scholarly journals Significant Prognostic Value of the Autophagy-Related Gene P4HB in Bladder Urothelial Carcinoma

2020 ◽  
Vol 10 ◽  
Author(s):  
Lei Lyu ◽  
Wei Xiang ◽  
Fuxin Zheng ◽  
Tao Huang ◽  
Yan Feng ◽  
...  
BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Shuxiong Zeng ◽  
Anwei Liu ◽  
Lihe Dai ◽  
Xiaowen Yu ◽  
Zhensheng Zhang ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Zhongru Fan ◽  
Zhe Zhang ◽  
Chiyuan Piao ◽  
Zhuona Liu ◽  
Zeshu Wang ◽  
...  

BackgroundAlternative splicing (AS) is an indispensable post-transcriptional modification applied during the maturation of mRNA, and AS defects have been associated with many cancers. This study was designed to thoroughly analyze AS events in bladder urothelial carcinoma (BLCA) at the genome-wide level.MethodsWe adopted a gap analysis to screen for significant differential AS events (DASEs) associated with BLCA. DASEs with prognostic value for OS and the disease-free interval (DFI) were identified by Cox analysis. In addition, a differential AS network and AS clusters were identified using unsupervised cluster analysis. We examined differences in the sensitivity to chemotherapy and immunotherapy between BLCA patients with high and low overall survival (OS) risk.ResultsAn extensive number of DASEs (296) were found to be clinically relevant in BLCA. A prognosis model was established based prognostic value of OS and DFI. CUGBP elav-like family member 2 (CELF2) was identified as a hub splicing factor for AS networks. We also identified AS clusters associated with OS using unsupervised cluster analysis, and we predicted that the effects of cisplatin and gemcitabine chemotherapy would be different between high- and low-risk groups based on OS prognosis.ConclusionWe completed a comprehensive analysis of AS events in BLCA at the genome-wide level. The present findings revealed that DASEs and splicing factors tended to impact BLCA patient survival and sensitivity to chemotherapy drugs, which may provide novel prospects for BLCA therapies.


2021 ◽  
Author(s):  
Hong Weng ◽  
Tong Deng ◽  
Shuai Yuan ◽  
Qiao Huang ◽  
Xian-Tao Zeng ◽  
...  

Abstract Background: Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary system. Ferroptosis is a new type of programmed cell death that is iron-dependent and different from apoptosis, cell necrosis, and autophagy. Studies have indicated that many genes are involved in regulating ferroptosis or markers of ferroptosis. However, the value of genes related to ferroptosis in BLCA remains unclear.Methods: We comprehensively evaluated the differences in ferroptosis genes in patients with BLCA and control samples based on public databases, including mRNA expression, mutations, and copy number variations. The ferroptosis gene expression profile was used for consistent clustering to obtain ferr.clusterA and ferrclusterB. An analysis of differences between groups was performed to obtain ferroptosis-related gene, and then consistent clustering was performed to obtain ferr.gene.cluster A and ferr.gene.clusterB. Subsequently, the random forest algorithm was used to reduce dimensionality, Cox analysis was used to screen characteristic genes, principal component analysis was performed, and the ferroptosis score was constructed to quantify the ferroptosis expression of a single sample.Results: According to the ferroptosis score, the samples could be divided into two groups with significant differences in prognosis, which proves that the ferroptosis expression pattern in a single tumor can predict the prognostic response of patients.Conclusion: In summary, ferroptosis-related genes are significantly related to the progression of BLCA.


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 548-548
Author(s):  
Hyun Chang ◽  
Seung-Hyun Lee ◽  
Taeryool Koo ◽  
Moon Ho Kim ◽  
Soo-Yoon Sung

548 Background: The prognostic value of hypoxia in bladder cancer remains unknown. We aimed to evaluate the potential role of hypoxia gene signature as prognostic factors in bladder cancer patients. Methods: We investigated the hypoxia gene signature and clinicopathologic features of The Cancer Genome Atlas (TCGA) bladder urothelial carcinoma (n = 408) using the Kaplan-Meier survival curves and multivariate Cox regression analyses. The clinicopathologic data and the processed data of hypoxia gene signature were obtained from TCGA Bladder urothelial carcinoma database. Results: Hypoxia gene signature score was significantly associated with overall survival (OS) and progression-free survival (PFS). Higher score resulted in shorter OS and PFS in Kaplan-Meier survival curves with Log-rank test ( P < 0.01 and P <0.05, respectively). In multivariate analysis containing clinical prognostic variables, higher hypoxia gene signature score predicted poor OS (adjusted HR= 1.58, 95% CI 1.15 - 2.19; P <0.01). Conclusions: Hypoxia gene signature was an independent prognostic factor in bladder cancer. Prospective studies are needed to evaluate the prognostic role of hypoxia in bladder cancer patients.


2019 ◽  
Vol 87 (12) ◽  
pp. 4737-4746
Author(s):  
SHAIMAA M.M. BEBARS, M.D.; WALAA ABD EL GAWAD GHANAM, M.D. ◽  
RASHA MOHAMED SAMIR SAID, M.D.

2020 ◽  
Author(s):  
Xin Zhao ◽  
Jia Li ◽  
Jiafeng Li ◽  
Wenjun Xiong ◽  
Rui Jiang

Abstract Background: Bladder urothelial carcinoma (BLCA) is the most common pathological type of bladder cancer and featured by a high risk for relapse and metastasis. Although many biomarkers have been developed by data mining and experimental studies to predict the prognosis of BLCA, a single-gene biomarker usually has poor specificity and sensitivity, leading to unsatisfactory prediction. Therefore, novel gene signatures are needed to more accurately predict the prognosis of BLCA.Methods: Data mining was performed for expression profile analysis of 433 mRNA expression data from the TCGA BLCA patients (n=412). Gene Set Enrichment Analysis (GSEA) was used to interpret the glycolysis-related gene sets. Gene signature related to the prognosis of BLCA was identified by univariate and multivariate Cox regression. A risk score was computed based on three genes by linear regression model and its relation with overall survival was investigated by Kaplan-Meier analysis.Results: Three genes (CHPF, AK3, NUP188) were found to be significantly correlated to the overall survival of BLCA patients. Based on the signature composed of these three genes, 412 BLCA patients were divided into high-risk and low-risk groups. The survival time of the high-risk group was significantly shorter than that of the low-risk group, indicating a worse prognosis.Conclusion: A signature composed of three glycolysis-related genes was developed as biomarkers to predict the prognosis of BLCA and to provide a meaningful reference for the clinical treatment of BLCA.


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