scholarly journals Three-gene signature predicts disease progression of non-muscle invasive bladder cancer

2011 ◽  
Vol 2 (4) ◽  
pp. 679-684 ◽  
Author(s):  
PILDU JEONG ◽  
YUN-SOK HA ◽  
IN-CHANG CHO ◽  
SEOK-JOONG YUN ◽  
EUN SANG YOO ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Disease Progression ◽  
Gene Signature ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

scholarly journals A Four-Gene Signature Predicts Disease Progression in Muscle Invasive Bladder Cancer

2011 ◽  
Vol 17 (5-6) ◽  
pp. 478-485 ◽  
Author(s):  
Wun-Jae Kim ◽  
Seon-Kyu Kim ◽  
Pildu Jeong ◽  
Seok-Joong Yun ◽  
In-Chang Cho ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Disease Progression ◽  
Gene Signature ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

scholarly journals A stemness-related seven-gene signature for predicting prognosis and treatment response in muscle invasive bladder cancer

2020 ◽  
Author(s):  
Maolang Tian ◽  
Jinlan He ◽  
Jiaqi Han ◽  
Hong Zhu
Keyword(s):  
Bladder Cancer ◽  
High Risk ◽  
Clinical Outcome ◽  
Treatment Response ◽  
Risk Score ◽  
Gene Signature ◽  
Invasive Bladder Cancer ◽  
Cancer Stemness ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

Abstract Background: Muscle invasive bladder cancer (MIBC) is an aggressive cancer characterized by therapeutic resistance and poor prognosis, which are possibly due to the existence of cancer stem cells (CSCs). In this study, we aimed to characterize the expression of cancer stemness-related genes and develop a multi-gene risk signature to predict clinical outcome and treatment response in MIBC.Methods: The mRNA expression data and clinical data of MIBC patients were collected from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database, which included the TCGA training cohort (n = 333) and three GEO validation cohorts, GSE13507 (n = 165), GSE32548 (n = 127), and GSE48075 (n = 72). A list of 166 stemness-related genes were obtained from the Cancer Single Cell State Atlas (CancerSEA) database and prognostic genes for overall survival (OS) were identified by univariate Cox analysis. Then, the least absolute shrinkage and selection operator (LASSO) regression and stepwise multivariate Cox regression were performed to generate a multi-gene risk signature. Kaplan-Meier curve, time-dependent receiver operating characteristic (ROC) curve, multivariate analysis, and stratification analysis were used to evaluate the performance of the gene signature. We also explored the relationship between risk score and response to chemotherapy and radiotherapy in MIBC patients. Moreover, independent prognostic factors for OS were combined together into a nomogram to improve predictive performance.Results: Firstly, a total of 25 prognostic genes were identified. Then, a seven-gene risk signature (EGFR, FOXA2, HES1, MME, RBM6, SMOC2, and TFRC) was constructed and it could robustly classify MIBC patients into high -risk and low-risk groups with different clinical outcomes. ROC curves showed that the seven-gene signature had a robust predictive accuracy in four cohorts. Besides, high risk score was significantly associated with advanced clinical stage and treatment failure. As an independent risk factor for OS, the stemness-related seven-gene signature could achieve better prognostic accuracy when integrated with clinical factors. Conclusions: We developed and validated a robust stemness-related gene signature which could robustly predicate clinical outcome and shed light on the cancer stemness in bladder cancer.

RUNX3 methylation as a predictor for disease progression in patients with non-muscle-invasive bladder cancer

2011 ◽  
Vol 105 (4) ◽  
pp. 425-430 ◽  
Author(s):  
Chunri Yan ◽  
Young-Won Kim ◽  
Yun-Sok Ha ◽  
Isaac Yi Kim ◽  
Yong-June Kim ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Disease Progression ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive

scholarly journals Mitofusin-2 Down-Regulation Predicts Progression of Non-Muscle Invasive Bladder Cancer

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1500
Author(s):  
Antonella Cormio ◽  
Gian Maria Busetto ◽  
Clara Musicco ◽  
Francesca Sanguedolce ◽  
Beppe Calò ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Disease Progression ◽  
Bladder Tumor ◽  
Bladder Wall ◽  
Invasive Bladder Cancer ◽  
Muscle Invasive Bladder Cancer ◽  
Mitofusin 2 ◽  
Clinical Issue ◽  
Expression Levels ◽  
Muscle Invasive

Identification of markers predicting disease outcome is a major clinical issue for non-muscle invasive bladder cancer (NMIBC). The present study aimed to determine the role of the mitochondrial proteins Mitofusin-2 (Mfn2) and caseinolytic protease P (ClpP) in predicting the outcome of NMIBC. The study population consisted of patients scheduled for transurethral resection of bladder tumor upon the clinical diagnosis of bladder cancer (BC). Samples of the main bladder tumor and healthy-looking bladder wall from patients classified as NMIBC were tested for Mfn2 and ClpP. The expression levels of these proteins were correlated to disease recurrence, progression. Mfn2 and ClpP expression levels were significantly higher in lesional than in non-lesional tissue. Low-risk NMIBC had significantly higher Mfn2 expression levels and significantly lower ClpP expression levels than high-risk NMIBC; there were no differences in non-lesional levels of the two proteins. Lesional Mfn2 expression levels were significantly lower in patients who progressed whereas ClpP levels had no impact on any survival outcome. Multivariable analysis adjusting for the EORTC scores showed that Mfn2 downregulation was significantly associated with disease progression. In conclusion, Mfn2 and ClpP proteins were found to be overexpressed in BC as compared to non-lesional bladder tissue and Mfn2 expression predicted disease progression.

Primary High-Grade Non-Muscle-Invasive Bladder Cancer: High NFκB Expression in Tumor Specimens Distinguishes Patients Who are at Risk for Disease Progression

2017 ◽  
Vol 25 (1) ◽  
pp. 225-231 ◽  
Author(s):  
Lampros Mitrakas ◽  
Stavros Gravas ◽  
Christos Papandreou ◽  
Georgios Koukoulis ◽  
Foteini Karasavvidou ◽  
...  
Keyword(s):  
At Risk ◽  
Bladder Cancer ◽  
Disease Progression ◽  
Invasive Bladder Cancer ◽  
High Grade ◽  
Muscle Invasive Bladder Cancer ◽  
Muscle Invasive
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