas (TCGA) database and proteomics data from our samples. We further constructed an IAG-based signature and evaluated its prognostic and predictive value by survival analysis and nomogram. Tumor Immune Estimation Resource (TIMER) was applied to explore the correlation between the IAG-based signature and immune cell infiltration in the microenvironment of MIBC. Results. A total of 22 differentially expressed IAGs were identified, and 2 IAGs (NR2F6 and AHNAK) were used to establish a prognostic signature. Subsequently, survival analysis showed that high-risk scores were significantly correlated with poor overall survival (OS), progression-free survival (PFS), and disease-free survival (DFS) of MIBC patients. A prognostic nomogram was constructed by integrating clinical factors with the IAG-based signature risk score. In addition, the IAG-based signature risk score was positively associated with the infiltration of macrophages and dendritic cells in MIBC. Conclusions. We constructed and verified a novel IAG-based signature, which could predict the prognosis of MIBC and might reflect the status of the immune microenvironment of MIBC. Further studies in more independent clinical cohorts and further experimental exploration of the prognostic IAG-based signature are still needed.

Predictive value of cadherin-11 for subsequent recurrence and progression in non-muscle invasive bladder cancer

2019 ◽  
Vol 50 (4) ◽  
pp. 456-464 ◽  
Author(s):  
Ming-kun Chen ◽  
Zi-jian Chen ◽  
Kang-hua Xiao ◽  
Zi-ke Qin ◽  
Yun-lin Ye ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cell Lines ◽  
Predictive Value ◽  
Bioinformatics Analysis ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
European Organization ◽  
Score System ◽  
Normal Bladder ◽  
Muscle Invasive

Abstract Background Cadherin-11 (CDH11) is a type II cadherin and reported to function as an oncogene in various cancers. Our present study aims to investigate the role of CDH11 in bladder cancer (BCA). Methods Bioinformatics analysis was performed in four independent microarray data including 56 non-muscle-invasive bladder cancer (NMIBC) and 132 muscle-invasive bladder cancer (MIBC) tissues from Gene Expression Omnibus to screen out differentially expressed genes. Next, we detected CDH11 expression in BCA specimens and cell lines by qPCR and western blotting assays. Immunohistochemical analyses were performed in 209 paraffin-embedded BCA samples and 30 adjacent normal bladder tissues. Results Bioinformatics analysis revealed that CDH11 had a higher expression level in MIBC tissues than in NMIBC, which was consistent with our clinical BCA specimens and cell lines at both mRNA and protein levels. Immunohistochemical analysis demonstrated that over-expression of CDH11 was closely related to the histological grade, pT status, tumour size and poor outcomes of BCA patients. What’s more, CDH11 (area under curve (AUC) = 0.673 and 0.735) had a better predictive value than E-cadherin (AUC = 0.629 and 0.629) and a similar discrimination with the European Organization for Research and Treatment of Cancer (EORTC) score system (AUC = 0.719 and 0.667) in evaluating potential recurrence and progression of NMIBC. Moreover, combination of CDH11 and EORTC score system was the best predictive model in predicting recurrence of NMIBC (AUC = 0.779) among the three models. Conclusions CDH11 was a reliable therapeutic target in BCA and a useful index to predict the possibilities of recurrence and progression in NMIBC patients.

Sex and Racial Disparities in the Treatment and Outcomes of Muscle-invasive Bladder Cancer

Urology ◽  
2020 ◽  
Author(s):  
Jessica Marinaro ◽  
Alexander Zeymo ◽  
Jillian Egan ◽  
Filipe Carvalho ◽  
Ross Krasnow ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Racial Disparities ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive
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